# Senior Software Engineer, Placer Intelligence at Placer.ai

> Remote · United States · Senior · Software engineering · open. Source: https://alderhq.app/jobs/greenhouse%3Aplacerlabs%3A8009196003 (read 2026-11-13).

## Facts (observed)

- Company: [Placer.ai](https://alderhq.app/companies/placer-ai)
- Location text: United States, Remote; Placer US
- Where it can be done from (inferred): Remote · United States (evidence: "Location: United States, Remote; Placer US")
- Posted: 2026-09-30 (44 days ago)
- First seen by alder: 2026-11-07 · last verified: 2026-11-08
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://placer.ai/company/we-are-hiring/?gh_jid=8009196003
- Skills listed (inferred): TypeScript, React, Python, FastAPI, SQL, LLMs, Distributed systems

## Pay and sponsorship

- Posted pay: not posted
- Market band for similar posted roles (United States, n 4786): p25 $155k, median $180k, p75 $207k

## Description (the employer's text)

### 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 are seeking an experienced Software Engineer, with deep GenAI expertise to lead our AI product solutions and development efforts. In this role, you will be responsible for driving the technical vision and architecture of our AI-powered location intelligence platform, building production-ready solutions that transform how businesses understand and leverage location data. You will oversee the full-stack development of our conversational AI system, from LLM integration and agentic workflows to real-time streaming interfaces, while establishing the technical foundation for our next-generation business intelligence tools. If you are a technical leader with 10+ years of software development experience, proven success in production GenAI environments, and a passion for building scalable AI platforms that deliver measurable business impact, we want to hear from you.

### RESPONSIBILITIES

- Work closely with product, design, and customers. Bring an engineer's view of what to build and how, not just take tickets.
- Turn vague requirements into clear technical plans, and adjust as you learn.
- Design, build, and ship production features across the full stack: APIs, data models, services, and UI.
- Make architecture decisions that balance speed now against maintainability later.
- Build AI-powered capabilities into the product: LLM features, retrieval, agents, and tool-calling flows (including MCP), with scoped permissions and failure recovery.
- Build evals from real user questions so every prompt or model change is measured before it ships.
- Protect AI features against prompt injection, personal-data leaks, and made-up answers.
- Keep production healthy: monitoring and tracing (including AI cost and latency), debugging from real traces, and fixing what breaks.
- Use AI coding tools (Claude Code, Cursor, or similar) as a core part of how you work, and own the quality, tests, and reliability of what ships.
- Raise the engineering bar through code review, sharing what works with AI tools, and improving the team's workflow.
### REQUIREMENTS

- 10+ years of software engineering, shipping customer-facing products in production.
- Strong full-stack fundamentals: Python (FastAPI or similar), React and TypeScript, relational databases and SQL, and shipping containerized services to the cloud.
- Strong system design: data modeling, API design, and production systems that stay reliable, fast, and secure as they grow. You can explain the trade-offs behind your choices.
- Hands-on experience shipping LLM-powered features: context engineering (prompts, retrieval, tools, memory), evals, handling model failures, and AI system architecture.
- An AI-native workflow: you plan before prompting, work in small reviewable steps, give your agents good context, use tests as the safety net, and can tell when their output is wrong.
- Strong product sense: you understand the user's problem, care about the experience, and push back when something doesn't feel right.

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Aplacerlabs%3A8009196003 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.