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Rubiscape Private Limited

Associate Product Manager

Posted 10 Hours Ago
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In-Office
Pune, Maharashtra, IND
Junior
In-Office
Pune, Maharashtra, IND
Junior
Supports product discovery, customer research, competitive analysis, user story development, backlog management, sprint tracking, and feature launches. Analyzes product usage through dashboards and SQL, coordinates engineering, design, QA, and customer success teams, prepares release communications, and participates in enterprise customer onboarding and business reviews. The role develops early-career product leaders at the intersection of AI/ML, analytics, and enterprise software.
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About the Role

The Associate Product Manager programme at Rubiscape is designed to develop India’s next generation of enterprise AI product leaders. You will be embedded within one of our six studio squads — gaining hands-on exposure to the full product lifecycle, from customer discovery and competitive analysis through to sprint execution and feature launch. You will work alongside senior PMs and engineering leads on a platform trusted by Fortune 500 enterprises, learning how to operate at the intersection of cutting-edge AI/ML technology and real-world enterprise decision-making. If you are analytically sharp, deeply curious about how data and AI reshape business outcomes, and want to build products that matter, this is where your product career begins.

 

Key Responsibilities

·         Support senior PMs in conducting customer interviews, user research sessions, and competitive analysis to feed the product discovery process.

·         Write user stories, acceptance criteria, and feature briefs for well-scoped problem areas under the guidance of a senior PM mentor.

·         Own the management and grooming of the studio backlog in Jira: triaging bug reports, updating ticket details, tracking sprint progress, and surfacing blockers proactively.

·         Analyse product usage data using RubiSight dashboards and SQL queries to identify adoption trends, drop-off points, and opportunities for product improvement.

·         Coordinate cross-functional communication between engineering, design, QA, and customer success teams to ensure smooth sprint execution and timely feature releases.

·         Prepare internal and external product communications: release notes, internal FAQs, feature highlight decks, and customer-facing changelogs.

·         Participate in customer onboarding calls and quarterly business reviews to build direct intuition for enterprise user needs and the <90-day time-to-value journey.

 

Nice to Have

·         Internship or project experience at a SaaS, analytics, or AI-focused company.

·         Exposure to agile/scrum methodologies and tools (Jira, Confluence, Figma, Notion).

·         Basic familiarity with BI tools, data pipelines, or ML concepts — even from academic coursework or self-directed learning.

·         Participation in product case competitions, hackathons, or fellowship programmes (e.g., PM School, ProductSpace, or similar India-based PM development initiatives).

 

 

 

About Rubiscape

Rubiscape is India’s leading Decision Intelligence Platform, unifying data engineering, BI, machine learning, and agentic AI in a single governed platform. Built in Pune and trusted by Fortune 500 enterprises across BFSI, manufacturing, healthcare, and government. 8 international innovation patents. 10 Industry-Academia Labs & COEs. From BI to AI — One Platform. Every Decision.



RequirementsRequirements

·         0–2 years of experience in product management, business analysis, consulting, or a technical role with strong exposure to software product development.

·         Bachelor’s degree in engineering, computer science, mathematics, or a related quantitative discipline from a recognised institution.

·         Strong analytical skills: ability to frame problems, structure hypotheses, and use data (Excel, SQL, or basic Python) to support product decisions.

·         Excellent written and verbal communication; able to produce clear, concise documentation that both engineers and business stakeholders can act on.

·         Genuine curiosity about data, AI/ML, and enterprise software — evidenced by side projects, coursework, internships, or published writing.



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