Top Program and Project Management Jobs

Leads complex Agentic AI programs from planning and prototyping through production deployment. Partners with Product, Engineering, AI Research, platform, developer experience, and external partners to coordinate delivery, manage risks, resolve blockers, align stakeholders, and improve program processes. Translates technical AI/ML tradeoffs into decisions and action plans while building scalable operational practices that accelerate reliable delivery of AI capabilities.

Own complex, non-standard, and high-value deal execution from quoting through contracting and quote-to-cash. Partner with Sales, Finance, Legal, and Revenue Operations to resolve issues, enforce pricing and revenue policies, maintain CRM data quality, and improve deal desk processes. Define CRM and CPQ system requirements, lead automation and AI-enabled process improvements, optimize policies and playbooks, and mentor analysts while presenting data-driven recommendations to senior stakeholders.

Own end-to-end projects across DigitalOcean’s go-to-market systems, including implementations, integrations, automations, data flows, Salesforce configuration, and AI-powered workflows. Handle tier 2 escalations, troubleshoot cross-system issues, coordinate with vendors, contribute to solution design, document reusable patterns, and mentor an engineer. The role requires deep Salesforce expertise, integration and API experience, SQL and warehouse fluency, familiarity with code, and the ability to deliver durable production solutions.

Owns end-to-end projects across DigitalOcean’s go-to-market systems, including implementations, integrations, automations, data flows, Salesforce configuration, tier 2 troubleshooting, and AI-powered workflows. The role partners with technical program management and engineering stakeholders on solution design, coordinates with vendors, resolves root causes, documents reusable patterns, and mentors an engineer. Systems include Salesforce, Outreach, Planhat, DealHub, Clay, Snowflake, and related integrations.

Drive technical infrastructure programs spanning data center build-outs, hardware deployments, capacity planning, and operational initiatives. Coordinate Product, Engineering, infrastructure teams, supply chain, facilities, vendors, and networking groups. Own planning, execution, risk management, stakeholder alignment, communication, follow-through, and process improvement to deliver cloud and AI infrastructure reliably and efficiently.

Leads global data center design and deployment teams responsible for layouts, rack elevations, cabling, BOMs, installation packages, scheduling, budgets, contractors, commissioning, and operational handoff for AI/GPU infrastructure. Establishes repeatable deployment standards, manages cross-functional coordination, drives defect resolution and process improvements, and develops team talent across concurrent international programs.