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Engineering Manager

Engineering Manager (Player-Coach) - AI & Real-Time Data Platform

Location: On site - San Francisco or New York

We are an ambitious, high-growth AI and Media startup, redefining how organizations comprehend, summarize, and act on insights from real-time traditional and social media data (text, audio, and video). We are seeking a hands-on Engineering Manager to build, lead, and scale our engineering team, driving technical excellence and a high-velocity culture as we rapidly expand our enterprise-grade platform.

This is a critical player-coach role where you will blend technical leadership with hands-on contribution. You will set the technical direction for our stack, scale our infrastructure for enterprise customers, and build a high-performing team. Success requires a constant balance between shipping with urgency to meet customer demands and making sound architectural decisions to ensure long-term scalability and reliability.

What You Will Do:

  • Team Leadership: Build and lead the team, recruiting, mentoring, and growing a high-performing group of engineers while fostering a culture of ownership, speed, and rigor.
  • Technical Direction: Set the technical direction by making foundational architecture and infrastructure decisions across our modern web and data stack.
  • Ship with Urgency: Balance short-term customer needs with long-term scalability, ensuring the team prioritizes high-leverage work and avoids analysis paralysis.
  • Stay Hands-On: Roll up your sleeves to debug, prototype, and ship when needed, maintaining your technical edge while coaching and managing.
  • Reliability at Scale: Lead the evolution of our cloud infrastructure, data pipelines, and CI/CD processes to support enterprise-grade customers reliably.
  • Bridge & Solutions: Work closely with Product and Customer Success teams to understand user pain points and quickly translate them into technical solutions.
  • Experience: 5 – 8 years of experience as a full-stack software engineer, with at least 2 years spent managing or leading more junior team members.
  • Core Tech Stack: Strong technical depth and proficiency in our core stack: TypeScript, React, Python, and Node.
  • Infrastructure: Strong experience with cloud infrastructure, data pipelines, and distributed systems (AWS/GCP, SQL/NoSQL).
  • Mindset: Proven ability to act as a player-coach, designing complex systems while actively contributing code.
  • Work Ethic: Bias for action, decisive, and pragmatic in fast-moving environments, focused on shipping with rigor.

Location & Logistics:

  • Location: In-person in our New York City or San Francisco offices (Full-Time position).
  • Visa: Visa sponsorship is not available for this role.
  • Salary & Equity: Highly competitive base salary range of $200,000 – $225,000 per year, plus Competitive Equity (stock options).
  • Healthcare: Full Healthcare Coverage (Medical, Dental, Vision) for peace of mind.
  • Time Off: Unlimited PTO (Paid Time Off).
  • Impact: Foundational leadership role in a high-growth company (10% month-over-month) aimed at being the definitive vertical AI company for communications.
  • Culture: Join a team that prioritizes ownership, speed, and rigor, with a flat, open structure that rewards impact.

Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search.

Commitment to Equality and Accessibility:

At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing [email protected].

MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd’s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting [email protected].

Average salary estimate

$212500 / YEARLY (est.)
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$200000K
$225000K

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DATE POSTED
November 14, 2025
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