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Head of AI | Remote, US (Eastern and Central states only) | $250,000 to $325,000 base + equity

Lead the AI function at a company whose core product is document intelligence: turning complex, high-stakes financial documents into accurate, structured data at scale. The mandate is clear: make this product the best in its market.

The Company
A Series C, AI-native fintech bringing public-market data infrastructure to private markets. Its SaaS platform automates document and data operations for private market investors, accounting firms and institutional investors, combining proprietary models with frontier LLMs. Recent investment was made on the strength of its AI-first approach, and AI is now central to the company’s next phase of growth.

The Role

• Assess the current product and ML stack, then drive measurable improvements in accuracy and reliability.
• Lead and grow a team of four across ML engineering, MLOps and data engineering.
• Stay hands-on as a player-coach, working several layers deep on architecture and model development.
• Build a roadmap with a co-founder covering ML best practice, process and the wider AI strategy.
• Balance frontier LLMs with in-house models and infrastructure, prioritising accuracy, determinism and efficiency.
• Advise the board on new AI products and capabilities for clients.

What We’re Looking For

• 8 to 12+ years of industry experience, including 3 to 5 years leading ML, AI or data science teams.
• Deep expertise in NLP and document intelligence: parsing, classification, entity extraction, OCR, layout understanding and document-to-JSON transformation.
• Hands-on model development in Python with PyTorch, Hugging Face and scikit-learn.
• A track record of taking an ML product from 0 to 1 in a SaaS environment, including inference serving, latency and in-product feedback loops.
• Production deployment experience with Docker, Kubernetes and Azure, and ownership of the full ML lifecycle.
• Nice to have: a Master’s or PhD in CS, ML, Applied Mathematics or a related field, and SaaS experience in finance, retail or consumer tech.

What’s On Offer

• $250,000 to $325,000 base plus equity.
• Fully remote within Eastern and Central US states.
• A direct reporting line to a co-founder, with board-level exposure.
• The chance to build and shape the team and its practices.
• No Visa Sponsorship

How to Apply
Apply via the link or contact Tom Brammer at Harnham.

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Data Engineer
London | £50,000 – £55,000 + Benefits
This is an opportunity to join a highly data-driven organisation where data sits at the heart of decision-making and operational success. You’ll play a key role in designing and building data infrastructure from the ground up, driving automation, and enabling business-wide access to reliable, high-quality data.
The Company
They are a well-established organisation with a strong digital focus and a culture of continuous improvement. Data is a core part of their strategy, supporting commercial performance, operational efficiency, and innovation across the business. They are investing in their technology and data capabilities and are looking for a Data Engineer who enjoys solving complex problems and building scalable solutions. You’ll work closely with stakeholders across multiple departments, giving you excellent exposure and influence.
The Role
You will be responsible for designing, building, and enhancing data platforms, pipelines, and automation solutions across the business.
Responsibilities include:

• Design and build SQL Server databases, including schema design, tables, views, stored procedures, and indexing
• Develop end-to-end data ingestion pipelines from APIs, third-party platforms, and operational systems
• Maintain and optimise existing ETL processes and data workflows
• Build and support Python-based automations and integrations
• Develop API-driven data solutions to improve data accessibility and operational efficiency
• Support and enhance reporting and dashboarding capabilities using tools such as Tableau or Power BI
• Partner with stakeholders across the business to deliver data solutions and solve operational challenges
• Ensure data quality, integrity, reliability, and performance across all systems
• Contribute to data structures and platforms that support advanced analytics and machine learning initiatives

Your Skills & Experience

• Strong commercial experience with SQL Server and relational database design
• Expertise in writing complex SQL queries, stored procedures, and optimising database performance
• Experience developing and maintaining ETL workflows, including SSIS
• Experience building data pipelines and integrating data from multiple sources
• Strong Python skills for automation, integrations, and data processing
• Experience working with REST APIs and system integrations
• Exposure to Microsoft Azure and cloud-based data environments
• Experience with data visualisation platforms such as Tableau or Power BI
• A proactive approach to improving systems, processes, and data quality
• Strong communication skills with the ability to work effectively with both technical and non-technical stakeholders

What They Offer

• Opportunity to shape and influence a growing data function
• Exposure to a broad range of technologies and business challenges
• Collaborative and supportive working environment
• Strong opportunities for professional development and career progression

How to Apply
If you’re a Data Engineer looking for an opportunity to build scalable data solutions, drive automation, and make a measurable business impact, apply today.

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Senior Digital Analyst
Watford – hybrid 3x a week

This is an exciting opportunity to join a business investing heavily in digital growth, analytics innovation, and customer experience transformation. You’ll work on high-profile digital products, influence commercial decision-making, and help shape how digital performance is measured across a large-scale consumer environment.

The Company
They are a well-established consumer-focused organisation undergoing significant digital transformation. Digital channels have been identified as a key strategic growth area, with substantial investment in customer journeys, product innovation, payments, and analytics capabilities.

Operating within a collaborative and fast-paced environment, the business combines the resources of a large organisation with the agility of a modern digital team. Analytics plays a central role in driving commercial outcomes, customer experience improvements, and strategic decision-making.

The Role
As a Senior Digital Analyst, you will partner with stakeholders across Digital, Product, Marketing, Acquisition, and Data teams to deliver insight and performance measurement across key customer journeys.

Responsibilities include:

• Delivering analysis and insight on digital customer journeys to identify opportunities for growth and optimisation
• Building and enhancing dashboards and self-service reporting solutions
• Translating complex data into clear, actionable commercial recommendations
• Measuring the impact of digital initiatives, products, and customer experiences
• Supporting experimentation and CRO programmes through analysis and performance evaluation
• Developing measurement frameworks that connect customer behaviour with commercial and financial outcomes
• Working closely with technical and development teams to ensure accurate and effective data collection
• Driving reporting improvements and promoting data democratisation across the organisation
• Exploring AI and automation tools to improve analytical efficiency and workflows
• Contributing to a project-led analytics environment focused on business impact rather than routine reporting

Your Skills & Experience
You will ideally bring:

• Strong experience in Digital Analytics within a commercial environment
• Advanced SQL skills, including complex querying and working with large datasets
• Experience analysing web and app customer behaviour and connecting insights to business outcomes
• A background delivering both ad hoc analysis and automated reporting solutions
• Experience building dashboards and presenting insight to senior stakeholders
• Knowledge of CRO, experimentation, and customer journey optimisation
• Familiarity with web analytics platforms such as Adobe Analytics, Google Analytics, Piano Analytics, or similar
• Experience working with cloud data platforms such as Snowflake or equivalent
• Exposure to Python or R would be advantageous
• Understanding of tagging and digital measurement frameworks, without requiring hands-on implementation expertise
• Interest in leveraging AI tools and automation to enhance analytics workflows

What They Offer

• Exposure to large-scale digital products and high-impact transformation programmes
• Opportunity to work closely with Product, Commercial, Marketing, and Data leadership teams
• Clear opportunity to influence analytics strategy and digital performance measurement

How to Apply
To find out more about this Senior Digital Analyst opportunity or discuss your suitability, please apply with your CV today.

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SENIOR/STAFF/PRINCIPAL PRODUCT ENGINEER – FULL STACK

SAN FRANCISCO, CA (ONSITE – 5 DAYS/WEEK)

$175,000 – $300,000 + EQUITY + BENEFITS

The Opportunity

We’re partnering with a high-growth, AI native technology company to hire a Staff/Principal Product Engineer with strong TypeScript, Node.js, and full-stack engineering experience to help build and scale an innovative AI-powered platform.

The company is transforming their industry by automating manual workflows for their enterprise clients. This is a hands-on senior IC opportunity with significant ownership over product development, technical execution, and customer experience.

The Engineering Environment

• Full-stack application development leveraging TypeScript and Node.js
• Building intelligent AI solutions to streamline complex business processes
• Developing scalable platforms and intuitive user-facing products
• Working with large datasets, document processing, and enterprise integrations
• Collaborative startup setting with a small, highly experienced engineering team

What You’ll Be Working On

• Engineer new features across the frontend and backend of the platform
• Create and improve AI-driven tools that automate manual workflows
• Lead feature development from initial design through production launch
• Partner with customers to identify challenges and deliver product enhancements
• Improve system efficiency, reliability, and overall application performance

What We’re Looking For

• 6+ years of hands-on software engineering experience
• Strong TypeScript skills with practical Node.js experience
• Track record of delivering successful, customer-facing software products
• Experience launching products or features from the ground up in 0-to-1 environments
• Excellent communication skills and ability to excel in fast-moving startup teams

Why This Role

• Join an emerging AI company experiencing significant enterprise adoption
• Build technology that modernizes and improves a large, established industry
• Influence product strategy and have meaningful technical ownership
• Collaborate closely with founders and senior engineering leaders
• Competitive salary, equity participation, and comprehensive benefits

This is an opportunity for a product-minded engineer who enjoys building from the ground up, taking ownership, and solving real customer problems through technology.

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SENIOR DATA ENGINEER

£85,000 + BONUS + BENEFITS

LONDON (HYBRID)

Our client is looking for someone to help build a modern cloud data platform that supports their extensive growth plans.

THE COMPANY

A business going through an exciting period of growth, the business uses data and technology to optimise pharmaceutical sourcing and supply chains.

THE ROLE

• Build and enhance scalable data pipelines using Snowflake, dbt, Airflow and Python.
• Improve platform reliability, testing, monitoring and CI/CD processes.
• Partner with Analytics, Data Science and Engineering teams to deliver data solutions.
• Engage with stakeholders to understand requirements and drive business value.

YOUR SKILLS AND EXPERIENCE

• 4+ years’ experience in Data Engineering with Strong SQL and Python skills
• Experience with Snowflake, dbt and Airflow (or similar tools)
• Exposure to CI/CD, automated testing and cloud data platforms
• Strong communication and stakeholder management skills
• Databricks/PySpark experience would be advantageous

SALARY AND BENEFITS

• £85K base salary
• Annual bonus
• Pension Contribution
• Private healthcare
• Additional employee benefits

HOW TO APPLY

Please register your interest by sending your CV to Ross McEwan through the Apply link.

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They are a research and analytics consultancy that delivers insight to organisations across the public, private, and not-for-profit sectors. Their work combines research, analytics, and technology to help clients understand people, markets, and communities. The business is continuing to grow and is investing in senior talent to support both client delivery and commercial development.
The Role
You will:

• Lead strategic client relationships and act as a senior point of contact
• Manage and grow existing accounts by identifying new opportunities
• Prepare proposals and responses to research briefs and RFPs
• Oversee the delivery of quantitative and qualitative research projects
• Review analysis, reports, and presentations before client delivery
• Ensure projects are delivered to agreed quality, budget, and timeline requirements
• Support project teams by managing risks and resolving delivery challenges
• Coach and develop Research Managers and consultants
• Work with internal teams to improve processes and the use of technology and AI tools

Your Skills & Experience

• Strong experience leading research, insight, or analytics projects
• Quantitative research expertise with experience overseeing full project lifecycles
• Ability to translate data into clear recommendations for stakeholders
• Experience managing client relationships and growing accounts
• Track record of developing proposals and responding to complex briefs or RFPs
• Strong project management and organisational skills
• Experience managing and developing researchers or consultants
• Commercial awareness and an understanding of project profitability
• Excellent communication and presentation skills
• Interest in improving ways of working through technology and AI

How to Apply
If you are interested in this Associate Director opportunity and have experience in research, insight, or analytics consulting, please apply to find out more.

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Senior Product Engineer
London (Hybrid, 3 days)

Join a well-funded AI startup building a behavioural intelligence platform for financial services. As an early engineering hire, you’ll play a key role in shaping the product, architecture, and engineering culture while working closely with founders and senior leadership.

The Company
They are developing an AI-powered platform that helps organisations better understand customer behaviour and decision-making. With strong early customer traction and enterprise PoCs underway, they are now scaling their product and engineering capability.
The Role

• Build and scale LLM-enabled product features from concept to production
• Design APIs, backend systems, and AI-powered workflows
• Improve model quality through evaluation, monitoring, and guardrails
• Optimise token usage, performance, and cost efficiency
• Collaborate on product strategy, roadmap, and architecture
• Help establish engineering best practices as the team grows

Your Skills & Experience

• Strong product engineering background
• Experience building and launching an LLM-powered product
• Backend expertise, ideally with Node.js and TypeScript
• Experience with APIs, cloud infrastructure, and scalable systems
• Comfortable operating with autonomy in an early-stage environment
• Strong communication and stakeholder management skills

What They Offer

• £115,000 to £140,000 base salary
• Meaningful equity package
• Hybrid working in London
• Significant ownership and autonomy
• Opportunity to shape a product and engineering function from an early stage

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AI/ML Engineer

Amsterdam, Netherlands

78,000 + Benefits

This is an opportunity to join a growing AI and Data function where you’ll help move AI use cases from concept into production, delivering measurable business impact. You’ll work across the full solution lifecycle, combining software engineering, machine learning, data integration, and modern AI technologies to build products that solve real business challenges.

The Company

Our client is a well-established international organisation investing heavily in AI, data, and digital innovation. They are focused on building scalable AI-powered products that enhance customer experiences and improve operational efficiency. The business combines the stability of an established organisation with the agility and ambition of a modern technology-focused environment. AI is a strategic priority, offering the opportunity to work on impactful initiatives with strong visibility across the organisation.

The Role

As an AI/ML Engineer, you will design, develop, and deploy production-grade AI solutions that deliver tangible business value.

Responsibilities include:

• Building and scaling AI-powered applications and backend services using Python
• Developing AI assistants, agent workflows, and orchestration frameworks using modern LLM technologies
• Translating business requirements into reliable, secure, and production-ready AI solutions
• Integrating enterprise data sources into AI products and services
• Collaborating with data, engineering, and business stakeholders to deliver end-to-end solutions
• Creating reusable components, tools, and frameworks to accelerate future AI development
• Developing and maintaining automated testing and evaluation frameworks for AI applications
• Supporting containerised deployments, CI/CD pipelines, and operational best practices
• Monitoring solution performance and driving continuous improvement after deployment
• Ensuring solutions align with security, privacy, and responsible AI standards

Your Skills & Experience

• Strong commercial experience building production-grade applications in Python
• Expertise with FastAPI, Pydantic, and API-based architectures
• Experience developing LLM-powered applications using technologies such as OpenAI, LangChain, and LangGraph
• Strong understanding of prompt engineering, agent orchestration, tool calling, and structured outputs
• Experience working with Databricks, SQL, data pipelines, and enterprise data integration
• Knowledge of automated testing and quality assurance practices for AI applications
• Experience with Docker, Azure DevOps, CI/CD, and cloud-based environments
• Understanding of software engineering best practices, including maintainability, observability, and scalability
• Ability to work effectively with both technical and non-technical stakeholders
• A collaborative mindset and passion for delivering high-quality AI products

What They Offer

• €78,000 base salary depending on experience
• Annual bonus and comprehensive benefits package
• Hybrid working environment
• Exposure to cutting-edge AI and machine learning technologies
• Opportunity to work on high-impact, enterprise-scale AI initiatives
• Strong career progression within a growing AI and Data function
• Collaborative and innovative technology culture

How to Apply

If you’re an AI/ML Engineer looking to build and scale production AI solutions in a forward-thinking environment, apply today to learn more about this opportunity.

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Head of Data Engineering

Amsterdam, Netherlands (Hybrid) | €110,000 – €150,000 + Bonus + Benefits

This is a rare opportunity to take ownership of a business-critical data transformation programme at a leadership level. As Head of Data Engineering, you will lead the build-out of a modern data platform, shape engineering standards, and develop a high-performing team while working closely with senior stakeholders to deliver long-term business value.

The Company

They are a growing, data-driven organisation investing heavily in their data and AI capabilities. With a clear roadmap and strong executive sponsorship, they are modernising their data estate and building a scalable platform to support analytics, AI, and business decision-making.

The organisation is moving from strategy into execution and is seeking an experienced data engineering leader to define best practices, drive delivery, and build a team capable of supporting ambitious growth plans.

The Role

You will lead the Data Engineering function, combining people leadership, technical oversight, and strategic delivery.

Responsibilities include:

• Building, leading, and mentoring a team of Data Engineers, Analytics Engineers, and Platform Engineers
• Defining and executing the data engineering roadmap in partnership with senior leadership
• Driving delivery across platform development, data migrations, and modernisation initiatives
• Establishing engineering standards covering code quality, CI/CD, testing, documentation, and operational excellence
• Overseeing architecture decisions to ensure scalable, reliable, and secure data solutions
• Developing cloud-based data platforms that support analytics, reporting, and AI use case
• Managing stakeholder relationships across technology, product, analytics, and business teams
• Ensuring platform reliability through monitoring, incident management, and operational governance
• Supporting hiring, team development, and succession planning within the engineering function
• Championing best practices across Data Engineering, DataOps, and platform operations

Your Skills & Experience

• Strong commercial experience leading Data Engineering teams and delivering large-scale data platform programmes
• Expertise with modern cloud data platforms such as Snowflake, Databricks, Azure, AWS, or Google Cloud
• Strong understanding of data warehousing, data modelling, ETL/ELT pipelines, and orchestration tools
• Experience building and scaling engineering teams while maintaining high technical standards
• Ability to lead architectural discussions and make informed technical decisions
• Experience implementing CI/CD, automation, testing, and DataOps best practices
• Strong stakeholder management skills with the ability to translate business requirements into technical delivery plans
• Experience delivering complex transformation programmes, including migrations, consolidations, or greenfield platform builds
• Familiarity with governance, security, and compliance requirements within enterprise environments
• A hands-on leadership style with the ability to support technical teams when needed

What They Offer

• Salary between €110,000 and €150,000 depending on experience
• Performance-related bonus
• Comprehensive benefits package
• Flexible and hybrid working arrangements
• Opportunity to shape and scale an entire Data Engineering function
• Significant exposure to senior leadership and strategic decision-making
• Clear progression towards Director-level and broader Data & AI leadership responsibilities
• The chance to influence the organisation’s long-term data and AI strategy

How to Apply

If you’re an experienced Data Engineering leader looking to build teams, drive platform transformation, and make a lasting impact, apply today to discuss this opportunity in more detail.

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Senior Manager, Data & Analytics

Base salary: $165,000 – $200,000

Bonus: Included

Hybrid (2 days per week in office)

Overview

We are partnering with a data-driven consumer business seeking a Senior Manager, Data & Analytics to lead a multidisciplinary data team and act as a strategic partner to senior leadership.

This is a highly visible leadership position combining team management, stakeholder engagement, analytics, business intelligence, and data strategy. The successful candidate will help shape how data is used across the organisation, driving better decision-making through actionable insights and scalable analytical capabilities.

This role would suit an experienced analytics leader who enjoys operating in a player-coach capacity, balancing strategic leadership with hands-on involvement where needed.

The Opportunity

You will lead a small team spanning multiple data disciplines and serve as the primary point of contact for data and analytics across the business.

The role requires someone who can translate complex business questions into analytical solutions, influence senior stakeholders through evidence-based recommendations, and build a high-performing data function that supports commercial growth and operational effectiveness.

Success in this position will come from the ability to combine strong leadership, commercial acumen, analytical thinking, and technical credibility.

Key Responsibilities

Leadership & Team Development

• Lead, mentor, and develop a multidisciplinary team covering analytics, business intelligence, reporting, and data management.
• Establish clear ownership, priorities, and accountability across the team.
• Foster a culture of continuous improvement, collaboration, and delivery excellence.
• Act as a player-coach, providing guidance while remaining close enough to the work to unblock challenges and support key initiatives.

Business Partnership

• Partner directly with senior business stakeholders to understand priorities and strategic objectives.
• Translate business needs into actionable data and analytics initiatives.
• Provide thought leadership and challenge assumptions through data-driven insights.
• Influence decision-making through effective communication and storytelling.

Analytics & Insights

• Drive analysis across customer, commercial, operational, and financial performance.
• Identify opportunities, risks, trends, and areas for improvement.
• Deliver meaningful recommendations that lead to measurable business outcomes.
• Establish and evolve KPI frameworks that support organisational performance.

Data & Reporting

• Oversee reporting, data quality, governance, and analytical processes.
• Partner closely with technical teams to ensure scalable and sustainable data solutions.
• Improve analytics capabilities, reporting structures, and business visibility into performance.

Innovation & Emerging Technologies

• Support adoption of modern analytical approaches, including AI-enabled tooling and predictive analytics where appropriate.
• Identify opportunities to improve efficiency, scalability, and decision-making through technology.

Required Experience

• 6+ years of experience in Analytics, Business Intelligence, Data Science, or related disciplines.
• Previous people leadership experience, including team development and performance management.
• Experience leading broad data functions rather than a single specialist discipline.
• A proven track record of partnering with senior stakeholders and influencing decisions.
• Experience working within fast-paced, data-rich business environments.

Technical Requirements

• Advanced SQL proficiency.
• Strong experience with modern BI and visualisation platforms such as Looker, Omni, Tableau, Power BI, or similar.
• Understanding of data pipelines, data transformation processes, reporting environments, and data quality principles.
• Ability to collaborate effectively with technical and engineering teams.

Preferred

• Snowflake
• dbt
• Python
• Predictive analytics
• MLOps exposure
• AI-enabled analytics tooling

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Director of AI

Salary: Up to $275,000pa

Location: Remote, US

Function: Artificial Intelligence / Engineering

Level: Director

The Opportunity

We’re partnering with a global, technology-led organization undergoing a major data and AI transformation to hire a Director of AI.

The business operates at significant global scale, serving thousands of customers across 60+ countries, but its AI function is intentionally being built as a small, highly capable team. This is an opportunity to have genuine influence over how AI is deployed across an established organization without inheriting a large, slow-moving structure.

The mandate is ambitious: build AI into both customer-facing products and the way the organization operates internally, with a particular focus on intelligent agents capable of executing real business processes end-to-end.

This is not an AI strategy role where you sit above the technology. You’ll be expected to remain technically credible and hands-on, working alongside engineers on architecture and design while simultaneously setting direction, influencing executives and building the AI function.

What You’ll Own

You’ll partner closely with senior technology leadership to define and execute the company’s AI strategy, including:

• Agentic AI: Design and scale intelligent agents capable of executing complex business processes, including tool access, context management, control flow, error recovery, guardrails and human-in-the-loop decision making.
• AI platforms & architecture: Establish the frameworks, reference architectures and engineering standards that future AI capabilities will be built upon.
• Production AI: Own approaches around RAG, model selection, MCP/A2A integrations, evaluations, regression testing and moving AI systems successfully from pilot into production.
• Customer-facing AI: Build increasingly sophisticated AI capabilities into external products, including intelligent insights and recommendations.
• Operational automation: Identify high-value opportunities where AI can reduce repetitive service work and improve both efficiency and customer experience.
• AI economics: Make informed decisions around model selection, inference costs, model routing, self-hosting and build-versus-buy.
• Governance & security: Ensure AI systems operate within enterprise security, privacy and regulatory requirements, including preparation for the EU AI Act and ISO/IEC 42001.
• AI adoption: Help the wider organization understand how to use AI effectively through education, internal tools and change management.
• Team building: Initially work with a small contractor group before building a focused team of AI and ML Engineers.

What We’re Looking For

This role needs someone who can operate comfortably between the boardroom and the architecture discussion.

You’ll likely bring 10+ years of software engineering leadership experience, including significant experience leading AI transformation at organizational scale. Director of AI JD

Crucially, you should have personally built and shipped production AI systems, rather than only overseeing teams doing the work. Experience with agentic systems, production RAG, agent integrations such as MCP/A2A, evaluation frameworks and production AI architecture will be particularly relevant. Director of AI JD

You should also be comfortable:

• Leading a mixture of permanent engineers and contractors.
• Working directly with executive stakeholders and communicating both the possibilities and limitations of AI.
• Making pragmatic build-versus-buy decisions and managing AI vendors.
• Assessing whether a problem genuinely requires AI or whether a simpler solution would deliver better ROI.
• Operating within enterprise cybersecurity, privacy and AI-governance requirements.
• Working in a fast-moving environment where the technology changes faster than the documentation.

Particularly Interesting Experience

Experience building ML models from the ground up, a strong data science foundation, multi-tenant customer-facing AI products, workflow automation platforms such as n8n, or AI within travel, hospitality or logistics would all be advantageous.

Why Consider It?

This is a chance to join at an unusually interesting point: the foundations are already being built, executive sponsorship for AI is strong, but the AI organization itself is still at the beginning of its journey.

You won’t inherit a finished strategy or a 50-person team. You’ll inherit real production problems, an aggressive roadmap and the opportunity to build a small AI function capable of having an outsized impact across a global business.

If you’re an AI leader who still wants to build, challenge assumptions and ship, rather than simply manage from a distance, we’d be interested in speaking with you.

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