Senior Technical Product Manager, Data Integrations

This is a fully remote position, open to applicants in United Kingdom, +4 more countries.

📋 Description

• Take charge of the strategy and roadmap for the Data Integrations sector, encompassing client-facing APIs, MCP servers, and direct data connections.

• Develop the MCP offering from its beta phase into a comprehensive and well-documented product solution.

• Discover opportunities based on client requirements, usage trends, and shifts in the AI-native data environment.

• Engage in discussions with clients and partners to confirm technical feasibility and define use cases.

• Connect client technical insights with internal stakeholder and commercial viewpoints.

• Collaborate with Data Strategy, Engineering, and commercial teams from concept through to launch.

• Establish API and MCP support, versioning, and deprecation policies.

• Work alongside commercial and legal teams on integration go-to-market strategies.

• Manage documentation, resources, and self-service materials to accelerate client integration.

• Monitor adoption and usage, refining the integration experience as necessary.

• Cultivate relationships with Product, Data Strategy, Engineering, Tech Enablement, Commercial, Legal, clients, and partners.

⛳️ Requirements

• Demonstrated success in Enterprise SaaS Product Management, particularly in shaping APIs, developer-oriented products, or data platforms, including guiding a product from concept to launch and scaling.

• In-depth knowledge of REST APIs, data delivery methods, and integration processes.

• Understanding of the AI-native data ecosystem, including MCP and LLM agents.

• Commercial insight and the ability to evaluate the commercial implications of product and technical decisions.

• Comfortable engaging with clients and senior stakeholders, including live use-case scoping and providing clear recommendations.

• Proactive mindset with the capability to manage a wide-ranging remit independently.

• Strong analytical abilities and an eagerness to experiment and navigate uncertainty.

• Excellent communication skills, fluent in English.

• Data literacy, encompassing both aggregated and respondent-level data.

• High emotional intelligence.

• Understanding of data privacy, licensing, and security considerations.

• Preferred: practical experience with data delivery, API integrations, or business intelligence tools.

• Preferred: familiarity with AI technologies and agentic workflows.

• Preferred: background in market research, audience intelligence, or ad tech.

• Preferred: experience with data partnerships or audience activation scenarios.

🏝️ Benefits

• Comprehensive benefits that support physical, financial, and emotional wellbeing.

• A supportive workplace that prioritizes belonging and individuality.

• An equal opportunity employer.