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Product Manager Freelance - AI Recruitment SaaS

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Onsite, Hybrid

Product Manager Freelance - AI Recruitment SaaS

Collective

Product Manager Freelance - AI Recruitment SaaS

Skills

Product StrategyProduct ManagementAIProduct discoveryProduct analyticsB2B SaaS

4 hours ago

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Important information


Contract type:

Freelance / Contract

Daily rate:

Salary according to profile

Location:

London, UK

Work mode:

Onsite, Hybrid

Published on:

26 October 2026

What they need


Context

Collective.work is building the next generation of AI-powered recruitment. The company supports over 20,000 recruiters and headhunters across France, Belgium, Spain, and the wider EMEA region, and is now accelerating product and distribution expansion into the UK. The platform combines a suite of AI agents designed to transform recruitment workflows, from candidate sourcing and job posting to personalised outreach and ATS integrations. Powered by a database of 800M+ public professional profiles and an embedded network of 1M+ active candidates, Collective leverages large-scale professional data with AI to make recruitment smarter, faster, and more effective.

Missions

  • Own product strategy and roadmap by identifying key opportunities to improve recruiter experience and drive business growth.
  • Translate company objectives, customer feedback, and market insights into a clear product roadmap.
  • Prioritise initiatives based on user impact, business value, technical feasibility, and speed of execution.
  • Balance short-term product improvements with longer-term strategic opportunities.
  • Drive product discovery by understanding recruiter workflows, challenges, and how AI can improve them.
  • Gather insights through customer interviews, user feedback, behavioural data, and market research.
  • Validate ideas through prototypes, experiments, and iterative releases.
  • Collaborate with engineering and AI teams to develop new AI-powered features across sourcing, job posting, outreach, and ATS integrations.
  • Translate AI capabilities into practical user benefits, ensuring features solve real problems.
  • Define success criteria for AI features including relevance, accuracy, reliability, usability, and adoption.
  • Own the product development lifecycle from problem definition to launch and post-release iteration.
  • Write clear product briefs, user stories, and acceptance criteria.
  • Work closely with engineering and design teams to resolve blockers and deliver high-quality products.
  • Coordinate product launches with commercial, marketing, and customer-facing teams.
  • Define and monitor product KPIs such as activation, engagement, retention, conversion, and feature adoption.
  • Use product analytics and experimentation to optimize the user journey.
  • Develop a strong understanding of the UK recruitment market and adapt the product accordingly.
  • Collaborate with local commercial teams to translate market feedback into product priorities.
  • Help build a scalable product serving customers across different markets while maintaining a consistent user experience.

Tools & Environment

  • AI-powered recruitment platform
  • Suite of AI agents for sourcing, job posting, outreach, and ATS integrations
  • Data-driven product analytics and experimentation
  • Collaboration with engineering, design, commercial, and marketing teams
  • Working with large-scale professional data and AI technologies

Working Conditions

  • Location: London, UK
  • Role focused on international growth and UK market expansion
  • Fast-moving AI environment with hands-on product management responsibilities

Profile wanted


  1. Product management experience: Owned features or product areas end to end and know how to move from a problem to a successful launch
  2. Strong product sense: Ability to identify meaningful user problems, challenge assumptions, and make sound prioritisation decisions
  3. Technical curiosity: Comfortable working with engineers and understanding technical trade-offs, APIs, data, and software architecture at a practical level
  4. Interest in AI: Excited about the potential of LLMs, AI agents, and automation; hands-on experience building AI-powered products is a plus
  5. Data-driven decision-making: Comfortable using analytics, KPIs, and experiments to guide product decisions
  6. Excellent communication: Ability to align stakeholders, explain complex ideas clearly, and bring teams together around a shared objective
  7. Ownership and execution: Takes initiative, moves quickly, and is comfortable making decisions in an undefined environment
  8. Customer obsession: Enjoys speaking with users, understanding their workflows, and turning feedback into better products
  9. Experience in B2B SaaS, AI products, recruitment technology, marketplaces, or workflow automation is a strong plus
  10. Experience working in an international or high-growth environment is valued

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