Abundant

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 Chief of Staff, you work directly with our CEO to define Abundant's next chapter. Oftentimes, this will involve a domain that you have no prior experience in. That prospect should excite you rather than instill fear. You'll be empowered to do whatever needs to be done to solve the problem, answer the question, or land the customer. WHAT YOU'LL DO In this role, you may be asked to: research a new market that Abundant is considering entering leading our outreach to venture capitalists find an office to house our growing team WHO YOU ARE Extreme owner — You have extreme agency and a founder mentality; you are resourceful and scrappy. Gritty — you recognize that highly-ambitious startups like Abundant aren't easy or glamorous. You embrace every challenge set before you with grace and attack them with the utmost tenacity. Creative problem solver — You leverage creativity and research skills to design projects from the ground up. Must be highly proficient with coding agents such as Codex or Claude Code.

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 literature. Extreme owner — You have extreme agency and a founder mentality; you are resourceful and scrappy. Creative problem solver — You leverage creativity and research skills to design projects from the ground up. Must be highly proficient with coding agents such as Codex or Claude Code.

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 Own end-to-end execution of Abundant’s most critical projects and owning the relationships internally/externally. Translate ambiguous research requirements into structured workflows, manage distributed expert teams, and deliver flawless results under tight timelines. This is a founding-level operations role with outsized ownership. WHAT YOU’LL DO Own project delivery end-to-end — scoping, design, contributor ops, QA, and handoff to AI lab partners Build and manage relationships with researchers at frontier labs Recruit, scale, and run distributed teams of domain experts — sourcing, performance, quality, engagement Partner closely with Talent Acquisition (TA) and the scale team to develop and execute sourcing and hiring strategies for distributed expert teams. Drive project-specific research scoping — Collaborate with AI lab partners and internal researchers to define project boundaries and strategic direction. Operationalize ambiguous research requirements — Translate frontier lab needs into structured workflows and scalable execution plans. WHO YOU ARE Relentless executor — you have extreme agency and drive; when you see a problem you fix it, when a path doesn’t exist you create one Thrive in chaos — ambiguity energizes you; you’ve built systems and processes from nothing in fast-moving environments High-autonomy track record — experience in operations, consulting, or program management where you owned outcomes, not just tasks Technically fluent — you understand software systems and data pipelines well enough to earn credibility with engineers

About Abundant Abundant builds reinforcement learning environments for frontier AI labs. We design and operate the simulation infrastructure where next-generation models learn to reason, act, and solve complex problems. We’re a small, high-impact team scaling fast. The Role Research PM (RPM) is an emerging role that we are pioneering at 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.  Like traditional PMs, RPMs are still the voice of the user. RPMs talk to users or enterprises to find out how their work is performed and how they use AI. Then they decide how to distill the users’ feedback into evaluation and training data. We are RPMs that are triple-threats: folks that read up on the latest machine learning literature, and can and own technical tooling, and can scale up teams of hundreds. For folks in the AI data industry, you’ll recognize that this is the evolution of the SPL role from an purely-operations job into an all-rounder that includes research, product and execution. An RPM will end-to-end execution of Abundant’s most critical projects. You will translate ambiguous research requirements into structured workflows, manage distributed expert teams, and deliver flawless results under tight timelines. This is a founding-level operations role with outsized ownership. What You’ll Do Own project delivery end-to-end — scoping, design, contributor ops, QA, and handoff to AI lab partners Build and manage relationships with researchers at frontier labs Recruit, scale, and run distributed teams of domain experts — sourcing, performance, quality, engagement Build the operational playbook — processes, tooling, and QA systems that don’t exist yet Who you are Relentless executor — you have extreme agency and drive; when you see a problem you fix it, when a path doesn’t exist you create one Thrive in chaos — ambiguity energizes you; you’ve built systems and processes from nothing in fast-moving environments High-autonomy track record — experience in operations, consulting, or program management where you owned outcomes, not just tasks Technically fluent — you understand software systems and data pipelines well enough to earn credibility with engineers Nice to Have Familiarity with AI evaluation, benchmarks, or reinforcement learning Requirements Deep experience in one or more of the following: ML engineering or research Reinforcement learning and/or agentic harnesses Agent evaluation and benchmarking High-scale and high-reliability batch data pipelines

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 roboticist: the core bottleneck to progress is the availability of data, hence “_abundant data_”. Abundant works with a majority of the top AI labs, as well as frontier startups and F500 enterprises. About the Role As a Reinforcement Learning Researcher, you will work directly with the founding team and CTO to develop our customer-facing products and internal infrastructure and tooling, as well as scale and grow a team of engineers. As part of this role, you will lead efforts in RL, Simulation, and Data Quality, which includes running experiments on SOTA verifiers and data quality techniques, creating pipelines for data creation and curation, running data validation pipelines and experiments, and training models to validate data quality. Requirements Deep experience in one or more of the following: ML engineering or research Reinforcement learning and/or agentic harnesses Agent evaluation and benchmarking High-scale and high-reliability batch data pipelines We’re looking for folks that are obsessive about their work. In data, quantity is important but data quality is the differentiator for the winner in the space. In addition to this mindset, here are some skills that are a pre-requisite for working in startups: Extremely clear communication. We value being able to explain very complex technical concepts in very simple terms. Pragmaticsm. Able to go deep, but also to simplify and prioritize. Velocity. Fast at getting work done and picking up new skills. Curious about AI and technology; keeping up with the latest papers in agents, RL and benchmarks. Impact-oriented. Hacker. Always works on the most important 20% of the project in successive chunks. Handle extremely ambiguity. Able to unblock yourself and others. Here are three different personas that will succeed at Abundant: The Craftsman The Craftsman cares about their work, simply for the art of it. They may put extra care into UX or design, or into data quality, or customer success. The Craftsman is energized by putting out great work. The Underdog The Underdog is dying to prove themselves. They’ve overlooked; they haven’t challenged by their school or company, or they are tired of politics at a FAANG company. They’re looking for a chance to maximize their full potential and talent. The Antifragilist Our team collectively has an uncommon trait: high pain toler