Founding Scaled Customer Success Manager

This Customer Success Manager role drives product adoption and retention for Insider One's marketing and customer engagement platform. The manager builds relationships with customers, coordinates with onboarding, technical account management, and account management teams, and orchestrates efforts to maximize platform usage and impact.

This role leads the scaled customer success function within the Revenue organization, focusing on driving customer retention, adoption, and growth at scale for Leadfeeder's B2B go-to-market platform. The manager will oversee strategies and teams to ensure customers derive value from the platform's data and insights, contributing to revenue growth.

Manages a portfolio of strategic accounts for Outreach's Managed Services team, focusing on building customers' AI Agents beyond initial implementation. Drives adoption, configures the platform, troubleshoots issues, and grows Amplify credit and product consumption, working US hours from Hyderabad.

Manages a portfolio of enterprise accounts from onboarding through renewal, guiding customers who have typically migrated from two or three legacy tools through their critical first ninety days. Serves as the primary customer contact for ensuring migration success and long-term platform adoption.

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.

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.

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.