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The Senior Manager, Accounting will lead core accounting processes, ensure compliance with US GAAP, and manage financial reporting in a high-growth environment. This role involves team development, audit management, and process improvement initiatives.

Support FP&A by owning forecasting and reporting in Pigment, building dashboards and KPIs, maintaining data infrastructure, partnering cross-functionally to improve datasets and models, and delivering strategic analysis for senior management.

Provide hands-on technical services and product adoption guidance for enterprise customers; analyze IT operations, recommend configurations and features, lead business reviews, advocate customer needs, and collaborate with product and engineering to drive adoption and best practices.

Lead and coach a team of Commercial Account Executives to exceed sales targets. Hire, train, forecast, and manage pipeline and lead generation. Monitor funnel metrics, facilitate ramping of new hires, and implement coaching to improve team performance.

Lead Datadogs analyst relations for AI and adjacent markets: build analyst relationships, craft AI narratives with Product and Marketing, run briefings and evaluations, prepare executives, synthesize analyst insights for product and go-to-market, and track program impact.

The Principal Partner Solutions Architect manages high-level technical relationships with federal partners, driving technical initiatives and strategies while ensuring Datadog's alignment with partner needs.

The Associate will manage the sales productivity tool ecosystem, drive AI tooling strategy, evaluate new tools, ensure integrations, and improve vendor performance to enhance sales productivity.

The Enterprise Sales Executive will prospect and build relationships in State, Local, and Education sectors, focusing on delivering sales targets, negotiating pricing, and ensuring customer satisfaction. Key responsibilities include managing territory relationships and maintaining forecasting accuracy.

Lead multiple engineering and applied science teams to define technical vision, ship end-to-end AI/ML products, and ensure operational excellence. Drive model training, data pipelines, evaluation, deployment, and production operations while partnering with Product, hiring and developing talent, and building quality and evaluation practices for AI systems.

The role focuses on building partnerships with Global Systems Integrators to drive revenue growth, enabling partners through training and collaboration, and engaging in sales activities to generate new opportunities.