Sr. Manager, DevOps and AI Enablement
About this role
Point Digital Finance is building a category-defining category in home equity and modernizing a lending platform to make homeownership more accessible. This leadership position owns both the core infrastructure practice and a newly formed AI Enablement function, managing the reliability, delivery, and cloud foundations required for a regulated financial business. The incoming leader will build the central hub that partners directly with corporate functions and operations teams to automate complex workflows using modern agentic solutions and LLM-based architectures.
This dual-mandate role exists to shape how the entire organization applies automation and AI to everyday financial processes, operating at the intersection of platform engineering and business enablement. A strong candidate brings extensive infrastructure leadership alongside demonstrated success in deploying production-grade AI automations, balancing technical rigor with the cross-functional communication needed to earn trust across legal, compliance, and finance teams.
What you will do
- Lead the infrastructure platform and shared-services organization while driving key initiatives across SRE and platform functions.
- Manage system reliability, CI/CD pipelines, Terraform-based infrastructure-as-code, multi-cloud platforms, containerization, and SOC 2 compliance.
- Stand up and operate the AI Enablement hub, establishing sanctioned platforms, guardrails, and reusable technical components.
- Partner with corporate functions and operations to design and deploy agentic AI solutions, including LLM agents, tool calling, RAG, and workflow orchestration.
- Collaborate with IT and Security to maintain safe data-handling boundaries and appropriate access controls for sensitive operations.
- Drive adoption of shipped tools by defining success metrics, establishing baselines, and measuring impact on cycle times and loan costs.
- Define multi-quarter technical roadmaps aligned with measurable business outcomes and adapt based on user feedback.
- Set architectural standards and review engineering and automation work using technical fluency in languages like Python.
What you need
- Over 10 years of experience in DevOps, platform, SRE, or infrastructure engineering with strong technical depth.
- At least 3 years of experience leading and growing engineering teams, encompassing hiring, mentoring, and performance management.
- Demonstrated track record of shipping AI automations to production, including LLM agents, tool calling, RAG, and workflow orchestration.
- Proven ability to tie infrastructure and automation work to quantifiable business outcomes.
- Production proficiency with infrastructure-as-code tools like Terraform, CI/CD, containerization via Docker and Kubernetes, and at least one major cloud platform.
- Strong background in observability and incident management using tools such as Grafana, Datadog, New Relic, or PagerDuty.
- Technical fluency to guide and review engineering work in languages like Python.
- Excellent cross-functional communication skills with the ability to collaborate effectively with non-engineering stakeholders.
Nice to have
- Built a new function or team from zero in a high-growth, high-ambiguity environment.
- Fintech or other regulated-industry experience, including familiarity with PII handling and SOC 2.
- Process-improvement or RPA partnership experience.
- Lending or mortgage operations domain knowledge.
Benefits
- Comprehensive medical, dental, and vision plans with FSA and HSA options.
- Unlimited paid time off and 10 company holidays.
- Fully paid parental leave, including transition time with flexible hours.
- Meaningful equity ownership.
- 401K retirement plans, guaranteed life insurance, and disability coverage.
- Monthly stipends for internet, mobile, and wellness, plus home office reimbursement and company hardware.
Skills and tech stack
Questions candidates ask
What is the remote work policy for this role?
Point operates on a remote-first culture allowing employees to work from anywhere in the U.S. However, this is a hybrid role based in Palo Alto where team members are expected to work onsite one day per week for in-person collaboration.
What is the expected compensation for this position?
The expected annual base salary for this role in the San Francisco Bay Area ranges from $269,800 to $298,200. Final compensation is determined by skills, experience, geographic location, interview signals, and other job-related factors, and does not include additional components like equity and benefits.
What technologies and systems will I be working with?
You will work with infrastructure tools like Terraform, Docker, Kubernetes, and major cloud platforms including AWS, GCP, or Azure. The role also involves AI and automation tech such as LLM-based agents, RAG, workflow orchestration, and integration tools like n8n and Zapier.
What teams will I be partnering with across the business?
You will partner closely with corporate functions including HR, Legal, Compliance, Accounting, and Finance, as well as Operations teams like underwriters, processors, and closers. You will also work in close partnership with IT and Security teams.
The application is on the official Point Digital Finance, Inc. careers page.
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