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Retail Media Data Analyst
Southampton – 1x a week
Up to £50,000 + up to 20% bonus

This is an opportunity to join a growing analytics function at a business investing heavily in customer insight, retail media, and data-driven decision making. You’ll sit at the intersection of CRM, customer analytics, and marketing measurement, helping shape how campaigns are evaluated, audiences are built, and commercial performance is improved.

The Company
They are a well-established, customer-focused retail organisation with a significant omnichannel presence. Data plays a central role in how they understand customer behaviour, optimise marketing activity, and drive commercial performance. Their analytics team partners closely with commercial, marketing, and customer teams to deliver actionable insight that influences strategic decisions across the business.

The Role
As a Retail Media Data Analyst, you will support the measurement, optimisation, and growth of retail media and CRM activity through advanced analytics and customer insight.
Responsibilities include:

• Deliver analysis across retail media, CRM, and loyalty programmes, focusing on customer behaviour, audience performance, and commercial outcomes.
• Measure campaign effectiveness using incrementality, uplift, ROI, and contribution to sales, margin, and customer engagement.
• Design, build, and evaluate customer audiences and segments to support marketing activation and targeting strategies.
• Produce post-campaign analysis and performance reviews, turning findings into clear recommendations.
• Develop and monitor customer health metrics including acquisition, engagement, retention, frequency, churn, and customer value.
• Partner with stakeholders across analytics, marketing, and commercial functions to influence decision-making.
• Use data to identify opportunities for optimisation and continuous improvement across customer and marketing initiatives.
• Contribute to scalable analytical solutions and best practices within a collaborative analytics environment.
• Stay informed on developments within retail media, CRM, personalisation, and marketing measurement.

Your Skills & Experience

• Strong SQL skills with the ability to interrogate and analyse large customer datasets.
• Experience working with customer, CRM, or loyalty data in a commercial environment.
• Proven capability in marketing analytics, campaign measurement, and customer insight generation.
• Experience designing, evaluating, and optimising marketing campaigns across multiple channels.
• Strong understanding of statistical concepts including hypothesis testing, confidence intervals, and significance testing.
• Experience using cloud-based analytics environments such as Databricks, Snowflake, or BigQuery.
• Strong data visualisation and storytelling skills, with the ability to communicate insights to both technical and non-technical audiences.
• Experience working with high-volume customer data, ideally within retail or another consumer-focused industry.
• Ability to influence stakeholders through clear, actionable recommendations rather than reporting alone.

What They Offer

• Exposure to a growing retail media capability and evolving analytics function.
• Opportunity to work alongside experienced analytics professionals and develop expertise across customer analytics, CRM, retail media, and marketing measurement.
• Hybrid working environment with strong stakeholder exposure and career development opportunities.

How to Apply
If you’re a data-driven analyst with experience across customer analytics, CRM, and marketing measurement, apply today to discuss this Retail Media Data Analyst opportunity in more detail.

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Senior Econometrics Consultant
Hybrid – 3x a week in London
Up to £60,000

If you’re passionate about marketing effectiveness and enjoy turning complex data into clear commercial recommendations, this is an exciting opportunity to join a highly specialised analytics team. You’ll take ownership of high-impact modelling projects, work directly with clients, and help some of the UK’s leading consumer brands optimise their marketing investment.

The Company
They are a global analytics and marketing effectiveness consultancy that helps organisations make smarter decisions about their advertising and media investment. Through advanced analytics, independent insight, and data-driven recommendations, they support businesses in improving performance and maximising return on marketing spend.
With an established presence across international markets, they partner with a diverse portfolio of well-known brands and provide expertise across areas including marketing effectiveness, media performance, and commercial analytics. Their collaborative culture encourages continuous learning, professional development, and meaningful client impact.

The Role
As a Senior Analytics Consultant, you will play a key role in delivering advanced marketing analytics projects, with a particular focus on Marketing Mix Modelling (MMM).
Responsibilities include:

• Building, developing, and delivering Marketing Mix Models to assess marketing effectiveness and commercial impact
• Working across a variety of analytical projects including MMM, geo-testing, forecasting, and marketing optimisation
• Interpreting complex datasets and translating findings into actionable business recommendations
• Presenting results and strategic recommendations to internal and external stakeholders
• Managing client relationships and supporting discussions throughout project delivery
• Collaborating closely with senior consultants within a specialist analytics team
• Supporting high-quality project execution from data collection through to final insight delivery

Your Skills & Experience

• Strong commercial experience building and delivering Marketing Mix Models
• Excellent analytical, statistical, and numerical skills
• Ability to interpret data and communicate insights to both technical and non-technical audiences
• Strong stakeholder management and client-facing experience
• Confident presentation and communication skills
• Experience working on marketing effectiveness, forecasting, econometrics, or related analytical projects
• Familiarity with analytical tools and methodologies used within marketing measurement environments

What They Offer

• Opportunity to work directly with senior leaders and experienced analytics professionals
• Exposure to a broad range of marketing effectiveness and optimisation projects
• Clear opportunities for professional growth and career progression
• Collaborative and supportive team environment
• Flexible working approach and commitment to employee wellbeing

How to Apply
If you’re an experienced Senior Analytics Consultant with strong Marketing Mix Modelling expertise and are looking for an opportunity to make a tangible commercial impact, apply today to learn more.

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Senior AI Product Owner (Domain Lead)
London – hybrid 3x a week
Up to £85,000 + Car Allowance + Up to 20% Bonus

This is an exciting opportunity to join a growing AI Centre of Excellence at a pivotal stage of its AI transformation journey. Sitting at the intersection of product, AI, commercial strategy and delivery, you will help shape and scale AI solutions that drive measurable business impact across multiple functions. If you enjoy variety, influencing senior stakeholders and bringing AI products from concept to adoption, this role offers exceptional breadth and visibility.

The Company
They are a large, customer-focused organisation investing significantly in artificial intelligence to improve both customer and colleague experiences. Their AI Centre of Excellence works across the business to identify, develop and scale AI opportunities that create commercial value. With a growing portfolio of AI initiatives already underway, they are focused on moving successful concepts into production and delivering measurable outcomes. This is a highly collaborative environment where AI, product and business teams work closely together to accelerate innovation.

The Role
As a Senior AI Product Owner, you will own a portfolio of AI opportunities across key commercial domains, helping stakeholders identify where AI can create value and ensuring solutions are successfully delivered and adopted.

Key responsibilities include:

• Identifying and prioritising AI opportunities across commercial business functions.
• Partnering with senior stakeholders to understand problems, define outcomes and shape AI use cases.
• Leading discovery activities, workshops and problem-framing sessions.
• Building and managing a prioritised portfolio of AI initiatives.
• Taking AI solutions from ideation through proof of concept, production and adoption.
• Defining value hypotheses, success measures and acceptance criteria.
• Collaborating with AI specialists, technical teams and delivery functions to achieve outcomes.
• Supporting the evaluation, selection and configuration of AI solutions where appropriate.
• Coordinating user testing, gathering feedback and driving continuous improvement.
• Leading adoption planning, including training, communications and process change.
• Tracking usage, benefits realisation and commercial impact following deployment.
• Ensuring initiatives align with security, privacy, compliance and responsible AI requirements.
• Acting as the primary link between business stakeholders and the AI Centre of Excellence.

Your Skills & Experience

• 7+ years of experience in product environments, with 3+ years specifically on AI solutions.
• Strong product management, product ownership, or transformation experience.
• Practical experience working with AI or Generative AI solutions in a commercial environment.
• Ability to identify, shape and prioritise AI opportunities based on business value.
• Strong understanding of AI and GenAI capabilities, limitations and implementation considerations.
• Experience taking digital, automation or AI initiatives beyond experimentation and into adoption.
• Excellent stakeholder management and facilitation skills.
• Strong commercial awareness with an outcomes-focused mindset.
• Ability to work effectively across multiple initiatives simultaneously.
• Experience defining success metrics and using data to measure impact.
• Strong communication skills with the ability to influence a range of audiences.
• Understanding of responsible AI, privacy and governance considerations.

What They Offer

• The opportunity to play a key role in a large-scale AI transformation programme.
• Exposure to a broad portfolio of AI products and commercial use cases.
• Strong visibility with senior stakeholders and AI leadership.
• Excellent scope to influence strategy and develop expertise in AI product delivery.

How to Apply
If you have a strong product background combined with hands-on AI or Generative AI experience and are excited by the opportunity to shape and scale impactful AI solutions, please apply to learn more.

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Director of Analytics

Lead the Future of Data, Analytics & Business Intelligence

Are you a hands-on analytics leader who thrives on building scalable data platforms, leading high-performing teams, and delivering analytics products that drive real business impact? We are seeking an experienced Director of Analytics to define and execute the vision for a modern enterprise analytics ecosystem that serves both internal stakeholders and external customers at scale.

This is a unique opportunity for a builder and strategist who has personally delivered production-grade analytics solutions and is passionate about transforming data into competitive advantage. You’ll lead a talented analytics engineering team while remaining deeply involved in architecture, platform design, governance, and technical decision-making.

The Opportunity

As Director of Analytics, you will own the strategy, architecture, and execution of a large-scale analytics platform that supports reporting, self-service analytics, data-driven decision-making, and embedded analytical experiences.

This is not a management-only role. We are looking for a technical leader who has built data pipelines, designed semantic models, developed client-facing analytics products, and understands the challenges of delivering reliable analytics in complex environments.

What You’ll Lead

Analytics Platform Strategy & Delivery

• Define and execute a long-term analytics and business intelligence roadmap.
• Lead the end-to-end delivery of data products across ingestion, warehousing, modeling, visualization, and embedded analytics.
• Design scalable, client-facing analytics experiences and self-service reporting capabilities.
• Establish standards for data lifecycle management, governance, and platform reliability.
• Ensure analytics products align with business objectives and user needs.

Technical Leadership

• Serve as the senior authority on analytics architecture, data modeling, warehouse design, and business intelligence strategy.
• Provide hands-on guidance on data pipelines, performance optimization, cloud architecture, and cost management.
• Champion modern analytics engineering practices including CI/CD, version control, testing, automation, and infrastructure-as-code.
• Drive innovation while balancing scalability, maintainability, and operational excellence.
• Evaluate emerging technologies and determine where they add meaningful value.

Team Leadership & Development

• Build, mentor, and lead a high-performing analytics engineering organization.
• Foster a culture of ownership, technical excellence, collaboration, and continuous improvement.
• Recruit top-tier analytics and data engineering talent.
• Establish career development frameworks, technical mentorship programs, and succession planning.
• Partner closely with engineering, product, operations, and business leaders.

Data Governance & Operations

• Implement governance frameworks covering security, access controls, compliance, lineage, quality, and observability.
• Define and monitor service level expectations for data availability, freshness, and platform performance.
• Establish operational best practices that ensure reliability and trust in analytics assets.
• Build monitoring and alerting capabilities across the analytics ecosystem.

Executive & Stakeholder Partnership

• Translate business strategy into scalable analytics capabilities.
• Communicate complex technical concepts to executive and non-technical audiences.
• Act as a trusted advisor on analytics strategy, data architecture, and reporting solutions.
• Influence cross-functional decision-making through data and insight.

What We’re Looking For

Leadership Experience

• 10+ years of experience in analytics engineering, data engineering, business intelligence, or related technical disciplines.
• 5+ years leading and developing high-performing analytics or data engineering teams.
• Proven success delivering enterprise-scale analytics platforms and data products.
• Strong experience recruiting, mentoring, and retaining technical talent.
• Demonstrated ability to balance strategic leadership with hands-on technical involvement.

Technical Expertise

• Deep experience with modern cloud-based data warehousing and analytics architectures.
• Advanced SQL expertise, including performance tuning and large-scale data modeling.
• Strong knowledge of business intelligence and visualization platforms such as Looker, Tableau, or Power BI.
• Experience with semantic modeling, self-service analytics, and governed reporting environments.
• Expertise in Python for data engineering, automation, and analytics workflows.
• Familiarity with data transformation, orchestration, and pipeline development tools.
• Understanding of modern software engineering practices including Git, CI/CD, DevOps, and infrastructure automation.
• Experience working across cloud environments such as AWS, Azure, and/or GCP.

Governance & Performance

• Experience implementing enterprise data governance frameworks.
• Knowledge of security, compliance, data quality, observability, and monitoring practices.
• Strong background in system optimization, scalability, and performance management.

Communication & Leadership Style

• Outstanding communication and stakeholder management skills.
• Ability to influence executives, technical teams, and business leaders alike.
• Strategic thinker with a builder’s mindset.
• Comfortable operating in fast-changing environments and making informed decisions amid ambiguity.
• Passionate about using data to drive measurable business outcomes.

Preferred Qualifications

• Experience building customer-facing or embedded analytics products.
• Expertise supporting multi-tenant analytics environments.
• Knowledge of infrastructure-as-code and containerization technologies.
• Exposure to AI and machine learning-enabled analytics solutions.
• Advanced degree in Data Science, Computer Science, Mathematics, Engineering, or a related quantitative discipline.

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AI Product Manager

$200,000-$250,000

Overview

A rapidly growing technology-driven financial services organisation is seeking an AI Product Manager to help transform core business processes through applied artificial intelligence. This role will partner closely with business stakeholders, technical specialists, and external development partners to identify opportunities, redesign workflows, and deliver production-ready AI solutions.
The successful candidate will play a hands-on role throughout the product lifecycle, from process discovery and solution design to implementation, quality evaluation, and user adoption. This is an excellent opportunity for an early-to-mid career product professional looking to deepen expertise in AI-enabled products within a fast-paced environment.

Key Responsibilities

Process Discovery & Analysis

• Conduct structured discovery sessions with subject matter experts to understand existing workflows, decision points, bottlenecks, exception handling, and operational metrics.
• Document current-state processes, including cycle times, error rates, manual effort, and business impact.
• Identify undocumented practices, workarounds, and edge cases that may influence solution design.
• Challenge assumptions and validate findings through structured analysis and stakeholder engagement.

AI Solution Design & Documentation

• Translate business and operational insights into future-state AI-driven process designs.
• Create detailed solution specifications outlining functionality, inputs, outputs, business rules, quality controls, and acceptance criteria.
• Evaluate potential external engineering or implementation partners based on capability, experience, and engagement requirements.
• Develop recommendations supported by business cases, impact assessments, and implementation considerations.

Delivery & Partner Management

• Coordinate day-to-day execution activities with external development partners.
• Monitor progress against requirements, milestones, and delivery expectations.
• Review outputs and identify deviations from agreed specifications.
• Facilitate collaboration between technical teams, quality reviewers, and business stakeholders to ensure successful delivery.

Quality Assurance & Evaluation

• Design quality-control frameworks prior to implementation, including review processes, validation methods, and evaluation criteria.
• Collaborate with technical and analytical teams to define success metrics, benchmark datasets, and performance thresholds.
• Ensure solution outputs are reviewed and validated before broader user adoption.

Deployment & Change Adoption

• Coordinate pilot and validation periods that compare AI-generated outputs against existing processes.
• Support stakeholder engagement and change management efforts to drive adoption.
• Measure business outcomes against established baselines and identify opportunities for continuous improvement.

Required Qualifications

• 3 to 5 years of experience in product management, product analysis, business analysis, or a related discipline.
• Direct experience working with AI-enabled or machine learning-based products.
• Demonstrated ability to conduct process discovery with business stakeholders and translate findings into actionable requirements or solution designs.
• Experience producing product artefacts such as process maps, requirements documents, specifications, or design briefs.
• Strong problem-solving skills with the ability to structure ambiguous challenges and drive work independently.
• Bachelor’s degree in Business, Computer Science, Engineering, Economics, or a related field.

Preferred Qualifications

• Experience within financial services, fintech, lending, or other highly regulated industries.
• Exposure to high-growth, technology-driven organisations.
• Experience managing or coordinating external technology vendors, consultants, or development partners.
• Master’s degree in a relevant discipline.
• Proven track record delivering AI-enabled solutions in production environments.

Skills & Competencies

• Understanding of AI technologies, large language model applications, intelligent automation, and AI-agent-based workflows.
• Strong process-mapping, business analysis, and workflow redesign capabilities.
• Ability to create clear, implementation-ready specifications and requirements documentation.
• Structured approach to solving complex and undefined business problems.
• Effective stakeholder management and relationship-building skills.
• Strong written and verbal communication abilities.
• Ability to influence adoption by engaging stakeholders throughout the discovery and implementation process.

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Senior Marketing Analyst

Drive Growth Through Data, Insights & Innovation

Are you a data-driven marketing professional who thrives on turning complex information into actionable business strategies? We are seeking a Senior Marketing Analyst to play a key role in shaping marketing performance, member/customer growth, and strategic decision-making through advanced analytics, predictive modeling, and compelling data storytelling.

In this high-impact position, you will partner with marketing and business leaders to uncover opportunities, optimize campaigns, improve member/customer engagement, and deliver insights that drive measurable results. This is an excellent opportunity for an analytical thinker who enjoys building solutions, influencing strategy, and taking ownership of business outcomes.

What You’ll Do

• Develop and optimize complex SQL queries, stored procedures, views, and functions using T-SQL.
• Gather requirements, build prototypes, conduct testing, and deliver insights through Power BI dashboards and executive presentations.
• Perform quantitative analysis, data mining, and predictive modeling to support marketing initiatives and growth objectives.
• Create forecasting models for budgeting, growth projections, and campaign performance.
• Build analytical models focused on churn analysis, customer lifetime value, and return on advertising spend (ROAS).
• Design and maintain dashboards, reports, and KPI tracking tools.
• Analyze digital performance, including website behavior, conversion funnels, and online engagement metrics.
• Lead research initiatives to identify trends, opportunities, risks, and optimization strategies.
• Ensure data accuracy and integrity through ongoing quality validation processes.
• Present findings to both technical and non-technical audiences, translating data into business recommendations.
• Automate reporting processes and improve operational efficiency through innovative solutions.
• Collaborate cross-functionally with stakeholders to support strategic business goals.

What We’re Looking For

• Strong analytical, problem-solving, and critical-thinking skills.
• Ability to manage multiple priorities in a fast-paced, evolving environment.
• Excellent verbal and written communication skills.
• Self-motivated, proactive, and accountable with a strong attention to detail.
• Experience presenting complex insights to executive and business audiences.
• A passion for innovation, continuous improvement, and using data to influence decisions.

Required Qualifications

• Bachelor’s degree in Data Science, Computer Science, Information Systems, Statistics, Mathematics, Economics, Finance, Accounting, or a related discipline.
• 5+ years of experience in an analytical role, preferably within marketing, business analytics, or financial services.
• Advanced SQL programming experience (T-SQL preferred).
• Strong experience applying statistical and mathematical techniques to data analysis and modeling.
• At least 2 years of recent Power BI experience.
• Experience working in agile, fast-paced environments.
• Experience with cloud technologies (Azure preferred).
• Knowledge of Google Analytics and/or Adobe Analytics.
• Proficiency with Microsoft Office Suite.

Preferred Qualifications

• Experience measuring and optimizing marketing campaign performance.
• Background in banking, credit unions, or financial services.
• Experience with customer segmentation, acquisition, retention, and lifecycle analytics.

Work Authorization: Candidates must be currently authorized to work in the United States. This position is not eligible for visa sponsorship now or in the future.

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Senior AI Product Owner (Domain Lead)
London (Hybrid, 3 days per week) | Up to £90,000 + £5,000 Car Allowance

This is an opportunity to join a growing AI Centre of Excellence at a pivotal stage in its development. You’ll play a key role in identifying, shaping and scaling AI products that deliver measurable commercial value, working across a diverse portfolio of high-impact initiatives rather than focusing on a single product roadmap.

The Company
They are a well-established consumer-focused organisation investing heavily in artificial intelligence to transform customer experiences, commercial performance and operational effectiveness. Their AI Centre of Excellence acts as a central function, partnering with teams across the business to identify and deliver innovative AI solutions. With strong executive sponsorship and an expanding AI roadmap, they offer the chance to influence how AI is adopted at scale across a large organisation.

The Role
As a Senior AI Product Owner, you will act as a domain lead across multiple AI initiatives, helping to bridge the gap between commercial stakeholders and technical delivery teams.
Key responsibilities include:

• Identifying and prioritising AI and Generative AI opportunities across commercial functions
• Working with senior stakeholders to understand business challenges and define high-value use cases
• Leading discovery activities, problem framing and opportunity assessment
• Building and managing a prioritised portfolio of AI initiatives
• Taking AI products from concept and proof of value through to deployment and adoption
• Defining success metrics, value hypotheses and acceptance criteria
• Collaborating with AI specialists, engineers and delivery teams to bring solutions into production
• Driving testing, feedback collection and iterative product improvement
• Supporting user adoption through training, communication and operational change
• Measuring product performance, business impact and realised benefits
• Balancing innovation with governance, compliance, security and responsible AI practices

Your Skills & Experience

• Strong Product Management or Product Ownership experience within a commercial environment
• Experience working on AI or Generative AI products and use cases
• Demonstrable ability to identify, shape and deliver AI solutions that create business value
• Strong stakeholder management skills, including engagement with senior decision-makers
• Experience leading discovery and translating business problems into product opportunities
• Commercially minded with the ability to balance customer needs, business outcomes and technical feasibility
• Comfortable operating in ambiguity and managing multiple initiatives simultaneously
• Strong communication and facilitation skills, with the ability to drive alignment and decision-making
• Experience taking AI solutions beyond experimentation and into scalable production environments

How to Apply
If you’re an experienced AI Product Owner or Product Manager looking to drive the adoption of AI products across a portfolio of high-impact use cases, please apply with your CV to be considered for this opportunity.

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Senior Product Analyst

Location: Remote (UK)
Salary: Up to £70,000 + Bonus + Equity

The Opportunity

We’re partnering with a high-growth consumer platform looking for a Senior Product Analyst to own analytics across key revenue-generating product journeys.

This is a highly influential role where you’ll work closely with Product and Growth teams to drive conversion, experimentation, customer activation and product performance. You’ll be responsible for turning complex customer data into actionable recommendations that directly shape product strategy and business growth.

What You’ll Be Doing

• Own analytics across customer acquisition, conversion and onboarding funnels.
• Identify growth opportunities and proactively recommend improvements.
• Design, implement and analyse A/B and multivariate experiments.
• Define tracking requirements, KPIs and success metrics for new product features.
• Build dashboards and self-serve reporting solutions for stakeholders.
• Influence product decisions through data-driven insights and commercial thinking.
• Mentor analysts and help drive best practices across analytics and experimentation.

What We’re Looking For

• Strong Product Analytics experience within a marketplace, SaaS, subscription or digital product environment.
• Advanced SQL skills.
• Hands-on experience with experimentation, A/B testing and statistical analysis.
• Experience with product analytics tools such as Amplitude, Mixpanel, Segment or similar.
• Strong understanding of product metrics including conversion, activation and retention.
• Excellent stakeholder management and data storytelling skills.
• Experience with dbt, Python or R would be advantageous.

How to Apply

If you’re interested in learning more about this opportunity, apply directly or get in touch with me!

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DATA SCIENTIST

SALARY BETWEEN £50,000-£60,000

LONDON

HYBRID WORKING (ONCE A WEEK IN-OFFICE)

Harnham are working with an early-stage FinTech lender that is looking to hire a Data Scientist to join its growing credit function. This is an excellent opportunity for someone with strong quantitative skills to have a direct impact on lending decisions and help shape a business from an early stage.

THE COMPANY

This growing FinTech lender is building a modern lending platform that combines data-driven decision making with strong credit risk practices. Having recently secured funding and obtained the regulatory foundations needed for growth, the business is entering an exciting phase of expansion. Led by an experienced leadership team with a proven track record in consumer lending and financial services, the company offers the opportunity to join early, learn from industry experts, and play a key role in shaping the future of the business.

THE ROLE

As a Data Scientist, you will focus on credit risk, decisioning, and lending strategy. You will play a key role in developing and implementing analytical solutions that support lending decisions, pricing, affordability assessments, and portfolio performance.

Specifically, you can expect to be involved in the following:

• Building and monitoring credit risk scorecards, pricing models, and decisioning strategies.
• Developing analytical solutions using customer, transactional, and external data sources.
• Supporting affordability analysis, portfolio monitoring, and performance reporting.
• Enhancing lending policies and strategies through data-driven insights.
• Collaborating with commercial, product, and technology teams to improve lending outcomes.

SKILLS AND EXPERIENCE

The successful Data Scientist will have the following skills and experience:

• A strong academic background with a degree in a quantitative STEM discipline.
• 2-4 years of experience in Data Science, Credit Risk Analytics, or a related quantitative field.
• Experience within financial services, lending, insurance, or a similarly regulated environment.
• Strong Python and SQL skills.
• Knowledge of statistical modelling and machine learning techniques.
• Ability to communicate analytical findings clearly to both technical and non-technical stakeholders.

BENEFITS

The successful Data Scientist will receive a salary up to £60,000.

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Staff / Principal AI/ML Engineer

Location: San Mateo, CA – Hybrid, 2-3 days/week
Remote: Exceptional remote candidates may be considered
Compensation: $250,000-$350,000 base + equity
Level: Mid-Level through Principal, based on experience

The Opportunity

We’re partnering with a fast-growing enterprise AI company building the next generation of AI-powered data engineering and analytics technology.

The company is developing production AI agents that allow enterprise users to interact with complex data through natural language. Rather than manually building data transformations and pipelines, users can describe what they need and AI agents generate, modify, validate, and deploy production-ready workflows.

They’re expanding a small, highly technical AI engineering organization and are looking for engineers who want significant ownership over how these systems are designed and built.

This is not a research or proof-of-concept environment. The systems you build will ship directly into a customer-facing enterprise product.

What You’ll Own

You’ll work across the intelligence layer of the platform, including:

• Architecting multi-step AI agents from design through production
• Building retrieval and knowledge systems that allow agents to reason over complex enterprise data
• Developing RAG pipelines, vector search, semantic retrieval, and knowledge graph capabilities
• Building AI systems capable of generating and modifying production-quality code and data transformations
• Designing evaluation frameworks to measure agent quality, reliability, and performance
• Making decisions around model selection, prompting, fine-tuning, and build-vs-buy
• Solving production challenges involving latency, throughput, scalability, reliability, and observability
• Taking large, ambiguous technical problems from initial concept through deployment
• Helping establish architecture and engineering standards as the AI organization continues to grow

What We’re Looking For

We’re looking for engineers who have built real AI products-not just experiments.

Strong candidates will have:

• Experience building and deploying AI agents or sophisticated LLM-powered systems into production
• Strong software and backend engineering fundamentals
• Advanced Python experience
• Experience with RAG and retrieval architectures
• Experience with vector databases, semantic search, or knowledge graphs
• Experience designing evaluation systems for production AI
• A track record of owning technically complex projects from architecture through deployment
• Experience operating and supporting production systems
• The ability to make architectural decisions in ambiguous, rapidly changing environments
• A strong product mindset and desire to build customer-facing technology

Particularly Valuable Experience

Experience with any of the following would be beneficial:

• Coding agents or code-generation systems
• Knowledge graphs / Neo4j
• Vector databases
• AWS
• Kubernetes
• Go
• Scala
• Java
• Databricks
• Snowflake
• BigQuery
• Spark
• DuckDB
• Large-scale data processing or analytics platforms

Who Will Do Well Here

You’ll likely thrive in this environment if you’re a hands-on builder who enjoys solving problems without a predefined roadmap.

The team moves quickly and expects engineers to challenge assumptions, experiment with new approaches, discard ideas that aren’t working, and continuously rethink architecture as AI technology evolves.

This role is particularly well suited for someone who wants substantial technical ownership and the opportunity to influence how production AI agents are built at the platform level.

Compensation

Base Salary: $250,000-$350,000, depending on level and experience

Equity: Stock options with a four-year vesting schedule and one-year cliff

The company also provides comprehensive health benefits, flexible PTO, professional development support, and additional wellness benefits.

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