About The Position

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. 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.

Requirements

  • 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 Haves

  • Startup experience, ideally as a founding or early engineer.
  • A track record of improving how a team delivers, not just delivering yourself.

Responsibilities

  • 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.
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