Bharat Gandhi

CEO

San Francisco, California, United States4 yrs 9 mos experience
Highly StableAI Enabled

Key Highlights

  • Cut audiobook time-to-market by ~50%
  • Increased RateGain ARR from $3M to $4M
  • Lifted NPS from -15 to +9 in 3 quarters
Stackforce AI infers this person is a SaaS Product Manager with expertise in AI-driven solutions and data analytics.

Contact

Skills

Core Skills

Product ManagementData AnalyticsMachine LearningProduct Operations

Other Skills

Legal TechnologyArtificial Intelligence (AI)Application Programming Interfaces (API)Business ReviewsProduct RequirementsCommunicationKey Performance IndicatorsBusiness-to-Business (B2B)User Acceptance TestingUser RequirementsCreator EconomyAPI DevelopmentAnalytical SkillsUsability TestingSoftware Product Management

About

I build AI-powered creator and data platforms that streamline how content is produced, decided, and paid. At Audible (Amazon), I unified production, data, rights, and payments across 12 markets—cutting decisions to hours and audiobook time‑to‑market by ~50%. Previously in SaaS, I shipped global price‑intelligence products with measurable gains in ARR, NPS, and data reliability. Highlights: ML audience segmentation for greenlights; 750+ internal users; ~93% on‑time creator payments; RateGain ARR $3M → $4M in 3 qtrs; NPS −15 → +9. Location: SF/NYC preferred; open to relocation/remote Email: bharatgandhi.sf@gmail.com | www.bharatdevgandhi.com

Experience

4 yrs 9 mos
Total Experience
1 yr 6 mos
Average Tenure
--
Current Experience

Canvas ai

GTM, Sales, Product

Dec 2025Present · 5 mos · Remote

  • https://www.getsketch.ai
  • Building & Executing GTM for India and the US
  • Key contributor to product & business strategy

Amazon

2 roles

Product Manager Tech - content & creator systems

Promoted

Aug 2021Dec 2024 · 3 yrs 4 mos · New York, New York, United States · On-site

  • PM for Audible content & creators systems focused on Audible Originals and Audible Studios products
  • Modernized Audible Originals’ end-to-end content infrastructure (production, data, payments, rights) across 12 countries/9 languages, scaling to 750 active users (85% of the content org) and influencing a nine‑figure portfolio.
  • Built the data backbone: standardized 200 attributes and integrated core systems to compress greenlight and production decision cycles from 2 weeks to 2 hours; converted 1,800 first‑party manuscripts into titles year over year (plus more via translations).
  • Cut time-to-market by 50% via a global production platform and global rollout; launched AI-driven listener segmentation to guide greenlights and spend at millions‑of‑listeners scale.
  • Overhauled creator/vendor payments for 36,000 vendors in 12 countries (eight figures/month, nine figures/year), reducing manual intervention from 53% to 7% and raising on-time to ~93%.
  • Enabled rights and sales workflows that supported third‑party IP monetization and eight‑figure GMV with marquee partners; owned 1YP/3YP roadmaps and led a cross‑functional network (20+ operators, 70+ producers, 6 engineers, 1 TPM, 1 data scientist, 1 designer).
  • Promoted to Product Manager, Tech in 2022.
Legal TechnologyArtificial Intelligence (AI)Application Programming Interfaces (API)Business ReviewsProduct RequirementsData Analytics+11

AI Product Manager

Jun 2020Dec 2020 · 6 mos · New York, New York, United States

  • AI Product Manager (full-time contract; began as summer internship), NYC — owned the Listener Intelligence Platform for ML segmentation, forecasting, and decision intelligence in US content investments.
  • Distilled 300+ behavioral/performance signals into 33+ audience segments, enabling demand forecasts, talent valuation, and portfolio risk/opportunity sizing.
  • Achieved 70% adoption of platform metrics/recommendations in weekly greenlight forums across 75 producers and leadership (FP&A, Content Strategy, CCO), guiding multi-million-dollar decisions.
  • Shipped insights dashboard and prototype; partnered with DS/Eng/UX to evaluate downstream customer engagement over a 6-month horizon; prioritized value-driven roadmap and GTM.
  • Ensured privacy-by-design (GDPR/CCPA) with PII handling; led vendor build-vs-buy and cross-functional alignment; established expansion plans for UK/CA and other English-speaking markets, followed by EU4.
Machine LearningUser RequirementsAnalytical Skills

Cornell tech

Graduate Assistant

Jan 2020Jun 2020 · 5 mos · Greater New York City Area

  • TA for TECH 5200: Product Management serving ~100 MBA, CS, and IS students; collaborated with Josh Hartman.
  • Held office hours and graded assignments; implemented faster, standardized grading to improve turnaround and consistency.
CommunicationProduct Operations

Rategain

2 roles

Product Manager

Jun 2018Jun 2019 · 1 yr · United States

  • Led product for Optima (hotel price intelligence) and the Hotel Rate Scraping Engine serving 3,000 hotels/OTAs across 100 countries (10,000+ users); scaled data coverage to 1.6M SKUs across 550+ sites daily.
  • Grew product ARR from $3M to $4M in 3 quarters (+40%) via upsell and new business driven by feature launches and market expansions (LATAM, DACH).
  • Lifted NPS from -15 to +9 in 3 quarters by improving data reliability and user trust; presented monthly and quarterly business reviews to CEO/CRO.
  • Launched dataSURE, increasing data sufficiency from 94% to 98% — unlocking hundreds of thousands of incremental daily datapoints and materially improving decision confidence for revenue managers.
  • Introduced Geo Shopping as an upsell feature; opened new customer logos in Dubai and Thailand through localization and targeted GTM.
  • Coined and executed “Market Drone” — a trigger-based competitor rate alerting capability (industry-first) that enabled instant price-change notifications and supported competitive win-backs, including a Top 10 global hotel chain.
  • Drove cross-functional execution with Engineering (9) and Design (3) in a daily cadence; partnered with CS, Sales, Product Marketing, Data Science, and Research on launches, enablement, and adoption.
  • Consolidated legacy FTP/XML feeds, sunsetting unmaintained systems to reduce tech debt and improve platform stability.
Application Programming Interfaces (API)Agile MethodologiesProduct VisionCommunicationKey Performance IndicatorsBusiness-to-Business (B2B)+13

Intern - Product Manager

Feb 2017Jun 2017 · 4 mos · United States

  • Responsible for complete 0-to-1 product launch in India and Europe markets, enabling ~10% incremental revenue per route for airline customers and establishing product-market fit.
  • Aided Transition of “PG-Air” data service to into AirGain a SaaS product, a price intelligence tool for airlines
  • Built 5 wireframes including data dashboards, UI elements for initial product roadmap
  • Developed and modeled of travel data trends for upcoming products using R programming and regression techniques aimed at improving insight & classification of traveller data.
User RequirementsR (Programming Language)TableauMySQLData Scraping

Education

Cornell University

Master of Science - MS — Information Systems

Jan 2019Jan 2021

Cornell Tech

Master of Science - MS — Connective Media

Jan 2019Jan 2021

Manipal University Jaipur

Bachelor of Technology (B.Tech.) — Computer Science

Jan 2013Jan 2017

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