Enablement Program Manager

This role leads go-to-market enablement for Outreach, developing and executing training programs for sales and customer-facing teams. The Senior Manager will equip the GTM organization with the knowledge and skills to effectively sell and support the Outreach platform.

This Enablement Platforms Program Manager owns UiPath's internal enablement platforms, translating business needs into a platform vision and driving AI-enabled learning experiences for GTM teams. The role involves discovery, product ownership, and optimization, partnering with engineering and enablement to improve seller productivity.

The Manager of GTM Operations and Enablement will optimize go-to-market processes and enable sales teams with the right tools and training. This role focuses on operational excellence and team enablement.

This enablement manager designs and delivers training programs to equip Xumo's sales and client teams with product knowledge and sales skills. The primary challenge is ensuring scalable, effective knowledge transfer that directly impacts sales performance and client communication.

Owns end-to-end product surfaces with a significant focus on the new Digital Twins/Simulations Lab, a 0-to-1 product. Translates complex technical systems (models, data pipelines) into intuitive, trustworthy experiences for researchers. Works closely with founders, scientists, and engineering, using modern AI design tools like Codex and Claude Design alongside Figma.

Combines analysis with automation, using AI tools as a core part of the workflow to turn Outset's internal data into decisions faster. Answers recurring business questions across GTM, People, Product, and Engineering using SQL and Python, and builds small internal tools like scripts, Slack bots, and dashboards to eliminate manual reports. Requires 3+ years of experience, fluency in SQL/Python, and a builder's instinct for automating processes.

This Research Scientist role designs and runs studies to measure and improve the fidelity of Outset's digital twin AI systems, comparing their responses to real human behavior. The scientist will co-design experiments, develop performance metrics, oversee human rating studies, and apply advanced statistical techniques from survey methodology and computational social science. The role requires a PhD in a related field and involves co-authoring papers and specifying analyses for engineering implementation.