Staff Product Manager

V7
London
Workplace: OnsiteFull timeGBP 100,000 - 140,000 annuallyFunction: Product ManagementSkills: ["Product ownership","Roadmap prioritization","Trade-off decision making","Documentation","Cross-functional collaboration","LLM/agent evaluation"]

Own V7 Go end-to-end, setting and executing the product roadmap for finance and insurance document workflows. Decide what gets built, what gets killed, and define what “good” looks like through discovery-to-launch and adoption metrics. Work closely with engineers, designers, and founders to keep workflows, Context Graph, and chat coherent—while building verifiable AI experiences using LLMs and agents with transparent logic.

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FursaFursa
V7
V7
16 hours ago

Staff Product Manager

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 8 hours agoStatus: Live

Job Summary

Own V7 Go end-to-end, setting and executing the product roadmap for finance and insurance document workflows. Decide what gets built, what gets killed, and define what “good” looks like through discovery-to-launch and adoption metrics. Work closely with engineers, designers, and founders to keep workflows, Context Graph, and chat coherent—while building verifiable AI experiences using LLMs and agents with transparent logic.
Location: London
Workplace: Onsite
Employment Type: Full time
Job Function: Product Management
Seniority: Mid level

Key Responsibilities

  • •Own the V7 Go roadmap, continuously shipping and deciding what gets built or killed.
  • •Identify which problems are worth solving across competing stakeholder needs.
  • •Define product success criteria before building and validate via outcomes and adoption.
  • •Make trade-off calls on scope and feature quality, and explain decisions clearly.
  • •Keep the product coherent by integrating workflows, Context Graph, and chat into a single experience.

Pay and Benefits

Salary: GBP 100,000 - 140,000 annually
Equity and Bonus:Equity
Perks:Equity

Key Requirements

  • •Have owned a product properly end-to-end in a startup or strong product culture (discovery through launch).
  • •Have owned a real product area end to end, not just managed a backlog set by others.
  • •Have built for expert users in domains such as B2B SaaS, fintech, insurtech, developer tools, or data platforms.
  • •Be hands-on with LLMs and agents, with views on what they’re good and bad at and the ability to evaluate demos vs product outcomes.
  • •Be able to engage engineers on trade-offs without needing everything translated, and thrive with limited certainty.
Experience:StartupB2B SaaSFintechInsurtechDeveloper toolsData platforms
Skills:Product ownershipRoadmap prioritizationTrade-off decision makingDocumentationCross-functional collaborationLLM/agent evaluation
Tech Stack:LLMsAgentsGPTClaudeGeminiContext GraphWorkflow automation

Company Brief

V7
Provides a computer vision platform for labeling, managing, and training AI models on image and video data, helping enterprises accelerate ML workflows with automated annotation, dataset versioning, and model evaluation tools.
Industry: AI & Machine Learning
Company Size: Medium (51 to 250 employees)
Growth: Growth Stage Startup
Funding: Series A
Headquarters: London, United Kingdom
Founded: 2017
WebsiteLinkedIn