Data and AI Product Manager

Job not on LinkedIn

🔥 13 hours ago

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

✅ Product Manager

🇬🇧 UK Skilled Worker Visa Sponsor

This company has sponsored UK Skilled Worker visas in the past.

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Grip

WebsiteLinkedInAll Job Openings

51 - 200 employees

☁️ SaaS

🤝 B2B

SaaS • B2B • Event Management

Grip is a leading AI-powered event platform designed to amplify business engagement and networking opportunities. The platform facilitates the management of in-person, virtual, and hybrid events by providing tools for event matchmaking, meeting scheduling, lead retrieval, and customized participant experiences. Grip's innovative technology helps organizers maximize event value by enhancing participant connections, increasing revenue through optimized sponsorship and exhibitor management, and ensuring smooth event operation with advanced integration and security features.

📋 Description

• Diagnose and resolve data integration challenges within Engage • Own the product roadmap for data integrations and map data flows through Grip • Shape data for current reporting needs and future agentic use • Drive API integrations with organiser systems, third-party providers and enterprise platforms • Collaborate with data engineers on ETL pipeline design and dataset structure • Maintain and evolve event tracking through CDPs • Define success metrics and build data-driven feedback loops • Contribute to MCP tool design and determine how Grip data is exposed to agentic systems • Work with the Data and AI squad to identify valuable agentic capabilities • Develop working knowledge of AI monitoring, evaluation and security • Run squad ceremonies, standups, sprint planning, backlog refinement and retrospectives • Work with engineering leads to manage trade-offs, resolve blockers and maintain a healthy backlog • Use Claude Code, GitHub automations and agents to manage workflows, solve problems and contribute to minor fixes

🎯 Requirements

• 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 • Ability to discuss ingestion, transformation and downstream data structure with data engineers • Literacy in APIs and integration patterns • Ability to interrogate data contracts and de-risk integration work alongside engineers • Experience with CDPs, tracking plans, pipeline management and data quality • Working understanding of data usability for AI, including vector embeddings, structured outputs and context windows • Knowledge of MCP and agentic tooling, with active learning in this space • Experience using agentic tooling such as Claude Code, automation agents and similar • Clear communication across technical and commercial audiences • Experience in agile environments within a B2B SaaS or scale-up context • Direct exposure to AI-first features or agentic workflows (bonus) • Familiarity with MCP tool design, vector databases, or AI system monitoring and security (bonus) • Experience in event tech, MarTech or platforms with complex multi-system data flows (bonus)

🏖️ Benefits

• Company Training Sponsorship Programme • 25 holiday days per year • Sabbatical Leave • Career Progression Pathways • Group Life Insurance and company health plan • Remote-first work arrangement • Access to the London Bridge office • Quarterly performance reviews and dedicated career development check-ins