Datawizz

Head of Research

San Francisco

Sponsorship not specified$50k-$500kDetected 300 days ago

PythonAlgorithmsSnowflakeMachine LearningNLPLLMsAI OrchestrationA/B TestingResearch

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.
Leading applied ML/NLP research teams and shipping work into production at a startup or high-growth company.

Datawizz is building the agent workforce.
We're hiring people who want to build, not manage.
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.
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.
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.

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.

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.

$50,000-$500,000)
Competitive salary, based on experience level (Annual compensation range: $50,000-$500,000)

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.
Early customers are already automating several hours of their workday.

This listing is sourced directly from Datawizz's careers page and normalized into a canonical job model.