Jobs at Standard Metrics

Manage the complete post-sales customer lifecycle, including deployment, adoption, retention, renewals, and upsells. Build strategic relationships with stakeholders, drive platform utilization, lead partnership reviews, identify churn risks, forecast revenue, and advocate for customer needs with Product and Engineering. The role requires executive communication, relationship management, value realization, and independent work in a high-growth environment.

Drive new business for an AI-driven financial data platform across an assigned territory. Manage opportunities through the full sales cycle, develop territory strategies, meet revenue targets, negotiate and close mid-market deals, and maintain account updates. Partner cross-functionally with Marketing, Product, Solutions Architects, SDRs, and Customer Success while providing customer feedback and supporting satisfaction. Travel for client visits, conferences, and networking events.

Serve as the technical owner for customer-facing data workflows and integrations: build pipelines, write SQL and Python scripts, deploy AI-powered workflows, manage APIs and Snowflake ingestion, and translate repeatable solutions into product requirements while supporting customer success and internal engineering.

Build and maintain the core backend product: design and implement features, take ownership of end-to-end outcomes, iterate and fix bugs without a QA team, collaborate with product on scoping, and contribute to company culture and hiring.