Job Overview
Location
Ramat Gan, Israel
Job Type
Full-time
Category
Backend Engineer
Date Posted
May 9, 2026
Full Job Description
📋 Description
- • Senior Backend Engineer at Placer Labs Inc. responsible for building and evolving large-scale distributed backend systems that power the company’s location analytics platform, processing billions of data points to deliver ML-driven insights.
- • Day-to-day responsibilities include designing and owning backend services end-to-end, driving performance and reliability through data-informed decisions, building data pipelines for ML and analytics, collaborating with Product, Data Science, and Analytics teams, and mentoring engineers via code reviews and technical guidance.
- • Placer.ai is a fast-growing unicorn startup transforming location intelligence with a privacy-first approach, serving Fortune 500 companies, governments, and nonprofits, backed by $100M ARR and a $1B+ valuation, recognized as a Forbes Best Startup Employer and Deloitte Technology Fast 500 company.
- • The role offers the opportunity to solve hard technical challenges at scale, work with modern infrastructure, influence engineering culture through AI fluency, and grow as a technical leader in a high-impact, innovative environment.
🎯 Requirements
- • 8+ years of backend engineering experience in high-scale B2B SaaS or data-driven products
- • Strong proficiency in one or more of: Python, Java, Go, Node.js, .NET — with a bias toward Python
- • Hands-on experience with data-intensive systems and complex data pipelines
- • Deep experience with Python and MongoDB
- • Experience with Google Cloud data technologies (BigQuery, Bigtable)
- • Hands-on with Docker, Kubernetes, and Infrastructure as Code
🏖️ Benefits
- • 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
Skills & Technologies
About Placer Labs Inc.
Placer Labs Inc. provides a location-analytics platform that aggregates anonymized mobile-device data to deliver foot-traffic and behavioral insights for retailers, commercial real estate investors, municipalities, and consumer-goods brands. Its software converts raw GPS signals into metrics such as visit counts, dwell time, trade-area demographics, cross-shopping patterns, and competitive benchmarking. Clients access dashboards and APIs to evaluate site selection, lease negotiations, marketing effectiveness, and asset performance. The company emphasizes privacy compliance, using differential privacy and opt-in data sources to protect individual identities while enabling strategic decisions across shopping centers, restaurants, hospitality, and public-sector planning.
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