Loka
Associate Sales Lead
Arlington, VA
Work authorization requiredDetected 35 days ago
AWSMachine LearningData ScienceComputer VisionLLMsSalesAccount ManagementCommunicationPublic SpeakingOrganizational Skills
About the role
- At Loka our teams launch meaningful projects across a wide range of industries.
- In the last year we helped advance the world's #1 AI reading tutor, transform rundown homes into green machines and accelerate novel drug discovery to fight leukemia.
- And we did it all while working 100% remotely and enjoying every other Friday off ๐ We're seeking experienced technical sales reps or candidates with a strong technical background combined with customer-facing experience.
Responsibilities
- Own the full sales cycle post-prospecting, including discovery, client meetings, presentations, proposals, negotiations and ongoing account management, aligning with TSLs for strategic input if needed.
- Build and nurture long-term relationships with key stakeholders at AWS.
- Collaborate closely with our engineering team to define project scopes and ensure the successful delivery of solutions.
- Work closely with sales leads, engineers and project managers to ensure seamless project execution and client satisfaction.
Requirements
- Proven track record in a customer-facing role, preferably within the technology sector
- Ability to understand and communicate technical concepts, especially in the data and infrastructure space
- Ability to travel to meet clients and attend industry events up to 25% of the month
Nice to have
- advanced degree (MS, PhD) a plus
- Bachelor's degree in Engineering, Computer Science, Business or a related field
Benefits
- Short- and long-term disability coverage
- Premium health insurance
- Premium mental health subscriptions
- Continuous Learning Support
- Remote and flexible (must be within one hour of Seattle, New York or Arlington AWS hubs)
Visa & Work Authorization
- Eligible to work in the US without sponsorship
This listing is sourced directly from Loka's careers page and normalized into a canonical job model.