Senior Product Engineer
Encord is hiring a Senior Product Engineer in London, United Kingdom. Level rates it ; you can apply on Encord.
Level's read on this job
- On Level's scale, this role is Works on AI ●●●○: the daily work is on AI products, without building the model.
- Tools and skills the posting cites include PyTorch, Databricks and Elevenlabs.
- Level classifies it as a senior role.
- Level lists 35 other open roles at Encord.
AI in this role
About us
We're solving AI's hardest problem: alignment.
Encord is the data layer for Physical AI and enterprise, serving as core infrastructure for 300+ teams at the cutting edge of AI, including Woven by Toyota, Hitachi, Skydio, AbbVie, Dyna, Walden, and Agility Robotics. From autonomous vehicles and robotics to sports and healthcare, we're solving AI's hardest problem: turning complex, real-world data into production-ready intelligent systems.
We're a team of former founders, scientists, quants, researchers, and even Olympians who’ve helped build some of the most successful companies in Silicon Valley, and alumni of MIT, Stanford, UC Berkeley, Oxford, Cambridge, and Imperial. We’ve raised $110M from early investors in companies like Databricks, ElevenLabs, and Vercel, and we’re growing at an extraordinary pace.
We're looking for exceptional people who want to help build a category-defining company, operating with high urgency and taking real ownership to help shape the future of AI.
The role
As a Product Engineer at Encord, you'll be embedded at the core of our product — owning features end-to-end, from the API design and backend systems all the way through to the UI that annotation teams, ML engineers, and compliance officers use every day. You won't be handed specs; you'll help write them.
We care deeply about product craft, technical excellence, and shipping things that genuinely matter to our clients. If you have strong opinions about what good software looks and feels like — and the drive to make it happen — you'll fit right in.
What you'll do
Build scalable back-end systems and intuitive front-end interfaces — owning features from database schema to rendered UI
Work with ML workflows — developing tooling for model evaluation, active learning, and automated quality pipelines
Iterate rapidly on product and ship high-quality features at pace, maintaining strong CI/CD and testing practices throughout
Work closely with customers, product, and design to understand problems deeply and deliver solutions that create real impact
Contribute to shaping how the team works — our architecture decisions, engineering culture, and product direction are all open for input
Who we're looking for
You've seen and built a lot. You have personally developed and maintained multiple systems from scratch, and you know what trade-offs are involved in building reliable, performant software at speed
You want your work to have a tangible outcome for people. You're not satisfied with building products that do not see the light of day
You are a builder. You enjoy all aspects of building not only software but a complete product, and are comfortable moving across the stack when necessary.
You enjoy problem-solving and thinking from first principles, and are always ready to pick up new skills and build quickly
You're happy to tackle problems without a predefined, clear definition or obvious solution, and are excited to have autonomy to make decisions as you go
You understand that being a member of a high-performing team requires two things. You contribute your best work and help others contribute their best. You'll always lend a helping hand when needed and level up those around you
Experience requirements
Strong full-stack engineering experience, with a strong track record of shipping products you're proud of
Deep fluency in at least one high-level language (we use Python and TypeScript, but we care more about depth than the specific language)
Strong front-end skills — comfortable with building polished, responsive interfaces, ideally with React
Familiarity with cloud infrastructure (GCP preferred) and containerised deployment (Kubernetes) is a plus
Experience building at scale in a fast-paced startup or high-growth environment
Exposure to machine learning workflows or ML infrastructure is a plus
Tech stack
We are technology-agnostic at Encord and are not looking for experience across all of these — as long as you're open to learning, please apply.
Backend: Python
Frontend: TypeScript and React
Deployment: Kubernetes
Infrastructure: GCP
Machine learning: PyTorch, CUDA, Ray
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
Daily company lunches
Monthly socials & bi-annual team offsites
Operating principles
High agency
You see something broken, you fix it or find the person who can. We celebrate the people who solve 90% of a problem before anyone asks.
Build with care & urgency
We bear-hug the customer. Former founders and people from fast-moving, high-stakes environments thrive here.
Self-aware & hungry
We stay warm, self-aware, and genuinely hungry. We elevate our peers, and ego doesn't last long.
Invent in real time
We move toward the ambiguity. We’re pragmatic, resourceful, energized by the fact that there's no playbook.
If you're looking to do the most meaningful work of your career alongside people who push you to be better, we'd love to meet you.
How we rate this
Senior Product Engineer at Encord rates 63 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How do you decide that one model's output is better than another's for a given task?
- Walk me through how you've used PyTorch in your day-to-day work.
- What are the limits of Databricks that you've run into, and how did you work around them?
- What's a project where you used Elevenlabs hands-on?
- Describe a typical day in a role like this one: which parts run through AI directly?
Adapt your resume
- List these exact terms on your resume: AI Evaluation, PyTorch, Databricks, and Elevenlabs. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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