---
title: 'Forward Deployed Software Engineer at Encord'
canonical: 'https://feeny.ai/job/forward-deployed-software-engineer-encord-new-york-4719sahv4rsn'
type: 'job'
last_seen: '2026-10-17'
---

# Forward Deployed Software Engineer at Encord

- **Company:** Encord
- **Location:** New York, NY
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-10-06
- **Last confirmed live:** 2026-10-17
- **Apply:** https://jobs.ashbyhq.com/encord/3217ff0b-692c-434d-937c-d3ea22642952

## 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

We're looking for an exceptional Forward Deployed Software Engineer (FDSE) to join our engineering team. This is an engineering-first role: FDSEs are the technical owners who take the Encord platform into our most strategic and advanced customer environments, working directly with users and their engineering teams to understand complex problems, make system design decisions, and build production software that solves them.

As an early member of the Forward Deployed team, you'll have an outsized impact on shaping a critical engineering function at Encord. You'll work hands-on across the stack, from APIs and data workflows to backend services and product surfaces, while owning technical problems end to end. You'll make architecture decisions under real production constraints, debug complex integrations and workflows, and build solutions that can scale beyond a single customer or use case. You'll operate autonomously, defining the right technical approach with limited guidance, building trusted relationships with users, and feeding what you learn directly back into the product and engineering roadmap.

## What you'll do

- Design and build production software for complex data, ML, and application environments
- Own system design decisions for deployments, balancing correctness, scalability, performance, and speed
- Work directly with customers and their engineering teams to understand ambiguous problems and define the right technical solution
- Build across the stack, from APIs and data workflows to backend systems and product-facing functionality
- Own deployments from technical scoping through implementation, rollout, and iteration
- Turn recurring customer problems into reusable tooling and product capabilities
- Debug complex production issues across reliability, performance, and data flow
- Communicate technical decisions and trade-offs clearly to technical and non-technical stakeholders
- Operate with high autonomy and own problems end to end
- Feed deployment insights back into Product and Engineering, and help shape the FDSE function as the team grows

Who we're looking for

- A strong software engineer. You have solid fundamentals and the technical depth to design and build complex production systems
- A first-principles problem solver. You dig into the underlying problem, challenge assumptions, and make sound technical and product trade-offs rather than defaulting to the obvious solution
- A strong communicator and stakeholder partner. You can build trust, navigate competing priorities, and explain complex decisions clearly
- An autonomous builder. You operate with limited guidance, create structure from ambiguity, and drive problems through to production
- A versatile product engineer. You’re comfortable working across the stack and moving between hands-on engineering, product thinking, and conversations with the people using what you build

## Experience requirements

- 4+ years of software engineering experience with strong CS fundamentals
- Experience building production software across the stack, from product-facing applications and APIs to backend services and data workflows
- Strong system design judgment and experience making architecture decisions for complex software
- Strong coding skills in a modern language; Python is a plus
- Evidence of owning technical problems end to end, from design through production
- Strong product judgment, technical communication, and stakeholder management
- Experience working directly with users, customers, or external engineering teams is a plus
- Bonus: experience in a high-growth startup, developer platform, or ML/data product environment

## Why Encord

- Competitive salary, bonus, and meaningful equity in a high-growth startup
- Strong in-person culture — most of the team works from our London office 4+ days/week
- Flexible PTO to fully recharge
- Annual learning & development budget
- Comprehensive health, dental, and vision coverage
- Frequent travel opportunities across the U.S., London, and Europe
- Bi-annual company offsites, daily team lunches, and monthly socials

## 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

- [Research Engineer](https://feeny.ai/job/research-engineer-encord-london-qt7497ayjd63) — London, United Kingdom
- [Product Engineer, DaaS](https://feeny.ai/job/product-engineer-daas-encord-san-francisco-f6gesst71key) — San Francisco, CA
- [Lead Security Engineer](https://feeny.ai/job/lead-security-engineer-encord-london-fj2ez55e8f2a) — London, United Kingdom
- [Senior Product Marketing Manager](https://feeny.ai/job/senior-product-marketing-manager-encord-san-francisco-h8ysd3hz9xy0) — San Francisco, CA
- [Quant Developer in AI](https://feeny.ai/job/quant-developer-in-ai-encord-london-t65rb61mhqm0) — London, United Kingdom
- [Recruiting Engineer](https://feeny.ai/job/recruiting-engineer-encord-san-francisco-drbf5mvebenk) — San Francisco, CA
- [GTM Recruiter Associate](https://feeny.ai/job/gtm-recruiter-associate-encord-san-francisco-e5w4f4w592aq) — San Francisco, CA
- [Product Lead](https://feeny.ai/job/product-lead-encord-london-xf3epm3b93c1) — London, United Kingdom
- [Senior Engineer - High Performance Data Systems](https://feeny.ai/job/senior-engineer-high-performance-data-systems-encord-london-pd26ktn3z19n) — London, United Kingdom
- [DevOps Engineer](https://feeny.ai/job/devops-engineer-encord-london-kk24f4kzakj6) — London, United Kingdom