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Entry LevelFull-timeTypeScriptPythonRustReactNode.jsRailsData ScienceGoAI
Salary Range
$36,720 - $49,680 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
Workato is seeking a Product Analyst to contribute to building a modern "Insight Engine" for Product Research. This role involves synthesizing qualitative and quantitative data to inform product and design decisions, building automations and agents to increase team efficiency, and delivering insights that drive measurable impact.
Key Responsibilities
- →Synthesize qualitative and quantitative data across product verticals to inform product and design decisions.
- →Build automations and agents that increase the day-to-day efficiency of the Research and Design team.
- →Create stakeholder-ready outputs with traceable evidence tailored to the decision being made.
- →Implement evaluation and observability to improve the system over time.
- →Create automations/agents that streamline daily operations for Research and Design.
Requirements
- ✓Strong AI use encouraged: excited to use AI tools while maintaining rigor about correctness, privacy, and safety.
- ✓Modern analytics skillset: strong SQL + data wrangling; comfortable translating messy questions into clean analysis.
- ✓Text/qual comfort: excited to analyze and structure qualitative data alongside quantitative signals.
- ✓LLM + agentic systems fundamentals: familiarity with prompting, structured outputs, tool/function calling, retrieval/RAG, and basic evaluation/guardrails.
- ✓Builder mindset: ship usable things like prototypes, automations, scripts, lightweight internal tools.
- ✓Product sense: clearly articulate tradeoffs, propose practical workflows, and align outputs to stakeholder decisions.
- ✓Clear communication: make complex findings and systems legible through crisp writing, visualizations, docs, and demos.
Benefits
- ★A front-row seat and real ownership on what "next-gen analytics" looks like in an agentic company.
- ★Mentorship across Product Research, Design, PM, Engineering, and AI Lab teams.
- ★The chance to ship state-of-the-art Agentic products that influence real product decisions.
- ★Hands-on experience building, evaluating, and hardening LLM/agent workflows for real stakeholders and real decisions.
- ★A stronger portfolio of practical work artifacts you can talk about.
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