Senior Product Manager, Data Foundations

🕒 May 7

🏢🏡 London – Hybrid

⏰ Full Time

🟠 Senior

✅ Product Manager

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proSapient

WebsiteLinkedInAll Job Openings

201 - 500 employees

💰 $10M Series A on 2021-01

proSapient provides a comprehensive primary research and expert networking service to institutional investors, consultants and corporate clients around the world. Our advantage is the speed and accuracy we deliver actionable intelligence and relevant experts to our customers, giving them the edge they need to achieve their commercial ambitions. This is made possible by our technology which is driven by artificial intelligence, separating us from other providers of market information.

📋 Description

• Owning our data foundations product domain end-to-end: setting vision, defining strategy, and delivering tangible impact to deepen the breadth and quality of our data. • Championing agile delivery with a focus on measurable outcomes and a strong commitment to solving real customer problems. • Defining clear objectives and key results to align team efforts with the broader company strategy. • Owning the end-to-end product lifecycle, from deep customer research to defining and delivering data-driven solutions. • Leading the design and development of scalable data extraction and enrichment pipelines, working within a cross-functional squad and collaborating closely with data science, commercial teams, and end customers. • Owning the knowledge graph product strategy end-to-end — working with engineering to define entity and relationship models, govern taxonomy decisions, and drive the roadmap from MVP through to full production rollout. This includes shaping retrieval architecture across structured and semantic search modalities, in close collaboration with platform engineering and external technology partners. • Managing strategic technology partnerships — acting as the product counterpart to platform engineering when working with internal engineering teams or external implementation partners and cloud platform partners (e.g., Google Cloud / GCP). This includes defining project scope and success criteria, co-owning evaluation methodology (golden datasets, parameter sweeps, LLM eval), and translating technical trade-offs into product decisions. • Identifying, evaluating, and integrating third-party data providers that enhance our platform's depth (e.g., firmographics, financials, technographics). • Working closely with legal and compliance teams to ensure all data usage meets regulatory and privacy standards. • Ensuring enriched data is accurate, structured, and discoverable across the internal platform and user-facing products.

🎯 Requirements

• 5+ years of product management experience in data products, marketplace models, or AI-powered workflows. • Experience conducting structured process discovery with operational or domain experts and translating it into formal data models or product requirements. • Track record of delivering data products end-to-end, working closely with engineering teams through all stages of development and launch. • Proven experience with knowledge graph concepts / GraphRAG — including property graph schemas, entity modelling, and hybrid retrieval approaches that combine structured graph traversal with semantic search. Hands-on exposure to the trade-offs between schema-governed and LLM-driven taxonomy design is preferred. • Experience owning a domain ontology or entity taxonomy end-to-end — including defining node and edge types, managing schema evolution without breaking live queries, resolving modelling conflicts (e.g., when an entity fits multiple types), and enforcing consistency across engineering and data science contributors. • Solid understanding of data pipelines, APIs, and working with unstructured or semi-structured data at scale including graph databases or graph query languages is a plus. • Experience building and tuning LLM-driven extraction and enrichment pipelines, including prompt design, output validation, and iterative improvement. • Comfortable defining and using product metrics to evaluate impact and guide iteration including defining ground truth datasets, annotation protocols, and controlled experimental setups • Bonus points for proven experience with third-party data partnerships, from evaluation to integration. • A high-level understanding of the landscape of personal contact, company, and financial data providers is a plus. • Ability to work independently in an autonomous, fast-paced environment, while aligning teams around a shared vision.

🏖️ Benefits

• Tenure Gifts - Vouchers, extra holiday and sabbaticals for each year of employment. • Health insurance through Vitality • Enjoy the flexibility of working remotely for up to 20 days each year, allowing you to tailor your work environment to your needs and embrace a change of scenery. • Employee Assistance Programme - Access to a health and wellbeing service that offers personalised advice and support from specialist teams. • Enhanced Maternity & Paternity pay. • Annual Leave - 25 days + bank holidays which includes a week's closure over the Christmas period to fully reset. • MyMindPal app - Online support for mental fitness that helps people to stress less and enjoy life more • Corporate Events - From quarterly gatherings to our annual winter & Summer parties, we love to celebrate, collaborate and have fun together! • We are committed to building an inclusive workplace – did you know that marginalized groups are less likely to apply to jobs unless they meet every requirement listed? If you are interested in the above role, but don’t necessarily tick every box, we encourage you to apply anyway – this role could still be a great match! Take a look at our diversity statement here.