Placer.ai

Placer.ai

HQ
Los Altos
800 Total Employees
Year Founded: 2017

Placer.ai Benefits Overview

Compensation + Benefits

Offers 401(K)

Offers company equity

Offers performance bonuses

Provides family medical leave

Offers health insurance

Offers Health Savings Account (HSA)

Work-Life Balance + Wellbeing

Offers company-sponsored outings

Offers generous PTO

Provides paid sick days

Provides military leave

Provides paid holidays

Provides bereavement leave

Offers unpaid extended leave

Career Growth + Development

Provides customized development tracks

Job training & conferences

Offers apprenticeship programs

Company Culture

Office is pet friendly

Provides free snacks and drinks

Offers a remote work program

Offers diversity-based Employee Resource Groups

Recently posted jobs

One Month AgoSaved
In-Office
Austin, TX, USA
Artificial Intelligence • Big Data • Software • Analytics • Business Intelligence • Big Data Analytics
Own and evolve Placer.ai’s GCP infrastructure, including multi-cluster GKE, Terraform, Atlantis, and ArgoCD GitOps. Improve CI/CD reliability, developer tooling, production environments, observability, incident response, and system scalability. Operate Kubernetes and production databases and queues while partnering with engineering teams on infrastructure design and deployment. Establish new tools, standards, and frameworks for reliable, high-velocity software delivery.
One Month AgoSaved
In-Office
Austin, TX, USA
Artificial Intelligence • Big Data • Software • Analytics • Business Intelligence • Big Data Analytics
The Sales Development Representative is responsible for prospecting leads, qualifying them, and setting up demos for account executives. They will engage with prospects through calls, emails, and social media to develop target accounts.
11 Hours AgoSaved
Remote
United States
Artificial Intelligence • Big Data • Software • Analytics • Business Intelligence • Big Data Analytics
Build and own Placer.ai’s first consumer mobile apps across Android and iOS, including scalable backend services, onboarding, consent and privacy flows, analytics, experimentation, fraud controls, and production reliability. Take the product from prototype through launch and growth, manage app-store submissions, integrate data collection technology, use AI-first development practices, and help hire and mentor the growing engineering team.