Director – Professional Services

Posted Sep 15

This is a fully remote position, open to applicants in United States.

πŸ“‹ Description

β€’ Oversee the complete delivery of Services from the initial solution scoping to implementation, customer acceptance, production deployment, and handoff for adoption readiness.

β€’ Take responsibility for strategic and intricate customer programs, acting as the senior Services executive for essential engagements.

β€’ Collaborate with Sales, Solution Engineering, Product, Engineering, Support, Finance, Commercial, and client teams.

β€’ Develop and expand a technically proficient Services organization for enterprise implementations and AI/agent deployments.

β€’ Build team capabilities in areas such as data ingestion, APIs, integrations, platform configuration, supply-chain mapping, analytics, AI workflows, agent design, testing, observability, and enterprise AI deployment.

β€’ Manage enterprise AI and agent deployments from initial discovery and prototyping to secure and reliable production.

β€’ Establish engagement protocols for Services and Engineering while minimizing unnecessary Engineering dependencies.

β€’ Design repeatable and scalable delivery models for scoping, onboarding, implementation, integrations, AI/agent deployment, acceptance, hypercare, Managed Services, and post-go-live adoption.

β€’ Oversee Services utilization, billability, revenue, delivery margin, resource planning, and change-order management.

β€’ Create capacity models that encompass implementation resources, strategic programs, Engineering dependencies, U.S./India delivery, and future hiring needs.

β€’ Develop ongoing Managed Services offerings, including validation, analytics, technical enablement, compliance support, AI/agent optimization, administration, and adoption assistance.

β€’ Ensure handoffs for adoption readiness by providing clear completion timelines, usage expectations, success criteria, technical challenges, and post-go-live ownership.


⛳️ Requirements

β€’ A minimum of 10 years of experience in Professional Services, enterprise SaaS implementation, consulting, Managed Services, customer delivery leadership, or roles focused on forward-deployed enterprise technology.

β€’ Proven experience in leading complex enterprise customer programs from discovery and solution design through to production deployment, adoption, and measurable outcomes.

β€’ Experience in building or scaling Services teams and delivery models for technically complex SaaS, data, AI, or agentic products.

β€’ Strong operational discipline regarding governance, resource allocation, utilization, delivery quality, profit margins, and change management.

β€’ Comprehensive knowledge of contemporary enterprise data platforms and architectures.

β€’ Familiarity with APIs, enterprise integrations, data ingestion, analytics workflows, and cloud computing environments.

β€’ Practical knowledge of generative AI and agentic systems, including use-case discovery, workflow and agent design, orchestration, integrations, evaluation/testing, guardrails, observability, human-in-the-loop patterns, and readiness for production.

β€’ Experience collaborating directly with enterprise customers to identify valuable AI use cases and transition them from pilot phases to large-scale production.

β€’ Strong comprehension of deterministic software delivery as well as probabilistic AI systems, including evaluation, monitoring, iteration, and operational guardrails.

β€’ Ability to convert enterprise business challenges into actionable AI/agent solutions and assess when specialized Engineering support is necessary.

β€’ Strong executive communication skills and customer-facing leadership capabilities.

β€’ Solid commercial acumen and understanding of Services economics.

β€’ Experience collaborating across functions including Sales, Product, Engineering, Support, post-go-live customer teams, and Finance.

β€’ Background in leading distributed or global delivery teams.

β€’ Preference for candidates with Databricks experience.

β€’ Candidates with extensive Databricks experience, enterprise AI, agentic AI, developer platforms, data-intensive SaaS, supply chain, procurement, manufacturing, logistics, compliance, or risk management expertise will be highly regarded.


🏝️ Benefits

β€’ Fully remote work arrangement.

β€’ Comprehensive benefits package for health, wealth, and well-being.

β€’ Opportunities for in-person connections.

β€’ Opportunities for technical advancement.

β€’ A collaborative and empowering work culture.

β€’ Ownership and a voice in shaping impactful technology.

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