Sr Staff Product Operations Manager

About the role

The owns the design and governance of the internal operational ecosystem that powers the data and AI platform. This is a high-visibility leadership position responsible for orchestrating the intersection between technical innovation, product lifecycle maturity, and global Go-to-Market acceleration. The role moves beyond process management to create a formal Operational Association that aligns engineering execution with commercial strategy. You will act as the strategic architect, designing frameworks that keep the organization agile while ensuring product investments are data-driven and transparent. This position is intended for a strategic thinker who thrives in the space between technical roadmaps, financial requirements, and enterprise-scale operations. You will synthesize complex signals into coherent business narratives that guide portfolio decisions and long-term platform evolution. The role ensures that product lifecycle milestones integrate directly with field readiness and revenue velocity, enabling predictable and scalable market impact. You will build the connective tissue that allows Engineering, Product, and GTM teams to operate with a unified language of success.

Key facts

What you'll do

• Orchestrate the strategic engagement model between Engineering, Product, and Go-to-Market teams to define how work moves from ideation to implementation.
• Analyze intricate product and operational systems, translating them into clear diagrams, playbooks, and ownership maps that clarify responsibilities and decision rights.
• Architect and manage end-to-end workflows that coordinate cross-functional teams, establish quality gates, and maintain traceability from initial idea to deployed solution.
• Design and govern formal review rituals that surface risks early, validate assumptions rigorously, and align deliverables with commercial timelines and revenue targets.
• Evaluate business investments using consultant-level rigor, assessing resource allocation, unit economics, and opportunity costs to optimize the scaling of the Data and AI platform.
• Partner with Analytics and Support to drive operational alignment, product readiness, and continuous improvement across support workflows and customer feedback loops.
• Translate platform metrics and data signals into compelling narratives that inform portfolio choices, shape future investment theses, and guide strategic decision-making.
• Lead the evolution of the product development lifecycle by identifying structural bottlenecks and designing scalable solutions that enhance throughput without sacrificing technical excellence.
• Champion decision traceability by explicitly linking outcomes to inputs, costs, and strategic rationale to ensure transparency and accountability across senior stakeholders.
• Build and sustain partner ecosystems by mapping dependencies, negotiating commitments, and maintaining interoperable standards that enable efficient execution at scale.
• Optimize operating models by diagnosing delays, removing structural blockers, and implementing changes that improve cycle efficiency and reduce time-to-value.
• Act as the authoritative bridge between technical execution and business value, ensuring a unified language of success that resonates across all levels of the organization.
• Leverage tools such as Data Canvas, Databricks, the Data Intelligence Platform, Snowflake, Slack, Jira, and Microsoft 365 to operationalize insights and drive measurable process improvements.
• Mentor and influence peers and stakeholders by demonstrating consultant-level rigor in analyzing business cases, trade-offs, and strategic alternatives.

Requirements

• Bring a minimum of five years of experience in product operations or a similar role within complex technical organizations, demonstrating a proven ability to manage complexity.
• Read intricate systems and translate them into clear diagrams, playbooks, and ownership maps that others can follow and act upon.
• Communicate effectively with executives, engineers, and analysts using precise, jargon-free language that cuts through ambiguity.
• Possess hands-on experience with Databricks products, the Data Intelligence Platform, and the Data Canvas to understand how solutions are built and delivered.
• Show the ability to operate with autonomy and judgment in ambiguous environments while maintaining a disciplined approach to execution.
• Demonstrate strong analytical skills and comfort with data, enabling you to turn metrics into insights and insights into action.
• Collaborate seamlessly across functions, building trust and alignment among Support, Product, Engineering, and Analytics teams.
• Maintain a high level of integrity and judgment when handling confidential information and strategic business decisions.
• Be comfortable working in a fast-paced, dynamic environment where priorities evolve and adaptability is essential.
• Commit to a flexible work model that includes office-based work in Bellevue, Washington, and Seattle, Washington, as required for operational success.

Nice to have

• Experience in public cloud marketplaces and usage-based models within subscription businesses is preferred.

Practical notes

• Location details restrict work to Bellevue, Washington, and Seattle, Washington.
• Compensation details, including base salary, bonus target, and equity grant, are included as specified in the source.
• No additional application page is referenced; interested candidates should follow internal procedures defined by Databricks.
• The role requires long-term commitment to operational excellence and strategic alignment with Databricks' product vision.
• Travel is not specified, but adherence to the defined work locations is expected.
• No visa sponsorship details are provided in the source, so candidates should review eligibility based on their work authorization.
• The hours are full-time, as indicated by the engagement type.
• Deadlines for submission or review are not included in the source, so candidates should act promptly when interested.