Product Manager – Ai Solutions

5 days ago

Yelahanka, India Tipstat® Full time

Own Strategy → Scoping → Execution → Delivery → Iteration for AI-driven solutions (LLM, Workflow Automation, NLP). Help define the vision, accurately estimate technical effort, and ship industry-leading products. What you’ll do - Own the full product lifecycle: Ideation, technical scoping, roadmap planning, sprint execution, launch, and post-launch iteration. - Bridge the gap: Translate high-level business goals into detailed technical specifications and user stories that engineers and data scientists can execute on. - Estimate and prioritize: Use your Computer Science background to accurately scope the "Level of Effort" for features; prevent scope creep by anticipating technical risks early. - Architect workflows: Design complex automation flows that integrate LLMs and standard logic to streamline user processes. - Drive the roadmap: Balance long-term AI innovation with immediate market needs; manage timelines and stakeholder expectations. - Validate performance: Define KPIs (accuracy, latency, user adoption) and use data to iterate on models and features. - Market intelligence: Monitor the AI landscape (new models, competitive features) to keep Tipstat ahead of the curve. What makes you a great fit - 3+ years in Technical Product Management with a focus on AI, ML, or data-heavy products. - CS Background: Bachelor’s or Master’s in Computer Science (or equivalent); you understand the codebehind the product and can speak the engineer’s language. - Technical Fluency: Deep familiarity with LLMs, RAG, NLP, and Computer Vision. You know the difference between a prompt engineering fix and a model fine-tuning requirement. - Execution mindset: Proven track record of shipping complex products in Agile environments; ability to manage trade-offs between speed and quality. - Precision Scoping: You are famous for accurate timelines because you understand the underlying architecture and dependencies. - Communication: You can explain "Transformer architecture" to a CEO and "Business ROI" to a Backend Engineer. AI & Product Tools (experience required) - Roadmapping & Agile Management: Jira, Linear, Aha, Productboard (managing backlogs and sprints). - AI Research & Prototyping: ChatGPT/Claude (for spec writing/brainstorming), OpenAI Playground, Hugging Face (exploring model capabilities). - Documentation & Knowledge: Notion, Confluence (creating technical PRDs and functional specs). - Design & Flowcharting: Figma, Miro, Lucidchart (visualizing agentic workflows and user journeys). - Analytics & Data: Amplitude, Mixpanel, Google Analytics, Basic SQL (querying usage data independently). - Automation: Make/Zapier/n8n (understanding how to orchestrate workflows). Bonus if you’ve... - Deployed models on cloud platforms (AWS, Azure, GCP). - Built your own AI demos using tools like LangChain or Streamlit. - Managed MLOps pipelines or have experience with version control for models.

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