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Design, build, and scale feature stores and data pipelines for offline, online, and streaming ML use cases. Implement streaming architectures, feature governance, lineage, CI/CD automation, and monitoring. Collaborate with data scientists and ML engineers to enable reproducible feature discovery, deployment, and real-time inference.

Serve as a Subject Matter Expert for Salesforce Data 360, advising customers on data integration, identity resolution, data management, and AI-related data strategies. Deliver technical solutions, lead architectural discussions, manage multiple strategic clients, drive CSAT and utilization targets, and support knowledge sharing and best practices across Professional Services.

Provide overnight GovCloud support for strategic government Salesforce customers, resolve high-severity cases across multiple Salesforce products, perform proactive monitoring and Splunk analysis, troubleshoot integrations (APIs/Apex/Visualforce), liaise with R&D and infrastructure, create knowledge base content, mentor others, and participate in projects to improve incident prediction and prevention.

Lead, coach, and grow a team of Business Development Representatives or Account Executives to generate pipeline and revenue for Salesforce products. Hire, train, develop talent, create industry-specific pipeline programs, collaborate with Marketing, Sales Leadership, Operations, and Partners, forecast results, and drive process and productivity improvements to meet team and organizational quotas.

Lead recruitment, onboarding, and activation of strategic partners for Slack's platform, focusing on AI agents, integrations, and monetization. Drive partner-driven solutions, GTM plans, and cross-functional alignment with product, engineering, legal, and go-to-market teams to scale partner ecosystems and platform adoption.

Support Emerging Business sales strategy through quantitative analysis, forecasting, performance tracking, and operational problem solving. Build metrics, prepare executive presentations, troubleshoot processes, and recommend data-driven improvements across sales operations.

Lead GTM execution for Agentforce and Data 360, designing territory/quota plans, driving pipeline generation and enablement, owning operational cadence and analytics, coordinating cross-functional teams, and building a strategy "SWAT" team to accelerate consumption sales and scale deals.

Lead development of scalable, low-latency agentic analytics systems using LLMs and generative AI. Collaborate with product, engineering, and research to design, iterate, evaluate, and deploy production-grade full-stack solutions, implement logging/tracing, optimize streaming and asynchronous processing, and apply DevOps and cloud best practices.

The Named Account Executive is responsible for driving new business in existing accounts and new markets, developing key stakeholder relationships, and assisting in account planning while ensuring customer satisfaction and strategic alignment with Salesforce's solutions.

Drive new business and revenue growth for MuleSoft in state and local government accounts. Hunt for opportunities, lead pursuit teams, forecast sales, and build strategic enterprise relationships.