Forward Deployed Engineer
TLDR
Lead end-to-end deployment for strategic customers, building data integrations and guiding adoption to scale Encord's AI data platform.
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 $60M in Series C funding from Wellington Management, CRV, Next47 and Y Combinator.
The role
We're looking for an exceptional Forward Deployed Engineer (FDE) to join our product engineering team. Our FDEs own the deployment of the Encord platform in our most strategic and advanced use cases — working with customers daily to drive adoption and value delivery.
As an early member of the Forward Deployed team, you will have an outsized impact shaping a critical function for Encord and our customers, and stepping into a role which can accelerate your career in a fast-paced, high-growth environment. You will become a product expert and work with internal teams — both technical and commercial — to build a well-oiled engine that consistently enables customers to get up and running successfully, at scale.
As an end-to-end owner of the deployment process, you will work across a variety of problems: technical engineering, operational excellence, and strategic product work. Expect to build data integrations, guide customers with best practices, demo the product, and contribute to the product roadmap.
What you'll do
Own the end-to-end deployment of the Encord platform for our most strategic customers
Build data integrations and technical solutions to support customer onboarding and adoption
Guide customers with best practices, run demos, and host workshops
Communicate project plans and progress to both technical teams and executive stakeholders
Collaborate closely with product, engineering, and commercial teams to feed customer insights back into the roadmap
Help define and scale the Forward Deployed function as an early team member
Who we're looking for
Strong experience in a client-facing role in a high-intensity, fast-paced environment
Equally comfortable handling in-the-weeds product configuration queries and communicating with executives about a project plan
A great communicator who is motivated by building customer relationships and solving customer problems
Highly organised with strong time management across many competing priorities
Energised by owning and successfully completing projects, with the ability to balance detail-focus and big-picture thinking
Ambitious, hardworking, and consistently performed in the top percentile of whatever environment you've been in — whether in academia, business, sport, or work
Experience requirements
3–8 years in a technical, client-facing or solutions engineering role
Experience building or working with data integrations and APIs
Strong written and verbal communication skills
Ability to thrive in ambiguity and take ownership without being told what to do
Prior experience at a high-growth startup is a plus
Why Encord
Competitive salary, commission, and meaningful equity in a high-growth startup
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
Benefits
Equity Compensation
meaningful equity in a high-growth startup
Free Meals & Snacks
Company lunches twice a week
Learning Budget
Annual learning & development budget
Team events and offsites
Monthly socials & bi-annual team offsites
Paid Time Off
25 days annual leave + UK public holidays
Remote-Friendly
most of the team works from our London office 4+ days/week
Encord builds a universal data layer for AI that empowers over 300 teams to effectively train and run their models. Our platform supports the full AI lifecycle, indexing, curating, annotating, and evaluating data from development through to production, making it an essential tool for AI-driven organizations.
- Founded
- Founded 2021
- Employees
- 51-200 employees
- Industry
- computer software
- Funding stage
- Series C+
- Total raised
- $110M raised
- Last funding
- Raised February 2026