About Workato

Workato transforms technology complexity into business opportunity. As the leader in enterprise orchestration Workato helps businesses globally streamline operations by connecting data processes applications and experiences. Its AI-powered platform enables teams to navigate complex workflows in real-time driving efficiency and agility.

Trusted by a community of 400000 global customers Workato empowers organizations of every size to unlock new value and lead in todays fast-changing world. Learn how Workato helps businesses of all sizes achieve more at .

Why join us

Ultimately Workato believes in fostering a flexible trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company.

But we also believe in balancing productivity with self-care. Thats why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives.

If this sounds right up your alley please submit an application. We look forward to getting to know you!

Also feel free to check out why:

• Business Insider named us an enterprise startup to bet your career on

• Forbes Cloud 100 recognized us as one of the top 100 private cloud companies in the world

• Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area and 96th in North America

• Quartz ranked us the #1 best company for remote workers

About the role

In support of Workatos broader push toward becoming a walltowall agentic company one important area where this comes to life is the teams investment in internal agentpowered systems such as a User Insight Agent (PM Agent) that helps centralize feedback and package it into decisionready outputs. Youll contribute to and benefit from that ecosystem but the core of the role is broader: building a repeatable modern Insight Engine for Product Researchpowered by strong analytics LLMs and pragmatic automationso insights land and drive measurable impact.

Product Research needs a nextgen Product Analyst who can:

- Synthesize qual quant across product verticals to inform product and design decisions.

- Go beyond insight generation to also improve insight transmission making insights easier to consume (briefs artifacts decision narratives) and more likely to be acted on.

- Build automations and agents that increase the daytoday efficiency of the Research and Design team so the team can move faster without sacrificing rigor.

What youll do

1) Multimodal analysis for product & design decisions (quant qual)

- Work with qualitative and quantitative data sources to consolidate product signals across channels.

- Partner closely with Product Researchers Designers and Product Managers to define schemas and pipelines that make qualitative and quantitative signals joinable (so we can connect themes to outcomes like churn adoption or task success).

- Run analyses that inform product and design decisions: trend analysis segmentation lightweight experimentation readouts measurement strategy and narrative synthesis.

- Use LLMs to help turn messy qualitative data into structured explainable representations.

- Build small tools/dashboards that keep decisions datainformed.

- Help teams frame hypotheses interpret results and connect insights to product/design actions across Workatos product offerings.

2) Agentic insight delivery (insights that actually land)

- Build and iterate on a User Insight Agent that supports everyday product decisions

- Create stakeholderready outputs with traceable evidence tailored to the decision being made.

- Design for trust and reliability: transparency citations to source evidence confidence/uncertainty signals rigorous evaluation/guardrails and humanintheloop controls.

- Implement evaluation observability so the system improves over time (quality checks sampling workflows lightweight ground truthing telemetry and regression-style checks as the system evolves).

3) Research & design team automations (increase team velocity)

- Create automations/agents that streamline daily operations for Research and Design aiming to make the team faster and more effective across recruiting study operations synthesis workflows and knowledge management.

- Treat internal ops as a product: measure time saved throughput gains and quality improvements.

- Alpha-test the Workato Agentic platform and Enterprise MCP capabilities and provide concrete feedback to Product/Design

Youll thrive here if you have

Musthaves

- Strong AI use encouraged: youre excited to use AI tools to move faster (while staying rigorous 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 (transcripts notes openended feedback) alongside quantitative signals.

- LLM agentic systems fundamentals: familiarity with prompting structured outputs tool/function calling retrieval/RAG and basic evaluation/guardrails.

- Builder mindset: you ship usable things: prototypes automations scripts lightweight internal tools; not just slides.

- Product sense: you can clearly articulate tradeoffs propose practical workflows and align outputs to stakeholder decisions.

- Clear communication: you can make complex findings and systems legible through crisp writing visualizations docs and demos.

Nicetohaves

- Familiarity with MCP (Model Context Protocol) or agent frameworks; observability/eval tooling for LLM systems.

- Experience joining qualitative research artifacts with product telemetry in a principled way.

- Background in experiment design causal thinking or measurement strategy.

- Experience working in a SaaS environment or with enterprise customers.

- Ability to build lightweight UIs (e.g. TypeScript/React) for internal tools.

- Reliability mindset (testing monitoring safe iteration) for data/LLM workflows.

Tools & stack

- Python (analysis scripting/services) SQL notebooks lightweight frontends

- LLM tooling: structured outputs RAG/vector retrieval eval/guardrails tracing/telemetry

- Workato Agentic Enterprise MCP platform

- Optional: React

What youll gain

- A frontrow seat and real ownership on what nextgen 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 productsboth internally and externally to customersthat influence real product decisions and help shape how insights flow through the org.

- Handson experience building evaluating and hardening LLM/agent workflows for real stakeholders and real decisions.

- A stronger portfolio of practical work artifacts (insight narratives lightweight tools automations evaluation setups) you can talk about.

Eligibility for application

- Graduating senior with a relevant BS/MS degree (CS Data Science HCI Design Engineering or related).

- Junior candidates with <2 years of experience and strong relevant projects may also be considered.

To stand out in our hiring process please take the time to respond to the Job Application Questions below with concise yet informative answers. All submissions are personally reviewed by the Hiring Team not evaluated by AI.

(REQ ID: 2536)