Placer.ai

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: The Custom Feeds team turns Placer's data into production-grade bespoke data products for our largest customers — tailored to specific business questions and shipped on a recurring basis. We're looking for a Senior Analytics Engineer, who is both a pipeline builder and a data researcher. You'll own custom recurring feeds end to end — from methodology for new metrics, through pipeline design, to final acceptance before delivery. You'll lead conversations with internal stakeholders (US-based customer-facing teams and colleagues across R&D) and help generalize recurring logic into reusable models, metrics and packages the whole team builds on. Ideal for a rigorous, independent thinker looking for a delivery-oriented role where impact is tangible. Responsibilities • Own custom feeds from requirements through delivery and ongoing maintenance • Develop methodologies and acceptance criteria for new metrics • Build reproducible, tested production pipelines in PySpark on Databricks, orchestrated with Airflow and Terraform • Partner with Solution Engineers and customer-facing teams on timelines, methodology and customer feedback • Build reusable components and packages; collaborate with R&D and Data Science to reuse existing datasets, models and products — and make your work reusable by others • Requirements • 5+ years in data analytics / data research with large-scale datasets • 3+ years hands-on Python and PySpark at scale • Solid applied statistics — sampling and estimation, bias and coverage, significance, uncertainty — and the ability to explain limitations to non-technical audiences • Demonstrated ownership of data quality: metrics and validations for datasets others depend on • Proficiency with AI-assisted coding (Claude Code, Cursor, Copilot), with judgment about when to trust, verify or discard output • Excellent written and spoken English; comfortable presenting to customers • Ability to own deliverables independently across multiple teams under tight deadlines • B.Sc. in a quantitative field; M.Sc. / MBA or academic research experience — advantage • Technical Skills: PySpark (must, with performance awareness), Databricks or equivalent Spark platform, Airflow in production, Terraform / IaC, Git-based collaborative development 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 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 #LI-AC1

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 looking for a Senior Backend Engineer to join our Data Export Team. In this role, you will lead the architecture and development of backend microservices that drive our entire distributed export ETL infrastructure. You will build the intelligent service layer responsible for orchestrating, executing, and scaling high-throughput batch and real-time data transformations. RESPONSIBILITIES: • Service Ownership: Own backend microservices end-to-end—from architecture and API design to production deployment, observability, and continuous execution tuning. • ETL Engine & Performance: Drive performance, throughput, and sub-second reliability across our distributed ETL infrastructure, using data, profiling, and operational metrics to guide architectural decisions. • Pipeline Infrastructure: Build, orchestrate, and scale high-throughput batch and real-time streaming data pipelines supporting analytics, export workflows, and UI platform integrations. • Cross-Functional Collaboration: Partner closely with Product, Data Science, Analytics, and cross domain RnD teams to turn complex data movement requirements into seamless backend integrations. • Technical Excellence: Raise the engineering bar across the team through design reviews, robust code reviews, asynchronous system architecture discussions, and technical mentorship. REQUIREMENTS: • Backend Expertise: 5+ years of backend engineering experience designing, operating, and scaling distributed microservices. • Data, ETLs & Databases: Hands-on experience architecting data-intensive systems, and high-throughput batch or real-time pipelines. Strong proficiency across diverse database technologies (relational, analytical warehouses like Postgres, Databricks, and Snowflake) with a track record of optimizing complex queries and data storage at scale. • Engineering Fundamentals: Strong foundation in core system design, data structures, clean API design, automated testing, and production observability (metrics, tracing, logging). • Cloud & Infrastructure: Excellent proficiency with cloud environments (AWS or GCP) and Infrastructure-as-Code (Terraform) for managing distributed execution environments. • AI Productivity: Demonstrated use of AI tools to work more efficiently, whether professionally or personally, and a curiosity for finding new ways to apply them. Comfort integrating generative AI into day-to-day workflows to boost productivity, quality, and output. • Education: BSc in Computer Science or equivalent practical experience. NICE TO HAVE: • Python Services & Scripting: Strong proficiency with Python as a core backend language—building clean, modular microservice APIs (using frameworks like FastAPI or Flask), writing asynchronous tasks, and wrapping data processing logic into testable Python packages. • Distributed Processing with PySpark: Hands-on experience writing PySpark batch and streaming jobs to transform multi-terabyte datasets. Ability to optimize Spark execution plans, handle data skew, manage memory allocation, and minimize expensive shuffle operations across cluster nodes. 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 benefitsFully 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.

SUMMARY: We’re looking for a Senior Cloud Security Engineer to own the security of a large-scale data platform that processes billions of events for thousands of customers, where privacy is a core product commitment. You’ll own cloud security end to end, building the guardrails, automation and controls that make the secure path the default for every engineer. You’ll work closely with the infrastructure team who own the platform, and see your decisions go straight to production. RESPONSIBILITIES: • Own the security posture of our GCP and Kubernetes environments: IAM, network segmentation, workload hardening, and data access to BigQuery, Bigtable and other data stores, detecting and fixing cloud misconfigurations continuously and automating remediation wherever possible • Build secure-by-default foundations: hardened base images, secure Kubernetes configurations, and policy-as-code guardrails for Kubernetes and Terraform • Partner with engineering to embed security into CI/CD, with automated fixes and alerts instead of manual checklists • Own secrets and key management end to end, including rollout, rotation and access policy • Drive vulnerability management from discovery to fix, prioritizing by real exposure • Review new services and designs with practical, lightweight threat modeling • Lead security incidents from containment to post-mortem • Serve as the go-to security expert across R&D, mentoring engineers and helping teams adopt AI services safely REQUIREMENTS: • 6+ years in security, infrastructure, DevOps, or SRE, including 3+ years owning cloud security in production • Deep hands-on experience securing a major public cloud. We run on GCP; strong AWS or Azure engineers ramp quickly here. • Production Kubernetes security: RBAC, network policies, admission control, workload hardening • Terraform (or similar) plus Python or Go. You’ve built security automation, not just configured off-the-shelf tools. • Sound judgment on risk: you know when to block, when to guide, and when to accept AI FLUENCY & ENGINEERING EXCELLENCE: • Uses AI to scale security work in practice, e.g. LLM-assisted triage, generating and testing policy-as-code, or automating design reviews • Familiar with the security risks of LLM APIs and AI services in production, or eager to build that expertise NICE TO HAVE: • Application security or DevSecOps experience • Experience securing data platforms and enforcing data access governance • A background in DevOps, SRE or Platform engineering before moving into security 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 • Hybrid 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.

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 looking for a Senior Backend Engineer to join Placer.ai’s mobility engineering group and build the systems behind one of the world’s largest location-analytics platforms. In this role, you’ll work on backend services that process and serve millions of clients, power ML-driven insights, and operate at high scale and high reliability. If you’re motivated by hard technical challenges, modern infrastructure, and collaborating with strong engineers, this role is built for you. RESPONSIBILITIES: • Own services end-to-end — from architecture and design to production, monitoring, and continuous improvement • Drive performance, scalability, and reliability, using data and metrics to guide decisions • Build infrastructure and data pipelines that support machine-learning, analytics, and real-time use cases • Partner closely with Product, Data Science, and Analytics to turn complex data into impactful product features • Raise the engineering bar through code reviews, design discussions, and technical mentorship REQUIREMENTS: • 5+ years of backend engineering experience in high scale systems • 2+ years working on NodeJS backend systems with TypeScript or JavaScript • Excellent proficiency in Cloud Computing environments (AWS or GCP) and infrastructure-as-code (Terraform) • Familiarity with mobile app development (iOS/Android) in one or more of the following: Kotlin, Swift, Objective C, Java • Solid engineering fundamentals: system design, data structures, APIs, testing, and observability • Hands-on experience with data-intensive systems and complex data pipelines • BSc in Computer Science or equivalent practical experience • Optional: Data engineering experience with Apache Spark is a big plus NICE TO HAVES: Demonstrated use of AI tools to work more efficiently—whether professionally or personally—and a curiosity for finding new ways to apply them.Comfort integrating generative AI into day-to-day workflows to boost productivity, quality, and output. 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 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.

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: As a Senior Big Data Engineer, working within Placer.ai's Mobility Group, you will play a pivotal role in designing, developing, and maintaining the data infrastructure that powers our location analytics platform. RESPONSIBILITIES: • Data Pipeline Architecture and Development: Design, build, and optimize robust and scalable data pipelines to process, transform, and integrate large volumes of data from various sources into our analytics platform. • Data Quality Assurance: Implement data validation, cleansing, and enrichment techniques to ensure high-quality and consistent data across the platform. • Performance Optimization: Identify performance bottlenecks and optimize data processing and storage mechanisms to enhance overall system performance and reduce latency. • Cloud Infrastructure: Work extensively with cloud-based technologies (GCP and AWS), to design and manage scalable data infrastructure. • Collaboration: Collaborate with cross-functional teams including Data Analysts, Data Scientists, Product Managers, and Software Engineers to understand requirements and deliver solutions that meet business needs. • Data Governance: Implement and enforce data governance practices, ensuring compliance with relevant regulations and best practices related to data privacy and security. • Monitoring and Maintenance: Monitor the health and performance of data pipelines, troubleshoot issues, and ensure high availability of data infrastructure. • Mentorship: Provide technical guidance and mentorship to junior data engineers, fostering a culture of learning and growth within the team. REQUIREMENTS: • Strong hands-on Apache Spark experience — building and operating pipelines in production, not just familiarity • Proficiency in PySpark or Scala for Spark development • Proven track record delivering ETL pipelines and data integration at scale • Solid SQL skills and command of data modeling concepts • Cloud platform experience (AWS, GCP, or Azure) in a production data context • Comfortable working with distributed systems and big data formats (Parquet, Delta Lake) Nice to have: • Experience with pipeline orchestration tools, particularly Apache Airflow • Exposure to the geospatial or location analytics domain • Familiarity with Hadoop ecosystem components • Background in both Python and Scala (beyond Spark context) 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 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. May 2026