---
title: 'Lead Security Engineer at Encord'
canonical: 'https://feeny.ai/job/lead-security-engineer-encord-london-fj2ez55e8f2a'
type: 'job'
last_seen: '2026-10-17'
---

# Lead Security Engineer at Encord

- **Company:** Encord
- **Location:** London, United Kingdom
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-10-02
- **Last confirmed live:** 2026-10-17
- **Apply:** https://jobs.ashbyhq.com/encord/5c718388-17a4-4839-9556-9b39206000cd

## 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.

## About the role

We're looking for a Lead Security Engineer to own and mature how Encord secures its people, identities, devices, and the SaaS and AI tools we run the business on. You'll be hands-on, building and running controls yourself, while also owning the organisation security programme and acting as the go-to security expert across the company. You'll play a key role in protecting our leadership team from targeted attacks, serve as the technical backbone of our ISO 27001 and SOC 2 programmes, and partner with our DevOps and Platform teams on cloud security. Above all, you'll help us stay safe while keeping our pace.

## What you'll do

- Own identity and access across Encord, including SSO, MFA, conditional access, and automated joiner/mover/leaver processes.
- Manage our device security, keeping our macOS fleet protected through MDM and EDR.
- Run SaaS and AI security: discovering shadow IT, reviewing app permissions, assessing new tools before adoption, and setting sensible guardrails for how AI tools are used.
- Protect our executives and high-risk users from targeted phishing, impersonation, business email compromise, and AI-enabled fraud such as deepfakes.
- Act as the technical owner of our ISO 27001 and SOC 2 controls, from policies and evidence through to auditor walkthroughs.
- Lead third-party and vendor risk assessments.
- Respond to and lead security incidents, and continuously improve how we detect and handle them.
- Partner with DevOps and Platform to secure our cloud environment.
- Write clear policies and runbooks, and roll out changes in a way that keeps the employee experience smooth.

## What you'll bring

- Around 7–8 years of hands-on security experience, with a strong focus on organisation security.
- Experience rolling out or re-architecting SSO, MFA, and conditional access across a company.
- Experience deploying and managing MDM and EDR across a macOS fleet.
- A track record of building automated joiner/mover/leaver flows and user access reviews.
- Experience running SaaS security, including discovering shadow IT, reviewing app permissions, and assessing new tools before adoption.
- Experience putting guardrails around AI tool usage, such as approved tool lists, data handling rules, and vendor reviews of AI providers.
- Ownership of, or significant contribution to, ISO 27001 and/or SOC 2 audits, including policies, control evidence, and auditor walkthroughs.
- Experience defending against targeted phishing ("whaling") and business email compromise, such as fake CEO payment requests, invoice fraud, and gift card scams.
- Experience leading or supporting security incidents such as phishing compromises, account takeovers, or lost devices.
- Experience running third-party and vendor risk assessments and advising on the security of new tools before they're adopted.
- Experience partnering with DevOps/Platform teams to secure cloud environments (ideally GCP), including IAM, network segmentation, secrets management, logging, and CSPM.
- A habit of writing policies and runbooks that people can easily follow.
- A thoughtful approach to change: you've rolled out new controls with clear communication, phased approaches, and a focus on keeping the employee experience smooth.

## Nice to have

- Experience with Infrastructure-as-Code (e.g. Terraform).
- Experience owning vulnerability management across infrastructure, including scanning, prioritisation, remediation tracking, and SLAs.
- Experience building and improving detection and monitoring, centralising logs into a SIEM and defining meaningful alerts.
- Experience implementing and tuning SAST, DAST, SCA, and secrets scanning in CI/CD pipelines.
- Experience coordinating external penetration tests and bug reports, and driving fixes to closure with engineering teams.
- Experience helping engineers write secure code through guidance, patterns, and lightweight training.
- Experience supporting sales and customer trust by answering security questionnaires and joining customer security calls.
- Familiarity with executive digital protection, such as OSINT footprint reviews, impersonation monitoring, and out-of-band verification for sensitive requests.

## Why Encord

- Competitive salary, commission, and meaningful 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)

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