3+ years of experience in technical program management or related fields, particularly in AI/ML or data operations.
Proven ability to manage complex, ambiguous technical requirements effectively.
Strong quantitative and qualitative analytical skills for dataset assessment.
Experience in improving data quality processes and managing vendor relationships.
Familiarity with reinforcement learning and human-in-the-loop data pipelines is a plus.
Excellent communication skills and ability to work independently in fast-paced settings.
Responsibilities
Lead data and evaluation programs from inception to delivery and retrospectives.
Translate ambiguous technical requests into clear specifications with defined milestones.
Enhance data quality processes through quantitative and qualitative analysis.
Oversee external vendors throughout the delivery lifecycle to ensure quality.
Streamline workflows, documentation, and automation for data production.
Collaborate with research and platform teams to implement product improvements based on findings.
Benefits
Visa sponsorship and relocation support for qualified candidates.
Full Job Description
About the Role
Own complex, time-sensitive data and evaluation programs for AI research teams and internal partners. This role works across technical program management, data operations, and vendor coordination to turn ambiguous requests into reliable programs that improve LLM and agent evaluation. What You'll Do
Lead data and evaluation programs from scoping and requirements gathering through production, quality assurance, delivery, and retrospectives.
Turn ambiguous technical requests into clear specifications with milestones, owners, dependencies, and acceptance criteria.
Improve data quality processes using quantitative measures and qualitative review, including analysis of task coverage, difficulty, and reward distributions.
Manage external vendors through the delivery lifecycle and strengthen scalable delivery pipelines.
Improve workflows, documentation, automation, and cross-functional handoffs for data production and evaluation.
Partner with research, platform, and marketplace teams to turn findings into product improvements.
What We're Looking For
At least 3 years of experience owning complex technical programs in AI/ML, data operations, support engineering, applied research, forward-deployed engineering, or a related cross-functional field.
Experience as a Technical Program Manager or strategic program lead at a startup, with a record of bringing structure to changing or ambiguous requirements.
Strong quantitative and qualitative judgment, including the ability to assess aggregate dataset metrics and inspect individual examples.
Experience improving data quality procedures, managing external vendors, and supporting technical customers or research teams with urgent, evolving needs.
Background in RLHF, reinforcement-learning environments, agent evaluations, human-in-the-loop data pipelines, annotation workflows, or expert data collection is valuable.
Strong communication skills and comfort working independently in a fast-paced environment.
Compensation & Benefits
Base salary is $130,000 to $225,000 annually. Visa sponsorship and relocation support are available for qualified full-time candidates. Location
On-site in San Francisco, California. Candidates based remotely may be considered if they can maintain 70% to 80% time zone overlap with San Francisco or Singapore.
