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Head of Analytics & Data Science

Location: USA (Remote/Hybrid)

Salary: $230,000 – $260,000 base + performance bonus + extensive benefits

Harnham is partnering with one of the world’s most downloaded wellness apps, backed by a major public healthcare company, to hire a Head of Data Analytics. With 85M+ downloads and a global user base, this is a chance to lead analytics and data science for a brand millions already use, with startup-level ownership and the resources of a public company.

This is a player-coach role at the center of product, growth, and data science. You’ll be hands-on with metrics, experiments, and analysis, while also setting the data agenda alongside product, growth, and executive leadership.

What You’ll Be Doing

• Own core growth and subscription metrics (installs, trials, ROAS, CAC, LTV, churn) and lead attribution strategy across AppsFlyer, SKAN, and SSOT deduplication
• Run the experimentation program, helping PMs and UA design tests and build statistical rigor across the org
• Own product analytics strategy: event taxonomy, Mixpanel governance, and turning data into funnel and retention insight for PMs
• Manage and grow a team of data scientists, setting the analytics roadmap and priorities
• Act as the go-to data partner for UA, Growth PM, and Head of Product on key business decisions
• Build AI-powered self-service analytics tools so teams can answer their own questions
• Partner with data engineering to keep the underlying pipeline reliable and trustworthy

What You’ll Bring

• 7+ years in data/analytics roles, including 2+ years managing a team
• Strong grasp of subscription and mobile metrics: LTV, trial conversion, cohort analysis
• Experience with mobile UA attribution (MMP, SKAN, multi-touch) and cross-platform reporting
• A track record designing and running experimentation programs
• Product analytics experience: event instrumentation and Mixpanel/Amplitude governance
• Comfortable with dbt/SQL to review models and unblock your team when needed
• Sharp business partnering skills: plain-language communication and confidence to push back
• Hands-on experience building with AI/LLM tools, not just using them

Bonus points: background in consumer subscription apps (health, wellness, entertainment, or productivity); experience building internal AI-powered tools (Claude/OpenAI APIs, LangChain, agent tooling); deep attribution and data modeling expertise.

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Title: AI/ML Engineer (All Levels)

Location: Bay Area (Hybrid)

Compensation: Up to $350,000 + Equity

We’re partnered with a well-funded, high-growth Series B startup building the next generation of AI-native data infrastructure for Fortune 500 enterprises. With 3.5x revenue growth in FY’24 and 160% net revenue retention, they’re scaling fast and investing heavily in the AI engineering team that powers their core product.

This is a high-impact role where you’ll own the intelligence layer of the platform, making real architectural decisions around agent design, model selection, and evaluation strategy. Everything you build ships directly to customers; this is not a POC or internal tooling team.

What You’ll Do

• Architect multi-step AI agents end-to-end, covering problem decomposition, context retrieval, error recovery, and output quality
• Own RAG pipelines, vector and graph-based retrieval systems, and knowledge representations that let agents reason accurately over complex enterprise data
• Build the AI layer behind the platform’s core code generation capability, from prompt design and model selection through to fine-tuning and output validation
• Make production AI work at scale, balancing latency, throughput, and observability, and knowing when to optimize a model versus restructure a system
• Think in failure modes and evaluation strategy, not capability demos, and own the improvement loop

Requirements

• 4-6+ years of software engineering experience with meaningful AI/ML depth
• Proven experience building and shipping AI agents or coding agents in production
• Strong Python skills with hands-on experience across RAG, vector databases, and knowledge graphs
• Experience with LLM APIs, prompt engineering, fine-tuning, and structured outputs in production
• Familiarity with AWS and Kubernetes for production AI deployment
• Experience with data platforms such as Databricks, Snowflake, BigQuery, or Spark is a strong bonus
• Scale or Go experience is a bonus

If you’re a builder who thinks in failure modes, owns what you ship, and thrives in environments where last year’s best practice is already obsolete, this is a rare opportunity to have direct leverage on a product used by some of the world’s largest enterprises.

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Title: Staff & Principal AI/ML Engineer

Location: Bay Area (Hybrid)

Compensation: Up to $380,000 + Equity

We’re partnered with a well-funded, high-growth Series B startup building the next generation of AI-native data infrastructure for Fortune 500 enterprises. With 3.5x revenue growth in FY’24 and 160% net revenue retention, they’re scaling fast and investing in senior technical leadership to define how AI gets built across the company.

This is a role for someone who sets technical direction, not just executes it. You’ll shape agent architecture, evaluation strategy, and retrieval systems at the core of the platform, leading large-scale initiatives from design through to production with real ownership over outcomes. The scope is intentionally open-ended, and strong engineers have enormous leverage here.

What You’ll Do

• Set technical direction across multi-step agent architecture, RAG pipelines, and knowledge retrieval systems, making the calls on agent design, model selection, and build vs. buy
• Own the AI behind the platform’s core code generation capability, from prompt design and fine-tuning through to output validation at scale
• Lead large, complex initiatives end-to-end with minimal direction, defining the problem as much as the solution
• Shape how production AI gets built across the team, establishing standards for evaluation, observability, and reliability
• Influence architectural decisions across the broader engineering organisation and mentor engineers at all levels

Requirements

• 8+ years of software engineering experience with significant AI/ML depth and a track record of technical leadership
• Demonstrated experience owning and shipping AI agents or coding agents in production at scale
• Strong Python skills with deep hands-on experience across RAG, vector databases, and knowledge graphs (Neo4j)
• Ability to make architectural decisions under uncertainty and drive them through to production
• Experience with AWS and Kubernetes, and comfort operating across the full AI development lifecycle
• Experience with data platforms such as Databricks, Snowflake, BigQuery, or Spark is a strong plus
• Scala or Go experience is a bonus

If you’re a technical leader who defines problems as much as you solve them, thrives in ambiguity, and wants to shape how AI is built at a company scaling toward its next funding round, this is the opportunity.

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CREDIT RISK DIRECTOR

UP TO £130,000

LONDON

HYBRID WORKING (2-3 DAYS PER WEEK IN-OFFICE)

Join a high-impact financial services consultancy as a senior leader, where you’ll shape strategy, lead complex analytics projects, and build strong client relationships. This is a standout opportunity to combine hands-on expertise with leadership and commercial influence in a growing, data-driven environment.

THE COMPANY

This organisation is a well-established advisory firm within financial services. They partner with clients to deliver data-driven solutions across lending portfolios and customer strategy. The business offers a collaborative environment with strong opportunities for leadership and progression.

THE ROLE

As a Director, you will lead the delivery of complex credit risk projects while contributing to business development and team leadership. You will oversee multiple engagements and ensure high-quality outcomes for clients.

Specifically, you can expect to be involved in the following:

• Leading end-to-end delivery of credit risk and analytics projects, from scoping through to completion
• Managing and mentoring teams of analysts to deliver high-quality outputs
• Overseeing modelling and analytical work, including hands-on contribution where required
• Building client relationships and supporting new business opportunities and proposals
• Contributing to internal capability development, training and best practice standards

SKILLS AND EXPERIENCE

The successful Director will have the following skills and experience:

• Strong experience in credit risk and analytics within consumer or SME lending
• Proven ability to manage analytical projects and lead teams effectively
• Experience developing and applying models such as scorecards, forecasting or strategy models
• Proficiency in data analysis tools such as Python, SQL or SAS
• Excellent communication skills, with the ability to present insights clearly to stakeholders

BENEFITS

The successful Credit Risk Director will receive a salary up to £130,000.

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Principal Credit Risk Consultant

Salary
£90,000-£120,000

Location + work pattern
London (2 – 3 days a week in office)

THE COMPANY
This organisation is a well-established financial services consultancy. They partner with a range of lenders to deliver data-driven insights and strategic solutions, combining deep technical expertise with commercial understanding.

THE ROLE
This is a senior position focused on leading the delivery of complex credit risk projects while supporting business growth and team development. You will work closely with senior stakeholders, oversee multiple engagements, and contribute both strategically and technically.
Specifically, you can expect to be involved in:

• Hands on with SQL and SAS or Python
• Building and growing client relationships
• Overseeing project teams to ensure high-quality, timely outputs
• Contributing to analytics work including modelling, such as scorecards and portfolio analysis
• Supporting business development through client engagement and proposal development
• Mentoring and developing junior team members

YOUR SKILLS AND EXPERIENCE

• Strong experience in credit risk and analytics within consumer or SME lending
• Recent experience engaging Business development role to maintain and grow client relationships.
• At least 2 years experience leading end-to-end delivery of credit risk and analytical projects in a consultancy space.
• Proficiency in data analysis tools such as Python/SAS, and SQL
• Currently engaging in Business development to ensure project pipeline is continuous.
• Proven ability to manage projects and lead analytical teams
• Experience with modelling techniques (e.g. scorecards, forecasting, or machine learning) within the credit risk space.
• Ability to communicate complex analytical findings clearly to stakeholder

THE BENEFITS

• Competitive salary and bonus structure
• Hybrid working environment
• Exposure to a wide range of financial services clients and projects
• Opportunities for leadership and career progression

THE PROCESS

• Initial interview
• Technical or case study stage
• Final interview

HOW TO APPLY
Please register your interest via the apply link on this page.

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Head of Credit Commercial Strategy

Salary
Undisclosed

Location + work pattern
London (3 days per week in office)

THE COMPANY
This organisation is a fast-scaling financial services provider focused on delivering innovative funding solutions to businesses. With a strong emphasis on data and technology, the company is investing heavily in its credit and commercial capabilities to support ongoing product expansion and growth across multiple markets.

THE ROLE
This is a senior individual contributor role focused on driving credit and commercial strategy across a suite of lending products. You will act as a key link between central strategy and product-led business units, ensuring that commercial objectives are translated into effective credit decisioning and pricing strategies.
Specifically, you can expect to be involved in:

• Owning credit and commercial strategy across a portfolio of lending products, balancing growth, risk, and profitability
• Leading first-principles analysis on credit policy, pricing, and product performance
• Developing and pitching new commercial initiatives to senior stakeholders
• Conducting hands-on analysis using data tools to generate insight and inform decisions
• Collaborating cross-functionally with product, engineering, risk, and commercial teams

YOUR SKILLS AND EXPERIENCE

• 6+ years of experience in credit risk and commercial strategy within a lending environoment
• Recent experience managing yield, approval rates, and commerical tradesoffs in a lending context
• Solid understanding of credit pricing, unit economics, and portfolio performance drivers
• Ability to analyse data in depth using tools such as SQL and Python
• Confident communicator, able to engage effectively with senior stakeholders
• Experience working in fast-paced, cross-functional or matrix environments

THE BENEFITS

• Opportunity to shape strategy within a high-growth product area
• Exposure to senior leadership and key commercial decision-making
• Clear progression opportunities as the function expands
• Collaborative, data-driven working environment
• Competitive bonus and potential long-term incentives

THE PROCESS

• First-stage interview with hiring team
• second stage interview including a problem-solving exercise
• Final-stage interviews with senior stakeholders

HOW TO APPLY
Please register your interest via the apply link on this page.

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Product Marketing Manager – Mobile Gaming

Location: Miami, FL (Hybrid)

Salary: $140,000-170,000

Job type: Full-time, Permanent

We’re partnering with a leading mobile game studio in Miami, part of a major international gaming group, to hire a Product Marketing Manager for its flagship title.

This is a rare opportunity to own the full player journey for one of the most recognizable games in its genre, from first ad impression to long-term retention, and turn new content launches into viral cultural moments.

Why This Role?

You’ll be the bridge between the development team and millions of players, owning full-funnel marketing strategy for a chart-topping mobile game. You’ll shape how new features and content packs go to market, drive aggressive organic growth, and lead expansion into new international markets, with real budget ownership and cross-functional influence from day one.

What You’ll Be Doing

• Define target audiences using player data, user research, and community insight, and dig into what’s driving unexpected player trends
• Shape product positioning and brand narratives that turn content updates into must-play moments, backed by competitive analysis and market research
• Design and execute full-funnel go-to-market (GTM) plans that integrate product features with user acquisition (UA), owning budgets and success metrics along the way
• Lead user acquisition and retention campaigns across paid, organic, PR, social, and non-traditional channels, including live events, influencer partnerships, and referral programs
• Build co-marketing and collaboration strategies with influencers, IPs, and consumer brands, coordinating cross-functional teams across product, paid UA, data science, and creative
• Partner with ASO and creative teams to optimize the App Store funnel, listings, and featured placements
• Own CRM and lifecycle marketing strategy to keep every player segment engaged
• Measure marketing impact through incrementality analysis, brand lift studies, and marketing mix modeling (MMM), using the data to optimize spend

What You’ll Bring

• 5+ years of product marketing experience in gaming or entertainment (mobile gaming strongly preferred)
• Bachelor’s degree or MBA in Marketing or a related field
• A proven track record of product marketing strategies and activations that delivered measurable growth
• Fluency in mobile gaming metrics (LTV, retention curves, ROAS, CPI) and the ability to turn analytics into action
• Strong cross-functional leadership: you can align developers, data scientists, and creatives around one goal
• A genuine passion for games and a sharp read on industry trends and the psychology of player engagement

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