The Consulting Solutions

The Consulting Solutions is seeking a product-minded engineer for AI deployment, working closely with strategic startups. This hybrid role based in London combines software engineering with strong product judgment to improve OpenAI's technology deployment. Responsibilities include direct engagement with customers, prototyping, and synthesizing feedback for product improvements. Ideal candidates have strong AI fundamentals and experience in startup environments.

What you'll do You'll support the overall success of Stripe's Global Alliance with Accenture and other key GSIs in EMEA, driving joint GTM (Go-to-Market) and co-sell. You'll work alongside the Accenture Global Partner Development Manager (PDM) and other GSI PDMs to drive net new demand for the partnership in the field across key markets in EMEA. This position is focused on deepening our joint sales motion, joint solutions, and delivery capabilities. This position is fast paced, highly visible, and aligned to quarterly metrics. As a Partner Development Manager, you'll hold a holistic view of the business, generated by and engaged with Accenture and other partners in EMEA, and work across the Stripe Sales segments to enhance and grow partner related Stripe revenue. You'll work cross-functionally with Partner Sales Managers, Partner Development Leadership, and Stripe AEs. You'll demonstrate an understanding of the Stripe Partner Ecosystem and the Stripe sales organization, and recognize high-impact opportunities, solutions, support deals for successful engagement with partners, and maintain high business hygiene. You'll drive towards end customer value that results in business growth to both Accenture (and other GSIs) and Stripe by being partner centric in all activities, serving as a leader and advocate for them within Stripe, and accurately representing Stripe within the partner's organization. Responsibilities Partner with the Global Accenture PDM and other GSI PDMs on building strategy, joint solution development, partner enablement, pipeline development, and deal closure in the EMEA region Work closely with Accenture and other GSI counterparts to enable Stripe and partner sales teams on the unique joint value prop, lead account mapping workshops, blitz days, and co create opportunities together Orchestrate and partner with cross functional resources to support Stripe partner co sell and GTM activities and create and maintain a long term, scalable joint GTM model that drives partner and user success Support key deal execution with partners, both pre sales and post sales (working with Stripe PSMs, PSEs, SAs, and AEs) Support weekly pipeline reviews to ensure pipeline information is thorough and accurate Broker internal resources, tools, references, and investments needed to achieve quarterly goals Minimum requirements 10+ years of technology GTM experience Strategy, sales, and development experience, working alongside consulting partners or ISVs Process oriented mindset with desire to solve individual challenges while building for scale in mind Excellent communication and presentation skills, with the ability to speak to different functional leadership both internally and externally Ability to both lead and be a team player on cross functional teams that include technical, sales, product, and support resources from Stripe and the partner. Creative in terms of leveraging resources to drive outsized impact Willingness to travel and be present with partners and sellers in front of our users and prospects Ability to build and execute territory and opportunity specific plans, in partnership with the Global PDM and other cross functional resources Excellent ongoing operational hygiene, accurately representing sales and partner activities in Salesforce Preferred qualifications Accenture direct or indirect GTM experience Experience driving GTM with GSIs such as PwC, Cognizant, Infosys, and Deloitte Exposure to payments, commerce, and Q2C landscape, and understanding of how the Stripe stack can differentiate and complement ISV solutions in different integration models Experience building successful joint GTM solutions with partners

The Consulting Solutions is hiring software engineers in Greater London to enhance infrastructure supporting critical AI systems. In this role, you will ensure reliability and security of systems enabling rapid iteration, benefiting users worldwide. Ideal candidates have over 4 years experience, expertise in distributed systems, and proficiency with tools like Kubernetes and Terraform. Join a collaborative environment emphasizing safety, reliability, and performance.

About the team The AI Deployment Engineering team ensures the safe and effective deployment of Generative AI applications for developers and enterprises. We act as trusted advisors and technical partners to our customers, helping them build and execute their AI adoption strategy post sale. Our mission is to develop a strong backlog of GenAI use cases tailored to each customer's industry and to drive these initiatives from prototype to production through hands on technical guidance and partnership. About the role We are looking for a solutions oriented technical leader to engage with customers post sale and ensure they realise tangible business value from their investment in OpenAI's technologies. You will work closely with senior leaders and technical teams within customer organisations to establish GenAI roadmaps, strategies, prioritise high value use cases, and guide projects from early prototyping through enterprise grade production deployments. You will take a holistic view of each customer's architecture and operations, designing solutions that leverage ChatGPT, OpenAI APIs, and our broader ecosystem of tools and services. You will work cross functionally with Sales, Solutions Engineering, Applied Research, and Product teams, and report to the Head of Solutions Architecture for your segment. We offer relocation assistance and a hybrid work model of three days per week in the office. Responsibilities Serve as the primary technical subject matter expert post sale for a portfolio of customers, embedding deeply with them to design and deploy GenAI solutions. Engage with senior business and technical stakeholders to identify, prioritise, and validate the highest value GenAI applications in their roadmap. Accelerate customer time to value by providing architectural guidance, building hands on prototypes, and advising on best practices for scaling solutions in production. Maintain strong relationships with leadership and technical teams to drive adoption, expansion, and successful outcomes. Contribute to open source resources and enterprise facing technical documentation to scale best practices across customers. Share learnings and collaborate with internal teams to inform product development and improve customer outcomes. Codify knowledge and operationalise technical success practices to help the Solutions Architecture team scale impact across industries and customer types. Qualifications You'll thrive in this role if you: Have 5+ years of technical consulting, post sales engineering, solutions architecture, or similar experience working directly with customers. Are a strong communicator, able to explain technical and business concepts clearly to executive and practitioner audiences alike. Have experience leading complex deployments of Generative AI or traditional machine learning systems, ideally including infrastructure and network architecture considerations. Possess hands on proficiency in languages like Python, JavaScript, or similar, and are comfortable building prototypes or proofs of concept. Take end to end ownership of challenges, proactively acquiring new skills or knowledge as needed to drive success. Bring a humble, collaborative mindset and an eagerness to support teammates and customers alike. Thrive in fast paced environments, adeptly managing multiple workstreams and prioritising for the highest customer impact. Equal Opportunity Statement OpenAI is an equal opportunity employer, and we do not discriminate on the basis of race, religion, colour, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

The Consulting Solutions is seeking Forward Deployed Engineers to directly integrate with customer engineering teams to enhance software development processes. In this role, you will identify bottlenecks, design solutions, and take ownership of the entire workflow from discovery to post-production support. The ideal candidate thrives in uncertain situations, has experience building AI-native systems in real-world applications, and is proficient in Python and TypeScript/JavaScript. Join a passionate team focused on transformative coding solutions.

The Consulting Solutions is looking for a Principal Software Engineer for their Elasticsearch - Search Scaling team in Greater London. You will lead the evolution of search capabilities and improve search infrastructure. The ideal candidate has a strong background in technical leadership within distributed systems and extensive experience with Elasticsearch and Java. The position offers a competitive salary, health coverage, and flexible work arrangements.

The Consulting Solutions is seeking a Staff Engineer to develop and scale foundational infrastructure for content understanding at Spotify. This role combines backend systems with machine learning, requiring strong programming skills in Java, Python, or Scala. The ideal candidate will have extensive experience with large-scale systems, drive architectural decisions, and mentor other engineers. Flexibility to work from London or Stockholm is offered, with occasional in-person meetings.

About the Team We're hiring software engineers to join our broader Infrastructure organization, which supports multiple high-impact teams. Depending on your interests and experience, you could work on one of several focus areas-including Core Distributed Systems, Databases, Observability, or Cloud Infrastructure. All teams operate with a high degree of autonomy and are deeply collaborative, with a shared mandate to raise the bar on safety, reliability, and velocity across OpenAI. About the Role You'll be at the heart of scaling and hardening the infrastructure that powers some of the most widely used AI systems in the world. You'll help ensure our systems are highly reliable, observable, performant, and secure-so researchers can iterate quickly, and products like ChatGPT and the OpenAI API can serve millions of users safely and effectively. This is a hands on, high leverage role for engineers who thrive on ownership, love solving deep technical problems across the stack, and want to work on systems that support cutting edge research and deploy at global scale. You'll play a key part in shaping technical direction, proactively improving system resilience, and collaborating closely with infra, product, and research teams to turn complex infrastructure into reliable platforms. Responsibilities Design, build, and operate reliable and performant systems used across engineering. Identify and fix performance bottlenecks and inefficiencies, ensuring our infrastructure can scale to the next order of magnitude. Dig deep to resolve complex issues. Continuously improve automation to reduce manual work; improve internal tooling and our developer experience. Contribute to incident response, postmortems, and the development of best practices around system reliability and scalability. Who you might thrive in this role if you Have a deep understanding of distributed systems principles and a proven track record in building and operating scalable and reliable systems. Have a keen eye for performance and optimization. You know how to squeeze the most performance out of complex, globally distributed systems. Have experience operating orchestration systems such as Kubernetes at scale and building abstractions over cloud platforms. Are comfortable working in Linux environments, and with tools like Kubernetes, Terraform, CI/CD pipelines, and modern observability stacks. Are experienced in collaborating with cross functional teams to ensure that reliability and scalability are considered in the design and development of new features and services. Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed. Own problems end to end and are willing to pick up whatever knowledge you're missing to get the job done. Are comfortable with ambiguity and rapid change. Qualifications 4+ years of relevant industry experience, with 2+ years leading large scale, complex projects or teams as an engineer or tech lead. A passion for distributed systems at scale with a focus on reliability, scalability, security, and continuous improvement. Proven experience as a reliability engineer, production engineer, or a similar role in a fast paced, rapidly scaling company. Strong proficiency in cloud infrastructure (like AWS, GCP, Azure) and IaC tools such as Terraform. Proficiency in programming/scripting languages. Experience with containerization technologies and container orchestration platforms like Kubernetes. Experience with observability tools such as Datadog, Prometheus, Grafana, Splunk and ELK stack. Experience with microservices architecture and service mesh technologies. Knowledge of security best practices in cloud environments. Strong understanding of distributed systems, networking, and database technologies. Excellent problem solving skills and ability to work in a fast paced environment. Equal Opportunity Employer OpenAI is an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

The Consulting Solutions is hiring a Solution Architect in Greater London to help engineering organizations implement AI-native software development. You will work closely with engineering teams to ensure successful adoption and integration of workflows, delivering tangible outcomes during the transformation journey. This highly technical role requires a combination of strong problem-solving abilities and the skill to collaborate effectively with both technical teams and leadership. Candidates should have a solid background in software engineering and a passion for developer tools.

The Consulting Solutions is hiring a Data Scientist, Safety, to analyze and solve complex problems related to harmful behaviors in AI systems. You will work with teams to measure product safety and build analytical systems. Your role includes responsibilities like detecting fraud and evaluating safety classifiers. Strong skills in SQL and Python are essential. This is an opportunity to have global impact while working on mission-critical safety challenges.

The Consulting Solutions in Greater London is looking for a skilled ML Engineer to design, build, and deploy machine learning systems that ensure content safety and policy enforcement. In this role, you will lead technical projects, collaborate closely with Trust & Safety, Legal, and Public Affairs, and develop robust evaluation frameworks. Applicants should have a solid background in building production ML systems, experience with models like PyTorch, and a passion for user-centric design. Flexibility for remote work is offered, alongside in-person meetings.

Security engineers at Spotify help protect the security of our platform and the experience of more than 700 million users around the world. We are looking for an experienced engineer to join us in securing some of Spotify's most important engineering initiatives. You will work across product and infrastructure security, partnering with autonomous development and platform teams to build secure systems at scale. We are a distributed team that combines deep security expertise with practical tooling and guidance, helping engineers move quickly while continuously strengthening Spotify's security posture. We value curiosity, collaboration, and a willingness to both teach and learn from others. You bring experience in security, software, or systems engineering and enjoy solving complex technical challenges. In this role, you'll represent security across a variety of engineering and business contexts, so you're comfortable communicating with diverse audiences and translating security concepts into practical outcomes. What You'll Do Champion and contribute to the development and implementation of security best practices, standards, and automated tooling for secure development and deployment across Spotify's infrastructure and platforms, including AI driven development. Partner closely with teams across the company to integrate security throughout the software development lifecycle, from ideation and design through deployment and monitoring. Consult, educate, and advocate for practical security approaches with groups of varying sizes, disciplines, and experience levels. Drive cross disciplinary initiatives that improve the security of Spotify's engineering ecosystem and the products we build. Conduct threat modeling, security reviews, and risk assessments across Spotify's diverse range of generative AI and non AI systems and platforms. Evaluate, prototype, and integrate security solutions and tools that improve security outcomes and developer experience at scale. Stay current with the rapidly evolving landscape of AI security threats, academic research, vulnerabilities, and mitigation strategies relevant to Spotify's scale and domain. Contribute to security incident response activities involving Spotify platforms and systems, helping strengthen our detection, response, and remediation capabilities. Who You Are You have 3+ years of hands on experience in security engineering or a related technical field. You are comfortable writing code to integrate security tools and automate workflows using modern software development practices. You have expertise in one or more domains such as backend development, AI/ML systems, distributed computing, CI/CD platforms, cloud infrastructure, or developer platforms. You have a strong foundation in security concepts including cryptography, threat modeling, secure design, and software security. You are comfortable working with diverse stakeholders and communicating security concepts to both technical and non technical audiences. You have experience working in agile environments and can adapt quickly to changing priorities and evolving challenges. You can read and write code in one or more languages such as Java, Python, Scala, C++, or TypeScript. You have experience applying generative AI tools to security and software engineering challenges. You have a strong understanding of common security risks, attack vectors, and vulnerabilities relevant to AI and machine learning systems, and how to mitigate them. You have experience integrating security tooling into large scale production environments. You are familiar with modern agentic AI frameworks and emerging AI development patterns. You care about building secure systems while enabling engineers to move quickly and confidently. Where You'll Be This role is based in London, United Kingdom or Stockholm, Sweden. We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home. Equal Opportunity & Accessibility Spotify is an equal opportunity employer. We welcome you at Spotify for who you are, no matter where you come from, what you look like, or what's playing in your headphones. We are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. If you need accommodations at any stage of the application or interview process, please let us know - we're here to support you in any way we can.

About the team The AI Deployment Engineering team is responsible for ensuring the safe and effective deployment of OpenAI technologies across developers and enterprises. We act as trusted technical partners, helping customers move from experimentation to production by designing, implementing, and scaling real-world AI applications. The Codex Deployment Engineering team focuses on enabling organizations to adopt next-generation AI coding tools and intelligent automations throughout their software development lifecycle. We partner directly with engineering teams to integrate Codex into their workflows-from early experimentation and pilot design through enterprise-scale production rollout-ensuring AI enhanced developer experiences are reliable, secure, and deeply embedded within customer environments. About the role We are seeking an experienced technical leader to manage a team of AI Deployment Engineers responsible for driving successful Codex adoption across strategic customers. In this role, you will lead engineers who work hands on with customer development teams to design AI enabled workflows, deploy production ready solutions, and establish scalable patterns for AI powered software development. This role is open in both our London and Munich office. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Lead, hire, and mentor a high performing team of AI Deployment Engineers supporting Codex customers across strategic accounts. Own the operating model and engagement strategy for Codex deployment efforts, ensuring customers successfully move from pilot to production adoption. Guide teams in designing and implementing AI enhanced development workflows, automations, and scalable deployment architectures. Act as the senior technical escalation point for complex customer implementations and deployment challenges. Partner with Sales, Product, Research, and Applied Engineering teams to align customer outcomes with product direction and roadmap priorities. Help establish repeatable deployment playbooks, technical patterns, and best practices that enable scaled adoption of AI coding tools. Coach engineers to operate as trusted advisors to engineering leadership and executive stakeholders. Synthesize insights from customer deployments and translate them into actionable feedback for internal teams. Champion safe, reliable, and effective adoption of AI powered development workflows across industries. You might thrive in this role if you: Have 8+ years of experience in technical customer facing roles such as deployment engineering, solutions architecture, technical consulting, or post sales engineering. Have 2+ years of experience leading technical teams, including hiring, mentoring, and developing engineers. Have experience deploying Generative AI, developer platforms, or cloud based software solutions into production environments. Possess hands on technical experience with software development systems and programming languages such as Python or JavaScript. Understand modern software development lifecycles and how AI tooling transforms developer productivity and workflows. Are an effective communicator who can translate complex technical and business topics to both engineering teams and executive stakeholders. Thrive in ambiguous, fast moving environments and enjoy building new operating models and teams from first principles. Demonstrate strong ownership, humility, and a commitment to helping both customers and teammates succeed. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. OpenAI is an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. OpenAI's affirmative action and equal employment opportunity policy statement. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non public information.

We design Spotify's consumer experience-end to end, moment to moment, across every screen, platform, and partner integration. Our mission is to make listening feel effortless, personal, and joyful for billions of users around the world. That means turning complexity into clarity across hundreds of touchpoints-from our mobile and desktop apps to the smart speakers, TVs, cars, and integrations where Spotify shows up every day. If it touches a consumer, we shape it. We bring deep insight into human behavior, design, and technology to craft experiences that feel intuitive, expressive, and unmistakably Spotify. The Policy & Safety team sits within Content Platform in the Experience Mission, building the systems that keep Spotify safe, compliant, and trusted by millions of users and creators. This team owns Spotify's content moderation infrastructure - from detection models to policy enforcement systems and compliance data pipelines. Working at the intersection of machine learning, platform engineering, and regulatory compliance, the team partners closely with Trust & Safety, Legal, and Public Affairs. They're on the critical path for every new content type and social feature - including messaging, comments, and collaborative experiences - ensuring safety is built in from day one. With a strong focus on "safety by default," the team is investing in large-scale rearchitecture and ML-driven systems to proactively protect users and empower safer interactions across the platform. What You'll Do Design, build, and ship production-grade machine learning systems that power content safety and policy enforcement at Spotify scale Own and lead key technical initiatives across detection, classification, and policy evaluation systems Develop and maintain ML models for content moderation, including multimodal and LLM-based systems Build robust evaluation frameworks, including standardized datasets, offline and online metrics, and continuous improvement loops Drive experimentation to improve model performance, reliability, and fairness in safety-critical systems Collaborate closely with cross-functional partners in Trust & Safety, Legal, and Public Affairs to align on policy and enforcement needs Provide technical leadership within the team, mentoring engineers and contributing to ML strategy and prioritization Represent technical decisions and trade-offs in stakeholder discussions and influence product direction Who You Are You have solid experience building and deploying machine learning systems in production environments at scale You are experienced with training, evaluating, and maintaining ML models using modern frameworks such as PyTorch You have a deep understanding of machine learning evaluation, including dataset design, metrics, and continuous improvement systems You know how to design systems that balance performance, reliability, and real-world impact in high-stakes domains You care about building safe, responsible, and user-centric ML systems You are comfortable working across disciplines, partnering with legal, policy, and product stakeholders You have experience leading technical projects and influencing direction within a team or product area You have experience with distributed systems or backend technologies (e.g., Scala) Where You'll Be This role is based in London or Stockholm. We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.

Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truth-seeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code. About the role Forward Deployed Engineers embed directly with customer engineering teams to ship production-grade Cursor workflows that measurably improve how they build software. You'll figure out what's actually slowing a team down, design a practical solution, and own it end-to-end, from first discovery call through launch, iteration, and post-production support. This is not a demo role. You are responsible for systems that work in the real world. What you'll do Lead discovery with customer engineers to identify the real bottleneck and define clear success metrics Design and build Cursor-powered workflows (e.g., large-scale refactors, migrations, PR review loops, incident to fix pipelines, spec to implementation systems) Ship a fast first version in days, then harden it into something reliable over weeks with proper rollout plans, monitoring, and iteration based on real usage Own production quality: tracing, evals, metrics, debugging model behavior, latency/cost tradeoffs, and failure modes Work directly with Staff+/Platform/Eng leaders - going deep in code while also communicating clearly about tradeoffs and results Turn what you build into reusable patterns and push improvements back into the core Cursor product You may be a fit if You thrive in ambiguity and can turn fuzzy problems into clear scopes and shipped systems. You've built and owned AI-native workflows in production, not just prototypes, and have debugged real-world model failures. You're comfortable leading discovery conversations and being accountable for customer outcomes. You build end-to-end. If it needs frontend, backend, infra, or prompt iteration, you'll own it. You've handled production reliability before (metrics, alerts, safe rollouts, incident response). You're strong in Python and TypeScript/JavaScript and can ramp quickly on new stacks.

Stripe is a financial infrastructure platform that enables businesses to accept payments, grow revenue, and accelerate new opportunities. The Solutions Architecture Team partners with users to realize their full potential, influencing revenue growth across Stripe's product portfolio and collaborating with sales, support, product management, and executives to deliver the best customer experience. What you'll do As a Solutions Architect, you will build highly consultative relationships with C-level executives and technical decision-makers, providing business and technical thought leadership and serving as a trusted advisor to solve mission-critical challenges. You will architect business models that drive new monetization opportunities and growth for both the user and Stripe. Responsibilities Serve as a key member of the Platform account team, deeply involved in defining the customer strategy, identifying and closing new complex opportunities, and accelerating solution adoption. Understand and align with the customer's product and business roadmap to uncover opportunities for Stripe to accelerate their progress. Provide thought leadership and trusted advisory to key stakeholders such as CIO, CTO, COO, CRO, CDO, Head of Product Engineering, and Head of Payments. Design and apply Stripe's solutions to customers' business objectives. Conduct business analysis and background research on customers, industries, and competitors to support growth. Expand Stripe's footprint within existing accounts to new global markets and business units by introducing new capabilities and local payment methods. Travel approximately 25% of the time to engage with customers in person. Who you are You are an experienced enterprise architect, senior solution architect, or principal solution engineer with a track record advising enterprise-grade digital-native SaaS, platform, or marketplace companies. You possess deep technical acumen, strong interpersonal and leadership skills, and the ability to become a trusted advisor to senior executives, fostering customer success throughout the journey. You are a strategic, creative thinker who proactively identifies challenges, takes ownership, and maintains a positive approach when facing obstacles. Minimum requirements 7+ years of experience in a similar customer-facing engineering role (solution consultant, solutions architect, sales engineer) for a global software enterprise. Experience in the payments, billing, invoicing, issuing, banking, or fintech space. Executive engagement skills and presence, with the ability to establish strong relationships with key decision makers. Effective group facilitation skills and confidence in leading customer meetings to gain strategic footing. Thorough understanding of the software development lifecycle and API architectures. Background in writing code in Stripe's primary deployment languages (Ruby, Python, JavaScript, Java, Go, etc.) is a plus. Superior verbal and written communication skills in English. Preferred qualifications Prior experience in consulting. Experience at a growth-stage internet or software company.

About the Role We're hiring Solution Architects to help the world's best engineering organizations figure out what AI-native software development actually looks like in production. This is a deeply technical, post-sale role embedded inside Cursor's most strategic enterprise accounts. You'll work directly with engineering teams to roll out high-impact workflows, accelerate adoption, and help organizations fundamentally rethink how software gets built with AI. Solution Architects sit at the center of long-term customer transformation. You'll help customers move from initial excitement to deeply integrating engineering workflows that teams rely on every day. That means understanding how modern software organizations operate, identifying where Cursor can create the most leverage, and helping customers scale adoption across teams, platforms, and workflows over time. This role is highly hands-on. You'll configure environments, design workflows, run enablement sessions, and solve technical problems directly with developers and platform teams inside complex enterprise environments. You'll also help engineering leaders think through rollout strategy, workflow evolution, and the long-term architecture for AI-native development. The best Solution Architects combine deep technical credibility with strong product instincts, high ownership, and the ability to influence how large engineering organizations evolve. Solution Architects are also equally comfortable debugging CI workflows, leading architecture reviews, and helping executives understand where AI changes the economics of software development. What You'll Do Help Engineering Teams Adopt AI-Native Development Roll out Cursor across strategic engineering organizations Configure environments, design workflows, and run hands-on enablement sessions Help developers integrate Cursor into real production workflows, not isolated demos Drive fast time-to-value and durable adoption across teams Identify workflow friction and solve problems quickly Expand Cursor Across the Organization Identify where Cursor should expand next inside the customer environment Help engineering organizations evolve from isolated usage to company-wide adoption Design rollout strategies for new workflows, teams, and platform groups Partner with customers to operationalize AI-assisted development at scale Work closely with Account Executives during major expansion moments Become a Trusted Technical Partner Build deep relationships with developers, platform teams, engineering leadership, and executive stakeholders Lead architecture reviews, technical working sessions, and strategic planning discussions Advise customers on developer productivity, workflow design, governance, and AI adoption strategy Coordinate across Sales, Product, Engineering, and Customer Success to unblock customer progress Help organizations navigate workflow and operational change as AI-native development evolves Drive Real Customer Outcomes Help customers translate adoption into measurable engineering impact Connect Cursor usage to outcomes like faster iteration cycles, improved developer productivity, workflow efficiency, and engineering quality Help customers communicate the value of Cursor internally and build momentum for broader adoption Turn successful deployments into repeatable workflow patterns across the organization Help Make Cursor Indispensable Deepen workflow adoption and long-term product stickiness Monitor competitive risk and help customers standardize on Cursor over time Support recovery plans when adoption slows or competing tools gain traction Help customers build workflows they can't imagine operating without Shape the Future of the Product Bring structured feedback from strategic customers into Product and Engineering Identify emerging workflow patterns, friction points, and enterprise requirements Help shape new capabilities through lighthouse customers and design partnerships Turn successful customer workflows into reusable playbooks and reference patterns You'll might be a fit if You have strong technical background in software engineering, infrastructure, DevOps, platform engineering, or developer tooling You have experience in customer-facing technical roles such as Solution Architect, Solutions Engineer, Forward Deployed Engineer, Technical Account Manager, Enterprise Architect, or similar You have the ability to work hands-on with engineering teams while also operating strategically with technical leadership You have a strong understanding of developer workflows, SDLC tooling, integrations, CI/CD systems, governance, and enterprise engineering environments You have excellent communication skills and the ability to explain complex technical concepts clearly across both technical and executive audiences You have strong instincts around workflow design, adoption strategy, and driving workflow change across engineering teams You have high ownership, strong execution skills, and comfort operating in fast-moving environments with ambiguity You have a passion for developer tooling and strong conviction around how AI will reshape software engineering

The Consulting Solutions is seeking a solutions-oriented technical leader based in Greater London who will engage with customers post-sale to ensure they realize business value from OpenAI's technologies. You will establish AI roadmaps and design solutions leveraging ChatGPT and OpenAI APIs. The role requires strong communication skills and experience in leading AI deployments, and offers relocation assistance as well as a hybrid work model. Candidates should have a minimum of 5 years in technical consulting and demonstrate proficiency in Python or JavaScript. They should be able to manage multiple workstreams, making a significant impact on customer success.

About the Team OpenAI's Safety teams work to ensure our products are safe, trusted, and resilient as frontier AI systems scale globally. We tackle challenges across preventing misuse and misalignment, intercepting fraud and abuse, and protecting vulnerable users. We are hiring Data Scientists across several safety teams: Safety Systems, Integrity, Product Policy. About the Role As a Data Scientist, Safety, you will solve complex and ambiguous problems where rigorous analysis directly informs critical decisions. Key Responsibilities Measure harmful or abusive behavior across OpenAI's products. Detect fraud, manipulation, and coordinated misuse. Evaluate and improve safety classifiers, rule systems, mitigation systems, and human review workflows. Design experiments and causal analyses to understand product, policy, and mitigation impacts. Build prevalence estimators, dashboards, monitoring systems, and executive decision frameworks. Diagnose gaps in safety and integrity systems using behavioral and product data, and help quantify and navigate false positive / false negative trade offs. Translate ambiguous safety risks into measurable problems and evidence based recommendations. Partner with Product, Engineering, Policy, Research, and Operations teams to improve safety outcomes. Build zero to one analytical systems in rapidly evolving domains. Ideal Candidate We're looking for strong Data Scientists who thrive in ambiguous, high leverage environments. The following experience and skills are desirable: Strong statistical reasoning and analytical judgment. Experience with experimentation, causal inference, or observational analysis. Strong SQL and Python skills. Experience working with messy, incomplete, or noisy datasets. Ability to structure open ended business or risk problems. Excellent communication with technical and non technical stakeholders. High ownership and comfort operating independently. Helpful backgrounds include Trust & Safety / Integrity, Fraud & Abuse, Security analytics, AI/ML model measurement and evaluation, Alignment and AI safety research, Biosecurity, synthetic biology, infectious diseases, or computational biology. Why This Role Work on mission critical problems with world level impact, shape how frontier AI systems are deployed safely, operate with unusual ownership and visibility, solve novel problems with no existing playbooks, and join highly collaborative teams across OpenAI. Equal Employment Opportunity Statement OpenAI is an equal opportunity employer and does not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. OpenAI's policies compliance with applicable laws requires background checks and reasonable accommodations for applicants with disabilities.

The Consulting Solutions is seeking a Solutions Architect in Greater London. This role involves building consultative relationships with C-level executives and providing strategic thought leadership to solve complex challenges. The ideal candidate will have over 7 years of experience advising enterprise-grade companies in the payments or fintech space, demonstrating strong technical and leadership skills. Applicants should be prepared for occasional travel to engage with customers.