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Engineering Manager

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Onsite

Engineering Manager

Spyne

Engineering Manager

Skills

Product ManagementMachine LearningAIJiraFigma

2 years ago

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Important information


Contract type:

Permanent

Location:

Gurugram, Haryana, India

Work mode:

Onsite

Published on:

14 October 2026

What they need


Job highlights

  • Experience with Computer Vision and / or LLM technologies and their practical applications. Strong technical background with ability to collaborate effectively with ML / AI engineering teams.
  • . What you must have
  • . 8+ years of product management experience,with at least 5 years leading product teams. .

About Spyne

Spyne is revolutionizing automotive retail with Generative AI and we re moving at lightning speed. We started with a simple but powerful idea: Use AI to help dealers sell cars online faster. Today, we re building the world s first AI-powered automotive retail ecosystem, transforming how 350K+ dealers market and sell vehicles across the Globe.

  • Backed by $16M from Vertex Ventures, Accel, and top investors, we re scaling like crazy:
  • 5X revenue growth in 15 months now gunning for 3-4X more this year
  • Launched industry-first AI Image 360 solutions
  • Expanding aggressively in the US Europe
  • Next upA full GenAI Automotive Retail Suite

Read more about us:

Studio AI Product - t.ly/t0Ko5

Retail AI Product - t.ly/EyKC9

Series A Announcement:

  • Spyne raises $16 Mil!
  • Spyne raising another round!!
  • Spyne secures funding for US Expansion!

Job Responsibilities

The Role: Engineering Manager

We re looking for a high-agency, growth-minded Engineering Manager to lead our Tech Engineering team through hypergrowth. This isn t just a team leadership role this is a mission-critical opportunity to build and scale cutting-edge AI/Computer Vision platforms that power automotive retail at scale.

You ll lead multiple engineering pods, work closely with our AI research, product, and design teams, and be the torchbearer of performance, velocity, and code quality. If you re obsessed with building fast, scaling elegantly, and managing high-performance teams this is your moment.

What will you do

  • Engineering Execution Leadership

Drive end-to-end product engineering, from concept to production, in high-speed cycles

Own architecture, delivery timelines, code quality, and scalability for AI-driven platforms

Partner with Product Design to translate business goals into fast, functional releases

  • Team Building Talent Development

Lead, mentor, and scale a team of 8-12 backend, frontend, and AI engineers Foster a culture of accountability, autonomy, and excellence Hire smart, raise the bar, and build the next generation of tech leaders

  • Innovation Infrastructure

Stay hands-on with system architecture and design reviews Optimize systems for performance, cost, and reliability at scale Drive innovation in Computer Vision and Generative AI deployments

  • Cross-Functional Collaboration

Work closely with AI research, Product, GTM, and Customer Success teams Ensure strong communication loops between Engineering and business stakeholders Drive rapid experimentation while balancing long-term tech sustainability

What you must have

  • 8+ years of product management experience, with at least 5 years leading product teams
  • Proven track record of successfully launching AI/ML products at scale
  • Experience with Computer Vision and/or LLM technologies and their practical applications
  • Strong technical background with ability to collaborate effectively with ML/AI engineering teams
  • Excellence in strategic thinking, problem-solving, and decision-making
  • Outstanding leadership and communication skills
  • Exceptional communication skills to explain technical AI concepts to non-technical stakeholders.
  • Analytical mindset with the ability to define and measure success metrics.
  • Hands-on experience with product development tools (e.g., Figma, Jira) and basic familiarity with LLM APIs (e.g., OpenAI, Anthropic, Hugging Face).
  • Ability to thrive in a fast-paced, ambiguous environment.

Why SpyneBecause Exceptional Talent Deserves Exceptional Growth

  • Young startup: We are a young start up with an average age of employees as 25-26 yrs, but at the same time helmed by seasoned professionals, building a sound profitable business at the base
  • Hypergrowth Trajectory : 5X revenue surge in 15 months, now scaling 3-4X YoY.
  • Elite Meritocracy: No politics just autonomy, accountability, and rewards for those who deliver.
  • High-impact, high-reward role - competitive salary, performance-based incentives, and equity.
  • Best-in-Class Perks : Machine of your choice, tools of your choice we invest in you like you invest in us.
  • Obsessed with Excellence: For our customers and our team. Your growth is our priority.

This isn t a job it s a career accelerator. At Spyne, high performers don t just succeed they 10X themselves.

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