---
title: 'AI/ML Product Engineer at Harmonic Security, Inc'
canonical: 'https://feeny.ai/job/ai-ml-product-engineer-harmonic-security-inc-london-qhjf7r0fy99b'
type: 'job'
last_seen: '2026-10-14'
---

# AI/ML Product Engineer at Harmonic Security, Inc

- **Company:** Harmonic Security, Inc
- **Location:** London, United Kingdom
- **Compensation:** £100k–£120k
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-10-02
- **Last confirmed live:** 2026-10-14
- **Apply:** https://jobs.ashbyhq.com/harmonic-security-inc/5b63dd07-4a7b-47ed-b5c3-afa279a71b86

## Job description

AI is being run everywhere, by humans and agents. Harmonic Security governs all of it. The AI Governance and Control (AIGC) platform understands user / agent intent and data context in real time, giving security teams visibility and control across every tool and workflow so companies can move faster with AI while minimizing risk. We operate in one of the fastest-moving spaces in tech: the emerging intersection of AI and cybersecurity. It's a market still being defined, and we're among the first to build natively for it - protecting sensitive data in real time, at the endpoint, with minimal friction for the teams using it. Enterprises get full visibility and control. Their people get to innovate without guardrails slowing them down. Named to the Rising in Cyber 2026 list, Harmonic is gaining serious recognition and serious traction. We're led by deep cybersecurity expertise and backed by investors who know the space: N47, Ten Eleven Ventures, and In-Q-Tel. As AI adoption inside the enterprise accelerates, the ability to safely observe, control, and enforce policy in real time isn't a nice-to-have. It's mission-critical infrastructure. That's what we build.

How We Work: AI-First by Design Harmonic exists to help enterprises adopt AI safely and at scale. We hold ourselves to that same standard. Everyone here actively leverages AI tools to perform their best work, from deep research and writing to building robust processes and automating complex workflows. We expect every new hire to bring a genuine curiosity for AI and a commitment to using it to work smarter, faster, and with greater creativity. For some, this involves tinkering and remaining open to emerging tools; for others, it means architecting entirely new systems with AI at the core. We will be transparent about expectations for every role and provide the tools and support needed for you to thrive.

## About the Team

Our Product Delivery team is the engine that turns vision into impact. We ship early and often, getting valuable features into the hands of customers quickly and iterating from there. We work in the open by default, sharing progress and ideas, and we trust each other to own outcomes. We’re a small but mighty crew where every person plays a critical role and we’re committed to using AI to work smarter and faster.

## About the Role

We're looking for an AI/ML Product Engineer to build the insight layer of Harmonic: the ML that makes sense of how people and agents are actually using AI, so our customers can see where it's creating value and where it's creating risk. This is a hands-on, individual-contributor role with real product impact. You'll take problems from messy raw data all the way to a shipped, customer-facing insight, working directly with product, engineering, security and the customers themselves. This is about turning AI usage into insight that customers act on. Classification and clustering are how we do that today, but you'll choose whatever approach fits the problem. It's Python-first engineering, not notebook analysis.

## What You'll Do

- Turn raw AI usage data into insights customers can see, trust and act on
- Own insight features end to end, from framing the question with users and product partners through to production and iteration
- Make sense of unstructured data at scale, with the quality of every output measured and understood
- Build and maintain the data pipelines behind your models, and own their deployment and reliability in production
- Build the evaluation frameworks, ground-truth sets and error analysis that prove an insight holds up before a customer sees it
- Quantify uncertainty and communicate confidence clearly, so the product never presents a shaky signal as a certain one
- Shape the product surface itself: what the model should show, to whom, and why
- Keep pace with a fast-moving field, adopting new models and approaches as they prove themselves and retiring the ones that don't
- Work across a polyglot stack: Python at the core, with Java (Spring Boot) and occasionally TypeScript when the task demands it, deployed on AWS

## What You Bring

- A track record of shipping production ML that customers or downstream product surfaces depend on, such as text or behaviour classifiers, or clustering and embedding pipelines
- Solid applied ML foundations across supervised classification and unsupervised grouping, with a clear view of which model families you've used and why; this role isn't a fit for a background built mainly on forecasting or time-series prediction
- Strong production Python for ML and data engineering – code in version control, tested and deployed, not just explored
- Rigour about validity: you routinely report precision and recall, confidence intervals and baselines, and you've run experiments or human-in-the-loop review to verify automated conclusions
- Experience delivering ML as part of a product team on a customer-visible surface, ideally having owned an insights, analytics or intelligence feature yourself
- A quantitative background (statistics, CS, physics, econometrics or equivalent) applied to real data problems
- Comfort in a polyglot codebase and a willingness to pick up a second language on the job
- Hybrid in our Shoreditch office around two days a week, potential for Remote for exceptional candidates

You Might Be a Fit if You

- Have built products in cybersecurity, AI detection, data protection, governance or enterprise SaaS – or have a real interest in how organisations adopt AI safely
- Have worked on taxonomy design, data labelling, or entity and intent categorisation in a product context
- Have been an early or founding engineer or data scientist and defined the product surface yourself
- Care whether a signal in the data is real, and will argue about sampling bias and statistical validity when it matters
- Have translated messy data into dashboards, scores or narratives that buyers rely on
- Want a senior IC seat with build-it-yourself scope, not a step onto a management ladder
- Thrive in early-stage ambiguity and prefer small, fast product companies to large platform teams
- Leverage AI tools as an engineer to help you build smarter, faster and better

## Why Join Us

This isn't just a job - it's a chance to help define a category. Harmonic Security was named to the Rising in Cyber 2026 list, and we're just getting started. We're building at the intersection of AI and security, carving out an emerging market where the rules haven't been written yet, and the people who join now will write them. We believe today's talent is tomorrow's success, and we're committed to creating an environment where you can do the best work of your life.

- Recognized momentum - We made the Rising in Cyber 2026 list, a signal that the market is taking notice
- Rare market opportunity - Join early in a category-defining company at the convergence of AI and security, where your work directly shapes how enterprises tackle one of the biggest unsolved problems in tech
- Competitive pay and meaningful equity - A real stake in Harmonic's success, not a token gesture
- Comprehensive benefits - pension plan and flexible hybrid work
- A small, high-trust team that values transparency, creativity, and continuous learning - no politics, no bureaucracy
- Thoughtful leadership - that cares deeply about your growth, not just your output
- Annual global off-sites - past trips include Lisbon, Portugal and Nashville, TN
- Real ownership - you'll shape the product, the culture, and the direction of the company from day one

Harmonic's Core Values 🌱 Flourish in the Unknown We embrace new, unfamiliar situations that require initiative and rapid decision-making. We orient ourselves quickly and deliver results with minimal guidance. 🔥 Never Full We raise our hands, take on challenges, and assist others whenever possible. We hunger for opportunities to learn and do more. 🤝 Perfect Harmony We support one another to create cohesion and unity. We collaborate openly, share feedback honestly, and help everyone produce their best work

## About Harmonic Security, Inc

## Company Overview
- **One-liner**: Harmonic Security provides an AI governance and control platform that gives enterprises real-time visibility and inline guardrails across browser, desktop, and AI agent surfaces to enable safe, fast AI adoption.
- **Entity Type**: Private (raised $24.5M total funding across Seed and Series A rounds)
- **Headquarters**: San Francisco, California, United States (with additional offices in London, UK)
- **Founded**: August 2023
- **Founders**: Alastair Paterson (CEO & Co-founder) and Mark Sutton (CTO & Co-founder)

## Core Business
- Primary industry: AI Governance and Security (Technology, Information and Internet)
- Target customers: Enterprise B2B, specifically security teams and IT administrators
- Mission: "To pave the way for secure AI adoption in enterprises, ensuring innovation thrives without compromise"

## Products & Services
- **Harmonic Security Platform**: A unified control plane covering four surfaces (browser extensions, desktop clients, MCP gateway, embedded AI copilots) that reads the intent and context of every AI interaction, applies policies inline in under 200 milliseconds, and coaches users in the moment without disrupting work.
- **MCP Gateway**: Governs agentic workflows at the Model Context Protocol layer, inspecting tool calls, scopes, and destructive actions even when no human is in the loop.
- **Browser Extension + Desktop Client**: Covers 1,000+ AI surfaces including ChatGPT, Claude Desktop, Cursor, Canva, Gamma, Grammarly, Google AI mode, and more. Detects sensitive data and enforces guardrails on end-to-end encrypted traffic that never passes through the corporate proxy.
- **Agent Governance**: Extends policies to autonomous AI agents that act independently, inspecting file reads, API calls, database writes, and email summaries.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed
- **Key Metric**: Total funding $24.5M; LinkedIn-estimated annual revenue of $1.0M (may be a placeholder)
- **Notable Investors/Partners**: Ten Eleven Ventures (Alex Doll, Founder), René Bonvanie, Grant Whiting, Bryan Woolgar-O'Neil
- **Growth Signals**: 
  - RSA Innovation Sandbox Finalist in 2024
  - Launched MCP Gateway in October 2025
  - Landed Series A funding (July 2024)
  - Headcount of ~55 employees with consistent hiring across SF, London, and remote US
  - SOC 2 and GDPR certified; EU AI Act alignment

## Competitive Advantages
- **Intent-based detection, not keyword/regex**: Policies fire on the intent and context of prompts and agent actions rather than string matching, reducing false positives.
- **Covers the full AI surface**: Browser, desktop, MCP, and embedded copilots — including traffic and agents that network tools cannot see.
- **Inline guardrails in <200ms**: Real-time decisions that coach users or block actions without disrupting workflow.
- **Privacy-by-design**: Employee names can be masked, HR/Finance/Ops/Founders excluded from reporting, and the dataset is sanitized and frozen. Designed to avoid becoming surveillance.
- **Rapid deployment**: Minutes via MDM (Intune, JAMF, Kandji, Group Policy) with no proxy redesign or certificate gymnastics. Full AI inventory available on day one.
- **Agent-ready**: Governs autonomous AI workflows at the MCP and tool call level, not just human prompts.

## Strategic Focus
- Scaling enterprise adoption of AI governance for both human and agentic AI use
- Deepening MCP Gateway capabilities as AI agents become more prevalent
- Growing the platform's coverage to new AI surfaces and expanding data classification
- Maintaining leadership in the emerging AI Security category through continued product innovation and market education

## Why Work Here
- **Culture**: Small, senior team operating in high-trust, high-ownership mode. Real responsibility from day one. Values include "Flourish in the Unknown" (comfort with ambiguity), "Never Full" (hunger to learn and help), and "Perfect Harmony" (collaboration and honest feedback).
- **Work Policy**: Flexible hybrid — 3 days per week in the San Francisco office for US-based roles; London team also hybrid. Remote US roles available.
- **Benefits**: Competitive pay and meaningful equity; health, dental, and vision coverage; 401k matching; flexible time off; 25 days PTO (UK); pension plan matching (UK); Cycle to Work Scheme (UK). Annual global offsites (past locations include Lisbon and Nashville).
- **Engineering Culture**: Substance over hype; psychological safety and mutual respect; decisions made quickly; feedback direct; focus on building for high-stakes environments.
- **Growth**: Shape both the product and the category in a foundational moment for AI governance.

## Sources
1. [harmonic.security](https://www.harmonic.security/)
2. [harmonic.security/company/careers](https://www.harmonic.security/company/careers)
3. [harmonic.security/about](https://www.harmonic.security/about)
4. [linkedin.com/company/harmonic-security](https://www.linkedin.com/company/harmonic-security)
5. [builtin.com/company/harmonic-security](https://builtin.com/company/harmonic-security)

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