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Product Analyst — GenAI​/Agentic Insights; New Grads

Remote / Online - Candidates ideally in
Singapore, Singapore
Listing for: Workato Inc
Remote/Work from Home position
Listed on 2026-02-15
Job specializations:
  • IT/Tech
    Data Scientist, Data Analyst, AI Engineer, Data Science Manager
Salary/Wage Range or Industry Benchmark: 60000 - 80000 SGD Yearly SGD 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Position: Product Analyst — GenAI/Agentic Insights (New Grads) New

Product Analyst — GenAI/Agentic Insights (New Grads) 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 400,000 global customers, Workato empowers organizations of every size to unlock new value and lead in today’s fast-changing world. Learn how Workato helps businesses of all sizes achieve more at  .

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
. That’s 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!

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 Workato’s broader push toward becoming a wall‑to‑wall agentic company, one important area where this comes to life is the team’s investment in internal, agent‑powered systems, such as a User Insight Agent (PM Agent) that helps centralize feedback and package it into decision‑ready outputs. You’ll contribute to and benefit from that ecosystem, but the core of the role is broader: building a repeatable, modern “Insight Engine” for Product Research—powered by strong analytics, LLMs, and pragmatic automation—so insights land and drive measurable impact.

Product Research needs a next‑gen 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 day‑to‑day efficiency of the Research and Design team, so the team can move faster without sacrificing rigor.
What you’ll do
  • 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 data‑informed.
  • Help teams frame hypotheses, interpret results, and connect insights to product/design actions across Workato’s product offerings.
2) Agentic insight delivery (insights that actually land)
  • Build and iterate on a User Insight Agent that supports everyday product decisions
  • Create stakeholder‑ready 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 human‑in‑the‑loop 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,…
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