Principal Product Manager, Engineering Intelligence & Insights [Remote]

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Principal Product Manager, Engineering Intelligence & Insights based in United States .

This is a high-impact leadership role focused on shaping how engineering organizations understand and act on software delivery data at scale. You will define and drive the vision for next-generation engineering intelligence, transforming complex development signals into clear, decision-ready insights for technical leaders, executives, and cross-functional stakeholders. The role sits at the intersection of product strategy, data analytics, and AI-powered user experiences, with responsibility spanning platform capabilities, analytics tooling, and conversational intelligence. You will help build systems that connect engineering data across the software lifecycle, enabling meaningful visibility into performance, productivity, and ROI. This position requires strong product leadership in technically complex environments, with the ability to influence across multiple teams and domains. It offers the opportunity to shape foundational capabilities used by global engineering organizations to improve how software is built and delivered.

Accountabilities:

• Define and lead the multi-horizon product strategy for engineering intelligence and insights, balancing short-term customer needs with long-term platform evolution.
• Drive the development of analytics and insight experiences, including dashboards, AI-powered interfaces, and conversational analytics capabilities.
• Partner closely with engineering and data teams to shape scalable data infrastructure, pipelines, APIs, and knowledge graph integrations.
• Design a tiered insights experience that includes self-service dashboards, standardized reporting, and conversational AI for rapid decision-making.
• Prioritize key metrics and use cases such as DORA metrics, value stream performance, AI adoption impact, and cost/ROI analysis.
• Translate executive and engineering leader needs into product requirements that deliver actionable, decision-ready insights.
• Enable cross-functional teams (sales, customer success, engineering) with analytics tools and dashboards that improve internal and customer-facing workflows.
• Drive alignment across product, engineering, and go-to-market teams to ensure a consistent analytics vision and successful product adoption.

Requirements:

• Proven experience as a Product Manager leading complex, data-intensive or analytics-driven product initiatives at scale.
• Strong background in building BI tools, dashboards, or engineering analytics products for technical audiences.
• Deep understanding of software engineering lifecycle metrics (e.g., DORA, cycle time, value stream management).
• Experience working with data platforms, pipelines, APIs, and collaborating closely with data engineering teams.
• Ability to define product vision and execute across multiple teams in a highly distributed environment.
• Strong stakeholder management skills with experience influencing engineering, design, and executive audiences without formal authority.
• Familiarity with AI-powered analytics, conversational interfaces, or knowledge graph-based systems is highly desirable.
• Strong analytical thinking and ability to translate ambiguous problems into structured product strategies.
• Excellent communication skills, with the ability to operate effectively in fast-paced, global, and asynchronous environments.

Benefits:

• Fully remote work with a global, distributed team environment.
• Equity compensation and employee stock purchase plan eligibility.
• Comprehensive health, dental, and wellness benefits package.
• ️ Flexible paid time off and parental leave policies.
• Growth and development fund for learning and professional advancement.
• Employee resource groups supporting inclusion and community engagement.
• ⚙️ Opportunity to work on cutting-edge AI-powered analytics and engineering intelligence systems.
• High-impact role shaping strategic product direction used by global engineering leaders.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.