Technical Program Manager, Quality

Sesame

$120K — $160K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • BS or MS in Computer Science, Electrical Engineering, or a related technical discipline.
  • 3+ years of experience managing LLM research or AI/ML product cycles.
  • Strong technical understanding of LLMs including training, prompting, inference, and quality.
  • Proficiency in Python for writing evaluation logic and data-handling scripts.
  • Ability to coordinate and align with stakeholders across various functions.

Responsibilities

  • Manage the end-to-end lifecycle of LLM projects from research to product deployment.
  • Transform subjective user feedback into objective metrics and datasets.
  • Design and implement technical evaluations to address field issues, integrating with existing codebases.
  • Track internal and external feedback to ensure issues are resolved in future iterations.
  • Maintain the technical roadmap for voice capabilities, managing dependencies and resolving blockers across teams.
  • Ensure alignment across all teams for a cohesive user experience.

Benefits

  • 401k matching
  • 100% employer-paid health, vision, and dental benefits
  • Unlimited PTO and sick time
  • Flexible spending account matching (medical FSA)
Full Job Description
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 companions 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

At Sesame, we are building the next generation of voice-based personal agents. We are seeking a Technical Program Manager to bridge the gap between LLM research and a polished, user-ready product. In this role, you will drive the development lifecycle, ensuring novel capabilities are delivered on schedule and rigorously measured against real-world performance. You will also be responsible for the "quality loop": transforming qualitative user feedback into technical evaluation datasets and ensuring our models evolve based on measurable data.

Responsibilities:
  • Project Orchestration: Manage the end-to-end lifecycle of LLM projects, navigating the transition from research milestones to production-level deployments.
  • Metric Definition & Design: Transform subjective user feedback into objective metrics and datasets.
  • Eval Implementation: Design and implement technical evaluations to address issues found in the field. You will be expected to dive into the codebase to help integrate these evals into existing pipelines.
  • Feedback Loop Management: Track internal and external feedback, ensuring identified issues are followed through to resolution in subsequent iterations.
  • Release Management: Maintain the technical roadmap for voice-based capabilities, proactively identifying dependencies and resolving technical blockers across teams.
  • Cross-Functional Alignment: You will ensure the roadmap incorporates the specialized work and constraints of all teams-not just ML-to deliver a cohesive user experience.


Required Qualifications:
  • Academic Background: BS or MS in Computer Science, Electrical Engineering, or a related technical discipline.
  • TPM Experience: 3+ years of experience managing LLM research or AI/ML product cycles.
  • LLM Foundations: A solid technical understanding of LLMs (training, prompting, inference, quality) and the unique constraints of voice-based interfaces.
  • Programming Skills: Proficiency in Python with the ability to independently write and implement evaluation logic and data-handling scripts.
  • Communication: Proven ability to coordinate and align with stakeholders across different functions, managing complex dependencies with great technical depth.


Preferred qualifications:
  • AI Voice Experience: Prior experience with LLM-based voice products and modern generative speech technologies.
  • Automated Testing: Experience integrating model evaluation workflows into automated testing and deployment pipelines.
  • System Logic: Familiarity with the architectural challenges of deploying low-latency, conversational AI agents.


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:
  • 401k matching
  • 100% employer-paid health, vision, and dental benefits
  • Unlimited PTO and sick time
  • Flexible spending account matching (medical FSA)

Benefits do not apply to contingent/contract workers.

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