Note: The job is a remote job and is open to candidates in USA. OPSWAT is a global leader in IT, OT, and ICS critical infrastructure cybersecurity. The Engineering Manager will build and lead a founding team of engineers and data scientists, focusing on high-throughput services and AI-driven solutions while setting the technical and cultural direction of the team.
Responsibilities
- You'll build and lead the small founding team — engineers and data scientists — behind something genuinely hard: high-throughput services that inspect live traffic at near-zero latency, and applied ML that runs in the critical path
- You own your team's outcomes end to end — what it delivers, how healthy it is in production, and how fast its people grow
- You set technical and cultural direction alongside your lead engineers, make the calls that unblock rather than bottleneck, and own the hiring bar from the first req to the tenth
- When the path is undefined, you're the one who creates clarity and a plan; when it ships, you're accountable for it behaving exactly as intended, not just passing in staging
- You lead from the front — hands-on enough that strong engineers respect your judgment, secure enough to let them fully own their work
- You hire relentlessly and hold a high bar, and you'd rather leave a seat open than fill it with 'good enough.'
- You grow people — you turn strong individual contributors into force multipliers, and you measure yourself by what your team ships without you in the room
- You own the result, not the excuse — you take responsibility for delivery and for what runs in production, and you create clarity where there was ambiguity
Skills
- Proven, demonstrable AI-native leadership — you personally operate at 10x with AI, and you build, hire, and coach a team that does the same, making AI leverage a standard rather than an experiment
- 8-10+ years in engineering, including real time leading teams that shipped and operated production systems people depended on
- Genuine technical depth — you came up through building, and you can still go deep on systems, ML, or both, well enough to guide hard calls and review the work
- A track record of hiring and growing high-performing engineers and data scientists, and of setting a bar a team is proud to clear
- The ability to own delivery of an ambiguous, high-stakes charter end to end without trading away quality or the production bar
Company Overview
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