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Job Opportunity: Principal AI Engineer | Remote or Hybrid

Location: Remote or Hybrid (HQ in [City])

Role Type: Full-Time

Seniority: Principal / Expert

Start Date: ASAP

About the Company

The company is expanding its AI capabilities to build innovative, intelligent systems that power next-generation products and experiences. With an ambitious roadmap centered on generative AI, advanced machine learning, and large-scale automation, they are seeking a highly experienced Principal AI Engineer to lead technical strategy, guide system architecture, and drive innovation across the organization.

This is a pivotal role that will shape the long-term AI direction, influence key engineering decisions, and deliver solutions that have significant impact on the company’s technical evolution.

The Role

The Principal AI Engineer will act as a hands-on technical leader, responsible for designing, developing, and scaling advanced AI systems. The role involves high-level architectural thinking, applied research, and deep technical execution, including oversight of model development, evaluation, deployment, and optimization.

The successful candidate will collaborate with engineering, data, and product stakeholders to define the AI vision while also mentoring teams and setting engineering standards that enable excellence and innovation.

Key Responsibilities

• Lead the design and development of complex AI systems, including generative AI models, LLM-powered applications, and large-scale machine learning infrastructures.
• Define and drive the company’s AI technical strategy, ensuring alignment with business goals.
• Oversee model experimentation, fine-tuning, evaluation, and deployment into production environments.
• Set best practices for ML engineering, model lifecycle management, security, and governance.
• Provide expert guidance on architecture decisions across data, ML, and application layers.
• Collaborate with cross-functional teams to identify high-impact AI opportunities and translate them into technical solutions.
• Mentor and support engineering teams, elevating technical capabilities across the organization.
• Stay ahead of industry developments, research breakthroughs, and emerging AI frameworks.

Required Experience

• 7+ years of experience in AI/ML engineering, with a strong track record of delivering production-grade AI systems.
• Deep expertise in Python and modern ML frameworks (PyTorch, TensorFlow, JAX).
• Extensive hands-on experience working with large language models, generative AI architectures, and related tooling.
• Strong knowledge of model serving, orchestration, distributed training, and scalable inference systems.
• Experience architecting and deploying AI solutions on cloud platforms (AWS/GCP/Azure).
• Proven ability to lead complex AI initiatives, influence technical direction, and guide multidisciplinary teams.
• Strong understanding of data engineering, MLOps, model governance, and ML lifecycle best practices.
• Ability to thrive in a fast-paced environment and navigate ambiguous, greenfield challenges.

What the Company Offers

• A strategic role with significant influence over the AI roadmap and technical foundations.
• Competitive salary, equity, and comprehensive benefits.
• Flexible remote or hybrid working environment.
• Opportunities to work with state-of-the-art AI technologies and contribute to groundbreaking products.
• A culture that values innovation, autonomy, and continuous learning.

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Data Governance Manager

Salary: £75,000

Location: London (Hybrid)

They’re looking for a Data Governance Manager who can turn complexity into clarity, someone who can build trust into data at scale, unlock responsible access, and lay the foundations for analytics, AI, and smarter decisions across the business.

The Opportunity

This role leads the design and delivery of a company-wide data governance strategy to ensure data is trusted, compliant, and consistently used to support decision-making. You will establish clear data ownership and stewardship, working closely with teams across the business to embed accountability and best practice. The role is responsible for setting pragmatic governance policies that balance control with accessibility, enabling innovation while managing risk.

You will champion high standards of data quality, documentation, and transparency, helping colleagues confidently understand and use data. As a senior advocate for governance by design, you will foster a strong culture of data literacy, responsibility, and continuous improvement as the organisation grows.

Role and Responsibilities

This role leads the design and delivery of a modern data governance strategy across a cloud-based data platform, ensuring data is trusted, compliant, and scalable. You will work closely with Data Engineering to define data domains, ownership, and stewardship across the organisation, leveraging platforms such as GCP and BigQuery. The role is responsible for establishing data quality, lineage, metadata, and documentation standards using governance and transformation tooling including Dataplex and dbt.

You will implement and oversee access controls and privacy-by-design processes, including IAM policies and regulatory impact assessments. Acting as a governance leader within the data function, you will enable analytics, ML, and AI use cases while embedding strong data literacy and accountability across the business.

Interview Process

1. Introductory Conversation – Technical Deep Dive
2. Culture Fit with CTO

If interested in this role, apply now!

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Data Governance Manager – Hybrid – London

£70,000 – £75,000

Company

We’re working with a well-established UK insurer operating in a specialist, data-led part of the market. The business combines modern technology with human expertise to support customers whose needs fall outside traditional insurance models.

You’ll be joining a collaborative, growing organisation that has been externally recognised as a great place to work. Hybrid working is embedded, with flexibility around hours and location and a requirement to attend the South West London office at least one day per week.

Responsibilities

This role leads the design and delivery of a modern data governance framework, ensuring data is trusted, compliant, and fit for analytics, ML, and AI use cases.

Key responsibilities include:

• Owning and implementing a scalable, cloud-based data governance strategy

• Defining data domains, ownership, and stewardship with Data Engineering and business teams

• Establishing pragmatic governance policies, standards, and controls

• Partnering with project owners to identify and resolve governance risks

• Championing responsible data access and improving data literacy across the organisation

• Setting standards for data quality, lineage, metadata, and documentation

• Implementing IAM access controls and supporting DPIAs and LIAs

Requirements

Essential:

• Strong experience designing and implementing modern data governance frameworks

• Knowledge of metadata-driven and AI-aware governance best practice

• Ability to work across technical and non-technical stakeholders

• Hands-on experience with data cataloguing, quality, lineage, and governance tooling

• Experience with IAM access controls, DPIAs, and LIAs

• Excellent communication and stakeholder management skills

Desirable:

• Experience with GCP, Dataplex, BigQuery, and/or dbt

• Background in insurance or regulated environments

• Experience delivering data literacy or stewardship initiatives

Benefits

• Flexible hybrid working

• Strong focus on learning and career development

• 25 days’ holiday plus bank holidays (with buy/sell options)

• Private healthcare, life insurance, and pension

• Annual discretionary bonus

• Wellbeing initiatives, charitable giving, and team events

• Product and retail discounts

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Credit Risk Manager

Build, Own & Scale a High-Velocity Lending Machine

NYC | 80% Onsite

Up to $225k

If you’re the kind of Credit Risk leader who sees the world in distributions, who gets a rush from beating expected loss curves, and who feels personally offended when performance drifts 15bps – this is your role.

A fast-growing, profitable consumer lending fintech (backed by top-tier investors) is hiring a Credit Risk Manager to take full ownership of approve/decline, line assignment, pricing, and loan duration strategy. This is a high-impact, highly-visible role where you will be shaping the risk engine of a business that already has strong PMF and ~$70M annualized revenue.

This is not a maintenance job. It’s a build, test, break, optimize, repeat environment. If you want autonomy, intensity, and the mandate to run experiments quickly – not fight through layers of bureaucracy – you’ll thrive.

What you’ll own

You will directly impact portfolio profitability by:

• Designing a risk strategy resilient enough to withstand a 100% increase in losses without margin deterioration
• Eliminating cohort drift through rapid, targeted rule adjustments
• Launching high-velocity experiments in approve/decline, pricing, lines, and duration
• Generating $1M incremental gross profit in year one, $5M by year two

Who this is for

People who crush it in this environment typically come from:

• Credit strategy roles at Capital One, Chime, Stripe, Affirm, Upstart, Nubank, Stori or similar
• Subprime / near-prime consumer lending
• LATAM consumer lending portfolios

You should bring:

• Advanced SQL and complete analytical autonomy
• Experience in non-prime or LATAM lending (required)
• Ability to form strong opinions and defend them with data
• Healthy paranoia – you’re the type who digs 3 layers deeper when numbers look “off”
• Executive-level communication and presence

Why join

You’ll be working with founders who scaled a lending business by applying an experimentation culture. They’re analytical, high-velocity operators who are building a credit product consumers love. The company is:

• Profitable
• Fast-growing (13% growth in November, 14% in October)
• Well-capitalized with both equity and debt
• A performance culture with high standards, deep trust, and zero mediocrity

If you want to own the credit box, move fast, and see your decisions impact P&L within weeks, not quarters, this is the place to do it.

Compensation

• NYC: $175K-$225K base + competitive equity
• Full medical/dental/vision, 401(k), extended parental leave, relocation support

If you’re a top 1% performer in credit risk and want a role where your ideas become experiments and your experiments become millions in profit – DM me or apply directly.

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Senior Manager, Product Analytics

High-Growth SaaS / Marketplace

New York City (4 days onsite)

Up to $200,000 + equity

We’re supporting a fast-scaling, NYC-based venture-backed SaaS/marketplace company that is building out a new analytics leadership layer – and they’re hiring a Senior Manager, Product

Analytics.

This company has grown rapidly over the past few years and is now investing heavily in its data capabilities. You’d join a small but mighty data team that is highly trusted across the organisation, partnering closely with Product, Engineering, and Design to drive measurable product outcomes.

The Product org is half the company and the fastest-growing function – and they need an experienced leader to truly own and elevate product analytics.

This role is a true player-coach: part IC, part leadership, and ideal for someone who knows what “great” looks like in a startup environment and wants the autonomy to build people, processes, and experimentation programs from the ground up.

What you’ll do

• Lead analytics for high-complexity product areas, partnering with senior product leaders.
• Roll up your sleeves: deep-dive analysis, performance measurement, hypothesis validation.
• Stand up experimentation practices (A/B testing, causal inference, etc.).
• Build scalable data models and self-serve analytics.
• Mentor and develop a growing team (starting with one direct report).
• Help define data strategy, influence roadmaps, and evolve analytics best practices.

What we’re looking for

• 7+ years in product analytics, data science, or similar.
• Experienced in b2b SaaS environments
• Strong SQL + experience with Python; experience with tools like BigQuery, dbt, Amplitude/Omni, Hex.
• Prior startup experience; ability to navigate ambiguity and influence visionary stakeholders.
• Experience running experiments and working directly with Product teams.
• People leadership experience (formal or informal).
• Someone excited to build trust with a Product org and unlock a new level of data maturity.

Why this company?

• Backed by top-tier VCs with significant recent investment.
• Data team is highly respected, collaborative, and business-critical.
• Huge greenfield opportunity: experimentation, DS notebooks, modelling.
• Mission-driven company with a strong people-centric culture.
• Fast-growing product organisation hungry for analytics partnership.
• NYC HQ, hybrid environment.

If you’re a product analytics leader who enjoys both strategy and hands-on work – and you thrive in fast-moving, mission-driven environments – this is one worth exploring.

Feel free to DM me for details or to apply anonymously.

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Senior Data Analyst – Go-To-Market (GTM)

New York City

$160k + benefits

I’m partnering with a fast-growing, VC-backed consumer-tech company that’s building one of the most innovative platforms in their category. Their Data team sits at the centre of the business – supporting Product, Growth, Ops, Finance, Engineering and more – and is known internally as a trusted, high-impact partner.

After significant growth over the last 18 months, they’re now hiring a Senior Data Analyst focused on GTM (Sales, Marketing & Growth) to become the subject matter expert for all things commercial analytics.

This is an opportunity to join a small but mighty team (currently six), reporting into a Director of Data who has built the function since Q1 2024. You’ll partner with Marketing, Sales and Growth Product leaders to improve conversion, optimise acquisition channels, and help scale their advisor marketplace.

What You’ll Do

• Own GTM analytics end-to-end, covering marketing performance, sales funnel efficiency, advisor acquisition and revenue insights.
• Develop experimentation frameowrk and run incrementality tests, AB tests, attribution work and high-visibility deep dives.
• Build scalable data models + analytics infrastructure (BigQuery, dbt, Omni, Hex).
• Act as a thought partner to senior stakeholders – shaping hypotheses, defining metrics, driving clarity in KPIs.
• Model and clean GTM data, partnering closely with RevOps / Sales leadership.
• Level up the business with documentation, training and enabling self-serve analytics.
• Influence processes and analytical standards as an early hire during an inflection point.

What They’re Looking For

• 4+ years in analytics, ideally in SaaS, marketplaces or b2b environments.
• Strong background in GTM, sales analytics, performance marketing, or RevOps.
• Expert SQL skills; Python/R helpful.
• Experience with modern data stack: Airbyte, dbt, BigQuery, Omni or equivalents.
• Strong communicator who can influence and challenge stakeholders.
• Pragmatic mindset – focused on real-world business impact over academic analysis.
• Thrives in fast-moving start-up environments with lots of opportunity to build from scratch.

Why This Team?

• Highly respected across the organisation – seen as strategic partners, not just data providers.
• Very people-focused, collaborative and user-centric environment.
• Fast-growing company with upward charts and tons of greenfield GTM analytics work.
• Mission-driven business that empowers entrepreneurs – meaningful problems, fun industry.
• In-person culture in a beautiful NYC office.

Compensation & Details

$120k-$160k base + equity

Unlimited PTO

Full medical, dental & vision

401k with company match

Commuter benefits

NYC (TriBeCa/FiDi), in-office role

If you’d like to learn more or have a background in GTM or growth analytics, feel free to message me directly.

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LEAD CUSTOMER INSIGHT ANALYST

£60,000-£70,000 + 10% Bonus | Leeds (2 days/week) | Healthcare E-commerce

THE COMPANY

UK’s largest online healthcare platform delivering prescriptions directly to patients’ homes. Four core divisions: NHS prescription delivery, private online consultations, pet healthcare, and direct-to-consumer health products. PE-backed, forecasting 20% growth, scaling to £1bn+ turnover.

THE ROLE

Lead the customer insight function and manage a team of 4 Insight Analysts. Full ownership of customer segmentation, LTV modeling, and insight strategy across acquisition, retention, and lifecycle campaigns. Report to Head of Customer Insight. Hands-on leadership role – balance strategic ownership with getting into the data yourself.

WHAT YOU’LL DO

• Own LTV modeling and RFM analysis across the business
• Build customer segmentation frameworks for acquisition and retention programs
• Work with social listening tools and voice of customer data
• Design and analyze A/B tests to optimize campaigns
• Partner with Data Science on predictive models (churn, propensity, scoring)
• Present insights to CMO, CRM Director, and Finance teams
• Manage team of 4 analysts – set direction, develop talent, show what great looks like

KEY PROJECTS

• Azure to Microsoft Fabric migration (starts January)
• Tableau to Power BI migration
• LTV model rollout across organization
• RFM integration into CRM workflows
• Smart Reminders campaign measurement (prescription refills)

WHAT YOU NEED

Essential:

• Strong SQL (querying large datasets, complex joins, optimization)
• Customer segmentation, LTV modeling, or RFM analysis experience
• Understanding of predictive models (churn, propensity, scoring)
• Power BI or Tableau for dashboards
• Team leadership or mentorship experience
• Confident C-suite communicator with energy and presence

Highly Desirable:

• Subscription business or repeat purchase experience
• E-commerce or direct-to-consumer analytics
• Marketing analytics background
• Python or R for data analysis

TECH STACK

SQL (essential) | Power BI (migrating from Tableau) | Azure/Microsoft Fabric | Python (nice to have) | Social listening tools

WHAT’S ON OFFER

• £60K-£70K base + 10% bonus
• Leeds hybrid (2 days/week, near M1)
• Greenfield opportunity to build insight function
• Team will grow significantly if successful
• High visibility with senior leadership
• Mission-driven: helping patients access healthcare

INTERVIEW PROCESS

1. 1-hour with Head of Customer Insight (motivations, fit)
2. Technical task: dataset + brief, create insight output in Power BI, present findings (~90 mins, preferably F2F Leeds)
3. Final interview (senior leadership, offer)

Timeline: 2-3 weeks

HOW TO APPLY

Send CV to Mohammed Buhariwala at Harnham

Keywords: Customer Insight, LTV, RFM, Segmentation, SQL, Power BI, Healthcare, E-commerce, Leeds

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