2 часа назад
Director of Sales Engineering (Autonomy & Physical AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Director of Sales Engineering (Autonomy & Physical AI): Leading technical enterprise sales cycles for sensor simulation and reconstruction software used to validate autonomous vehicles, robotics, drones, and other physical AI systems with an accent on technical discovery, architecture reviews, demonstrations, and proof-of-concept evaluations. Focus on designing measurable customer evaluations, integrating with autonomy stacks and data pipelines, and building repeatable sales engineering processes for a growing commercial organization.
Location: Remote. Regular travel within the United States is required.
Company
builds sensor simulation and reconstruction software for autonomous vehicles, robotics, drones, eVTOL systems, and other physical AI applications.
What you will do
- Own the technical sales cycle for strategic enterprise and automotive OEM opportunities.
- Lead technical discovery, architecture discussions, product demonstrations, proofs of concept, and evaluation engagements.
- Translate customer workflows and technical requirements into solution designs connected to measurable commercial outcomes.
- Advise customers on integrations with autonomy stacks, APIs, development environments, data pipelines, and CI/CD workflows.
- Partner with Product and Engineering on requirements, product gaps, competitive positioning, and customer feedback.
- Build repeatable sales engineering processes, demo assets, qualification standards, POC templates, evaluation scorecards, and technical content.
Requirements
- 8+ years of experience in technical software, infrastructure, machine learning, simulation, autonomy, robotics, developer tools, or a related field.
- 5+ years in sales engineering, solutions architecture, customer engineering, technical consulting, or another customer-facing technical role.
- Experience with complex enterprise sales cycles involving technical evaluations, proofs of concept, architecture reviews, and multiple stakeholders.
- Experience with autonomous systems, automotive or ADAS development, robotics, simulation, synthetic data, computer vision, machine learning infrastructure, sensor data, developer platforms, or data infrastructure.
- Working knowledge of machine learning development and validation workflows, APIs, cloud infrastructure, data pipelines, model evaluation, and software integration patterns.
- Ability to operate with high ownership in an early-stage environment and travel regularly within the United States.
Nice to have
- Prior experience as a software engineer, ML engineer, simulation engineer, solutions architect, or technical product leader.
- Experience selling to automotive OEMs, Tier 1 suppliers, autonomy companies, robotics businesses, drone companies, or other physical AI organizations.
- Familiarity with camera, lidar, radar, perception development, scenario generation, closed-loop testing, or software-in-the-loop simulation.
- Experience with Python, APIs, notebooks, cloud environments, technical prototyping, and production deployments of developer-facing, infrastructure, or data products.
- Experience building an early sales engineering, solutions, or customer engineering function and closing six- or seven-figure enterprise contracts.
Culture & Benefits
- Remote work environment with regular customer and industry travel.
- Hands-on leadership role with individual-contributor responsibilities.
- High ownership and ambiguity typical of an early-stage commercial organization.
- Opportunity to establish the sales engineering function and its future operating model.
- Collaboration across Sales, Product, Engineering, and technical customer stakeholders.
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