[{"@context":"https://schema.org","@type":"JobPosting","title":"Research Product Manager (RPM)","description":"

ABOUT ABUNDANT

As the need for scaling data becomes the core bottleneck to progress, moving from general knowledge to domain expertise, and from chatbots to agents. Abundant is solving this by designing and operating simulation infrastructure where next-generation models learn to reason and solve complex problems.

Our team is composed of high-impact former founders, ML engineers, roboticists, and data leads from companies like Waymo and Google, with experience deploying models at 1B user scale. We partner with a majority of the top AI labs, frontier startups, and F500 enterprises to enable AGI, ASI, and physical intelligence.

THE ROLE

Research PM (RPM) is a role unique to Abundant. RPMs are PMs of the model, unlike traditional PMs who own an application or a feature. RPMs design and implement model capabilities, either as part of an AI lab, data lab, or other research organization. This is a founding-level role with outsized ownership.

WHAT YOU’LL DO

Co-design capabilities of the model: define areas of improvement for the model, along with the Researcher.
Perform literature review: headroom analysis, identifying recent work in academic and industry circles.
Run experiments and benchmarks: using our internal simulation stack and our open source tooling such as Oddish to define and hillclimb on the vertical.
Become the voice of the model user: Talk to individual users and/or enterprises, in order to deeply understand where mod","datePosted":"2026-07-07","employmentType":"FULL_TIME","hiringOrganization":{"@type":"Organization","name":"Abundant","sameAs":"https://abundant.com"},"url":"https://jobs.ashbyhq.com/abundant/d497409d-f30a-4a34-88cd-ddbaf8d7a6eb","jobLocationType":"TELECOMMUTE","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":150000,"maxValue":210000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","title":"Member of Technical Staff, Research ","description":"
ABOUT ABUNDANT
AI models rely on two fundamental ingredients: compute and data. Abundant is building the NVIDIA of training data. NVIDIA, the leader in compute, has a peak market cap of $5T and generated $130B in revenue last year as the need for scaling compute has exploded. We believe the need to scale data is just beginning, as we move beyond SFT and human supervision to RL and Learning from Experience.

Our founding team consists of former founders, ML engineers, roboticists and data leads from Waymo, Google, Mercor and AWS. Our team has previously worked with DeepMind to deploy deep learning models at 1B user scale, trained SOTA models for self-driving at Waymo, and scaled data pipelines of tens of thousands of human annotators at YouTube. Our pioneering work in human computation, synthetic data, simulation and RL give us the advantage in delivering results to our customers.

Why now? Training data is more important and more scarce than ever before. Scaling laws dictate that linear improvement in model performance demands an exponential increase in training data. But there is only one World Wide Web and most of it has already been trained on. The next advances will require major advances in simulation, synthetic data and learning from experience.

What happens if we succeed? Abundant will be the core enabler for not only AGI, but ASI and physical intelligence. Most of the challenges in model algorithms and compute are already solved. What’s missing? The data necessary to move from general knowledge to domain expertise; from chatbots to agents; and from text to multimodal and physical AI. Ask any AI researcher or robot","datePosted":"2026-07-07","employmentType":"FULL_TIME","hiringOrganization":{"@type":"Organization","name":"Abundant","sameAs":"https://abundant.com"},"url":"https://jobs.ashbyhq.com/abundant/bd12575c-2eaf-4e34-aa8a-df632bacc51b","jobLocationType":"TELECOMMUTE","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":200000,"maxValue":500000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","title":"Member of Technical Staff, Platform Engineering","description":"
ABOUT ABUNDANT
As the need for scaling data becomes the core bottleneck to progress, moving from general knowledge to domain expertise, and from chatbots to agents. Abundant is solving this by designing and operating simulation infrastructure where next-generation models learn to reason and solve complex problems.
Our team is composed of high-impact former founders, ML engineers, roboticists, and data leads from companies like Waymo and Google, with experience deploying models at 1B user scale. We partner with a majority of the top AI labs, frontier startups, and F500 enterprises to enable AGI, ASI, and physical intelligence.
THE ROLE
As a Member of Technical Staff, you will work directly with the Head of Engineering to build, scale, and deploy projects. You'll be expected to transition seamlessly between customer-facing products and our internal infrastructure.
WHAT YOU’LL DO
In your first 30 days, you will take over key parts of the core simulation engine, adding new features or improving performance, driving key metrics such as throughput and cost. You'll be responsible for making sure our software can scale to 10B+ events and tens of thousands of monthly users (both human and virtual). You'll be responsible for establishing our engineering culture as we continue to scale our technical team.

WHO YOU ARE
- Technically fluent: Deep understanding of evaluations, RL, and how LLMs and Agents work.
- Research-oriented — Able to read papers and keep up with SOTA lit","datePosted":"2026-07-07","employmentType":"FULL_TIME","hiringOrganization":{"@type":"Organization","name":"Abundant","sameAs":"https://abundant.com"},"url":"https://jobs.ashbyhq.com/abundant/5304659b-c31f-409a-84a1-0c6fca69f18a","jobLocationType":"TELECOMMUTE","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}}}]

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