--- title: 'Financial Analyst at Encord' canonical: 'https://feeny.ai/job/financial-analyst-encord-london-sn0f04xmtywv' type: 'job' last_seen: '2026-09-05' --- # Financial Analyst at Encord - **Company:** Encord - **Location:** London, United Kingdom - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-09-03 - **Last confirmed live:** 2026-09-05 - **Apply:** https://jobs.ashbyhq.com/encord/60e9fe72-a087-493e-b74a-bf4add586e9a ## Job description ## ABOUT US Encord is the universal data layer for AI that helps 300+ AI teams train and run models on the right data. Our platform indexes, curates, annotates, and evaluates data across the full AI lifecycle, from development through production. Trusted by Woven by Toyota, AXA, UiPath, Zipline, and more. We're an ambitious team of 100+ working at the frontier of AI and have raised $60M in Series C funding from Wellington Management, CRV, Next47 and Y Combinator. ## THE ROLE As Finance Associate at Encord, you'll own the operational core of our finance function, including: supplier payments, customer invoicing, and month-end reconciliations - ensuring everything runs accurately and on time. You'll partner closely with the wider finance function and cross-functional teams across the business, helping make finance a great partner to the rest of the company. The day-to-day processes are yours to run and improve: where something is manual or unclear, you'll have the real opportunity to make it better. It's a strong fit for someone early in their finance career who takes ownership seriously and wants their work to underpin the teams building tools for multimodal AI. ## WHAT YOU'LL DO - Manage day-to-day bookkeeping, accounts payable, VAT returns and accounts receivable. - Process employee expense reports and ensure adherence to company policies. - Oversee client invoicing and manage billing workflows. - Assist with month-end close procedures, bank reconciliations, and general ledger maintenance. - Support financial reporting, budgeting, and variance analysis. - Collaborate on ad-hoc finance and operational projects as they arise. ## WHO WE'RE LOOKING FOR - Precision in the core. You take pride in managing the transactional heart of the company. You aren't just processing invoices or reconciling accounts; you view accuracy in bookkeeping and compliance as the critical foundation that allows us to move fast and make informed decisions. - A builder of systems. You don’t just accept manual processes as status quo. Whether it’s improving expense workflows or refining billing, you look for the "better way" to do things, ensuring our financial systems scale as quickly as our business. - Collaborative by nature. You recognize that effective finance isn’t a back-office function—it’s a partner to the business. You’re ready to bridge the gap between financial operations and the cross-functional teams building the tools for multimodal AI. - Ready for high-growth ownership. You are early in your finance career, but you crave responsibility. You want a role where your daily output directly supports our growth, and you’re hungry for the professional development that comes from operating in a fast-paced environment. ## EXPERIENCE REQUIREMENTS - Degree in Finance, Accounting, Economics, or a related quantitative field. - 1-2 years of experience in a finance, accounting, or analytical role (tech or startup experience is a plus, but not required). - Solid foundational knowledge of bookkeeping, accounts payable/receivable, and invoicing. - Strong attention to detail, accuracy, and organizational skills. - Proficiency in spreadsheet software and financial tools. An understanding of AI-native finance stacks would be advantageous - Proactive mindset with the ability to adapt in a fast-paced, growing environment. ## WHY ENCORD - Competitive salary, commission, and equity in a high-growth startup - Strong in-person culture — most of the team works from our London office 4+ days/week - 25 days annual leave + UK public holidays - Annual learning & development budget - Travel for customer visits, events, and conferences across the UK and Europe - Company lunches twice a week - Monthly socials & bi-annual team offsites ## About Encord ## Company Overview - **One-liner**: Encord provides the data infrastructure layer for physical AI, helping teams curate, annotate, evaluate, and manage multimodal training data for systems like autonomous vehicles, robotics, and smart infrastructure. - **Entity Type**: Private (Venture-backed, $110M total funding) - **Headquarters**: San Francisco, California, United States (with offices in New York, NY and London, UK) - **Founded**: 2021 - **Founders**: Ulrik Stig Hansen (CEO/Co-Founder), Eric Landau (Co-Founder & President) ## Core Business - **Primary industry**: AI infrastructure / Data annotation & curation for Physical AI (autonomous vehicles, robotics, world models, industrial automation) - **Target customers**: Enterprise AI teams building multimodal, sensor-heavy AI systems (B2B, Enterprise) - **Mission/purpose**: "Train and run AI on the right data" – solving the data quality bottleneck that prevents AI products from reaching production. ## Products & Services - **Encord Platform**: End-to-end data management platform covering curation, annotation (native video, LiDAR, audio, text, sensor fusion), RLHF alignment, and model evaluation. API/SDK-first, zero data migration, runs on the customer’s cloud. - **Data-as-a-Service (DaaS)**: Professional services for data collection and annotation, including in-field operators and teleoperation facilities matched to physical AI tasks. ## Market Standing - **Valuation/Market Cap**: Not publicly disclosed - **Key Metric**: Total funding $110.1M (as of 2026); annual revenue estimated at $5.5M (LinkedIn proxy, "Not publicly available" for official numbers) - **Notable Investors/Partners**: CRV, Y Combinator (W21 batch), and individual investors like Luc Vincent (former VP of AI at Meta). Customers include Toyota, Skydio, Maxar, and UiPath (UiPath achieved near 99% model accuracy and 10x dataset growth using Encord). - **Growth Signals**: 139 employees (+74.3% YoY, +78 people); 300+ teams using the platform; operates in 7 countries; recognized as one of the fastest-growing companies in the data annotation space; strong customer retention (e.g., UiPath 4x reduction in error rate). ## Competitive Advantages - **Built for Physical AI**: Multimodal by design from the ground up – handles synchronized LiDAR, camera, radar, depth, force/torque, audio, and text in a single workflow. - **Enterprise‑grade trust**: Zero data migration (data stays in customer cloud), API/SDK-first integration, label lineage and quality controls for production scale. - **Proven at scale**: Used by leading autonomous vehicle, robotics, and enterprise AI teams; validated by public case studies (UiPath, Toyota, Skydio). ## Strategic Focus - Deepen capabilities for world models, VLA (Vision-Language-Action) models, and robotic perception. - Expand Data-as-a-Service offerings for physical AI data collection and annotation. - Continue scaling the customer base across industrial, manufacturing, autonomous vehicles, and smart infrastructure verticals. ## Why Work Here - **Culture**: “Strong in-person culture” with hybrid/office‑first approach (San Francisco, New York, London). 45+ nationalities represented. Core values: “Builds with care + urgency” and “High agency”. - **Compensation & Benefits**: Equity in a hyper‑growth startup; 25 days paid time off; private health insurance (UK/US); team lunch twice a week; monthly team events and bi‑annual offsites; cycle to work scheme; home & tech scheme; annual learning & development stipend; payroll giving scheme. - **Visa Policy**: Case-by-case visa sponsorship, confirmed early in the recruiter screen. - **Interview Process**: Typically 4–5 stages: recruiter screen, hiring manager conversation, skills‑based interview or take-home, and final panel. Recruiter walks candidates through specifics upfront. - **Early‑career programs**: Commercial Associate program (GTM launchpad) and early‑career engineering/ML roles – no formal internship program but hires ambitious early‑career candidates. ## Sources 1. [encord.com – Careers page](https://encord.com/careers) 2. [encord.com – Homepage](https://encord.com/) 3. [encord.com – About page](https://encord.com/about-us/) 4. [linkedin.com – Encord company page](https://es.linkedin.com/company/encord-team) 5. [ycombinator.com – Encord jobs](https://www.ycombinator.com/companies/encord/jobs) ## Other roles at Encord - [Learning & Development Specialist](https://feeny.ai/job/learning-development-specialist-encord-london-3jnes7dddr82) — London, United Kingdom - [Technical Program Manager](https://feeny.ai/job/technical-program-manager-encord-london-szj48frfp5g0) — London, United Kingdom - [Quality Systems Lead](https://feeny.ai/job/quality-systems-lead-encord-london-3ryf0bcpedap) — London, United Kingdom - [Learning Design Lead](https://feeny.ai/job/learning-design-lead-encord-san-francisco-6dss6rc19q72) — San Francisco, CA - [Senior Software Engineer - Backend](https://feeny.ai/job/senior-software-engineer-backend-encord-london-3afsyr22tbxt) — London, United Kingdom - [Principal Engineer - Backend](https://feeny.ai/job/principal-engineer-backend-encord-london-stnvm858dsp8) — London, United Kingdom - [DevOps Engineer](https://feeny.ai/job/devops-engineer-encord-san-francisco-jtf91046czvy) — San Francisco, CA - [Solutions Engineer](https://feeny.ai/job/solutions-engineer-encord-london-10h4nd11q84b) — London, United Kingdom - [Customer Engineer](https://feeny.ai/job/customer-engineer-encord-new-york-0fwzrrdmx2b6) — New York, NY - [Account Executive, Physical AI](https://feeny.ai/job/account-executive-physical-ai-encord-london-mz2fnybs4s45) — London, United Kingdom