DescriptionEngineering 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.
Requirements- 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.
Benefits- Salary & Equity: Highly competitive base salary range of $200000 $225000 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 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
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 Ltds 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
Required Experience:
Manager
DescriptionEngineering Manager (Player-Coach) - AI & Real-Time Data PlatformLocation: On site - San Francisco or New YorkWe 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 a...
DescriptionEngineering 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.
Requirements- 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.
Benefits- Salary & Equity: Highly competitive base salary range of $200000 $225000 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 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
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 Ltds 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
Required Experience:
Manager
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