Menlo Ventures

About the Role We are building a new engineering team focused on handling high priority customer needs and operational escalations while protecting the broader engineering organization from disruption. Customer Platform Engineering The Customer Platform Engineering (CPE) team addresses urgent investigations, customer blocking issues, executive requests, and rapid solution development that require immediate engineering attention. This team ensures that core engineering groups can remain focused on roadmap delivery while critical issues are resolved quickly and effectively. Members of this team act as experienced generalists who can move across systems, diagnose complex problems, and coordinate with multiple teams to deliver solutions under time pressure. Responsibilities Triage and resolve urgent customer escalations and production issues Investigate complex system behavior and diagnose cross service problems Develop rapid prototypes and proofs of concept to address customer needs Support pre sales engineering with technical validation and feasibility analysis Respond to high priority internal requests requiring rapid engineering response Coordinate with multiple engineering teams to unblock critical work Implement targeted fixes and document findings for long term product improvements Identify systemic issues and recommend structural improvements to core engineering teams Contribute to internal tooling, runbooks, and operational processes that improve response time and reliability Leverage modern AI engineering tools to accelerate investigation, debugging, and solution development Scope of Work Urgent investigations Customer blocking issues Cross team coordination Rapid solution development Qualifications 6+ years of software engineering experience Strong proficiency in GoLang and/or Python Strong troubleshooting and debugging skills across distributed systems Ability to quickly understand and work within unfamiliar codebases Experience working across multiple layers of the stack (backend, frontend, infrastructure, APIs, data systems) Strong communication skills and ability to coordinate across teams Comfortable working in high priority, time sensitive situations AI & Developer Productivity Proficiency using modern AI assisted development tools (e.g., Claude, Copilot, ChatGPT) to accelerate coding, debugging, and investigation Ability to effectively prompt, validate, and integrate AI generated solutions while maintaining strong engineering judgment Experience incorporating AI tooling into engineering workflows to improve speed and operational effectiveness Preferred Experience supporting enterprise SaaS products Experience with production incident response or escalation engineering Familiarity with cloud platforms and modern infrastructure (e.g., Kubernetes, AWS, GCP) Employee Benefits Competitive compensation with equity and 401k Comprehensive healthcare with dental and vision coverage Flexible paid time off and paid holiday time off 12 weeks of new parent or family leave Personal and professional development resources Equal Opportunity At Obsidian, we are proud to be an equal opportunity employer. We value diversity and hire for talent, passion, and compassion. In compliance with federal law, all persons hired will be required to submit satisfactory proof of identity and legal authorization. If you have a need that requires accommodation, please contact . Information collected and processed as part of any job applications you choose to submit is subject to Obsidian's Applicant Privacy Policy.

Menlo Ventures is looking for an experienced software engineer to join our new Customer Platform Engineering team. You will address urgent investigations, customer-blocking issues, and rapid solution development that require immediate engineering attention. The ideal candidate has over 6 years of experience with strong proficiency in GoLang and Python, and the ability to communicate effectively across teams. The role offers competitive compensation, comprehensive healthcare, and flexible paid time off.

JOB ID: FEQ327R451 Recruiter: Dina Hussain Location: London, UK Industry: Manufacturing, Defence and Automotive At Databricks, our core values are at the heart of everything we do. A culture of proactiveness and a customer centric mindset guides us in creating a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be a vital part of this mission, utilising your technical expertise to demonstrate how our Lakehouse Platform can help customers address their complex data challenges. You'll work with a collaborative, customer focused team who values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world! Reporting to the Manager, Field Engineering. The impact you will have Form successful relationships with clients throughout your assigned territory, providing technical and business value to Databricks customers in collaboration with Account Executives. Operate as an expert in big data analytics to excite customers about Databricks. You will develop into a 'champion' and trusted advisor on multiple issues of architecture, design, and implementation to lead to the successful adoption of the Databricks Data Intelligence Platform. Author reference architectures, how tos, and demo applications to scale best practices in your field and support customers. Lead workshops, seminars, and meet ups to help build the Databricks community in your region and scale best practices in your field. Grow your knowledge and expertise to the level of a technical and/or industry specialist. What we look for We are seeking a highly motivated and technically skilled individual to join our UK&I Enterprise Manufacturing, Defence and Automotive which focuses on supporting and growing customers in the UK&I. This role offers the opportunity to be based in the London Office, with regular collaboration across the UK&I region and close alignment with our London-based team. Core Technical Qualifications Hands on experience in technical pre sales or consultancy, with a strong background in Data Science - traditional Machine Learning, Deep Learning, Artificial Intelligence or Generative AI. Demonstrated ability to architect end to end Data & AI solutions, with specific expertise in modern Generative AI concepts (e.g., fine tuning, RAG, MLOps for LLMs), using either open source and/or ISV tools such as Dataiku, Domino, DataRobot etc. Strong proficiency in a core programming language (e.g., Python, SQL) and a willingness to learn (or existing knowledge of) Spark. Proficiency with big data analytics technologies and public cloud platforms (AWS, Azure, or GCP). Hands on expertise in designing and delivering complex proofs of concept (PoCs). Pre Sales & Customer Facing Skills Proven ability to engage with customers in a technical sales capacity: challenging assumptions, guiding discussions to clear outcomes, and communicating both technical and business value propositions. Experience in the full pre sales lifecycle, including use case discovery, solution scoping, and delivering complex solution architecture designs to diverse audiences (from engineers to executives). A customer centric mindset with a passion for building client relationships and internal partnerships with account teams. Seniority & Leadership Demonstrated experience in coaching and mentoring junior team members to help them develop their technical and customer facing skills. Logistics Ability to commute to the London office regularly. Willingness and ability to travel approximately % of the time across UK&I and EMEA for customer visits. Nice to Have Databricks or other relevant Cloud/Data certifications. Experience working within the Manufacturing, Defence or Automotive sectors. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio economic status, veteran status, and other protected characteristics. Compliance If access to export controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Databricks in London is seeking a technically skilled individual for a pre-sales role focused on the Manufacturing, Defence, and Automotive sectors. This role requires hands-on experience in Data Science and analytics, offering a chance to engage with clients and demonstrate the Databricks Data Intelligence Platform. The ideal candidate will have expertise in big data analytics and be comfortable building strong client relationships. Join us to transform how businesses interact with data.

REQ ID: FEQ327R463 Recruiter: Dina Hussain Location: London, United Kingdom Industry Sector: Energy, Resources and Utilities sectors As a Manager, Field Engineering (Data and AI), you will lead a team of pre sales Solutions Architects focusing on complex, strategic accounts, helping to lead our UK&I expansion with a specific focus on the Energy and Resources sector. Your experience partnering with sales organisations will help to drive accelerated adoption of the platform in customers, demonstrated by revenue growth, while coaching new sales and pre sales team members to work together. You will guide your team and be involved with opportunities to enhance your team's effectiveness. You must be an expert at communicating complex, business value focused solutions; supporting complex sales cycles; and building relationships with key stakeholders in large corporations. You will report to the Senior Director, Field Engineering. The impact you will have: Manage hiring, onboarding and building your Pre Sales Solutions Architect team Where required, rapidly scale the designated team without sacrificing quality Use AI natively yourself to drive efficiency and scale Build a collaborative culture within a rapid-growth team. To embody and promote Databricks' customer obsessed, teamwork and diverse culture Support an increase in consumption revenue through the investment of Solutions Architect involvement in sales cycles Promote a solution and value based selling field engineering organisation Display an understanding of business needs and revenue potential for accounts in the assigned region Build Databricks' brand in UK&I in partnership with the Marketing and Sales team Lead from the front by engaging directly with key customer stakeholders to ensure and speed up customer projects and technical implementation decisions Help Databricks continue to expand by winning hearts and minds as we evolve our processes to support our business and technical growth What we look for: AI native builder mentality - using AI to enhance your own productivity and that of your team is a non negotiable Experience in a pre sales leader role - developing, managing and building a team of successful Big Data, AI, or Cloud professionals. Experience in a customer facing role across the Energy, Resources and Utilities sectors in the UK and Ireland Experience in developing go to market (GTM) strategies Experience in complex strategic accounts Have experience scaling and mentoring field and technical teams Knowledgeable in and passionate about data driven decisions, AI, and Cloud software models Great at instituting processes for technical field members to improve efficiency Market experience of the UK&I region Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio economic status, veteran status, and other protected characteristics. Compliance If access to export controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Menlo Ventures in London is seeking a Forward Deployed Engineer to work closely with clients, delivering solutions for data and AI challenges using the Databricks platform. In this hybrid role, you will lead technical projects, engage with customers, and implement end-to-end systems while integrating engineering and application development. The ideal candidate has strong coding skills in Python and experience with cloud ecosystems such as AWS or Azure. You will also guide customers for successful adoption of the Databricks platform.

Important note: Be careful of scammers pretending to be from Contentsquare. We will never ask for money or contact you through random texts. Any communication from our in house Talent Acquisition team will only ever come from our domain. For more information, visit our careers blog. About the job The Information Systems Department (ISD) mission is to provide solutions, tools, services, data insights and AI to Contentsquare, enabling employees to work effectively and efficiently. Following recent re organization shifting Human Resource Information System management from People team to ISD, we are seeking a People Systems Lead. In this role you will lead system configuration, business process design, tier 2 3 maintenance, reporting and integration projects for our core Human Resources applications, especially Workday HCM. You will partner closely with People Business Process Owners, IT, Finance, Legal, Procurement, and cross functional stakeholders globally to deliver scalable People solutions. What you will do: Lead Workday HCM administration design, configuration and serve as primary subject matter expert for system optimization and security architecture across HCM modules. Design, configure, and continuously improve business processes to streamline People operations, enhance user experience, and enable sustainable growth. Build advanced workflows with dynamic approval routing, event triggered notifications, exception handling, and conditional logic to support complex international requirements. Manage integrations with payroll providers, benefits, talent acquisition, learning system and third party tools using EIB, connectors, and REST/SOAP APIs to ensure seamless data flow and maintain data integrity across systems. Partner with business teams in particular the People Team to translate business requirements into scalable technical solutions while enabling them on product management practices. Conduct technical analysis of releases, assess feature impacts, and perform non regression testing in sandbox environments. Implement security configurations including role based access controls, domain security policies, user based security assignments, and security group inheritance to enforce appropriate data access across complex organizational structures. Lead technical troubleshooting and root cause analysis. Drive external suppliers or software editors when relevant for system enhancements or issue troubleshooting while monitoring budget. Develop and maintain guides, integration documentation and system architecture diagrams to support knowledge transfer and system sustainability. Master the People software architecture and data flows around Workday HCM, considering limited ISD involvement on most other systems. Deploy ISD product and project methodology, get business team buy in, and facilitate change management while working in Sprint mode with JIRA for changes and JSM for support (tier 2 3 support). What you'll need to succeed: You have 5+ years of experience in HRIS, especially in configuring and administering Workday HCM You have advanced proficiency with Workday business process framework, expert level knowledge of Workday's data model, and a deep understanding of Workday security architecture You have experience with Workday integration tools including EIB template creation, core connector configuration, Web Services (SOAP/REST), and Workday Studio You are autonomous, proactive and you have excellent problem solving skills, with the ability to challenge needs and prioritization in order to develop effective solutions. You have great communication and interpersonal skills, with the ability to collaborate effectively with multi functional teams. You are a collaborative, forward thinking team player balanced with the strategic clarity needed to prioritise effectively, and set clear expectations within resource constraints. You speak English fluently and ideally French. What would be a plus: Workday certifications Workday reporting skills including custom reports, advanced reports, matrix reports, composite reports, and conditional logic. Experience in an international company Experience with JIRA and JSM Why you should join Contentsquare We invest in our people through career development, mentorship, social events, philanthropic activities, and competitive benefits. We are always assessing the perks we offer to ensure we're aligned with the employees' needs. Here are a few we want to highlight: Virtual onboarding, Hackathon, and various opportunities to interact with your team and global colleagues both on and offsite each year Work flexibility: hybrid and remote work policies Generous paid time off policy (every location is different) Lifestyle allowance A Culture Crew in every country we're based in to coordinate regular activities for employees to get to know each other and bond outside of work Every full time employee receives stock options, allowing them to share in the company's success We have multiple Employee Resource Groups, that offer a safe space for individuals who share common identities, life experiences, or allyship to connect, support one another, and passionately advocate for the issues close to their hearts And more benefits tailored to each country Contentsquare is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to sex, gender identity or expression, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law. Your personal data is used by Contentsquare for recruitment purposes only. Read the Job Candidate Privacy Notice to find out more about data protection at Contentsquare and your rights. You can exercise your rights by using our dedicated Data Subject Rights Portal. Your personal data will be securely stored in our hosting provider's data center in Oregon (US west). We have implemented appropriate transfer mechanisms under applicable data protection laws. Contentsquare may use AI assisted tools to help review and screen applications. All decisions involving hiring are made by human reviewers, and your personal data will be processed in accordance with our Candidate Privacy Policy.

Req ID: CSQ127R149 Location: London, United Kingdom - Hybrid Recruiter: Dina Hussain We're hiring for multiple roles within our FDE team. As a Forward Deployed Engineer (FDE), you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get the most value out of their data. This is a hands on, customer facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specifications with exceptional customer empathy. The impact you will have Production Solution Delivery: Lead impactful customer technical projects by delivering production grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects, including end to end design, build and deployment of industry leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects that lead to a customer's successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customers' needs. Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for Experience in data engineering, data platforms & analytics, or software engineering / full stack development Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps, ML/AI models and AI APIs Design and deployment of performant production end to end data architectures and applications that combine data pipelines, ML/AI models, and user facing interfaces. Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. Documentation and white boarding skills. Experience working with enterprise clients and managing conflicts across a broad stakeholder range Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks based solutions to complete customer projects. Travel to customers 20% of the time Databricks Certification - an advantage Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio economic status, veteran status, and other protected characteristics.

Menlo Ventures is seeking a Senior Software Engineer to enhance our ATO platform at Abnormal AI. You'll design, build, and scale backend systems while ensuring stability and reliability. This role demands strong backend proficiency in Python, with a focus on building resilient systems. Mentorship and cross-team collaboration are essential, as well as the ability to thrive in a dynamic environment.

Menlo Ventures is looking for a Manager, Field Engineering (Data and AI) in London. Your role involves leading a team of Solutions Architects in expanding our presence in the Energy and Resources sector. You will manage hiring, scaling, and building a collaborative team culture, while driving efficiency using AI. This position requires extensive experience in complex strategic accounts and excellent interpersonal skills to nurture relationships. Join us to enhance productivity and support business growth while promoting our commitment to diversity and inclusion.

Menlo Ventures is looking for a People Systems Lead in Greater London to manage Workday HCM configurations and enhance business processes for our HR applications. This role demands 5+ years in HRIS with proficiency in Workday integration tools and a strong problem-solving ability. We support career development with competitive benefits including remote work policies and stock options, fostering a culture of collaboration and growth. Join us to help shape the future of HR systems at Menlo Ventures.

Databricks is seeking a senior Solutions Architect for the UK&I Enterprise team. You will engage with大型 customers, define technical strategy, and drive adoption of the Lakehouse platform across data analytics and AI use cases. The role includes coaching juniors, leading workshops, and collaborating with cross-functional teams. Based in the UK with remote options and regular travel to client sites, including the London area, you will influence stakeholders from engineers to executives and help

JOB ID: FEQ427R333 Location: Remote, United Kingdom - The candidates can be based near Manchester or Leeds area Industry: Retail/CPG (UKI Enterprise) At Databricks, our core values are at the heart of everything we do. A culture of proactiveness and a customer-centric mindset guides us in creating a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be a vital part of this mission, utilising your technical expertise to demonstrate how our Lakehouse Platform can help customers address their complex data challenges. You'll work with a collaborative, customer-focused team who values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world! Reporting to the Manager, Field Engineering. The impact you will have: Engage with some of Databricks's largest and most complex customers across the UK & Ireland, defining their technical strategies and supporting them in adopting Databricks to achieve their business objectives. Collaborate with Databricks leadership, account teams and field engineers to define and execute customer engagement strategies. Demonstrate our Builder Culture to the highest standards, putting our principle of "show, not tell" into practice, supported by the full breadth of the latest in AI tooling and processes, to inspire customers and Bricksters on the art of the possible. Coach junior Solutions Architects and teams on use case prioritisation and building technical champions. You will influence stakeholders at all organisational levels through complex engagements with the broader cloud ecosystem and third-party applications, ensuring they are excited by the Databricks vision and solution strategy. Be a 'champion' for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Lakehouse platform. Contribute to Databricks' technical community engagement by developing customer-facing collateral and leading workshops, seminars, and meet-ups. Opportunity to continue your development in one of four tracks - technical specialisation, industry vertical thought leadership, strategic customer vision, and people management. What we look for: We are seeking a highly motivated and technically skilled individual to join our UK&I Enterprise Solutions Architecture team, which focuses on engaging with our largest and most complex customers, supporting them in executing strategic business change. This role offers the opportunity to be based in the London Office, with regular collaboration across the UK&I region and close alignment with our London-based team. Core Technical Qualifications: Hands on experience in technical pre sales or consultancy, with a strong background in Data Science - traditional Machine Learning, Deep Learning, Artificial Intelligence or Generative AI. Demonstrated ability to architect end to end Data & AI solutions, with specific expertise in modern Generative AI concepts (e.g., fine tuning, RAG, MLOps for LLMs), using either open source and/or ISV tools such as Dataiku, Domino, DataRobot etc. Hands on experience and enthusiasm for building with AI based development tooling such as Genie Code, Claude Code, Cursor etc. Strong proficiency in a core programming language (e.g., Python, SQL) and a willingness to learn (or existing knowledge of) Spark. Proficiency with big data analytics technologies and public cloud platforms (AWS, Azure, or GCP). Hands on expertise in designing and delivering complex proofs of concept (PoCs). Pre Sales & Customer Facing Skills: Proven ability to engage with customers in a technical sales capacity: challenging assumptions, guiding discussions to clear outcomes, and communicating both technical and business value propositions. Experience in the full pre sales lifecycle, including use case discovery, solution scoping, and delivering complex solution architecture designs to diverse audiences (from engineers to executives). A customer centric mindset with a passion for building client relationships and internal partnerships with account teams. Seniority & Leadership: Demonstrated experience in coaching and mentoring junior team members to help them develop their technical and customer facing skills. Logistics: Ability to commute to the London office regularly. Willingness and ability to travel approximately 20-30% of the time across UK&I and EMEA for customer visits. Nice to Have: Databricks or other relevant Cloud/Data certifications. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Harness is the AI Software Delivery Platform company, led by technologist and entrepreneur Jyoti Bansal (founder of AppDynamics, acquired by Cisco for $3.7B). Harness has raised approximately $570M in funding and is valued at $5.5B, backed by leading investors including Goldman Sachs, Menlo Ventures, IVP, Unusual Ventures, Citi Ventures, and more. As AI accelerates code creation, the real bottleneck has shifted to everything after the code - testing, deployments, application security, reliability, compliance, and cost optimization. Harness brings AI and automation to this "outer loop," helping teams ship software faster while maintaining security and governance throughout the entire software delivery lifecycle. Powered by Harness AI and the Software Delivery Knowledge Graph, the Harness Platform applies deep context and intelligent automation across the software delivery lifecycle with governance and policy-driven controls embedded throughout the platform. Over the past year, Harness powered over 185M deployments, 82M builds, 18T flag evaluations, 8M security scans, 9.1B optimized tests, 3T protected API calls, and helped manage $2.8B in cloud spend - enabling customers like United Airlines, Morningstar, and Choice Hotels to accelerate releases by up to 75%, reduce cloud costs by up to 60%, and achieve 10x DevOps efficiency. With a global team across 26 offices and 27 countries, Harness is shaping the future of AI software delivery - and we're looking for exceptional talent to help us move even faster. Position Summary In this role, you will be working with internal and external stakeholders to architect, design and implement FinOps, IaC, and DB solutions for enterprise customers. You will have an opportunity to work with Harness Engineering and various customer functions, such as DevOps, SRE, Cloud, Finance and Engineering Analytics teams. You will develop best practices and automations to streamline Harness platform deployments in the most efficient, scalable, repeatable and reliable manner possible. We're a high-growth company on a once-in-a-lifetime journey to revolutionize engineering deployment tools & continuous delivery. In this role, you will partner closely with enterprise customers across EMEA to architect, design, and implement DevSecOps, FinOps, and Engineering Excellence solutions using the Harness platform. You will collaborate with Harness Engineering, Sales Engineering, and Customer Success, as well as customer teams including DevOps, SRE, Platform Engineering, Cloud Infrastructure, Finance, and Engineering Leadership. Your mission is to help customers modernize and scale their CI/CD practices in a way that is secure, cost-efficient, reliable, and aligned with business outcomes. This is a hands-on, customer-facing role in a high-growth global SaaS company, supporting organizations as they evolve their cloud-native and Kubernetes adoption across AWS, GCP, and Azure. About the Role Engage directly with customer technical teams to assess and understand existing processes and DevSecOps, CI/CD pipelines and governance models. Architect and implement an optimized Harness setup for integration, scale, and repeatability Interface with the Customer's Executive and Leadership teams to understand the technical goals and business objectives related to their processes, design their Harness implementation to best fit those requirements, and correlate the technical success criteria to the business requirements Provide positive anecdotes from each engagement, craft best practices around Customer implementations, convert them into automation and create reference patterns Document and implement processes and solutions that are employed for onboarding success for the purpose of internal enablement Contribute to the product design, assist in the Harness Community, and for building out of an advanced technical knowledge base Consult on DevSecOps, cloud-native CI/CD and Kubernetes Interact with customers on a professional, meaningful and technically deep level Define current-state vs. target-state architecture and a phased onboarding and adoption roadmap spanning CI/CD, IaC, security and reliability. Provide forward-looking technical direction aligned with both customer needs and platform evolution. Author and standardize design patterns (reusable pipeline templates, deployment strategies, golden paths) and integration blueprints to SCM, cloud, artifact registries, secret managers, identity, ITSM, and observability. Guide and oversee execution across implementation engineers and delivery partners. Drive onboarding and adoption across multiple teams and business units. Deliver hands-on implementation across CI/CD, infrastructure-as-code, supply-chain security, the internal developer portal, database DevOps, and site reliability. Partner with Customer Success and account teams to drive adoption, growth, and long-term customer success Work closely with Pre-sales and Post-sales teams to ensure that Harness customers are successful and experience a high level of customer satisfaction with the Harness solution About You BA/BS degree in CS or Computer Engineering-related field with 8+ years in consulting roles / software delivery / DevSecOps / Platform Engineering You have a strong consulting attitude and a commercial acumen in delivering custom solutions to customers of all sizes, stakeholder management, workshop facilitation, and customer-facing communication are part of your DNA. Your written and verbal communication are exceptional - You are able to present to a platform engineer team as well as a CxO with equal confidence. You have experience driving engineering culture change in large enterprises - such as onboarding and adoption of new tooling, processes, and ways of working at scale. You are a results-driven individual with a hunger for accomplishing in fast paced environments and a knack for optimizing processes You have a proven ability to work with cross-functional, distributed teams. You are a perpetual learner, thrive in a team setting, enjoy sharing your experience and solutions, consistently pursuing excellence and success in all your tasks, detail-oriented and analytical, with excellent written and verbal communication skills. You are familiar with architecture frameworks (TOGAF or equivalent) and Well-Architected reviews (AWS/Azure/GCP) You have proven hands-on experience leading migrations from incumbent tooling to a modern, consolidated delivery platform - including continuous delivery (e.g., IBM UrbanCode Deploy / UCD), continuous integration (e.g., Jenkins), and infrastructure-as-code management (e.g., Terraform Cloud / HCP Terraform). Willingness to travel up to 25% Last but not least, you have deep hands-on experience in at least 3 of the areas listed below, with working knowledge of the rest: CI/CD & pipelines: GitLab CI/CD, GitHub Actions, Jenkins, Azure DevOps, CircleCI, GitOps principles with Argo CD/Workflows, Tekton, Buildkite, Bamboo, TeamCity, AWS CodePipeline. Policy-as-Code & governance: OPA/Rego, HashiCorp Sentinel, Kyverno. SSO & identity: Okta, Azure AD/Entra ID, OneLogin, Keycloak, LDAP, SAML/OIDC. Infrastructure as Code (IaC): Terraform, OpenTofu, Pulumi, AWS CloudFormation, Azure ARM/Bicep, Crossplane, Ansible - plus IaC orchestration/management such as Terraform Cloud / HCP Terraform, Spacelift, env0, Scalr, Terragrunt, Atlantis, AWS Proton IaC security scanning: Checkov, Wiz, Snyk IaC, Checkmarx, Terrascan Application security testing: SonarQube, Checkmarx, Veracode, Semgrep, Trivy, Grype, GitGuardian Internal developer portals & platform engineering: Backstage, Cortex, Roadie, Kratix, Port, OpsLevel, Atlassian Compass, Configure8, Humanitec - with hands-on catalog modeling, golden-path scaffolding, and scorecards Environment management & deployment: Argo CD, Flux, Spinnaker, Octopus Deploy, IBM UrbanCode Deploy, Codefresh; epoxy / on-demand environments (Bunnyshell, Qovery, Garden, Okteto, Signadot); configuration management with Ansible, Puppet, Chef, Saltstack in conjunction with Helm and Kustomize usage Database DevOps: Liquibase, Flyway (incl. Redgate Flyway), Bytebase, Atlas (Ariga), Sqitch, SchemaHero, Redgate SQL Change Automation, DBmaestro Site reliability & incident response (incl. AI-assisted): incident management and postmortems (PagerDuty, Opsgenie, incident.io, Rootly, FireHydrant, Blameless); AIOps / AI SRE (Resolve.ai, Cleric, Traversal, Neubird, Datadog Bits AI, BigPanda, Moogsoft) Observability Datadog, Prometheus/Grafana, New Relic, Splunk, Dynatrace, Honeycomb, OpenTelemetry Containers, cloud & foundations: Docker and Kubernetes (Helm, manifests, operators) on EKS/AKS/GKE; depth in at least one of AWS/Azure/GCP (IAM, networking, managed services); secrets management (HashiCorp Vault, AWS Secrets Manager, Azure Key Vault, GCP Secret Manager, CyberArk) Scripting, languages & OS: Linux, Bash, Python (or Go), PowerShell ITSM: ServiceNow, Jira Work Location UK, London. Travel is roughly 25% throughout the calendar year. What You Will Have at Harness Comprehensive healthcare benefits Flexible work schedule Paid Time Off and Parental Leave Monthly, quarterly, and annual social and team building events . click apply for full job details

Menlo Ventures is seeking an AWS Cloud Partner Solutions Architect to manage the AWS Databricks alliance across EMEA, driving adoption and consumption of the Data Intelligence Platform. You will engage with AWS and partner leadership to facilitate growth and manage an extensive pipeline of opportunities. The role demands extensive hands-on experience in cloud data stacks and requires collaboration with high-level executives for alignment towards Databricks solutions.

As the AWS Cloud Partner Solutions Architect for EMEA, you are the single-threaded technical owner of the AWS Databricks alliance across the region - today a $220M trailing-year consumption book growing at .7% YoY, the largest hyperscaler-driven consumption book in EMEA after Microsoft. You are the named Databricks counterpart that the AWS field (PSAs, PDMs, SAs) routes opportunities to, the convener of the EMEA AWS SME community, and the author of the better-together technical narrative for Databricks on AWS. You will engage AWS field and partner leadership, Databricks Field Engineering, and joint customer account teams to drive adoption and consumption of the Data Intelligence Platform on AWS - through executive alignment, large-scale partner enablement, joint product contribution, and multicloud architectural arbitration in our most strategic EMEA accounts. Reporting to: Director, Field Engineering (Partner Solutions Architect). What the role owns: AWS-sourced pipeline & EMEA AWS consumption growth - act as the single EMEA-wide SPOC for the AWS field. Channel AWS-sourced opportunities into Databricks (FY26: 150+ opportunities, $60M ARR pipeline, $10M realised, 35 net-new greenfield accounts) and carry the FY27 plan-of-record of % YoY growth / $297.86M target. The EMEA AWS SME community - convene and grow the cross-EMEA group of AWS deep SAs/SSAs/PSAs ( 15-20 members across UKI, France, Spain, Italy, Benelux, Nordics, MEA, Germany). Land the ASQ scope expansion (SWAT pattern) and run the joint operating cadence with the Databricks TFC at AWS. This is the mechanism that scales the role from single-person execution to field-distributed delivery. Partner enablement at scale - sustain the training engine that feeds pipeline 2-3 quarters out (300+ AWS Solutions Architects trained in EMEA in FY26; 50+ Databricks xSAs to AWS SA Associate at zero net cost via the AWS Partner Training Databricks L&E channel; 0-to-GenAI workshops, Lakehouse Days, regional meetups). Maintain the AWS Field Engineering Playbook. Joint product contribution & reference architectures - own the assets that lower time to first DBU and unblock deployments: AWS Marketplace QuickLaunch Moonwalk+, Agent Bricks Amazon Bedrock automation, the CloudFormation networking package, the AWS data exfiltration protection (DEP) architecture, the remote S3 strict residency pattern, and the EMEA cloud consumption dashboard. Strategic account unblock & multicloud arbitration - lead technical arbitration in EMEA's dense multicloud accounts (BP, EasyJet, Klarna, ABSA, ADIA, Mercedes Benz, BNP Paribas and others), where a single architectural decision can swing $1M+ ARR. Executive alignment & external brand - run QBRs with named AWS regional leaders at BU+1, and be the EMEA technical voice at AWS Summits, DAIS, and Re:Invent EMEA. The impact you will have: Accelerate AWS sourced pipeline and its conversion to consumption by aligning AWS and Databricks resources and providing the technical expertise to win and expand multicloud accounts. Shift cloud balance toward AWS across EMEA Diamond and Pearl accounts, protecting and growing Databricks' hyperscaler revenue mix. Grow field wide AWS capability - through the SME community, certification programmes, and reusable architectures - so AWS depth is distributed across the EMEA field rather than concentrated in one person. Develop and sustain senior AWS executive relationships that surface new opportunities, sharpen competitive positioning, and anchor joint go to market. What we look for: Extensive hands on experience as a data professional in a modern, cloud based data stack. Hyperscaler alliance experience (AWS strongly preferred) with credibility to be the EMEA SPOC for the AWS field and to convene a cross region SME community. AWS specific technical depth - PrivateLink, VPC Lattice, IAM, networking/CloudFormation, AWS Marketplace, Amazon Bedrock, and Glue Unity Catalog federation. At least 3 years of technical pre sales / sales methodology experience within a consumption business model. Ability to collaborate with partner and customer organisations at senior executive level, aligning their objectives to Databricks products and services. Proven ability to run training sessions, workshops, and webinars, and to author technical content (whitepapers, reference architectures, solution guides, playbooks). Coding in a core programming language (Python, Java, or Scala); comfort generating infrastructure as code (e.g. CloudFormation). Designing, implementing, and maintaining end to end data architectures for Big Data, Data Warehousing, and AI on MPP based platforms. Managing multiple, frequently changing priorities across multiple teams. The role requires up to 40% travel across EMEA - to customer and AWS partner sites, AWS EMEA offices, and the key partnership moments of the year (AWS Summits across EMEA, DAIS, Re:Invent). Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio economic status, veteran status, and other protected characteristics. Compliance If access to export controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Harness, a leader in AI software delivery based in Greater London, is searching for a skilled DevOps Consultant to work closely with enterprise customers. In this hands-on, customer-facing role, you'll architect and implement solutions to modernize CI/CD practices while providing exceptional customer service and technical expertise. The ideal candidate possesses extensive experience in cloud-native environments, consulting, and improvement of software delivery processes, making a significant impact in a high-growth tech environment.

Location: London, United Kingdom - Hybrid Job Role: Senior Forward Deployed Engineer - Solutions Architect or Senior Solutions Architect level We're hiring for multiple roles within our FDE team. As a Forward Deployed Engineer (FDE), you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get the most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specifications with exceptional customer empathy. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects, including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects that lead to a customer's successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customers' needs. Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for: Experience in data engineering, data platforms & analytics, or software engineering / full stack development Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps, ML/AI models and AI APIs Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user facing interfaces. Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. Documentation and white boarding skills. Experience working with enterprise clients and managing conflicts across a broad stakeholder range Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks based solutions to complete customer projects. Travel to customers 20% of the time Databricks Certification - an advantage About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio economic status, veteran status, and other protected characteristics. Compliance If access to export controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Databricks is seeking a Senior Forward Deployed Engineer to lead production-grade data and AI solutions for strategic customers in a hybrid London setting. You will own architecture, design decisions, and end-to-end delivery across data engineering, ML/AI model integration, and application development. The role demands strong coding in Python/Scala, deep Spark expertise, and experience with cloud ecosystems.

As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands on, customer facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end to end design, build and deployment of industry leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for: 6+ years experience in data engineering, data platforms & analytics, or software engineering Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps, ML/AI models and AI APIs Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces. Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. Documentation and white boarding skills. Experience working with enterprise clients and managing conflicts across a broad stakeholder range Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks based solutions to complete customer projects. Travel to customers 20% of the time Databricks Certification Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio economic status, veteran status, and other protected characteristics. Compliance If access to export controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.