Ovii Job Board

Senior Engineering Manager

Deccan ai

Full-Time • 8+ years

Posted 2026-07-06 Tech & Engg

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Job Description

Ovii's Interpretation of the Role

Deccan AI seeks a Senior Engineering Manager to lead a core engineering pod, own product and infrastructure delivery, and stay hands‑on with design and code. The role blends people management, technical leadership, and cross‑functional partnership in a fast‑moving AI startup.

Role Snapshot

  • Lead a cross‑functional engineering pod
  • Own product and infrastructure delivery
  • Hands‑on technical leadership
  • Hire, mentor, and develop engineers
  • Partner with product, ML, and customer teams
  • Define and enforce engineering processes

Must-Have Requirements

  • software engineering
  • people management / engineering leadership
  • full‑stack backend / data pipelines / ML‑AI infrastructure
  • engineering management

Nice-to-Have Signals

  • early‑stage startup experience
  • LLM infrastructure background
  • distributed or hybrid team management
  • early‑stage startup
  • LLM infrastructure

Work Setup

  • Employment type: Full-Time

Not Specified in JD

  • Salary range
  • Visa sponsorship
  • Remote eligibility
  • Location
  • Travel
  • Security clearance
  • Coding test
  • Portfolio

What You'll Likely Work On

  • Define, scope, and ship product and infrastructure features against real customer deadlines
  • Manage hiring, career growth, performance feedback, and culture for a team of engineers
  • Review architecture, design decisions, and intervene in code or incidents when needed
  • Translate ambiguous requirements from product, ML, and customer teams into clear technical plans
  • Build and evolve engineering processes such as planning, code review, on‑call, and quality standards
  • Report progress, risks, and trade‑offs to senior leadership with clarity
  • Represent engineering in customer and cross‑functional discussions

Good Fit If You Have

  • Prior experience at an early‑stage (Series A‑C) startup
  • Background with LLM or evaluation pipeline infrastructure
  • Experience managing distributed or hybrid teams

Skills

  • Leadership & people management
  • Full‑stack backend systems
  • Data pipelines
  • Applied ML/AI infrastructure
  • Software architecture & design
  • Incident response & debugging
  • Technical communication
  • Hiring & talent development
  • Agile planning & delivery
  • Quality & code review