---
title: 'Senior Analytics Engineer- Custom Feeds at Placer.ai'
canonical: 'https://feeny.ai/job/senior-analytics-engineer-custom-feeds-placer-ai-ramat-gan-e7h8mth0hfzg'
type: 'job'
last_seen: '2026-10-15'
---

# Senior Analytics Engineer- Custom Feeds at Placer.ai

- **Company:** Placer.ai
- **Location:** Ramat Gan
- **Posted:** 2026-09-14
- **Last confirmed live:** 2026-10-15
- **Apply:** https://placer.ai/company/we-are-hiring/?gh_jid=7993942003

## Job description

## 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:

- https://techcrunch.com/2022/01/12/placer-ai-a-location-analytics-startup-finds-100m-at-a-1b-valuation/
- See our data in action at[The Anchor](https://www.placer.ai/anchor)
- [Placer.ai in the news](https://www.placer.ai/resources/press/)
- [Video: About Placer for Commercial Real Estate](https://www.youtube.com/watch?v=hCwJVdKq-mo)
- [Video Playlist: Placer Brand & Explainer Videos](https://www.youtube.com/playlist?list=PLVpWfXWcX_ax43WxXX-BII6Ndg8vQ5ced)

Placer.ai is committed to maintaining a [drug-free workplace](http://www.placer.ai/company/we-are-hiring/drug-policy) 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

## Company Overview
- **One-liner**: Placer.ai provides location intelligence and foot traffic data software that helps businesses in retail, real estate, hospitality, and civic sectors understand offline visitation patterns and consumer behavior.
- **Entity Type**: Private (funding stage: Venture-backed, $301M total funding)
- **Headquarters**: Santa Cruz, California, United States
- **Founded**: 2018
- **Founders**: Noam Ben-Zvi (CEO), Zohar Bar-Yehuda (Data Scientist), Oded Fossfeld (CTO), Ofir Lemel (CPO)

## Core Business
- **Primary industries**: Location analytics, foot traffic data, market intelligence, commercial real estate, retail, hospitality, CPG, economic development
- **Target customers**: B2B – commercial real estate firms, retailers, restaurants, entertainment venues, CPG brands, healthcare organizations, financial institutions, civic/government entities
- **Mission / purpose**: “Making Sense of the Physical World” – empowering organizations to understand what’s really happening in physical locations and optimize decision-making.

## Products & Services
- **Placer.ai Platform**: A SaaS-based location analytics dashboard offering property-level reports, audience insights, trade area analysis, demographic and psychographic data, crime trends, planned development, and competitive benchmarking.
- **API (Placer API / PAPI)**: Programmatic access to foot traffic and location data for integration into custom tech stacks and analytics workflows.
- **Feeds**: Automated data exports for enterprise clients needing recurring, structured location data.

## Market Standing
- **Valuation / Market Cap**: Not disclosed (private company)
- **Key Metric**: $100M ARR (achieved in 2024) [placer.ai about page](https://www.placer.ai/company/about-us)
- **Total Funding**: $301M across 8 rounds, including a $75M venture round in July 2024 and a $12M Series A in 2020 [LinkedIn](https://www.linkedin.com/company/placer)
- **Notable Investors**: Not publicly listed by name; institutional venture capital firms participated in all rounds.
- **Growth Signals**: Over 4,000 customers; expanded data layers beyond foot traffic (crime, development, demographics); operates in 27 countries and employs 544 people; 16 active job postings with a quarterly increase of 6.7% [LinkedIn](https://www.linkedin.com/company/placer)

## Competitive Advantages
- Proprietary, privacy-preserving data panel with claimed +92% accuracy
- High-cardinality categorization across hundreds of property types and venues
- Near-real time visitation tracking and historical trend analysis
- Broadest industry coverage (retail, CRE, healthcare, finance, civic, entertainment, CPG)
- Strong talent pool from elite Israeli intelligence units (Unit 8200) and top tech companies (Similarweb, CoStar, Salesforce)

## Strategic Focus
- Deepening data layers beyond foot traffic (crime, climate, development, consumer expenditure)
- Expanding into new verticals such as healthcare, finance, and civic planning
- Building GenAI solutions (e.g., Principal Engineer, GenAI Solutions role) to accelerate insight generation
- Continuing to scale self-service platform while serving enterprise clients with custom API and feed integrations

## Why Work Here
- **Culture**: Described as “work with the best in the industry, solve complicated problems, and have fun” [careers page](https://www.placer.ai/company/career). LinkedIn rating: 3.6/5 (238 reviews). Work-Life Balance 3.7, Compensation 3.6, Culture 3.4, Career 3.3.
- **Remote/Hybrid**: Office-first presence in Santa Cruz, Los Altos, Covina (California) and Tel Aviv (Israel). No explicit remote-first policy; many roles likely require some office presence.
- **Engineering & Data Science**: Heavy investment in big data, GenAI, and location intelligence; tech stack includes Python, PostgreSQL, Snowflake, Kubernetes, React, Scala, among others. Talent sourced from elite military tech units and companies like Similarweb, CARTO, and Gong.
- **Benefits**: Healthcare coverage with network rates mentioned; standard startup perks for US and Israel offices.

## Sources
1. [Placer.ai – Company Overview](https://www.placer.ai/)
2. [Placer.ai – About Us / Mission](https://www.placer.ai/company/about-us)
3. [Placer.ai – Careers](https://www.placer.ai/company/career)
4. [Placer.ai – LinkedIn Profile](https://www.linkedin.com/company/placer)

## Other roles at Placer.ai

- [Senior Finance Manager](https://feeny.ai/job/senior-finance-manager-placer-ai-colombia-wgsyvrgecykm) — Colombia
- [Founding Engineer, Consumer Apps](https://feeny.ai/job/founding-engineer-consumer-apps-placer-ai-austin-ts71h305tqds) — Austin, TX
- [Senior Software Engineer, Placer Intelligence](https://feeny.ai/job/senior-software-engineer-placer-intelligence-placer-ai-united-states-arc53x8q6ent) — United States
- [VP, Revenue Marketing](https://feeny.ai/job/vp-revenue-marketing-placer-ai-united-states-trgmx7vw8m44) — United States
- [Senior AI Software Engineer](https://feeny.ai/job/senior-ai-software-engineer-placer-ai-united-states-wtzx8pgs3g21) — United States
- [Director, Marketing Operations](https://feeny.ai/job/director-marketing-operations-placer-ai-united-states-cpbr693zj02z) — United States
- [Big Data Engineer](https://feeny.ai/job/big-data-engineer-placer-ai-ramat-gan-e4yq58hffn3h) — Ramat Gan, Israel
- [Senior Backend Engineer- Data Platform](https://feeny.ai/job/senior-backend-engineer-data-platform-placer-ai-ramat-gan-t9cz2jvf0gy5) — Ramat Gan, Israel
- [Backend Engineer - Mobile Platform](https://feeny.ai/job/backend-engineer-mobile-platform-placer-ai-ramat-gan-ygaf8ar82n8h) — Ramat Gan, Israel
- [Account Manager](https://feeny.ai/job/account-manager-placer-ai-united-states-4xkgq3gkq4yv) — United States