Placer.ai
As of 1 November 2026, Placer.ai has 19 open roles (6 new in 30 days), its sales team is hiring most, and its postings name Google Cloud, Salesforce and Terraform as the tools the team works in.
As of 1 November 2026 · refreshed daily · counts move as websites, DNS and career sites are re-read.
- Headquarters
- New Orleans, Louisiana, United States
- Employees
- 501-1000 employees (linkedin)
- Sells to
- retail and hospitality, real estate and urban planning
- Certifications on site
- Site languages
- EN
- Career system
- Greenhouse
Placer.ai in one screen
Read from placer.ai: what the company does, the customers it names, the buyers we can actually see, and the companies that sell the same thing.
Placer.ai is a service provider that offers market intelligence and location analytics to help businesses optimize decision-making. Its offerings include advanced location analytics and customized solutions, with examples covering retail chains, fitness centers, and entertainment venues.
Named on the site: retail and hospitality, real estate and urban planning.
Nearest companies by what they do, sell and whom they serve, 51+ employees. 600 scored.
What Placer.ai says it runs
Tools named in the company's own postings as the team's systems, with the sentence that says so. What the website and DNS show is listed separately.
• 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 autThe Marketing Operations Manager reporting to this role owns the day-to-day build work in HubSpot, Salesforce, and Chili Piper, so this is not the person configuring every workflow.• Build secure-by-default foundations: hardened base images, secure Kubernetes configurations, and policy-as-code guardrails for Kubernetes and Terraform• Build AI-powered capabilities into the product: LLM features, retrieval, agents, and tool-calling flows (including MCP), with scoped permissions and failure recovery.
• 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 autDeveloping our use of Claude and Databricks — currently the backbone of that internal AI stack — is a key part of the mandate.y 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 remediatiof 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 whereve• Build reproducible, tested production pipelines in PySpark on Databricks, orchestrated with Airflow and TerraformThese projects range from cutting data into an easier to digest manner to creating entire reports built in ArcGIS, JS, Tableau and more.• Build reproducible, tested production pipelines in PySpark on Databricks, orchestrated with Airflow and TerraformThese projects range from cutting data into an easier to digest manner to creating entire reports built in ArcGIS, JS, Tableau and more.The Marketing Operations Manager reporting to this role owns the day-to-day build work in HubSpot, Salesforce, and Chili Piper, so this is not the person configuring every workflow.• Review invoicing prior to emailing the customer ensuring tax compliance using AvalaraVendors whose code loads on placer.ai or whose records sit in its DNS. Page plumbing (libraries, fonts, consent banners) is left out.
19 open roles, 14 opened in 90 days
Read hourly from the company's career system. Open roles and new roles in the last 30 days, by team. Companies hiring sales in United States →
| open · new 30 d | |
|---|---|
| Sales | 7 · 1 |
| Software engineering | 4 · 2 |
| Data & AI | 3 · 0 |
| Finance & accounting | 2 · 1 |
| IT operations & business systems | 1 · 1 |
| Marketing & communications | 1 · 0 |
What is changing, read from the postings
Intents are events the employer states about itself, each with the sentence and the posting it came from.
No change signals read in the current postings.
Sales, marketing and IT leaders by function. Add Placer.ai to a monitor and get a webhook when a role opens, a tool appears or a signal is read.
Start free, no card. The first 20 are above; e-mails are verified at the mail server when you open them.
Companies like Placer.ai
Nearest by what they do, what they sell and whom they sell to, 51+ employees. 6 of 600 scored.
From the company's own website
Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.
Placer.ai (New Orleans, United States, 501-1000 employees) has 19 open roles, 6 new in 30 days, and names 14 tools in its postings. (Breaknorm, 1 November 2026, https://breaknorm.co/company/placer.ai)
Read from the source, not self-reported
Every number on this page can be traced to a page we crawled or a posting we read. Full methodology →
- ProfileBuilt from placer.ai: summary, offerings, customers, certifications and contact points are extracted from its pages, with a confidence score per field.
- HiringRead hourly from the company's Greenhouse career site; reposts collapse into one record.
- Tech stackTools the employer's own text names as the team's systems, with the quote; website scripts counted separately.
- HeadcountLinkedIn where known, otherwise estimated from the site.
Placer.ai: questions
Does Placer.ai use Google Cloud?
Yes, by the company's own words: 7 postings name it, first seen 2026-08-11, in the software engineering team.
Is Placer.ai hiring?
19 open roles as of 1 November 2026, 6 opened in the last 30 days and 2 closed. The largest team hiring is sales.
Where does this profile come from?
From placer.ai itself: we crawled it on 2026-08-06, built the profile on 2026-08-16, and read its career site (Greenhouse) hourly since. Headcount is from LinkedIn.
Who should I write to at Placer.ai?
The people are behind the login: decision makers by function, verified at the mail server when you open them. 0 public role addresses from the site are there too.
Get this company your way
The same data as a search, over MCP and the API, as bulk files, or pushed to you as it changes.
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