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 segment, which includes client-facing APIs, MCP servers, and direct data connections.

• Establish success metrics such as adoption rates, usage, and time-to-integrate.

• Develop the MCP offering from its beta stage to a fully scaled and well-documented product solution.

• Identify opportunities based on client needs, usage patterns, and developments in the AI-native data landscape.

• Participate in discussions with clients and partners to assess technical feasibility and define use cases.

• Serve as a liaison between client technical teams, internal stakeholders, and commercial partners.

• Collaborate with Data Strategy, Engineering, and commercial teams to steer opportunities from ideation to launch.

• Ensure that products adhere to established quality, security, and data privacy standards.

• Define policies for API and MCP support, including versioning and deprecation procedures.

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

• Manage documentation, assets, and self-service materials to expedite client integrations.

• Monitor adoption and usage while refining the integration experience.

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

⛳️ Requirements

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

• In-depth understanding of REST APIs, data delivery methods, and integration workflows.

• Familiarity with the AI-native data ecosystem, including MCP, LLM agents, and data integrations with tools like Claude and Cursor.

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

• Confidence in engaging with clients and senior stakeholders, defining use cases, and providing clear recommendations.

• Self-motivated with the ability to independently lead a diverse range of responsibilities.

• Strong analytical capabilities and a willingness to experiment and navigate uncertainty.

• Exceptional communication skills, fluent in English.

• Proficient in data literacy, including understanding aggregated versus respondent-level data and their associated use cases.

• High emotional intelligence.

• Knowledge of data privacy, licensing, and security considerations pertaining to respondent-level data.

• Preferred hands-on experience with data delivery, API integrations, or business intelligence tools.

• Experience with AI technologies and agentic workflows is a plus.

• Background in market research, audience intelligence, or ad tech is preferred.

• Experience with data partnerships or audience activation scenarios is preferred.

🏝️ Benefits

• Comprehensive benefits package that promotes physical, financial, and emotional well-being.

• A supportive workplace that emphasizes belonging and individuality.

• Commitment to equal opportunity employment.