Associate Product Manager (APM)

Job Summary

We are looking for an Associate Product Manager to partner closely with one of our Product Managers - covering AI/ML, Data Platform, Low-Code/No-Code functionalities - bringing structure and rigor to how we capture, document and track product requirements. This role blends classic associate product management with a strong business analysis orientation: you will turn conversations, roadmap decisions and technical discussions into clear, reliable documentation the wider team can build against. It is a foundational role for someone who wants to build deep product craft inside a fast-moving deep-tech company. This role calls for 2-5 years of overall experience, including some hands-on exposure to product management, business analysis or a related function in enterprise software or B2B SaaS.

Responsibilities

• Partner with Your Product Manager: Work day-to-day alongside your assigned Product Manager, supporting roadmap planning, prioritization and stakeholder communication. Prepare briefing materials, roadmap updates and status reports for leadership and cross-functional reviews. Track decisions, action items and open questions across product discussions, and follow up until closed. Flag gaps, risks and dependencies early so your Product Manager can act on them.
• Understand Users and the Market: Support research into customer needs, competitor capabilities and industry trends for your product area. Join customer and partner conversations to capture requirements and pain points first-hand. Help evaluate and validate use cases, prioritising for business value under your Product Manager s guidance.
• Own Requirements and Documentation: Write clear Product Requirements Documents (PRDs), user stories, acceptance criteria and functional specifications. Maintain accurate, current documentation on feature scope, workflows, design decisions and known limitations. Translate business and technical discussions into structured requirements that engineering can build against without ambiguity. Create and maintain process maps, workflow diagrams and other artefacts that make the product easy to understand for the wider team.
• Support Delivery: Work with engineering, QA and design to keep backlogs groomed and sprint planning organized. Track delivery progress against the roadmap, and surface slippage or blockers promptly. Support release readiness: test scenarios, release notes, and coordination with go-to-market teams.
• Build Product and Technical Fluency: Develop a working understanding of agentic AI and LLM-based systems relevant to your product area. Build familiarity with data platforms, pipelines and how data quality shapes AI product outcomes. Use AI tooling in your own research, documentation and analysis, and look for ways to raise the team's documentation standard.

Requirements

• 2-5 years of overall experience, including some hands-on exposure to product management, business analysis or a related function in enterprise software or B2B SaaS.
• Strong written documentation skills, with the ability to turn ambiguous discussions into clear specifications.
• Comfort working directly with engineering, design and business stakeholders.
• A structured, detail-oriented approach to tracking requirements, decisions and action items.
• Curiosity about AI/ML, agentic AI and low-code/no-code technologies.
• Clear verbal and written communication.
• Exposure to agile ceremonies such as backlog grooming and sprint planning.
• Familiarity with tools such as Jira, Confluence, or equivalent for documentation and tracking.

How Success Will Be Measured

• Documentation (PRDs, specs, user stories) is clear enough that engineering rarely needs clarification.
• Requirements captured from stakeholders are accurate and complete, reducing rework mid-sprint.
• Your Product Manager can delegate research, documentation and coordination with confidence.
• You show growing independence in discovery support and requirement-writing.
• Meeting notes and action tracking are reliable enough to serve as the team s system of record.