Product Development Operations Director

Position Summary

Role and Responsibilities

KEY RESPONSIBILITIES

1. Operating Cadence & Portfolio Planning

• Design implement and own theend-to-end operating cadencefor the product and engineering organization including annual planning cycles roadmap reviews and executive stakeholder readouts.
• Driveportfolio-level planningprocesses that align product strategy with business objectives resource capacity and technical dependencies.
• Establish and manageintake prioritization and trade-off frameworksto ensure the highest-impact work is funded and sequenced.
• Facilitatecross-functional and cross-site roadmap alignmentacross Product Engineering Design and Business stakeholders.

2. Process Optimization & Automation

• Identify design and implementprocess improvementsacross the product development lifecycle from ideation through release and post-launch review.
• Championautomation-first thinking eliminate manual repetitive operational overhead through workflow automation scripting and intelligent tooling.
• LeverageGenerative AI (GenAI)capabilities to accelerate operational processes including (but not limited to):
  • Automated status reporting and stakeholder communications
  • AI-assisted sprint/release documentation
  • Predictive analytics for delivery risk and capacity forecasting
• Build and maintainplaybooks templates and standardized workflowsthat create consistency without stifling team autonomy.

3. Agile Transformation & Delivery Excellence

• Lead and evolveagile practices(scrum SAFe etc.) across multiple product and engineering teams to optimize for speed quality and predictability.
• Partner with Engineering Leadership to drivecontinuous improvementin delivery velocity cycle time lead time and flow efficiency.
• Build Agile Community of practice that serves as a grassroots engine for learning alignment and continuous improvement around Agile practices.

4. Tooling & Technology for Operational Excellence

• Manage the operational tech stack ensuring consistent tooling adoption (e.g. Jira Confluence) and maintaining data accuracy and governance.
• Own theproduct development toolchain strategy evaluate implement and optimize tools for portfolio management collaboration documentation and reporting.
• Stay current on emergingAI/ML-powered DevOps and product ops toolingand bring forward recommendations for adoption.

5. Analytics Metrics & Governance

• Define and maintain aproduct development metrics including KPIs for delivery performance (velocity throughput cycle time defect rates) planning accuracy and operational health.
• Build and ownexecutive-grade dashboards and reportingthat provide real-time data-driven visibility into roadmap execution resource utilization and risk.
• Establishgovernance mechanisms review cadences escalation paths that ensure accountability.
• Report regularly to senior leadership onportfolio health delivery performance and operational maturitywith actionable insights and recommendations.

6. Cross-Functional Leadership & Change Management

• Serve as theoperational connective tissuebetween Product Engineering Design Data QA and Business stakeholders.
• Leadchange managementfor new processes tools and ways of working driving adoption through influence communication and demonstrated value.
• Build and foster aculture of operational discipline transparency and continuous improvement.
• If applicable Build lead and develop a team ofProgram Managers Delivery Managers or Product Operations Analysts.

Required

Core:

• 10 yearsof experience in product operations program management technical program management agile delivery.
• 3 yearsin a leadership or senior individual contributor role driving operational excellence acrossmultiple product/engineering teams
• Deep expertise inAgile/Lean methodologies(Scrum Kanban SAFe Lean Portfolio Management) with hands-on experience in agile transformation.
• Demonstrated experience designing and implementingplanning cadences portfolio management processes and governance frameworksat scale.
• Proven track record of leveragingautomation tooling and data analyticsto drive operational efficiency and eliminate waste.
• Hands-on experience withproduct/project management tools(Jira and Confluence) including advanced configuration reporting and integrations.
• Stronganalytical and quantitative skills comfortable building metrics frameworks dashboards and deriving insights from delivery data.
• Excellentcommunication and facilitation skills ability to operate effectively from the team level to the C-suite.
• Experience working infast-paced high-growth environmentswith rapidly evolving priorities.

Technical:

• Experience buildingautomated reporting pipelines pulling data from multiple sources (Jira Git CI/CD spreadsheets) into unified dashboards and stakeholder-ready outputs.
• Working knowledge ofscripting languages(Python JavaScript or similar) for building custom automation scripts data extraction and API integrations.
• Demonstrated hands-on experienceapplyingGenerative AItools and techniques to real-world operational and business workflows not just conceptual familiarity.
• Awareness ofresponsible AI practices including data privacy bias mitigation hallucination management and governance considerations when deploying GenAI in enterprise workflows.
• Ability toevaluate pilot and scaleemerging GenAI tools and capabilities acting as the organizations operational AI champion.

Skills and Qualifications

Preferred

• Experience in thead-tech or digital mediaindustry.
• Working knowledge of or hands-on experience applyingGenerative AI tools(e.g. Claude ChatGPT GitHub Copilot custom LLM integrations) to operational workflows.
• Experience building or implementingAI/ML-powered automationfor reporting forecasting or workflow optimization.
• Familiarity withdata engineering and data product developmentlifecycles.
• Background in or strong understanding ofsoftware engineering practices CI/CD and DevOps principles.
• Experience withBI/analytics tools(EasyBI Looker Power BI or similar) for building operational dashboards.
• Certified SAFe Program Consultant (SPC)PMI-ACPCSM/CSP or equivalent certifications.
• MBA or advanced degree in a relevant field is a plus.

Salary Range Pay Transparency: Compensation for this role for candidates based in Mountain View CA is expected to be between Base range: $220000 $240000. Actual pay will be determined considering factors such as relevant skills and experience and comparison to other employees in the role. Regular full-time employees (salaried or hourly) have access to benefits including: Medical Dental Vision Life Insurance 401(k) Employee Purchase Program Tuition Assistance (after 6 months) Paid Time Off Student Loan Program (after 6 months) Wellness Incentives and many more.

To ensure a fair and transparent recruitment process please do not use GenAI tools during your interview unless explicitly permitted; failure to adhere to these guidelines may result in disqualification from the recruitment process. This includes any software application or system that uses AI to assist to generate responses solve problems provide information in the interview and recording tools

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