- 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
- 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
Benefits
- Health Insurance: Point provides platinum-rated plans for medical (Anthem Blue Cross or Kaiser Permanente), dental and vision (The Standard). We cover 99% of employee premiums and 75% of dependent premiums
- Generous Vacation: Take time for yourself and your family when you want - Point has an unlimited vacation policy
- Continued Learning: We encourage all team members to attend events hosted by our investors, external workshops and conferences. We believe in continuous improvement and want to support employees on their professional journeys
- Family Friendly: Point will top off state applicable PFL earnings, as well as two weeks of fully paid leave to be available after exhaustion of state PFL. In addition, employees will receive 4 weeks: s of fully paid transition time. For the first consecutive four weeks after returning to work following parental leave, and following exhaustion of all other paid leave benefits, the employee may work part-time, meaning two or three days per week, and will receive 100% of regular base pay
- Work From Home Stipends: With employees working remote, Point will provide employees a $50 monthly cell phone stipend and a $50 monthly internet stipend. In addition, we will reimburse up to $150 to help you purchase supplies for your home office.remote, Point will provide employees a $50 monthly cell phone stipend and a $50 monthly internet stipend. In addition, we will reimburse up to $150 to help you purchase supplies for your home office
Excellent cross-functional communication, and the ability to earn trust with non-engineering stakeholders such as Legal, Compliance, Finance, and OperationsProduction proficiency with infrastructure-as-code (Terraform), CI/CD, containerization (Docker, Kubernetes), and at least one major cloud (AWS, GCP, or Azure)3+ years leading and growing engineering teams, including hiring, mentoring, and performance managementA track record of tying automation or platform work to quantifiable business outcomesDemonstrated experience shipping AI automations to production, including LLM agents, tool calling, RAG, and workflow orchestrationStrong observability and incident-management practice (Grafana, Datadog/NewRelic, or PagerDuty)10+ years in DevOps, platform, SRE, or infrastructure engineering, with strong technical depthTechnical fluency to guide and review engineering and automation work (for example Python or equivalent)Built a new function or team from zero in a high-growth, high-ambiguity environmentProcess-improvement or RPA partnership experienceFintech or other regulated-industry experience, and familiarity with PII handling and SOC 2Lending or mortgage operations domain knowledge