JA

Junior AI

London

Lead Product Manager

Full Timehoy
Product

Descripción del puesto

👶 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, and tell us what to build next

  • Customer responsiveness: feedback lands in your hands → you make a call → it ships in days, not sprints

 

🔧 Sample projects

Interview guide generation - understand how teams currently create structured interview guides at project kickoff; work with customers to define the right workflow; partner with design and engineering on an AI-assisted guide creation experience; iterate with users on a prototype; roll out and measure adoption.

Live transcription - work with CS and customers to validate demand for faster transcript access during calls; align with engineering on feasibility; partner with design on how to surface live transcripts elegantly; pilot with early users; QA the release; launch; track usage.

Call anonymization - dig into how consulting clients manually create anonymized versions of transcripts; define what must be anonymized; work with design and engineering on a delightful anonymization flow; test with customers; run QA; launch; measure adoption.

 

🔥 About you

  • You've built something 0→1 from problem discovery through launch, iteration, and impact. Walk us through what you owned end to end - the decisions you made, the tradeoffs, how you knew it worked. We want to hear the details, not a highlight reel.

  • You have roughly 2–7 years of product experience shipping fast. You come from a startup or scaling company where you shipped weekly or monthly, not quarterly. Bonus if you built at a high-bar company (Amazon, Palantir, top startup) or worked at a leading consulting firm while shipping real product (not just analysis).

  • You're close to customers and energized by direct user engagement. You'll talk to our clients (PE firms, consultancies) regularly, understand their research workflows deeply, and let that shape every decision. You're comfortable owning the customer relationship alongside CS.

  • You execute relentlessly. You make good tradeoffs, unblock teams, move fast, and focus ruthlessly on MVP. You avoid process for process's sake and prefer high accountability over cover-your-ass meetings.

  • You're technically grounded. You can dig into how our LLM pipelines work, understand database constraints, and use Claude or similar tools to prototype solutions quickly. You're not writing code all day, but you think like an engineer.

  • You communicate clearly - written and verbal. You write one-pagers that land with founders and customers. You give product demos that make people want to use the product.

  • You're London-based and excited to work 5 days per week in office. You'll be on sales and CS calls, visiting customers, and shipping alongside the team in person.

 

🌵 Benefits

All the usual (competitive pay and equity, private healthcare, gym membership).

Unusual benefits:

  • In-office cook

  • Summers working in Greece by the beach

If you've built something 0-1 and shipped it in a startup or scaling company, we'd love to hear from you. 🙌


Compensation: £110K – £125K • Offers Equity

  • • Estimated Base Salary £110K – £125K • Offers Equity

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Sobre Junior AI

JA

Junior AI

London

Preguntas frecuentes

Where is the Lead Product Manager position at Junior AI located?

The Lead Product Manager role at Junior AI is based in London.

What type of employment is the Lead Product Manager role at Junior AI?

This Lead Product Manager position is offered as Full Time.

What skills are needed for the Lead Product Manager role at Junior AI?

Key skills and focus areas for this role include Product.

How do I apply for the Lead Product Manager position at Junior AI?

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