Teams at Placer.ai

Own custom recurring data feeds from requirements through delivery and maintenance. Develop methodologies and acceptance criteria, build tested PySpark pipelines on Databricks using Airflow and Terraform, and ensure data quality. Partner with customer-facing teams, Solution Engineers, R&D, and Data Science to deliver reusable data products. Explain statistical concepts and limitations to nontechnical audiences while independently managing cross-team deliverables and deadlines.

Leads company-wide pricing and packaging strategy across products and verticals. Sets monetization vision, discounting guardrails, rate cards, bundling approaches, and pricing approval processes. Partners with executive, product, sales, marketing, customer success, and finance leaders to drive alignment, improve deal velocity, increase profitability, and support retention. Builds financial models, reporting, enablement programs, and implementation plans while adapting strategies to company goals.

Sell Placer.ai’s SaaS location analytics platform to large organizations through complex, multi-stakeholder sales cycles. Responsibilities include prospecting and managing pipeline, conducting 20+ platform demos monthly, collaborating with pre- and post-sales teams, maintaining accurate forecasts, and consistently exceeding sales goals. The role is fully remote, requires 10% travel for conferences, and involves managing 30+ weekly meetings when fully ramped.