At a Glance
- Tasks: Support the growth of our Physical AI platform and solve real customer problems.
- Company: Join Encord, a leading AI data platform trusted by top companies.
- Benefits: Competitive salary, equity, 25 days leave, and a vibrant office culture.
- Other info: Enjoy team lunches, monthly socials, and opportunities for travel across the UK and Europe.
- Why this job: Work at the forefront of AI and make a tangible impact on innovative products.
- Qualifications: 1-2 years in product development or technical project management; strong communication skills.
The predicted salary is between 80000 - 98000 £ per year.
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.
As an Associate Product Manager at Encord, you will support the development and growth of our Physical AI platform. You will work closely with Senior PMs to ship products that solve real customer problems in the rapidly evolving AI data development space.
We're building tools for the full Physical AI data stack — from data acquisition, through ingestion and curation at scale, to 3D rendering, annotation, and verification. You'll help shape the product roadmap and tackle challenges such as large-scale efficient data transfer and storage, complex domain modelling, applying the latest machine learning models, and squeezing performance out of web browsers.
What you'll do:
- Problem solving: Break down complex problems into actionable steps and work with the relevant teams to implement solutions.
- Product judgement: Evaluate and prioritise incoming feature requests, and propose new features to stay ahead of trends in the AI data space.
- Customer engagement: Conduct customer interviews and webinars to gather insights and translate these into clear product requirements.
- Product development: Collaborate with engineering and design teams to create detailed product specifications and drive the development process.
- Cross-functional collaboration: Work closely with Engineering, ML, and Customer Success teams to ensure alignment and successful execution of product initiatives.
Who we're looking for:
- Highly organised and execution-oriented — you work well under pressure and uncertainty, with a strong sense of urgency.
- Technically curious and able to understand APIs, data pipelines, and ML workflows at a conceptual level.
- Comfortable with ambiguity — you can decompose messy, ill-defined problems into clear execution plans and get moving without all the answers.
- A strong communicator who can lead customer interviews, run webinars, and keep cross-functional teams aligned.
- Energised by working on hard, fast-moving problems at the frontier of AI.
Experience requirements:
- 1–2 years of experience in product development, consulting, or technical project management; experience in a scale-up environment is a plus.
- Demonstrated ability to work cross-functionally and drive initiatives forward with minimal direction.
- Strong written and verbal communication skills, with comfort engaging directly with customers and technical stakeholders.
- Bonus: experience with side projects, hackathons, or personal technical projects; prior exposure to AI/ML or data infrastructure products.
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.
Associate Product Manager, Physical AI in London employer: Crane Venture Partners
Encord is an exceptional employer for those looking to make a significant impact in the AI industry. With a strong emphasis on employee growth, we offer competitive salaries, meaningful equity, and a vibrant in-person culture in our London office, where collaboration thrives. Our commitment to learning and development, alongside regular team socials and opportunities for travel, ensures that every team member can grow both personally and professionally while tackling exciting challenges at the forefront of technology.
StudySmarter Expert Advice🤫
We think this is how you could land Associate Product Manager, Physical AI in London
✨Join Product Management Meetups
Get involved in local product management meetups or workshops. These events are perfect for meeting industry folks, sharing ideas, and staying updated on trends. Plus, you never know who might be hiring—it's a fantastic way to make connections that could lead to a job at places like Crane Venture Partners!
✨Show Off Your Product Sense
Create case studies or mini-projects showcasing your product management skills, and share them on platforms like Medium or LinkedIn. This not only puts your skills on display but also boosts your visibility in the product community. Imagine how impressed the hiring team at Crane Venture Partners would be by your initiative!
✨Utilise Online Communities
Dive into online product management communities like Product Coalition or Mind the Product. Engage in discussions, ask questions, and share your insights. These platforms are goldmines for networking and finding hidden job opportunities—many companies often scout talent from within these circles.
✨Leverage Your University Network
If you’ve recently graduated or are still in uni, tap into your alumni network for connections in product management. Many universities have their own job boards and affinity resources to help graduates land roles. Don't forget to keep an eye out for job openings at Crane Venture Partners through your school's career services!
We think you need these skills to ace Associate Product Manager, Physical AI in London
Some tips for your application 🫡
Show Off Your Product Passion:When applying for a product management role like Associate Product Manager, Physical AI, let your passion for developing products shine through in your cover letter. Share specific examples of products you've managed, how you solved user needs, and any successful outcomes you've achieved. This is your chance to showcase your understanding of the product lifecycle!
Highlight Your Cross-Functional Skills:Product management isn't just about understanding the product; it’s about collaborating with different teams! Make sure to emphasise your experience working with developers, designers, and marketers. Use your CV to showcase your ability to bridge gaps between these areas, and include relevant experiences that demonstrate your communication and leadership skills!
Include Your Metrics and Achievements:In a full-time product management application, data speaks volumes! Quantify your achievements wherever possible. Did you increase user retention by a certain percentage? Launch a product ahead of schedule? Include these metrics in your CV to paint a picture of your impact and effectiveness in previous roles.
Tailor Your CV to the Role:Make sure your CV is tailored for the Associate Product Manager, Physical AI position at Crane Venture Partners. Use keywords from the job description and ensure your relevant experiences are front and centre. Highlight any certifications or relevant training you’ve completed that will make you stand out as a strong candidate for the role. And remember, we’re excited to see your application on our website!
How to prepare for a job interview at Crane Venture Partners
✨Understand the Product Life Cycle
As a product management candidate, we need to get our head around the complete product life cycle. Be prepared to discuss real-world examples of how you’ve managed product development from ideation to launch. Bring specific insights on tools like JIRA or Trello that can help streamline these processes.
✨Showcase Your Cross-Functional Skills
Product management is all about collaboration. We should be ready to highlight how we’ve worked across teams—think marketing, engineering, and design. Prepare to discuss scenarios where you had to mediate differing opinions and how you got everyone on board with a shared vision.
✨Prepare for Case Studies
In a full-time role, we can expect to encounter case study questions during our interviews. Practise solving hypothetical product problems on the spot, such as prioritising features for a new app or improving user engagement metrics. This will show our analytical thinking and decision-making skills.
✨Know Your Metrics
Let’s face it, numbers are our best friends in product management. We should prepare to discuss key performance indicators (KPIs) and how we've used analytics to inform product decisions. Dive into examples where data has driven our strategy for improvements or justified product changes.
