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Applied AI Engineer
New York City
Private Equity
$250,000 – $300,000 + Competitive Bonus + Carry

Harnham is working with a leading private equity firm, one of the world’s most active investors in the tech space, in building a new AI lab in New York City.

The purpose of this team is simple: value creation by building AI products and embedding directly into portfolio companies.

The AI lab has an impressive founding team and hold a very strong reputation within the AI and Private Equity space.

The lab will have a broad remit and it will be your role to identify new opportunities across the portfolio, scoping out AI builds and shipping production AI systems.

The Role – Applied AI Engineer

You will be:

• Working as a full-stack AI Engineer, owning every aspect of the life-cycle (from architecture and infrastructure to shipping products to customers)
• Shaping how projects are delivered and products are built, driving performance and working closely with C-level execs.
• Providing technical leadership across the business, with a focus on end-to-end AI solutions.

Experience – Applied AI Engineer

You will have:

• 5+ years of commercial experience in a software engineering or AI role
• Experience working end to end in shipping production AI systems to customers
• Strong engineering fundamentals (e.g. Python)
• Hands-on experience with GenAI / LLMs
• A “build first” mentality is essential
• Start-up experience is beneficial, so to experience in enterprise integrations

BENEFITS

Up to $300,000 base salary
Competitive bonus + Carry
The opportunity to join a world-class and growing team

HOW TO APPLY

Please register your interest by sending your CV via the Apply link on this page. For further details or to enquire about other roles, please contact Nick Mandella at Harnham.

KEYWORDS

Python, TypeScript, FastAPI, React, Kubernetes, AWS, AI, Engineer, Production, Software, Private Equity.

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Staff Data Scientist, Finance – Consumption Forecasting

Location: San Francisco or New York | Hybrid (3 days per week in office)

Salary: $240-300k base + bonus + equity (RSUs)

This is a rare chance to own forecasting infrastructure at the center of a high-growth, consumption-based developer platform, one that powers some of the world’s most dynamic applications and scales with every developer and enterprise building on it.

As a consumption-based business, forecasting usage across compute, bandwidth, edge, and storage isn’t a support function. It’s foundational to how we plan infrastructure, revenue, and long-term strategy. This role exists to lead that work at the highest level.

What you’ll own

This is a senior individual contributor role with organization-wide impact. You’ll define forecasting methodology, build systems that scale with a rapidly growing platform, and sit at the intersection of Finance, Infrastructure, Product, and GTM with direct visibility to executive leadership.

• Own production revenue forecasting end-to-end: model development, backtesting, deployment, monitoring, and iteration from first principles to live system
• Build forecasting systems that account for usage-based pricing dynamics, consumption patterns, and customer lifecycle across the platform, built for how this business actually works, not retrofitted SaaS models
• Design hierarchical forecasting models across account, cohort, segment, and global aggregate levels, covering operational, quarterly, and long-range planning cycles
• Establish backtesting, monitoring, and explainability standards that make forecast accuracy transparent and defensible
• Build scenario simulation frameworks to evaluate pricing changes, packaging adjustments, and product launches
• Partner with Finance on board-level reporting, with Infrastructure Engineering on capacity planning, and with Product and GTM on adoption curves and usage drivers
• Set forecasting best practices across the broader Data organization

What we’re looking for

• 7+ years in data science, quantitative analytics, or applied statistics at senior or staff level
• Deep expertise in time-series forecasting and statistical modelling in a usage-based or SaaS environment
• Proven track record building and productionizing ML systems at scale
• Strong Python and SQL, with experience on large-scale usage and billing datasets
• Familiarity with probabilistic modelling, hierarchical forecasting, and causal inference
• Experience partnering with Finance or executive leadership on planning cycles
• Comfortable operating autonomously in fast-moving, ambiguous environments

Nice to have

• Background in cloud infrastructure, developer tools, or consumption-based revenue models
• Familiarity with modern data stacks: Snowflake, Delta Lake, dbt, Airflow
• Prior technical mentorship or informal leadership experience

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Head of Analytics
London – hybrid 2-3x a week
Up to £160,000 + bonus

This is a senior leadership opportunity to shape a modern, AI-enabling analytics function at a critical point of transformation. Sitting at the centre of the business, this role blends strategic leadership with hands on delivery, giving you real influence over how data, analytics and decisioning drive commercial outcomes.

The Company
They are a well-established, consumer-focused organisation operating in a highly data rich and regulated environment. With a strong focus on responsible decision making and customer outcomes, the business is investing heavily in analytics, automation and AI to support its next phase of growth. Analytics operates as a shared service, partnering closely with senior stakeholders across the organisation.

The Role
You will lead a centralised Analytics and MI function that supports multiple business areas, operating as an internal consultancy.
Key responsibilities include:

• Leading and developing a high performing analytics team, including managers and analysts, with a strong focus on commercial impact.
• Driving the shift from descriptive reporting to actionable, insight led analytics that influences senior decision making.
• Embedding AI and advanced analytics tools into day to day workflows to improve speed, quality and scalability of insight.
• Overseeing scalable data and reporting infrastructure, including automated reporting and governed gold layer datasets.
• Line managing a Decision Engine Manager and overseeing the migration to a new decisioning platform.
• Managing and prioritising a shared analytics workstack across finance, marketing and executive stakeholders.

Your Skills and Experience
To be successful, you will bring:

• Strong leadership experience within analytics or MI in a complex commercial environment.
• A proven ability to translate data into clear, actionable business recommendations for senior stakeholders.
• Hands on technical capability using SQL, with Python experience preferred.
• Experience working with modern data stacks such as Snowflake and Power BI or similar tools.
• Practical experience applying AI tools within analytics, with a clear understanding of benefits, limitations and governance.
• Confidence operating in fast moving environments where structure is evolving.

What They Offer

• High visibility role with direct exposure to executive leadership and clear scope for long term impact and progression.

How to Apply
If you are looking for a senior analytics leadership role with real influence across data, AI and decisioning, apply now to find out more.

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Technical Support Specialist

Netherlands, hybrid working. Salary €3,500 to €4600 per month

This role stands out for its blend of technical depth, customer impact, and long term development. You will join a collaborative support environment where complex challenges are welcomed, learning is encouraged, and your expertise directly helps organisations rely on stable, well integrated software solutions.

The Company

They are a growing software organisation delivering business critical applications to professional services and regulated environments. Their technology supports day to day operations by improving access to information, system reliability, and overall quality. The culture is open, informal, and focused on teamwork, with a strong emphasis on personal growth and knowledge sharing.

The Role

As a Technical Support Specialist, you will be a key part of a multi disciplinary support team providing advanced technical assistance and contributing to continuous product improvement. Your responsibilities will include:

• Handling complex technical support incidents through a ticketing system.
• Investigating issues related to integrations, APIs, authentication, and cloud environments.
• Supporting application and system management across internal and customer platforms.
• Contributing to customer projects such as system integrations and tailored service requests.
• Sharing customer insights with development and product teams to improve solutions.
• Working closely with colleagues while also taking ownership of issues independently.

Your Skills and Experience

To succeed in this role, you will bring:

• Strong commercial experience in technical support or application support.
• Working knowledge of SQL, REST APIs, and cloud platforms such as Microsoft Azure.
• Confidence troubleshooting integrations, data issues, and system behaviour.
• An interest in software development and the ability to quickly understand new applications.
• Clear communication skills and a customer focused mindset.
• Professional fluency in Dutch, with English capability beneficial.

What They Offer

In return, they offer:

• A competitive monthly salary between €3,500 and €5,000, with room for progression.
• Flexible working hours and the option to work partly from home.
• A home working allowance and support for your home office setup.
• Generous holiday allowance with the option to purchase additional leave.
• Profit sharing and a strong pension scheme.
• Structured onboarding, mentoring, and access to ongoing training and development.

How to Apply

If you are looking for a technical support role where your skills make a real difference and your development is taken seriously, apply now to learn more.

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HEAD OF ENGINEERING
Remote (UK)
up to £130,000

HEAD OF ENGINEERING
This is a great opportunity to join a high‑growth organisation where you can take ownership of the Engineering function and play a critical role in scaling a sophisticated AI‑driven platform used by leading pharmaceutical companies.

THE COMPANY:

This business is operating at the intersection of AI, data science and pharmaceutical R&D with a mission is to make discoveries faster, smarter and more efficient.

THE ROLE:

You will take ownership of the Engineering function, providing leadership across technical delivery, people management and engineering operations. Key responsibilities include:

• Leading and scaling the Engineering team as the business grows
• Establishing strong engineering processes, standards and ways of working
• Providing architectural oversight and technical direction across the platform
• Ensuring high‑quality, on‑time delivery of complex, enterprise‑grade projects
• Developing, mentoring and supporting senior engineers and technical leaders

YOUR SKILLS AND EXPERIENCE:

You will bring strong capability in:

• Hands‑on engineering leadership within fast‑paced startup environments
• Backend, data engineering or full‑stack systems at scale
• Technical strategy, architecture and long‑term platform design
• Managing and empowering highly capable senior engineers
• Cross‑functional delivery, stakeholder management and prioritisation

THE BENEFITS:

You will receive a salary up to £130,000 depending on experience, along with a comprehensive benefits package. This is a fully remote role within a growing Series A business, offering significant scope for impact, ownership and progression.

HOW TO APPLY:

Please register your interest by sending your CV to Molly Bird via the apply link on this page.

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HEAD OF ENGINEERING
Remote (UK)
up to £130,000

HEAD OF ENGINEERING
This is a great opportunity to join a high‑growth organisation where you can take ownership of the Engineering function and play a critical role in scaling a sophisticated AI‑driven platform used by leading pharmaceutical companies.

THE COMPANY:

This business is operating at the intersection of AI, data science and pharmaceutical R&D with a mission is to make discoveries faster, smarter and more efficient.

THE ROLE:

You will take ownership of the Engineering function, providing leadership across technical delivery, people management and engineering operations. Key responsibilities include:

• Leading and scaling the Engineering team as the business grows
• Establishing strong engineering processes, standards and ways of working
• Providing architectural oversight and technical direction across the platform
• Ensuring high‑quality, on‑time delivery of complex, enterprise‑grade projects
• Developing, mentoring and supporting senior engineers and technical leaders

YOUR SKILLS AND EXPERIENCE:

You will bring strong capability in:

• Hands‑on engineering leadership within fast‑paced startup environments
• Backend, data engineering or full‑stack systems at scale
• Technical strategy, architecture and long‑term platform design
• Managing and empowering highly capable senior engineers
• Cross‑functional delivery, stakeholder management and prioritisation

THE BENEFITS:

You will receive a salary up to £130,000 depending on experience, along with a comprehensive benefits package. This is a fully remote role within a growing Series A business, offering significant scope for impact, ownership and progression.

HOW TO APPLY:

Please register your interest by sending your CV to Molly Bird via the apply link on this page.

To Apply for this Job Click Here

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Forward Deployed AI Engineer – Fully Remote

This is a rare opportunity to join an early stage, AI first biotech platform where you will sit at the intersection of advanced engineering and real world scientific impact. You will work directly with customers, deploying cutting edge AI into live research environments and helping teams accelerate how new drugs are discovered and developed.

The Role

• Act as a forward deployed engineer, working closely with client teams to design, build and deploy AI driven solutions on the platform
• Translate complex research and business questions into production ready LLM and RAG workflows
• Debug, optimise and scale LLM applications in real world, client facing environments
• Build and integrate data pipelines and services across cloud platforms and modern data stacks
• Collaborate with non technical stakeholders, clearly explaining platform capabilities and guiding them through best practice usage
• Feed learnings from deployments back into product and engineering teams to shape the roadmap

Your Skills and Experience

• Strong commercial engineering experience in AI, machine learning or data focused roles
• Hands on experience with retrieval augmented generation and production LLM workflows
• Confidence debugging and improving end to end LLM systems in live environments
• Experience working with modern data infrastructure such as Snowflake, BigQuery or Redshift
• Familiarity with graph databases and knowledge graphs, for example Neo4j, is highly desirable
• Comfortable in client facing environments, with the ability to work closely with non technical stakeholders
• Background in consultancy, product led organisations or start ups working closely with end users is beneficial
• No prior biotech experience required, but curiosity and the ability to learn complex domains quickly is essential

To Apply for this Job Click Here

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DATA PRODUCT MANAGER

UP TO £80,000

LIVERPOOL STREET, LONDON

OVERVIEW

We are hiring a Data Product Manager to join a fast-growing, PE-backed telecommunications business undergoing a major data transformation.

This is a high-visibility role focused on shaping and delivering data products that support commercial growth, analytics enablement, real-time data, and AI use cases across multiple markets.

THE COMPANY

Our client is a rapidly scaling telecommunications business with significant investment in Digital, Data, and Analytics.

The data function is mature, highly regarded, and central to future growth. The business is investing in a modern data platform, including next-generation data lake capabilities, real-time analytics, AI-enabled use cases, and improved self-service reporting.

RESPONSIBILITIES

• Own the end-to-end lifecycle of data products, from discovery to delivery and iteration
• Define and manage the data product roadmap
• Act as the link between business stakeholders, data engineering, analytics, and technology teams
• Translate commercial and technical requirements into scalable data solutions
• Support delivery of modern data platform initiatives, including real-time data capabilities
• Enable analytics and market teams to self-serve data more effectively
• Support use cases across customer insight, churn, ARPU, profitability, and network optimisation
• Communicate product updates, priorities, and roadmap progress to stakeholders
• Support incident management and platform-related administration where required

SKILLS AND EXPERIENCE

• 3-5 years’ experience in data-focused roles
• Strong hands-on experience with Databricks
• Experience with modern data platforms such as Synapse, Snowflake, BigQuery, or Redshift is beneficial
• Background in data product, data engineering, business analysis, analytics, or platform delivery
• Strong understanding of how data platforms support business outcomes
• Excellent communication and stakeholder management skills
• Confident, commercially minded, and able to challenge where needed
• Consultancy or data transformation experience would be highly attractive

To Apply for this Job Click Here

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Forward Deployed Engineer (AI and Knowledge Graphs)

London – UK Remote

The Company
They are a Series A funded AI startup building a platform that brings together vast, fragmented scientific data into an interactive knowledge graph. Their technology maps cause and effect relationships between diseases, proteins and drugs to accelerate drug discovery and research. With strong commercial traction and a growing client base across pharma, biotech and research organisations, they are scaling a small, highly collaborative team across engineering and solutions.

The Role
As a Forward Deployed Engineer, you will work directly with end clients to take the platform from trial through to production deployment, acting as a technical partner throughout the journey. You will balance hands on engineering with customer facing problem solving, translating complex requirements into robust, scalable solutions.
Key responsibilities include:

• Leading technical delivery for customer integrations, from scoping through to production rollout
• Working closely with end users ranging from highly technical teams to more non technical stakeholders
• Designing and building AI driven workflows, including LLM and retrieval augmented generation use cases
• Integrating knowledge graph data into customer environments using APIs, graph databases or analytical platforms
• Partnering with a solutions consultant who brings deep industry expertise, while you own technical feasibility and execution
• Feeding recurring customer needs back into the core product to support long term scalability

Your Skills and Experience
You will bring a strong engineering foundation and enjoy working close to customers in fast paced, ambiguous environments.
Key requirements include:

• Strong commercial experience building and deploying AI or LLM powered systems into production
• Hands on experience designing, building and debugging LLM workflows, including familiarity with RAG approaches
• Experience working with modern data platforms and warehouses such as Snowflake or BigQuery
• Exposure to graph databases and knowledge graphs is highly desirable, (Neo4J)
• Comfort working in small teams or startup environments, with a proactive, delivery focused mindset
• Ability to communicate clearly with both technical and non technical stakeholders

What They Offer

• The chance to work on meaningful technology with real impact on healthcare and drug discovery
• A small, collaborative team environment with direct access to senior leadership
• Genuine flexibility around location and working style
• Strong scope for career growth as the company scales

How to Apply
If you are excited by customer facing engineering, applied AI and working in a high impact startup environment, apply now to learn more about this opportunity.

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Lead Product Analyst

London (Hybrid)
Up to £100,000 + Benefits

I am recruiting for a Lead Product Analyst to join a fast-growing fintech business, working on a multi-product consumer app used by over a million customers.

This is a high-impact role where you’ll play a key part in shaping product strategy through data, working closely with product, growth, and engineering teams to improve user experience and drive performance.

The Role

• Lead product analytics across a large-scale consumer app
• Analyse user behaviour, engagement, and lifecycle trends
• Own the end-to-end experimentation process (A/B testing)
• Build dashboards, metrics, and reporting frameworks
• Identify growth opportunities and product improvements
• Partner with product and engineering teams to influence decision-making
• Translate complex analysis into clear, actionable insights

What They’re Looking For

• 5+ years’ experience in data or product analytics
• Strong experience with experimentation (A/B testing, hypothesis testing)
• Ability to turn complex data into clear business recommendations
• Experience working in product-led or high-growth environments
• Strong stakeholder management and communication skills
• Exposure to fintech or consumer apps (nice to have)

Benefits

• Competitive salary
• Hybrid working
• High-impact, strategic role
• Opportunity to shape product direction at scale
• Collaborative, fast-paced environment

How to Apply

Please send your CV to Keji Adebari via the Apply link or message me directly

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