Placer.ai

Placer.ai

Senior AI Platform Engineer

US · Senior

Sponsorship not specified$180k-$200kDetected 3 days ago
DatabricksGCPKubernetesPlatform EngineeringRESTOAuthData EngineeringData ScienceLLMsCybersecurityProduct ManagementProduct StrategyGoogle AnalyticsValuationResearchLeadershipCommunicationCollaboration

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odds of building a lasting career here

47Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role35
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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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; 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.
  • 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.
  • Placer.ai is building out the AI agentic and context layer we use to run the company internally - the tooling, integrations, agents, and automation that make every team faster.
  • This is the connective tissue of how an AI-native company operates, and we're building it from the ground up.

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

  • $180k-$200k

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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This listing is sourced directly from Placer.ai's careers page and normalized into a canonical job model.