Encord
Product Lead
London. Posted a month ago
The role
You will own a slice of the product spanning the core platform experience and data curation layer. You will lead and grow a team of Product Managers and work with Engineering, ML, Design, and Customer Success.
What you will do
- Own and manage the product roadmap across assigned areas
- Manage, coach, and develop Product Managers
- Set the standard for product craft including discovery, prioritisation, spec quality, and shipping cadence
- Lead customer discovery, interviews, problem validation, webinars, and demos
- Partner with Sales and Customer Success to drive upsell, cross-sell, and expansion
- Collaborate with Engineering and Design to ship high-quality features
- Build a high-performing, collaborative product management culture
Required qualifications
- Experience in product, ideally including time at a rapidly scaling startup
- Experience managing or formally mentoring other product managers, or a clear track record of leading through others
- Proven experience on B2B SaaS products or technical products sold to enterprise customers
- Ability to speak in metrics and impact
- Self-starter who makes independent decisions and drives them through
- Ability to speak to customers
- Excellent communication skills for internal sessions, external engagements, customer interviews, demos, and stakeholder presentations
Nice to have
- Experience at a rapidly scaling startup
Benefits
- Competitive salary
- Commission
- Meaningful equity
- Clear, accelerated growth opportunities
- Strong in-person culture: 4 days/week
- Daily team lunches & dinners
- Annual learning & development budget
- Comprehensive health, dental, and vision coverage
- US employees: 18 paid vacation days plus US public holidays
- UK employees: 25 paid vacation days plus UK public holidays
- Frequent travel opportunities across the U.S., London, and Europe
- Bi-annual company offsites & monthly socials
About the company
Encord is the data layer for Physical AI and enterprise, serving as core infrastructure for 300+ leading AI teams. The team includes founders, scientists, quants, researchers, and former Olympians.