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V7 Labs

SaaS platform unifying datasets, models, workflows

Senior / Staff Product Manager

Product ManagementConfirmed live in the last 24 hours
Full-timeLondon, UK£100k - £140k /yrIn-person

About the Job

Requirements

  • You have owned a product properly at a startup or somewhere with a serious product culture, with responsibility beyond running a backlog someone else set.
  • You have owned a real product area end to end at a startup or a company with a serious product culture, from discovery through launch rather than backlog management.
  • You have built for expert users who know their domain better than you do, in areas such as B2B SaaS, fintech, insurtech, developer tools, or data platforms.
  • You are hands-on with large language models and agents, build with them, understand their strengths and weaknesses, and can distinguish a demo from a product.
  • You can discuss trade-offs with engineers without needing everything translated.
  • You are comfortable working with uncertainty and shifting priorities.

Responsibilities

  • Own V7 Go as a whole product, working with engineers, designers, and the founders.
  • Own the product roadmap, decide what gets built, stop work that does not matter, and ship continuously rather than in quarterly chunks.
  • Identify which customer and business problems are worth solving amid competing requests from sales and customers.
  • Define success criteria before development and assess outcomes afterwards, focusing on adoption rather than shipped tickets.
  • Make and explain trade-off decisions about scope, priorities, and what to defer.
  • Document decisions, trade-offs, and reasons for declining work so the team stays aligned.
  • Keep workflows, Context Graph, and chat coherent as one product, ensuring self-serve features do not require explanation.

About the Company

V7 Labs

SaaS platform unifying datasets, models, workflows

V7 Labs provides a SaaS platform that unifies datasets, models, and ML talent to manage computer-vision projects end-to-end. Its tools, including V7 Darwin for complex data annotation and V7 Go for workflow automation, cover the full ML lifecycle from labeling to deployment with AI-assisted labeling. It distinguishes itself by offering an integrated data engine that links data, models, and people in one system, serving large enterprises across healthcare, manufacturing, automotive, and more. Its goal is to accelerate AI development by streamlining data management, labeling, model training, and deployment in computer vision.

Company size
51-200
Company stage
Series A
Total funding
$50M
Headquarters
London, United Kingdom
Founded
2018

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