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Product Owner, Knowledge Graphs

Amsterdam (Hybrid) | €70,000 – 75,000 + Benefits

Are you passionate about turning complex legal knowledge into intelligent, scalable digital products?

This is an opportunity to join a forward-thinking organisation at the intersection of LegalTech, Data, and AI, where you will shape the roadmap for a knowledge graph platform that supports legal professionals in making faster, better-informed decisions.

The Company

They are a well-established professional services organisation investing heavily in data and AI-driven innovation. Their teams work on complex information challenges, developing products that transform how knowledge is captured, connected, and consumed.

With a strong focus on emerging technologies, they are building advanced knowledge management capabilities that enable better search, discovery, and insight generation. This role sits within a growing product function with significant visibility and impact across the business.

The Role

As Product Owner, you will lead the development and evolution of a knowledge graph platform designed to connect legal data, documents, expertise, and processes.

Key responsibilities include:

• Own and prioritise the product backlog for knowledge graph and semantic data initiatives
• Translate business and user needs into clear product requirements and user stories
• Work closely with data engineers, knowledge engineers, software developers, and legal subject matter experts
• Define and communicate product vision, roadmap, and delivery priorities
• Drive adoption of graph technologies to improve search, discovery, and knowledge management capabilities
• Balance stakeholder requirements with technical feasibility and strategic objectives
• Monitor product performance and user feedback to inform future enhancements
• Support the delivery of AI and data products that leverage structured knowledge assets

Your Skills & Experience

• Strong commercial experience as a Product Owner, Product Manager, or similar product leadership role
• Experience delivering data, AI, analytics, or knowledge management products
• Understanding of knowledge graphs, semantic technologies, ontology management, or graph databases such as Neo4j
• Ability to engage effectively with both technical and non-technical stakeholders
• Experience gathering requirements and translating them into actionable product roadmaps
• Strong prioritisation and decision-making capabilities
• Familiarity with Agile delivery methodologies and product development best practices
• Interest in LegalTech, professional services, enterprise knowledge management, or information retrieval

What They Offer

• Salary of €70,000 – 75,000 depending on experience
• Performance-related bonus
• Comprehensive benefits package
• Hybrid working model based in Amsterdam
• Exposure to cutting-edge AI, data, and knowledge graph technologies
• Clear career progression within a growing product and innovation function
• Opportunity to influence the direction of a business-critical platform

How to Apply

If you are a Product Owner with experience in knowledge graphs, semantic technologies, or data-driven products and are looking to make a meaningful impact within an innovative legal environment, apply today to learn more.

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Data Analyst

Location: Austin, TX or Miami, FL (Hybrid, 4 days onsite)
Compensation: Up to $140,000 base + Sign-On Bonus
Work Authorization: U.S. Citizen or Green Card Holder only. No sponsorship available.

A rapidly growing financial services organization is seeking a Data Analyst to join its expanding analytics team. This role will partner closely with Finance, Compliance, HR, and business leaders to deliver reporting, analytics, and data-driven insights across the organization.

What You’ll Do

• Build and enhance reporting and analytics solutions for business stakeholders.
• Analyze complex datasets and translate findings into actionable insights.
• Partner with cross-functional teams to solve business problems using data.
• Support data pipelines, reporting infrastructure, and data quality initiatives.
• Develop dashboards and visualizations to drive decision-making.

What We’re Looking For

• Strong SQL skills (primary technical requirement).
• Experience with Tableau (or similar BI tools), Databricks, and dbt.
• Strong analytical and problem-solving abilities.
• Experience working directly with business stakeholders.
• Bachelor’s degree in Mathematics, Engineering, Information Systems, or a related quantitative field preferred.

Ideal Candidate

• Highly detail-oriented with a strong quality mindset.
• Able to bridge technical and business conversations.
• Comfortable owning projects from requirements gathering through delivery.
• Thrives in a fast-paced, high-growth environment.

Apply today to join a growing team with significant visibility, impact, and long-term career growth opportunities.

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Director of Quality Engineering

Location: Fully Remote – U.S.
Travel: Occasional travel to Dallas, TX, potentially once per quarter
Compensation: $245,000-$270,000 base + 20% annual bonus
Benefits: Healthcare + 401(k)
Work Authorization: U.S. Citizens and Green Card holders only – no sponsorship

Candidates cannot currently reside in California, New York, Hawaii, North Dakota, Oregon, Rhode Island, Washington, or Wyoming.

About the Company

A large, mission-driven healthcare organization is investing heavily in modern engineering, automation, AI, and customer-facing digital experiences.

Operating at significant enterprise scale, the organization is accelerating its technology strategy and building modern capabilities across software engineering, data, AI, and digital products.

As engineering velocity increases, leadership is rethinking how quality is built into the software development lifecycle. The organization is now establishing a modern, automation-first Quality Engineering function capable of supporting both traditional software and the next generation of AI-enabled products.

About the Role

The Director of Quality Engineering will lead the transformation of an established, predominantly manual QA environment into a modern, automation-first Quality Engineering organization.

This is a true build opportunity.

Today, an existing QA team supports approximately 25 development teams, but there is no dedicated SDET function. The incoming Director will own the existing QA organization while building the technical capabilities, automation frameworks, SDET talent, standards, tooling, and operating model required for the future.

The immediate priority is establishing scalable deterministic automation across API, UI, integration, regression, performance, accessibility, and end-to-end testing while embedding quality directly into CI/CD and engineering workflows.

Longer term, the organization has an ambitious vision for AI-enabled and agentic testing-moving toward intelligent systems capable of generating tests, identifying defects, selecting regression coverage, and eventually executing increasingly complex testing workflows based on intent.

The successful candidate will be a builder who has transformed Quality Engineering before and is excited by the opportunity to create the strategy rather than inherit one.

Key Responsibilities

• Define and execute the enterprise Quality Engineering strategy
• Lead the transformation from manual-heavy QA toward an automation-first engineering model
• Build a multi-year roadmap across automation, tooling, talent, metrics, and operating model modernization
• Establish and scale a dedicated SDET and test automation capability
• Lead the existing QA organization through its transition toward a more technical, automation-oriented model
• Design scalable automation frameworks across API, UI, integration, regression, performance, accessibility, and end-to-end testing
• Embed automated testing into CI/CD pipelines, development workflows, and release gates
• Establish shift-left testing practices and reduce reliance on late-stage manual validation
• Define enterprise standards for quality gates, release readiness, regression testing, defect triage, and production validation
• Establish meaningful metrics around automation coverage, defect leakage, test effectiveness, release predictability, and production stability
• Introduce AI-enabled approaches to test generation, maintenance, defect analysis, regression selection, and synthetic data
• Partner with Engineering, Product, Architecture, Security, Data, AI, and Operations teams
• Establish evaluation and quality practices for AI-enabled and agentic systems
• Support validation of AI behavior, guardrails, traceability, safety, errors, fallback behavior, and human-in-the-loop workflows
• Build, coach, and develop technical Quality Engineering talent

Must Haves

• 15+ years of experience across Quality Engineering, software quality, test automation, Software Engineering, or related technology delivery
• 7+ years of Quality Engineering, SDET, automation, QA, or engineering leadership
• Proven experience transforming manual QA environments into automation-first Quality Engineering organizations
• Experience building or substantially scaling test automation capabilities
• Experience leading technical Quality Engineering, SDET, or engineering-adjacent teams
• Deep understanding of modern test automation architecture and frameworks
• Strong experience across API, UI, integration, regression, performance, and end-to-end testing
• Experience embedding automated testing into CI/CD pipelines and release gates
• Strong understanding of shift-left testing and engineering-owned quality
• Experience defining quality gates, release-readiness standards, automation metrics, and testing strategy
• Strong understanding of modern software engineering, Agile, CI/CD, and DevSecOps
• Experience leading significant technical and organizational transformation
• Ability to influence Engineering, Product, Architecture, Security, Operations, and executive stakeholders
• Bachelor’s degree in Computer Science, Engineering, Information Systems, or another related technical discipline

AI & Next-Generation Quality Engineering

The strongest candidates will bring a point of view on where Quality Engineering is heading-not simply how testing has traditionally been done.

Experience or strong technical exposure in areas such as the following will stand out:

• AI-assisted test generation and maintenance
• Intelligent regression selection
• AI-assisted defect analysis
• Synthetic test data
• AI evaluation frameworks
• GenAI and conversational-system testing
• Expected-behavior and guardrail validation
• Hallucination and error detection
• Human-in-the-loop validation
• Agentic or intent-based testing
• Automated monitoring and feedback loops for AI systems

The longer-term objective is not simply to automate manual test cases. It is to create a Quality Engineering capability capable of supporting increasingly intelligent and autonomous software systems.

Nice to Have

• Playwright, Maestro, or comparable modern automation frameworks
• Experience building an SDET organization from the ground up
• Experience transforming an established manual QA workforce
• AI, GenAI, machine learning, or agentic-system testing experience
• Experience with customer-facing or mission-critical digital products
• Healthcare or health technology experience
• Financial services, life sciences, or another regulated/high-trust industry
• Experience managing vendor, partner, or distributed QA resources
• Master’s degree in a relevant technical discipline

Healthcare experience is valuable but is not the primary requirement for this search. Deep automation expertise and experience building technical Quality Engineering capabilities are significantly more important.

Why Join

• Build an enterprise Quality Engineering capability from a near-blank slate
• Define the automation strategy, frameworks, tooling, standards, and operating model
• Establish a dedicated SDET capability
• Transform an established manual QA environment rather than simply optimize an already mature automation program
• Own both the technical strategy and organizational evolution
• Build automation directly into modern engineering and CI/CD workflows
• Help define how Quality Engineering evolves for GenAI and agentic systems
• Work toward an ambitious longer-term vision for intent-based and agentic testing
• Partner directly with senior Engineering, Product, Architecture, Data, and AI leaders
• Work on customer-facing technology where quality and reliability have meaningful real-world impact
• Fully remote with limited travel to Dallas, TX

To Apply for this Job Click Here

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Director of Quality Engineering

Location: Fully Remote – U.S.
Travel: Occasional travel to Dallas, TX, potentially once per quarter
Compensation: $245,000-$270,000 base + 20% annual bonus
Benefits: Healthcare + 401(k)
Work Authorization: U.S. Citizens and Green Card holders only – no sponsorship

Candidates cannot currently reside in California, New York, Hawaii, North Dakota, Oregon, Rhode Island, Washington, or Wyoming.

About the Company

A large, mission-driven healthcare organization is investing heavily in modern engineering, automation, AI, and customer-facing digital experiences.

Operating at significant enterprise scale, the organization is accelerating its technology strategy and building modern capabilities across software engineering, data, AI, and digital products.

As engineering velocity increases, leadership is rethinking how quality is built into the software development lifecycle. The organization is now establishing a modern, automation-first Quality Engineering function capable of supporting both traditional software and the next generation of AI-enabled products.

About the Role

The Director of Quality Engineering will lead the transformation of an established, predominantly manual QA environment into a modern, automation-first Quality Engineering organization.

This is a true build opportunity.

Today, an existing QA team supports approximately 25 development teams, but there is no dedicated SDET function. The incoming Director will own the existing QA organization while building the technical capabilities, automation frameworks, SDET talent, standards, tooling, and operating model required for the future.

The immediate priority is establishing scalable deterministic automation across API, UI, integration, regression, performance, accessibility, and end-to-end testing while embedding quality directly into CI/CD and engineering workflows.

Longer term, the organization has an ambitious vision for AI-enabled and agentic testing-moving toward intelligent systems capable of generating tests, identifying defects, selecting regression coverage, and eventually executing increasingly complex testing workflows based on intent.

The successful candidate will be a builder who has transformed Quality Engineering before and is excited by the opportunity to create the strategy rather than inherit one.

Key Responsibilities

• Define and execute the enterprise Quality Engineering strategy
• Lead the transformation from manual-heavy QA toward an automation-first engineering model
• Build a multi-year roadmap across automation, tooling, talent, metrics, and operating model modernization
• Establish and scale a dedicated SDET and test automation capability
• Lead the existing QA organization through its transition toward a more technical, automation-oriented model
• Design scalable automation frameworks across API, UI, integration, regression, performance, accessibility, and end-to-end testing
• Embed automated testing into CI/CD pipelines, development workflows, and release gates
• Establish shift-left testing practices and reduce reliance on late-stage manual validation
• Define enterprise standards for quality gates, release readiness, regression testing, defect triage, and production validation
• Establish meaningful metrics around automation coverage, defect leakage, test effectiveness, release predictability, and production stability
• Introduce AI-enabled approaches to test generation, maintenance, defect analysis, regression selection, and synthetic data
• Partner with Engineering, Product, Architecture, Security, Data, AI, and Operations teams
• Establish evaluation and quality practices for AI-enabled and agentic systems
• Support validation of AI behavior, guardrails, traceability, safety, errors, fallback behavior, and human-in-the-loop workflows
• Build, coach, and develop technical Quality Engineering talent

Must Haves

• 15+ years of experience across Quality Engineering, software quality, test automation, Software Engineering, or related technology delivery
• 7+ years of Quality Engineering, SDET, automation, QA, or engineering leadership
• Proven experience transforming manual QA environments into automation-first Quality Engineering organizations
• Experience building or substantially scaling test automation capabilities
• Experience leading technical Quality Engineering, SDET, or engineering-adjacent teams
• Deep understanding of modern test automation architecture and frameworks
• Strong experience across API, UI, integration, regression, performance, and end-to-end testing
• Experience embedding automated testing into CI/CD pipelines and release gates
• Strong understanding of shift-left testing and engineering-owned quality
• Experience defining quality gates, release-readiness standards, automation metrics, and testing strategy
• Strong understanding of modern software engineering, Agile, CI/CD, and DevSecOps
• Experience leading significant technical and organizational transformation
• Ability to influence Engineering, Product, Architecture, Security, Operations, and executive stakeholders
• Bachelor’s degree in Computer Science, Engineering, Information Systems, or another related technical discipline

AI & Next-Generation Quality Engineering

The strongest candidates will bring a point of view on where Quality Engineering is heading-not simply how testing has traditionally been done.

Experience or strong technical exposure in areas such as the following will stand out:

• AI-assisted test generation and maintenance
• Intelligent regression selection
• AI-assisted defect analysis
• Synthetic test data
• AI evaluation frameworks
• GenAI and conversational-system testing
• Expected-behavior and guardrail validation
• Hallucination and error detection
• Human-in-the-loop validation
• Agentic or intent-based testing
• Automated monitoring and feedback loops for AI systems

The longer-term objective is not simply to automate manual test cases. It is to create a Quality Engineering capability capable of supporting increasingly intelligent and autonomous software systems.

Nice to Have

• Playwright, Maestro, or comparable modern automation frameworks
• Experience building an SDET organization from the ground up
• Experience transforming an established manual QA workforce
• AI, GenAI, machine learning, or agentic-system testing experience
• Experience with customer-facing or mission-critical digital products
• Healthcare or health technology experience
• Financial services, life sciences, or another regulated/high-trust industry
• Experience managing vendor, partner, or distributed QA resources
• Master’s degree in a relevant technical discipline

Healthcare experience is valuable but is not the primary requirement for this search. Deep automation expertise and experience building technical Quality Engineering capabilities are significantly more important.

Why Join

• Build an enterprise Quality Engineering capability from a near-blank slate
• Define the automation strategy, frameworks, tooling, standards, and operating model
• Establish a dedicated SDET capability
• Transform an established manual QA environment rather than simply optimize an already mature automation program
• Own both the technical strategy and organizational evolution
• Build automation directly into modern engineering and CI/CD workflows
• Help define how Quality Engineering evolves for GenAI and agentic systems
• Work toward an ambitious longer-term vision for intent-based and agentic testing
• Partner directly with senior Engineering, Product, Architecture, Data, and AI leaders
• Work on customer-facing technology where quality and reliability have meaningful real-world impact
• Fully remote with limited travel to Dallas, TX

To Apply for this Job Click Here

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Staff Engineer, Data Engineering

Fully Remote – within the US | Up to $220,000 Base

Seeking a senior-level Data Engineering leader to drive enterprise data architecture, scalable data platforms, and AI-powered initiatives across multiple business units. This role combines hands-on engineering with technical leadership, influencing data strategy, architecture standards, and cross-functional collaboration.

Key Requirements:

• 8+ years in Data Engineering, Data Architecture, or related field
• Strong experience with Snowflake, BigQuery, or similar cloud data platforms
• Expertise building large-scale data pipelines (batch and streaming)
• Python, Data Architecture, and distributed data systems experience
• Background with AI/ML, LLMs, or production AI solutions
• Proven technical leadership, mentorship, and architecture ownership
• Experience with Kafka, Spark, Airflow, Kubernetes, or similar technologies preferred

Work Authorization: GC or USC only.
Location: Fully Remote.

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Forecasting Analyst – Omnichannel | 6-Month FTC | Up to £55k

I’m currently recruiting for a Forecasting Analyst to join a growing Revenue Growth Management team within a leading UK retail business.

This is a 6-month FTC, paying up to £55k, and would suit a commercially minded analyst with experience in retail, merchandising, trading or forecasting.

The role:

• Build sales forecasts across Retail & E-commerce

• Work closely with Trading, Retail, Category, Supply Chain, Finance and Demand Planning

• Analyse trading activity, promotions and performance

• Support sales and margin forecasting

• Present insights and recommendations to senior stakeholders

• Deliver ad-hoc commercial analysis to support decision-making

Looking for:

• Strong Excel and analytical skills

• Forecasting, merchandising or commercial analytics experience

• Retail/omnichannel background

• Strong commercial acumen

• Excellent stakeholder and relationship-management skills

• Someone commercially focused rather than highly technical

London
Up to £55k
6-month FTC

Interested? Find out more and apply via the link below!

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Senior Data Scientist / Credit Risk Analyst
Remote (UK)
£70,000 – £85,000

Join a growing fintech using data, AI and analytics to transform the payments space. This is a high-impact role offering exposure to credit risk, fraud, machine learning and commercial strategy, with direct access to senior leadership.

The Company
A venture-backed fintech in the payments space. They combine advanced analytics, machine learning and alternative data sources to help customers make smarter, faster risk decisions.

The Role

• Build and improve credit risk, fraud and pricing models
• Use analytics to inform strategy, limit optimisation and decisioning
• Develop machine learning solutions and predictive models
• Monitor portfolio performance and identify emerging risks
• Work with customers and partners to solve complex risk challenges
• Collaborate closely with founders and senior stakeholders

Your Skills & Experience

• Strong commercial experience in Credit Risk, Fraud Analytics or Data Science
• Python and SQL expertise
• Experience building predictive models and delivering business insights
• Background in fintech, financial services, payments, lending or consulting
• Strong communication and stakeholder management skills
• UK market experience

What They Offer

• £70,000 – £85,000 base salary
• Equity package
• Private medical insurance, including family cover
• Pension scheme
• Fully remote working
• International company offsites twice a year
• Excellent career growth within a scaling business

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This is an exciting opportunity to join a fast-growing analytics and research business operating at the intersection of sport, media, and technology. Working with industry-leading datasets and commercial insights, you will help shape understanding of one of the most dynamic areas of the sports industry while building your profile as a subject matter expert.

The Company
They are a specialist research and analytics organisation supporting decision-making across the media, entertainment, and sports sectors. Their work informs some of the most influential organisations in the industry, providing data-led insights into market trends, commercial strategy, and emerging opportunities. With a collaborative and intellectually curious culture, they offer an environment where analytical talent can thrive and develop.

The Role
As a Senior Analyst within the Sports Media Rights team, you will play a key role in expanding and maintaining a leading media rights intelligence product.
Responsibilities include:

• Managing and enhancing databases covering global sports media rights agreements
• Building and maintaining Excel-based models to support market analysis and forecasting
• Conducting research into sports broadcasting, streaming, and media rights trends
• Producing high-quality analytical reports, insights, and thought leadership content
• Identifying and interpreting developments across the sports media landscape
• Supporting commercial teams with client-facing analysis and industry expertise
• Contributing to bespoke consulting and research projects for a range of stakeholders

Your Skills & Experience

• Strong commercial experience analysing sports media rights, sports business, broadcasting, or related markets
• Excellent Excel skills, including data manipulation, modelling, and analytical problem-solving
• Understanding of how sports media rights deals are structured, negotiated, and valued
• Experience working with large datasets and transforming information into actionable insights
• Strong research and analytical capabilities with excellent attention to detail
• Ability to communicate complex findings clearly through written reports and presentations
• Experience within a sports rights holder, broadcaster, agency, consultancy, research firm, or similar environment
• Exposure to SQL, Python, or other analytical tools would be beneficial but is not essential

What They Offer

• Ongoing professional development and industry exposure
• Opportunity to work closely with recognised experts across sport and media
• Clear progression opportunities within a growing business
• Collaborative and supportive working culture

How to Apply
If you have a strong background in sports media rights and advanced Excel skills and are looking to take the next step in your analytics career, apply today to discuss the opportunity in more detail.

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