Job description

ABOUT PLACER.AI: Placer.ai is transforming how organizations understand the physical world. Our location analytics platform provides unprecedented visibility into locations, markets, and consumer behavior. Placer empowers thousands of customers—from Fortune 500 companies, to local governments and nonprofits— to make smarter, data-driven decisions. What sets us apart? We've built the most advanced location intelligence platform in the market while maintaining an uncompromising commitment to privacy, proving that powerful analytics and responsible data practices can coexist. Our growth reflects the market's demand: we reached $100M in annual recurring revenue within just 6 years of launching, achieved unicorn status with a $1B+ valuation in 2022, and continue to expand rapidly as one of North America's fastest-growing tech companies. We're creating a $100B+ market opportunity, and we're just getting started. Named one of Forbes America's Best Startup Employers and a Deloitte Technology Fast 500 company, we're building a culture where innovation thrives, collaboration is the norm, and every team member contributes to reshaping how the world understands location. SUMMARY: We’re hiring a Platform Engineer to own the infrastructure behind Placer’s internal AI tools, used daily by teams across the company. You’ll take AI tools from prototype to production and shape how AI scales across the business. This role sits on the COO’s team, with real ownership and a short path from idea to impact. RESPONSIBILITIES: Own the infrastructure behind Placer’s internal AI tools, from architecture to production. Take AI tools from prototype to production: secure, reliable, and easy to use. Build and maintain integrations between AI tools and company systems (e.g., Salesforce, Google Workspace, Slack, data warehouse). Run CI/CD, environments, and infrastructure as code for internal AI applications. Set up access controls, data permissions, and audit logging so teams can move fast safely. Monitor uptime, adoption, and cost, and use the data to decide what to scale, fix, or retire. Work directly with teams across the company to turn their needs into working tools. Evaluate new AI tools and models, and recommend what’s worth adopting. REQUIREMENTS: 7 + years in production, platform, SRE, or DevOps engineering. Production experience with Kubernetes and public cloud (GCP or AWS). Hands-on with infrastructure as code (Terraform, Pulumi, or similar). Strong Python or Go experience. Hands-on experience integrating LLM APIs or AI services into real workflows. Solid understanding of identity, access control, and secrets management (SSO/OAuth). Comfortable working with non-technical internal customers. Nice-to-Have Experience with MCP, agent frameworks, or LLM gateways/observability tools (e.g., LiteLLM, Langfuse, Helicone). Integrations with business systems such as Salesforce, Google Workspace, Slack, Gong, or Databricks. Experience supporting non-engineering internal customers, or in a business-systems / internal-tools team. WHY JOIN PLACER.AI? Join a rocketship! We are pioneers of a new market that we are creating Take a central and critical role at Placer.ai Work with, and learn from, top-notch talent Competitive salary Excellent benefits Fully remote NOTEWORTHY LINKS TO LEARN MORE ABOUT PLACER Placer.ai's $100M round C funding (unicorn valuation!) See our data in action at The Anchor Placer.ai in the news Video: About Placer for Commercial Real Estate Video Playlist: Placer Brand & Explainer Videos Placer.ai is committed to maintaining a drug-free workplace and promoting a safe, healthy working environment for all employees. Placer.ai is an equal opportunity employer and has a global remote workforce. Placer.ai’s applicants are considered solely based on their qualifications, without regard to an applicant’s disability or need for accommodation. Any Placer.ai applicant who requires reasonable accommodations during the application process should contact Placer.ai’s Human Resources Department to make the need for an accommodation known.

Requirements

Must-haves

Own the infrastructure behind Placer’s internal AI tools, from architecture to production.
Take AI tools from prototype to production: secure, reliable, and easy to use.
Build and maintain integrations between AI tools and company systems (e.g., Salesforce, Google Workspace, Slack, data warehouse).
Run CI/CD, environments, and infrastructure as code for internal AI applications.
Set up access controls, data permissions, and audit logging so teams can move fast safely.
Monitor uptime, adoption, and cost, and use the data to decide what to scale, fix, or retire.
Work directly with teams across the company to turn their needs into working tools.
Evaluate new AI tools and models, and recommend what’s worth adopting.
7 + years in production, platform, SRE, or DevOps engineering.
Production experience with Kubernetes and public cloud (GCP or AWS).
Hands-on with infrastructure as code (Terraform, Pulumi, or similar).
Strong Python or Go experience.
Hands-on experience integrating LLM APIs or AI services into real workflows.
Solid understanding of identity, access control, and secrets management (SSO/OAuth).

Nice-to-haves

Experience with MCP, agent frameworks, or LLM gateways/observability tools (e.g., LiteLLM, Langfuse, Helicone).
Integrations with business systems such as Salesforce, Google Workspace, Slack, Gong, or Databricks.
Experience supporting non-engineering internal customers, or in a business-systems / internal-tools team.
WHY JOIN PLACER.AI?
Join a rocketship! We are pioneers of a new market that we are creating
Take a central and critical role at Placer.ai
Work with, and learn from, top-notch talent
Competitive salary
Excellent benefits
Fully remote

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aici/cdkubernetesgcpawspythongollm

Platform: greenhouse
Effort: quick