Product Analyst (Generative AI)

TL;DR

Product Analyst (Generative AI): Building a repeatable, modern "Insight Engine" for Product Research, synthesizing qualitative and quantitative data, improving insight transmission, and building automations/agents for efficiency with an accent on applying AI (LLMs) and strong analytics to consolidate product signals and generate decision-ready outputs. Focus on designing for trust and reliability in agentic insight delivery, integrating qualitative research with product telemetry, and accelerating research and design team velocity through automation.

Location: Singapore

Company

hirify.global is a leader in enterprise orchestration, providing an AI-powered platform that connects data, processes, applications, and experiences to streamline operations for 400,000 global customers.

What you will do

• Conduct multimodal (qualitative and quantitative) analysis to inform product and design decisions, partnering with Product Researchers, Designers, and Product Managers.
• Utilize LLMs to structure qualitative data and build tools/dashboards for data-informed decision-making.
• Develop and iterate on a User Insight Agent to support daily product decisions, ensuring transparency, reliability, and continuous improvement.
• Create automations and agents to streamline Research and Design team operations, improving efficiency in recruiting, study operations, synthesis workflows, and knowledge management.
• Alpha-test hirify.global's Agentic platform and Enterprise MCP capabilities, providing concrete feedback to Product/Design teams.

Requirements

• Strong AI use encouraged, with rigor on correctness, privacy, and safety.
• Modern analytics skillset: strong SQL, data wrangling, and comfort in translating messy questions into clean analysis.
• Excitement to analyze and structure qualitative data (transcripts, notes, open-ended feedback) alongside quantitative signals.
• Familiarity with LLM and agentic systems fundamentals (prompting, structured outputs, tool/function calling, retrieval/RAG, and basic evaluation/guardrails).
• Builder mindset to ship usable prototypes, automations, scripts, and lightweight internal tools.
• Product sense to articulate tradeoffs, propose practical workflows, and align outputs to stakeholder decisions.
• Clear communication to make complex findings and systems legible through crisp writing, visualizations, docs, and demos.
• Eligibility: Graduating senior with a relevant BS/MS degree (CS, Data Science, HCI, Design Engineering, or related), or junior candidates with <2 years of experience and strong relevant projects.

Nice to have

• 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.

Culture & Benefits

• Flexible, trust-oriented culture empowering everyone to take full ownership of their roles.
• Vibrant and dynamic work environment committed to balancing productivity with self-care.
• Driven by innovation and looking for team players who want to actively build the company.
• Recognized by Business Insider as an "enterprise startup to bet your career on" and by Quartz as the #1 best company for remote workers.
• Mentorship provided across Product Research, Design, PM, Engineering, and AI Lab teams.
• Opportunity for real ownership and influence on next-gen analytics and state-of-the-art Agentic products.

Hiring process

• Job application questions are personally reviewed by the Hiring Team, not evaluated by AI.