As an Account Executive, you'll sell and deploy robotics solutions, manage sales cycles, and collaborate with teams to enhance customer experience.
About you and this role:
Robust AI is an early-stage startup founded by an unsurpassed team of veterans in robotics, AI, and Supply Chain who are dedicated to making the promise of Embodied AI a reality. We are a collaborative group with a diverse set of perspectives, seeking talented individuals who are passionate about making robots that are valuable to customers and delightful to use. Help us redefine the very foundation of robotics and build robots that are smart, safe, and flexible: fully autonomous and truly collaborative.
As an Account Executive at Robust.AI, you will join a small fast-paced team working to sell, deploy, support, and expand the next generation of warehouse robotic systems. This is a high-visibility role that will provide an opportunity to work with all commercial and technical groups within the Robust.AI organization. You will possess a unique combination of well-developed customer-facing skills, problem-solving abilities, leadership, and relationship management through effective communication. You are also comfortable working in an early-stage startup environment can collaborate with a team and can pivot effectively. You will have a strong network and deep experience selling in fulfillment warehouses.
Main responsibilities:
- Work with Robust.AI Sales Leadership to help size and position robotic solutions to both new and existing customers
- Develop, maintain, and grow a strong pipeline of qualified opportunities in our target market
- Drive and manage the entire sales cycle, from initial engagement to closed sales
- Collaborate internally with solutions, marketing, product, and customer success teams to provide feedback from the field and ensure an ideal customer experience
- Network and develop relationships with partners in our space to help expand our market presence
- Travel to and spend time onsite with prospects to qualify and assess their current operations and fit of our solution
- Lead and drive the expansion of systems at early-stage customer sites
- Prepare status reports by gathering, analyzing, and summarizing relevant information
- Scale-up systems to meet the growing needs of the customer
- Conduct post-project evaluation and identify successful and unsuccessful project elements
- Effectively communicate with customers daily to ensure smooth transitions to deployment and continued scaling opportunities
- Communicate and troubleshoot with the Robust engineering team
What you’ll bring to the table:
- BS in Business Administration, Operations, Engineering, or related field and at least 5 years of related work experience
- Strong knowledge and understanding of distribution and fulfillment operations
- A proven track record of achieving and exceeding sales targets and objectives
- Ability to communicate technical/complex information both verbally and in writing
- Self-motivated and able to solve problems independently and in customer settings
- Strong communication skills to collaborate effectively with internal and external teams
- Knowledge of and interest in diverse technical topics, including software, hardware, and robotics
- Experience managing and navigating complex sales cycles
- Perform multiple tasks concurrently and respond to pressure situations effectively
- Strong leadership and relationship-building skills
- 50% Travel required
What we offer:
- Competitive OTE, depending on your skills, qualifications and experience
- Stock options and huge growth potential
- Strong startup (and fun) culture
- Medical, Dental, and Vision coverage
- Flexible vacation and sick leave practices
- Paid parental leave
Robust AI fosters a culture of belonging and a shared commitment to equality and equity.
Having a diverse set of perspectives is key to ensuring AI and robotics serve the needs of all.
Top Skills
AI
Hardware
Robotics
Software
Robust.AI San Carlos, California, USA Office
1050 Commercial St,, San Carlos, CA, United States, 94070
Similar Jobs
Cloud • Information Technology • Security • Software • Cybersecurity
The Senior Majors Account Executive will lead critical enterprise sales, manage C-suite relationships, and drive strategic revenue growth in technology solutions.
Top Skills:
Google SuiteMeddpiccMsft SuiteSalesforceTableau
Cloud • Security • Software • Cybersecurity • Automation
The Strategic Account Executive will drive enterprise growth by guiding influential organizations in adopting GitLab's AI-powered DevSecOps platform, building partnerships, and managing sales cycles from discovery to implementation.
Top Skills:
AIDevsecopsSaaSSalesforce
Other • Social Impact • Analytics • Consulting • Big Data Analytics • Renewable Energy
The Account Executive is responsible for driving growth through outbound prospecting, managing the sales cycle, building client relationships, and maintaining CRM records.
Top Skills:
CRM
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine



