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Full-time
Posted 61d ago
~40 hrs/week
Responsibilities
The Data Program Manager acts as the link between research and data operations, translating complex ML research needs into actionable data acquisition plans. They are responsible for managing external vendors, enforcing data quality standards, and tracking throughput metrics to support model development.
Requirements
Requires 5+ years of technical program or product management experience, with at least two years in an AI, ML, or data-intensive environment. Candidates must be able to interpret ML research papers and possess working knowledge of SQL for data analysis.
Full job description
Who we are
Odyssey is an AI lab pioneering general world models: causal, multimodal systems that learn to predict and interact with the world over long horizons. This foundational technology promises to revolutionize robotics, science, healthcare, education, gaming, defense, and beyond.
Odyssey’s founders previously pioneered the most complex application of physical AI: self-driving cars. They’ve now brought together a world-class research team from DeepMind, Tesla, Waymo, Meta, Apple, and Wayve, who have made significant contributions to language models (DeepMind Gemini), video models (DeepMind Veo), world models (Wayve GAIA), and autonomous systems (Tesla FSD).
Odyssey has raised significant venture capital from GV, Amazon, AMD, EQT, NVIDIA, Natural Capital, In-Q-Tel, Elad Gil, Jeff Dean, Guillermo Rauch, Garry Tan, Kyle Vogt, and researchers from OpenAI, DeepMind, MSL, Recursive, and Thinking Machines.
What we're looking for
The Data Program Manager is the connective tissue between research, vendors and the data flywheel. You are responsible for understanding our data needs by being deep in the frontier research space for multi-model methodologies and arxiv papers. You are responsible for presenting a credible data roadmap to the research, applied ML, and leadership and keeping stakeholders abreast of the pipeline and plans. You also own inbound requirements and turn those into a backlog the data-ops team can execute against.
The right person thinks in processes, has strong opinions, and can hold both people (internal and external) and plans accountable.
What you'll do
Run data plans with loose requirements from Research. Turn fuzzy, disparate data requests into scoped, sequenced acquisition plans with quality bars, timelines, and clear data parameters.
Manage a multitude of vendors across verticals and data types, maintaining relationships and negotiating commercial terms favorable to Odyssey.
Manage the human teams (experience with contractors a big plus) that acquire proprietary data and establish and enforce quality measures.
Stand up and own the weekly data-needs review and forecast. Force-prioritize when necessary and surface the trade-offs to leadership.
Embed in research planning. Flag data risks four to six weeks ahead of when they would hit a model run.
Define and track quality and throughput metrics across active data programs. Redline and QA batches that slip, and close the loop with vendors.
Partner with Research on data requirements while also running independently on frontier data mix delivery.
Drive program retrospectives, what data moved which evals, at what cost, and what we should repeat.
Who you are
5+ years of program or product management at a technical company, with at least two of those years in an AI, ML, or data-intensive context.
You can read ML papers without flinching; you don't need to derive the maths, but you understand what the research aims to prove and what data would support it.
Working knowledge of SQL and basic data analysis. You can pull your own numbers when needed.
Real experience negotiating with external vendors and driving down costs.
You can run a tight stand-up, keep clean docs, and finish things.
Comfortable saying "no" to a researcher; better at saying "yes, by week six, here's the plan."
Track record of driving cross-functional programs at speed in environments where priorities change weekly.
Bonus
Experience as a TPM or program manager at a frontier AI lab.
Background in data labelling, human data collection, or RLHF programmes at scale.
Familiarity with AI evaluation methodology or rubric design.
Prior experience as the first X hire at an early-stage company.
Related keywords
AIMachine LearningWorld ModelsData FlywheelRLHFData LabelingSQLMulti-modal MethodologiesData-opsFrontier AIVendor NegotiationAI EvaluationTechnical Program ManagementData AcquisitionCausal Systems
On a mission to empower families by helping states administer education savings accounts and microgrant programs.
Industry
Technology, Information and Internet
Company size
51-200 employees
Founded
2021
Headquarters
New York, New York
LinkedIn followers
6,024
Total funding
$15M
Odyssey is a mission driven company that helps families easily access state funding so that they can attend the school of their choice. We do this by partnering with state agencies to administer school choice programs, such as education savings accounts (ESAs), that enable parents to pay for approved educational expenses like school tuition, tutors, technology, software, and curriculum.
At Odyssey, our technology powers ESA programs that enroll more than 80,000 students and help them access more than $600 million in state funding. In the 2026-2027 school year, Odyssey will enable 235,000 students to receive more than $2 billion in school choice funding.
Sitting at the intersection of tech, government, and education, Odyssey offers potential employees an immediate and substantive impact for students and families. Supported by well known investors and advisors (Katherine Boyle/A16Z/Tusk Venture Partners) Odyssey is gaining traction quickly with ample opportunity for growth. As our team expands, we are looking for top-tier talent to join our mission in driving the future of education forward.
Want to join us? Get in touch at [email protected].
How many Management & Leadership jobs are open in Palo Alto, CA right now?
There are currently 885 open management & leadership positions in Palo Alto, CA listed on Clera. New openings are added daily as companies post roles.
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