Atish Das Sarma — Co-Founder

Atish Das Sarma is an experienced leader with decades of experience working with data. He brings experience founding, growing, and managing organizations that bring a focus on machine learning, data science, and data-driven software engineering. Atish has a demonstrated ability to hire & retain world-class talent and deliver significant impact to key business metrics through lean organizations. Atish's industry experience includes founding and growing the Apple Cloud Machine Learning organization (responsible for ML, Experimentation, iCloud Subscriptions Optimization, and several other efforts), previously leading end-to-end optimization for Twitter's Revenue organization (Video Ads optimization, Mobile Ad Exchange optimization, among others), and prior experience founding a startup that was acquihired by Twitter, and work at eBay & Google Research. Atish currently leads the Growth Engineering organization at Patreon that he founded and helped grow to a multiple full-stack vertical and horizontal teams responsible for critical user journeys and product surfaces. These teams are directly accountable for accelerating some of the most critical company business metrics. Atish has over 40 research publications and a dozen patents. Some of his early work has featured in various media outlets (Huffington Post, Techcrunch, Yahoo News, MIT Technology Review, New Scientist, The Verge, BBC, Wired, Time, Gizmodo, NPR), and he has numerous recognitions including best paper awards from PODS conference & Google, a Facebook award for upcoming startup, and service on various program committees and invitation to keynote talks. Fun facts: (1) Atish is a FIDE rated Master level chess player; (2) through his Math and CS collaborations, Atish has an Erdos number of 2.

Stackforce AI infers this person is a SaaS and Cloud Services expert with a strong focus on machine learning and data optimization.

Location: Los Altos, California, United States

Experience: 17 yrs 11 mos

Skills

Growth Engineering
Machine Learning
Data Science

Career Highlights

Founder of multiple successful tech organizations.
Expert in machine learning and data-driven decision making.
Proven track record in optimizing business metrics.

Work Experience

Aida

Co-Founder (2 yrs 1 mo)

Patreon

Head of Growth Engineering (2 yrs 2 mos)

Apple

Head of AI, Apple Cloud Services (4 yrs 3 mos)

Twitter

Data Science at Twitter (1 yr 6 mos)

DeepSie

Co-Founder (9 mos)

eBay

Staff Research Scientist (3 yrs)

Google

Research Scientist (1 yr 7 mos)

Yahoo!

Research Intern (3 mos)

Shout Velocity

Co-founder (2 yrs)

Microsoft

Research Intern (3 mos)

Education

PhD at Georgia Institute of Technology

B.Tech. + M.Tech. at Indian Institute of Technology, Bombay

Atish Das Sarma

Co-Founder

Los Altos, California, United States17 yrs 11 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Founder of multiple successful tech organizations.
Expert in machine learning and data-driven decision making.
Proven track record in optimizing business metrics.

Stackforce AI infers this person is a SaaS and Cloud Services expert with a strong focus on machine learning and data optimization.

Contact

atishdassarma@gmail.com LinkedIn

Skills

Core Skills

Growth EngineeringMachine LearningData Science

Other Skills

AlgorithmsBig DataComputer ScienceCustomer Experience OptimizationData AnalysisData MiningData-Driven Decision MakingDistributed SystemsExperimentationHadoopInformation RetrievalMapReduceNoSQLOptimizationPayment Management

About

Experience

Aida

Co-Founder

Feb 2024 – Present · 2 yrs 1 mo · San Francisco Bay Area · On-site

AIDA is the AI Chief of Staff built for revenue teams. We capture every commitment across email, CRM, calls, and Slack, surfacing the right next step, prepping reps with the context they need, and flagging risks before they derail your forecast.

Patreon

Head of Growth Engineering

Nov 2021 – Jan 2024 · 2 yrs 2 mos · San Francisco Bay Area

I joined Patreon to build the Growth team and we’ve grown from nothing to a substantial cross-functional org accountable for critical company-wide business outcomes. I helped drive our transformation to a rigorous hypothesis-driven experimentation culture with a broad portfolio of big initiatives and iterative efforts. I currently support the Growth Engineering org (SF, NY, Seattle) comprised of full-stack vertical and horizontal teams:
Member Acquisition:
Promotion & Sharing (on and off platform, previews, teasers, setting up the growth flywheel)
Search, Browse and other recommendations/discovery style efforts that drive users towards high-intent to convert
Creator Pages: surfaces analogous to feeds as being the highest traffic, high conversion surfaces
Member Conversion:
Login, Signup
Checkout
Free trials and other efforts to lower the barrier to entry for the subscriptions business.
Reconsideration
Retention:
Member onboarding experience
Creator/Member interaction
Back catalog
Involuntary churn / payment management
Mobile App Adoption
Creator Growth:
Creator Onboarding journeys
Funnel optimization across paid membership and new products
Scaled Outreach via building foundation TAM management, marketing pages, Attribution
Growth marketing / upper funnel acquisition (early stage investments in SEO, Perf Marketing)
Growth Foundations:
Experimentation Platform & overall A/B testing
Emails & Notifications and communication channels (infra and as levers for vertical growth)
In-app notifications
I’m passionate about building high-caliber organizations that drive impact quarter after quarter, year after year. Please reach out if you love working on high-impact projects, taking direct accountability for key business metrics, passionate about augmenting data rigor with deep production intuition.

Machine LearningData-Driven Decision MakingExperimentationGrowth Engineering

Apple

Head of AI, Apple Cloud Services

Aug 2017 – Nov 2021 · 4 yrs 3 mos · San Francisco Bay Area

I manage teams of Machine Learning Engineers, Data Scientists, and Software Engineers. My organization is responsible for driving machine learning, experimentation, and other data initiatives across Apple Cloud Services. Our work is broadly divided into three categories of investments: (1) platform offerings, (2) embedded end-to-end optimization & modeling partnership, and (3) data product innovation.
Under the platform umbrella, we are responsible for the overall ML ecosystem, and the experimentation platform to support multi-variate testing, and our organization also drives the rigor & methodology around metrics, experiment design, and causal inference.
Our end-to-end optimization and ML modeling partnership includes driving the iCloud subscriptions growth (in partnership with the business organization), enhancing the customer experience through efficient funnel optimization, and several other ongoing or exploratory efforts.
The data products initiatives include new innovative products and services that have machine learning as a core differentiator. My overall organization spans Cupertino, London, and Vancouver.
We are hiring (at all levels) machine learning engineers, data scientists, and data-driven software engineers who are passionate about building products from the ground-up to drive impact at scale. Feel free to reach out.

Machine LearningData ScienceExperimentationOptimization