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Software Engineer – Treasury

Up to £200,000

London (4-5 days a week in office)

If you are looking for a software engineering role that combines technical ownership, business impact, and exposure to front, middle, and operational functions within a sophisticated investment environment, this opportunity offers a rare chance to build and own critical systems that support a global financial organisation. You will work closely with business stakeholders, solve complex problems, and see the direct impact of your work across the organisation.

THE COMPANY

They are a globally operating investment firm with a strong engineering culture and a significant focus on technology, automation, and innovation. Technology teams are embedded within the business and play an essential role in driving operational efficiency and supporting key investment functions.

Their Enterprise Engineering team develops and maintains business critical platforms spanning treasury, fund accounting, compliance, and middle office operations. Engineers are trusted with genuine ownership and are encouraged to contribute ideas, challenge processes, and deliver meaningful improvements.

THE ROLE

As a Software Engineer you will join a high-performing engineering team building mission-critical software that powers core operations across a leading investment firm.

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

• Design, build, and maintain production software used across treasury, fund accounting, compliance, and middle office functions
• Take ownership of systems and applications from development through to deployment and ongoing enhancement
• Collaborate closely with business stakeholders to understand requirements and deliver practical solutions
• Work across a mix of modern Python services and established object-oriented codebases
• Contribute to architectural discussions and system design decisions
• Partner with teams across technology and operations to solve complex business challenges

SKILLS AND EXPERIENCE

The successful Software Engineer will have the following skills and experience:

• Strong commercial software engineering experience with Python in a production environment
• Experience with at least one object-oriented programming language such as Java, C#, or C++
• Strong SQL skills and experience working with relational databases
• Background within buy-side financial services, hedge funds, asset management, or prime brokerage environments
• Ability to communicate technical concepts clearly to both technical and non-technical stakeholders
• Knowledge of treasury, fund accounting, middle office, financing, stock loan, or related operational functions is highly desirable

BENEFITS

The successful Software Engineer will receive the following benefits:

• Salary up to £200,000 – depending on experience

HOW TO APPLY

Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

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ML Engineering Manager

US-based remote

$220,000-$240,000 base + annual bonus + equity

THE COMPANY

Join a high-growth technology company at the forefront of machine learning and risk intelligence. The organization develops advanced AI and machine learning solutions that power critical decision-making at scale, helping businesses manage risk, improve outcomes, and unlock new opportunities.

This is an opportunity to lead a highly technical team operating at the intersection of machine learning, software engineering, experimentation, and applied statistics. The environment is collaborative, research-driven, and focused on delivering measurable business impact through data-informed innovation.

RESPONSIBILITIES

Lead and Develop a High-Performing Team

• Lead, mentor, and develop a team of machine learning engineers and applied scientists, supporting career growth and technical excellence.
• Foster a culture of experimentation, knowledge sharing, continuous learning, and constructive feedback.
• Conduct regular 1:1s, performance discussions, and coaching to help team members achieve their professional goals.
• Drive hiring efforts, participate in technical interviews, and help maintain a high talent bar as the team scales.
• Identify opportunities to improve team processes, collaboration, and delivery effectiveness.

Drive Machine Learning Innovation and Delivery

• Partner with technical leads to shape and refine the roadmap for machine learning initiatives and model improvements.
• Oversee a portfolio of experiments, balancing near-term business objectives with longer-term research and innovation opportunities.
• Apply rigorous evaluation frameworks to ensure model improvements translate successfully from offline testing to production environments.
• Make informed prioritization decisions regarding resource allocation, experimentation, and delivery timelines.
• Guide teams through the full lifecycle of model development, validation, deployment, and release.

Partner with Business and Technical Stakeholders

• Collaborate closely with business stakeholders to define, measure, and deliver against performance objectives.
• Work with platform and infrastructure teams to enhance experimentation capabilities, training pipelines, and ML tooling.
• Translate complex technical concepts and model performance metrics into clear business impact and strategic recommendations.
• Present results, insights, and recommendations to senior leadership and cross-functional stakeholders.

SKILLS AND EXPERIENCE

• 5+ years of experience in Machine Learning, Data Science, Applied AI, or related software engineering disciplines.
• At least 2 years of people management experience (3+ direct reports), including coaching, performance management, and team development; owning team KPIs
• Strong technical depth in machine learning, applied statistics, software engineering, or a combination of these disciplines.
• Experience evaluating and deploying production ML models in large-scale environments, ideally in credit risk, fraud detection, payment processing or similar.
• Proven ability to lead teams through ambiguity, experimentation, and data-driven decision-making.
• Strong understanding of model performance evaluation, experimentation methodologies, and specifically with statistical rigor – Bayesian, causal inference, etc.
• Excellent written and verbal communication skills, with the ability to influence both technical and non-technical audiences.
• Demonstrated ability to balance research initiatives with delivery commitments in a fast-paced environment.
• Passion for engineering quality, reliability, reproducibility, and operational excellence.

BENEFITS

• Competitive compensation package.
• Annual bonus.
• Equity participation opportunities.
• Comprehensive health and wellness benefits.
• Flexible and hybrid working arrangements.
• Professional development and learning opportunities.
• Opportunity to work on cutting-edge machine learning challenges with significant business impact.

HOW TO APPLY

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

KEY TERMS

ML Engineering Manager | Machine Learning Manager | AI Engineering | Data Science Leadership | Applied Machine Learning | MLOps | Experimentation | Statistical Modeling | Team Leadership | Risk Analytics | Predictive Modeling | Production ML | Engineering Management | AI Research | Machine Learning Infrastructure | Python | Model Evaluation | Distributed Teams | Technical Leadership | Data-Driven Decision Making | Bayesian Statistics | Causal Inference | Fraud Detection | Anomaly Detection | Credit Risk | Payment Processing

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Job Title: AI Product Manager

Location: SF Bay Area (Hybrid 2-3 days/week in office)

Salary: $190-210k base

Overview:

A growing financial technology organization is expanding its AI product team and seeking two AI Product Managers to lead business process transformation initiatives powered by AI.

This is not a role focused on AI experimentation or internal productivity tools. The organization already has production AI systems delivering measurable business impact and is now extending those capabilities across multiple business functions. You will own the full lifecycle of AI initiatives, from discovery and process redesign through implementation, quality control, and adoption.

This opportunity is ideal for a hands-on product manager who enjoys ambiguity, thrives in fast-moving environments, and wants to build deep expertise in AI product development while working closely with business leaders, data scientists, and engineering partners.

Key Responsibilities:

• Lead discovery sessions with business stakeholders to understand current workflows, pain points, exceptions, and opportunities for transformation
• Redesign business processes from a 0-to-1 perspective, leveraging AI to fundamentally improve outcomes rather than simply automate existing workflows
• Create detailed product requirements, design briefs, process maps, and solution specifications
• Partner with data science and engineering teams to define AI capabilities, evaluation criteria, and success metrics
• Manage external engineering partners throughout the development lifecycle and ensure delivery aligns with product requirements
• Design quality assurance and evaluation frameworks to assess AI outputs before deployment
• Coordinate pilot programs, user testing, and adoption strategies
• Measure business impact and continuously refine solutions post-launch
• Build strong relationships with stakeholders and drive alignment across technical and non-technical teams

What We’re Looking For:

• 3-5 years of experience in Product Management, Product Strategy, Product Operations, or a related discipline
• Direct experience working on AI-powered products or AI-driven business process transformation initiatives
• Experience leading discovery efforts and gathering requirements from business stakeholders and subject matter experts
• Proven ability to create specifications, requirements documents, design briefs, or other product artifacts that have been used to build and launch solutions
• Strong problem-solving skills with the ability to structure ambiguous challenges independently
• Experience balancing strategic thinking with hands-on execution
• Excellent stakeholder management and communication skills

Nice-to-Have:

• Experience within fintech, lending, payments, insurtech, healthtech, or other regulated industries
• Experience working with external vendors, consultants, or engineering partners
• Familiarity with AI evaluation methodologies, testing frameworks, or model validation approaches
• Exposure to LLM-enabled products, AI agents, or intelligent automation platforms

Benefits:

• Additional performance-based cash compensation potential
• Opportunity to join a company actively deploying AI at scale across multiple business functions
• High degree of ownership and visibility within a rapidly growing AI product organization

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Job Title: AI Product Director

Location: SF Bay Area (Hybrid 2-3 days/week in office)

Salary: $275-290k base

Overview:

An established fintech organization is seeking an AI Product Director to lead the next phase of its enterprise-wide AI transformation program.

This is a highly visible leadership role focused on reimagining business processes through AI and scaling successful AI solutions across multiple functions. You’ll work closely with executive stakeholders, lead a growing AI product team, and oversee multiple concurrent initiatives that are already delivering measurable business value.

The ideal candidate combines strategic product leadership with hands-on execution and has played a direct role in designing and delivering AI-powered products from concept through production.

Key Responsibilities:

• Lead the product strategy and roadmap for enterprise AI transformation initiatives
• Partner with senior business leaders to identify opportunities for AI-driven process redesign
• Translate business objectives into scalable product and solution blueprints
• Oversee multiple AI product initiatives simultaneously, ensuring quality, speed, and business impact
• Manage and mentor a team of AI Product Managers
• Lead discovery efforts with business stakeholders to map current-state processes and identify transformation opportunities
• Evaluate and select external engineering partners and maintain accountability throughout delivery
• Establish quality assurance, evaluation, and governance frameworks for AI solutions
• Partner with technical teams to define success metrics, testing methodologies, and production-readiness standards
• Drive stakeholder adoption, executive alignment, and organizational change management

What We’re Looking For:

• 8-12 years of Product Management experience
• Proven track record delivering AI-enabled products from concept through production deployment
• Demonstrated experience contributing directly to AI solution design, architecture discussions, or product blueprint creation
• Experience leading multiple concurrent product initiatives in fast-paced environments
• Experience managing Product Managers or leading product teams
• Strong vendor management experience and ability to guide third-party delivery partners
• Executive-level communication, presentation, and stakeholder management skills
• Ability to balance strategic vision with hands-on execution

Nice-to-Have:

• Experience in fintech, lending, payments, risk technology, or other regulated industries
• Knowledge of AI governance, explainability, compliance, or model risk concepts
• Familiarity with agentic systems, AI evaluation frameworks, benchmark testing, and modern LLM applications
• Experience scaling AI products within high-growth technology companies

Benefits:

• Additional performance-based cash compensation potential
• Executive visibility and influence across the organization
• Opportunity to build and lead a growing AI product function
• Exposure to large-scale AI transformation initiatives with significant business impact

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Associate Analytics Consultant

London (Hybrid – Monday to Thursday Office / Friday Remote)

Up to £75,000

THE COMPANY

This global data, analytics and technology business helps organisations make smarter lending decisions through market-leading credit data, analytics and consultancy. Working with banks, lenders, telecoms and other major organisations, they develop analytical solutions that improve customer acquisition, credit decisions and portfolio performance. Having recently migrated to the cloud and invested heavily in Python, it’s an exciting time to join a business known for its strong culture and excellent staff retention.

THE ROLE

As an Associate Consultant within the Client Analytics team, you’ll deliver consultancy projects for some of the UK’s largest lenders and financial services organisations. Working directly with clients, you’ll build credit scorecards, develop lending strategies and create statistical models using Credit Reference Agency (CRA) data to help businesses make better lending decisions.

This is a highly commercial, client-facing position where you’ll own analytical projects from discovery through to delivery, presenting insights and recommendations to senior stakeholders while balancing technical excellence with commercial impact.

You’ll be responsible for:

• Developing acquisition and behavioural credit scorecards using CRA data
• Building statistical and machine learning models including logistic and linear regression
• Designing and implementing credit strategies for new and existing customer portfolios
• Analysing large datasets using SQL and Python (or SAS)
• Delivering analytical consultancy projects for external clients across multiple industries
• Presenting technical findings and commercial recommendations to senior stakeholders
• Supporting clients to improve lending decisions through data-driven insights

The role covers the full modelling lifecycle, including sample design, performance analysis, reject analysis and strategy development.

YOUR SKILLS AND EXPERIENCE

You’ll ideally have:

• Experience developing credit scorecards within a credit risk environment
• Strong knowledge of Credit Reference Agency (CRA) data (Equifax, Experian or TransUnion)
• Credit risk experience across model development or strategy
• Strong SQL skills alongside Python or SAS (Python preferred)
• Experience with statistical modelling techniques such as logistic regression or machine learning
• Excellent communication skills with the ability to present to clients and senior stakeholders

THE BENEFITS

• Up to £75,000 salary
• Hybrid working (Monday-Thursday office, Fridays remote)
• Work with a wide range of clients across financial services, telecoms and beyond
• Opportunity to work on varied analytical consultancy projects rather than a single portfolio
• Modern cloud-based technology stack with increasing use of Python
• Strong career progression within a business known for long employee tenure
• Two-stage interview process with a fast turnaround

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 NLP Engineer
Remote (UK) | £100,000 – £120,000 + Benefits

Are you a Master’s or PhD-qualified NLP specialist looking to build AI products at scale? This is an opportunity to join a growing AI and compliance technology business where you’ll own NLP and LLM initiatives from research through to production, working on complex language challenges across enterprise communications data.

The Company
They are an AI-driven software business operating within the RegTech and compliance space, helping large organisations manage risk across digital communications. Their products leverage NLP, machine learning, and LLMs to analyse large volumes of unstructured data across multiple communication channels.

The Role

• Own NLP and AI projects from concept through to production deployment
• Develop models to analyse text, audio, video, and other unstructured data
• Apply both classical NLP techniques and modern LLM approaches
• Build scalable, customer-facing AI products and features
• Collaborate closely with engineering, product, and business teams
• Contribute to the technical direction of a highly experienced AI function

Your Skills & Experience

• Master’s degree or PhD in NLP, Machine Learning, AI, Computer Science, Linguistics, or a related quantitative field
• Commercial experience building and deploying NLP or ML solutions into production
• Strong understanding of both traditional NLP methods and modern LLMs
• Experience taking products from research or prototype stage through to production
• Strong Python and software engineering fundamentals
• Experience working with large-scale unstructured data
• Exposure to compliance, cybersecurity, financial services, or other regulated environments is beneficial

What They Offer

• £100,000 – £120,000 base salary
• Fully remote UK working
• High levels of ownership and autonomy
• Opportunity to work alongside a highly experienced AI team
• Annual company and engineering meetups
• Clear progression opportunities as the business grows

How to Apply
If you have strong NLP and LLM expertise and enjoy building production-grade AI products, apply today to find out more.

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Senior Applied AI Engineer

Hybrid in Greater Boston

$240,000 – $260,000 base + equity

THE COMPANY

Our client is a high-growth AI and technology company focused on helping investors and business leaders unlock value through artificial intelligence. Operating at the intersection of AI, business transformation, and advanced analytics, the organization has developed a proprietary platform that creates a digital representation of how businesses operate, enabling data-driven decision-making and AI-powered operational improvements.

Backed by deep expertise from leading consulting, technology, and quantitative organizations, the company is building a world-class team dedicated to redefining how businesses are analyzed, transformed, and improved through AI.

RESPONSIBILITIES

• Define requirements, develop prototypes, and partner with engineers, analysts, researchers, and business stakeholders to deliver AI-powered product enhancements.
• Identify product gaps and workflow inefficiencies through close collaboration with internal users and subject matter experts.
• Design and build LLM-powered solutions that accelerate product development and improve operational outcomes.
• Develop evaluation frameworks and quality measurement capabilities for AI-driven features.
• Partner with software engineering teams to productionize new capabilities and drive adoption across user workflows.
• Lead technical design reviews, share best practices, and mentor engineers and analysts.
• Stay at the forefront of emerging AI models, agent frameworks, and development tooling.

SKILLS AND EXPERIENCE

Required

• 6-10 years of experience building data products, software platforms, or AI-driven solutions.
• Degree in a quantitative discipline preferred.
• Hands-on experience with LLMs, including prompt engineering, context management, agent development, and tool selection.
• Proven ability to define evaluation methodologies and quality standards for AI systems.
• Strong Python and SQL expertise.
• Experience translating ambiguous business requirements into scalable technical solutions.
• Strong commercial acumen and the ability to connect technical outputs to measurable business outcomes.
• Excellent communication skills with experience working across technical and non-technical audiences.
• Automation-first mindset with a track record of building reusable tools and workflows.
• Demonstrated success delivering outcomes in fast-paced, ambiguous environments.

Preferred

• Experience deploying AI and LLM solutions into production environments using cloud platforms such as GCP or equivalent.
• Familiarity with observability, tracing, and evaluation tooling for AI applications.
• Experience with agent-based development workflows and modern AI engineering toolchains.
• Experience with LangChain, LangGraph, or similar orchestration frameworks.
• Knowledge of LLM evaluation approaches, including LLM-as-judge methodologies.
• Financial literacy and the ability to understand operational and commercial performance metrics.
• Experience in solutions engineering, consulting, private equity, or other client-facing environments.
• Track record of building bespoke solutions and successfully scaling them into broader product offerings.

BENEFITS

• Competitive cash compensation of $240,000-$260,000.
• Flexible working arrangements, including fully remote opportunities.
• Opportunity to work on cutting-edge AI challenges with significant business impact.
• Exposure to senior business leaders, investors, and transformative AI initiatives.
• High-growth environment with substantial career development opportunities.

HOW TO APPLY

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

KEY TERMS

Senior Applied AI Engineer | Artificial Intelligence | LLMs | Machine Learning | Generative AI | Agentic AI | Python | SQL | LangChain | LangGraph | GCP | AI Evaluation | AI Product Development | Automation | Business Transformation | Data Platforms | Applied AI | Consulting | Private Equity | Remote | Hybrid Jobs

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Head of Commercial Analytics

London | Hybrid – 3 days per week
£120,000-£140,000 + benefits

An exciting opportunity has arisen for a Head of Commercial Analytics to join a high-growth, data-led business in London.

This is a senior role with significant exposure across the wider organisation, working closely with leadership teams to use data and insight to support commercial strategy and decision-making.

The Role

You’ll lead and shape the commercial analytics agenda, helping the business understand performance, identify opportunities and make better, data-driven decisions.

You’ll be responsible for:

• Leading commercial analytics across key areas of the business
• Using data to identify trends, opportunities and areas for improvement
• Partnering with senior stakeholders to solve complex commercial problems
• Developing clear, actionable insight from large and varied datasets
• Supporting strategic planning and decision-making
• Improving analytical approaches, processes and ways of working
• Communicating findings clearly to both technical and non-technical audiences
• Balancing strategic thinking with a hands-on approach to analysis

About You

We’re looking for an experienced analytics leader who can combine strong technical ability with commercial judgement.

You’ll ideally have:

• Significant experience in commercial, customer, strategy or product analytics
• Excellent SQL and Python skills
• A strong academic background, ideally within a STEM discipline
• Experience working with senior stakeholders and influencing decisions
• Strong problem-solving and analytical skills
• The ability to simplify complex problems and communicate insights clearly
• A pragmatic, entrepreneurial approach and the confidence to operate in a fast-moving environment

The Opportunity

This is a chance to join a growing, ambitious business at an exciting stage of its journey. You’ll have genuine ownership over the commercial analytics agenda and the opportunity to influence decisions at a senior level.

London | Hybrid – 3 days per week | £120,000-£140,000 + benefits

Find out more and apply via the link below!

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Senior Analytics Engineer

Oxford/ Hybrid

Up to £65,000

Overview

This is an excellent opportunity for a Senior Analytics Engineer to join a growing, data-driven organisation at a key stage of its development. You’ll play a central role in modernising data platforms, improving data accessibility, and supporting international growth initiatives while working with a modern Microsoft technology stack.

The Company

They are a specialist information and data services organisation that helps businesses make informed decisions through high-quality data, analytics, and intelligence solutions. With a growing international presence and continued investment in technology, they are expanding their data capabilities to support new products, markets, and customer demands.

The business operates a cloud-first data environment and is committed to building scalable, reliable, and innovative data solutions. This role sits within a collaborative data function, working closely with engineering, analytics, and data acquisition teams.

The Role

As a Senior Analytics Engineer, you will take ownership of a key area of the data platform and play an important role in enhancing data quality, performance, and scalability.

Key responsibilities include:

• Designing, building, and optimising ELT pipelines across cloud-based data platforms.
• Developing and maintaining data solutions using Azure, Azure Data Factory, Microsoft Fabric, and SQL.
• Supporting data migration and platform modernisation initiatives.
• Improving data processing efficiency and reducing data latency across multiple regions.
• Working with both modern and legacy data models to deliver scalable solutions.
• Developing and maintaining Power BI reporting and analytics capabilities.
• Implementing best practices around data quality, documentation, governance, and maintainability.
• Collaborating with technical and non-technical stakeholders to translate business requirements into robust data solutions.
• Contributing to architectural decisions and continuous improvement across the data platform.

Your Skills & Experience

To be successful in this Senior Analytics Engineer role, you should have:

• Strong commercial expertise in SQL, which is a core requirement for the position.
• Experience working with Azure Data Factory (ADF), Microsoft Fabric, and Azure cloud technologies.
• Strong knowledge of ELT pipeline development, optimisation, and data integration.
• Experience supporting data migration projects and modernising existing data environments.
• Expertise in Power BI and data visualisation.
• Experience working with legacy data models while delivering improvements and modernisation.
• Knowledge of Agile or Scrum delivery environments.
• The ability to work independently, take ownership of projects, and communicate effectively with a range of stakeholders.

Desirable experience includes:

• Python for automation or data scraping.
• C# development experience.
• Azure DevOps, source control, and branching strategies.
• Data warehousing, datamarts, and reporting databases.
• Exposure to Data Science workflows and concepts.

What They Offer

• £65,000 base salary.
• Comprehensive benefits package.
• Hybrid working with 2 days per week in the Oxford office.
• Opportunity to own and shape a key area of the data platform.
• Exposure to large-scale international data initiatives.
• A collaborative environment with strong investment in data and technology.
• Clear opportunities to influence technical strategy and contribute to platform growth.

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Vice President, Data Engineering

Dallas, TX | $230K-$300K total compensation (includes bonus)

This is a high-impact leadership opportunity to shape enterprise-wide data platforms within a globally scaled, highly regulated environment. You will play a central role in standardising financial and risk data across divisions, combining hands-on engineering with strategic leadership in a true player-coach capacity.

The Company

Globally recognised financial services organisation operating at significant scale across investment banking, asset management and trading. Their centralised engineering function supports critical areas including finance, risk and compliance. The business is investing heavily in data platform convergence, governance and regulatory readiness, with a clear mandate to standardise and unify data across the organisation. This creates a unique opportunity to influence transformation at scale.

The Role

You will lead the design and delivery of modern data engineering platforms that enable consistent, governed financial data across multiple business units. Your responsibilities will include:

* Leading architecture and development of scalable data pipelines and platforms
* Driving data standardisation across finance, risk and treasury functions
* Improving data lineage, governance and regulatory reporting alignment
* Acting as a hands-on technical lead, including code reviews and system design
* Supporting the adoption of cloud-based data platforms using AWS and distributed processing tools

Your Skills & Experience

* Strong commercial experience in data engineering and backend systems
* Expertise in distributed data processing using Spark or similar technologies
* Experience with cloud platforms, particularly AWS and tools such as Databricks or Glue
* Proven capability in designing data models for financial or regulatory systems
* Strong system design and architecture skills
* Experience leading or mentoring engineering teams in complex environments
* Background in financial services or another highly regulated domain

What They Offer

* Competitive VP-level package with total compensation typically between $275K and $300K
* Bonus and equity as part of a comprehensive rewards structure
* Opportunity to lead large-scale data transformation across critical financial systems
* Clear progression within a global engineering organisation
* Exposure to senior stakeholders and high-impact regulatory initiatives

To Apply for this Job Click Here

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Principal Software Engineer

Remote (US East Coast preferred) | Up to $300,000 Total Cash Compensation + Equity

A great opportunity to join an early-stage AI software business at a defining point in its growth. As the senior technical leader within a small but rapidly expanding engineering function, you will have significant influence over architecture, engineering standards, product direction, and team development while remaining deeply hands-on in the code.

The Company

They are a profitable AI business helping organisations identify practical, high-impact opportunities for AI adoption and transformation. Their flagship platform combines data, process modelling, and AI technologies to create digital representations of organisations, enabling leaders to make more informed operational and investment decisions.

The Role

This Principal Software Engineer role is best suited to a hands-on technical leader who enjoys building, mentoring, and solving complex engineering challenges.

You will:

• Lead the architecture, development, and scaling of a cloud-native AI platform
• Act as the senior technical contributor across a multi-disciplinary team of software engineers, data engineers, and data scientists
• Drive engineering best practices, software quality, and code review standards
• Build and deploy production-grade AI and LLM-powered applications
• Own technical decision-making across application architecture, infrastructure, and platform scalability
• Partner closely with product and business stakeholders to deliver commercially valuable solutions
• Play a key role in shaping the future engineering organisation as headcount grows

Your Skills & Experience

• Strong commercial experience building software applications in Python
• Experience as a Principal Engineer, Staff Engineer, Technical Lead, Founding Engineer, or similar senior individual contributor role
• Proven track record delivering production AI or LLM-based applications beyond experimentation or proof-of-concept work
• Experience with modern LLM frameworks and orchestration tooling such as LangChain, LangGraph, or similar technologies
• Strong understanding of multi-model AI environments and working with leading foundation model providers
• Experience owning cloud infrastructure and deployment pipelines, ideally within Google Cloud Platform
• Knowledge of services such as Cloud Run, BigQuery, IAM, containerisation, and CI/CD tooling
• Experience working within startup, or other lean engineering environments
• Interest in AI adoption, automation, analytics, or operational transformation projects

What They Offer

• Up to $300,000 total cash compensation including bonus
• High levels of ownership and technical influence
• Opportunity to shape engineering culture, processes, and platform architecture
• Greenfield environment with modern technologies and no legacy estate
• Clear career progression as the engineering organisation scales

How to Apply

If you are a hands-on Principal Software Engineer with strong Python expertise, production LLM experience, and a passion for building and mentoring within a growing AI business, please apply for a confidential discussion.

To Apply for this Job Click Here

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AI Product Director

Location: San Francisco, CA

Compensation: $300,000pa + Bonus + Equity

Drive Enterprise AI Transformation

We’re partnering with a rapidly growing financial technology organisation that is scaling an AI-first operating model across its business.

This is a rare opportunity for an experienced AI Product leader to shape the future of an organisation undergoing significant transformation. You’ll work directly with executive leadership to define the AI roadmap, redesign business processes through AI and Data Science, and build a high-performing AI Product function.

This isn’t a role focused on incremental feature delivery. We’re looking for someone who has fundamentally reimagined how organisations operate, leveraging AI to redesign workflows, decision-making processes, and customer experiences from the ground up.

You’ll lead multiple concurrent AI initiatives, manage AI Product Managers, partner closely with Data Science and Engineering teams, and act as the central leader responsible for translating AI strategy into measurable business outcomes.

What You’ll Be Doing

AI Strategy & Transformation

• Partner with executive leadership to define and execute the organisation’s AI strategy
• Create and own a multi-year AI product roadmap
• Identify opportunities to transform business processes using AI and Data Science
• Redesign workflows from first principles rather than simply digitising existing processes
• Drive adoption of AI across customer, operational, and commercial functions

Product Design & Solution Architecture

• Co-design AI product blueprints and transformation programmes
• Translate business objectives into detailed product specifications and buildable solutions
• Define AI workflows, user journeys, decision frameworks, acceptance criteria and success metrics
• Evaluate proposed technical solutions and ensure they align with business intent
• Own product design decisions from concept through deployment

Leadership & Delivery

• Lead and develop a growing team of AI Product Managers
• Oversee multiple concurrent AI initiatives and transformation workstreams
• Coordinate execution across Data Science, Engineering, Product and business stakeholders
• Establish standards for product design, process mapping and AI solution development
• Ensure projects maintain quality, velocity and business alignment

Vendor & Partner Management

• Manage external AI and engineering partners through the full delivery lifecycle
• Evaluate technical proposals and architectural recommendations
• Hold partners accountable against agreed specifications and acceptance criteria
• Ensure the organisation owns the strategy and requirements while partners execute against clearly defined deliverables

Organisational Change & Adoption

• Drive stakeholder alignment across business functions
• Lead executive conversations around AI opportunity, risk and prioritisation
• Build confidence and adoption amongst end-user communities
• Communicate programme outcomes, risks and strategic trade-offs to Senior Leadership

What We’re Looking For

Essential Experience

• 8+ years of Product Management experience with significant AI Product leadership exposure
• Proven 0-1 experience building AI products, capabilities or operating models
• Demonstrated success reimagining business processes through AI and Data Science
• Experience taking AI-enabled solutions from concept through live production deployment
• Strong product design capability, not just delivery management
• Experience leading multiple AI initiatives simultaneously
• Track record managing both internal and external engies simultaneously
• Strong cross-functional leadership across Product, Engineering and Data Science

AI & Product Expertise should be able to:

You

• Design AI products in meaningful detail
• Translate business problems into AI-enabled solutions
• Understand modern AI product development practices
• Evaluate AI architectures and product approaches
• Partner effectively with Data Science and Engineering teams
• Drive roadmap decisions with confidence

Leadership Profile

We’re particularly interested in candidates who combine:

• Strategic thinking with hands-on execution
• AI innovation with operational discipline
• Executive presence with practical delivery experience
• Vision-setting with day-to-day accountability

Ideal Background

We are particularly interested in candidates coming from:

• High-growth FinTech businesses
• AI-native technology companies
• Growth-stage product organisations
• Organisations where AI has been deployed to transform core business processes

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