Savar K. Sareen
Professional Summary
Product leader and
technical builder with 11 years of
experience shipping products across
AI infrastructure,
enterprise SaaS, and
consumer platforms. Currently lead PM for compute
capacity via Meta's internal cloud console, a self-serve control
plane for AI agents and workloads. Hands-on developer who builds and ships real
applications (Savar.ai, Sol-Unified, JustBuildApps). Track record of
driving measurable business outcomes from
$30M product launches to
60% revenue growth to protecting
$70B in GPU capacity.
Professional Experience
-
Lead product for compute capacity via Meta's internal cloud
console, a self-serve control plane for discovering,
requesting, and managing capacity for AI agents and workloads
across 7 GW of AI compute infrastructure
-
Drive productization of
LogAct, improving agent reliability through rule-based enforcement,
systems engineering, and ML in agentic infrastructure
-
Lead adoption of AI tools across PM orgs and introduce
agentic-loop workflows for product development
-
Enhanced capacity demand planning covering
$70B+ in AI and non-AI compute resources
across Meta's global fleet
-
Cut monetization risk from
5.6% to 0.6% in one quarter, unblocking
several billion dollars in ad spend
-
Led the AI4PM Infra initiative, driving a
75% increase in AI adoption across Infra;
built internal planning tool adopted across org groups
-
Optimized brokered margins by 23% by launching
an AI-powered supply chain pricing model and
driving services revenue with AI-driven insights built with
data science leads
-
Managed a team of product managers, engineers, and support,
focusing on cohesion and growth
-
Achieved 60% YoY SaaS revenue growth by
spearheading a data-driven roadmap
-
Increased business customers by 50% and profit
70% YoY by designing and executing a
Product-Led Growth funnel
-
Accelerated feature velocity by 20% by bridging
barriers across cross-functional stakeholders and streamlining
engineering workflows
-
Accelerated AI implementation for startups by
developing product roadmaps and guiding technical teams on
Agents, and
LLM integration
-
Advised Fortune 500 teams on responsible AI
deployment strategies and technical feasibility for scaling
GenAI tools
-
Generated $17M in revenue by launching a
mobile-first loyalty program that enabled
AI-driven personalization for millions of users
-
Increased digital sales by 10% by rebuilding
and rebranding the Burger King website to optimize specifically
for sales conversion
-
Grew app MAU by 18% to 20M through targeted
feature prioritization and offer-based Go-To-Market campaigns
-
Generated $30M in post-launch revenue by
launching a new network infrastructure product for the supply
chain suite
-
Improved user engagement metrics by enhancing search UX using
Watson AI for natural language processing
Selected Projects & Ventures
-
Sol-Unified:
Built a native macOS productivity context layer to unify
workflows for AI agents
-
JustBuildApps.com:
Launched an app discovery platform specifically for "vibe
coders" and AI-assisted developers
-
Savar.ai:
Developed a personal portfolio and experimental playground,
shipping multiple applications using modern AI stacks
Education
University of Pennsylvania | B.A. in Economics &
Political Science | May 2015
Technical Skills
Infrastructure & AI: GPU
Capacity Planning, Demand Forecasting, Structure Goals Frameworks,
LLM Context Optimization
Preferred Development Stack:
Python (FastAPI), React/Javascript, VPS hosting, custom .md based
context management, Swift > React Native, sqlite
Favored Tools: Claude Code,
Cursor, Zed, posthog, purpose-built vibecoded app