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
Skills Required
- 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 in 0->1 or pre-product environments
- Strong technical fluency to engage with engineering and customers on system behavior 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 customer needs into shipped systems
- Experience selling into or deploying within operational environments such as manufacturing, logistics, or industrial settings
- Comfort leading ambiguous, high-stakes engagements and shaping product direction in parallel
- Strong communication, negotiation, and relationship-building skills
What We Do
Genesis AI is a global full-stack robotics company developing general-purpose robots with human-level intelligence and capabilities. It aims to build foundational AI models that automate repetitive tasks across applications such as lab work and housekeeping. The company uses a proprietary physics engine to generate synthetic physical-world data, helping train robotics models for diverse real-world environments, and operates across Paris and Silicon Valley.
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