In this leadership role, you will own & manage a multi-disciplinary Engineering group spanning AIgo, full-stack, AIOps, QA, and data – accountable for delivery, people, and business outcomes. You will work closely with a Principal Product Manager who sets direction, and directly manage a Product Owner embedded in your team.
Heres what youll be doing:
Own your Engineering group delivery end-to-end – planning, prioritization, dependencies, risks, and outcomes.
Drive accountability: commitments are kept, blockers surfaced early, quality is non-negotiable.
Directly manage all engineers and the Product Owner in your squad, supported by functional guilds.
Run 1:1s, give meaningful feedback, support growth, and build a high-accountability team culture.
Provide technical guidance in close partnership with Principal Architects and senior engineers.
Stay engaged enough to earn trust, spot risk early, and make informed trade-off calls.
Connect your squads work to UVeyes business outcomes. Always ask why it matters before deciding what to build.
Participate actively in leadership discussions on roadmap, resourcing, and strategy.
7+ years of engineering experience, at least 4 of them in a managerial role, including managing managers.
Proven track record leading multi-disciplinary teams in a fast-moving, product-led environment.
Strong foundations across distributed systems, data pipelines, APIs, and production software.
B.Sc. in Computer Science, Data Engineering, or equivalent.
