18 hours ago
Responsibilities
- Own the infrastructure and architecture behind internal AI tools from prototype through production.
- Build and maintain integrations between AI tools and Salesforce, Google Workspace, Slack, data warehouses, and other company systems.
- Manage CI/CD, environments, and infrastructure as code for internal AI applications.
- Implement access controls, data permissions, secrets management, and audit logging.
- Monitor uptime, adoption, and cost to determine what to scale, fix, or retire.
- Work with teams across the company to turn internal needs into working tools.
- Evaluate AI tools and models and recommend adoption decisions.
Requirements
- Require 7+ years of experience in production, platform, SRE, or DevOps engineering.
- Require production experience with Kubernetes and a public cloud such as GCP or AWS.
- Require hands-on infrastructure-as-code experience with Terraform, Pulumi, or similar tools.
- Require strong Python or Go experience.
- Require hands-on experience integrating LLM APIs or AI services into real workflows.
- Require understanding of identity, access control, secrets management, SSO, and OAuth.
- Require comfort working with non-technical internal customers.
- Preferred experience includes MCP, agent frameworks, LLM gateways, and observability tools such as LiteLLM, Langfuse, or Helicone.
- Preferred experience includes integrations with Salesforce, Google Workspace, Slack, Gong, or Databricks, and work supporting non-engineering internal customers or business-systems/internal-tools teams.
Benefits
- Fully remote work arrangement.
- Competitive salary and excellent benefits.
- Opportunity to take a central role on the COO’s team and work with experienced talent.
Tech Stack
Categories
About Placer.ai
Placer.ai builds a SaaS location analytics platform that turns aggregated, privacy-safe mobile location and geospatial data into foot-traffic and trade-area insights for retailers, commercial real estate, and public-sector teams. Customers use its web-based tools and APIs to analyze sites, markets, and consumer behavior and inform investments, marketing, and operations. Founded in 2018 and headquartered in Santa Cruz, California, the company is privately held and serves thousands of organizations, including Fortune 500 brands and local governments.