[Hiring] Data and AI Product Manager @Grip

Role Description

We're looking for a Product Manager who thinks agentically, someone who approaches data not as an end in itself, but as the foundation that makes intelligent, AI-powered systems possible. Grip is building toward a platform where AI agents act on behalf of organisers and participants. To get there, the data that underpins that layer needs to be right. That's where this role starts:

• Getting hands-on with data ingestion.
• Understanding how data moves through the platform.
• Building the clean, well-structured data layer that agentic systems depend on.

You'll work on:

• System integrations.
• ETL pipelines.
• CDP tracking.

You'll be the person asking "is this data structured in a way an agent can use?" before asking "does this data exist?". As that foundation takes shape, your scope expands naturally into Grip's MCP design, agentic workflows, and AI system architecture.

This position is a remote role based in the UK.

Core Responsibilities

• Building the data layer for agentic systems - immediate focus.
• Diagnose and resolve current data integration challenges within Engage, with a clear view of how clean data enables AI capabilities downstream.
• Own the product roadmap for data integrations, mapping how data flows through Grip and shaping it for both current reporting needs and future agentic use.
• Drive API integration work with organiser systems, third-party providers, and enterprise platforms, always considering how data will be consumed by AI systems.
• Work with data engineers on ETL pipeline design and dataset structure, thinking about what format and fidelity AI agents will require.
• Maintain and evolve event tracking via our CDPs to ensure data is complete, accurate, and machine-usable.
• Define success metrics and build feedback loops that keep product decisions grounded in data.
• Expanding into AI & agentic - as your scope grows.
• Contribute to MCP tool design, shaping how Grip's data is exposed and consumed within agentic systems.
• Work with the Data and AI squad to identify where agentic capabilities create genuine product value.
• Develop working knowledge of monitoring, evaluation, and security for AI systems.

How You Work

• Run squad ceremonies, standups, sprint planning, backlog refinement, and retrospectives.
• Work closely with engineering leads to manage trade-offs, resolve blockers, and maintain a healthy backlog.
• Default to agentic tooling, Claude Code, GitHub automations, and agents, to manage your own workflows, solve problems, and contribute to minor fixes.

Your Career Path

We are highly invested in your development, and your career path will be a standing, dedicated item in your regular check-ins with your line manager. As a Product Manager at Grip, you will have plenty of opportunities to grow and try new things, leading others or owning technical initiatives across the organisation. We operate with a clear progression framework and use quarterly performance reviews to reflect and set goals so that you can achieve your full potential.

Benefits

• Grip is a remote-first company, but we have an office in London Bridge which you're welcome to use as much as you like.
• Company Training Sponsorship Programme.
• 25 holiday days per year.
• Sabbatical Leave.
• Career Progression Pathways — an opportunity to take the lead in shaping an entire industry through AI.
• Kind, fun, and ambitious company culture.
• Group Life Insurance and company health plan.

Qualifications

• A PM who thinks agentically, your instinct when looking at a data problem is to ask what an AI system would need from it, not just what a dashboard would show.
• 3+ years of product management experience with a strong data background, ideally in technical or platform roles.
• Solid understanding of data architecture and ETL pipelines. You can have a credible conversation with a data engineer about ingestion, transformation, and how data is structured for downstream use.
• Literate in APIs and integration patterns. You can interrogate a data contract and de-risk integration work alongside engineers.
• Experience with CDPs, tracking plans, managing pipelines, and ensuring data quality.
• A working understanding of what makes data usable for AI, vector embeddings, structured outputs, context windows. You follow developments in MCP and agentic tooling and are actively building knowledge in this space.
• Agentic tooling is already part of your workflow. Claude Code, automation agents, and similar are defaults, not experiments.
• Clear communicator across technical and commercial audiences.
• Experienced in agile environments within a B2B SaaS or scale-up context.

Bonus Points

• Direct exposure to building AI-first features or agentic workflows.
• Familiarity with MCP tool design, vector databases, or AI system monitoring and security.
• Experience in event tech, MarTech, or platforms with complex multi-system data flows.