Gamut
Head of Research
San Francisco
Sponsorship not specified$50k-$500kDetected 310 days ago
PythonAlgorithmsSnowflakeMachine LearningNLPLLMsAI OrchestrationA/B TestingResearch
> stay_score
odds of building a lasting career here
37Unrated
Cap-exempt (no lottery)0
Sponsors this role0
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70
No strong sponsorship signal in the public record yet. In the full product we resolve the exact legal entity and show its filing history with a confidence score — treat as unverified until then.
Lottery odds assume a STEM candidate.
Personalize to your clock →> community_outcomes
No reports yet — be the first to help the next applicant.
About the role
- Set the research strategy and roadmap for agent planning, tool orchestration, multi-agent coordination, and evaluation.
- This role is in-office, 5 days/week, based in San Francisco.
Responsibilities
- Datawizz is building the agent workforce.
- We're hiring people who want to build, not manage.
- Build, lead, and mentor a high-caliber applied research team.
- Design and run rigorous experiments (ablations, offline/online A/Bs), defining clear metrics for reliability, accuracy, and performance.
- Develop novel methods (e.g., agent planning algorithms, tool selection strategies, multi-agent coordination, safety/alignment techniques) and ship reference implementations.
- Collaborate with engineering to transfer research into production and measure real-world impact.
- As Head of Research, you'll own Datawizz's research agenda and build an applied research organization focused on making agents radically more reliable and capable.
- Own our evaluation stack: datasets, benchmarks, human-in-the-loop reviews, and reliability/safety assessments.
Nice to have
- Leading applied ML/NLP research teams and shipping work into production at a startup or high-growth company.
- Data curation and labeling workflows, with attention to privacy, safety, and robustness.
- Communicating research clearly and partnering cross-functionally with engineering and product.
- (Nice to have) Publications or notable open-source contributions
- early-stage 0→1 experience.
Skills
- Large-scale agent systems: orchestration frameworks, tool APIs, distributed execution, observability, and logging infrastructure.
- Strong coding skills in Python and a bias toward hands-on experimentation and rapid iteration.
Compensation
- $50,000-$500,000)
- Competitive salary, based on experience level (Annual compensation range: $50,000-$500,000)
Benefits
- Meaningful equity
Company info
- Early customers are already automating several hours of their workday.
- We're a seed-stage team backed by Human Capital (SpaceX, Snowflake, Anduril) building a platform that helps enterprises build and deploy agents - with the right permissions, guardrails, and activity logging to actually ship within companies.
This listing is sourced directly from Gamut's careers page and normalized into a canonical job model.