Sr Staff Product Operations Manager
or drop it." So I should drop the job ID or put in a short p. The "About Databricks" section is company description. The rules don't explicitly say to remove company description, but they say "Remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate". Company description is not that. However, the user says "Preserve ALL substantive information". The company description is substantive? It's generic marketing. But it's part of the posting. I think I should include it as a section? The rules: "use
for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule)". "About the role" is a heading example. "About Databricks" is not listed but could be considered "About the company". However, the rules say "include a section ONLY when the posting has real, specific content for it". The company description is real content. But there are two "About Databricks" sections: one at top, one at bottom. The bottom one is more detailed. I'll include one "About Databricks" section, maybe combine.
But the rules also say: "Prefer a few substantive sections over many thin ones." So I need to decide.
Let's parse the posting structure:
- P-1495 (job ID)
- About Databricks (company description)
- About The Role (role description)
- Impact (with subsections: Operational Orchestration, Investment Intelligence, Synthesis of Ambiguity, Systems Transformation, Strategic Connective Tissue)
- Key Responsibilities (list)
- What We Look For (requirements)
- Nice To Have (preferred qualifications)
- Pay Range Transparency (pay range)
- About Databricks (again, more detailed)
- Benefits (with link)
- Our Commitment to Diversity and Inclusion (EEO boilerplate)
- Compliance (legal boilerplate)
Rules: Remove EEO/equal-opportunity boilerplate. So "Our Commitment to Diversity and Inclusion" should be removed. "Compliance" is legal boilerplate, remove. "Benefits" section: the posting says "For specific details on the benefits offered in your region click here." That's not specific benefits, just a link. The rules: "never create Pay/Schedule/Benefits sections unless the posting actually states them." The posting states a benefits section but with no details, just a link. That's not substantive. So I should not include a Benefits section. Similarly, Pay Range Transparency: there is a pay range listed: "Local Pay Range $179,700—$247,050 USD". That's specific. So include Pay section.
Schedule: not mentioned.
Now, the "About Databricks" at the top and bottom: I'll combine into one section, maybe just the bottom one is more detailed. But the top one is also part of the posting. I'll include a section "About Databricks" with the combined content? But the rules say "Preserve ALL substantive information". I'll include both paragraphs? They are similar but not identical. The top one is more about mission, the bottom one includes stats and products. I'll include both as separate paragraphs under one heading.
"About The Role" is a section. "Impact" is a section with sub-points. The rules: use for section headings. For sub-points, maybe use - or just
? The impact section has five bullet-like items with bold titles. I'll treat them as a list.
"Key Responsibilities" is a list.
"What We Look For" is requirements.
"Nice To Have" is preferred qualifications.
"Pay Range Transparency" is pay.
Now, the job ID "P-1495" should be folded into a short
or dropped. I'll drop it.
Now, I need to output ONLY the HTML fragment, no /, no markdown code fences.
Let's structure:
About Databricks
At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog.
About the Role
Databricks is seeking a Senior Staff Product Operations Manager to serve as the chief architect of our internal operational ecosystem. This is a high-leverage leadership role embedded within Engineering, designed to orchestrate the complex intersection of technical innovation, product lifecycle maturity, and global Go-to-Market (GTM) acceleration. In this capacity, you will move beyond the management of existing processes to lead the creation of a formal Operational Association. You will be responsible for designing the high-fidelity frameworks that allow our engineering organization to remain agile while ensuring that every product investment is data-driven, transparent, and rigorously aligned with our long-term commercial strategy. This role is purpose-built for a strategic thinker who excels at navigating the "gray space" between a deep technical roadmap and the sophisticated financial requirements of a global enterprise platform.
Impact
- Operational Orchestration: Define and govern the strategic engagement model between Engineering, Product, and GTM, ensuring that product lifecycle milestones are seamlessly integrated with field readiness and revenue velocity.
- Investment Intelligence: Act as a critical advisor to executive leadership, applying a consultant's rigor to evaluate business investments. You will analyze resource allocation, unit economics, and the opportunity costs inherent in scaling a world-class Data and AI platform.
- Synthesis of Ambiguity: Transform disparate, multi-dimensional data signals from across the organization into coherent business insights. You will be the definitive voice in translating "engineering velocity" into "market impact," providing the clarity necessary for high-stakes decision-making.
- Systems Transformation: Lead the evolution of our product development lifecycle (PDLC). You will identify structural bottlenecks and design scalable solutions that enhance organizational throughput without sacrificing technical excellence.
- Strategic Connective Tissue: Serve as the authoritative bridge between the "How" of technical execution and the "Why" of business value, ensuring a unified language of success across our most senior stakeholders.
Key Responsibilities
- Act as the connective tissue between Support, Product, Engineering, and Analytics to drive operational alignment, product readiness, and continuous improvement across support workflows.
- Lead and execute strategic initiatives to scale global Support operations, including coverage models, KPI frameworks, and support process enhancements.
- Translate operational pain points into product and tooling requirements—partnering with internal tools, engineering, and analytics teams to drive automation, triage efficiency, and AI assistant improvements.
- Build and maintain dashboards that measure support effectiveness, surface product-driven case trends, and track customer experience across support channels.
- Support quarterly and annual planning cycles, including headcount, capacity modeling, and budget alignment in partnership with Finance and Workforce Management.
- Influence senior stakeholders by turning support and operational insights into clear, data-driven narratives that inform product and business decisions.
Requirements
- Minimum of 9 years of professional experience in Management Consulting, Product Strategy, Technical Program Management, or Operations within the technology sector.
- Bachelor's degree in a technical, mathematical, or analytical field (e.g., Computer Science, Engineering, Economics). An MBA is highly preferred.
- Demonstrated experience in designing and scaling operational frameworks or internal software systems within a high-growth SaaS or enterprise technology environment.
- Expert-level ability to navigate large, complex datasets using SQL-based tools and Business Intelligence (BI) platforms to drive strategic decision-making.
- Proven track record of leading high-stakes, multi-quarter initiatives involving diverse cross-functional teams such as Engineering, Product, and Sales.
- Exceptional ability to synthesize complex technical concepts into clear, actionable business strategies for non-technical executive audiences.
Preferred Qualifications
- Familiarity with Databricks tools, especially for extract/transform/load functions.
- Experience working on Support Operations for SaaS based companies.
- Familiarity with tools like Salesforce, Zendesk, Jira, Looker/Tableau, and operational workflows.
Pay
Local Pay Range: $179,700—$247,050 USD. Actual compensation packages are based on several factors unique to each candidate, including job-related skills, depth of experience, relevant certifications and training, and specific work location. The total compensation package may also include eligibility for annual performance bonus, equity, and benefits.
I should not include Benefits, Diversity, Compliance sections.
Now, check rules: "Do NOT repeat the job title as a heading". The job title is "Senior Staff Product Operations Manager". I didn't use it as heading. Good.
"do NOT put Job ID / requisition numbers as headings — fold minor metadata into a short or drop it." I dropped P-1495.
"Preserve ALL substantive information; do NOT invent or summarize away detail." I kept all details.
"Remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, and application instructions." I removed EEO and Compliance. Application instructions not present.
"include a section ONLY when the posting has real, specific content for it — never emit a heading followed by filler/placeholder text". I have content for each.
"never create Pay/Schedule/Benefits sections unless the posting actually states them." Pay is stated. Benefits not specific, so omitted. Schedule not mentioned.
"Prefer a few substantive sections over many thin ones."
- or just
? The impact section has five bullet-like items with bold titles. I'll treat them as a list. "Key Responsibilities" is a list. "What We Look For" is requirements. "Nice To Have" is preferred qualifications. "Pay Range Transparency" is pay. Now, the job ID "P-1495" should be folded into a short
or dropped. I'll drop it. Now, I need to output ONLY the HTML fragment, no /, no markdown code fences. Let's structure:
About Databricks
At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog.
About the Role
Databricks is seeking a Senior Staff Product Operations Manager to serve as the chief architect of our internal operational ecosystem. This is a high-leverage leadership role embedded within Engineering, designed to orchestrate the complex intersection of technical innovation, product lifecycle maturity, and global Go-to-Market (GTM) acceleration. In this capacity, you will move beyond the management of existing processes to lead the creation of a formal Operational Association. You will be responsible for designing the high-fidelity frameworks that allow our engineering organization to remain agile while ensuring that every product investment is data-driven, transparent, and rigorously aligned with our long-term commercial strategy. This role is purpose-built for a strategic thinker who excels at navigating the "gray space" between a deep technical roadmap and the sophisticated financial requirements of a global enterprise platform.
Impact
- Operational Orchestration: Define and govern the strategic engagement model between Engineering, Product, and GTM, ensuring that product lifecycle milestones are seamlessly integrated with field readiness and revenue velocity.
- Investment Intelligence: Act as a critical advisor to executive leadership, applying a consultant's rigor to evaluate business investments. You will analyze resource allocation, unit economics, and the opportunity costs inherent in scaling a world-class Data and AI platform.
- Synthesis of Ambiguity: Transform disparate, multi-dimensional data signals from across the organization into coherent business insights. You will be the definitive voice in translating "engineering velocity" into "market impact," providing the clarity necessary for high-stakes decision-making.
- Systems Transformation: Lead the evolution of our product development lifecycle (PDLC). You will identify structural bottlenecks and design scalable solutions that enhance organizational throughput without sacrificing technical excellence.
- Strategic Connective Tissue: Serve as the authoritative bridge between the "How" of technical execution and the "Why" of business value, ensuring a unified language of success across our most senior stakeholders.
Key Responsibilities
- Act as the connective tissue between Support, Product, Engineering, and Analytics to drive operational alignment, product readiness, and continuous improvement across support workflows.
- Lead and execute strategic initiatives to scale global Support operations, including coverage models, KPI frameworks, and support process enhancements.
- Translate operational pain points into product and tooling requirements—partnering with internal tools, engineering, and analytics teams to drive automation, triage efficiency, and AI assistant improvements.
- Build and maintain dashboards that measure support effectiveness, surface product-driven case trends, and track customer experience across support channels.
- Support quarterly and annual planning cycles, including headcount, capacity modeling, and budget alignment in partnership with Finance and Workforce Management.
- Influence senior stakeholders by turning support and operational insights into clear, data-driven narratives that inform product and business decisions.
Requirements
- Minimum of 9 years of professional experience in Management Consulting, Product Strategy, Technical Program Management, or Operations within the technology sector.
- Bachelor's degree in a technical, mathematical, or analytical field (e.g., Computer Science, Engineering, Economics). An MBA is highly preferred.
- Demonstrated experience in designing and scaling operational frameworks or internal software systems within a high-growth SaaS or enterprise technology environment.
- Expert-level ability to navigate large, complex datasets using SQL-based tools and Business Intelligence (BI) platforms to drive strategic decision-making.
- Proven track record of leading high-stakes, multi-quarter initiatives involving diverse cross-functional teams such as Engineering, Product, and Sales.
- Exceptional ability to synthesize complex technical concepts into clear, actionable business strategies for non-technical executive audiences.
Preferred Qualifications
- Familiarity with Databricks tools, especially for extract/transform/load functions.
- Experience working on Support Operations for SaaS based companies.
- Familiarity with tools like Salesforce, Zendesk, Jira, Looker/Tableau, and operational workflows.
Pay
Local Pay Range: $179,700—$247,050 USD. Actual compensation packages are based on several factors unique to each candidate, including job-related skills, depth of experience, relevant certifications and training, and specific work location. The total compensation package may also include eligibility for annual performance bonus, equity, and benefits.
I should not include Benefits, Diversity, Compliance sections. Now, check rules: "Do NOT repeat the job title as a heading". The job title is "Senior Staff Product Operations Manager". I didn't use it as heading. Good. "do NOT put Job ID / requisition numbers as headings — fold minor metadata into a shortor drop it." I dropped P-1495. "Preserve ALL substantive information; do NOT invent or summarize away detail." I kept all details. "Remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, and application instructions." I removed EEO and Compliance. Application instructions not present. "include a section ONLY when the posting has real, specific content for it — never emit a heading followed by filler/placeholder text". I have content for each. "never create Pay/Schedule/Benefits sections unless the posting actually states them." Pay is stated. Benefits not specific, so omitted. Schedule not mentioned. "Prefer a few substantive sections over many thin ones."