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- Tasks: Lead the roadmap for data features and automation tools in a dynamic B2B SaaS environment.
- Company: Join a growing company at the forefront of data, automation, and enterprise software solutions.
- Benefits: Enjoy 25+ days annual leave, wellness days, and health benefits in a hybrid work setting.
- Why this job: Shape the future of AI and data while collaborating with innovative teams in a supportive culture.
- Qualifications: Experience in product management, data analytics, and familiarity with technical tools like APIs and SQL.
- Other info: Work autonomously with a focus on pragmatic problem-solving and mentorship opportunities.
The predicted salary is between 43200 - 72000 £ per year.
We’re partnering with a growing B2B SaaS company at the intersection of data, automation, and enterprise software. Their platform helps clients streamline complex business workflows by leveraging actionable insights, intelligent automation, and scalable data services.
They’re expanding their product function and looking for a Lead Product Owner to focus on data and AI-powered capabilities. This is a strategic but hands-on role where you’ll work across multiple squads, helping to shape how data is captured, structured, and delivered across their platform.
You’ll work closely with Engineering, Data, and Commercial teams to drive forward key initiatives, from integrating machine learning into core services to improving how data is surfaced to end users.
What you’ll be doing:
- Own the roadmap for data-centric features, automation tooling, and system integrations
- Work closely with cross-functional teams to turn complex requirements into clear, prioritised workstreams
- Drive the development of internal data products and APIs that power analytics and automation
- Support the introduction of AI/ML where it adds genuine user or business value
- Lead a small team of Product Owners or contribute to developing their capabilities
- Maintain clear metrics, prioritisation logic, and communication across stakeholders
What we’re looking for:
- Product management experience in data, analytics, automation, or platform environments
- Familiarity with technical tools like Postman, APIs, SQL, or data visualisation tools
- Experience working with backend teams, ideally in a B2B or SaaS context
- Understanding of how AI or LLMs can be applied to data transformation or decision-making workflows
- Experience mentoring others or leading on cross-team delivery
Location & Ways of Working:
Hybrid role; typically 1–2 days a week in their London office. The team works with a good degree of autonomy and values pragmatic problem-solving over red tape.
Benefits include:
- 25+ days annual leave, plus wellness days and birthday off
- Health and wellbeing benefits
- Learning and development support
- A collaborative, delivery-minded culture with regular meetups and events
Lead Product Owner employer: Prism Digital
Contact Detail:
Prism Digital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Product Owner
✨Tip Number 1
Familiarise yourself with the latest trends in data platforms and AI technologies. Being well-versed in these areas will not only help you understand the company's needs but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the B2B SaaS space, especially those who have experience in product management. Attend industry events or webinars to connect with potential colleagues and gain insights into the role.
✨Tip Number 3
Prepare to discuss your experience with cross-functional teams and how you've successfully led projects in the past. Highlight specific examples where you've driven initiatives that align with data-centric features and automation.
✨Tip Number 4
Showcase your understanding of AI and machine learning applications in product development. Be ready to share ideas on how these technologies can enhance user experience and business value, as this is a key focus for the role.
We think you need these skills to ace Lead Product Owner
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant product management experience, especially in data, analytics, and automation. Use specific examples that demonstrate your familiarity with technical tools like APIs and SQL.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data-driven solutions and AI applications. Mention how your previous experiences align with the responsibilities of the Lead Product Owner role and how you can contribute to the company's goals.
Showcase Leadership Skills: If you have experience mentoring or leading teams, be sure to include this in your application. Highlight specific instances where you drove cross-team collaboration or improved team capabilities.
Demonstrate Problem-Solving Abilities: Provide examples in your application that showcase your pragmatic problem-solving skills. Discuss how you've tackled complex requirements and turned them into actionable workstreams in past roles.
How to prepare for a job interview at Prism Digital
✨Showcase Your Product Management Experience
Be prepared to discuss your previous product management roles, especially in data, analytics, or automation. Highlight specific projects where you successfully led cross-functional teams and delivered impactful results.
✨Demonstrate Technical Familiarity
Familiarity with tools like Postman, APIs, and SQL is crucial for this role. Brush up on these technologies and be ready to explain how you've used them in past projects to enhance product features or streamline processes.
✨Discuss AI and Data Transformation
Since the role involves integrating AI/ML into products, prepare examples of how you've applied AI or LLMs in your work. Discuss the value these technologies brought to users or business outcomes.
✨Emphasise Leadership and Mentoring Skills
If you've led teams or mentored others, share those experiences. Talk about how you foster collaboration and support team members in achieving their goals, as this will resonate well with their focus on a collaborative culture.
