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Technical Lead Manager

Point Digital Finance · United States

remotesenior$234,650–$259,350Posted Sep 11, 2026

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About this role

## About Point **✨ Real Impact, Real People:** Our mission at Point is to make homeownership more valuable and accessible. Your work helps homeowners access their wealth, achieve financial flexibility, and realize life-changing goals. **✨ Funding:** With over **$175M** raised from top investors (Andreessen Horowitz, WestCap, Greylock, Prudential), we’re scaling fast—and you can join at a pivotal stage. **✨ Game-changing Product:** We’re building a category-defining company in home equity. We’ve earned a **4.7 Trustpilot rating** and an **A+ from the BBB**, reflecting the value we provide to our **20,000+ customers**. **✨ Great Place to Work:** Certified Great Place to Work and named a **Fortune Best Workplaces in the Bay Area**. **✨ Remote First Culture, Genuine Connection:** Work from anywhere in the U.S. while staying closely connected through virtual collaboration, team gatherings, and a people-first culture. **Local or 100% Remote** --- ## About the role AI is reshaping how we serve homeowners at Point—from **voice agents** to **email, chat, and SMS agents** that enable self-service at scale. We’re hiring a **Technical Lead Manager** to lead the team building them. You’ll run a small, senior team, stay hands-on in the code, set technical direction, and work closely with **Product, Ops, and CX**. If you want to ship applied AI that customers directly interact with, this is the role. --- ## Your responsibilities - Define the **AI technical strategy** for CX, including evaluating and selecting frameworks, platforms, and vendor solutions. - Own the technical roadmap for Point’s **AI-powered customer experience** (voice, email, chat, SMS) handling real homeowner interactions. - Write code alongside your team: review PRs, prototype new agent capabilities, and debug production issues. - Partner with **Product, CX, and Ops** to identify where AI agents can replace or augment manual workflows—and ship improvements. - Establish success metrics for agent performance and use data to prioritize the roadmap. - Design reliable agent architectures (orchestration, tool use, guardrails, fallback handling) that work at production scale. - Lead and grow a small, senior engineering team: set high expectations, remove blockers, and create space for deep work. - Drive **observability and reliability** across production systems.

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