About Us

Radical Numerics is an AI research lab building general biological intelligence. Our mission is to master the code of life, and our purpose is to reduce human suffering.

Our team created Evo, and started the field of generative genomics. Our work was featured on the cover of Science, and presented by our CEO on the main stage of TED2025. Evo was used to create the first AI gene therapy tool CRISPR-Cas9, and the first AI whole genome from scratch. Evo 2, featured in Nature, is the largest fully open source AI project across any domain.

Radical Numerics is bringing the rigor of distributed systems, model architecture, and numerics research to the challenges of biology. We’ve redesigned the foundation model training stack to turn the world’s raw scientific data (e.g. biological sequences, experiments, and physical processes), into intelligible, generative models that can expand and accelerate what humanity can understand, design, and cure.

The same generative breakthroughs that enable life-saving cures also lowers the barrier to creating engineered threats and AI-generated bioweapons. We believe these forces are inseparable. Radical Numerics was founded to develop both the power to design and the responsibility to defend.

About the Role

As Product Manager, you will help turn Radical Numerics’ frontier AI research into products that scientists, biotech teams, governments, and biosecurity organizations can actually use. This is not a traditional SaaS PM role. You will operate at the intersection of AI research, biology, product design, and commercialization, helping define how general biological intelligence becomes a real platform for discovery, health, and defense.

You will work closely with the CEO, research team, engineering team, and external partners to identify the highest-leverage product opportunities, translate ambiguous scientific capabilities into clear user workflows, and drive execution from concept to launch. This may include products for biological design, statistical genetics, pathogen detection, multimodal biological analysis, or entirely new applications that emerge from our models.

You should be comfortable with ambiguity, technical complexity, and fast-moving priorities. One week you may be interviewing scientists and biotech users; another week you may be shaping a demo for strategic partners, writing product specs for a new model-powered workflow, or helping define the first version of a biosecurity platform. The ideal candidate is product-minded, technically fluent, user-obsessed, and motivated by the chance to help define a new category: AI systems that can understand, design, and defend biology.

What You’ll Do

• Own product development for early Radical Numerics applications, from problem discovery through launch

• Translate frontier AI capabilities into clear product concepts, workflows, and user experiences

• Work closely with researchers and engineers to define product requirements, prioritize features, and drive execution

• Conduct user research with scientists, biotech teams, biosecurity stakeholders, and strategic partners

• Identify high-value use cases across health, biological design, statistical genetics, and biosecurity

• Develop product specs, wireframes, demos, launch plans, and internal decision documents

• Partner with leadership on product strategy, roadmap, positioning, and go-to-market priorities

• Help turn ambiguous partner conversations into concrete product opportunities and requirements

• Build feedback loops between users, commercial stakeholders, researchers, and engineers

• Drive product quality, usability, and clarity in highly technical domains

• Help shape the product culture of a frontier AI research lab
  
  

What We’re Looking For

• 2–6 years of experience in product management, technical product, startup operations, or a highly analytical role

• Strong product instincts: you can identify real user pain, simplify complexity, and turn vague ideas into concrete workflows

• Technical fluency, especially in AI, software, data products, developer tools, computational biology, or scientific platforms

• Excellent written communication; you can produce clear specs, product narratives, and decision documents

• High ownership and bias toward action; you can operate without needing a fully defined roadmap

• Comfort working in ambiguity, especially around emerging technology and novel markets

• Ability to collaborate deeply with researchers, engineers, designers, commercial teams, and external partners

• Strong judgment around product tradeoffs, user needs, and execution priorities

• Low ego, high curiosity, and willingness to learn new scientific and technical domains quickly

• Excitement about building at the frontier of AI, biology, and human health
  
  

Nice to Have

• Experience building AI, ML, developer tools, bioinformatics, biotech, or scientific software products

• Background / exposure to biology, computational biology, genomics, biosecurity, drug discovery, or healthcare

• Experience working with researchers or translating research into products

• Experience at an early-stage startup or fast-moving technical organization

• Familiarity with LLMs, foundation models, agents, sequence models, or multimodal AI systems

• Experience designing products for technical users, scientists, or enterprise customers

• Comfort with product analytics, user interviews, prototyping tools, or lightweight design workflows

• Experience supporting demos, strategic partnerships, pilots, or enterprise customer discovery

Radical Numerics is committed to equal employment opportunity and does not discriminate in any employment opportunities or practices based on an individual's race, color, creed, gender (including gender identity and gender expression), religion (all aspects of religious beliefs, observance or practice, including religious dress or grooming practices), marital status, registered domestic partner status, age, national origin or ancestry (including language use restrictions and possession of a driver’s license issued under California Vehicle Code section 12801.9), natural hair, physical or mental disability, political affiliation, medical condition (including cancer or a record or history of cancer, and genetic characteristics), sex (including pregnancy, childbirth, breastfeeding or related medical condition), genetic information, sexual orientation, military and veteran status or any other consideration made unlawful by federal, state, or local laws. It also prohibits unlawful discrimination based on the perception that anyone has any of those characteristics, or is associated with a person who has or is perceived as having any of those characteristics.