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Senior AI Product Owner

London | Hybrid – 3 days per week
Up to £85,000 + £5,000 car allowance + bonus + private medical

We’re working with a leading UK organisation undergoing an exciting AI transformation and are looking for a Senior AI Product Owner to join its growing AI function.

This is a broad, commercially focused role sitting at the intersection of Product, AI and business strategy. Rather than owning a single product, you’ll work across a portfolio of AI opportunities, helping take ideas from discovery and experimentation through to delivery and scale.

The Role

You’ll be responsible for:

• Identifying and prioritising AI opportunities.
• Working with senior stakeholders to understand business challenges.
• Shaping AI use cases and defining value and success measures.
• Taking initiatives from POC through to production and adoption.
• Working closely with technical and AI specialists.
• Supporting user testing, iteration and change.
• Ensuring AI solutions deliver measurable commercial value.

About You

We’re looking for an experienced Product professional with:

• Strong Product Management / Product Ownership experience.
• Recent experience working with AI / GenAI.
• Experience shaping and delivering AI use cases.
• Strong commercial and stakeholder management skills.
• The ability to operate comfortably across ambiguity and multiple priorities.
• Ideally retail background or similar environment
• A track record of turning ideas into valuable, scalable products or solutions.

London | Hybrid (3 days)
Up to £85,000 + £5,000 car allowance + up to 20% bonus

Interested? Get in touch for a confidential conversation. Find out more and apply via the link below!

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Director of Analytics

Location: Remote – U.S.
Compensation: Up to $235K base + bonus

The Opportunity

We are partnering with a growing technology organization seeking a Director of Analytics to lead the strategy, architecture, and delivery of a modern analytics platform supporting both internal business intelligence and customer-facing data products.

This is a highly visible leadership role for someone who combines analytics engineering depth with strong people leadership and executive presence. You will lead an established team of approximately 10-11 professionals while partnering closely with Product, Engineering, and senior leadership.

This is not a traditional BI or reporting leadership position. The ideal candidate comes from a strong software, data, or analytics engineering background and has remained close enough to the technology to guide architecture, challenge technical decisions, and help shape the future of the platform.

What You’ll Own

• Lead and develop an analytics organization of approximately 10-11 people across analytics engineering and reporting.

• Define and execute the roadmap for the company’s analytics platform.

• Own both internal analytics and externally facing B2B data products used directly by customers.

• Lead modernization across data architecture, modeling, semantic layers, self-service analytics, and reporting.

• Provide technical leadership around cloud data warehousing, transformation, analytics engineering, and BI architecture.

• Partner closely with Product and Engineering to build analytics capabilities directly into customer experiences.

• Establish scalable engineering practices around testing, version control, CI/CD, data quality, governance, and observability.

• Help drive the evolution of AI-enabled and conversational analytics, including natural-language interaction with data.

• Recruit, mentor, and develop high-performing analytics and data engineering talent.

• Present strategy, roadmaps, technical tradeoffs, and investment priorities to executive stakeholders.

What We’re Looking For

• 10+ years of experience across analytics engineering, data engineering, software engineering, or related technical disciplines.

• 5+ years of leadership experience with a track record of managing and developing technical teams.

• Experience leading teams of approximately 10+ people.

• Strong engineering foundation with the ability to engage directly in architecture and technical discussions.

• Experience building and delivering customer-facing analytics or data products, ideally within a B2B SaaS or technology environment.

• Strong SQL and data modeling expertise.

• Experience with modern cloud data warehouses such as Snowflake.

• Experience with modern analytics and transformation platforms such as Looker/LookML and dbt, or comparable technologies.

• Strong understanding of semantic modeling and scalable self-service analytics.

• Familiarity with Python, Git-based development, CI/CD, and modern software development practices.

• Experience partnering closely with Product and Engineering organizations.

• Strong executive communication skills with the ability to translate complex technical concepts into business strategy.

Particularly Relevant Experience

Candidates with experience in several of the following areas will be especially compelling:

• B2B SaaS

• Analytics Engineering leadership

• Customer-facing or embedded analytics

• Multi-tenant analytics platforms

• Snowflake

• Looker / LookML

• dbt

• Semantic layers and data modeling

• Self-service analytics

• Data products

• AI-enabled analytics

• Conversational or natural-language analytics

• Cloud data architecture

The Profile

We are looking for someone who can operate effectively at both ends of the spectrum.

You should be comfortable presenting an analytics roadmap to executive leadership and partnering with Product on long-term strategy, but also willing and able to get into the details with engineers around architecture, SQL, data models, performance, or the semantic layer.

If your background is primarily traditional BI, dashboards, or reporting leadership without meaningful engineering depth, this is unlikely to be the right fit.

This is best suited for a builder and technical leader who has scaled teams and platforms while remaining close to the technology.

Why Consider It?

• Fully remote opportunity within the U.S.

• Lead an established analytics organization.

• Own both internal analytics and customer-facing B2B data products.

• Significant influence over the technical roadmap and future architecture.

• Direct exposure to senior executive, Product, and Engineering leadership.

• Opportunity to modernize and scale a major analytics platform.

• Play a key role in the organization’s adoption of AI-powered and conversational analytics.

• Strong opportunity for continued leadership growth as the organization expands.
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SOFTWARE ENGINEER
£130,000 + BONUS

LONDON

This is a genuinely exciting opportunity for an engineer who wants to operate as one of the first hires in a newly formed AI team. You’ll have the chance to build AI products from scratch, work directly with senior leadership, and help reshape how a global technology investment business operates through automation and AI.

THE COMPANY

Our client is a leading software-focused investment firm with a portfolio of technology businesses across the globe. They are making a significant investment in AI and are building an internal AI function to transform everything from operational workflows to investment research and decision-making. This is a greenfield environment with minimal bureaucracy, strong executive sponsorship, and the backing of a highly successful global organisation.

THE ROLE

• Build AI-powered products, workflow automation tools and internal platforms from concept through to production
• Develop intelligent assistants, agent-based applications and LLM-powered solutions to improve business processes.
• Work across Software Engineering, Data Engineering and DevOps to deliver impactful AI initiatives.
• Design and manage cloud infrastructure and data platforms within AWS environments.
• Join as one of the first engineers in the team, helping shape architecture, tooling and technical direction from day one.

YOUR SKILLS AND EXPERIENCE

• Around 3-6 years’ experience in Software Engineering, Data Engineering or Platform Engineering.
• Strong Python, SQL and AWS experience is essential.
• Experience designing, building and operating production systems end-to-end.
• Comfortable working in startup, scale-up or highly autonomous engineering environments.
• Exposure to infrastructure, DevOps and cloud automation.
• Experience building with LLMs, Generative AI or AI-powered applications would be highly beneficial.
• Previous experience as an early-stage or founding engineer is advantageous.
• Experience with Snowflake, dbt, Terraform or AWS CDK is desirable.

SALARY AND BENEFITS

• £100,000 – £130,000 base salary
• Up to 100% annual bonus
• 9% non-contributory pension
• Private medical insurance
• Annual health assessment
• Gym discounts and regular social events

HOW TO APPLY

Please register your interest by sending your CV to Harry Lack through the ‘Apply’ link.

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Senior Product Analyst

£65,000-£70,000 | Fully Remote (UK)

We’re looking for a Senior Product Analyst to join a fast-growing, global B2C subscription marketplace. This is a high-impact opportunity for an experienced product analyst to help shape acquisition, conversion and activation through data-led product decisions.

You’ll work closely with Product, Engineering, UX, Design and Growth teams, using behavioural data to identify opportunities, challenge assumptions and influence the product roadmap.

What you’ll be doing

• Analyse product journeys, funnels and user behaviour to improve conversion and activation
• Partner with product squads to support discovery and roadmap decisions
• Define and analyse event tracking for new and existing features
• Design and evaluate experiments and A/B tests
• Identify friction points and opportunities across the customer journey
• Translate complex analysis into clear, actionable recommendations
• Connect product behaviour to commercial and customer outcomes

What we’re looking for

• Strong experience in Product Analytics
• Advanced SQL
• Experience with event tracking and product analytics tools such as Amplitude
• Experience with experimentation / A-B testing
• A track record of influencing product decisions through data
• Strong stakeholder management and communication skills
• Ability to work autonomously and tackle ambiguous problems
• Experience operating at Senior level

Experience in subscription, SaaS, marketplace, growth, retention, churn or LTV analytics would be highly relevant. Python, R or dbt experience would be a bonus.

Why join?

• £65k-£70k salary
• Fully remote, with no mandated office days
• Fully expensed quarterly company offsites
• Occasional in-person workshops
• Collaborative, mission-led culture
• Significant opportunity to influence a growing product and analytics function
• Work on interesting product challenges within a global membership marketplace

If you’re a product-focused analyst who enjoys turning behavioural data into measurable improvements in growth and customer experience, we’d love to hear from you.

Find out more and apply via the link below!

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Senior Product Analyst

£60,000-£70,000 + Bonus + Equity

Fully Remote in the UK

If you’re a Product Analyst who enjoys finding the questions others haven’t asked yet, influencing product strategy, and using data to drive measurable growth, this could be the role for you!

The Company

A fast-growing global membership platform is redefining pet care and travel, connecting pet owners with trusted house and pet sitters across more than 140 countries. With a mission to become the world’s most-loved travel solution for pet people, the business has built a highly engaged global community and is continuing to invest heavily in its product and data capabilities. This is a genuinely product-led environment where analytics plays a key role in shaping what gets built next. You’ll be joining a collaborative, mission-led team where passion for the product and the customer experience really matters.

The Role

As a Senior Product Analyst, you’ll work within the Product Analytics team, supporting key product growth areas across the business. Your focus will be on acquisition, conversion, product usage and growth within the product experience. You’ll work closely with Product, Engineering, UX, Design and Commercial stakeholders, using behavioural data to identify opportunities, challenge assumptions and influence what gets built. I am looking for someone who can proactively identify problems and opportunities, develop a point of view and translate analysis into measurable business outcomes.

You’ll be responsible for:

• Owning growth analytics across the acquisition and conversion funnel
• Analysing product behaviour to identify opportunities and friction points
• Leading event tracking and instrumentation for new product features
• Defining tracking requirements, success metrics and guardrail metrics
• Designing and analysing A/B and multivariate experiments
• Using event-level data to understand user behaviour and improve activation and conversion
• Building dashboards and self-serve reporting for stakeholders
• Challenging assumptions and influencing product and commercial decisions through data
• Turning analysis into clear, actionable recommendations for Product teams
• Helping raise the analytical standard across the wider team

The successful candidate will be someone who can clearly demonstrate what problem they solved, how they approached it analytically, and what measurable impact their work had.

Your Skills & Experience

• Strong Product Analytics experience
• Advanced SQL skills
• Strong experience with event tracking and instrumentation
• Experience using tools such as Amplitude, Mixpanel, Segment or similar
• Strong experience with A/B testing and experimentation
• Experience owning analysis end-to-end with minimal direction
• Strong understanding of product metrics including conversion, activation and churn
• Excellent stakeholder management and data storytelling skills
• The ability to influence product decisions through data rather than simply report on performance

Experience within a SaaS, subscription or marketplace business would be highly desirable, particularly where you’ve worked with complex customer journeys and conversion funnels.

It would also be advantageous to have:

• Product Growth Analytics experience
• Customer lifecycle, retention, churn or LTV analysis
• dbt
• Python or R
• Experience using AI tools within analytical workflows
• Dashboarding experience

This is a product analytics role rather than a marketing analytics role, so candidates whose experience is primarily focused on paid media, attribution or channel-mix modelling are unlikely to be the right fit.

The Benefits

• £60,000-£70,000 salary
• Discretionary 10% quarterly bonus
• Generous equity package
• Fully remote working across the UK
• Offices available in London and Brighton, but no mandated office days
• Quarterly all-expenses-paid company offsites
• Flexible working hours
• 25 days holiday + bank holidays + festive closure
• Bupa Health & Dental Insurance
• SimplyHealth healthcare cash plan
• £200 annual home office allowance
• MacBook and Apple accessories
• Premium membership to the platform
• £500 annual contribution towards travel to house sits
• Personal development and learning budget

How to Apply

Click the link to apply!

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Senior Backend Engineer (API Platform)

Location: New York City, NY (Hybrid)

Pay: $190,000 – $210,000 Base Salary + Equity

About the Role

A fast-growing consumer technology company is seeking a Senior Backend Engineer to lead the development of a mission-critical external API platform that powers partner integrations and transactional booking experiences. This individual will play a key role in designing scalable backend systems, owning API strategy, and building the foundation for future integrations and automation capabilities.
This is a highly visible, hands-on engineering role with significant ownership over architecture, data modeling, and platform design. The position offers a path toward Staff-level growth through technical impact and leadership.

Responsibilities:

• Design, build, and maintain external APIs used by strategic partners and automated systems.
• Own API architecture, data modeling, and backend technical decisions.
• Develop scalable transactional systems supporting bookings, inventory, modifications, and cancellations.
• Create reusable integration patterns and frameworks for partner connectivity.
• Collaborate closely with senior engineering leadership on platform architecture.
• Build highly available and reliable backend services on AWS.
• Improve platform performance, observability, and operational excellence.
• Contribute to long-term engineering strategy and system scalability.

Must Have Qualifications:

• 6+ years of backend, platform, or software engineering experience.
• Proven experience designing and shipping production-grade transactional systems.
• Strong experience building APIs, integrations, or platform services.
• Experience with distributed systems and cloud-based architectures.
• Hands-on development experience with backend technologies such as Ruby, Java, Python, Go, C#, or similar.
• Experience working with databases and scalable backend infrastructure.

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Senior AI Product Owner

London (Hybrid)

The Company
They are a well-established organisation investing heavily in AI, automation, and innovation. With a growing AI function, they are focused on embedding AI solutions that improve decision-making, operational efficiency, and customer outcomes. This role offers high visibility, autonomy, and the opportunity to influence strategic initiatives.

The Role
* Partner with senior stakeholders to identify, shape, and prioritise AI opportunities across a commercial business area
* Lead discovery workshops to define user needs, business problems, and success metrics
* Manage a portfolio of AI initiatives, balancing business value, feasibility, and risk
* Work with specialist delivery teams to take solutions from concept through to implementation and adoption
* Drive user engagement, training, and change management to maximise value realisation
* Ensure AI solutions align with governance, security, privacy, and responsible AI standards

Your Skills & Experience
* Strong commercial experience in Product Ownership, Product Management, Business Analysis, or Transformation
* Strong understanding of AI and Generative AI technologies and their commercial applications
* Experience delivering digital, data, automation, or AI initiatives with measurable business impact
* Ability to influence senior stakeholders and manage competing priorities
* Excellent workshop facilitation, communication, and stakeholder management skills
* Analytical mindset with the ability to evaluate business value and drive data-led decisions

What They Offer

* Hybrid working model
* Exposure to high-profile AI transformation programmes
* Opportunity to influence enterprise-wide AI strategy
* Clear career progression within a growing AI function

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Senior MLOps Engineer

New York, New York – 5 days onsite

$160,000 – $180,000 + bonus

THE COMPANY

Harnham is partnering with a top financial services company in the NYC area, which is looking for an experienced MLOps Engineer. This person will be at the forefront of scaling AI automation applications for new ways at identifying cost-saving opportunities. You’ll partner with executive teams across the company and own generative AI, LLM and reinforcement learning application infrastructure deployment at scale.

RESPONSIBILITIES

• You will be responsible for machine learning model deployment and scalability for the company’s AI platform
• You will report directly to senior leadership and work closely on technical direction
• Own AI infrastructure and quickly build into production, particularly focusing on novel AI and LLM applications
• You will implement and design code and build out to production using various machine learning and LLM techniques, owning machine learning workflow operations and distributed systems
• Own CI/CD pipelines for MLOps / LLMOps
• You will play an integral role of building out the AI team and scaling out its product
• Act as a thought leader role for AI across the business

SKILLS AND EXPERIENCE

• 5+ years of commercial experience preferred with a focus on deploying and scaling machine learning and LLM models
• Expertise in Python (TensorFlow, PyTorch) for production-grade work
• Commercial experience building novel AI platforms with large datasets
• History of working with and managing real-time AI applications in production settings
• Fluency with low-latency distributed systems is preferred
• Cloud experience in AWS, Azure or GCP
• DevOps experience with CI/CD pipelines required; Gitlab Pipelines, CDK or Terraform
• Container experience with Kubernetes, Docker or similar
• History of working on models from concept to production / end-to-end / 0-1
• Software engineering foundation: debugging, testing, maintainable code design
• Domain experience in fintech or similar a plus
• History of partnering with non-technical stakeholders required
• Experience owning projects directly preferred
• BS or MS degree in Computer Science, Software Engineering, Computer Engineering or similar

BENEFITS

The compensation package contains a base salary, bonus and a comprehensive benefits package.

HOW TO APPLY

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

KEY TERMS

Artificial Intelligence | Generative AI | GenAI | Machine Learning | ML Engineer | Engineering | Deployment | Production | Real Time | Enterprise | Statistics | Mathematics | Financial Services | Banking | Python | Anomaly Detection | Fintech | Agentic AI | AI Agents | MLOps | ML Operations | Deployment | Deploy | Production | CI/CD | Container | Docker | Gitlab Pipelines | Terraform | Kubernetes

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