At a Glance
- Tasks: Shape AI products and manage the end-to-end product lifecycle.
- Company: Join Boldspace, a carbon-neutral, B Corp-certified tech innovator.
- Benefits: Unlimited holiday, flexible working, and a monthly benefits budget.
- Other info: Dynamic environment with opportunities for personal and professional growth.
- Why this job: Make an impact in AI while collaborating with talented teams.
- Qualifications: 3-5 years as a Product Manager with strong technical skills.
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 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
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with Boldspace employees on LinkedIn. Building relationships can open doors that job applications alone can't.
✨Tip Number 2
Prepare for interviews by understanding Boldspace's products and their AI solutions. Be ready to discuss how your experience aligns with their needs, especially around product delivery and technical fluency.
✨Tip Number 3
Showcase your passion for AI and product management during interviews. Share examples of how you've successfully managed projects involving AI tools or integrations, and how you can contribute to Boldspace's innovative vision.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're genuinely interested in being part of the Boldspace team.
We think you need these skills to ace Technical Product Manager
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Technical Product Manager role. Highlight your experience with AI solutions, product lifecycle management, and any relevant technical skills that align with what we're looking for at Boldspace.
Showcase Your Technical Fluency: We want to see your understanding of APIs, SQL, and data management. Don’t just list your skills; provide examples of how you've used them in past projects. This will help us see how you can bridge the gap between engineering and commercial teams.
Be Clear and Concise: When writing your application, clarity is key! Use straightforward language to explain your experiences and achievements. We appreciate a well-structured application that gets straight to the point without unnecessary fluff.
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you're keen on joining our team!
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 managing the end-to-end product lifecycle. Highlight specific projects where you've successfully defined product features, managed roadmaps, and collaborated with cross-functional teams. Use examples that demonstrate your ability to balance technical requirements with business needs.
✨Be Agile and Adaptable
Familiarise yourself with agile methodologies and tools like Linear or Jira. Be prepared to discuss how you've facilitated agile ceremonies and managed sprints in previous roles. Showing that you can adapt to changing priorities will impress interviewers.
✨Communicate Clearly and Effectively
Strong communication skills are crucial for this role. Practice translating complex technical concepts into clear, client-facing narratives. During the interview, aim to demonstrate your ability to engage with both technical and non-technical stakeholders seamlessly.