Job at a glance
About Point ✨ Real Impact, Real People: Our mission at Point is to make homeownership more valuable and accessible. Your work directly helps homeowners access their wealth, achieve financial flexibility, and realize life changing goals. ✨ Funding: With over $175M raised from top investors like Andreessen Horowitz, WestCap, Greylock, and Prudential, we’re scaling fast! You have the opportunity to join us 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, a testament to the value we provide to our 20,000+ customers. ✨ Great Place to Work: Our employees love working here! We are a Certified Great Place to Work and 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.
Location This is a hybrid role based in Palo Alto, with team members expected to work onsite one day per week for in-person collaboration. About the role Point is standing up a new AI Enablement function, and this dual-mandate leader will own it alongside our DevOps and platform practice. You will run the reliability, delivery, and cloud foundations a lending business depends on, while building the central hub that partners with our corporate functions (HR, Legal, Compliance, Accounting, Finance) and our Operations team (underwriters, processors, closers) to automate and augment their work with AI.
Working in close partnership with IT and Security, you will set the technical direction, drive adoption, and define what success looks like across both mandates. It is a rare opportunity to shape how an entire company applies AI to its everyday work, from the platform up. Check out our latest Engineering Blog to learn more about why it's a great time to join Point's Engineering team! Your responsibilities Lead the infrastructure platform and shared-services organization, and drive key initiatives across the SRE and infrastructure functions.
Own reliability, CI/CD, infrastructure-as-code (Terraform), cloud platforms (AWS, GCP, Azure), containerization (Docker, Kubernetes), release tooling, and observability, including incident management and security and compliance (SOC 2). Stand up and run AI Enablement as the central hub: the sanctioned platform, guardrails, reusable components, and the harder builds. Partner with corporate functions and Operations to identify high-value workflows and design agentic AI solutions (LLM-based agents, tool calling, RAG, orchestration, and n8n / Zapier / custom integrations).
Partner closely with IT and Security to keep enablement safe and compliant, including sanctioned tooling, access, and data-handling boundaries for sensitive and regulated functions. Drive adoption of what the team ships: define success metrics, baseline before building, and measure impact such as capacity reclaimed, cycle time, cost per loan, and stickiness. Define multi-quarter roadmaps tied to measurable business outcomes.
Stay current on AI and automation advances, and pivot the roadmap based on user feedback and new technical capabilities. Set technical and quality standards through architecture guidance and review. About you 10+ years in DevOps, platform, SRE, or infrastructure engineering, with strong technical depth. 3+ years leading and growing engineering teams, including hiring, mentoring, and performance management.
Demonstrated experience shipping AI automations to production, including LLM agents, tool calling, RAG, and workflow orchestration. A track record of tying automation or platform work to quantifiable business outcomes. Production proficiency with infrastructure-as-code (Terraform), CI/CD, containerization (Docker, Kubernetes), and at least one major cloud (AWS, GCP, or Azure). Strong observ