Lead Product Manager

Junior AI

London · Onsite · Full Time

Posted

Job description

👶 About Junior We're building cutting-edge LLM-powered tools that supercharge investment research for the world's most demanding deal teams. Our clients include several of the top 10 global private equity firms, Big 4 professional services firms, and leading consulting practices: organisations responsible for deploying billions of dollars annually. We're profitable, bootstrapped, and past $20M in revenue after growing 10x in 2025. We're on track for 2–3x growth this year, and our product saves clients an average of 30 hours per week. We're expanding fast into investment banking, hedge funds, and research firms. Our PM team is currently 2 strong - we're looking for PMs #3-6 to own the core research workflow and help build out the product org as we scale from 60 to 120 people. 💡 The role You'll own the core research workflow end to end - problem discovery, MVP scoping, shipping, and driving adoption. You'll run the day-to-day execution loop: partnering with engineering and design on specs and tradeoffs, talking to customers (PE firms, consultancies) on regular calls to understand their workflows and priorities, driving QA and release readiness, and keeping founders and leadership aligned with lightweight, high-signal communication. You ship frequently - we measure success by shipping 1 major feature per week and driving measurable adoption of everything that ships. This is a high-ownership IC role; as the org grows, you'll have the opportunity to transition into a leadership role. ✅ What you'll do Own the roadmap and execution for the core research workflow Join customer calls with CS and users weekly; understand their workflows, pain points, and what "great" looks like Partner with engineering + design to prioritize, scope, and ship quickly - your bar is MVP done, not perfect Drive QA and launch readiness: testing plans, bug triage, launch checklists, iteration plans Keep stakeholders (founders, engineering, design, CS) aligned through direct conversation, not documents Demo new features on sales and CS calls; translate customer feedback into product priorities immediately Measure impact: usage metrics, adoption curves, feature engagement - and iterate based on data 📈 What success looks like Shipping velocity increases: 1 major feature per week, high-quality releases, fast iteration loops Adoption improves: users discover new features, use them regularly,…

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