At a Glance
- Tasks: Lead the ML QA team in validating cutting-edge AI software and hardware.
- Company: Join Graphcore, a leader in AI compute backed by SoftBank.
- Benefits: Enjoy flexible working, generous leave, health plans, and a vibrant office culture.
- Other info: Be part of an inclusive team that values diverse backgrounds and experiences.
- Why this job: Make a real impact in the fast-evolving world of artificial intelligence.
- Qualifications: Experience as a Product Owner in agile environments and strong communication skills.
The predicted salary is between 60000 - 80000 € per year.
About Graphcore
At Graphcore, we’re building the future of AI compute. We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacentre scale. As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem. To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world. We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.
The Team
The ML QA team is responsible for validating the machine learning software stack running on Graphcore hardware. The team works across integration testing, feature validation, performance benchmarking, and end-to-end workload testing, covering multiple layers of the software stack including ML frameworks, runtime behaviour, distributed execution, and system-level functionality.
The team collaborates closely with software engineering teams throughout the development lifecycle, helping define validation strategies early and implementing the test coverage required to validate correctness, functionality, scalability, and performance. The ML QA team also owns performance-focused validation, including benchmark execution, regression analysis, and reporting across real-world ML workloads and extracted model subgraphs.
As Technical Product Owner for ML QA, you will help coordinate and prioritise this work, ensuring the team has clear direction, well-defined deliverables, and alignment with wider software roadmap objectives.
Responsibilities and Duties
- Own and Shape the Component Backlog
- Create and maintain team roadmaps for the Program Increment (PI) and long term plan to help visualise the current backlog and communicate status and progress to all stakeholders.
- Translate feature-level intent into actionable Software QA work and feedback team intent and challenges to help shape the features with the Technical Product Manager.
- Maintain a clear, prioritised backlog of Epics and Stories for the Software QA team.
- Ensure all work is clearly linked to higher-level product outcomes.
- Work with engineers and technical leads to refine acceptance criteria, validation scope, and delivery expectations.
- Support Delivery Across Sprints and Planning Increments
- Actively support sprint planning, reviews, demos, providing visual outputs that demonstrate progress against the plan, learnings and changes.
- Involve the team in the right discussions to ensure desired outcomes are realistic, and the team’s ability to deliver them are clearly communicated.
- Ensure the backlog is sufficiently maintained to prepare for PI planning, identifying dependencies and risks early and aligning with other teams on the scope taken into planning.
- Ensure your team’s work aligns with agreed PI objectives.
- Coordinate Validation Across Teams
- Work closely with Technical Product Owners, Product Managers, engineering teams, and technical leads to manage dependencies and alignment.
- Coordinate feature validation planning with teams working across ML frameworks, runtime systems, performance tooling, distributed execution, and infrastructure.
- Help ensure testing, benchmarking, and integration activities are planned early as part of feature development.
- Facilitate communication between teams to identify risks, blockers, and changing priorities.
- Enable Effective Technical Collaboration
- Develop sufficient technical understanding of the ML software stack and validation workflows to engage effectively with engineers and stakeholders.
- Help prioritise validation coverage for new features, performance improvements, and software changes.
- Support constructive technical discussions while balancing delivery priorities and quality expectations.
- Help remove organisational blockers and improve coordination across teams and stakeholders.
Candidate Profile
Essential:
- Experience working as a Product Owner (or similar role) in an agile environment.
- Ability to communicate clearly with both technical and non-technical stakeholders.
- Strong backlog management and refinement skills.
- Proven experience in developing product vision and roadmaps.
- Ability to understand and discuss technical concepts related to software development, testing, or infrastructure.
- Strategic mindset with empathy and ability to bring calm, clarity and support.
- Excellent facilitation skills, ability to guide discussions / events to conclusion.
- Ability to simplify and present complex information.
- Confidence working with technical teams and complex systems.
- Experience coordinating work across multiple teams or components.
Desirable
- Certified Scrum Product Owner (CSPO) or Professional Scrum Product Owner (PSPO).
- Experience of working in SAFe / Scrum@scale.
- Experience with Atlassian Tool Suite.
- Experience working with machine learning software, ML infrastructure, or performance benchmarking environments.
Benefits
In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications.
ML QA Technical Product Owner in Bristol employer: graphcore
Graphcore is an exceptional employer, offering a dynamic work environment where innovation thrives and every team member has the opportunity to make a significant impact on the future of AI technology. With a strong commitment to employee well-being, we provide flexible working arrangements, comprehensive health benefits, and a culture that values diversity and inclusion. Our central Bristol office fosters collaboration and creativity, making it an ideal place for professionals eager to grow and contribute to groundbreaking advancements in machine learning.
StudySmarter Expert Advice🤫
We think this is how you could land ML QA Technical Product Owner in Bristol
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Graphcore. LinkedIn is your best mate here—send personalised connection requests and engage with their posts. You never know who might give you a nudge in the right direction!
✨Tip Number 2
Prepare for those interviews by diving deep into Graphcore's tech. Familiarise yourself with their ML software stack and how it integrates with hardware. Show them you’re not just another candidate; you’re genuinely interested in their work and ready to contribute!
✨Tip Number 3
Practice your pitch! Be ready to explain how your experience aligns with the role of Technical Product Owner. Highlight your backlog management skills and how you've successfully coordinated across teams in the past. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining the team. Keep an eye on the job postings and get your application in as soon as you can!
We think you need these skills to ace ML QA Technical Product Owner in Bristol
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience as a Product Owner in an agile environment. We want to see how your skills align with the responsibilities outlined in the job description.
Showcase Your Backlog Management Skills:Since backlog management is key for this role, include specific examples of how you've successfully maintained and prioritised backlogs in previous positions. This will help us understand your approach and effectiveness.
Communicate Clearly:We value clear communication, so ensure your application reflects your ability to convey complex information simply. Use straightforward language and structure your thoughts logically to make it easy for us to follow.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at graphcore
✨Know Your Stuff
Make sure you have a solid understanding of the ML software stack and validation workflows. Brush up on your knowledge of machine learning frameworks, performance benchmarking, and agile methodologies. This will help you engage effectively with both technical and non-technical stakeholders during the interview.
✨Showcase Your Backlog Management Skills
Be prepared to discuss your experience in backlog management and refinement. Bring examples of how you've prioritised tasks and aligned them with product outcomes in previous roles. This will demonstrate your ability to maintain a clear, prioritised backlog for the Software QA team.
✨Communicate Clearly
Practice articulating complex technical concepts in a simple way. You’ll need to communicate effectively with various teams, so think about how you can simplify your explanations without losing the essence of the information. This skill is crucial for a Technical Product Owner.
✨Prepare for Team Collaboration
Think about how you’ve facilitated discussions and coordinated work across multiple teams in the past. Be ready to share specific examples of how you’ve managed dependencies and risks, and how you’ve ensured alignment with other teams. This will show that you can enable effective technical collaboration.
