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The Opportunity

A global subscription-led business is seeking a Senior Analyst to join its Analytics & Insights team.

This role focuses on understanding subscriber/customer behaviour and performance across multiple international markets. You’ll work with stakeholders across commercial, marketing and product teams to provide insights that support customer acquisition, retention and engagement strategies.

The successful candidate will be comfortable working with large datasets, designing analytical approaches to answer business questions, and presenting findings in a clear and actionable way.

Key Responsibilities

• Analyse subscriber growth, retention and engagement trends, providing recommendations to support business objectives.
• Translate complex data into clear insights for a range of stakeholders.
• Design and evaluate experiments using robust statistical methodologies.
• Develop and maintain dashboards, reports and visualisations to monitor performance.
• Support the adoption of self-service analytics and data-informed decision making.
• Identify opportunities to improve reporting processes and analytical workflows.
• Build strong relationships with stakeholders across different functions and markets.
• Manage and prioritise analytical requests, ensuring timely delivery of insights.

Skills & Experience

• Previous experience in an analytics, insights or business intelligence role.
• Strong stakeholder management and communication skills, with the ability to influence decision making through data.
• Advanced SQL skills and experience working with large, complex datasets.
• Experience using visualisation tools such as Tableau, Power BI or Looker.
• Strong understanding of statistical techniques, including hypothesis testing, regression analysis and experimentation.
• Experience using Python, R or another statistical programming language.
• Ability to work independently and manage multiple priorities.
• Experience using AI tools to improve analytical workflows would be beneficial.

Benefits

• 25 days annual leave
• Private medical insurance

Apply

If you’re looking for a role where you can use data to help shape commercial decisions and customer strategy within a large-scale subscription business, we’d be keen to hear from you.

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Title: Research Manager

Location: USA Remote

Compensation: Up to $470k + Equity

Essential: A demonstrated research track record with an h-index of 20+

We’re partnered with a well-funded AI research company focused on building next-generation multimodal models for media, interactive experiences, and world models. Their work spans cutting-edge generative systems and is increasingly moving toward real-time, interactive environments, pushing beyond static outputs into dynamic, AI-driven applications.

This is a high-impact, cross-functional role focused on managing and growing an Applied ML Research team building cutting-edge tools for AI-based media and world models, with a strong research foundation in computer vision and direct exposure to multimodal work, VLMs/MLLMs, and Physical AI as part of their core research team.

What You’ll Do

• Manage and grow a team of senior researchers (likely 5-10), mentoring them and supporting their career growth while staying hands-on with research
• Oversee the transition from research into production, working closely with engineering to ship state-of-the-art ML work
• Partner with Product to initiate and develop research projects that translate into clear user value
• Communicate goals, drive execution, and inspire through others across a cross-functional org
• Translate product and business objectives into technical research strategies

Requirements

• 5+ years of industry experience as a research scientist in computer vision, with 1+ years managing teams
• Comfortable managing senior researchers while remaining hands-on in a hybrid research engineering capacity
• High emotional intelligence, with a track record of mentoring and developing other researchers
• Deep interest in productionizing state-of-the-art ML research, having shipped research into product previously
• Strong communication and collaboration skills across research, engineering, and product

If you’re interested in working on the systems that enable next-generation AI models to train faster and run in real time, this is a rare opportunity to operate at the cutting edge of research and infrastructure.

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Title: Senior AI Product Engineer
Location: San Francisco, CA (Hybrid)
Compensation: Up to $260,000 + Equity

We’re partnered with a high-growth, mission-driven SaaS company transforming how businesses build and maintain trust, with AI at the core of their next phase of innovation. The platform is redefining how critical enterprise workflows are automated, particularly in areas where reliability, auditability, and security are essential.

This is a high-impact role where you’ll help define how AI feels to the customer, not just how it’s built. You won’t own backend infrastructure, instead, you’ll make foundational decisions about how LLMs, agents, and RAG pipelines translate into real product experiences, working across streaming interfaces, agentic workflows, and guided automation in production.

What You’ll Do

• Build AI-powered product features end-to-end, from React/TypeScript UI through Node.js/Python backend, with real-time streaming and human-in-the-loop interaction patterns
• Partner with AI Engineers to define API contracts and output schemas, translating RAG pipelines and agentic workflows into intuitive interactions
• Advocate for the user’s perspective in technical decisions, surfacing where model outputs break down and iterating the product layer accordingly
• Build user-facing feedback loops that capture signal on AI output quality and feed it back to the broader AI team
• Instrument AI features with product-level observability, including latency, engagement, and drop-off, alongside full-stack integration testing
• Establish reusable patterns (streaming hooks, feedback components, AI state management) to accelerate future AI feature development
• Mentor engineers newer to AI product development and contribute to design reviews

Requirements

• 7+ years of software engineering experience with a proven track record shipping full-stack features in production, including 2+ years on AI-powered product features
• Strong proficiency in React and TypeScript, with experience building responsive UIs that handle async, streaming, and real-time data
• Solid Python and Node.js skills, with experience integrating APIs from LLM providers and orchestration frameworks
• Hands-on experience with LLM APIs (OpenAI, Anthropic, etc.), prompt engineering, RAG, evals, and structured outputs in production
• Familiarity with agent frameworks (LangGraph, LangChain, or custom runtimes) and building product surfaces on agentic workflows
• Experience implementing streaming response patterns (SSE, WebSockets, chunked HTTP) and UIs that handle progressive or uncertain outputs
• Strong product sense and a track record of cross-functional collaboration with AI/ML engineers, PMs, and designers

If you’re interested in shaping how AI systems are built, evaluated, and deployed in high-trust environments, this is an opportunity to have direct influence on both technical direction and real-world impact at a fast-growing company.

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About the job

Data Engineer

Redwood City, CA (Hybrid – Tue-Thu onsite)

Base salary up to $150,000 + equity

About the job

We’re partnered with a fast-growing, well-funded technology company transforming the way homes are designed, manufactured, and delivered. As the business scales across manufacturing, operations, and real estate development, they’re looking for a Data Engineer to help build the data infrastructure that powers critical business decisions.

This is an opportunity to join a growing data function as an early team member, owning data pipelines, improving data reliability, and creating visibility across operational systems. You’ll work closely with Engineering, Operations, and business stakeholders to ensure teams have accurate, actionable data to support growth.

The ideal candidate is someone who thrives in a startup environment, enjoys solving varied data challenges, and can balance strong technical execution with effective cross-functional communication.

What you’ll do

• Own and maintain existing data pipelines, ensuring reliability and data quality.
• Build new ETL pipelines to support evolving business and operational needs.
• Improve visibility into manufacturing, inventory, and operational performance through scalable data solutions.
• Partner with stakeholders across Operations, Product, and Business teams to understand data needs and deliver solutions.
• Ensure source systems are accurate and trusted as the company scales.
• Work with transactional databases, operational systems, and external datasets to create valuable insights.
• Help establish best practices around data pipelines, documentation, and analytics infrastructure.
• Ingest and manage publicly available datasets to support business initiatives.

What we’re looking for

• 2-4 years of experience as a Data Engineer, Analytics Engineer, or similar role.
• Strong SQL skills with experience building and optimizing data pipelines.
• Hands-on experience owning ETL workflows and data integrations.
• Experience working in fast-paced environments with broad ownership and changing priorities.
• Strong communication skills with the ability to partner effectively with non-technical stakeholders.
• A generalist mindset with the ability to solve a variety of data challenges.

Nice to have:

• Experience with Python, dbt, Databricks, Spark, or TypeScript.
• Experience working with ERP systems such as NetSuite.
• Background working with operational, manufacturing, supply chain, or transactional data.
• Experience at an early-stage or high-growth company.

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Senior Data Architect – AWS

$170,000-190,000

The ideal candidate brings a combination of deep technical expertise, architectural leadership, and the ability to align technology solutions with evolving business objectives. This role will play a key part in modernizing data ecosystems and driving long-term data strategy.

Key Responsibilities

• Define and maintain current-state and future-state data architecture roadmaps, including migration and modernization strategies.
• Develop architectural recommendations that balance scalability, performance, cost, security, and implementation timelines.
• Partner with stakeholders to align data capabilities with strategic business initiatives and operational goals.
• Design and implement robust data integration frameworks supporting batch, streaming, and event-driven architectures.
• Architect scalable, high-performance data pipelines and distributed data processing solutions within AWS environments.
• Establish enterprise data models, standards, and reference architectures across operational and analytical platforms.
• Evaluate and integrate modern AI and machine learning enablement technologies, including vector-based data solutions, retrieval frameworks, and large language model architectures.
• Promote automation, infrastructure-as-code, CI/CD, and reusable engineering patterns to improve efficiency and consistency.
• Lead data governance, metadata management, data quality, and security initiatives throughout the data lifecycle.
• Provide technical leadership, mentorship, and architectural guidance to engineering and data teams.
• Collaborate across technology and business functions to drive innovation and continuous improvement.

Required Qualifications

• Bachelor’s degree in Information Systems, Computer Science, Data Analytics, Engineering, or a related discipline.
• 15+ years of experience in data architecture, data engineering, or enterprise data management.
• Extensive experience designing and implementing cloud-based data platforms, preferably within AWS.
• Strong background in enterprise data modeling, data integration, and data architecture frameworks.
• Experience with large-scale data warehouse, data lake, or lakehouse architectures.
• Expertise in streaming and event-driven technologies, including Apache Kafka or similar platforms.
• Knowledge of modern AI-enabled data architectures, including vector databases, retrieval mechanisms, and generative AI implementations.
• Experience establishing enterprise standards, governance frameworks, and data quality practices.
• Proven ability to lead technical strategy and influence cross-functional stakeholders.
• TOGAF certification or equivalent enterprise architecture framework experience preferred.

Preferred Technical Skills

• AWS data and analytics services
• Cloud-native architecture and modernization
• Data lakes, lakehouses, and data warehouses
• Apache Kafka and streaming technologies
• Data modeling and metadata management
• Data governance and security frameworks
• Infrastructure as Code (IaC)
• CI/CD and DevOps practices
• Generative AI, RAG, vector databases, and orchestration frameworks
• Enterprise architecture methodologies

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BI Developer

Up to £40,000

Hybrid – West Midlands (4x days per week)

Looking for an opportunity to make a real impact in a growing data function? This Power BI Developer role offers the chance to work on a major reporting transformation, helping to shape how data is used across the business. You’ll join a collaborative team, gain exposure to Microsoft Fabric, and play a key role in delivering high-quality insights to stakeholders.

The Company

They are a well-established UK business with a large customer base and a broad product portfolio. Following significant investment in technology and a recent ERP implementation, they are continuing to modernise their data and reporting capabilities. Data is a key strategic focus, and this role sits within a growing Business Transformation team dedicated to improving decision-making across the organisation.

The Role

You will work alongside experienced data professionals to develop reporting solutions and support the evolution of a modern data platform.

Responsibilities include:

• Designing, developing and maintaining Power BI dashboards, reports and data models
• Creating DAX measures, visualisations and row-level security solutions
• Contributing to the development of a new Microsoft Fabric data platform
• Delivering ad hoc analysis and actionable insights for business stakeholders
• Validating data, documenting assumptions and supporting reporting quality improvements
• Working closely with stakeholders to translate business requirements into effective reporting solutions
• Supporting the wider data transformation programme through accurate and timely reporting

Your Skills & Experience

• Strong commercial experience developing reports and dashboards in Power BI
• Solid SQL skills for querying and analysing data
• Experience writing and optimising DAX measures
• Advanced Excel skills
• Ability to communicate technical concepts clearly to non-technical audiences
• Strong organisational skills with the ability to manage multiple priorities
• A detail-oriented approach to data validation and reporting accuracy

Desirable experience:

• Exposure to Microsoft Fabric
• Experience within wholesale, distribution or a similar operational environment
• Power BI certification (PL-300)
• Microsoft Fabric certifications such as DP-600 or DP-700

What They Offer

• Salary up to £40,000
• Competitive benefits package
• Exposure to Microsoft Fabric and modern data te

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Senior Subscriber Growth Analyst
London – hybrid 4x in office a week
Up to £70,000

This is an excellent opportunity to join a leading global consumer subscription business at a pivotal stage of growth. Working within a high-profile analytics function, you will help shape subscriber strategy across the EMEA region, delivering insights that directly influence commercial decision-making, customer growth, and retention.

The Company
They are a globally recognised entertainment and consumer subscription organisation with millions of customers across international markets. With continued investment in data, analytics, and AI-driven decision-making, analytics plays a central role in driving business performance.

The organisation has built a collaborative analytics environment where teams partner closely with commercial, marketing, content, and regional stakeholders to solve complex business challenges. This role sits within a specialist Subscriber Growth Analytics team focused on understanding customer behaviour and accelerating growth across EMEA.

The Role
As a Senior Subscriber Growth Analyst, you will use data to understand customer acquisition, retention, engagement, and lifetime value, helping senior leaders make informed commercial decisions.

Key responsibilities include:

• Delivering subscriber growth and retention analysis across the EMEA region
• Providing commercial recommendations to support acquisition, engagement, and customer lifetime value initiatives
• Building and maintaining dashboards, reports, and visualisations to monitor key business performance metrics
• Presenting insights and recommendations to senior stakeholders across multiple functions
• Designing analytical frameworks and measurement approaches to evaluate business performance
• Partnering with analytics, marketing, content, and regional teams to align priorities and deliver impactful analysis
• Supporting the development of a data-led culture through clear communication of analytical findings
• Identifying opportunities to improve processes, automation, and analytical workflows

Your Skills & Experience

• Strong SQL skills with experience writing and optimising complex queries
• Commercial customer analytics experience covering acquisition, retention, churn, engagement, and lifetime value
• Experience building dashboards and data visualisations using tools such as Tableau, Power BI, Looker, or similar
• Excellent stakeholder management and communication skills, with the ability to present insights clearly to non-technical audiences
• Strong analytical thinking and the ability to translate data into actionable recommendations
• Comfortable working independently and influencing senior business stakeholders
• Understanding of statistical techniques and experimentation methodologies is advantageous
• Experience with Python or R would be beneficial
• Experience within a subscription, membership, or recurring revenue business is highly desirable
• Interest in leveraging AI to enhance analytics workflows and decision-making is welcomed

What They Offer

• Excellent employee benefits package
• Discounts across a range of products and experiences
• Strong career development opportunities within a growing analytics organisation
• Exposure to senior leadership and high-impact strategic projects across international markets

How to Apply
If you are passionate about customer analytics, subscriber growth, SQL, and using data to influence commercial strategy, apply today to learn more about this Senior Subscriber Growth Analyst opportunity in London.

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Data Engineer

Location: Redwood City, CA (Hybrid – Tuesday, Wednesday, Thursday)

Salary: $120-150k base + Equity

Harnham has partnered with a Series B PropTech startup on a mission to make quality housing more affordable and accessible. Fresh off a new funding round and backed by leading investors, the company is scaling operations and entering new markets. With that growth, their data demands have outpaced the current team, and they now need a dedicated Data Engineer.

The Role

This hire will own the company’s data from end to end: understanding the source systems, building and maintaining the core datasets the business trusts, and turning raw operational data into clear, decision-ready outputs. They will work closely with Finance, Operations, and leadership to keep data accessible and useful as the company grows.

Responsibilities:

• Own the data pipelines: take responsibility for a portfolio of existing production ETL pipelines, handling daily maintenance, monitoring, and reliability so stakeholders can trust the data
• Design and build new pipelines: architect scalable ETL/ELT workflows that ingest data from new sources and grow with increasing data volume and complexity
• Build and own core datasets: design and maintain the sources of truth for business reporting and decision-making
• Master the source systems: ERP, CRM, project management, and finance platforms (NetSuite, Salesforce, and similar operational tools), understanding how data maps to real business processes
• Democratize data access: deliver well-documented, self-service-ready data products for Finance, Ops, and go-to-market teams
• Expand analytical coverage: identify opportunities for new tables, metrics, and derived datasets that unlock insight
• Set the standards: evolve data modeling, testing, documentation, and ownership practices from the ground up

The Ideal Candidate

• 2-4 years as a Data Engineer, building core datasets and supporting business teams
• Proven ETL and data pipeline ownership: experience building, maintaining, and monitoring production pipelines end to end, not just contributing to someone else’s
• Advanced SQL and strong data modeling skills, with experience designing analytical models that support real reporting and analytics use cases
• Hands-on experience shipping scalable cloud data solutions (AWS, Databricks, dbt) across methodologies like dimensional modeling, data marts, or medallion architecture
• Comfort tracing data through source systems and multiple layers of transformation
• A fast learner’s mindset: thrives in environments where priorities evolve and there’s always a new system or domain to pick up

Bonus points for:

• Integrating financial/ERP/CRM/payment systems (NetSuite, Salesforce, or similar)
• Aggregating from diverse sources, including APIs, geospatial imagery, unstructured web data, and public government records
• Exposure to feature engineering, forecasting, or AI-adjacent analytics
• Curiosity about AI tooling. No expertise needed, just a willingness to work smarter with it

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