๐ง๐ต๐ถ๐ ๐ฟ๐ผ๐น๐ฒ ๐ถ๐ ๐ณ๐ผ๐ฟ ๐ผ๐ป๐ฒ ๐ผ๐ณ ๐๐ต๐ฒ ๐ช๐ฒ๐ฒ๐ธ๐ฑ๐ฎ๐'๐ ๐ฐ๐น๐ถ๐ฒ๐ป๐๐
๐ฆ๐ฎ๐น๐ฎ๐ฟ๐ ๐ฟ๐ฎ๐ป๐ด๐ฒ: ๐ฅ๐ ๐ต๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ - ๐ฅ๐ ๐ญ๐ต๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ (๐ถ๐ฒ ๐๐ก๐ฅ ๐ต๐ฌ-๐ญ๐ต๐ฌ ๐๐ฃ๐)
Experience: 2+ yrs
Location: Bengaluru, Karnataka, India
As a AI Product Manager, you will spearhead the development and launch of cuttingโedge AI solutions that solve realโworld problems. You will collaborate with data scientists, engineers, and design teams to translate business goals into actionable product roadmaps, ensuring seamless integration of evaluation frameworks and userโcentric features. Your role will involve continuous product iteration, performance monitoring, and stakeholder communication to keep projects on schedule and within budget. You will champion a dataโdriven culture, driving evidenceโbased decisions from prototype to production while fostering crossโfunctional alignment.
Requirements
๐๐ฒ๐ ๐ฅ๐ฒ๐๐ฝ๐ผ๐ป๐๐ถ๐ฏ๐ถ๐น๐ถ๐๐ถ๐ฒ๐
โข Define product vision, strategy, and roadmap for AI-driven features and services.
โข Lead the endโtoโend product lifecycle, from ideation and requirements gathering to launch and scaling.
โข Collaborate with data science teams to design, implement, and refine evaluation pipelines and metrics for model performance.
โข Prioritize product backlog based on business impact, technical feasibility, and user feedback.
โข Coordinate with engineering, design, and QA to ensure timely delivery of highโquality releases.
โข Advocate for the user by conducting market research, usability studies, and competitive analysis.
โข Communicate product updates, goals, and outcomes to stakeholders and executive leadership.
โข Monitor market trends and emerging AI technologies to inform product positioning and differentiation.
โข Develop goโtoโmarket strategies, pricing models, and partnership plans.
โข Track key performance indicators (KPIs) and iterate on product enhancements based on data insights.
๐ช๐ต๐ฎ๐ ๐ ๐ฎ๐ธ๐ฒ๐ ๐ฌ๐ผ๐ ๐ฎ ๐๐ฟ๐ฒ๐ฎ๐ ๐๐ถ๐
โข 2+ years of product management experience in AI or related tech domains.
โข Proven expertise in building and scaling evaluation frameworks for ML models.
โข Strong analytical mindset with the ability to translate data insights into product decisions.
โข Excellent storytelling and communication skills for both technical and nonโtechnical audiences.
โข Demonstrated success in crossโfunctional collaboration across engineering, design, and data science.
โข Experience with agile product development methodologies and tooling (Jira, Confluence).
โข Passion for staying current with AI ethics, bias mitigation, and responsible AI practices.
โข Ability to manage multiple priorities and deliver on tight timelines in a fastโpaced environment.
โข Strong business acumen and experience in defining product metrics and ROI.
โข A proactive, customerโobsessed attitude that drives product adoption and user satisfaction.