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Title: Data Architect
Location: US Remote
Pay: $200k – $230k Base (No Bonus)

Overview:
An innovative, high-growth organisation is seeking a Data Architect to drive advanced analytics and machine learning initiatives across multiple business domains. This role focuses on building scalable data solutions, deploying predictive models, and enabling data-driven decision-making in a collaborative, cloud-first environment.

Responsibilities:

• Design, develop, and deploy predictive and prescriptive models across domains such as customer behaviour, operations, and personalisation
• Apply machine learning, deep learning, and statistical methods to solve complex business challenges
• Lead experimentation initiatives including A/B and multivariate testing, as well as causal inference analysis
• Analyse large, complex datasets to generate insights and inform strategic recommendations
• Communicate technical findings clearly to both technical and non-technical stakeholders
• Collaborate with product managers and cross-functional teams to define data science initiatives
• Partner with engineering teams to build scalable, data-driven applications
• Mentor junior team members and contribute to best practices, tools, and reusable frameworks

Must Have Qualifications:

• 7-10+ years of experience in data science, applied machine learning, or statistics
• Strong proficiency in Python or R, including libraries such as scikit-learn, TensorFlow, or PyTorch
• Hands-on expertise with AWS and cloud-based AI/data platforms
• Experience building and deploying Data Mesh architectures
• Proven ability to productionise models using APIs, pipelines, or ML frameworks
• Experience with tools such as Databricks, SageMaker, and Snowflake

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Senior AI Engineer (Founding Team)

Remote (US) – NYC Preferred

$175,000 – $200,000 Base + Equity

THE COMPANY

Harnham is partnering with a venture-backed, early-stage AI startup building an agentic AI operating system for the advertising and marketing industry. Having recently completed a successful Series A funding round, the company is entering a rapid growth phase and is focused on developing foundational AI infrastructure that enables intelligent workflows, agent orchestration, and large-scale production AI systems.

Rather than layering AI onto existing software, the organization is building AI-native products from the ground up. With a lean team of approximately ~30 employees and a highly collaborative engineering culture, this is an opportunity to work directly alongside founders and technical leadership to define the future of AI-powered workflow automation.

RESPONSIBILITIES

• Build and deploy production-grade AI features from concept through implementation and launch.
• Design and develop agentic AI workflows, orchestration frameworks, and intelligent automation systems.
• Create AI-powered applications that solve complex advertising and marketing challenges.
• Optimize model performance, latency, reliability, and operational costs across production environments.
• Collaborate closely with Product and Customer Success teams to validate business impact and customer outcomes.
• Own features end-to-end, from architecture and development through deployment and ongoing optimization.
• Contribute to platform architecture, engineering standards, and technical best practices.
• Help shape the long-term direction of the company’s AI infrastructure and product strategy.

SKILLS AND EXPERIENCE

• Strong software engineering background with experience building and shipping production AI applications.
• Hands-on experience developing LLM-powered applications in production environments.
• Experience designing and implementing agentic AI systems and workflow orchestration frameworks.
• Proficiency with LangChain or comparable orchestration technologies.
• Demonstrated experience owning customer-facing products from development through deployment.
• Strong software engineering fundamentals, including application architecture, testing, and scalability.
• Comfort operating in fast-paced startup environments with high ownership and ambiguity.
• Product-oriented mindset focused on measurable customer and business outcomes.
• Ability to work across the technology stack and contribute wherever needed.

PREFERRED EXPERIENCE

• Experience with multi-agent systems and advanced orchestration architectures.
• Knowledge of Retrieval-Augmented Generation (RAG) systems.
• Experience implementing AI evaluation and testing frameworks.
• Prompt engineering expertise.
• Background in marketing, advertising technology, or related industries.
• Experience with MLOps, LLMOps, and cloud-native infrastructure.
• Exposure to vector databases and large-scale AI platform architectures.

BENEFITS

The compensation package includes a competitive base salary, meaningful equity participation, and the opportunity to join a high-growth AI startup at an early stage. This role offers significant ownership, direct access to founders and engineering leadership, and the chance to help define the future of production-grade agentic AI systems.

HOW TO APPLY

Please submit your CV via the Apply link on this page to register your interest.

KEY TERMS

Artificial Intelligence | Agentic AI | AI Agents | Large Language Models | LLMs | LangChain | Workflow Automation | Multi-Agent Systems | RAG | Prompt Engineering | MLOps | LLMOps | Production AI | Software Engineering | Startup | Marketing Technology | Advertising Technology | Full Stack Engineering | AI Infrastructure | Machine Learning | Founding Engineer | Generative AI | Automation Platforms | Cloud Infrastructure

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Overview

We are hiring two Senior Analytics Engineers to help build and scale customer-facing analytics capabilities that are embedded directly into a growing software platform.

This is not a traditional BI or reporting role. We are looking for candidates who think like product builders-professionals who can design, develop, and deliver analytics solutions that become part of the product experience rather than simply creating dashboards or responding to ad hoc reporting requests.

What We’re Looking For

Required Experience

• Advanced SQL expertise, including complex query development, data transformations, and relational database design
• Experience with SQL Server, PostgreSQL, Snowflake, Vertica, or similar database environments
• Strong analytics engineering, data modeling, and software development fundamentals
• Experience building end-to-end analytics products rather than solely reports or dashboards
• Ability to work effectively with ambiguity and incomplete requirements
• Strong communication and stakeholder management skills
• Demonstrated ownership mentality and ability to independently drive solutions from concept to delivery

Healthcare Experience (Highly Preferred)

Ideal candidates will have experience working with:

• Claims data
• Healthcare services data
• Transactional healthcare datasets

Candidates with purely patient advocacy or patient-facing analytics backgrounds may be less aligned with the team’s needs.

What Makes Someone Senior?

• Understands business problems before proposing technical solutions
• Can clearly explain design decisions and technical trade-offs
• Takes ownership rather than waiting for detailed direction
• Thinks strategically about how analytics solutions will be used by customers
• Can navigate ambiguity and drive projects to completion independently

Nice to Have

• Tableau or Looker experience
• Python development experience
• Git and version control workflows
• Shell scripting
• Linux or command-line experience
• Data visualization expertise
• Experience building user-facing analytics applications
• Exposure to data science methodologies and workflows

What This Role Is NOT

• Not a traditional reporting or dashboard-only position
• Not focused primarily on ad hoc business requests
• Not a purely BI-focused role
• Not limited to writing SQL queries without ownership of product outcomes
• Not a fit for candidates who have only worked in reporting environments with little exposure to software development practices or product thinking

Location & Compensation

Location: Fully Remote (Continental U.S. Only)

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Senior Frontend Engineer

Location: Hybrid (3 days/week onsite in New York City)
Pay: $175k – $200k Base Salary + 10% Annual Bonus + Equity

About the Opportunity

Join a rapidly growing technology organisation operating at global scale, serving hundreds of millions of consumers worldwide. This team is focused on building next-generation AI-powered products and developer tooling, leveraging massive amounts of real-time data to drive innovation. The engineering culture combines the resources of a large enterprise with the agility and autonomy of a fast-moving startup environment.

Responsibilities:

• Partner with engineering leadership and technical stakeholders to define and build new AI-driven products and features.
• Drive frontend development initiatives while contributing across the full stack when needed.
• Modernise and migrate legacy applications to scalable, maintainable architectures.
• Design and deploy AI-powered agents to support software development, code review, and automation workflows.
• Contribute to specification-driven development practices and engineering standards.
• Build highly scalable applications using modern TypeScript frameworks and server-side rendering technologies.
• Evaluate and integrate emerging AI technologies into software development processes.
• Collaborate across multiple engineering teams to deliver customer-focused solutions.

Must Have Qualifications:

• 8+ years of professional software engineering experience.
• Strong expertise with TypeScript and modern frontend development.
• Experience with server-side rendering frameworks such as NestJS, Remix, or similar technologies.
• Hands-on experience working with Kubernetes in production environments.
• Full-stack engineering background with the ability to work across multiple technologies.
• Bachelor’s degree in Computer Science or a related technical field.

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Influencer Marketing Manager
Surrey, England – 3 days a week in office
Salary up to £60,000

This is a standout opportunity to join a high growth direct to consumer business where influencer marketing is a core acquisition channel. The role offers genuine commercial ownership, with clear accountability for performance, budget and revenue impact rather than brand awareness alone.

The Company
They are a fast growing subscription led consumer brand operating in the health and wellness space. The business combines a strong product proposition with a large and engaged customer base, driven by repeat purchase and long term value. Influencer marketing has recently been moved into the growth function, reflecting its importance as a scalable performance channel. The environment is collaborative, data driven and ambitious, with a flat structure that encourages ownership.

The Role
You will take a hands on, performance focused approach to influencer marketing, managing campaigns end to end.

• Identify, outreach to and build relationships with relevant creators across key platforms
• Forecast customer acquisition and revenue impact from creator partnerships
• Negotiate commercial terms and rates with influencers and agents
• Own and manage a monthly budget with clear return on investment targets
• Deliver campaigns from brief through to reporting and optimisation
• Analyse performance using metrics such as CPA, CAC and LTV
• Refine creator selection and investment decisions based on data
• Collaborate with paid media and external partners to maximise performance
• Support the integration of influencer and affiliate strategies across channels

Your Skills and Experience

• Strong commercial experience managing influencer marketing as an acquisition channel
• Background in a performance led direct to consumer environment is preferred
• Proven ability to own budgets and deliver measurable growth outcomes
• Confidence negotiating directly with creators and managing partnership economics
• Comfortable analysing campaign performance using Excel and core marketing metrics
• Highly organised with strong campaign management and reporting skills
• Experience building relationships with creators, agencies and internal stakeholders
• Hands on approach with a focus on delivery rather than reliance on agencies

How to Apply
If you are interested in this Influencer Marketing Manager role, please apply with your CV to be considered.

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Senior Director, AI, Data & Analytics

London, 2 days a week in office | Up to £165,000

This is a rare opportunity to take ownership of the data, analytics and AI strategy within a highly influential organisation operating in a complex, international environment. Sitting within the senior leadership team, you will play a pivotal role in shaping how data, insight and advanced analytics drive commercial decision-making, operational efficiency and digital transformation.

The Company

This organisation operates within a highly regulated global sector and supports strategic sourcing and supply chain activities across international markets. They are investing significantly in their data, analytics and AI capabilities to ensure data becomes a strategic asset across the business.

The Role

Senior Director, AI, Data & Analytics, you will be responsible for defining and delivering the organisation’s enterprise data, analytics and AI strategy.

Responsibilities include:

• Developing and executing the overall data, analytics and AI roadmap aligned to business priorities
• Leading multiple teams across data engineering, analytics, business intelligence, insight and data science
• Driving adoption of data-driven decision-making across senior leadership and business functions
• Establishing robust data governance frameworks, ownership models and data quality standards
• Shaping the organisation’s approach to AI and machine learning, identifying opportunities to create measurable business value
• Overseeing modern data platforms, architecture and analytics capabilities
• Delivering strategic insight that influences commercial, operational and procurement decisions
• Building strong relationships with senior stakeholders across a complex matrix environment
• Championing data literacy and fostering a culture of innovation, collaboration and continuous improvement
• Managing and developing a high-performing team while supporting ongoing capability growth

Your Skills & Experience

You will bring:

• Experience in a senior leadership role within data, analytics, business intelligence or insights
• A proven track record of developing and implementing enterprise data strategies
• Strong expertise across analytics, reporting, business intelligence and strategic insight
• Experience leading advanced analytics, machine learning or data science functions
• Knowledge of data governance, data quality and enterprise data management best practices
• Experience operating within large, complex or matrix organisations
• The ability to influence executive stakeholders and drive organisational change
• Strong commercial acumen with the ability to translate data into business outcomes
• Experience leading multidisciplinary teams and creating high-performance cultures
• Excellent communication and stakeholder management skills

What They Offer

• Salary up to £165,000
• Senior leadership position with significant strategic influence
• Opportunity to shape and mature enterprise data, analytics and AI capabilities
• Leadership responsibility for a sizeable multidisciplinary team
• Exposure to complex, business-critical transformation initiatives
• Collaborative culture with strong executive sponsorship
• Excellent long-term career progression opportunities

How to Apply

If this sounds like the role for you, apply below!

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Influencer Marketing Manager

Farnham, Surrey (Hybrid – 3 days preferred) | Up to £60,000

The Opportunity

We’re partnering with a high-growth consumer subscription brand looking for an Influencer Marketing Manager to join its expanding Growth team.

This is a performance-focused influencer marketing role where you’ll be responsible for driving measurable customer acquisition and revenue through creator partnerships. Rather than focusing primarily on awareness or PR, you’ll use data, commercial acumen, and relationship-building skills to identify the right creators, forecast returns, negotiate partnerships, and optimise performance.

With influencer marketing now established as one of the business’s strongest acquisition channels, this is a fantastic opportunity to join a fast-growing team and play a key role in scaling an already successful programme.

Key Responsibilities

• Identify, recruit, and build relationships with creators and influencers
• Evaluate and forecast customer acquisition and revenue potential from partnerships
• Negotiate commercial terms, rates, and partnership agreements
• Manage influencer campaigns from outreach through to reporting and optimisation
• Own and manage significant marketing budgets with clear ROI accountability
• Analyse campaign performance using CPA, CAC, LTV, and revenue metrics
• Optimise creator selection and investment decisions through data analysis
• Work closely with paid media teams and external partners
• Help drive integration between influencer and affiliate marketing programmes
• Support expansion across channels including Instagram, YouTube, TikTok Shop, and emerging platforms

What We’re Looking For

• Experience managing influencer marketing as a measurable acquisition channel
• Background within a performance-led DTC or consumer-focused business preferred
• Strong commercial awareness and negotiation skills
• Experience managing budgets and delivering against revenue targets
• Confidence analysing CPA, CAC, LTV, and campaign performance metrics
• Strong Excel and analytical skills
• Excellent creator, talent, and agency relationship management experience
• Highly organised with strong campaign management skills
• Hands-on approach to execution and optimisation
• Comfortable working in a fast-paced, high-growth environment

Ways of Working

• Hybrid working with flexibility on office attendance
• High-growth, entrepreneurial environment
• Flat team structure with direct exposure to senior leadership
• Strong focus on performance, experimentation, and commercial impact
• Opportunity to shape the future direction of influencer marketing within the business

Benefits

• Competitive salary
• Flexible hybrid working
• Opportunity to join a high-growth consumer brand
• Significant ownership and autonomy
• Clear progression opportunities as the team scales
• Exposure to multiple acquisition channels and growth strategies
• Collaborative and ambitious team culture
• Opportunity to directly influence revenue growth and customer acquisition

How to Apply

If you’re a commercially minded influencer marketer who understands how to turn creator partnerships into measurable business growth, we’d love to hear from you.

Apply with your CV or reach out to me!

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LEAD DATA SCIENTIST

UP TO £90,000 + DISCRETIONARY BONUS

LONDON

HYBRID WORKING – 2/3 DAYS PER WEEK

Shape the future of credit risk by building impactful models that directly influence real-world lending decisions, in a role where your work is highly visible and commercially relevant. You’ll take ownership of the full modelling lifecycle, from development through to deployment, working in a fast-paced environment that values both technical excellence and clear communication. This is an opportunity to join a high-growth team where your ideas, expertise, and stakeholder engagement will drive meaningful business outcomes.

THE COMPANY

Join a scaling UK fintech specialising in consumer lending and credit analytics. Focused on building modern data platforms and decisioning tools to improve lending outcomes and known for a collaborative culture and strong growth trajectory within a competitive market.

THE ROLE

As a Lead Data Scientist, you will focus on building and deploying credit risk models within a dynamic, fast-paced environment. You’ll work closely with cross-functional teams to drive insight-led decision making across the business.

Specifically, you can expect to be involved in:

• Developing and maintaining credit risk models, including scorecards, behavioural and acquisition models
• Working on predictive modelling across areas such as fraud, open banking, and competitor analysis
• Deploying models into production environments and monitoring performance
• Collaborating with technical and business teams to deliver data-driven insights
• Contributing to innovation projects exploring new data sources and modelling techniques

SKILLS AND EXPERIENCE

• Experience in consumer credit or lending environments with exposure to credit risk modelling
• Strong hands-on coding skills in Python and SQL
• Experience developing predictive or statistical models in a commercial setting
• Knowledge of cloud-based tools (e.g. AWS SageMaker)
• Strong communication skills with the ability to explain technical concepts clearly
• Exposure to model deployment or end-to-end model lifecycle is advantageous
• Degree in a quantitative field such as Mathematics, Statistics, or similar

BENEFITS

The successful Lead Data Scientist will receive up to £90,000 and a comprehensive benefits package.

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