Ravi Srinivas Ranganathan

Director of Engineering

San Jose, California, United States15 yrs 2 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Led teams with billions in revenue impact.
  • Expert in building innovative ad tech solutions.
  • Strong focus on talent development and team performance.
Stackforce AI infers this person is a seasoned AdTech leader with deep expertise in engineering and team management.

Contact

Skills

Core Skills

Technical LeadershipDistributed SystemsAd TechProject ManagementGlobalization TechnologiesMarketing TechnologyGrowth EngineeringData Mining

Other Skills

Data AnalysisMachine LearningSoftware DevelopmentJavaJavaScriptC#DatabasesC++PythonDockerElasticSearchCassandraApache KafkaAngularJSLinux

About

Ravi Srinivas Ranganathan is a seasoned organizational leader and an engineer with a passion for building high-performance teams and solving complex, high impact business problems. He is currently a Director of Engineering at Netflix, building out their Ads Platform. In his role, he leads several teams of stunning leaders and engineers having been part of this effort right from day zero and now rapidly expanding it into a cutting-edge advertising ecosystem to become the preeminent destination for CTV ad dollars. With over nearly 15 years of experience in the tech industry, Ravi has worked across a number of domains of Growth and User Acquisition, Globalization, eCommerce and Online Search systems, Marketing Tech and both Buy and Sell-side Ad Tech. His advertising domain knowledge runs deepest and he worked across the OpenWeb, Mobile and Walled Garden eras of advertising and is now excited to be part of the CTV journey. He has a keen eye for fostering talent, driving innovation, and consistently delivering key outcomes. His teams have had $X billions in revenue impact and consistently rank highly in having high trust, candor and a drive for excellence. As an engineer, his core strengths are in distributed systems but has also worked in data engineering, data science and machine learning, product development. His top 5 strengthsfinder attributes that show up in his business leadership : Strategic, Individualization, Ideation, Context and Intellection. His insights profile is a “Reforming Director”. He holds a Masters Degree in Computer Science and a Bachelor of Technology in Instrumentation and Control Systems. Outside of work, Ravi is passionate about reading, learning new languages, heading outdoors and testing his culinary skills on adventurous and unwitting participants.

Experience

15 yrs 2 mos
Total Experience
5 yrs 1 mo
Average Tenure
11 yrs 11 mos
Current Experience

Netflix

5 roles

Director of Engineering

Promoted

Mar 2024Present · 2 yrs 2 mos · San Francisco Bay Area

  • Ads Platform
  • Continuing to build a huge variety of things in our Publisher ad-tech ecosystem!
Technical LeadershipDistributed SystemsProject Management

Senior Engineering Manager

Apr 2022Feb 2024 · 1 yr 10 mos · San Francisco Bay Area

  • Ads Platform
  • We delivered Netflix's ad supported tier from an idea to a launched product in <6 months in partnership with Microsoft / Xandr.
  • Solved a variety of challenges ranging from building and scaling resilient ad serving systems, enabling ad ingestion and policy, ad encoding and distribution, demand mediation, developing ad formats, programmatic integrations, measurement and verification partnership with DV, IAS, Nielsen etc.
Ad TechProject ManagementData Analysis

Engineering Manager

Nov 2021Jun 2022 · 7 mos · San Francisco Bay Area

  • Globalization Technologies
  • Built solutions that helped develop editorial content, seamlessly globalize Netflix external, internal properties, scale subtitling, dubbing and drive amazing innovation in the space.
Globalization TechnologiesProject Management

Engineering Manager

Promoted

Apr 2017Nov 2021 · 4 yrs 7 mos · San Francisco Bay Area

  • Ads and Marketing Technology
  • Built and led the teams that developed Netflix’s ads and marketing technology. We powered user acquisition, programmatic and social marketing, global marketing asset production and distribution.
  • Performance Advertising : We worked on some of the most cutting edge and innovative technologies in the space. Our work in ad tech led to the development and proliferation of causal inference and incrementality based measurement and optimization of ad campaigns in the industry at large. ML based systems managed budgets in the $100 millions order of magnitude and drove positive ROAS.
  • Creative Production and Distribution : Automated creation and distribution of image, video and other social creatives that could scale for the ever growing Netflix content catalog. Powered creative experimentation at massive scales (Order of 100,000s per year) and worked in tandem with the performance advertising systems to drive ROAS while elevating Netflix's brand.
  • Marketing Technology : Optimize media allocation, built technology that allows Netflix to operationalize a broad and global social media presence while preserving incredible authenticity.
Ad TechMarketing TechnologyMachine Learning

Senior Software Engineer

May 2014Apr 2017 · 2 yrs 11 mos · San Francisco Bay Area

  • Ad Tech (~2 years) and Growth Engineering (~1 year)
  • Architected and grew a variety of Ad Tech systems from scratch - Ad Servers, Bidders, Personalization Systems, Creative Production, Budget Management and Campaign Automation and Orchestration systems.
  • Prior to that, I architected Netflix’s growth engineering systems that powered signups across all devices while enabling innovation and experimentation in the signup funnel.
Ad TechGrowth EngineeringSoftware Development

Microsoft

2 roles

Software Development Engineer

Jan 2012May 2014 · 2 yrs 4 mos · Greater Seattle Area

  • Bing - Applications Platform (~ 1 year) and Data Mining (~ 1.5 years)
  • Built a high scale, high throughput insights and metrics collection system offering near real-time data even when faced with high dimensionality.
  • Worked on Bing’s middle tier systems and application platform that powered all online search.
  • Worked on the data mining team and unlocked insights by processing peta-byte scale data using MSFT’s proprietary big data solutions. Developed a key data analysis model and implemented it at scale, which had enormous impact in analyzing search performance and driving organization wide optimization.
Data MiningSoftware Development

Software Development Engineer Intern

Jun 2011Sep 2011 · 3 mos · Bellevue, Washington

Ucla

Webmaster at Scholarship Resource Center

Jan 2011Dec 2011 · 11 mos · Greater Los Angeles Area

Education

UCLA

MS — Computer Science

National Institute of Technology, Tiruchirappalli

B. Tech — Instrumentation and Control Engineering

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