Placer.ai
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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
Ready to apply?
Apply to 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:
We’re looking for a Senior Backend Engineer to join Placer.ai’s core 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 billions of data points, 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:
- Design, build, and evolve large-scale, distributed backend systems that power Placer.ai’s data and AI products
- 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:
- 7+ years of backend engineering experience in high-scale B2B SaaS or data-driven products
- Proven track record building and maintaining production-grade distributed systems
- Strong proficiency in one or more of: Python, Java, Go, Node.js, .NET — with a bias toward Python
- 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
AI Fluency:
- A genuine early adopter of emerging AI technologies — continuously explores new tools and paradigms, integrates them into practice ahead of the curve, and actively drives that culture within their team
- Applies AI tooling to elevate engineering quality: accelerating development cycles, improving code quality, automating repetitive work, and pushing the boundaries of what the team ships
- Raises the bar around them: inspires and challenges peers to think differently about how AI can change the way they build
OTHER REQUIREMENTS:
- Deep experience with Python and MongoDB
- Experience with Google Cloud data technologies (BigQuery, Bigtable)
- Hands-on with Docker, Kubernetes, and Infrastructure as Code
- Exposure to AI/ML-adjacent systems: data pipelines, feature stores, model serving, or analytics platforms
- Experience integrating or building on top of LLM APIs or AI services
- Familiarity with frontend frameworks or full-stack collaboration
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.
#LI-AC1 May 2026
Ready to apply?
Apply to Placer.ai
ABOUT PLACER.AI:
One of the fastest growing tech companies in North America, Placer.ai (“Placer”) reached $100 million ARR “Centaur” status in 2024, within 6 years of launching the Placer platform. We previously crossed the $1B valuation “Unicorn” threshold in 2022.
Our A.I.-based SaaS platform transforms how leaders make critical decisions by unlocking unparalleled visibility into markets and locations, creating a blue ocean market of more than $100B. And the best part is, we accomplished this by leading a privacy-first business in which data has been stripped of user identifiers and only aggregated information is provided within the platform.
Our platform provides instant visibility into almost any location in the U.S. We have grown exponentially over the past 6 years, counting more than 4,000+ paying customers including many Fortune 500 companies, such as, JP Morgan Chase, Wayfair, Google and many more.
Named one of Forbes America’s Best Startup Employers and a Deloitte Technology Fast company, we are proud of our collaborative, innovative and inclusive culture.
Summary
We are looking for a Production Engineer to help us build and scale Placer’s Infrastructure. This person will take an active role in shaping and implementing Placer’s architecture, as well as introduce new technologies, standards and help increase our release pipeline by building the right tools and frameworks for our developers.
This person will take the existing architecture and pave the way in pursuing and materializing our vision. Passion is a MUST and passion for data even more so!
If you are someone who thrives outside their comfort zone, your place is at Placer.ai.
Responsibilities
- Plan and implement tools to help our company succeed
- Taking care of our CI/CD tools
- Manage our production and multiple development environments
- Collaborate with development teams to improve our system infrastructure and stability
- Develop effective tooling, dashboards, alerts, and response to identify and address reliability risks
- Measure, analyze and improve efficiency, scalability, and stability of various system resources
- Carry tasks end-to-end, from design to deployment, and take full ownership
Requirements
- 5+ years of experience in a similar position
- Experience working with public cloud
- 3+ years of production experience with Kubernetes including using open source solutions from the eco-system
- 2+ years of experience with "Infrastructure as a code" tools such as Terraform, Pulumi or similar
- 2+ years of experience managing Databases and Queues such as PostgreSQL, MySQL, ElasticSearch, Redis, MongoDB, Kafka, RabbitMQ or similar
- Strong skills with a variety of monitoring and alerting tools
- Sense of humor, all around team player, fast self-learning individual, problem solver
Nice to have:
- CKA certification or similar
- Strong Kubernetes skills, experience with modern CNIs, volume plugins, security, operators, service meshes, ingresses and K8s ecosystem
- Extensive knowledge of RabbitMQ
- Experience working with GCP
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
- Fully remote
The U.S. annualized pay range for this position is $190,000 - $210,000 USD. In addition, certain roles have the opportunity to earn sales-based commissions. Base pay offered within the stated range may vary depending on multiple individualized factors, including job-related skills, professional experience, education and licenses (if applicable), work location and compensation market data.
Base pay is just a part of our total rewards program. Placer provides medical, dental and vision coverage as well as flexible time off, 401K and equity awards for certain roles.
Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
NOTEWORTHY LINKS TO LEARN MORE ABOUT PLACER
- Placer.ai in a nutshell
- Placer.ai's recent $100M round C funding (unicorn valuation!)
- Placer.ai's data
- Placer.ai in the news
- COVID-19 Economic Recovery Dashboard
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.
#LI-AC1
#LI-AC1
Ready to apply?
Apply to 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.
We're looking for a Data Platform Engineer to own and scale the Kubernetes infrastructure powering our large-scale data processing platform.
- Operate and scale Kubernetes clusters with thousands of nodes supporting large-scale Spark and data processing workloads
- Manage and optimize Apache Spark on Kubernetes — executor autoscaling, driver scheduling, resource tuning, spot instance strategies
- Deploy and tune remote shuffle services (e.g., Apache Celeborn) to handle shuffle data at scale across multiple availability zones
- Operate and improve self-hosted Apache Airflow infrastructure on Kubernetes
- Configure and optimize batch schedulers (e.g., YuniKorn, Volcano) for gang scheduling, fair-share queuing, and resource prioritization
- Drive cost optimization across large compute fleets — spot vs. on-demand strategies, node right-sizing, autoscaling policies, local SSD utilization
- Support and collaborate with Data Engineering teams on workload performance, resource allocation, and infrastructure requirements
- Manage infrastructure-as-code (Terraform) and GitOps deployments (ArgoCD, Helm) for data platform services
- Integrate with managed data platforms (e.g., Databricks) and cloud storage for hybrid processing architectures
- 3+ years of experience operating Kubernetes in production at significant scale (hundreds to thousands of nodes)
- Hands-on experience with Apache Spark on Kubernetes — you understand executors, drivers, dynamic allocation, shuffle behavior, and how they map to K8s primitives
- Strong understanding of Kubernetes internals — scheduling, resource management, node autoscaling, pod lifecycle, taints/tolerations, local storage
- Experience with cloud infrastructure (GCP preferred) — managed Kubernetes, spot/preemptible instances, local SSDs, networking at scale
- Comfortable with infrastructure-as-code (Terraform) and GitOps workflows
- Proficiency in Python or Go
- Experience operating Apache Airflow at scale on Kubernetes
- Experience with Apache Celeborn or similar remote shuffle services
- Familiarity with YuniKorn or Volcano batch schedulers
- Experience with Databricks administration and integration
- Knowledge of data formats and storage systems (Parquet, Delta Lake, cloud object storage)
- Experience with streaming or messaging systems (Kafka)
- Experience with Prometheus/Grafana observability stacks for data platform monitoring
- Contributions to open-source data infrastructure projects
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.
Ready to apply?
Apply to 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:
We are seeking an experienced Principal Engineer with deep GenAI expertise to lead our GenAI 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:
- Lead the technical vision and architecture decisions for our GenAI products, ensuring scalability and performance of the AI-powered location intelligence system.
- Establish technical roadmaps aligned with business objectives and scalability requirements.
- Design and implement end-to-end AI systems from prototype to production, including LLM integration, agentic architectures, and RAG implementations.
- Build robust data pipelines and infrastructure supporting AI/ML workloads at scale.
- Oversee model deployment, fine-tuning, and optimization for production environments.
- Architect scalable microservices and cloud-native solutions supporting real-time AI applications.
- Ensure responsible AI practices including guardrails, performance monitoring, and ethical considerations.
REQUIREMENTS:
- Bachelor's degree or higher in Computer Science, Engineering, or a related field.
- 10+ years of experience in software development, with 1+ years building production GenAI solutions in B2B SaaS environments.
- Expert-level proficiency in backend engineering with Python, Java, Go, or Node.js; proven experience designing microservices architectures and deploying on cloud platforms (AWS, GCP, or Azure). Strong understanding of modern frontend technologies (React/Next.js, TypeScript) and experience architecting full-stack applications with real-time data streaming and WebSocket integrations.
- Hands-on experience building and deploying LLM-powered applications using frameworks such as LangChain, LlamaIndex, and APIs from OpenAI, Anthropic, or open-source models.
- Experience implementing agentic AI architectures with tool calling, memory systems, and multi-step reasoning capabilities for complex business workflows.
- Demonstrated expertise in RAG (Retrieval-Augmented Generation) systems, vector databases (Pinecone, Weaviate, ChromaDB), and semantic search implementations.
- Strong foundation in data engineering: designing and optimizing data pipelines, ETL processes, and data infrastructure to support AI/ML workloads.
- Proven track record of taking GenAI models from prototype to production, including fine-tuning LLMs, prompt engineering, and implementing guardrails for responsible AI.
- Experience with MLOps practices: model versioning, A/B testing, monitoring model performance, and managing the full ML lifecycle in production environments.
- Skilled at translating business requirements into technical solutions and collaborating with cross-functional teams including product managers, data scientists, and stakeholders.
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
- About Placer.ai
- 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
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.
Ready to apply?
Apply to 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:
We are seeking an experienced Principal Engineer with deep GenAI expertise to lead our GenAI 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:
- Lead the technical vision and architecture decisions for our GenAI products, ensuring scalability and performance of the AI-powered location intelligence system.
- Establish technical roadmaps aligned with business objectives and scalability requirements.
- Design and implement end-to-end AI systems from prototype to production, including LLM integration, agentic architectures, and RAG implementations.
- Build robust data pipelines and infrastructure supporting AI/ML workloads at scale.
- Oversee model deployment, fine-tuning, and optimization for production environments.
- Architect scalable microservices and cloud-native solutions supporting real-time AI applications.
- Ensure responsible AI practices including guardrails, performance monitoring, and ethical considerations.
REQUIREMENTS:
- Bachelor's degree or higher in Computer Science, Engineering, or a related field.
- 10+ years of experience in software development, with 1+ years building production GenAI solutions in B2B SaaS environments.
- Expert-level proficiency in backend engineering with Python, Java, Go, or Node.js; proven experience designing microservices architectures and deploying on cloud platforms (AWS, GCP, or Azure). Strong understanding of modern frontend technologies (React/Next.js, TypeScript) and experience architecting full-stack applications with real-time data streaming and WebSocket integrations.
- Hands-on experience building and deploying LLM-powered applications using frameworks such as LangChain, LlamaIndex, and APIs from OpenAI, Anthropic, or open-source models.
- Experience implementing agentic AI architectures with tool calling, memory systems, and multi-step reasoning capabilities for complex business workflows.
- Demonstrated expertise in RAG (Retrieval-Augmented Generation) systems, vector databases (Pinecone, Weaviate, ChromaDB), and semantic search implementations.
- Strong foundation in data engineering: designing and optimizing data pipelines, ETL processes, and data infrastructure to support AI/ML workloads.
- Proven track record of taking GenAI models from prototype to production, including fine-tuning LLMs, prompt engineering, and implementing guardrails for responsible AI.
- Experience with MLOps practices: model versioning, A/B testing, monitoring model performance, and managing the full ML lifecycle in production environments.
- Skilled at translating business requirements into technical solutions and collaborating with cross-functional teams including product managers, data scientists, and stakeholders.
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
- About Placer.ai
- 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
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.
Ready to apply?
Apply to Placer.ai