Senior Product Intelligence Partner

Act as trusted partner to Product Group leadership teams.

Participate in leadership team meetings and operational reviews.

Develop deep understanding of business objectives, challenges and priorities.

Provide independent, evidence-based perspectives to leadership teams.

Partner with Community of Practice leaders to provide insights into organization-wide trends, opportunities, and areas requiring attention.

Help Communities of Practice identify emerging themes and prioritize improvement initiatives using objective data and evidence.

Develop and maintain a data-driven framework for measuring and understanding software engineering execution health, delivery performance, quality, and organizational effectiveness.

Identify emerging risks, trends and opportunities.

Produce actionable insights rather than reports.

Use AI-enabled analysis to accelerate pattern detection, summarization, anomaly identification, and insight generation while ensuring outputs are explainable, validated, and grounded in trusted data.

Analyze the underlying causes of changes in delivery flow, quality, developer productivity, and team health indicators.

Combine quantitative data with qualitative context.

Distinguish symptoms from systemic causes.

Facilitate fact-based decision making.

Help leadership teams prioritize areas of focus.

Define measurable improvement initiatives.

Establish success measures and outcome indicators.

Track effectiveness of actions over time.

Provide structured feedback into the Product Intelligence platform or insights app so that recurring user needs, data gaps, and adoption blockers are captured and addressed.

Help translate leadership and team-level insight needs into reusable intelligence products, dashboards, narratives, and self-service capabilities.

Partner with the Product Intelligence platform team to continuously improve the insight experience, data quality, and practical usefulness of the platform.

Surface recurring patterns, risks, and opportunities across product groups and engineering functions.

Work closely with Community of Practice leaders to identify systemic challenges and opportunities for improvement.

Provide data-driven insights that help Communities of Practice focus their efforts on the areas with the greatest potential impact.

Contribute to improvement initiatives through evidence-based recommendations.

Use AI responsibly to accelerate insight discovery, reduce manual analysis effort, and make complex engineering and product signals easier to interpret.

Identify opportunities to apply AI to trend analysis, natural-language insight summaries, anomaly detection, knowledge discovery, and proactive recommendations.

Ensure AI-generated insights are validated, explainable, and used as decision support rather than as a substitute for engineering judgment and leadership context.

Product, Engineering and Platform leadership teams use insights regularly to prioritize improvement opportunities and make better-informed operating decisions.

Teams move from static reporting to evidence-based conversations that lead to clear actions, owners, and measurable outcomes.

Recurring execution, quality, delivery flow, and developer experience issues are identified earlier and addressed through focused improvement initiatives.

Community of Practice leaders receive useful organizational signals that help them prioritize practices, reusable assets, and improvement themes.

The Product Intelligence platform or insights app improves over time through a strong feedback loop from real leadership and team-level use cases.

AI-enabled capabilities reduce manual analysis effort and increase the speed, reach, and consistency of insight delivery.

At least 7–10 years of experience in software engineering, product development, engineering operations, product operations, consulting, analytics, or related leadership roles.

Experience working directly with senior leadership teams and influencing decision-making through data-driven insights.

Strong understanding of modern software engineering practices, software delivery lifecycles, and organizational effectiveness.

Deep understanding of software delivery effectiveness frameworks and metrics, including DORA, SPACE, flow metrics, developer experience, and the appropriate use of metrics as signals rather than targets.

Strong analytical and problem-solving skills.

Proven ability to translate complex datasets into clear executive-level insights and actionable recommendations.

Experience driving operational improvements through influence rather than direct authority.

Experience facilitating continuous improvement and organizational change initiatives.

We embrace flexibility and hybrid work opportunities to support diverse needs and lifestyles, while also valuing inclusive workplace experiences. By fostering a sense of community, we drive innovation, strengthen connections, and nurture belonging. Our commitment ensures you can work in a way that suits you best, while also engaging with colleagues to share ideas and build meaningful relationships.