Product Manager

About Us: Headquartered in Sunnyvale, with offices in Dallas & Hyderabad, Fission Labs is a leading software development company, specializing in crafting flexible, agile, and scalable solutions that propel businesses forward.With a comprehensive range of services, including product development, cloud engineering, big data analytics, QA, DevOps consulting, and AI/ML solutions, we empower clients to achieve sustainable digital transformation that aligns seamlessly with their business goals. Role Overview: We are seeking an experienced AI Product Manager to own the lifecycle of machine-learning and generative-AI products—from concept through launch and iteration. You’ll translate market and user insights into clear roadmaps, partner with engineering and data-science teams to deliver scalable solutions, and measure impact against business KPIs. Location: Hyderabad Notice Period: Immediate to 30 Days Experience: 7 – 9 years overall (incl. 3 + years in ML / data-platform products) Responsibilities: Product strategy & vision ● Define long-term AI product strategy aligned with company OKRs and market trends. ● Champion user problems, competitive differentiators, and regulatory considerations. Roadmap & backlog ownership ● Convert strategy into epics, user stories, and acceptance criteria; prioritise using data-driven frameworks. ● Maintain a groomed backlog and lead sprint planning with cross-functional squads. End-to-end delivery ● Collaborate daily with engineering, data science, UX, QA, and DevOps to ship high-quality releases. ● Drive trade-off decisions on model choices (e.g., classical ML vs. LLM), latency, cost, and privacy. User & stakeholder engagement ● Conduct discovery interviews, usability testing, and beta programs with target users (developers, analysts, business owners). ● Present roadmaps, release demos, and performance updates to executive leadership and customers. Metrics & continuous improvement ● Define success KPIs (adoption, NPS, accuracy, cost per inference, ARR). Monitor dashboards and run A/B tests to optimize. ● Capture feedback loops to iterate on prompts, models, or feature sets. Market & ecosystem awareness ● Track advances in AI frameworks, vector databases, model hosting, and responsible-AI standards. ● Evaluate build / partner / buy options and recommend platform integrations or third-party partnerships. Qualifications: ● 7-9 years total product-management experience, including 3+ years with AI / ML / data-platform products. ● Proven track record shipping B2B SaaS, platform APIs, or developer-tooling features end-to-end. ● Hands-on familiarity with AI concepts: supervised vs. unsupervised learning, model evaluation, prompt engineering, retrieval-augmented generation, MLOps pipelines. ● Ability to write clear PRDs, epics, and technical diagrams; comfortable using Jira, Confluence, or equivalent. ● Strong analytical skills; fluent with SQL/BI tools for product metrics. ● Excellent communication and stakeholder-management skills across business and technical audiences. ● Bachelor’s degree in Computer Science, Engineering, Data Science, or equivalent practical experience. Preferred / nice to have ● Experience with vector databases, LLM fine-tuning, or agentic AI orchestration. ● Understanding of cloud AI services (AWS, GCP, Azure) and cost-optimisation levers. ● Familiarity with responsible-AI frameworks and governance in regulated industries. ● MBA from Tier-1 Institution We Offer: ● Opportunity to work on business challenges from top global clientele with high impact. Vast opportunities for self-development, including online university access and sponsored certifications. ● Sponsored Tech Talks, industry events & seminars to foster innovation and learning. ● Generous benefits package including health insurance, retirement benefits, flexible work hours, and more. ● Supportive work environment with forums to explore passions beyond work. ● This role presents an exciting opportunity for a motivated individual to contribute to the development of cutting-edge solutions while advancing their career in a dynamic and collaborative environment. Show more Show less