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Lead design and delivery of platform orchestration systems to deploy, manage, and observe services across Slack's infrastructure. Build IaC solutions, CI/CD tooling, automation for incidents and data/artifact workflows, and integrate platform capabilities with engineering teams to improve reliability, scalability, compliance, and cost-efficiency.

Build and scale infrastructure automation and operations solutions that detect, prioritize, and remediate vulnerabilities. Develop AI/ML-driven analysis and anomaly detection, integrate security tooling (e.g., Tenable, CrowdStrike), and deliver CI/CD-enabled automation frameworks across large-scale cloud environments (AWS/GCP/Azure). Collaborate with engineers, security, and operations to harden systems and operationalize vulnerability management at scale.

Design, build, and deploy production agentic AI solutions for public sector, nonprofit, and education customers. Own end-to-end technical components, integrate data pipelines (Salesforce Data 360, Snowflake, Databricks), craft prompts/LLM tooling, monitor agent performance, and co-deliver customer-facing projects with Deployment Strategists. Travel ~25% and deliver measurable business outcomes.

Lead implementations and adoption of the Qualified conversational marketing platform; define technical architecture and data models; consult with enterprise stakeholders; drive adoption through coaching and QBRs; analyze customer health to secure renewals and surface product feedback for roadmap influence.

Lead end-to-end engagements for public sector, nonprofit, and education customers to define agentic AI strategy, architect Salesforce-based solutions (Data Cloud, Agentic AI), manage deployments and adoption, coordinate delivery teams, and drive measurable value while providing product feedback.

The Staff Machine Learning Engineer will design, train, and deploy NLP models, optimize processes, and mentor engineers. The role demands expertise in model training and productionization.

Lead incident detection and resolution, design automation and self-healing systems, build observability and AI/ML-powered operational tooling, define SLOs/SLIs and error budgets, mentor engineers, and operate in a 24/7 global SRE model to improve reliability and reduce toil.

Seeking Senior, Lead, or Principal Engineers for backend roles in building scalable AI-powered supply chain solutions, focusing on data integration and platform architecture.

Embed with product teams to structure and execute 0-to-1 projects: plan milestones, manage cross-functional dependencies, run cadences, surface risks, coach PMs, and drive continuous improvement to increase delivery velocity.

The AFD360 Solution Engineer focuses on guiding customers through technical evaluation, activation, and production readiness of Agentforce and Data Cloud solutions, ensuring successful adoption and scaling outcomes.