--- title: 'Forward Deployed Engineer at V7' canonical: 'https://feeny.ai/job/forward-deployed-engineer-v7-london-f0165e69n41x' type: 'job' last_seen: '2026-09-06' --- # Forward Deployed Engineer at V7 - **Company:** V7 - **Location:** London, United Kingdom - **Compensation:** £70k–£90k - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-07-16 - **Last confirmed live:** 2026-09-06 - **Apply:** https://jobs.ashbyhq.com/v7labs.com/7f45f354-dec1-4315-89ca-0706c84c5197 ## 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 is a platform for building and deploying custom AI agents, made for the document-heavy work finance and insurance teams handle every day. It takes multi-modal data and returns verifiable outputs with transparent logic, so accuracy and compliance come built in. It runs on the latest models too, including GPT, Claude and Gemini. 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. Most AI agents still behave like black boxes. They wander off-task, miss the context that matters, and make calls you can't check. Go Agents are different: predictable, transparent, and auditable at every step. - Build custom AI workflows https://www.v7labs.com/tables with controlled analysis at every stage. Every output comes with citations and a full audit trail, so the human in the loop can see exactly how it got there. - The Context Graph https://www.v7labs.com/context-graph makes all your data (across workflows, documents and integrations) queryable in one place, giving your agents the context to be properly useful. It's your institutional memory. The team you’ll be joining and the impact you’ll have - You'll join our go-to-market team as our second Solutions Engineer in New York (the team is six people), sitting at the intersection of sales and product in a company processing tens of millions of documents for customers across finance, insurance, and real estate. - V7 Go 4x-ed revenue last year, with 160%+ upsell into accounts. You'll help accelerate that trajectory by making sure every customer gets real value. - We run a lean, high-trust team where you'll work directly with AEs, engineers, and product to close complex deals and turn new logos into long-term champions. - Your work directly shapes how enterprises experience agentic AI for the first time and how quickly they believe in it. ## What you’ll be doing from day one - Run technical discovery, design solutions, and lead POCs alongside Account Executives to close deals, then own onboarding to get customers to first value fast. - Build and implement workflows within V7 Go; combining prompt engineering, data pipelines, and integrations to solve real customer problems across document processing and more. - Act as the primary technical contact for accounts, handling complex challenges and spotting expansion opportunities as customers scale. - Juggle up to 10 concurrent projects while feeding customer insights back to product and engineering. ## Who you are - You are a prototyper at heart with a gift of talking to customers, building relationships, and solving technical problems with repeatability. - You have experience in delivering Large Language Model projects with customers, including LLM API integration, up-to-speed knowledge of foundation models, solutions design/architecture, integrating different cloud providers, prompt engineering, and/or measuring AI accuracy. - You love coding with Python. - You can develop and articulate an AI solution vision to technical and business stakeholders, with customers and partners to match the value proposition to business needs. 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 - [Demand Generation Lead](https://feeny.ai/job/demand-generation-lead-v7-new-york-r9gm4z9yyzk4) — New York, NY - [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-monday-com-paris-2y8wvht9z97a) — Paris, France - [Forward Deployed Engineer](https://feeny.ai/job/forward-deployed-engineer-monday-com-london-6fbhd14ej1sg) — London, United Kingdom - [Forward Deployed Engineer](https://feeny.ai/job/forward-deployed-engineer-altara-san-francisco-3wakb3c3jxca) — San Francisco, CA - [Forward Deployed Engineer](https://feeny.ai/job/forward-deployed-engineer-arcade-austin-e48rc1w4eya7) — Austin, TX - [Forward Deployed Engineer](https://feeny.ai/job/forward-deployed-engineer-arcade-san-francisco-wsyd3vxnje2s) — San Francisco, CA - [Forward Deployed Engineer](https://feeny.ai/job/forward-deployed-engineer-datasnipper-new-york-8gtvs254stky) — New York, NY - [Forward Deployed Engineer](https://feeny.ai/job/forward-deployed-engineer-datasnipper-amsterdam-yvrr6wde1rx9) — Amsterdam, Netherlands - [Forward Deployed Engineer](https://feeny.ai/job/forward-deployed-engineer-caylent-mexico-z01wd5y6xens) — Mexico