---
title: 'Senior / Staff Product Manager at V7'
canonical: 'https://feeny.ai/job/senior-staff-product-manager-v7-london-brq5n5jvvkbw'
type: 'job'
last_seen: '2026-10-18'
---

# Senior / Staff Product Manager at V7

- **Company:** V7
- **Location:** London, United Kingdom
- **Compensation:** £100k–£140k
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-09-15
- **Last confirmed live:** 2026-10-18
- **Apply:** https://jobs.ashbyhq.com/v7labs.com/0eb693b8-b39d-4e56-9ea7-5412ca2198a9

## Job description

V7 At V7, we’re building AI platforms that help humans do their best work, at incredible scale and speed. Our mission is to turn human knowledge into trustworthy AI, making complex tasks faster, smarter, and more accurate. We’re growing fast, backed by leading investors and AI pioneers (including the minds behind Transformers and Gemini).

The product V7 Go helps teams turn complex, repeatable work into AI workflows they can run, review and improve. Built for private markets, insurance and real estate, it supports investment diligence, underwriting, claims review and portfolio reporting—from analysing documents and data to generating deliverables and updating connected systems. Your experts define how the work should be done. V7 combines reusable Skills, shared company knowledge and configurable workflows, with citations, audit logs and human review to help teams verify results and control key decisions. It supports models including GPT, Claude and Gemini.

- Build workflows around your processes. Configure each stage, choose models and tools, and set review steps where human judgement matters. Teams can inspect sources, correct outputs and refine workflows over time. [Explore workflows](https://www.v7labs.com/tables).
- Give every workflow your firm’s knowledge. The [Context Graph](https://www.v7labs.com/context-graph) connects documents, entities, relationships and source evidence, creating institutional memory that teams and agents can draw on.
- Turn analysis into work your team can use. Generate editable memos, reports, presentations and spreadsheets, and connect workflows to the tools your business already uses. [Explore document generation](https://www.v7labs.com/slides).

Have a look at what we’re building for [finance](https://www.youtube.com/watch?v=PIRJciI62Rc&t=2s) and [insurance](https://www.youtube.com/watch?v=PSrH97RnHIw&t=5s).

The team you’ll be joining and the impact you’ll have

- You’ll own V7 Go. That’s the whole product, not a corner of it, working with engineers, designers and with the founders close by.
- Go 4x-ed revenue last year with 160%+ upsell, and we’re running tens of millions of documents through it for customers in finance, insurance and real estate. What you choose to build next is what decides where that goes.
- The product does a lot of different things for a lot of different teams. A big part of the job is having a view on what it should be, and being willing to say no to the rest.
- It’s a small product team, so there’s not much process to hide behind. If something’s broken or missing, it’s yours to sort out.

## What you’ll be doing from day one

- Owning the roadmap. Deciding what gets built, killing the stuff that doesn’t matter, and shipping continuously rather than in quarterly chunks.
- Working out which problems are actually worth solving. Sales wants one thing, the loudest customer wants another, and the interesting bet is usually neither.
- Defining what good looks like before anything gets built, then checking afterwards whether it landed. Adoption, not shipped tickets.
- Making the trade-off calls. What’s in, what’s out, what’s deliberately a bit rubbish for now, and being able to explain why to whoever asks.
- Writing things down clearly. Decisions, trade-offs, why we said no to something. It’s how a small team stays pointed the same way.
- Keeping the whole thing coherent. Workflows, Context Graph and chat need to feel like one product rather than three that happen to share a login. Most of the features are self-serve, so if it needs explaining, that's a product problem.

## Who you are

- You’ve owned a product properly, at a startup or somewhere with a serious product culture. Not running a backlog someone else set.
- You've owned a real product area end to end at a startup or a company with a serious product culture. Discovery through launch, not backlog management.
- You've built for expert users who know their domain better than you do. B2B SaaS, fintech, insurtech, developer tools, data platforms.
- You're genuinely hands-on with LLMs and agents. You build with them, you have views on what they're good and bad at, and you can tell a demo from a product.
- You can hold a conversation with engineers about trade-offs without needing everything translated.
- You’re happy without much certainty. Priorities move here more than they would somewhere bigger.
- Opinionated but not precious about it.

V7 champions equality and inclusion because diverse teams build better products. Don't check every box? Apply anyway — we value what makes you unique and will support you through the process, just let our Talent team know how they can help.

## About V7

## Company Overview
- **One-liner**: V7 provides an AI-powered context layer for private markets, turning fragmented documents and data into structured, traceable inputs for enterprise AI agents.
- **Entity Type**: Private (Series A; $43M total funding across 3 rounds)
- **Headquarters**: London, United Kingdom
- **Founded**: 2018
- **Founders**: Alberto Rizzoli (CEO), Simon Edwardsson (CTO)

## Core Business
- **Primary industries**: Private equity, investment management, finance, insurance, real estate
- **Target customers**: B2B / Enterprise – financial firms, asset managers, insurers, corporate development teams
- **Mission**: "Bring human knowledge into computers to solve the world’s most crucial tasks, and give us longer, happier lives."

## Products & Services
- **[V7 Go](https://www.v7labs.com/)**: AI agent platform for deal workflows – automates screening, due diligence, portfolio intelligence, and IC memo generation. Supports models like GPT, Claude, and Gemini. No-code agent builder with transparent, auditable AI logic.
- **[V7 Darwin](https://www.v7labs.com/about-v7)**: Legacy AI data labeling platform (now secondary focus). Used for training computer vision and NLP models with human-in-the-loop.
- **[Knowledge Hubs](https://www.v7labs.com/about-v7) (Virtual Data Room for AI Agents)**: Launched August 2025 – connects documents, data rooms, spreadsheets, CRMs, and institutional knowledge into a structured context graph for AI agents.

## Market Standing
- **Valuation / Market Cap**: Not publicly disclosed
- **Key Metric**: Total funding – $43M (prior rounds: $3M Seed in Oct 2020, $33M Series A in Nov 2022); annual revenue not disclosed but V7 Go 4x-ed revenue the previous year
- **Notable Investors / Partners**: Backed by AI pioneers including François Chollet (creator of Keras), Ashish Vaswani (co-inventor of Transformers), Oriol Vinyals (Director of Research, DeepMind), José Valim (creator of Elixir), and Nathan Benaich (General Partner, Air Street Capital). Available on AWS Marketplace.
- **Growth Signals**: 75 employees (+11% YoY); offices in London, New York, San Francisco, and remote team across 19 countries; product velocity with V7 Go launch in 2024 and Knowledge Hubs in 2025; named #1 on Sifted’s B2B SaaS Rising list (June 2024).

## Competitive Advantages
- **Traceability and trust**: Every AI output is linked back to source documents, avoiding black-box failures common in other agents.
- **Domain focus on private markets**: Deep understanding of deal workflows (CIM processing, data room due diligence, IC memos) gives a vertical-specific moat.
- **Context Graph**: Unifies siloed data (documents, CRMs, spreadsheets) into a single structured layer that agents can query with full provenance.
- **Human-in-the-loop heritage**: Born from data labeling, the company maintains a culture of reliability and human oversight in AI.

## Strategic Focus
- Scale V7 Go as the standard AI platform for private-market deal teams.
- Expand into adjacent verticals (insurance, real estate) with pre-built workflows.
- Continue investing in agentic AI that is predictable, transparent, and enterprise-grade.
- Grow go-to-market team (current openings include Solutions Engineer, Account Executive, BDRs) to capture market demand.

## Why Work Here
- **Culture**: Lean, product-focused team that “shipping often” and “build things that don’t yet exist.” Values include “Reliable in success and failure” and “Move the needle.”
- **Remote/Hybrid**: Flexible – HQ in London (Oxford Circus) with a stocked office, team lunches, and events; NYC office in Financial District with daily free lunches; remote roles available globally.
- **Perks**: £800/year personal learning budget, private medical/dental insurance (UK) or stipend (remote), enhanced parental leave, competitive stock options (UK EMI scheme), annual company retreats (e.g., Portugal), and frequent team events.
- **Engineering**: “Tech at its best” – latest Mac hardware, top-of-line software tools; high-trust environment where engineers work directly with sales and product.

## Sources
1. [V7 Careers Page](https://www.v7labs.com/careers)
2. [V7 About Page](https://www.v7labs.com/about-v7)
3. [V7 LinkedIn Profile](https://uk.linkedin.com/company/v7labs)
4. [AI Solutions Engineer Job Posting](https://jobs.ashbyhq.com/v7labs.com/00d9239d-17ab-499e-ab59-6e1fb7b1ef20)

## Other roles at V7

- [Product Engineer (Backend)](https://feeny.ai/job/product-engineer-backend-v7-london-vs6gzrng3nns) — London, United Kingdom
- [Account Executive (Insurance)](https://feeny.ai/job/account-executive-insurance-v7-new-york-fqt81g0cc5jm) — New York, NY
- [Senior Platform Engineer](https://feeny.ai/job/senior-platform-engineer-v7-london-c97tzcc1hfna) — London, United Kingdom
- [Product & Brand Designer](https://feeny.ai/job/product-brand-designer-v7-london-b4c0yf8rd7q7) — London, United Kingdom
- [Forward Deployed Engineer](https://feeny.ai/job/forward-deployed-engineer-v7-london-f0165e69n41x) — London, United Kingdom