---
title: 'Product Engineer (Backend) at V7'
canonical: 'https://feeny.ai/job/product-engineer-backend-v7-london-vs6gzrng3nns'
type: 'job'
last_seen: '2026-10-18'
---

# Product Engineer (Backend) at V7

- **Company:** V7
- **Location:** London, United Kingdom
- **Compensation:** £90k–£160k
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-10-06
- **Last confirmed live:** 2026-10-18
- **Apply:** https://jobs.ashbyhq.com/v7labs.com/abd684f4-7aff-43be-b031-ff835061f2c6

## 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).

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

- Reporting to Chris, our Engineering Manager, you’ll be working in the Go Engineering team.
- You’ll work in a team of (eventually) 7 people and be given significant responsibility, not just for coding but also for testing, planning, and analysis.
- You’ll set your own goals, plans, and metrics, focusing on impact and outcomes rather than task completion.
- Engineers are expected to be self-starters who really strive for impact. This means proactively solving problems, seeking help when needed, and having a strong sense of product ownership.

## What you’ll be doing from day one

- Enabling foundation models to be applied to multimodal data at scale.
- Helping to scale our platform to meet challenging multi tenant usage patterns.
- Building a rich suite of APIs to power all of our internal systems and customer-facing products.
- Shipping to production multiple times a day, working closely with Product and Design to solve customer problems.

## Who you are

- You’ll have experience with functional programming. Familiarity with Elixir is a plus, but other languages like Scala, GoLang, Node.js, Haskell, Clojure, and F# are also great.
- Infrastructure management experience at scale; ideally you should be comfortable in using AWS and terraform.
- An understanding of queue management and observability.
- Experience with orchestration tools like Docker.
- Knowledge of GenAI and prompt engineering.
- Place the customer at the heart of everything you do.

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)

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- [Product & Brand Designer](https://feeny.ai/job/product-brand-designer-v7-london-b4c0yf8rd7q7) — London, United Kingdom
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