About Sesame
Sesame believes in a future where computers are lifelike - with the ability to see, hear, and collaborate with us in ways that feel natural and human. With this vision, we're designing a new kind of computer, focused on making voice agents part of our daily lives. Our team brings together founders from Oculus and Ubiquity6, alongside proven leaders from Meta, Google, and Apple, with deep expertise spanning hardware and software. Join us in shaping a future where computers truly come alive.
About the Role
We are seeking a Senior Technical Program Manager to lead Sesame’s data collection and annotation initiatives. In this role, you will gather data requirements from research and product teams, prioritize projects, identify and manage internal or external resources, and ensure the delivery of high-quality data.
Responsibilities:
Lead audio data collection and annotation efforts at Sesame.
Collaborate with research and product teams to understand and formalize their requirements.
Identify and manage internal resources and/or external vendors to complete data tasks.
Ensure the delivery of high-quality work.
Work closely with tooling engineers to support data-related tasks.
Oversee data acquisition processes.
Required Qualifications:
Bachelor’s degree in Computer Science or a related field.
5+ years of experience working with machine learning researchers and engineers.
Proven experience leading data labeling projects.
Experience managing full-time employees or contractors involved in data labeling.
Expertise in writing technical specifications for data annotation pipelines.
Preferred Qualifications:
Understanding of ML data pipelines and their applications.
Experience working with LLMs.
Familiarity with data labeling for audio technologies, such as speech recognition and speech synthesis.
Sesame is committed to a workplace where everyone feels valued, respected, and empowered. We welcome all qualified applicants, embracing diversity in race, gender, identity, orientation, ability, and more. We provide reasonable accommodations for applicants with disabilities. Contact [email protected] for assistance.
Full-time Employee Benefits:
401 (k) max employer match: 3.5% of compensation
100% employer-paid health, vision, and dental benefits for you and your dependents
Unlimited PTO and sick time
Flexible spending account with employer matching up to $1,650/year (medical FSA)
Guardian Employee Assistance Program (EAP)
Opportunity to share in the company's success with competitive stock options
Benefits do not apply to contingent/contract workers.
Skills Required
- Bachelor's degree in Computer Science or a related field
- 5+ years of experience working with machine learning researchers and engineers
- Proven experience leading data labeling projects
- Experience managing full-time employees or contractors involved in data labeling
- Expertise in writing technical specifications for data annotation pipelines
What We Do
Bringing the computer to life
