Forward Deployed Engineer

Forward Deployed Engineer
Location: New York or San Francisco (with frequent travel to customer sites)

On-site | Full-time

We are not building chatbots or copilots; we are building autonomous digital workers. Our first AI employee, Ava, is already functioning as a full-scale teammate for hundreds of companies—managing lead research, outbound sequences, and meeting bookings autonomously.

As a YC-backed company with over $35M in funding and $8M+ ARR, we are currently scaling our "AI worker" ecosystem. We are looking for a Forward Deployed Engineer to act as the technical bridge between our product and our most strategic customers.

The Role

In this role, you will be part engineer, part consultant, and part trusted advisor. You will sit at the intersection of Sales, Success, and Product to ensure our AI employees integrate seamlessly into complex enterprise environments.

Key Responsibilities:

• Solution Architecture: Scope how our AI employees fit into a customer’s GTM stack, identifying what tools we replace and how we integrate with existing workflows.
• Full-Stack Engineering: Build customer-specific features and integrations across our TypeScript codebase (Node.js/React).
• Implementation Management: Lead end-to-end deployments, partnering with Customer Success Managers to drive deep product adoption.
• Technical Sales Support: Join high-stakes sales calls to provide technical credibility and help close complex deals.
• Strategic Travel: Visit customer offices for in-person discovery, scoping sessions, and onboarding (up to 50% travel).
• Feedback Loop: Channel customer insights directly back to the Product and Engineering teams to influence the roadmap for our next generation of AI workers.

• Experience: 3+ years as a Forward Deployed Engineer, Solutions Engineer, or Full-Stack Engineer.
• Tech Stack: Strong proficiency in TypeScript across the stack (Node.js, React, or similar frameworks).
• GTM Fluency: Comfortable leading technical discussions with RevOps leaders and sales teams.
• Integrations: Ideally, you have experience working with CRMs and sales tech (Salesforce, HubSpot, Outreach, etc.).
• Communication: Ability to translate complex technical systems for non-technical stakeholders while maintaining the ability to dive deep with core engineers.
• Mobility: Willingness to travel frequently (up to 50%) to meet customers on-site.
• Location: Ability to work on-site in either New York City or San Francisco.

• High-Growth Environment: Be part of a YC W24 company at the forefront of the AI labor revolution.
• Direct Impact: Report directly to the CEO in a newly formed function where your work directly affects ARR and product direction.
• Meritocratic Culture: We value clear, direct communication, low ego, and high standards.
• Competitive Compensation: We offer significant equity and salary packages for top-tier talent.
• The Best Tools: Work on a cutting-edge TypeScript stack solving some of the hardest engineering problems in AI today.
  
  

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 human-resources@mlabs.city.

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