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- Tasks: Shape AI products and bridge teams to deliver innovative solutions.
- Company: Join Boldspace, a carbon-neutral, B Corp-certified tech company.
- Benefits: Unlimited holiday, flexible working, and a monthly benefits budget.
- Why this job: Make an impact in the AI space while growing your career.
- Qualifications: 3-5 years in product management with strong technical skills.
- Other info: Collaborative culture with regular team socials and retreats.
The predicted salary is between 36000 - 60000 £ per year.
Boldspace is seeking a Technical Product Manager to help shape BoldLens and our action-based AI products that integrate marketing data with proprietary knowledge and AI solutions. This role is ideal for a mid-weight product manager with strong technical fluency, proven experience in end-to-end product delivery, and a passion for managing AI-powered solutions. We are excited about new in-house innovations at Boldspace, which could influence directions in the wider industry.
Responsibilities
- Act as a bridge between engineering, data science, and commercial teams to evolve BoldLoop as a category-leading AI-native SaaS platform.
- Own end-to-end product lifecycle: ideation, requirements, roadmap, delivery, iteration, and scaling.
- Manage day-to-day delivery using Linear and other modern product/tools, ensuring transparency, prioritisation, and accountability.
- Collaborate with engineers to plan, scope, and deliver LLM SDK integrations (OpenAI, Claude, Gemini).
- Ensure product roadmap reflects opportunities and constraints of LLM-based solutions.
- Understand vector databases, RAG, and retrieval pipelines to contextualise product opportunities.
- Understand APIs (GraphQL and REST) and have basic familiarity with MCP (Model Context Protocol) to support product design discussions.
- Use SQL/BigQuery at a basic level to validate requirements, check data outputs, and understand system dependencies.
- Translate technical complexity into clear product requirements, business cases, and client-facing narratives.
- Support the Lead Engineer and broader team in balancing maintenance of the current BoldLens Ruby on Rails platform with delivering the next-generation AI solution.
Key Responsibilities
- Product Ownership
- Define and prioritise product features, epics, and user stories.
- Develop and manage product roadmaps aligned with strategic objectives.
- Run discovery sessions with internal stakeholders and clients to capture needs.
- Oversee delivery of integrations with OpenAI, Claude, and Gemini SDKs.
- Evaluate and manage third-party AI tools for performance, cost, and scalability.
- Partner with engineering and data science teams to translate AI capabilities into tangible user-facing features.
- Manage product delivery using Linear, ensuring sprint planning, backlog management, and issue resolution.
- Collaborate with engineers via GitHub workflows, ensuring product priorities align with technical realities.
- Facilitate agile ceremonies: stand-ups, sprint planning, retrospectives.
- Act as the point of contact for cross-functional teams, balancing priorities and dependencies.
- Contribute to the product vision, helping shape how AI enhances analytics, automation, and client workflows.
- Monitor performance metrics, user feedback, and industry trends to identify opportunities.
- Support in scaling product management processes as the team grows.
Skills & Experience
- 3-5 years' experience as a Product Manager (ideally in SaaS, AI, or data platforms).
- Experience overseeing projects that involve OpenAI, Claude, or Gemini SDK integrations.
- High-level understanding of vector databases, RAG pipelines, retrieval systems, and API models (GraphQL, REST, MCP).
- High-level knowledge of SQL and BigQuery, with ability to write and run basic queries.
- Exposure to ETL/ELT solutions such as Fivetran or Airbyte, and a high level of data literacy.
- Hands-on experience managing delivery with Linear (or similar tools: Jira, Clubhouse).
- Strong understanding of end-to-end product lifecycle and agile product development.
- Technical fluency: able to discuss architecture, APIs, and data flows with engineers.
- Familiarity with GitHub workflows, version control basics, and CI/CD processes.
- Strong analytical skills, with ability to link features to KPIs and ROI.
- Excellent stakeholder management and communication skills.
Benefits
- Pensions: 5% employer contribution
- Private Healthcare: Vitality
- Equipment: choose your own equipment
- Holiday: unlimited holiday (including UK public holidays) with guaranteed days off for birthdays and moving house
- Flexible working
- Socials: regular team socials
- Team retreats
- Bonus: transparent bonus structure based on personal and company performance
- Supporting good causes: company donation to charitable causes chosen by the team
- Wellness: time within working hours every week for those who want or need it
- Monthly benefits budget: £50 to spend on benefits (e.g., home delivery, gym memberships, mental health support, coaching)
Company & Location
Boldspace is a carbon-neutral, B Corp-certified business. From day one, we offset your carbon footprint; the cost is covered by the company.
Technical Product Manager in London employer: Boldspace | B CorpTM
Contact Detail:
Boldspace | B CorpTM Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Technical Product Manager in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio or a personal website showcasing your projects, especially those related to AI and product management. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios specific to product management. Think about how you’d handle challenges related to AI solutions and be ready to discuss your past experiences.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our team at Boldspace.
We think you need these skills to ace Technical Product Manager in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Technical Product Manager role. Highlight your experience with AI solutions, product lifecycle management, and any relevant tools like Linear or GitHub.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about AI and product management. Share specific examples of how you've successfully managed product delivery and collaborated with cross-functional teams in the past.
Showcase Your Technical Fluency: Since this role requires strong technical skills, don’t shy away from mentioning your familiarity with APIs, SQL, and vector databases. We want to see how you can bridge the gap between engineering and commercial teams.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Boldspace | B CorpTM
✨Know Your Tech Inside Out
As a Technical Product Manager, you need to be fluent in the technical aspects of the role. Brush up on your knowledge of APIs, vector databases, and AI integrations like OpenAI and Claude. Be ready to discuss how these technologies can enhance product features and user experiences.
✨Showcase Your Product Management Skills
Prepare to talk about your experience with end-to-end product delivery. Highlight specific projects where you've managed the product lifecycle, from ideation to scaling. Use examples that demonstrate your ability to balance technical requirements with business needs.
✨Engage with Cross-Functional Teams
Since this role involves collaboration with engineering and data science teams, be prepared to discuss how you've successfully worked with diverse groups in the past. Share examples of how you facilitated communication and prioritised tasks to meet project goals.
✨Demonstrate Your Analytical Mindset
Be ready to discuss how you use data to inform product decisions. Familiarise yourself with performance metrics and user feedback, and think of ways you've used these insights to drive product improvements. This will show your potential employer that you're data-driven and results-oriented.
