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SVP, Head of Technology
Location: United States (Remote) – HQ in New York
Salary: Base up to $350k + 15% bonus + equity (total comp ~$500k)

This is a rare opportunity to lead a full Product and Technology transformation at a business redefining how AI is applied within digital products and customer workflows. Reporting directly to the CEO, you will shape strategy across Product, Engineering, Data, Design, QA, and Technology while helping build a genuinely AI-native operating model.

The Company
Our client is a private equity-backed technology business operating at the intersection of digital advertising, data, and artificial intelligence. They have an established platform, a strong customer base, and a leadership team committed to long-term innovation.

The organisation is entering a significant growth and transformation phase focused on building proprietary intelligence, modernising product development, and embedding AI throughout the business. With investment already secured, they are seeking an executive leader who can help define the next chapter of the company.

The Role
As SVP, Head of Product & Technology, you will own the vision, strategy, and execution across Product and Technology functions.

Key responsibilities include:

• Define and execute the Product and Technology strategy aligned to business objectives
• Lead Product, Engineering, Data, QA, Reliability, and Design teams
• Build and scale AI-enabled products, workflows, and operational capabilities
• Develop proprietary data assets and intelligence platforms that create competitive advantage
• Modernise technology architecture, engineering practices, and delivery processes
• Establish a high-performance operating model that balances innovation, quality, and efficiency
• Drive platform reliability, security, governance, and scalability
• Partner closely with executive stakeholders to prioritise technology investments and transformation initiatives
• Create clear metrics and reporting frameworks to demonstrate business value and transformation outcomes
• Present strategic updates, priorities, and ROI to senior leadership and board stakeholders

Your Skills & Experience

• Strong executive leadership experience across Product, Engineering, and Technology functions
• Experience leading large-scale transformation programmes within technology-driven businesses
• Commercial experience building or deploying AI, machine learning, generative AI, or agentic workflow solutions
• Strong understanding of cloud technologies, modern software engineering, data platforms, and system architecture
• Ability to translate business strategy into scalable technology and product roadmaps
• Experience managing cross-functional teams spanning Product, Engineering, Data, and Design
• Strong knowledge of data governance, analytics, and proprietary intellectual property development
• Comfortable operating within a private equity-backed or highly performance-focused environment
• Excellent stakeholder management skills with experience presenting to executive and board-level audiences
• Experience within AdTech, MarTech, digital media, SaaS, or data-intensive technology environments is highly beneficial

What They Offer

• Remote-first working environment
• Direct access to CEO and board-level decision making
• Opportunity to build and lead an AI-native Product & Technology organisation
• Significant influence over company strategy, investment decisions, and future growth
• A genuine opportunity to create lasting technology, data, and product impact

How to Apply
If you are an executive Product and Technology leader with a track record of driving transformation, AI adoption, and business growth, apply today to discuss this opportunity with Harnham.

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Senior or Lead Product Manager – Underwriting
Chicago – 3 days per week
Up to $180,000

Senior Product Manager | Lending, Decisioning & Growth | Chicago (Hybrid)

We’re partnering with a rapidly growing fintech that is transforming how lending decisions are made through technology, automation and data.

As they continue to scale, they’re looking for a Senior Product Manager to own a critical lending product area at the heart of the business – credit risk and underwriting. This is an opportunity to move beyond feature delivery and take ownership of products that directly influence customer outcomes, operational performance and revenue growth.

Why this role?

✅ Own business-critical lending products end-to-end
✅ Drive strategy, roadmap and measurable business outcomes
✅ Partner directly with Engineering, Operations, Analytics and Executive Leadership
✅ Solve complex, ambiguous problems with real autonomy
✅ High visibility and significant influence in a growing organisation

What you’ll be doing

• Own the product strategy, roadmap and KPI performance for a lending domain
• Improve operational workflows and customer journeys through product innovation
• Identify bottlenecks and design scalable technology solutions
• Work closely with engineers to define requirements and launch new capabilities
• Analyse performance using SQL and data-driven experimentation
• Balance customer experience, operational efficiency and business goals
• Lead initiatives from discovery through launch with minimal oversight

What we’re looking for

• Product Managers who have owned outcomes, not just roadmaps
• Strong analytical mindset with SQL and experimentation experience
• Experience optimising complex workflows, systems or decision processes
• Comfort working closely with engineers and technical stakeholders
• Ability to operate effectively in fast-moving, low-structure environments

Particularly interested in backgrounds such as:

• Fintech
• Payments
• Lending
• Fraud & Risk
• Decisioning Platforms
• Pricing & Optimisation Products
• Marketplace or Operationally Complex Systems
• AI / Machine Learning Products

Package

$120,000 – $180,000 Base
10-15% Annual Bonus
Chicago Hybrid (3 days onsite)
❌ No Visa Sponsorship

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VP Credit Risk Strategy & Data Science
United States (Remote)
Circa $250,000+ Salary

Build the Next Generation of SMB Lending

A high-growth SMB lender is looking for a senior credit leader to help shape the future of its credit operating system.

The business has already built strong foundations across underwriting, portfolio management, and risk governance. This isn’t a turnaround story or a traditional “keep the lights on” credit role.

The next chapter is about:

• Growth in risky segments
• New products
• Smarter underwriting
• Deeper use of machine learning
• Automated decisioning
• Better portfolio intelligence
• Faster translation of data into action

We’re looking for someone who sits comfortably at the intersection of credit strategy, analytics, and data science.

What You’ll Be Doing

• Own credit strategy across originations, portfolio management, and customer lifecycle
• Lead Data Science to build, deploy, and optimize ML-driven decisioning
• Turn portfolio insights into pricing, limit, and policy decisions
• Drive experimentation frameworks, monitoring, and continuous strategy improvement
• Influence how underwriting evolves as the business scales
• Help lead and develop a growing team spanning credit, analytics, and data science
• Work directly with senior leadership on growth, profitability, and risk appetite

What We’re Looking For

You don’t need to be a hands-on data scientist today, but you should be comfortable operating in model-driven environments.

Typically, successful backgrounds include a mix of Credit Strategy & Data Science, making this search difficuly. If you have lived across htese worlds this world is perfect for you.

Ideally you’ll have:

• Experience within fintech, lending, embedded finance, cards, or SMB finance
• Successful ownership of credit strategy in a growth environment
• Strong understanding of ML-driven underwriting and portfolio analytics
• Exposure to alternative data, cash-flow underwriting, or transaction-based decisioning
• Experience owning growth vs loss trade-offs
• Ability to challenge and guide Data Science teams, not just consume their outputs

Why This Role?

• Founder-led business
• Significant executive visibility
• Ability to influence company strategy
• High degree of autonomy
• Real investment in data, analytics, and ML
• Opportunity to help define what credit decisioning looks like over the next several years

This is a role for someone who enjoys building, not maintaining.

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CRO Developer

£50,000 – £60,000

Hybrid – Manchester (3x days per week)

This is a rare opportunity to join a growing digital business where experimentation sits at the heart of decision making. With strong investment in CRO and testing, you will play a key role in creating, deploying, and analysing experiments across high traffic digital platforms. This position offers the chance to make a direct commercial impact while working with modern experimentation tools and technologies.

The Company

They are an established digital performance business operating across multiple international markets. Through a portfolio of proprietary digital platforms, they manage and optimise the full customer journey from acquisition through to conversion. Their data-driven approach to growth has created a strong culture of experimentation, with significant opportunities to improve customer experiences through testing. Continued expansion has led to investment in building internal CRO and experimentation capability.

The Role

As a CRO Developer, you will be responsible for building, implementing, and maintaining A/B tests and experiments across a range of digital products. You will work closely with analysts, marketers, designers, and stakeholders to translate hypotheses into live experiments that drive measurable business results.

• Build and deploy A/B and multivariate tests using HTML, CSS, and JavaScript
• Develop high-quality experiment code across websites and digital platforms
• Work with CRO and product stakeholders to turn testing ideas into live experiments
• Implement personalisation and experimentation campaigns using leading CRO tools
• Ensure experiments are technically robust, performant, and accurately tracked
• Debug, troubleshoot, and optimise testing implementations
• Collaborate with analytics teams to support experiment measurement and reporting
• Contribute to experimentation best practices, processes, and governance
• Identify technical opportunities to improve customer journeys and conversion performance

Your Skills & Experience

• Strong commercial experience as a CRO Developer, Front End Developer, or Experimentation Developer
• Hands-on experience building and deploying experiments using HTML, CSS, and JavaScript
• Experience with CRO and experimentation platforms such as Optimizely, VWO, AB Tasty, Convert, Dynamic Yield, or similar
• Strong understanding of A/B testing methodologies and experimentation principles
• Experience working with web analytics and performance measurement tools
• Ability to write clean, efficient, and maintainable front-end code
• Understanding of customer journeys, user behaviour, and conversion optimisation
• Comfortable working closely with technical and non-technical stakeholders
• Experience within performance marketing, ecommerce, lead generation, or high traffic digital environments is beneficial

What They Offer

• £50,000 – £60,000 base salary
• Bonus scheme
• Hybrid working model with flexibility
• Opportunity to help shape a growing experimentation function
• Exposure to high traffic digital products and large-scale testing programmes
• Strong career progression opportunities
• Collaborative and data-driven environment

How to Apply

If you are a CRO Developer with experience building and deploying experiments using HTML, CSS, and JavaScript, apply now to learn more about this opportunity.

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Product Analyst
£60,000 – £70,000 + benefits
Hybrid – Manchester (3x days per week)

This is an opportunity to join a highly regarded digital business that reaches millions of consumers every week. Sitting within a cross functional product environment, you will use data to shape customer experiences, influence product strategy, and drive measurable business outcomes. You will take ownership of key analytics initiatives while helping to develop best practice across a growing analytics community.

The Company
They are a leading consumer focused digital organisation with a strong technology and data driven culture. Their platform supports millions of users, helping customers research, compare, and make informed purchasing decisions.
Data plays a central role in decision making across the business, and analytics is deeply embedded within product development. They offer a collaborative environment where analysts work closely with Product, Engineering, Design, and Research teams to solve complex customer challenges.

The Role
As a Senior Data Analyst, you will:

• Partner with product teams to define success metrics and measurement frameworks
• Establish robust governance, monitoring, and reporting standards for key product areas
• Design and develop data products in collaboration with data and engineering teams
• Drive improvements to tracking and measurement capabilities across digital products
• Lead experimentation and A/B testing programmes, providing actionable recommendations
• Support product discovery by working alongside Design and User Research teams
• Influence senior stakeholders through clear, evidence based insights
• Identify opportunities to improve customer journeys, engagement, and product performance
• Mentor and support other analysts within the wider analytics community
• Contribute to the development of analytics frameworks, standards, and best practices

Your Skills & Experience

• Strong commercial experience within consumer facing digital product environments
• Experience analysing complex customer journeys and behavioural data
• Knowledge of experimentation methodologies and statistical inference techniques
• Familiarity with product analytics and user behaviour tracking tools, such as Google Analytics or similar platforms
• Advanced SQL skills and working knowledge of Python
• Understanding of ETL processes and core data engineering concepts
• Ability to translate complex analysis into clear business recommendations
• Experience delivering analytics projects within cross functional teams
• Proven capability in mentoring, coaching, or leading analysts
• Strong stakeholder management and communication skills

What They Offer

• Salary of £50,000 to £70,000
• Annual equity award equivalent to 10% of salary
• Hybrid working model with regular collaboration in the office
• Generous annual leave allowance plus bank holidays
• Competitive pension scheme
• Private medical insurance and wellbeing support services
• Enhanced family friendly benefits
• Additional savings and share scheme options
• Clear opportunities to influence strategy and progress your analytics career within a mature data environment

How to Apply
If you are an experienced Senior Data Analyst looking to make an impact in a product led, data driven organisation, please apply with your CV to discuss the opportunity further.

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Senior Data Scientist

Hybrid – Leicester (1x day a week)

£75,000 – £85,000 + bonus

Looking to apply advanced machine learning in a highly commercial environment? This is an opportunity to join a data-driven organisation where analytics sits at the heart of strategic decision-making. You’ll work on innovative pricing and risk modelling challenges, helping shape how data and machine learning drive business performance.

The Company

They are a well-established consumer-focused organisation with a strong investment in data, analytics, and technology. Their data science function plays a critical role in driving commercial outcomes through advanced modelling and predictive analytics. With a collaborative culture and modern cloud-based technology stack, they offer an environment where innovation and experimentation are encouraged. You will work alongside talented data scientists, analysts, and engineers to deliver impactful solutions at scale.

The Role

As a Senior Data Scientist, you will develop advanced machine learning solutions that support pricing, risk assessment, and business performance.

Responsibilities include:

• Building and deploying predictive machine learning models across a range of commercial use cases
• Developing analytical tools to improve risk portfolio management and decision-making
• Creating innovative features and data assets to enhance model performance
• Identifying and evaluating new data sources that can drive commercial value
• Taking models through the full lifecycle from exploration and development to deployment, monitoring, and optimisation
• Partnering with stakeholders to define business problems and deliver effective solutions
• Working closely with Data Engineers, Data Scientists, Analysts, and other technical specialists
• Contributing to the adoption of emerging machine learning techniques and best practices

Your Skills & Experience

• Strong commercial experience delivering machine learning projects from discovery through to deployment and ongoing model management
• Expertise in Python and SQL
• Experience working with Azure Machine Learning and wider Azure cloud technologies
• Knowledge of version control tools such as Git
• Ability to translate complex business challenges into analytical solutions
• Strong stakeholder management and communication skills
• Experience working in cross-functional data and analytics environments
• Passion for innovation and applying new machine learning approaches to real-world challenges

What They Offer

• Competitive salary
• Annual bonus scheme
• Car allowance
• Private medical insurance
• Matched pension contributions
• Life assurance and income protection
• Hybrid and flexible working arrangements
• Generous annual leave allowance
• Health, wellbeing, and financial support benefits
• Ongoing learning, development, and career progression opportunities within a growing data science function

How to Apply

If you’re interested in this Senior Data Scientist opportunity, apply today to discuss how your experience aligns with the role.

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Lead AI Engineer

$160,000-180,000 base salary + bonus

Minneapolis, MN – 3 days/week onsite

THE COMPANY

Harnham is working with a global technology and information services organization that develops advanced software solutions for professionals operating in highly regulated and data-intensive industries. With significant investment in artificial intelligence and emerging technologies, the business is building next-generation intelligent platforms that help customers uncover insights, make critical decisions, and improve operational efficiency at scale.

This is an opportunity to join a highly innovative engineering team at the forefront of AI adoption, where you will help shape enterprise-grade solutions leveraging Generative AI, RAG architectures, autonomous agents, and cloud-native technologies.

RESPONSIBILITIES

• Lead the design and development of enterprise-scale AI applications, including RAG solutions, intelligent agents, and multi-stage AI pipelines.
• Architect and deliver full-stack solutions spanning AI orchestration layers, APIs, microservices, data services, and modern web applications.
• Drive technical strategy for AI initiatives, evaluating emerging technologies and translating research into practical business applications.
• Establish best practices for MLOps and LLMOps, including model deployment, monitoring, governance, and lifecycle management.
• Mentor and support engineering teams, providing technical leadership and guidance across complex software projects.
• Collaborate closely with product, design, research, and engineering stakeholders to deliver scalable, secure, and high-performing AI-powered products.
• Champion observability, testing, security, compliance, and responsible AI practices across the software development lifecycle.
• Optimize AI solutions for performance, cost efficiency, reliability, and user experience within large-scale production environments.

SKILLS AND EXPERIENCE

Required

• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience (Master’s degree preferred).
• 8+ years of software engineering experience, including at least 4 years in senior or lead engineering roles focused on AI/ML solutions.
• Proven experience designing and delivering Generative AI, LLM, RAG, or agent-based applications in production environments.
• Strong expertise in backend development, APIs, distributed systems, and cloud-native application architecture.
• Expert-level proficiency in object-oriented programming and experience with AI/ML frameworks such as PyTorch, TensorFlow, or JAX.
• Strong experience with AWS and modern infrastructure tooling including Docker, Kubernetes, and Terraform.
• Demonstrated ability to integrate AI models into enterprise-scale systems through APIs, data pipelines, and microservices.
• Excellent communication, leadership, stakeholder management, and mentoring skills.

Preferred

• Experience leading teams building AI-driven platforms or enterprise AI integrations.
• Knowledge of vector databases, embeddings, semantic search, and information retrieval technologies.
• Experience working within regulated sectors such as legal, financial, risk, compliance, or investigative services.
• Understanding of AI governance, model risk management, and regulatory compliance frameworks.
• Record of successful AI product launches, technical presentations, publications, patents, or industry speaking engagements.

BENEFITS

• Opportunity to lead cutting-edge AI initiatives with significant business impact.
• Exposure to large-scale enterprise AI platforms and modern cloud technologies.
• Collaborative and innovation-focused engineering culture.
• Ongoing professional development, learning, and industry engagement opportunities.
• Comprehensive employee benefits package and flexible working arrangements.

HOW TO APPLY

Please register your interest by sending your CV via the Apply link on this page.

KEY TERMS

Lead Software Engineer AI | Principal Software Engineer | Generative AI | LLM | Large Language Models | RAG | Retrieval Augmented Generation | Agentic AI | AI Agents | Machine Learning | MLOps | LLMOps | AWS | Kubernetes | Docker | Terraform | Python | PyTorch | TensorFlow | JAX | Microservices | APIs | Distributed Systems | Vector Databases | Embeddings | Semantic Search | Cloud Architecture | Enterprise Software | Full Stack Engineering | Artificial Intelligence Leadership

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Senior AI Product Engineer

San Francisco Bay Area (Hybrid | 3 days onsite) Compensation: Up to $250,000 Base + Equity

Build AI Products That Reach Real Users

We’re looking for an experienced AI Product Engineer to help build and scale the next generation of AI-powered products.

This is a hands-on role for someone who thrives at the intersection of software engineering, product thinking, and applied AI. You’ll work across the full life cycle of intelligent systems, from initial concept and prototyping to production deployment, evaluation, and continuous improvement.

If you’ve successfully shipped AI-powered features that deliver measurable value to users and enjoy solving complex problems with both technical depth and customer empathy, we’d love to meet you.

What You’ll Do

• Design, build, and deploy production-grade AI applications and agentic systems
• Partner closely with product, engineering, and leadership teams to identify high-impact opportunities for AI
• Own features end-to-end, from architecture and implementation through monitoring and optimization
• Develop robust evaluation frameworks to measure quality, reliability, and business impact
• Continuously improve system performance through experimentation, testing, and iteration
• Help establish best practices for building scalable, maintainable AI products
• Contribute to a collaborative engineering culture focused on learning, innovation, and execution

What We’re Looking For

Required Qualifications

• Experience building and shipping customer-facing AI products into production
• Strong software engineering foundation with experience in backend or full-stack development
• Experience working with LLM-powered applications, agentic systems, or AI-driven workflows
• Proficiency in Python and/or TypeScript
• Experience evaluating, debugging, and improving AI system performance
• Ability to make thoughtful technical decisions and communicate trade-offs clearly
• Strong ownership mindset with a track record of delivering impactful products

Preferred Qualifications

• Experience with Retrieval-Augmented Generation (RAG)
• Familiarity with agent frameworks, orchestration platforms, or AI infrastructure tools such as LangChain, AWS Bedrock, LlamaIndex, or similar technologies
• Experience operating AI systems at scale in production environments
• Startup or high-growth company experience

What Success Looks Like

The strongest candidates have:

• Built AI-powered products that moved beyond prototype and reached real users
• Demonstrated ownership of both product outcomes and technical execution
• Experience creating evaluation and feedback loops that improve model quality over time
• A track record of balancing speed with thoughtful engineering decisions
• The ability to clearly explain what they built, why they built it, and what they learned along the way

Leveling

We are hiring at multiple levels based on experience and impact:

• Senior AI Product Engineer: Approximately 4-6 years of experience
• Senior AI Product Engineer II: Approximately 6-8 years of experience

Why Join?

• Work on cutting-edge AI products with meaningful user impact
• High ownership and influence on technical direction
• Competitive compensation package including equity
• Opportunity to help define how AI is integrated into real-world applications
• Collaborate with a team that values curiosity, execution, and continuous learning

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Senior Analytics Manager (Pricing and Promotions) – 1 Year FTC
London, Hybrid
Salary up to £85,000

This is an opportunity to take ownership of a high-impact commercial analytics function within a well-established consumer-facing business. You will play a key role in shaping strategic decisions across pricing, promotions, product ranging and operational performance, using advanced analytics to drive measurable commercial outcomes.

The Company
They are a recognised organisation with a strong customer focus and a data-driven approach to decision-making. Analytics sits at the heart of their commercial strategy, helping teams make smarter decisions that improve revenue, profitability and customer experience. The business continues to invest in data, technology and analytical capability, creating an environment where insight can directly influence business performance. You will join a collaborative team that values innovation, commercial thinking and continuous improvement.

The Role
As Senior Analytics Manager, you will lead the development of commercial analytics capabilities across pricing, promotions, forecasting and optimisation.
Responsibilities include:

• Developing and delivering a commercial analytics strategy aligned to business objectives.
• Building analytical frameworks to support pricing, promotional and product range decisions.
• Delivering forecasting, optimisation and predictive modelling solutions that drive revenue and margin growth.
• Translating complex analytical outputs into clear recommendations for senior stakeholders.
• Partnering with commercial, finance, operations, data science and engineering teams to embed analytics into decision-making.
• Driving improvements in analytical best practice, governance and data quality.
• Coaching and developing analytics talent while promoting a culture of commercial insight and continuous improvement.
• Identifying opportunities for experimentation and performance optimisation across key commercial areas.

Your Skills & Experience

• Strong commercial experience within analytics, insights or data science.
• Advanced SQL and experience with Python, R or similar analytical tools.
• Expertise in forecasting, optimisation, predictive modelling and commercial analytics.
• Experience delivering complex analytics projects from concept through to implementation.
• Strong understanding of pricing, promotions, demand forecasting, margin performance and customer-focused commercial decision-making.
• Excellent stakeholder management skills with the ability to influence senior business leaders.
• Experience developing analytical capability through mentoring, coaching or team leadership.
• Knowledge of data governance, model quality assurance and analytical best practice.

How to Apply
If you’re an experienced analytics leader looking to drive commercial impact through data and advanced analytics, apply today to find out more.

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