Placer.ai
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
Artificial Intelligence • Big Data • Software • Analytics • Business Intelligence • Big Data Analytics
Investigate data quality questions and customer-reported discrepancies using SQL, Python, Databricks, and analytical notebooks. Identify anomalies, root causes, and methodological limitations; design rigorous QA and validation processes; and collaborate with Data Science, Engineering, Product, and Commercial teams. Translate complex findings into clear business explanations, improve monitoring and data quality methodologies, and independently drive ambiguous investigations to resolution while verifying AI-assisted analyses.
Artificial Intelligence • Big Data • Software • Analytics • Business Intelligence • Big Data Analytics
Leads financial planning, forecasting, budgeting, and performance analysis across the company. Builds and improves financial models, analyzes KPIs and budget variances, partners with R&D, product, and business teams, strengthens financial controls, and provides insights that guide strategic decisions. The role also leads cross-functional projects and supports reporting and process improvements in a fully remote, high-growth SaaS environment.
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.
