Associate Product Manager

About Us

peopleHum is an AI-native human capital platform built on microservices, event-driven pipelines, and deep LLM integrations. We are looking for a driven engineering graduate to join as a Probationary Associate in Full Stack Agentic AI Development. You will work with senior engineers to build LLM-powered systems and user-facing applications, gaining hands-on experience across the tech and domain stack. This role is designed to fast-track growth for candidates with strong technical aptitude and a passion for AI engineering. The role and opportunity is based out of Mumbai and Mumbai resident candidates will be given first preference. The opportunity carries an above market pay package on confirmation with the opportunity to participate in a stock plan.

Find out more - https://www.peoplehum.com

Role Overview

At peopleHum, we’re building AI-driven product experiences that are shaping the future of work. We’re looking for an Associate Product Manager who is passionate about quality, execution, and customer impact. You’ll work closely with the Head of Product, own features end-to-end from PRD to production, and actively contribute to our growing AI and Agentic initiatives.

Roles Responsibilities

• Report to and collaborate with the Head of Product to develop strategies that expand peopleHum into new markets, positioning it as a leading HCM platform for the hybrid work model.
• Drive roadmap execution to rapidly expand the product suite and create sustainable product differentiation moving fast without cutting quality corners.
• Spend a disproportionate amount of time with customers and prospects informing product vision, co- innovating on solutions, and bringing the outside-in perspective to every roadmap decision.
• Define your features completely write PRDs, specs, and user stories with full ownership of your modules. Engineers should be able to build from your documents without constant back-and-forth.
• Manage daily workflow with a team of engineers and designers, unblocking sprint ceremonies and enabling clear decision-making.
• Own UAT before every production release write test cases, catch regressions and edge cases, and sign off on quality. You are the last line of defence before customers see the product. MUST HAVE
• Analyse the effectiveness of shipped features track usage, identify failure points, and define iterative improvements to reduce drop-offs and increase adoption.
• Own every task assigned to you follow through without reminders, communicate blockers early, and close the loop with stakeholders.
• Represent your team in communication with product, engineering, design, and marketing leadership be a clear, structured voice for your squad.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or equivalent practical experience.
• MBA is a plus, particularly if paired with strong technical depth.

Must have skills

• Strong prioritization instincts you can triage a messy backlog, say no clearly, and explain tradeoffs to engineering and business stakeholders.
• Strong written and verbal communication skills with a talent for precise articulation of customer problems vague specs are not acceptable.
• Technical fluency ability to gain an in-depth understanding of software systems, work comfortably with engineers on architecture discussions, and make meaningful technical contributions.
• Hands-on experience using AI tools daily Cursor, ChatGPT, Perplexity, Claude, Notion AI, or similar and a genuine curiosity for how these tools work.
• Working understanding of LLM-based products prompt design, RAG architectures, AI agents, and the failure modes unique to AI systems (hallucinations, latency, eval metrics).
• A quality obsessed mindset you've personally run UATs, written test cases, and taken accountability for what ships to production.
• Passion for building delightful products with an eye for design you have intuition for good user flows, UX detail, and can articulate what 'well-crafted' means.
• Demonstrated accountability and ownership: you close tasks, not just open them. You flag risks early and follow up proactively.

Good to have skills

• Understanding of the HCM (human capital management) space and enterprise SaaS — highly desirable but not a blocker if everything else fits.
• Experience with tools like JIRA, Linear, Mixpanel, Amplitude, Figma, and Notion.
• Exposure to API-first or developer-facing B2B products.
• Basic SQL or data querying ability to self-serve on product analytics.
• Prior experience shipping features that included an AI or ML component.