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.Private and Confidential www.fissionlabs.com info@fissionlabs.com

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.

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• 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

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• 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.

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