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Head of Commerical Analytics

This is an opportunity to join an exciting buinsess, sitting within a strategic analytics function, you will play a key role in shaping commercial decision-making, influencing senior stakeholders, and driving business performance through advanced analytics and insight.

The Company
They are a fast-scaling technology and financial services business operating within a subscription-based consumer market. With a strong focus on innovation, sustainability, and customer experience, they have built a sophisticated data ecosystem that supports rapid growth and informed decision-making.

The business combines a modern digital platform with advanced risk and commercial analytics capabilities, creating a highly data-driven environment. Backed by significant investment and ambitious expansion plans, they offer the pace and impact of a scale-up alongside the complexity of a mature analytics function.

The Role
As Head of Commercial Analytics or Senior Manager, Commercial Analytics, you will lead the delivery of high-impact analytical initiatives that influence commercial strategy and operational performance.
Key responsibilities include:

• Partner with senior leadership to define and execute the commercial analytics roadmap.
• Deliver strategic analysis that drives customer growth, revenue performance, retention, and profitability.
• Translate complex data into actionable recommendations for both technical and non-technical stakeholders.
• Build and maintain robust reporting, forecasting, and performance measurement frameworks.
• Lead analytical projects from scoping through to implementation and business impact assessment.
• Collaborate closely with teams across strategy, product, finance, operations, and data.
• Support and mentor analysts, helping to develop analytical capability across the function.
• Champion data-driven decision-making throughout the organisation.

Your Skills & Experience

• Strong commercial analytics experience within a data-rich environment.
• Advanced SQL skills and the ability to work confidently with large and complex datasets.
• Experience delivering strategic insight that has influenced senior business stakeholders.
• Strong commercial acumen with the ability to connect analytics to business outcomes.
• Proven experience leading complex analytical projects and managing multiple priorities.
• Excellent communication and stakeholder management skills.
• Experience within fintech, lending, consumer finance, subscription businesses, ecommerce, or related sectors would be advantageous.
• Familiarity with experimentation, customer analytics, forecasting, performance optimisation, or decision science is beneficial.

What They Offer

• Opportunity to work in a high-growth business with significant backing and ambitious expansion plans.
• High visibility role with regular exposure to senior leadership.

How to Apply
If you are an experienced Commercial Analytics leader looking to drive strategic impact within a fast-growing, data-driven organisation, please apply with your CV for further information.

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Principal / Senior Backend Software Engineer (AI Systems & Agentic Workflows)

About the Role

We are seeking a hands-on Principal or Senior Backend Software Engineer to help build the next generation of AI-powered products and workflows on top of large-scale knowledge systems and healthcare datasets.

This role is ideal for someone who enjoys operating at the intersection of backend engineering, AI systems, product development, and platform architecture. You’ll work closely with technical leadership to design, build, deploy, and iterate on intelligent systems that leverage agentic AI workflows, retrieval-augmented generation (RAG), structured knowledge retrieval, and large language models.

This is not a research role. We are looking for builders who can take ideas from concept to production and thrive in a fast-moving, high-ownership environment.

What You’ll Do

• Design and build agentic AI workflows that automate complex business and user-facing processes.
• Develop production-grade Retrieval-Augmented Generation (RAG) systems utilizing large internal and domain-specific datasets.
• Implement AI-powered knowledge systems combining structured data, semantic retrieval, embeddings, and LLMs.
• Build backend services and APIs that support AI applications at scale.
• Design secure, scalable cloud-native architectures and distributed systems.
• Work closely with product, design, data, and engineering teams to rapidly validate, prototype, and ship new capabilities.
• Partner directly with leadership to influence architecture, technical direction, and long-term AI strategy.
• Continuously improve observability, reliability, evaluation, and safety of AI systems in production.

Key Responsibilities

AI & Agentic Systems

• Multi-agent workflow orchestration
• LLM-powered applications
• AI copilots and assistants
• Tool calling and agent execution frameworks
• AI evaluation, observability, and monitoring
• Prompt engineering and workflow optimization

Knowledge Systems

• Retrieval-Augmented Generation (RAG)
• Embeddings and vector search
• Knowledge graphs
• Search and discovery systems
• Semantic retrieval pipelines
• Context management and ranking

Backend Engineering

• API design and development
• Distributed systems and microservices
• Event-driven architectures
• Data processing and workflow automation
• Data platform integrations
• Cloud infrastructure and deployment

Desired Technical Experience

Backend

• Python
• FastAPI, Django, Flask, or similar frameworks
• REST APIs
• PostgreSQL
• Event-driven systems

AI / ML

• OpenAI, Anthropic, Gemini, or similar models
• LangChain, LangGraph, MCP, CrewAI, or comparable frameworks
• Agentic AI architectures
• RAG systems
• Vector databases
• AI evaluation frameworks

Infrastructure

• AWS
• Docker
• Kubernetes
• CI/CD
• Observability and monitoring platforms

Data

• PostgreSQL
• Redis
• Data pipelines
• Embeddings
• Search infrastructure

Preferred Backgrounds

Successful candidates often come from:

• Founding Engineer roles
• Startup CTO or technical founder backgrounds
• Senior backend engineering positions
• Applied AI engineering teams
• Search and retrieval platforms
• Knowledge systems
• Healthcare technology
• SaaS companies
• AI-native startups

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Principal Machine Learning Engineer

Location: Paris (Remote / Hybrid – Fully Remote or 2 Days in the Office)
Salary: €135,000 Base + €15,000 Bonus (OTE €150,000)

THE COMPANY

This profitable French AdTech scale-up is transforming digital advertising through machine learning. By building AI-powered technology that determines which users are most likely to engage with an advert, they help leading mobile apps drive customer acquisition and re-engagement through highly targeted advertising.

Following approximately 60% growth over the past two years, the business has expanded to around 140 employees across offices in Paris, Barcelona, Seoul and San Francisco, with more than 25 open positions supporting continued international growth.

You’ll be joining a highly technical engineering team, working directly alongside the CTO to shape the future of machine learning across the business.

THE ROLE

As a Principal Machine Learning Engineer, you’ll define the technical direction of large-scale production machine learning systems while remaining hands-on throughout the full model lifecycle. This is an individual contributor leadership role focused on delivering complex technical projects rather than managing people.

You’ll lead end-to-end machine learning initiatives across recommendation systems, audience targeting, bidding optimisation and customer lifecycle modelling, partnering closely with senior engineering and business stakeholders to translate commercial objectives into production-ready AI solutions. The role combines technical strategy, platform engineering and applied machine learning within a high-scale real-time environment.

YOUR SKILLS AND EXPERIENCE

• Extensive experience building and deploying production machine learning systems at scale
• Proven technical leadership, defining architecture and technical direction while remaining hands-on
• Strong experience developing recommendation systems, audience targeting models, LTV or churn models
• Experience building robust MLOps platforms including model monitoring, automated retraining and production deployment
• Excellent Python and modern machine learning framework experience (PyTorch, TensorFlow or similar)
• Strong software engineering and distributed systems knowledge
• Ability to communicate complex technical concepts to senior stakeholders
• AdTech or Demand Side Platform (DSP) experience highly desirable
• PhD in a STEM discipline is advantageous

THE BENEFITS

• €135,000 base salary plus approximately €15,000 annual bonus (OTE €150,000)
• Longevity bonus every two years
• 4.5-day working week with Friday afternoons off
• Fully remote working or hybrid (2 days per week if based near an office)
• Two company meet-ups each year
• Work directly alongside the CTO
• Join a profitable, high-growth international AI business with significant technical ownership opportunities

INTERVIEW PROCESS

• 15-minute HR conversation
• Take-home technical assessment
• Technical interview and assessment review with senior ML engineers
• CTO interview
• Executive Committee interview

HOW TO APPLY

Please register your interest by sending your CV to Max Beadle at Harnham via the Apply link on this page.

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Senior AI Manager
Philadelphia, Pennsylvania | Hybrid (4 days per week in office)
$200,000-$230,000 + Benefits (inc. bonus)

This is a great opportunity to join a business making a genuine investment in Artificial Intelligence and take ownership of building its Agentic AI capability. You’ll work closely with senior leadership, shape AI strategy, and deliver solutions that create measurable business impact.

The Company

They are a global organisation undergoing significant digital transformation, with AI at the centre of their growth strategy. The business is investing heavily in Generative AI and Agentic AI to improve operational efficiency, unlock new revenue opportunities, and drive innovation across multiple functions. You will join an established analytics environment and help lead the next phase of AI adoption.

The Role

As a Senior AI Manager, you will lead the development and scaling of AI capabilities across the organisation.

Key responsibilities include:

• Building and growing an Agentic AI function.
• Identifying and delivering high-value AI use cases across the business.
• Establishing AI standards, processes, and best practices.
• Partnering with senior stakeholders to drive AI adoption.
• Acting as an AI ambassador and promoting AI literacy across teams.
• Leading AI-focused hiring, onboarding, and team development.
• Working with analytics, technology, and external partners to deliver AI solutions.

Your Skills & Experience

• Strong commercial experience in AI, Data Science, or Machine Learning.
• Experience delivering Generative AI and Agentic AI solutions.
• Ability to translate business challenges into practical AI applications.
• Experience leading teams and influencing senior stakeholders.
• Knowledge of modern AI tooling and AI development frameworks.
• Experience working with Snowflake or similar cloud data platforms.
• Strong communication skills and a passion for AI innovation.

How to Apply

If you’re passionate about scaling AI solutions and want to help shape the future of AI within a growing organisation, apply today.

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Principal Machine Learning Engineer

Europe Remote | Up to €135,000 Base + Bonus (c.€150,000 OTE)

This is an opportunity to join a growing, profitable AI-driven technology business where machine learning is central to the product and commercial strategy. The role offers a rare blend of technical leadership and hands-on engineering, allowing you to shape the future direction of ML systems while solving complex challenges at scale.

The Company

They are an established technology scale-up that develops advanced machine learning solutions to power highly personalised digital experiences for millions of users worldwide. Operating internationally, the business has grown significantly in recent years and continues to invest heavily in its data and AI capabilities.

Their machine learning teams work on large-scale real-time systems where model performance directly impacts commercial outcomes. With a collaborative engineering culture and strong leadership support, they offer an environment where innovation and experimentation are encouraged.

The Role

As a Principal Machine Learning Engineer, you will provide technical leadership across the machine learning function while remaining closely involved in model development and production systems.

Key responsibilities include:

• Defining technical direction for machine learning systems and frameworks.
• Designing, developing and optimising machine learning models in a large-scale production environment.
• Leading the development of recommendation engines, bidding algorithms and audience targeting systems.
• Building mobile attribution models and solutions focused on customer lifetime value and churn prediction.
• Driving best practice across MLOps, model monitoring, observability and automated retraining.
• Enhancing machine learning infrastructure, experimentation platforms and deployment processes.
• Partnering with engineering leaders and business stakeholders to align machine learning initiatives with commercial objectives.
• Mentoring engineers and contributing to architectural decisions across the wider technology organisation.

Your Skills & Experience

• Strong commercial experience building and owning machine learning systems in production.
• Experience developing and deploying machine learning models at scale.
• Advanced Python skills alongside experience with modern machine learning frameworks such as PyTorch or TensorFlow.
• Excellent understanding of MLOps, model lifecycle management and production machine learning environments.
• Experience working with recommendation systems, predictive modelling, LTV modelling, churn prediction or related machine learning applications.
• Strong software engineering fundamentals with a focus on scalability, performance and reliability.
• Ability to communicate technical concepts effectively to both technical and non-technical stakeholders.
• Experience within AdTech, programmatic advertising, real-time bidding or demand-side platforms would be highly beneficial.

Nice to Have

• PhD in a STEM discipline.
• Experience within DSP environments.
• Exposure to mobile advertising, attribution modelling or related performance marketing technologies.

What They Offer

• 4.5-day working week with Friday afternoons off.
• Flexible remote working policy.
• Longevity bonus awarded every two years.
• Strong work-life balance and employee wellbeing initiatives.
• The opportunity to shape machine learning strategy within a growing and profitable technology business.
• Clear opportunities for progression and increased technical influence.

Interview Process

1. Introductory conversation with the Talent Acquisition team.
2. Take-home technical assessment.
3. Technical interview and assessment review with senior machine learning engineers.
4. Interview with the CTO.
5. Final executive leadership interview.

How to Apply

If you are an experienced Principal Machine Learning Engineer looking to combine technical leadership with hands-on machine learning development, please apply to learn more about this opportunity.

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Lead AI Engineer
Location: San Francisco Bay Area | Hybrid
Salary: $250-300k + Equity

Join a well-funded, AI-native startup at the forefront of redefining how digital products are designed and shipped.

This team is building a next-generation design platform where every screen is real, production-ready code. Designers work directly in the medium that ships, not static mockups, with AI deeply embedded into the workflow to accelerate iteration while preserving precision, consistency, and control.

Backed by top-tier Bay Area investors and senior product leaders from companies including Shopify, Notion, Dropbox, Stripe, and OpenAI, the company has strong runway, a high bar for talent, and ambitious plans ahead.

They’re now hiring their first dedicated Lead AI Engineer to own the model layer and drive AI performance across the product.

The Opportunity

You’ll work directly with the CTO and founding team to define and execute the AI strategy at the model level.

This is a hands-on, production-focused AI engineering role centered on:

• Fine-tuning LLMs for real-world use cases
• Optimizing inference speed, cost, and reliability
• Designing and deploying custom Small Language Models (SLMs)
• Establishing evaluation, benchmarking, and observability standards

What You’ll Be Responsible For

Fine-Tuning & Model Strategy

• Own fine-tuning workflows (LoRA, adapters, distillation, full fine-tuning)
• Decide when to fine-tune vs optimize at the system or prompt level
• Iterate models based on production feedback
• Balance quality, latency, and cost tradeoffs

Model Optimization & Performance

• Improve inference speed and throughput
• Reduce cost per request
• Enhance reliability and output consistency
• Define model evaluation and benchmarking frameworks

Custom SLM Development

• Design and train custom SLMs for specific design-to-code workflows
• Identify when smaller models outperform larger ones
• Deploy and maintain real-time, streaming AI systems
• Support multi-step and agentic AI capabilities within the product

What They’re Looking For

• 5+ years of software engineering experience
• 2+ years building with LLMs in production environments
• Proven hands-on fine-tuning experience (LoRA, distillation, adapters, etc.)
• Experience deploying custom or specialized models
• Strong intuition around inference tradeoffs: latency, throughput, cost, reliability
• Proficiency in Python and TypeScript / Node.js

Nice to have:

• ONNX runtime or model optimization tooling
• Experience with orchestration frameworks (e.g., LangChain)
• WebSockets, Redis, or real-time streaming systems
• Background in AI-native or code-generation products
• A PhD or advanced degree is welcomed, but demonstrated production impact is the priority.

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Staff Analytics Engineer

Location: Remote
Salary: $200-250k

Are you a data expert ready to drive transformative analytics at a cutting-edge cloud platform company? This fast-growing Series C innovator is revolutionizing how teams build, preview, and deploy high-performance digital applications.

About the Role

The Staff Analytics Engineer will lead the design and implementation of robust data models and pipelines, enabling business units to uncover insights and make data-driven decisions. This role is a unique chance to collaborate with engineering, product, and business teams, building scalable analytics systems that power operational efficiency and growth.

Key Responsibilities

• Design and maintain scalable data models and pipelines to serve as a single source of truth across the enterprise.
• Develop tools to enhance data accessibility, auditing, and validation, ensuring consistent, trustworthy datasets.
• Partner with cross-functional teams to uncover actionable insights and support decision-making.
• Build self-service analytics tools and dashboards for key stakeholders, streamlining workflows.
• Collaborate on advancing the company’s data platform using cutting-edge tools like dbt, Snowflake, and Superset.
• Lead initiatives to improve data quality, governance, and discoverability, ensuring alignment with business goals.

About You

• 8+ years of experience in analytics engineering or a similar role in a modern tech company.
• Advanced proficiency in SQL, with experience working on complex datasets.
• Expertise in data platforms like Snowflake or BigQuery and transformation tools like dbt.
• Familiarity with programming languages such as Python, Java, or Go.
• Experience with BI tools like Hashboard or Superset, and a strong grasp of schema design and dimensional modeling.
• Strong communication skills and the ability to collaborate in a fast-paced environment.

Be part of a forward-thinking team where data is at the core of every decision. If you’re passionate about transforming data into meaningful insights, this role offers the chance to work on impactful projects, collaborate with top talent, and make a lasting difference.

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Staff Data Analyst, Product Analytics

Location: Remote

Salary: $200-250k

Join a rapidly growing, Series C cloud platform company recognized for innovation and leadership in modern technology. This high-impact role offers the opportunity to drive strategy, shape growth, and turn complex data into actionable insights that improve product performance and streamline operational efficiency.

About the Role

The Staff Data Analyst will play a key role in defining critical business metrics, creating scalable visualizations, and automating reporting systems. The position involves collaborating across teams to uncover insights, streamline processes, and optimize data usage to support growth.

Key Responsibilities

• Develop and implement key business metrics to measure performance and identify opportunities.
• Create dynamic visualizations and automate reporting workflows to support decision-making.
• Build and enhance analytics datasets to optimize growth strategies and reduce costs.
• Collaborate with product, business, and leadership teams to deliver data-driven solutions.
• Prototype dashboards and data tools to improve workflows and promote best practices.
• Support data accessibility by maintaining analytical technologies that ensure timely access to data.
• Shape the analytics roadmap, aligning data initiatives with organizational goals.

About You

• 6+ years of experience in a data-focused role such as Data Analyst, Product Analyst, or Business Analyst.
• Proficient in SQL and experienced in working with complex datasets.
• Familiarity with Python or R and applied statistics.
• Expertise in ELT data modeling and tools like Hashboard, Looker, or Omni.
• Strong communication skills with the ability to translate data into actionable insights.
• Adept at collaborating in a fast-paced, cross-functional environment.

This is an opportunity to join a dynamic team where data is at the core of driving decisions and innovation. If you’re passionate about transforming data into meaningful outcomes and enjoy working on high-impact projects, this role offers the chance to make a lasting contribution.

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Senior Analytics Engineer
Location: Los Angeles, CA (Hybrid)

Salary: $150-200k base

We’re partnering with a rapidly scaling, mission-focused advanced technology company operating at the intersection of AI, hardware, and large-scale systems. Their software platform aggregates and operationalizes complex, real-time data to power critical decision-making in high-stakes environments.

As the company continues to grow, they are hiring a Senior Analytics Engineer to help architect and scale the core data foundation of the business.

The Opportunity

You will design and implement the core data models that represent how the organization operates across functions such as Finance, Supply Chain, Manufacturing, People, and Operations. These models will power internal applications, workflows, and metrics used by leadership to run the business.

You’ll sit at the intersection of analytics, engineering, and operations, helping build a scalable “digital twin” of a fast-moving, technically complex organization.

What You’ll Do

• Define and develop domain-level data models that reflect real business operations
• Build secure, scalable, and extensible transformations and data pipelines
• Own ingestion and egress frameworks across multiple source systems
• Contribute to architectural decisions and roadmap direction for the data platform
• Partner cross-functionally with engineering, product, and operations stakeholders
• Translate ambiguous business questions into structured, production-grade data systems
• Drive adoption of self-serve data applications beyond traditional BI

What They’re Looking For

• 5+ years of experience in Analytics Engineering, Data Engineering, or highly technical analytics roles
• Advanced SQL skills and strong experience with Python or similar languages
• Demonstrated success building scalable, reusable data models in fast-paced environments
• Experience with modern data stack tools such as dbt, Redshift, and BI platforms; exposure to enterprise data platforms is a plus
• High degree of ownership and comfort operating autonomously
• Strong communication skills and ability to partner with non-technical stakeholders
• Ability to obtain and maintain a U.S. Secret security clearance

This is a high-impact opportunity to shape foundational data systems inside a company solving complex, real-world problems at scale. If you’re excited by building data applications that influence how an organization operates, click apply to learn more.

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Job Title: Staff Data Scientist

Location: Remote (US Only)

Salary: $200-250k base + equity

About the Company:

Join a mission-focused organization dedicated to revolutionizing global education by providing innovative learning experiences beyond the traditional classroom. The company’s app is widely used across U.S. schools and impacts millions of children worldwide.

Their team is made up of talented and creative professionals with backgrounds in education and top consumer internet companies such as Instagram, Netflix, Dropbox, Stripe, and Uber. They cultivate an environment where top talent can thrive. If you’re eager to work with some of the best minds in the industry, we encourage you to apply!

Position Summary:

As a Staff Data Scientist, you will be a key player in developing the world’s leading consumer education platform. You will be part of a high-achieving, cross-functional team working closely with product, engineering, and design to shape the company’s strategic direction and tackle challenging product and business issues.

Key Responsibilities:

• Utilize data-driven insights to inform decisions and drive our brand toward new milestones
• Work collaboratively with various teams to discover user insights and pinpoint essential product improvements
• Design and analyze AB/multivariate tests to derive actionable conclusions that boost user engagement
• Lead data science projects, influencing strategic choices and addressing complex problems

Your Skills and Experience:

• 8+ years of experience in data science and product analytics
• Experience in the consumer technology sector
• Proficient in writing efficient SQL queries for large datasets
• Skilled in designing and analyzing A/B tests
• Strong understanding of growth strategies for consumer products
• Experience working in fast-paced startup environments
• Excellent verbal and written communication skills
• Strategic thinker with a keen focus on product development
• Innovative approach to using data to drive product strategy

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Staff Data Scientist, Finance – Consumption Forecasting

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

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

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

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

What you’ll own

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

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

What we’re looking for

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

Nice to have

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

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