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About JustPark JustPark is the premier partner offering both B2B solutions for destinations and B2C services for drivers, giving us the best of both worlds. We simplify the entire parking experience. From venues and local government to private driveways, our platform makes it simple for drivers to find, book, and pay for parking-while empowering our operating partners to deliver exceptional parking experiences. We've always believed parking should be easier-from end to end. That's why we, two trailblazing companies-ParkHub and JustPark-have come together to make that vision a reality. ParkHub revolutionized event parking in the US, optimizing venue operations for a smoother, stress-free experience. JustPark transformed parking in the UK, turning the hunt for a spot into a simple, seamless task. Now, as one unified company, we're combining expertise to offer a full-service, frictionless parking solution for both businesses and consumers. About the Role The CS Ops and Enablement specialist will own the operational backbone of our CS organisation: building processes/playbooks, configuring our core toolstack, and, using modern AI tooling to build internal solutions for the team. This isn't a system admin role. We want someone who understands customer success from the inside - who knows what a renewal cycle actually looks like, what makes a QBR useful, where CSMs lose time - and can translate that into systems and workflows that deliver better results for our clients and our business. This role can be based in our London office, and will work with teams across the US and UK. What You'll Do Process & Enablement Partner with Ops leadership to design, document, and continuously improve processes - from onboarding playbooks to renewal workflows and escalation paths Build and maintain a library of templates, email sequences, call frameworks, and internal guides Run onboarding and ongoing training for CS team members across UK and US markets Core Systems & Tooling Planhat is our primary tooling for the success team Own day-to-day administration, including segment logic, health scores, automation rules, computed fields, and dashboards Create and continuously improve complex and custom integrations Maintain and improve our BigQuery, Salesforce and Zendesk integrations, working with relevant platform admins where necessary Contribute to reporting dashboards (Tableau & Claude) which surface success data for executive leadership Manage data integrity across platforms AI-enabled Builder Use AI (Claude Code, Replit, etc) to build solutions which solve CS pain points and increase efficiency Internal-facing tooling; scalable tools for tracking, workflows, reporting, etc AI skills/similar for the success team to improve speed and quality AI agents to handle routine client enquiries and automate repetitive tasks Collaborate with the product and engineering team to share insights that inform feature development, and to integrate success tooling with core products. What Success Looks Like 30 days Established relationships with success/ops teams in both US and UK Reviewed Planhat implementation and agreed action plan for improvement & uptake BigQuery client data reliably surfacing in Planhat Developed or improved at least one process 60 days Implemented 4 or more workflows in Planhat, including at least one which uses client data from BigQuery Established a library of playbooks and templates with initial assets created and a prioritised list of assets to produce Published at least 2 internal tools or agents which delivering measurable improvements 90 days Planhat is clean, well-structured and trusted by the team (the action plan from first 30 days has been delivered) Established cadence of continuous improvement for Planhat, playbooks, templates, etc Supporting multiple members of the broader US and UK team to build and iterate on internal tools and agents Must Have 5+ years of experience client success, account management, revenue operations or similar role - you must understand the domain Hands on experience as an admin for Planhat, Salesforce or comparable platforms (not just user familiarity) Strong process design instincts. Able to map a workflow, identify failure points, and build something that scales Technical fluency to read API specs, review logs and write basic SQL/python/similar scripts Clear written communication, you'll be writing playbooks, training materials, and process docs that others will actually use Excellent interpersonal skills with the ability to communicate clearly and credibly across teams and levels Strong organizational skills, able to work independently and take ownership of assigned tasks in a fast paced environment Nice-to-have (technical) Experience using ChatGPT Codex, Claude Code or similar to ship working solutions (this may be in personal projects) Experience as an admin for Jira, Zendesk, Asana or other similar tooling Experience building reports/dashboards with Tableau, PowerBI or similar tooling Nice-to-have (background) Experience in start-up and/or scale-up businesses Experience working with teams and/or clients across multiple time zones Experience working in B2B2C environments involving both B2B clients and end-users where the commercial model is partly driven by end-user transactions Background in parking technology, mobility, event management or venue operations You're Probably a Good Fit If You enjoy working across a wide range of tools and domains You are passionate about process optimisation You are excited about using AI-development tools to ship working solutions quickly Recharge your batteries Generous holiday policy: 25 days + bank holidays + managers can grant up to 5 extra days for high performance (total of 38 days a year) Free lunch on all office days via Feedr with daily meal choice Free snacks & drinks on all office days Investment in you and your wellbeing Private Medical Insurance with Vitality Life assurance through YuLife £25 credit for eye tests per year Free O2 concert tickets through our partnership with the O2 Simplifying journeys so you can breathe easier £50 parking credit per month via JustPark Cycle-to-work salary sacrifice scheme EV salary sacrifice car scheme via Octopus Energy We look out for your family Enhanced parental leave with 6-months enhanced maternity leave and 4 weeks fully-paid paternity leave Help finding great childcare with funded hours via Koru Kids Look after the pennies Competitive pension offering with standard and salary sacrifice options Success is best when it's shared Quarterly away days with the whole UK team Quarterly team social budget Social activities and celebrations on our gorgeous rooftop in King's Cross

Gravitee is a 2025 Gartner Magic Quadrant Leader, on a mission to govern the world's intelligence. We deliver the industry's most advanced platform for Any API, Any Event, and Any AI Agent, trusted by global leaders like Michelin, Roche, and Blue Yonder. Why join us? The Mission: We are the first to bridge traditional API Management with the new frontier of AI Agent Security The Momentum: A high-growth Leader - combining market credibility with startup speed The DNA: We hire people who Hold Nothing Back - passionate builders who want to redefine digital infrastructure Don't just watch the AI revolution. Build the infrastructure that controls and secures it. The Role: At Gravitee, we aren't just using AI to build features for our users; we are completely reinventing the Software Development Life Cycle (SDLC) itself. This is not a corporate strategy role or a pure ML research position. We are looking for a leading, hands on AI-native engineer. You will lead a high performing squad of DevEx and Platform Engineers to build an AI augmented internal ecosystem that optimises every phase of our lifecycle, from product ideation to production deployment. What You'll Be Doing At Gravitee, impact isn't abstract, it's visible. In this role, you will: Team Leadership & Management Build the Squad: Hire, scale, and lead a high performing team of Developer Experience (DevEx) and Platform Engineers. Lead by Example: Act as a premier AI-native engineer, establishing the standard for how the team leverages advanced AI tools (e.g., Cursor, Devin, custom LLM workflows) to code faster, safer, and smarter. Foster User Empathy: Ensure your team views internal Product Managers, Designers, and Developers as their primary customers. Resource Planning: Masterfully balance the roadmap between long term, high leverage R&D (e.g., experimenting with multi agent orchestration) and immediate, tactical fixes that unblock the engineering organisation Platform Architecture & Context Engineering Architect the AI-Native Stack: Lead the technical implementation of our Internal Developer Platform (IDP), knowing exactly when to rely on traditional, deterministic backend orchestration vs. autonomous LLM agents. Master Context Engineering: Own our ingestion pipeline. You understand that AI is only as good as its context; you will build robust RAG systems that sync codebase knowledge, Linear/Jira histories, and Architecture Decision Records (ADRs) to feed internal tooling and eliminate hallucinations. Infrastructure Guardrails: Ensure all AI-generated code and automated workflows are bounded by strict engineering guardrails, robust error handling, and security scanning. Workflow Acceleration For Product: Architect tools that ingest raw customer feedback, telemetry, and business requirements to assist PMs in drafting rigorous, comprehensive Product Requirement Documents (PRDs). For Engineering: Seamlessly integrate advanced coding assistants that go beyond basic autocomplete, enabling entire scaffolding and test-suite generation directly mapped to the specs created in the product phase. Metrics & Reporting Define the Metrics: Don't guess, measure. Establish and track the core "Physics of Gravitee": Speed, Velocity, and Quality. Monitor AI Adoption: Track and optimise the usage rates of internal AI tools, acceptance rates of AI-generated code/specs, and the direct impact on DORA metrics (Deployment Frequency, Lead Time for Changes) and "Time-to-Spec." Your impact will be visible, measurable, and global. Essential Skills Management Experience: 3+ years of experience managing engineering teams, with a strong preference for DevEx, Platform, Infrastructure, or Tooling teams. A proven track record of hiring exceptional talent. Software Engineering Core: 7+ years of foundational software engineering experience. You are an expert backend engineer or systems architect who builds production grade software that scales. AI & LLM Mastery: Deep, recent, hands on experience operationalising Generative AI. You understand context windows, token optimisation, embedding models, vector databases, and RAG architectures. AI Native Workflow Philosophy: You are deeply embedded in the modern AI development ecosystem. You have a clear, pragmatic philosophy on how AI-driven development changes code quality, testing methodologies, and technical debt. Who Thrives at Gravitee At Gravitee, our growth is powered by people who bring passion to what they build, act with professionalism in how they work, and hold nothing back in their commitment to doing things well. You'll do well here if you: Care deeply about quality, clarity, and impact Are curious, adaptable, and excited by emerging technologies like AI Take ownership and follow through Value collaboration, openness, and continuous improvement Bonus points if you've worked with APIs, cloud-native platforms, AI-enabled systems, or open source, but curiosity matters most. Life at Gravitee At Gravitee, we invest in humans, not just roles. You'll get: Competitive medical coverage Pension / 401k program options Stock options - you build it, you own it 25 days holiday + in country national holidays 3 mental health days + wellness allowance Your birthday off Professional development budget to fuel your growth Hybrid work culture with hubs across regions Quarterly team events + annual offsite at an exciting location A meaningful, progressive, global company culture that is as fun as it is hardworking Endless growth opportunities At Gravitee, we believe diverse perspectives make better products and stronger teams. At Gravitee, no employee or applicant will be treated less favorably on the grounds of sex, marital status, race, color, nationality or ethnic or national origin, disability, gender, sexual orientation, gender identity, age, pregnancy or maternity, marital or civil partner status, or religion or belief.

The AI Architect is a strategic technical partner to the commercial leadership team, responsible for building AI-powered infrastructure that drives predictable, scalable revenue growth. You will combine advanced engineering with commercial analytics, creating intelligent systems that automate workflows, surface insights and enhance decision-making across Sales, Marketing and Customer Success. This is a hands-on, technical role for someone who enjoys building production systems, deploying models and solving real business problems with AI. You'll be responsible for both AI engineering (LLMs, ML models, intelligent automation) and foundational commercial analytics, ensuring the business has robust data infrastructure alongside intelligent capabilities that provide genuine competitive advantage. You will own commercial analytics and the technical architecture of our commercial data ecosystem, whilst building AI solutions that transform how teams operate. A core expectation is to champion an AI-first approach: using AI and automation not just to make existing processes more efficient, but to help the organisation re-imagine how we work. Key Responsibilities AI Engineering & Intelligent Automation Design, build and deploy production AI solutions that drive commercial efficiency and unlock new capabilities for GTM teams. Develop and maintain machine learning models for revenue forecasting, pipeline prediction, lead scoring, churn risk and expansion opportunity identification. Build intelligent automation using LLMs and AI agents to streamline commercial processes (deal analysis, customer sentiment analysis, competitive intelligence, automated reporting). Create AI-enhanced analytics capabilities that surface patterns, anomalies and opportunities that traditional methods would miss. Prototype and ship AI-enabled workflows rapidly, using tools like Claude, coding assistants and modern AI platforms. Evaluate and integrate emerging AI tools, establishing best practices for responsible AI deployment across commercial teams. Partner with Sales, Marketing and Customer Success to identify high-impact opportunities for AI-driven improvement. Revenue Analytics & Insight Deliver clean, reliable data and analysis on NRR, GRR, logo retention, expansion and churn, enabling commercial leaders to turn metrics into actionable strategy. Build sophisticated analytics combining traditional methods and ML approaches to surface leading indicators and inform proactive decision-making. Translate complex datasets into clear narratives, dashboards and recommendations for senior stakeholders and the board. Commercial Systems & Data Infrastructure Own the technical architecture of the commercial data ecosystem, ensuring clean data flow between Salesforce, marketing platforms, product analytics and data warehouses. Act as commercial data and systems owner: define data models, governance, definitions and quality standards. Drive Salesforce technical excellence where needed: build custom objects, fields, automation and integrations that reflect business logic. Build and maintain executive-level dashboards (e.g. in QuickSight or similar) combining traditional metrics with AI-generated insights. Ensure seamless integration between product telemetry, CRM data and commercial analytics systems. Stakeholder Management & Technical Leadership Operate as a trusted advisor to the COO, CCO and commercial leadership on AI capabilities and data-driven strategy. Work closely with leaders such as the VP Sales, VP Customer and VP Marketing to understand their questions, then design AI tools and analysis that answer them. Communicate complex technical concepts clearly to non-technical stakeholders; frame problems and recommend solutions with clarity. Build strong cross-functional relationships with Finance and Commercial teams, influencing without authority. Support onboarding and enablement of commercial team members on AI-powered tools, dashboards and new ways of working. Establish responsible AI practices, addressing bias, explainability and ethical considerations in commercial AI applications. Essential 4+ years in AI/ML Engineering, Data Science, Software Engineering or Commercial Analytics with demonstrated AI application development. Proven ability to work with LLMs and AI agents (OpenAI, Anthropic, open-source models) to build practical business applications. Familiarity with prompt engineering, RAG (retrieval-augmented generation) architectures and fine-tuning approaches. Confident working with APIs, databases and modern data stacks, comfortable learning new tools quickly. Comfortable working with product usage and adoption data Ability to translate business problems into technical solutions and measure impact on commercial outcomes. Excellent communication skills: comfortable presenting to C-suite and translating technical work into business value. Pragmatic builder: bias for shipping working solutions over perfect architectures. Desirable Experience working with CRM systems and commercial datasets (Salesforce experience highly desirable). Experience with sales engagement and email marketing platforms (Outreach, Salesloft, HubSpot). Background in Revenue Operations, Commercial Analytics or SaaS growth analytics. Experience with BI tools (Tableau, Looker, Power BI) and AWS QuickSight. Understanding of causal inference methods for measuring intervention impact. Experience in legal tech, professional services software or complex B2B sales environments. Track record of building internal tools or platforms used by non-technical teams. What we offer you Competitive salary (depending on experience) 25 days holiday per year (plus public holidays). Early Finish Fridays - on the last Friday of every month, we finish at lunchtime! Pension with NEST. Personal Learning & Development budget. Enhanced parental leave policies so you can spend more time with your family. Lots of opportunities for accelerated professional development and career progression. Work alongside a supportive and talented team with the opportunity to grow one of the world's leading LegalTech scale-ups. A warm, genuinely collaborative culture and an awesome team; and Regular socials. Power in diversity We put users at the heart of our design to provide legal transaction experiences that everyone loves. In order to make that a reality, we seek to foster a diverse and inclusive working environment that can empower our people to be creative, effective and innovative, to build a brand we are proud of. We don't discriminate against gender, race, religion or belief, disability, age, marital status or sexual orientation. Whatever your background may be, we welcome anyone with talent, drive and emotional intelligence. We're committed to building a diverse team, and are constantly looking for ways to improve our processes to help us do that.

Here at Humanoid, we believe in a future where robots amplify human potential. That's why we've set out on a mission to build the world's most capable, commercially-scalable, and safe humanoid robots. We're bringing that mission to life with HMND 01 Alpha - our rapidly developed humanoid platform now running in real industrial pilots - and we're growing the team to take it even further. About The Role As a Business Capability Analyst, you will build scalable operational foundations across procurement, inventory, logistics, and finance - redesigning workflows, strengthening governance, and enabling automation through ERP and integrated tools to support fast organisational growth. What You'll Do Build and enhance core business capabilities across procurement, inventory, logistics, and finance spanning processes, roles, controls, automation, and tools. Lead end-to-end redesign of operational workflows and implement scalable operating models that support rapid organisational growth. Drive transformation initiatives that transition teams from manual processes to integrated, automated, and well-governed systems. Define process ownership, roles & responsibilities, and internal controls to ensure compliance, traceability, and clarity across the organisation. Lead the adoption of new processes and tools through structured change management and cross-functional alignment. Define KPIs, SLAs, and governance frameworks to ensure measurable performance and consistent execution. Oversee ERP integrations and digital tool architecture (ERP, Jira, Confluence) to ensure cohesive and scalable digital operations. Manage transformation and process-improvement projects end-to-end, including planning, execution, risk management, and stakeholder communication. Act as an independent driver of continuous improvement, proactively identifying gaps, proposing solutions, and delivering business impact. What We're Looking For 5-10 years of experience in business process design, operational transformation, or business capability development. Strong understanding of business capabilities, operating models, and control frameworks. Proven ability to lead cross-functional change initiatives and drive adoption across operational and technical teams. Experience delivering projects independently, with strong ownership, structure, and attention to detail. Hands-on experience with ERP systems, process automation, Jira, Confluence, and digital tool integration. Ability to work autonomously in a fast-moving environment, propose solutions proactively, and influence stakeholders at all levels. Analytical and structured mindset with strong communication and documentation skills. Passion for solving problems, improving systems, and building scalable organisational foundations. Nice to have: Bachelor's or Master's in Business Administration, Finance, Supply Chain, or related field. What We Offer Meaningful time off to rest and recharge: 23 days of annual leave (accrued), 15 days of paid sick leave, and paid company holidays. Fully funded private healthcare for UK employees, with broad provider access, virtual and in person care, and strong mental health and serious illness support. Equity included-we believe builders should share in what they build. Pension scheme with a total 8% contribution (5% employee, 3% employer) on full earnings. Free daily breakfast, catered lunch, and snacks in office. Collaboration with top-tier engineers, researchers, and product experts in AI and robotics. Freedom to influence the product and own key initiatives.

Exotec is at the forefront of technological excellence in order to redefine the relationship between humans and robots. Our solutions are contributing to the success of some of the largest brands in retail and e Commerce by revolutionizing the way they fulfill their orders to the end consumers, all while mitigating labor constraints and increasing workplace safety. Through the unification of artificial intelligence and high performance hardware, our robotic solutions are now deployed across the globe and our exponential growth has led us to become the first industrial unicorn in France. Working at Exotec is an exciting opportunity to give purpose to your skills. Learn and grow with our ExoPeople around the world to help turn your ideas into a reality. The Logistics Software team at Exotec is building its next exciting product. We are looking for a Product Builder to define, build, and scale it from the ground up. This is not a traditional Product role, you will act as an AI native Product Builder: combining product strategy, technical execution, and hands on delivery using GenAI tools. You will not only define the product - you will actively help build and ship it. Define the Future Define and communicate a clear product vision and measurable outcomes for the new product, aligned with the overall Exotec strategy. Co create the go to market strategy, identifying target customers, value propositions, and early adoption opportunities. Identify unmet needs in warehouse operations through direct customer engagement, field insights, and data analysis. Explore how AI native workflows (agents, LLMs, automation) can redefine warehouse orchestration and execution. Build & Ship Drive end to end product development: from problem framing to prototype to production deployment in hundreds of warehouses. You will build a product from 0 to 1 and then 1 to scale. Translate strategy into clear epics, user stories, and technical architectures alongside engineers and architects. Build and ship product artefacts (user stories, specs, test plans, mock ups, features, etc.) using agentic AI tools (e.g., Claude Code, GitHub Copilot), contributing directly to production code when needed. Deliver early, iterate fast, and continuously improve based on real world usage. Partner deeply with engineering: this is a hands on role, not a purely managerial one. Scale & Execute Lead a cross functional team of software engineers, architects, and QA to deliver high quality software at speed. Own and prioritize the product roadmap and backlog, balancing short term wins with long term bets. Ensure strong synchronization across Exotec products (hardware, Deepsky, data analytics, maintenance software), planning and managing dependencies across teams. Ensure clarity of scope and priorities for all stakeholders, resolving conflicts and making trade off decisions when needed. Collaborate closely with Sales, Solutions, Customer Success, and Marketing to ensure successful product adoption. Represent the product internally and externally, communicating progress, trade offs, and impact to senior stakeholders. Who you are? 5+ years of experience in product management, software engineering, or technical leadership roles. Builder mindset: experience launching new products, startups, or internal innovations. Proven track record of shipping complex software products in fast paced environments. High technical acumen. Experience using AI assisted development tools (e.g., Claude Code, GitHub Copilot, LLM APIs). Ability to independently drive initiatives from idea to prototype to production. Excellent communication skills, with experience engaging senior stakeholders and cross functional teams. Strong prioritization and execution skills. Full professional fluency in English (C1+). Preferred Qualifications Experience with warehouse execution, orchestration, or supply chain software. Founder experience. Competitive health insurance and supplemental benefits coverage Attractive family policy Internal and international mobility program Numerous training and development opportunities Location: Wasquehal, France (Lille metropolitan area) Work model: On site or hybrid ( 50% in office presence). This can be structured as a few days per week or one week on site / one week remote, depending on team needs and individual preferences. Exotec is an equal opportunity employer and all applicants will be considered without regard to race, religion, color, sex, gender, sexual orientation, pregnancy, age, national origin, ancestry, physical or mental disability, medical condition, military or veteran status, genetic information, marital status, ethnicity, or any other protected classification, in accordance with applicable federal, state, and local laws. We provide an inclusive work environment that respects all differences.

About Euromonitor Euromonitor International leads the world in data analytics and research into markets, industries, economies and consumers. We provide truly global insight and data on thousands of products and services; we are the first destination for organisations seeking growth. With our guidance, our clients can make bold, strategic decisions with confidence. About the role Reporting to the Director of Gen AI, the AI Knowledge Architect will be Euromonitor's foremost authority on AI knowledge systems - holding formal sign off power over the tools, skills, and integrations that the entire organisation builds on. This is an exciting, newly created role at the start of a significant journey. You will define best practice from the ground up, establishing the frameworks and canonical skill catalogue that will shape how Euromonitor uses AI for years to come. The emphasis and scope of the role will grow as our agentic expertise deepens and AI capability spreads across the business. This is equally a role for a senior technical builder who governs as a consequence of deep expertise, and for a governance and standards leader who can get hands on when it counts. What unites both profiles is genuine command of the technology and the vision to see where it is heading. This is a rare opportunity to define a discipline from first principles at a globally recognised intelligence brand. If you are motivated by impact, intellectual challenge, and the chance to leave a lasting mark on how a world class organisation uses AI, we would love to hear from you. What you'll be doing: Knowledge architecture and AI systems ( 25%) Develop and maintain deep expertise in the agentic entity set underpinning Euromonitor's AI capabilities: tool calls, connectors, APIs, MCP (Model Context Protocol), native and custom integrations, and computer and browser use Build in depth command of system instructions and skills architecture - including how skills are invoked directly and indirectly, and how they can be chained into reliable end to end workflows Architect retrieval frameworks that ground AI outputs in verified, properly attributed Euromonitor data, designed to be platform and framework agnostic Governance, standards, and the AI skill catalogue ( 35%) Own and maintain Euromonitor's canonical AI skill catalogue - the quality assured library of tools and integrations available across the organisation Apply a rigorous strategic value test: every skill must encode a proprietary Euromonitor way of working or draw from Euromonitor specific data sources; generic capabilities that agents can replicate on the fly do not qualify Set contribution standards, version control, and deprecation policies - and embed proportionate security standards into the review process in partnership with Information Security Organisational AI enablement and culture-building ( 25%) Drive the cultural change needed to embed AI capability across all functions, designing the enablement architecture that allows teams at different levels of technical maturity to adopt AI confidently Identify, sponsor, and develop AI champions across the business - the long term carriers of AI culture at Euromonitor Deliver proof of concept reference implementations that demonstrate best practice in design, documentation, and integration Cross functional collaboration ( 15%) Serve as the expert voice on AI knowledge quality and system design in product planning, roadmap, and senior leadership forums Partner with Product, AI Engineering, and Research to ensure knowledge architecture decisions support Euromonitor's commercial and product ambitions What you'll bring: Deep practical understanding of how agentic AI platforms and large language models work - including system instruction design, skills architecture, tool calling, RAG, and connector protocols such as MCP Hands on experience building or architecting AI skills and workflows, with a clear grasp of how skills can be chained for reliable end to end automation Experience curating shared tool libraries or platform standards, with the judgement to distinguish genuinely proprietary capabilities from generic ones Confident communication - able to write rigorous technical documentation, exercise formal catalogue authority with peers, and present strategic rationale to senior leadership Familiarity with knowledge and metadata management principles, regardless of specific platforms encountered Who you are: You are energised by building something from scratch in a fast moving domain You see governance as a product of deep expertise, not a constraint on innovation You are equally comfortable setting an architectural standard and rolling up your sleeves to build a reference implementation You track the AI landscape with genuine curiosity - not just how the tools work today, but where they are going What you'll get: The opportunity to step into a brand new role and build something exciting from scratch Career growth opportunities as the role evolves significantly Be part of a truly global company with regular communication across all of our 16 global offices The ability to establish brand new frameworks and be an integral part of Euromonitor's history Excellent benefits: We offer competitive salaries, generous holiday allowances, hybrid working and, in many offices, a Core Hours policy allowing flexible start and finish times each day. Opportunities to grow: We offer extensive training and development opportunities at all levels. The vast majority of our Managers and Directors have been promoted from within and many have moved across departments as well as upwards. We pride ourselves on identifying and rewarding talent. Equal Employment Opportunity Statement: Euromonitor International does not discriminate in employment on the basis of race, colour, religion, sex, national origin, political affiliation, sexual orientation, gender identity, marital status, disability and genetic information, age, membership in an employee organization, or other non merit factor.

About the role Henley Morgan is recruiting an Odoo Project Manager in Edinburgh for a fast-growing Edinburgh-headquartered scaleup running their entire global operation on Odoo. This is an in-house, end-user Odoo Project Manager role - not an agency or partner role - owning the Odoo product roadmap, internal Odoo implementation projects, version upgrades and continuous-improvement portfolio across Finance, Inventory, Manufacturing, eCommerce and HR. If you are an Edinburgh or Scotland-based Odoo Project Manager, ERP Project Manager or Senior Odoo Functional Consultant ready to step in-house, this is one of the most genuinely interesting Odoo Project Manager jobs in Scotland. Key responsibilities Own the in-house Odoo product roadmap and quarterly release backlog across Odoo Accounting, Inventory, Manufacturing, eCommerce, POS, HR and Recruitment modules Lead end-to-end Odoo implementation, upgrade and rollout projects across UK, EMEA and US entities, managing both internal Odoo developers and external Odoo Gold Partner resources Run discovery and requirements workshops with finance, operations, supply-chain and customer-experience stakeholders, translating business goals into a prioritised Odoo backlog Manage Odoo project governance - RAID logs, steering committees, budget tracking, vendor SoWs and change control Define Odoo testing, training and cutover plans and own go-live and hypercare for major Odoo releases Champion Odoo best practice internally - upgrade-safe customisation, OCA modules and clean release management Skills and experience required Demonstrable experience as an Odoo Project Manager, ERP Project Manager (Odoo / OpenERP) or Senior Odoo Functional Consultant moving into PM Proven full-lifecycle Odoo implementation track record across at least 2-3 Odoo projects (Odoo 16 / 17 / 18) Strong functional knowledge of core Odoo modules - Accounting, Inventory, Sales, Purchase, Manufacturing and eCommerce Confident project management skills, ideally with PRINCE2, AgilePM, Scrum or PMP certification Excellent stakeholder management skills with the ability to lead non-technical finance and operations leaders through Odoo change Eligible to work in the UK and able to attend the Edinburgh office on a hybrid basis (typically 2-3 days per week) Desirable / nice to have Odoo certification on Odoo 16/17/18 Previous in-house ERP / Odoo experience (rather than partner-only) Exposure to Odoo Manufacturing (MRP), POS or eCommerce themes and Website Builder Experience working with Odoo Gold Partners and OCA community modules Why apply? Our client is a profitable, founder-led Edinburgh scaleup with a strong product story, a stable Odoo platform and ambitious 3-year international expansion plans. You will be the first dedicated Odoo Project Manager and report directly to the COO. The package includes £65,000-£80,000 base, performance bonus, share options, fully-funded Odoo certifications, conference budget (Odoo Experience), 26 days holiday, private medical and a genuine 2-3-day-a-week hybrid policy from the Edinburgh office. How to apply To apply for this Odoo Project Manager role in Edinburgh, please submit your CV via the Henley Morgan website. All applications are treated in the strictest confidence and reviewed by a specialist Odoo recruitment consultant within 48 hours.

Gravitee is a 2025 Gartner Magic Quadrant Leader, on a mission to govern the world's intelligence. We deliver the industry's most advanced platform for Any API, Any Event, and Any AI Agent, trusted by global leaders like Michelin, Roche, and Blue Yonder. Why join us? The Mission: We are the first to bridge traditional API Management with the new frontier of AI Agent Security The Momentum: A high-growth Leader - combining market credibility with startup speed The DNA: We hire people who Hold Nothing Back - passionate builders who want to redefine digital infrastructure Don't just watch the AI revolution. Build the infrastructure that controls and secures it. The Role: At Gravitee, we aren't just using AI to build features for our users; we are completely reinventing the Software Development Life Cycle (SDLC) itself. This is not a corporate strategy role or a pure ML research position. We are looking for a leading, hands on AI-native engineer. You will lead a high performing squad of DevEx and Platform Engineers to build an AI augmented internal ecosystem that optimises every phase of our lifecycle, from product ideation to production deployment. What You'll Be Doing At Gravitee, impact isn't abstract, it's visible. In this role, you will: Team Leadership & Management Build the Squad: Hire, scale, and lead a high performing team of Developer Experience (DevEx) and Platform Engineers. Lead by Example: Act as a premier AI-native engineer, establishing the standard for how the team leverages advanced AI tools (e.g., Cursor, Devin, custom LLM workflows) to code faster, safer, and smarter. Foster User Empathy: Ensure your team views internal Product Managers, Designers, and Developers as their primary customers. Resource Planning: Masterfully balance the roadmap between long term, high leverage R&D (e.g., experimenting with multi agent orchestration) and immediate, tactical fixes that unblock the engineering organisation Platform Architecture & Context Engineering Architect the AI-Native Stack: Lead the technical implementation of our Internal Developer Platform (IDP), knowing exactly when to rely on traditional, deterministic backend orchestration vs. autonomous LLM agents. Master Context Engineering: Own our ingestion pipeline. You understand that AI is only as good as its context; you will build robust RAG systems that sync codebase knowledge, Linear/Jira histories, and Architecture Decision Records (ADRs) to feed internal tooling and eliminate hallucinations. Infrastructure Guardrails: Ensure all AI-generated code and automated workflows are bounded by strict engineering guardrails, robust error handling, and security scanning. Workflow Acceleration For Product: Architect tools that ingest raw customer feedback, telemetry, and business requirements to assist PMs in drafting rigorous, comprehensive Product Requirement Documents (PRDs). For Engineering: Seamlessly integrate advanced coding assistants that go beyond basic autocomplete, enabling entire scaffolding and test-suite generation directly mapped to the specs created in the product phase. Metrics & Reporting Define the Metrics: Don't guess, measure. Establish and track the core "Physics of Gravitee": Speed, Velocity, and Quality. Monitor AI Adoption: Track and optimise the usage rates of internal AI tools, acceptance rates of AI-generated code/specs, and the direct impact on DORA metrics (Deployment Frequency, Lead Time for Changes) and "Time-to-Spec." Your impact will be visible, measurable, and global. Essential Skills Management Experience: 3+ years of experience managing engineering teams, with a strong preference for DevEx, Platform, Infrastructure, or Tooling teams. A proven track record of hiring exceptional talent. Software Engineering Core: 7+ years of foundational software engineering experience. You are an expert backend engineer or systems architect who builds production grade software that scales. AI & LLM Mastery: Deep, recent, hands on experience operationalising Generative AI. You understand context windows, token optimisation, embedding models, vector databases, and RAG architectures. AI Native Workflow Philosophy: You are deeply embedded in the modern AI development ecosystem. You have a clear, pragmatic philosophy on how AI-driven development changes code quality, testing methodologies, and technical debt. Who Thrives at Gravitee At Gravitee, our growth is powered by people who bring passion to what they build, act with professionalism in how they work, and hold nothing back in their commitment to doing things well. You'll do well here if you: Care deeply about quality, clarity, and impact Are curious, adaptable, and excited by emerging technologies like AI Take ownership and follow through Value collaboration, openness, and continuous improvement Bonus points if you've worked with APIs, cloud-native platforms, AI-enabled systems, or open source, but curiosity matters most. Life at Gravitee At Gravitee, we invest in humans, not just roles. You'll get: Competitive medical coverage Pension / 401k program options Stock options - you build it, you own it 25 days holiday + in country national holidays 3 mental health days + wellness allowance Your birthday off Professional development budget to fuel your growth Hybrid work culture with hubs across regions Quarterly team events + annual offsite at an exciting location A meaningful, progressive, global company culture that is as fun as it is hardworking Endless growth opportunities At Gravitee, we believe diverse perspectives make better products and stronger teams. At Gravitee, no employee or applicant will be treated less favorably on the grounds of sex, marital status, race, color, nationality or ethnic or national origin, disability, gender, sexual orientation, gender identity, age, pregnancy or maternity, marital or civil partner status, or religion or belief.

About Gelato Gelato has built the world's largest and most global network for on-demand production of customized items e.g. t-shirts, wall art, mugs, books, hoodies, and cards. We support a new wave of e-commerce entrepreneurs and the global shift towards local and more sustainable production. In many ways, we at Gelato are rethinking how digital fabrication of customized products can be done on-demand. Just imagine what will happen when we add 3D printing capabilities to this global service. We are already empowering thousands of e-commerce entrepreneurs to grow and scale their businesses. Platform Gelato is an AI-first, cloud-native platform transforming local, on-demand production and delivery - with zero physical assets. We power: Global production orchestration: connecting e-commerce customers to 130+ partners across 32 countries. From AI-guided plate design to smart routing and logistics, we deliver to over 5 billion people in under 72 hours-faster, greener, smarter. GelatoConnect: our AI-driven print production OS that helps producers master digital printing - from inventory to shipping - by automating every step: procurement, prepress, printing, packaging, and dispatch. It's machine-agnostic, real-time, and built for uptime, precision, and profitability. AI at the Core We are not just early adopters of AI - we're AI-native builders. Across engineering, product, and operations, we embrace AI to accelerate innovation: AI-first development using LLMs for code generation, testing, documentation, and design exploration. Autonomous AI agents driving platform resilience, observability, cost control, and internal workflow automation. AI-native product features built into GelatoConnect and the core platform - improving routing, personalization, and production optimization. A culture of continuous experimentation with RAG, agent orchestration, prompt engineering, and model fine-tuning. What you will be doing Using the latest technologies to solve real problems for our customers at a massive scale Collaborating closely with other engineers as a valuable member of a cross-functional team Sharing your knowledge and building creative solutions while helping the team evolve best practices Designing, developing, and deploying backend services with a focus on high availability, low latency, and scalability Taking end-to-end responsibility for the services that are owned by your team, including taking part in an on-call rotation Who you are A programming language agnostic having 5+ years of experience in a similar role Having a minimum of B.S. degree in Information Technology or Computer Sciences Able to adapt, change and grow quickly as we scale the organization Passionate about engineering practices like agile, continuous delivery, test-driven development, traceability, and observability Growth mentality, are curious and not afraid to be experimental. You share your ideas and continuously improve yourself and the team around you Solid experience as an Engineer designing, developing, and maintaining API driven solutions Strong communication skills, high integrity, and great attention to detail Possess knowledge and experience, or have an interest in working with: Docker and Kubernetes GoLang (Go-kit, DDD) and PHP (Symfony) Microservices architecture PostgreSQL, BigQuery, RabbitMQ Memcache, Redis ELK, DataDog, Prometheus & Grafana What it's like to work at Gelato We are a customer-obsessed team with the ambition to change the world by connecting technology to the printing industry and making it much more sustainable. Everyone who joins our team must feel genuinely intrigued and motivated by our mission. We expect a lot. We are a driven team with big goals, so we seek individuals who are genuinely passionate about their work and possess an entrepreneurial spirit. Our culture is unique and we live by our values, so it's worth learning more about our culture and how we work before presenting your application. At Gelato, we pride ourselves on our global presence with 14 offices worldwide, fostering a dynamic and diverse work environment. Rooted in a culture that values collaboration, creativity, and camaraderie, we actively cultivate a company culture that thrives on shared experiences. We encourage team members to embrace this culture by working from our inspiring office spaces at least three days a week, allowing for meaningful connections and collective growth. Lastly, we ask that you please upload your CV in English, regardless of which country you are applying from.

Google - London, UK Bachelor's degree or equivalent practical experience. 8 years of experience in software development. 8 years of experience testing, and launching software products, and 3 years of experience with software design and architecture. 8 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning). 8 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialisation in another ML field. Preferred qualifications: Master's degree or PhD in Engineering, Computer Science, or a related technical field. 8 years of experience with data structures and algorithms. 8 years of experience in a technical leadership role leading project teams and setting technical direction. About the job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to manage information at a massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. As a Forward Deployed Developer (FDE), you will be at the forefront of applying Google's Generative AI to solve real-world issues for customers. You will act as a specialized software engineer embedded with key accounts, working to build, deploy, and optimize sophisticated AI agents on our Customer Engagement Suite (CES) platform. You will bridge the gap between core product developing teams and customer needs, directly accelerating customer success and shaping the future of AI products. Applied AI builds conversational agents deployed at a large-scale that achieve very meaningful results in the real world. Some examples include the customer agent built for large call center environments, to fast food ordering managed by our Food AI agent. The team is transforming how enterprises connect with customers through the power of AI. We also offer unique experiences for team members where you get to work directly with the model builders (Google DeepMind / Vertex), learn and work with brilliant AI leaders, and have access to Global 1000 customers via our existing Google Cloud relationships. The opportunity in this space is tremendous. Responsibilities Partner directly with customers to understand their business issues while designing, co-developing, debugging, and deploying custom conversational AI agents and solutions to accelerate their time to value. Systematise insights from customer engagements by creating reusable tools, building documentation and accelerators, and establishing best practices for organisation-wide use. Act as a problem solver, empowered to write bespoke code, develop custom tooling, and even contribute directly to the core product codebase to resolve critical customer issues. Lead the design and implementation of solutions in specialized ML areas, optimize ML infrastructure, and guide the development of model optimization and data processing strategies. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters. The Position Healthcare is evolving, and Global Procurement is responding by continuously striving for the highest possible performance, taking innovative and strategic approaches to business and supplier partnerships. Global Procurement proactively manages the entire supplier ecosystem, making a vital contribution to improving health outcomes, reducing costs for patients and global healthcare systems, and ensuring that Roche continues doing now what patients need next. This Programs and Solutions Lead - Digital and Tech role sits within the Strategy and Solutions Chapter, where our mission is to orchestrate strategic priorities, catalyse value delivery for the business, and amplify Procurement Excellence. We don't just manage processes; we drive continuous improvement to strengthen Global Procurement's impact on the entire Roche organisation. As a Programs and Solutions Lead, you will guide a high-performing, agile team focused on Digital and Tech. Your mandate is to lead the charge in bringing innovative solutions to life and accelerating procurement impact. In this role, you will lead the team to deliver against a high-impact portfolio encompassing: Market and Supplier-Driven Innovation: Co-creation of market-first solutions to solve complex business challenges. You will be expected to challenge the status quo and redefine ways of working, looking beyond the traditional value chain to deliver impact beyond standard procurement metrics. Complex Strategic Programs and projects: Acceleration and amplification of outcomes for high-stakes procurement initiatives, such as large-scale programs (e.g. cost transformations) and critical projects (e.g. complex negotiations and sourcing). These initiatives are selected for their strategic weight, impact, and feasibility. You will lead a team expected to set the gold standard for quality and pace, requiring a "continuous development" mindset to stay ahead of market trends. This is a chance to deliver measurable impact while shaping a team culture that reflects Roche's commitment to people and patients. Beyond project delivery, you will be a community-builder, fostering a culture of curiosity, psychological safety, and radical collaboration where people feel empowered to experiment and grow. You will coach a medium-to-large team, guiding resource allocation to the highest impact work and planning to turn high-level objectives into reality. The Opportunity: Portfolio & Program Leadership: Lead your team in a fast-paced global environment to manage a diverse portfolio of solutions and programs (including cost transformations and critical negotiations) that deliver massive value for Digital and Tech stakeholders. Culture & Community Building: Cultivate a high-trust, inclusive environment. You will be a key driver in building a community where team members feel safe to share failures as learnings, celebrate successes together, and collaborate across boundaries to spark new ideas. Resource Orchestration: Dynamically balance resources to maximize impact; you will work across networks and squads to ensure the right talent is in the right place at the right time. Strategic Innovation & Problem Solving: Diagnose complex business needs within the Digital and Tech space, selecting the right approach (e.g. Solution versus program) seeking avenues to accelerate value realisation Framework Excellence: Lead the design and refinement of project tools and frameworks for both "beyond-procurement" models and complex strategic programs. Stakeholder Partnerships: Success is built on relationships. You will effectively network within Global Procurement and the broader business, influencing senior leaders through data-driven insights, compelling storytelling, and seamless collaboration. Domain Mastery: Maintain a deep focus on Digital and Tech while remaining agile enough to adapt to future market shifts and evolving business priorities. Who You Are: Education: University degree (Business, Life Sciences, or a related field preferred). Experience: A seasoned expert in IT procurement, or management consulting, with a proven track record of leading supplier innovation, complex cost-out initiatives, or high-value negotiations. Strategic Visionary: A leader with a history of delivering complex strategies and managing significant business cases, who translates vision into measurable results. Influential Communicator: An astute communicator with exceptional presentation skills, capable of navigating senior-level discussions and solving intricate problems through collaboration. Efficiency Mindset: You value speed-to-market. You prefer scaling and repurposing successful frameworks over starting from scratch. Enterprise Thinker: You "connect the dots" across the Roche procurement network, understanding how we can drive a greater impact for Roche and the implications this can have. Continuous Development: You are a leader who prioritises people, community and continuous development. You are known for being inclusive, open-minded, and receptive to ideas and feedback from others, and you actively work to create a sense of belonging for your team. Language: Business-level fluency in English Where pay transparency applies, details are provided based on the primary posting location. For this role, the primary location is Welwyn. If you are interested in additional locations where the role may be available, we will provide the relevant compensation details later in the hiring process. Who we are A healthier future drives us to innovate. Together, more than 100'000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact. Let's build a healthier future, together. The statements herein are intended to describe the general nature and level of work being performed by employees, and are not to be construed as an exhaustive list of responsibilities, duties, and skills required of personnel so classified. Furthermore, they do not establish a contract for employment and are subject to change at the discretion of Roche Products Ltd. At Roche Products we believe diversity drives innovation and we are committed to building a diverse and flexible working environment. All qualified applicants will receive consideration for employment without regard to race, religion or belief, sex, gender reassignment, sexual orientation, marriage and civil partnership, pregnancy and maternity, disability or age. We recognise the importance of flexible working and will review all applicants' requests with care. At Roche difference is valued and we are proud to be an equal opportunity employer where you are encouraged to bring your whole self to work.

corporate_fare Google place London, UK Bachelor's degree in Engineering, Computer Science, a related field, or equivalent practical experience. Experience building and shipping production-grade AI-driven solutions to external or internal customers using Python, Typescript, or similar languages. Experience leading technical discovery sessions with business stakeholders and engineering teams to define AI and hardware infrastructure requirements. Experience architecting scalable AI systems on cloud platforms e.g., Google Cloud Platform (GCP). Experience building pipelines for structured, unstructured data, incorporating vector databases and Retrieval-Augmented Generation (RAG)-like architectures to power enterprise-grade AI solutions. Preferred qualifications Master's degree or PhD in AI, Computer Science, or a related technical field. Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, or Google's ADK) and patterns like ReAct, self-reflection, and hierarchical delegation. Knowledge of LLM-native metrics (tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing. About the job As a Generative AI Forward Deployed Engineer at Google Cloud, you will be an embedded builder bridging the gap between frontier AI products and production-grade reality for our customers. You will function as a builder-consultant, moving beyond high-level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customer's environment. In this role, you will manage blockers to production including solving the integration complexities, data readiness issues, and state-management issues that prevent AI from reaching enterprise-grade maturity. By embedding with accounts, you will serve a dual purpose: providing white-glove deployment of AI systems and acting as a critical feedback loop, transforming real-world field insights into Google Cloud's future product roadmap. It's an exciting time to join Google Cloud's Go-To-Market team, leading the AI revolution for businesses worldwide. You'll excel by leveraging Google's brand credibility-a legacy built on inventing foundational technologies and proven at scale. We'll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We're a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era-the market is yours. Responsibilities Serve as the lead developer for AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, Model Context Protocol (MCP) servers) that drive measurable return on investment. Architect and code the connective tissue between Google's AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters. Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet rigorous requirements for accuracy, safety, and latency. Identify repeatable field patterns and technical friction points in Google's AI stack, converting them into reusable modules or product feature requests for engineering teams. Drive engineering excellence by mentoring talent, co-building with customer teams, and influencing cross-functional strategies to uplevel organizational technical capabilities. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

corporate_fare Google place London, UK Apply Bachelor's degree in Engineering, Computer Science, a related field, or equivalent practical experience. 8 years of experience building and shipping production grade AI driven solutions to external or internal customers using Python, Typescript or comparable languages. Experience leading technical discovery sessions with business stakeholders and engineering teams to define AI and hardware infrastructure requirements. Experience designing and building AI systems on cloud platforms (e.g., Google Cloud Platform (GCP . Experience building pipelines for structured, unstructured data, incorporating vector databases and Retrieval Augmented Generation (RAG)-like architectures to power enterprise grade AI solutions. Preferred qualifications: Master's degree or PhD in AI, Computer Science, or a related technical field. Experience implementing multi agent systems using frameworks (e.g., LangGraph, CrewAI, or Google's Agent Development Kit (ADK and patterns like ReAct, self reflection, and hierarchical delegation. Knowledge of large language model native metrics (tokens/sec, cost per request) and techniques for optimizing state management and granular tracing. About the job As a GenAI Forward Deployed Engineer at Google Cloud, you will be an embedded builder bridging the gap between frontier AI products and production grade reality for our customers. You will function as a builder consultant, moving beyond high level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customer's environment. In this role, you will manage blockers to production including solving the integration complexities, data readiness issues, and state management issues that prevent AI from reaching enterprise grade maturity. By embedding with accounts, you will serve a dual purpose: providing white glove deployment of AI systems and acting as a critical feedback loop, transforming real world field insights into Google Cloud's future product roadmap. It's an exciting time to join Google Cloud's Go To Market team, leading the AI revolution for businesses worldwide. You'll excel by leveraging Google's brand credibility-a legacy built on inventing foundational technologies and proven at scale. We'll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We're a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era-the market is yours. Responsibilities Serve as the lead developer for AI applications, transitioning from rapid prototypes to production grade agentic workflows (e.g., multi agent systems, model context protocol servers) that drive measurable return on investment. Architect and code the connective tissue between Google's AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters. Build high performance evaluation pipelines and observability frameworks to ensure agentic systems meet rigorous requirements for accuracy, safety, and latency. Identify repeatable field patterns and technical friction points in Google's AI stack, converting them into reusable modules or product feature requests for engineering teams. Drive engineering excellence by mentoring talent, co building with customer teams, and influencing cross functional strategies to uplevel organizational technical capabilities. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents to be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire. Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

The Opportunity This is your chance to build the foundational systems for 'Citi Assist', a Generative AI assistant that will reach every Citi employee globally. You'll join us on the ground floor, becoming a core builder on a high-visibility platform that sets the standard for how a global bank adopts this technology safely and at scale. As a polyglot engineer, you'll work across the full stack. That means crafting intuitive user interfaces one day and building robust backend APIs the next. You'll be equally excited about both. What You'll Do Build and deliver across the stack. This is a hands-on role where you'll write high-quality, tested code and move features from idea to production. Sometimes that's a user-facing component. Sometimes it's a backend API. Often it's both. Own your features end to end. You'll take responsibility from the UI to the database. That means figuring out the path forward, asking the right questions, and driving your work to completion with support from the team. Build with security in mind. For us, building safe, sound, and compliant systems is non-negotiable and part of our craft. You'll implement security best practices in everything you build, including navigating the emerging challenges of AI safety. Be a great teammate. We expect you to be an active participant in our engineering culture. That means offering and receiving constructive code reviews, helping your peers when they're blocked, and sharing what you learn. We succeed as a team. Communicate proactively. We value open communication about progress and blockers. This helps us support each other effectively and keeps the whole team aligned. No one should have to chase you for updates. What We're Looking For We know that people from underrepresented groups are less likely to apply if they don't meet 100% of the criteria. If you're excited about this role but your experience doesn't align perfectly with every qualification, we encourage you to apply anyway. You may be just the right candidate for this or other roles. You should have Experience building and deploying production applications, whether that's frontend, backend, or both Proficiency in at least two of these languages: Python, TypeScript/JavaScript, Go, or Java Experience building user-facing features with modern frontend frameworks like React, Vue, or Angular Experience building backend services and APIs that are reliable and maintainable Comfort with containerised environments (we use OpenShift, but Kubernetes or Docker experience transfers well) Practical experience with CI/CD pipelines and a belief in automating things Solid experience working with relational databases like Postgres or MySQL What matters most to us A solutions-first mindset. You find the best path to solve the problem, whether that's writing new code, improving an old system, or integrating the right tool. The outcome is what matters. A bias for action and a focus on shipping. You understand our goal is to deliver value to users, not just to write perfect code. You know when to be pragmatic and when to invest in technical excellence. Clear communication and collaboration. You're proactive about sharing your progress and asking for help when you need it. You understand that keeping the team aligned helps everyone succeed. A collaborative spirit. You find satisfaction in building high-quality software and you thrive in a team environment where you can learn from and help your peers. A security-conscious approach. You see security and safety as part of the job, not an afterthought. Bonus points for Direct experience with Generative AI concepts, LLMs, or related personal or professional projects Contributions to open-source projects or a portfolio that demonstrates your range Experience working in highly regulated environments Our Tech Stack We work with Python, TypeScript, Go, and Java on the backend. Our frontend is built with TypeScript, React, and Next.js. We use Postgres for our database, run everything on Kubernetes (specifically Red Hat OpenShift), and our DevOps setup includes GitHub and CI/CD tools like Tekton and Harness. Our Team and Mission We're the Common Platform Engineering team for GenAI, a central group in the Chief Technology Office. We're a focused agile team that owns our work from idea to production. Our culture is built on a shared belief in engineering craftsmanship, backed by leadership that actually understands what that means. We're on a journey to prove what's possible inside a large organisation, and that means navigating some legacy while building the future. This isn't a role for someone who wants everything to be perfect on day one. It's for an engineer who wants to be part of the team that gets us there. We have a dual mission. First, we're building 'Citi Assist', the GenAI digital assistant for our colleagues. Second, we're providing the platforms and guidance that enable the entire organisation to adopt GenAI safely and effectively. This is not a typical banking job. We'll build foundational technology together that has a direct, positive impact on hundreds of thousands of people. We'll tackle big problems as a team, with executive support behind us. We'll shape our solutions collaboratively, learning from each other along the way. You'll have real autonomy in your work, but you'll never be on your own. What we'll provide you This is a unique role that will put you in the position to be part of a new venture and actively drive change. Every day there will be new challenges that will help you develop new skills that can drive your career. By joining Citi London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: 27 days annual leave (plus bank holidays) A discretionary annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Visit our Global Benefits page to learn more. Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive. Job Family Group Technology Job Family Applications Development Time Type Full time Most Relevant Skills Please see the requirements listed above. Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity, review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.

Location London Employment Type Full time Location Type On-site Department Engineering TL;DR: We're looking for a full-stack engineer obsessed with Lovable's growth engine - turning first touches into daily habits, and daily habits into a thriving ecosystem and real revenue. One sprint you're shipping onboarding and activation flows; the next you're crafting distribution rails and monetization features that help builders reach more users and keep them around. You think in React and APIs, but your first instinct is always: does this make users more successful, more often? Coding skills + excellent taste + growth instincts + product obsession = you. What we're looking for 5+ years of experience building and growing user-facing products in high-performing teams, ideally including growth work, marketplaces/platforms, or communities. Strong product sense and UX taste for multi-sided systems with creators, learners, and customers - you can see problems from multiple sides and design for all of them. Comfortable using data, funnels, analytics, attribution, and A/B testing to shape what you build and how you iterate. Skilled at designing, measuring, and iterating experiments, and thorough in setting up growth systems "right" from the start. Experience collaborating across functions (design, marketing, partnerships, support, data) to launch and grow new product surfaces and ecosystems. Enjoys designing reusable growth, ecosystem, and monetization tools that other builders can plug into, with a pragmatic and detail-oriented mindset. Motivated by helping others succeed and by seeing impact through engagement, measurable results, and revenue - you care about the scoreboard as much as the code. What you'll do In one sentence: You will build the growth, ecosystem, and monetization systems that make Lovable - and the apps built on it - sticky, discoverable, and revenue-generating. Ship and iterate activation, monetization and retention experiences that create fast, repeatable value and turn first-time users into long-term fans. Build distribution rails for user apps: SEO and performance, shareable moments, social previews, email and lifecycle journeys, and other growth hooks. Ship marketplace and ecosystem features for publishing, discovering, and reusing apps, templates, components, and services - plus profiles, reviews, and matching between builders and customers. Design and implement monetization and pricing flows: payments, subscriptions, access control, plans, paywalls, billing integration, and revenue-share models that work for creators, customers, and Lovable. Build the analytics and experimentation foundations - events, funnels, attribution, and A/B tests - so the team can understand what works and double down on it. Collaborate closely with design, marketing, partnerships, and support to launch and grow new surfaces across the product and ecosystem. Keep the experience relentlessly Lovable while making growth the engine, not the afterthought. Our tech stack Frontend: React Backend: Golang and Rust Cloud: Cloudflare, GCP, AWS, Many LLM providers DevOps & Tooling: Github Actions, Grafana, OTEL, infra-as-code (Terraform) We treat all candidates equally.

The Opportunity This is your chance to build the foundational systems for 'Citi Assist', a Generative AI assistant that will reach every Citi employee globally. You'll join us on the ground floor, becoming a core builder on a high-visibility platform that sets the standard for how a global bank adopts this technology safely and at scale. As a polyglot engineer, you'll work across the full stack. That means crafting intuitive user interfaces one day and building robust backend APIs the next. You'll be equally excited about both. What You'll Do Build and deliver across the stack. This is a hands-on role where you'll write high-quality, tested code and move features from idea to production. Sometimes that's a user-facing component. Sometimes it's a backend API. Often it's both. Own your features end to end. You'll take responsibility from the UI to the database. That means figuring out the path forward, asking the right questions, and driving your work to completion with support from the team. Build with security in mind. For us, building safe, sound, and compliant systems is non-negotiable and part of our craft. You'll implement security best practices in everything you build, including navigating the emerging challenges of AI safety. Be a great teammate. We expect you to be an active participant in our engineering culture. That means offering and receiving constructive code reviews, helping your peers when they're blocked, and sharing what you learn. We succeed as a team. Communicate proactively. We value open communication about progress and blockers. This helps us support each other effectively and keeps the whole team aligned. No one should have to chase you for updates. What We're Looking For We know that people from underrepresented groups are less likely to apply if they don't meet 100% of the criteria. If you're excited about this role but your experience doesn't align perfectly with every qualification, we encourage you to apply anyway. You may be just the right candidate for this or other roles. You should have Experience building and deploying production applications, whether that's frontend, backend, or both Proficiency in at least two of these languages: Python, TypeScript/JavaScript, Go, or Java Experience building user-facing features with modern frontend frameworks like React, Vue, or Angular Experience building backend services and APIs that are reliable and maintainable Comfort with containerised environments (we use OpenShift, but Kubernetes or Docker experience transfers well) Practical experience with CI/CD pipelines and a belief in automating things Solid experience working with relational databases like Postgres or MySQL What matters most to us A solutions-first mindset. You find the best path to solve the problem, whether that's writing new code, improving an old system, or integrating the right tool. The outcome is what matters. A bias for action and a focus on shipping. You understand our goal is to deliver value to users, not just to write perfect code. You know when to be pragmatic and when to invest in technical excellence. Clear communication and collaboration. You're proactive about sharing your progress and asking for help when you need it. You understand that keeping the team aligned helps everyone succeed. A collaborative spirit. You find satisfaction in building high-quality software and you thrive in a team environment where you can learn from and help your peers. A security-conscious approach. You see security and safety as part of the job, not an afterthought. Bonus points for Direct experience with Generative AI concepts, LLMs, or related personal or professional projects Contributions to open-source projects or a portfolio that demonstrates your range Experience working in highly regulated environments Our Tech Stack We work with Python, TypeScript, Go, and Java on the backend. Our frontend is built with TypeScript, React, and Next.js. We use Postgres for our database, run everything on Kubernetes (specifically Red Hat OpenShift), and our DevOps setup includes GitHub and CI/CD tools like Tekton and Harness. Our Team and Mission We're the Common Platform Engineering team for GenAI, a central group in the Chief Technology Office. We're a focused agile team that owns our work from idea to production. Our culture is built on a shared belief in engineering craftsmanship, backed by leadership that actually understands what that means. We're on a journey to prove what's possible inside a large organisation, and that means navigating some legacy while building the future. This isn't a role for someone who wants everything to be perfect on day one. It's for an engineer who wants to be part of the team that gets us there. We have a dual mission. First, we're building 'Citi Assist', the GenAI digital assistant for our colleagues. Second, we're providing the platforms and guidance that enable the entire organisation to adopt GenAI safely and effectively. This is not a typical banking job. We'll build foundational technology together that has a direct, positive impact on hundreds of thousands of people. We'll tackle big problems as a team, with executive support behind us. We'll shape our solutions collaboratively, learning from each other along the way. You'll have real autonomy in your work, but you'll never be on your own. What we'll provide you This is a unique role that will put you in the position to be part of a new venture and actively drive change. Every day there will be new challenges that will help you develop new skills that can drive your career. By joining Citi London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: 27 days annual leave (plus bank holidays) A discretionary annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Visit our Global Benefits page to learn more. Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive. Job Family Group Technology Job Family Applications Development Time Type Full time Most Relevant Skills Please see the requirements listed above. Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity, review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.

corporate_fare Google place London, UK Apply Bachelor's degree in Engineering, Computer Science, a related field, or equivalent practical experience. 10 years of experience building and shipping production-grade AI-driven solutions to external or internal customers using Python, TypeScript, or comparable language. Experience leading technical discovery sessions with business stakeholders and engineering teams to define AI and hardware infrastructure requirements. Experience architecting scalable AI systems on cloud platforms such as Google Cloud Platform (GCP). Experience building pipelines for structured and unstructured data, incorporating vector databases and Retrieval-Augmented Generation (RAG)-like architectures to power enterprise-grade AI solutions. Preferred qualifications: Master's degree or PhD in AI, Computer Science, or a related technical field. Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, or Google's ADK) and patterns like ReAct, self-reflection, and hierarchical delegation. Knowledge of LLM-native metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing. About the job As a Senior Staff Forward Deployed Engineer at Google Cloud, you will be an embedded builder bridging the gap between frontier AI products and production-grade reality for our customers. You will function as a builder-consultant, moving beyond high-level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customer's environment. In this role, you will manage blockers to production including solving the integration complexities, data readiness issues, and state-management issues that prevent AI from reaching enterprise-grade maturity. By embedding with accounts, you will serve a dual purpose: providing white-glove deployment of AI systems and acting as a critical feedback loop, transforming real-world field insights into Google Cloud's future product roadmap. It's an exciting time to join Google Cloud's Go-To-Market team, leading the AI revolution for businesses worldwide. You'll excel by leveraging Google's brand credibility-a legacy built on inventing foundational technologies and proven at scale. We'll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We're a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era-the market is yours. Responsibilities Serve as the lead developer for AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, MCP servers) that drive measurable return on investment. Architect and code the connections between Google's AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters. Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet rigorous requirements for accuracy, safety, and latency. Identify repeatable field patterns and technical friction points in Google's AI stack, converting them into reusable modules or product feature requests for engineering teams. Drive engineering excellence by mentoring talent, co-building with customer teams, and influencing cross-functional strategies to uplevel organizational technical capabilities. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.