Faraday Future
Sr. Manager, Robotics AI Data Sales
El Segundo, California, United States · Senior
Sponsorship not specified$180k-$210kDetected 28 days ago
NegotiationForecastingRoboticsLeadershipCollaborationAdaptability
About the role
- We are seeking a seasoned sales leader for the role of Senior Manager, Robotics AI Data Sales.
Responsibilities
- Strategic Key Account Development: Leverage deep industry resources to cultivate and maintain top-tier strategic partnerships with foundational model companies (e.g., Physical Intelligence, OpenAI, Skild AI, Nvidia).
- Sales Lifecycle Management: Lead the full lifecycle management from prospecting and technical consultation to commercial negotiation and final delivery, ensuring high-revenue targets are met.
- Cross-Functional Collaboration: Partner with technical teams to align technical requirements and roadmap.
- Leverage deep industry resources to cultivate and maintain top-tier strategic partnerships with foundational model companies (e.g., Physical Intelligence, OpenAI, Skild AI, Nvidia).
- Partner with technical teams to align technical requirements and roadmap.
- You will be responsible for defining and executing global sales strategies to deliver our high-quality embodied AI training datasets to world-leading AI labs, tech giants, and robotics startups.
Requirements
- Bachelor's degree in business, marketing, or related discipline.
- 10+ years of experience in tech sales, with at least 5 years focused on AI data, robotics, or high-end software solutions.
- This role requires exceptional industry foresight, a deep network of key accounts, and the ability to navigate complex geopolitical compliance environments.
Nice to have
- Demonstrated a consistent record of successfully executing multi-million-dollar contracts within the North American market..
- Knowledge of AI data or robotics technologies.
- Casual dress code + relaxed work environment
Compensation
- ($180,000- $210,000 DOE), plus benefits and incentive plans
- 401(k) options
- Casual dress code + relaxed work environment
Benefits
- Perks + Benefits
- Healthcare + dental + vision benefits (Free for you/discounted for family)
Company info
- Faraday Future is a California-based technology company focused on the design, engineering, and development of intelligent, connected electric vehicles and related artificial intelligence-enabled technologies.
- Founded in 2014, the Company's mission is to disrupt the automotive and technology industries by creating user-centric, technology-first experiences.
- The Company aims to leverage the latest technologies and world's best talent to realize exciting new possibilities across all of these lines.
- FF is committed to redefining mobility through AI innovation.
- Join us in shaping the future of intelligent transportation and technology by creating something new, something connected, and something with a true global impact.
- The Company, together with its controlled subsidiaries, operates across multiple technology-driven areas, including AI electric vehicles, robotics, and its crypto business (AIXC), all under its upgraded Global EAI Industry Bridge Strategy, marking the beginning of a new chapter in AI mobility and Web3 integration.
- Faraday Future's automotive business exemplifies its vision for luxury, innovation, and performance, while its FX strategy aims to introduce mass production models equipped with state-of-the-art luxury technology derived from the FF brand, targeted towards a broader market with middle-to-low price range offerings.
- Identify and prioritize new markets and customers for FF AI Data Factory.
- Comfortable in a fast-paced, evolving company with ambitious goals.
- Market Expansion: Identify and prioritize new markets and customers for FF AI Data Factory.
Equal opportunity
- equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
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This listing is sourced directly from Faraday Future's careers page and normalized into a canonical job model.