What are the responsibilities and job description for the Senior Growth Manager position at Encord?
About Us
Encord is the universal data layer for AI that helps 300 AI teams train and run models on the right data. Our platform indexes, curates, annotates, and evaluates data across the full AI lifecycle, from development through production. Trusted by Woven by Toyota, AXA, UiPath, Zipline, and more.
We're an ambitious team of 100 working at the frontier of AI and have raised $110M in funding, including a Series C backed by Wellington Management, CRV, Next47, and Y Combinator.
The role
We're looking for a Senior Growth Manager to architect how technical buyers find, evaluate, and choose our platform — from first signal to closed deal. You'll own our demand generation strategy, building pipeline from target accounts within a defined vertical, deepening engagement with existing customers, and operating as a true partner to Sales. You'll lead a squad of three, setting direction, developing your team, and ensuring output connects directly to revenue.
What you’ll do
Encord is the universal data layer for AI that helps 300 AI teams train and run models on the right data. Our platform indexes, curates, annotates, and evaluates data across the full AI lifecycle, from development through production. Trusted by Woven by Toyota, AXA, UiPath, Zipline, and more.
We're an ambitious team of 100 working at the frontier of AI and have raised $110M in funding, including a Series C backed by Wellington Management, CRV, Next47, and Y Combinator.
The role
We're looking for a Senior Growth Manager to architect how technical buyers find, evaluate, and choose our platform — from first signal to closed deal. You'll own our demand generation strategy, building pipeline from target accounts within a defined vertical, deepening engagement with existing customers, and operating as a true partner to Sales. You'll lead a squad of three, setting direction, developing your team, and ensuring output connects directly to revenue.
What you’ll do
- Lead and develop your team — setting clear priorities, unblocking people, and maintaining a high bar for output across all growth programs
- Own pipeline strategy for target enterprise accounts — coordinating content, campaigns, outreach, and in-person touchpoints to drive qualified opportunities in partnership with Sales and SDRs
- Deploy AI agents to monitor account-level signals, identifying when target accounts are moving from cold to warm and surfacing the right moment for Sales to engage
- Use AI-driven intent tools at the contact level to flag high-intent prospects, inform personalisation, and help Sales prioritise outreach across an account
- Build and own our conference and field event strategy — identifying the right moments in the ML Ops, Data Ops, and AI infrastructure calendar, activating target accounts before and after events, and converting in-person presence into pipeline
- Develop co-marketing programs with technology partners across the ML Ops and AI infrastructure ecosystem, turning integrations and shared customers into joint campaigns and warm introductions into target accounts
- Work closely with AEs and Sales leadership to ensure Sales receives well-qualified, well-timed opportunities
- Manage lead routing, enrichment, and nurture tracks to reduce friction across enterprise buyer journeys
- You're structured and precise in how you think about markets — you know how to map a landscape, identify where to focus, and build programs that convert that focus into pipeline
- You're energised by in-person relationship building — conferences, roundtables, and industry events are where you do some of your best work
- You're quick to pick up new tools and workflows — you're already using AI to work faster and smarter, and you're curious about where it goes next
- You can engage credibly on technical topics — ML infrastructure, compute orchestration, model evaluation, and developer tooling are areas you're motivated to go deep on
- You've managed or led small teams and know how to get the best out of people while keeping programs moving
- 3 years in B2B growth, strategy, finance, or a commercially rigorous field — with a track record of owning outcomes, not just workstreams
- Direct experience in or exposure to the ML Ops, Data Ops, or AI infrastructure space, or adjacent areas such as model evaluation, robotics, physical AI, or autonomy
- Experience building and executing demand generation, field event, or co-marketing programs in a B2B environment
- Familiarity with AI-driven intent and signal tools (e.g. 6sense, Bombora, Clay) and how they integrate into a GTM motion
- Competitive salary, commission, and equity in a high-growth start-up
- Strong in-person culture - most of the team works from our London office 4 days/week
- 25 days annual leave UK public holidays
- Annual learning & development budget
- Travel for customer visits, events, and conferences across the UK and Europe
- Company lunches twice a week
- Monthly socials & bi-annual team offsites