Responsibilities
- Partner with product and engineering teams across Central and Standalone Products to identify operational inefficiencies and design scalable solutions that improve team velocity and product quality
- Build and maintain dashboards, reporting frameworks, and metrics systems that provide visibility into product health, launch readiness, and key performance indicators
- Conduct structured data analysis using SQL and business intelligence tools to surface trends, diagnose issues, and inform product and operational decisions
- Define and manage operational rhythms including planning cycles, cross-functional syncs, and progress tracking mechanisms for the product portfolio
- Translate ambiguous business and product questions into well-scoped analytical workstreams with clear outputs and stakeholder-ready deliverables
- Collaborate with cross-functional partners in data science, finance, and operations to align on shared metrics definitions and reporting standards
- Support product launch operations by coordinating readiness reviews, tracking dependencies, and communicating status to relevant stakeholders
- Develop written materials including executive summaries, operational reviews, and strategic briefs that communicate product performance and operational priorities
- Identify opportunities to automate manual workflows and reporting processes, leveraging available tooling to reduce operational overhead
- Contribute to team-level planning by synthesizing input from multiple product areas and helping prioritize initiatives based on impact and feasibility
Minimum Qualifications
- Bachelor's degree in a directly related field, or equivalent practical experience
- 6+ years of experience in product operations, business operations, strategy, or a related analytical function
- Experience using SQL to extract, manipulate, and analyze large datasets to answer business and product questions
- Experience building dashboards or reporting frameworks using business intelligence tools to track product or operational metrics
- Experience managing cross-functional projects and communicating progress and findings to stakeholders across product, engineering, and business functions
- Experience breaking down ambiguous problems into structured analytical frameworks and delivering actionable recommendations
Preferred Qualifications
- Familiarity with product development lifecycles and experience coordinating operational processes around product launches or roadmap planning
- Demonstrated ability to integrate AI tools to optimize workflows and drive measurable impact such as efficiency gains or quality improvements
- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
- Experience with Python or other scripting languages for data analysis or workflow automation
- Experience supporting a portfolio of multiple products or product lines simultaneously within a large technology organization
- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
$123,000/year to $179,000/year + bonus + equity + benefits
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