Forward Deployed Software Engineer

Posted 2 Hours Ago
New York, NY, USA
In-Office
155K-190K Annually
Entry level
Artificial Intelligence • Computer Vision • Machine Learning • Robotics
The Role
Own end-to-end technical delivery for sophisticated robotics and AI customers. Serve as their primary engineering contact, understand data and workflow needs, build and ship solutions, maintain strong support standards, improve tooling and processes, and translate customer feedback into durable product and delivery improvements. Collaborate across engineering, data, and operations teams with high autonomy and a broad generalist mindset.
Summary Generated by Built In
About Mecka AI

Mecka AI is building the data infrastructure layer for robotics and embodied AI.
We design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.


We work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.

The Role

We're hiring a Forward Deployed Software Engineer to sit at the frontier with our most important customers — technical enough to be trusted directly with a sophisticated customer's engineering team, and the generalist who figures out what they need and owns how we deliver it. This is a mid-to-staff, high-autonomy role: less classic Sales Engineer, more Palantir-style Forward Deployed Engineer, judged on ownership and delivery quality rather than a narrow job description.

What You'll Do
  • Be the technical point of contact for a set of customers, credible enough to sit across from their engineering team and be trusted immediately.

  • Understand what each customer is trying to accomplish, determine what data or delivery they need, and own how we build and ship it.

  • Hold a strong customer support and SLA bar — respond fast, communicate clearly, close the loop on every delivery.

  • Own the full delivery process end to end, not just your own piece of it, and find what's slow, fragile, or manual.

  • Turn what you learn on one customer into durable improvements — tooling, process, standards — that make the next delivery faster and more reliable.

  • Work directly with engineering, data, and operations teams to unblock delivery and escalate what needs to change upstream.

  • Bring outside-in judgment back to the product and delivery systems — you're often the first to see where they break under real customer conditions.

What You Bring

Must-have:

  • Technical depth sufficient to earn credibility directly with a sophisticated customer's engineering team — not a demo-only or slide-based technical presence.

  • Direct, hands-on experience owning a customer or partner relationship end-to-end, not just supporting one from behind a ticket queue.

  • High agency and a strong generalist bent — comfortable moving across data, delivery process, and whatever else the problem needs, taking on problems beyond your defined scope without waiting to be asked.

Nice-to-have:

  • Startup experience, ideally as a founding or early engineer.

  • A track record of improving how a team delivers, not just delivering yourself.

A Note on Applying

Studies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.
Inclusive Hiring at Mecka

We are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.

Use of Artificial Intelligence in Recruitment

Mecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.

Skills Required

  • Technical depth sufficient to earn credibility with sophisticated customer engineering teams
  • Hands-on experience owning a customer or partner relationship end-to-end
  • High agency and a strong generalist mindset across data, delivery processes, and related problems
  • Startup experience, ideally as a founding or early engineer
  • Track record of improving how a team delivers
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The Company
58 Employees
Year Founded: 2024

What We Do

Mecka AI is a data and infrastructure company that provides high-quality human movement data to accelerate the development of autonomous systems for humanoid robotics. It serves as the data and deployment layer for physical AI, capturing, structuring, and evaluating real-world activity to create labeled datasets that enable robots to learn and deploy reliably in commercial settings.

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