Shekhar Yadav

Co-Founder

San Francisco, California, United States27 yrs 2 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Expert in turning AI ambitions into shipped products.
  • Led product strategy for multiple successful ad tech solutions.
  • Experienced in building high-performing engineering teams.
Stackforce AI infers this person is a SaaS and Ad Tech expert with a strong focus on AI product strategy.

Contact

Skills

Core Skills

Product StrategyAi ImplementationVenture CapitalAd TechStartup Development

Other Skills

Product LaunchProduct DevelopmentProduct MarketingProduct DesignStart-upsEntrepreneurshipRoadmap DevelopmentSeed CapitalAngel InvestingAdserverDemand Side PlatformAd ExchangesOnline AdvertisingProduct ManagementIntegration

About

I help founders and enterprise teams turn AI ambition into shipped product—with a strategy and roadmap that still works once it hits production (data, security, compliance, teams, timelines). I’m a CTO + product strategist, leading 23 Ventures (https://23v.co, AI product studio) and Scalaix (https://scalaix.com). I work with organizations from early-stage to 50–500+ employees to go from business goal → AI opportunity → MVP → scalable platform. Teams bring me in when they need to: - Turn a business goal into an AI-ready product strategy + technology roadmap - Decide what to build vs. buy (and how to protect IP) - Define AI opportunities into MVP scope, PRDs, milestones, and delivery plans - Build or scale engineering/product orgs (10 → 200+, local or distributed) - Design innovation programs (labs, incubators, venture studios, startup partnerships) Where I’ve shipped AI agents • programmatic ad-tech (buy-side & sell-side) • privacy/consent-first data systems • big data platforms for email/CRM marketing • ML for drug discovery • consumer mobile. Selected outcomes - Launched an in-house programmatic ad buying platform for large brands - Built privacy-first user data infrastructure enabling consented first-party data - Built scalable email marketing software used by teams at Walmart and Schwab - Shipped 25+ iOS games/apps - Built and ran startup studios to drive innovation across company + partner ecosystems I also speak on AI product strategy and production delivery—panels, exec sessions, and conferences. I’ve spoken at universities and SXSW. If you’re looking for a speaker, feel free to reach out. If you’re leading an AI initiative and need a roadmap that holds up in production (data, security, compliance, delivery), email me at shekhar@23v.co with subject “AI Roadmap” and include: 1. The outcome you need (1 sentence) 2. The biggest risk/constraint (integration, governance, timeline, vendor, talent) I’ll reply with a one-page recommended approach (phases, key decisions, and first milestones). And if you want practical notes on shipping AI in production, follow me here on LinkedIn.

Experience

27 yrs 2 mos
Total Experience
4 yrs 5 mos
Average Tenure
16 yrs 7 mos
Current Experience

Brian timothy and associates llc

Advisor

Jan 2024Jan 2025 · 1 yr · Palo Alto, California, United States · Hybrid

  • I guide mid-market companies, helping them understand how to effectively use AI in their operations. My advice focuses on the acceleration and innovation of business outcomes, using AI as a tool to achieve these goals. I then work with these companies to identify areas in their business processes where AI can be implemented for maximum benefit. We help these companies leverage AI not just for short-term gains, but for long-term sustainability and growth. The goal is to ensure that these companies are not just keeping up with the trend of AI, but can use it to their advantage in a meaningful way.

23 ventures

Founder (CTO), 23 Ventures (AI Product Studio)

Nov 2022Present · 3 yrs 6 mos

  • Lead 23 Ventures, an AI product studio partnering with early-stage teams to turn AI opportunities into clear product strategy, prioritized roadmaps, and real execution plans.
  • Help founders and product leaders move from “AI idea” to “shipped product” by defining use cases, user experience implications, data requirements, and scalable architecture decisions.
  • Build and scale high-performing product and engineering teams (local or remote), including role definition, hiring plans, interview loops, and operating cadence.
  • Advise on technology and IP strategy, including build-vs-buy decisions, defensibility, and the foundations required for long-term product scale.
  • Bring cross-domain platform experience to AI implementation, including AI agents, privacy/consent-first data systems, programmatic ad-tech (buy-side and sell-side), and high-volume email/CRM workflows.
  • Design and launch innovation initiatives (innovation labs, corporate incubators/venture studios, startup partnership programs) to operationalize experimentation and new product bets.
Product LaunchProduct DevelopmentProduct MarketingProduct DesignStart-upsEntrepreneurship+2

Invisibly

2 roles

Strategic Advisor

Jun 2020Jul 2021 · 1 yr 1 mo

SVP Product & Engineering

Sep 2017Jun 2020 · 2 yrs 9 mos

  • re:inventing journalism, user engagement, money & Internet.
  • Developed product strategy and engineering roadmap for full-stack adtech solution - including a complete ad buying platform - campaign manager, ad targeting, pricing engine and ad server. We developed one of the industry first data exchange that paid users for user permission and contextual data.
  • Built native Ad formats and creative tool to help brands buy more engaging ads both on Invisibly network and on other inventory sources.
  • Built integration with Yahoo Gemini, Tradedesk and other media buying platforms to integrate demand into Invisibly publisher inventory (100+ large publishers including Meredith and Hearst sites). Invisibly was deployed at these publishers as a first choice adserver.
  • First party data platform to build contextual advertising stack for publishers.
  • Worked on pricing engine for valuing user attention and news engagement. (processing 100m+ daily event data).
  • Hired and built the engineering and product organization. (50+)
  • Media
  • https://www.bizjournals.com/stlouis/news/2017/12/06/invisibly-the-project-jim-mckelveys-been-working.html
AdserverDemand Side PlatformAd ExchangesOnline AdvertisingAd Tech

Parooz

Investor/Advisor

Jun 2016Jan 2017 · 7 mos · Los Angeles, California, United States

  • Re:think dating and making new connections. Our patent pending AI match engine helps users find potential matches based on interests, activities and thousands of other factors while still keeping it fun.

Rubicon project

3 roles

Executive Vice President

Promoted

Jan 2016Aug 2017 · 1 yr 7 mos

  • Re:think consumers, platform and adtech
  • Launched consumer preference tool "Project Awesome" that provided preferential ad-blocking in iOS app or browser plugin. Building largest ad dataset with deep information about consumer preferences.
  • Building integration via openRTB for largest buyers like Walmart to facilitate direct in-house DSP buying.
  • Worked on strategic acquisition diligence for increasing inventory base.
Team LeadershipAd TechHiringMergers & Acquisitions (M&A)Product Management

Senior Vice President

Apr 2014Jun 2016 · 2 yrs 2 mos

  • Built venture studio and investment arm of Rubicon Project.
Start-upsNew Business DevelopmentStartup DevelopmentInnovation Lab

Senior Vice President

Aug 2013Jan 2016 · 2 yrs 5 mos

  • re:imagine Online Ads
  • Launched industry's first managed bidder as a service for premium advertiser to help them manage in-house ad buying. (programmatic DSP)
  • Leading strategy and technology for Open Platform and APIs - building out partner and developer community, and responsible for App Marketplace. Facilitated integration of newer DSPs into Rubicon supply.
  • Built and managed corporate incubator to invest into new products/partners.

Til darling

Advisor

May 2012Jun 2015 · 3 yrs 1 mo · CA

  • TIL Darling is emerging boutique for casual women's clothing, advising the team on content monetization & technology strategy!

Shopience

Investor

Mar 2012Jan 2016 · 3 yrs 10 mos

  • Social shopping + personalized retail solution based on behavioral learning and social data. Shopience aggregates products from over 2500 stores and using AI segregates it into 15k+ categories to provide personalized wardrobe recommendations. With more than 500k social connections, Shopience is premium channel for e-commerce in 18-25 women fashion vertical.

Google

Lead Product Manager

Jun 2010Nov 2011 · 1 yr 5 mos · Mountain View, CA

  • Product manage Adplanner for Google Display, Mobile Ads products. The product was used by Tier-1 advertisers to do ad and media planning.
  • Worked with retargeting sales team to onboard larger customers with data analytics and extended ad planning data.
  • Provided one view to search, content and revenue data to internal and external stakeholders.
  • Provide analytics/data support to sales strategy and finance teams for demand forecasting, account optimization and customer acquisition.

Aadye investors

Partner

Oct 2009Present · 16 yrs 7 mos · San Francisco Bay Area

  • Active angel investor - investing in B2C and SAAS enterprise startups.
Venture CapitalSeed CapitalStart-upsAngel Investing

Strongmail systems inc

Chief Architect

Oct 2005Jun 2010 · 4 yrs 8 mos

  • Designed and built the email platform.
AdtechProduct ManagementProduct DesignAd Tech

Persistent systems pvt ltd

Technical Manager

Dec 1999Sep 2005 · 5 yrs 9 mos

  • Responsible for managing and growing multiple accounts through technical and business guidance.

Pmsi (csc subsidary)

Analyst

Oct 1998Aug 1999 · 10 mos

  • Design and deliver online insurance solutions for new markets.

Education

Columbia Business School

MBA — Strategy

Jan 2007Jan 2009

London Business School

MBA — Finance

Jan 2007Jan 2009

SATI Degree, Vidisha

BE — Computer Science

Jan 1994Jan 1998

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