Deep Dave
Technical Product Manager- AI @ Eagleview | SAFe® 6.0 certified Product Manager | Top Product Management voice | Innovation | Strategy
Bengaluru
7+ years of work experience
Jun 20251 yr 3 mosPresent
Bengaluru
Model & orchestration architecture
Started by selecting and integrating frontier LLMs within a multi-model MCP-based orchestration layer — including third-party integrations for web search and others. Designed Deep Thinking and Fast modes to balance reasoning depth against latency based on task complexity and user intent.
Responsible AI & reliability
Before shipping any capability to customers, defined and executed the responsible AI framework — guardrail design, Golden Prompt engineering, safety checklists, bias review, and NFR coverage — establishing the trust and safety foundation the product is built on.
Eval & quality engineering
Leveraging LLM-as-Judge evaluation framework that automatically scores every customer session on a 1–5 GPA scale. Tracks score trends across session cohorts — converting qualitative model behavior into an auditable, continuous quality signal tied directly to product outcomes.
AI analytics & feedback loops
Deployed AI analytics to capture user signals and track GPA score trends by session cohort — creating a closed-loop improvement cycle that translates customer feedback into measurable roadmap decisions across model behavior and product experience.
Pricing, packaging & monetization
Architected usage-based pricing with subscription tier controls and access metering, aligned to customer segments — bridging AI capability decisions with commercial strategy and GTM execution to build a sustainable business model around the platform.
Oct 20231 yr 8 mosMay 2025
Hybrid
• Developing Product roadmap for Europe business charter, ensuring alignment of product features with market demands and evolving business goals.
• Leading cross functional teams to identify and prioritize ongoing product enhancements, leveraging real-time data-driven insights and incorporating stakeholder feedback.
• Actively capturing, analysing and reporting performance metrics in real-time; translating such insights into actionable product requirements to drive business growth.
• Conducted impact analysis and engaged in features prioritizations to drive process improvement.
• Led UI/UX design and wire-framing efforts, owning and executing PRDs and FRDs for release documents.
Sep 20203 yrs 1 moSep 2023
On-site
• Managed stakeholder relationships and collaborated across teams to roadmap and launch new product features.
• Conducted market research, competitive analysis and user reviews to prioritize product features and enhance user experience.
• Conducted A/B experiments using tools like Google Optimize and Pokus to identify viable solutions and features.
• Facilitated the experimentation of solutions through MVPs, fostering a culture of continuous improvement, and enhancing the UX based on customer centric approach.
• Gathered and analyse data using tools like: PowerBI, Google analytics, to drive actionable insights for product improvement.
Feb 20194 mosMay 2019
Pune, India
Internship of 14 weeks.
Jun 20161 yr 8 mosJan 2018
Ahmedabad, Gujarat
Deep’s AI Stack
Education
Postgraduate Degree
Indian Institute of Management, Indore
20211 yr2022
Master of Business Administration - MBA, Marketing and Research
ICFAI Business School, Pune Official
20182 yrs2020
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