Product Analyst — GenAI/Agentic Insights; New Grads
Singapore
Listed on 2026-02-28
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IT/Tech
Data Scientist, AI Engineer
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
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. We also believe in balancing productivity with self‑care, offering a vibrant and dynamic work environment and a multitude of benefits inside and outside of work. If this sounds right up your alley, please submit an application.
We look forward to getting to know you!
- 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
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. The core of the role is building a repeatable, modern “Insight Engine” for Product Research—powered by strong analytics, LLMs, and pragmatic automation—so insights land and drive measurable impact.
WhatYou’ll Do
- Perform multimodal analysis for product & design decisions (qual + quant)
- 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 quantitative and qualitative signals joinable, connecting themes to outcomes such as churn, adoption, or task success
- Run analyses that inform product and design decisions, including trend analysis, segmentation, lightweight experimentation readouts, measurement strategy, and narrative synthesis
- Use LLMs to turn messy qualitative data into structured, explainable representations
- Build small tools and dashboards that keep decisions data‑informed
- Help teams frame hypotheses, interpret results, and connect insights to product/design actions across Workato’s product offerings
- Deliver agentic insight deliveries 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 and uncertainty signals, rigorous evaluation and guardrails, and human‑in‑the‑loop controls
- Implement evaluation and observability so the system improves over time—quality checks, sampling workflows, lightweight ground truthing, telemetry, and regression‑style checks as the system evolves
- Research & design team automations that increase team velocity for 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
- Strong AI use encouraged: excited to use AI tools to move faster while staying rigorous about correctness, privacy, and safety
- Modern analytics skillset: strong SQL and data wrangling, able to translate messy questions into clean analysis
- Comfort with qualitative data: excited to analyze and structure transcripts, notes, open‑ended feedback alongside…
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