Senior Business Development Manager – Physical AI Data & Solutions (North America)

Senior Business Development Manager – Physical AI Data & Solutions (North America)

Location: Remote within the United States; San Francisco Bay Area preferred. Travel approximately 30–50%.
Compensation: Base salary of $150,000–$250,000 per year, plus performance-based commission tied to closed and collected revenue.

Role Overview
Build and close enterprise opportunities for data and solutions supporting physical AI and advanced AI systems. This is an individual-contributor, quota-carrying role with ownership from prospecting through paid pilot, contract, delivery, collection, and account expansion.

Responsibilities
• Build pipeline through existing professional relationships, targeted outreach, referrals, events, and partners.
• Engage technical champions, executive sponsors, and economic buyers.
• Lead technical and commercial discovery and translate customer needs into clear proposals.
• Convert qualified opportunities into paid pilots with measurable acceptance criteria and expansion paths.
• Own pricing, proposals, negotiation, contracts, forecasting, close, collection, and account growth.
• Carry a personal revenue target and manage qualification, discounting, margin, and payment terms.
• Maintain accurate account, activity, pipeline, and next-step records in the CRM.
• Coordinate technical and delivery teams and share market feedback with product teams.

Qualifications
• 6+ years in enterprise technical sales, business development, strategic accounts, or a comparable commercial role.
• 3+ years selling into robotics, embodied AI, autonomy, AI data, sensors, computer vision, or related infrastructure.
• Existing professional relationships with relevant technical and commercial decision-makers.
• Demonstrated success opening accounts, winning paid pilots, closing contracts, and expanding revenue.
• Strong commercial judgment across qualification, pricing, negotiation, procurement, contracts, margin, and collections.
• Ability to discuss data modalities, sensors, synchronization, calibration, data quality, provenance, privacy, acceptance criteria, and usage rights with technical buyers.
• Ability to work independently in an early-stage environment.

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