Business Development Manager

Reposted Yesterday
7 Locations
In-Office or Remote
Mid level
Artificial Intelligence • Information Technology • Robotics • Software
The Role
The Business Development Manager will lead customer engagement, develop partnerships, manage pilots and commercial deployments, and collaborate with engineering to shape product innovations.
Summary Generated by Built In

Role Overview

You will own the customer side of our go to market motion, from identifying design partners to driving pilots through to commercial deployment. You will work directly with early customers, shape how our robotics systems are deployed in real environments, and convert early engagements into long term partnerships. This role sits at the intersection of product, engineering, and revenue.

Responsibilities

  • Identify, engage, and develop pipeline with early design partners across industries where robotics can create meaningful impact

  • Build deep relationships with early adopters to understand workflows, operational constraints, and real world problems

  • Drive customer engagements from initial outreach through pilot, deployment, and expansion

  • Own pilot to production conversion, including commercial discussions and deal execution

  • Translate customer insights into actionable feedback for product and engineering teams

  • Work closely with engineering to shape product direction based on real world usage

  • Lead early pilot deployments and customer evaluation programs

  • Navigate complex technical sales cycles involving multiple stakeholders

  • Build structured customer feedback loops that inform roadmap and prioritization

  • Support product demonstrations, proof of concept programs, and early customer trials

  • Develop use cases and deployment playbooks for robotics applications

  • Define pricing, packaging, and commercial structures for early deployments

  • Work closely with the Partnerships Lead to align ecosystem strategy with customer demand

  • Represent the voice of the customer internally across product, engineering, and leadership teams

Qualifications

  • Experience in customer-facing roles within robotics, autonomy, AI, or deep technology environments

  • Background in customer development, solutions engineering, product strategy, technical business development, or sales

  • Experience in management consulting or equivalent problem-solving roles, with exposure to operational or industrial systems

  • Experience at an early-stage or high-growth startup, ideally operating in 0→1 or pre-product environments

  • Strong technical fluency, able to engage directly with engineering teams and customers on system behavior, constraints, and deployment tradeoffs

  • Proven ability to own pipeline, drive deals end-to-end, and close complex, technical engagements

  • Track record working across product and engineering to translate real-world customer needs into shipped systems

  • Experience selling into or deploying within operational environments such as manufacturing, logistics, or industrial settings

  • Comfortable leading ambiguous, high-stakes engagements with early adopters and shaping the product in parallel

  • High agency and execution focus, able to operate independently and drive outcomes without defined playbooks

  • Strong communication, negotiation, and relationship-building skills

  • Fluency in Korean

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The Company
32 Employees

What We Do

Genesis is a global physical AI lab and full-stack robotics company. We build generalist robots to unlock unlimited physical labor, so humans can focus on creativity, curiosity, and what we love. We are a new generation of robotics builders, united by a shared mission to push the boundaries of physical AI. Our team brings together the minds behind many of the most significant advances in robotics and AI in recent years — spanning the full stack. We introduced generative simulation, created foundational platforms such as Genesis, Jiminy, Flightmare, GVBD Voxels, and invented the IPC algorithm. We led the development of the first multimodal models at Mistral AI and Apple Intelligence. We co-created UMI and Diffusion Policy, pioneered reinforcement learning frameworks for superhuman drone racing, and scaled robotic data systems at NVIDIA GR00T. We built cross-platform GPU compilers such as VeriGPU, DeepCL, Coriander, and the original PyTorch. We also built industry-leading rendering engines at Google, Epic and Unity. Now, we’ve come together at Genesis AI to close the loop, and build what’s next.

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