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.
AI Solutions Management
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.
Delivery & Collaboration
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.
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