Joel Lang
MLOps & AI for revenue teams. 15 yrs Enterprise SaaS, $350M+ closed. I build ML pipelines to turn CRM data into predictive deal intelligence. Google MLOps | MIT Stats | MS Information Science
Ambient.aiAbout
GTM Engineer and Revenue Systems Architect with 15+ years of experience designing, building, and scaling go-to-market infrastructure for B2B SaaS companies. Deep expertise at the intersection of RevOps, CRM architecture, AI/MLops, and modern data stacks. Proven ability to engineer revenue systems that automate decision-making, improve pipeline efficiency, and operationalize AI across Marketing, Sales, and Customer Success. Currently completing 18-month MIT Post-Graduate Degree in Statistics and Data Science.GTM ENGINEERING CORE SKILLS• GTM Systems Engineering & Revenue Architecture• RevOps (Pipeline, Attribution, Forecasting, Lifecycle Automation)• HubSpot & Salesforce Platform Engineering• AI Agents, LLMOps, Prompt Engineering, RAG Systems• SQL & Python Analytics, Feature Engineering• Modern Data Stack (Snowflake, dbt, Fivetran, Airflow)• API Integrations, Workflow Automation, MCP Integration
Company history
- Ambient.aiSr. GTM Engineer2026-02 – 2026-06 · 4 mo
- VeriskDirector of Revenue OperationsRevOps2019-08 – 2020-01 · 5 mo
- Experian Consumer ServicesStrategic Sales & Operations Leader2011-05 – 2017-05 · 6y
- ShipEngineSenior API Sales Manager2018-08 – 2019-09 · 1y 1mo
- PriorOdds.AIFractional GTM Engineer & Revenue Systems Architect2023-01 – 2026-03 · 3y 2mo
- SpyCloudSenior Sales Operations Director2021-03 – 2022-01 · 10 mo
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