Placerlabs
Senior AI Platform Engineer
United States, Remote · Senior
Sponsorship not specified$180k-$200kDetected 4 days ago
DatabricksGCPKubernetesPlatform EngineeringRESTOAuthData EngineeringData ScienceLLMsCybersecurityProduct ManagementProduct StrategyGoogle AnalyticsValuationResearchLeadershipCommunicationCollaboration
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Cap-exempt (no lottery)0
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Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
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About the role
- ABOUT PLACER.AI: Placer.ai is transforming how organizations understand the physical world.
- We're creating a $100B+ market opportunity, and we're just getting started.
- You'll be tasked with driving these capabilities and impact to the next level - from surface-level usage to genuinely agentic, high-leverage workflows embedded across the business.
Responsibilities
- Agent Design & Orchestration Architect agents that don't just answer questions but do work - chaining reasoning, tool calls, and decision-making into reliable multi-step workflows (e.g. pulling data, transforming it, drafting output, and taking action), with the planning and control logic to run those loops autonomously or with a human in the loop.
- In practice, this means designing, building, and deploying MCP servers across two tracks: external SaaS integrations (Google Analytics, Search Console, Datawrapper, Infogram, and others), where you'll harden community or official MCPs or build from scratch
- MCP Server Development Design, build, and deploy MCP servers across two tracks: external SaaS integrations (Google Analytics, Search Console, Datawrapper, Infogram, others), where you'll harden community or official MCPs or build from scratch
- Auth Infrastructure Build the OAuth and credential management layer that makes connector auth work securely at scale. Implement reusable patterns R&D Architecture can approve and other connectors can adopt.
- Plugin & Skill Development Build and maintain Cowork plugins and Claude skills that extend Claude's capabilities for specific Placer workflows - particularly for high-leverage teams in Marketing, Operations, and Data.
- Usage Tracking & Insights Build and maintain tooling to track how internal AI tools are being used across the company, so leadership can measure adoption, identify high-value use cases, and make informed decisions about expanding access and investment.
- Platform Infrastructure & Cost Optimization Optimize compute, storage, and networking across the internal AI platform for both performance and cost efficiency - making sure the systems scale with adoption without runaway spend.
- Security & Compliance Implement security best practices for AI platforms, including identity management, encryption, and compliance monitoring - ensuring that company-wide AI access is safe, auditable, and aligned with our data-handling standards.
- In practice, this means designing, building, and deploying MCP servers across two tracks: external SaaS integrations (Google Analytics, Search Console, Datawrapper, Infogram, and others), where you'll harden community or official MCPs or build from scratch; and fully custom MCPs for Placer's internal tools, owning the path from data source through to the Cowork plugin surface.
- MCP Server Development Design, build, and deploy MCP servers across two tracks: external SaaS integrations (Google Analytics, Search Console, Datawrapper, Infogram, others), where you'll harden community or official MCPs or build from scratch; and fully custom MCPs for Placer's internal tools, owning the path from data source through to the Cowork plugin surface.
Requirements
- 8+ years of backend engineering experience
- Prior experience with MCP servers, LLM tool use, or AI agent frameworks
- Prior experience in data engineering or analytics tooling
- Comfort working without an existing playbook - AI platform work at Placer is new
- Comfort integrating generative AI into day-to-day workflows to boost productivity, quality, and output.
Nice to have
- Familiarity with Databricks or similar DW/DLs is a plus
Compensation
- 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-
Company info
- 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.
- 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.
- Developing our use of Claude and Databricks - currently the backbone of that internal AI stack - is a key part of the mandate.
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