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Lead and mentor a pod of engineers while driving the technical direction and roadmap for the platform. Ensure predictable delivery, operational excellence, and high-quality system design across the team.
This is a remote position.
About OrbitShift
At OrbitShift, we are building the world's first AI-native Sales Operating System, trusted by enterprise teams to accelerate their GTM motion. Our multi-agent AI system enables actionable account insights, RFP response generation, targeted nudges, and sales content. Backed by Peak XV (formerly Sequoia Capital), Stellaris Venture Partners, and other marquee investors, we are a fast-growing, 3-year-old startup with a team from Amazon, McKinsey, IIT, and Stanford.
We are looking for an Engineering Manager to lead one of our engineering pods — owning the health and growth of the team, the technical direction of the domain, and the reliable delivery of the platform and services that enterprise customers depend on.
Role Overview
As an Engineering Manager, you will lead a pod of engineers (SDE 1 through SDE 3, plus QA) building and operating the services behind the OrbitShift platform. You will sit at the intersection of people leadership, delivery, and technical direction: coaching engineers and growing their careers, owning a clear roadmap and predictable execution, and setting the engineering bar for how we design, build, and run systems at scale.
This is a hands-on-enough management role. You are not expected to be the strongest coder on the team, but you are expected to have real standing in architecture and design discussions, understand the codebase well enough to lead by example — participating in design and code reviews, and occasionally in implementation — and keep short-term delivery pressure from eroding the long-term health of the platform.
What You'll Do
Lead and grow the team
Own the charter and roadmap
Own delivery and operational excellence
Set technical direction
Partner across the org
Technologies & Environment
You'll lead a team working across a modern backend and data stack. We care more about depth in fundamentals than familiarity with any specific tool — but to give you a sense of the environment, roughly in order of how central each is to the role:
What We're Looking For
Education
B.Tech / M.Tech in Computer Science or a related field, preferably from a reputed institute (IIT, BITS, NIT, or equivalent).
Experience
Nice to Have
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