# Geetansh Kakkar > GTM Engineer · Building AI agents that generate revenue · Clay · Claude · OpenAI · n8n · HubSpot Location: San Francisco Bay Area, United States Profile: https://flows.cv/geetansh I build agentic infrastructure for GTM teams that scales! Signal monitoring. Intent-based targeting. AI agents that research, personalize, and sequence automatically. The output isn't activity. It's revenue. The pipeline that was never cold to begin with, closing faster and at higher price because the timing was right. I've engineered GTM systems that have driven $27M+ in revenue impact — not by adding headcount, but by making the existing motion unfair. - An autonomous outbound engine that tested 50+ segments, doubled down on winners, and drove $1.3M in new ARR in 6 months while cutting CAC by 42%. - A GTM intelligence layer connecting CRM, product usage, and marketing data to auto-surface buying signals. Sign-ups up 138%. Pipeline leakage cut 41%. $2.1M in incremental ARR. - A network of AI agents acting as functional GTM teammates — eliminated 8,000+ team hours annually and contributed $5M+ in pipeline. What does my day-to-day look like: Building agents. Managing agents. Stack I regularly build on: Clay · n8n · HubSpot · AI Agents (Claude, GPT) · Instantly · Hey Reach Open to Lead GTM Engineer roles at Seed–Series C companies. ## Work Experience ### GTM Engineer @ Highlight Jan 2025 – Present ### Ambassador @ Winning by Design Jan 2024 – Present ### Executive Member @ Pavilion Jan 2023 – Jan 2026 | Toronto, ON ### GTM Engineering Lead @ Terminal49 Jan 2025 – Jan 2025 ### GTM Engineer @ EQ Bank | Equitable Bank Jan 2024 – Jan 2025 ### Director of Revenue Operations and GTM Engineering @ Athennian Jan 2023 – Jan 2024 ### Sr. GTM Engineering Manager @ Athennian Jan 2022 – Jan 2023 | Toronto, ON ### Revenue Operations Manager @ Athennian Jan 2021 – Jan 2022 | Toronto, Ontario, Canada - Helping improve revenue predictability at Athennian (forecast accuracy 90%+). - Delivering key insights and recommendations for process improvement backed by data. Helped improve metrics spanning the entire customer buying cycle: win rate, sales velocity, ROI of marketing channels, forecasting expansion and churn, average contract value etc. ### Revenue Enablement @ Athennian Jan 2019 – Jan 2021 | Toronto, Ontario, Canada - Driving data-driven practices and insights to guide future OKRs and strategies. - Aligning different teams' expectations through standardized, scalable processes. - Introducing metric-driven thinking throughout the company. ### Advisor, Consultant @ DigiAccel.com Jan 2018 – Jan 2020 | Toronto - Introducing data-driven decision making to help prioritize scalable business strategies. - Helping identify new features contributing to increase in average contract value. ### MBA Intern @ Oracle Jan 2018 – Jan 2018 | Toronto, Canada Area - Conceptualized a blockchain enabled VAT refund program that delivers fully integrated and secure VAT redemption to incentivize non-EU tourism into Spain. - Overall responsibilities included strategic alignment between multiple stakeholders and building a revenue roadmap. - Won the IE Oracle Blockchain Challenge (90+ students). ### Associate, Operations @ CAVCOE (Canadian Automated Vehicles Centre of Excellence) Jan 2013 – Jan 2017 | Vancouver, Canada Area - Helped increase clients in Canadian self-driving car ecosystem - from less than 10 organizations to 70+ in 4 years. - As Strategy & Operations Consultant for leading taxi company, conducted market research, analyzed data sets and presented data-driven recommendations to the client. Managed cross-functional teams (100+ people) in 4 more projects and increased the client’s market share by 23% over the course of projects. - Helped raise money for research work and pilot projects in Canada. - Youngest member in the team of 10. ### Co-Founder @ WeGo Ridesharing Jan 2013 – Jan 2017 | Vancouver, Canada Area - WeGo Ridesharing helped connect like-minded people heading to an event and provide information comparison on all possible commute comparisons for their ride together. - Responsible for implementing Google Ads campaigns (Search Ads and Mobile Ads), optimizing campaigns, measuring progress, analyzing results and taking data-driven decisions for business growth - Ensured customer count and customer retention rate increased every month for 16 consecutive months. - Tools used regularly - Google Ads, Google Analytics, Google Ad Manager, MS Excel, PowerPoint, Tableau, SQL. - Gained experience in creating vision and goals of the product, testing hypothesis, designing the product requirements in customer-facing setting, tracking metrics using Agile methodology and managing stakeholders at all levels. - As member of city’s entrepreneur community, managed Google Ads campaigns for 20+ organizations. ### Consultant @ Sauder School of Business at UBC Jan 2014 – Jan 2016 | Vancouver, Canada Area - Research work on autonomous vehicles, connected vehicles and convergence of these two technologies to enable highly useful applications in the transportation industry. - Developed a model for technology-assisted commercial vehicle inspections that helps increase inspection efficiency by 30%; model is currently being used by British Columbia Ministry of Transportation to determine benefit-costs for implementing different kinds of technologies at stations across the province; received Best Paper Award by Canadian Transportation Research Forum (2016). ### Internship @ Kimley-Horn and Associates, Inc. Jan 2012 – Jan 2012 | New Delhi Area, India - Assisted the Kimley-Horn team in their ITS (Intelligent Transportation Systems) India operations. ### Summer Intern @ TU Delft Jan 2010 – Jan 2010 | Delft Area, Netherlands ### Summer Intern @ Aircel Jan 2009 – Jan 2009 | New Delhi Area, India ## Education ### B.Tech. in Engineering Physics Indian Institute of Technology, Guwahati ### Master of Science (M.Sc.) in Physics The University of British Columbia ### Master of Business Administration - MBA IE Business School ## Contact & Social - LinkedIn: https://linkedin.com/in/geetansh-kakkar --- Source: https://flows.cv/geetansh JSON Resume: https://flows.cv/geetansh/resume.json Last updated: 2026-04-10