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Point

Sr. Manager, DevOps and AI Enablement

Point is hiring a Sr. Manager, DevOps and AI Enablement in San Francisco, United States. It pays $270k-$298k a year and Level rates it ; you can apply on Point.

Level's read on this job

  • On Level's scale, this role is Works on AI ●●●○: the daily work is on AI products, without building the model.
  • The posting allows some remote work.
  • Tools and skills the posting cites include Zapier AI, N8n and Terraform.
  • Level classifies it as a lead role.
  • Level lists 13 other open roles at Point.

AI in this role

Lead infrastructure platform, DevOps, and a new AI enablement function to automate corporate and operations workflows.

zapier-ain8nterraformawsgcpazuredockerkubernetes
ragai-agentsdevopsinfrastructuresreai-enablementci-cd

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. Select roles may require onsite work at our Palo Alto office one day per week.

 

 

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 observability and incident-management practice (Grafana, Datadog/NewRelic, or PagerDuty).
  • Technical fluency to guide and review engineering and automation work (for example Python or equivalent).
  • Excellent cross-functional communication, and the ability to earn trust with non-engineering stakeholders such as Legal, Compliance, Finance, and Operations.

Nice to have

  • Built a new function or team from zero in a high-growth, high-ambiguity environment.
  • Fintech or other regulated-industry experience, and familiarity with PII handling and SOC 2.
  • Process-improvement or RPA partnership experience.
  • Lending or mortgage operations domain knowledge.

 

Compensation at Point will be determined by skills, experience, and geographic location. Point has identified the expected annual base salary for this role in the San Francisco Bay Area | $269,800 - $298,200

This does not include any other potential components of the compensation package, including equity, benefits, and perks outlined above. At the launch of each position, we benchmark compensation to the appropriate role and level utilizing competitive compensation data from various data sources as references. At the offer stage, we use the signal we received from our interviews, coupled with your experience, location, and other job-related factors, to determine final compensation.

Our benefits

  • Generous health benefits: We provide comprehensive medical, dental, and vision plans with options for flexible spending accounts (FSA) and health savings accounts (HSA).

  • Unlimited paid time off: Recharge with unlimited paid time off and 10 company holidays.

  • Flexible remote and onsite work: Our teams work from many different locations and time zones. We support fully remote work and also have an amazing in-person environment in our downtown Palo Alto, CA HQ.

  • Fully paid parental leave: Point will supplement state Paid Family Leave (PFL) so employees receive 100% of their regular base pay, plus two additional weeks of fully paid leave after state PFL ends. In states without PFL, Point offers up to 8 weeks of paid parental leave. In addition, employees also receive 4 weeks of fully paid transition time, during which you may work 2–3 days per week while receiving full base pay.

  • Equity: We offer meaningful equity because we believe in sharing the value you help create. Your contributions directly impact our growth, and your equity gives you a stake in our future success.

  • Financial wellness: We provide 401K retirement plans for employees as well as guaranteed life insurance and short- and long-term disability coverage.

  • Extra work/life benefits: We provide monthly stipends for internet, mobile plans, wellness perks, a one-time home office reimbursement, and company provided equipment including a MacBook and monitor.

 

Point is proud to be an equal-opportunity employer. We provide employment opportunities regardless of age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, veteran status, or any other protected class. Each individual at Point brings their own perspectives, work experiences, lifestyles, and cultures with them, and we believe that a more diverse team creates more innovative products, provides better services to customers, and helps us all grow and learn.

 

 

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How we rate this

Sr. Manager, DevOps and AI Enablement at Point rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

RAGAI agentsDevOpsInfrastructureSreAI EnablementCI/CDZapier AI

Questions you could be asked

  1. How would you design a retrieval step so the model answers from real data instead of guessing?
  2. How do you decide when an AI agent can act on its own versus asking for approval first?
  3. Tell me about a project where devops was part of your work. What did you do?
  4. Tell me about a project where infrastructure was part of your work. What did you do?
  5. Tell me about a project where sre was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: RAG, AI agents, DevOps, Infrastructure, and Sre. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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