AI Product Engineer

ControlUp is a leader in Digital Employee Experience (DEX), evolving IT operations with agentic AI to deliver Autonomous Endpoint Management (AEM) and a digital workspace that runs itself. Our platform transforms millions of real-time signals into intelligent action, bridging the gap between deep visibility and automated remediation. We turn "IT headaches" and employee frustration into self-healing operations, allowing organizations to move beyond reactive troubleshooting toward a future where technology works seamlessly in the background. We’re here to ensure the workday runs without disruptions. No tool sprawl, no wasted time, and no friction. Just technology that works for people, not against them, so they can stay focused on what they do best. One platform. One powerful shift in how work flows.

About the Role: We are looking for a builder: an engineer who takes an idea or a rough prototype and turns it into a production-grade product that customers use. You own a feature end to end, from the customer problem to backend, data, UI, release and measurement. You use AI tools (Claude Code, Cursor, Codex) every day, and you build LLM-powered features into the product itself.

What You’ll Own: • Take new compliance capabilities from idea to production in weeks, not quarters.

• Build data pipelines that join vulnerability, patch and device data from several sources (our agent, scanners like Tenable/Qualys/Rapid7, patch catalogs) into one accurate picture.

• Design and ship AI features: explaining risk in plain language, prioritizing what to fix first, generating audit evidence, agents that remediate safely.

• Own quality in production: correctness of findings, monitoring, alerting, and no silent failures.

• Work directly with customers and field teams, and turn their problems into shipped product.

• Measure impact after release and iterate.

What You’ll Bring: • 5+ years in product management, with a track record of building products from 0 to 1 that reached real users.

• A product person who builds: proven ability and experience creating working products yourself with AI tools, across all the technologies a feature needs.

• Experience working directly with customers: talking with them, understanding their needs, and delivering solutions that answer those needs.

• Experience in vulnerability management: scanners, CVE/CVSS/KEV, and how a finding becomes a fix on the endpoint.

• Full-stack ownership: backend (Python, Go, C# or Node.js), data (SQL, large datasets), and enough frontend (React/TypeScript) to ship a complete feature.

• Production experience in the cloud (AWS or Azure), CI/CD, observability.

• Daily use of AI coding tools, and at least one LLM / RAG / agent feature you shipped to production.

• Ownership and speed: you prefer shipping to meetings, and you measure yourself by what reached customers.

• Fluent English (B2+).

You don’t need to know every technology on this list. We care more that you are agile: you pick up whatever a feature needs while you build it, and you ship.

Strong plus:

• Security or compliance domain: vulnerability management, CVE/CVSS/KEV, patch management, CIS benchmarks, SOC 2 / ISO 27001 evidence, GRC tools.

• Endpoint or IT operations: Windows/macOS agents, RMM, MDM/Intune, SCCM.

• Founding engineer or early-startup experience.

• Side projects or open source you built and launched yourself.

Why You’ll Love It Here:

We know every job description says "fast-paced" and "collaborative." Here’s what that actually looks like for us:

• Global, Not Isolated: You’ll work with a diverse team spanning the US, EMEA, and Israel. We’re known for our vibrant social culture, and once a year, the entire global company comes together for a major offsite to reconnect in person.

• Meaningful Impact: Make a real impact from day one, working with cutting-edge technology in a fast-paced, global environment.

• Collaborative & Growth-Driven: Join a collaborative, empowering culture where learning and professional growth are encouraged.

• True Flexibility: We offer a hybrid model. We care about the output of your expertise, not the hours you spend in a specific chair.

Ready to join? Apply now and help us shape the future of IT and employee experience.