Senior BPM, Developer Experience Programs

Details

• Translate developer experience signals into program priorities.Synthesize tooling data, measurement outputs, pilot results, and developer feedback into actionable insights.Bring those insights into portfolio planning, measurement reviews, and roadmap conversations with partner teams.Turn insights into clear recommendations on where to invest, expand, rationalize, or retire tools and related programs.
• Synthesize tooling data, measurement outputs, pilot results, and developer feedback into actionable insights.
• Bring those insights into portfolio planning, measurement reviews, and roadmap conversations with partner teams.
• Turn insights into clear recommendations on where to invest, expand, rationalize, or retire tools and related programs.
• Lead the developer experience measurement program.Own the day-to-day program leadership for 1Password’s developer experience measurement platform: coverage, data quality, reporting cadences, and how signals are used operationally.Partner with Platform Engineering on metrics platform priorities, instrumentation, and data integrity, while owning program structure, stakeholder alignment, and operating cadence.Build the operating mechanisms that make developer experience and tooling data useful for decision-making.⁠Support investment and portfolio decisions with adoption reporting, usage analysis, and impact-oriented recommendations.Evolve the measurement model as software delivery changes, especially where traditional signals become less representative of AI-native work.
• Own the day-to-day program leadership for 1Password’s developer experience measurement platform: coverage, data quality, reporting cadences, and how signals are used operationally.
• Partner with Platform Engineering on metrics platform priorities, instrumentation, and data integrity, while owning program structure, stakeholder alignment, and operating cadence.
• Build the operating mechanisms that make developer experience and tooling data useful for decision-making.⁠
• Support investment and portfolio decisions with adoption reporting, usage analysis, and impact-oriented recommendations.
• Evolve the measurement model as software delivery changes, especially where traditional signals become less representative of AI-native work.
• Run developer tooling evaluation, pilots, and portfolio governance.Own intake, prioritization, and evaluation workflows for developer tools across the SDLC, with a near-term focus on AI tooling.Maintain the evaluation frameworks, decision criteria, and review mechanisms used to assess new tools and changes across the portfolio.Design and run structured pilots with clear hypotheses, baselines, success criteria, and decision points.Coordinate security review, integration approval, and related governance, including emerging integration patterns such as MCPs.Partner with IT, Finance, and Procurement on provisioning, licensing, renewals, and cost visibility across the portfolio.
• Own intake, prioritization, and evaluation workflows for developer tools across the SDLC, with a near-term focus on AI tooling.
• Maintain the evaluation frameworks, decision criteria, and review mechanisms used to assess new tools and changes across the portfolio.
• Design and run structured pilots with clear hypotheses, baselines, success criteria, and decision points.
• Coordinate security review, integration approval, and related governance, including emerging integration patterns such as MCPs.
• Partner with IT, Finance, and Procurement on provisioning, licensing, renewals, and cost visibility across the portfolio.
• Synthesize tooling data, measurement outputs, pilot results, and developer feedback into actionable insights.
• Bring those insights into portfolio planning, measurement reviews, and roadmap conversations with partner teams.
• Turn insights into clear recommendations on where to invest, expand, rationalize, or retire tools and related programs.
• Own the day-to-day program leadership for 1Password’s developer experience measurement platform: coverage, data quality, reporting cadences, and how signals are used operationally.
• Partner with Platform Engineering on metrics platform priorities, instrumentation, and data integrity, while owning program structure, stakeholder alignment, and operating cadence.
• Build the operating mechanisms that make developer experience and tooling data useful for decision-making.⁠
• Support investment and portfolio decisions with adoption reporting, usage analysis, and impact-oriented recommendations.
• Evolve the measurement model as software delivery changes, especially where traditional signals become less representative of AI-native work.
• Own intake, prioritization, and evaluation workflows for developer tools across the SDLC, with a near-term focus on AI tooling.
• Maintain the evaluation frameworks, decision criteria, and review mechanisms used to assess new tools and changes across the portfolio.
• Design and run structured pilots with clear hypotheses, baselines, success criteria, and decision points.
• Coordinate security review, integration approval, and related governance, including emerging integration patterns such as MCPs.
• Partner with IT, Finance, and Procurement on provisioning, licensing, renewals, and cost visibility across the portfolio.
• Engineering ships faster and with higher confidence because tooling decisions are streamlined and grounded in clear evaluation frameworks, pilots, and cross-functional input from Platform Engineering, Security, IT, Finance, and Procurement.
• The tooling portfolio is actively managed, with clear visibility into what to adopt, expand, rationalize, or retire.
• The developer experience measurement program is trusted and regularly used to guide investment and prioritization, with operating mechanisms that leaders and partner teams rely on.
• Investment recommendations are backed by a clear mix of adoption data, usage trends, developer feedback, pilot results, and measurement insights.
• The measurement model keeps pace with how software delivery is changing, especially around AI-native work.
• 5+ years of experience leading complex cross-functional programs in a technical organization, especially where decisions are shared across multiple stakeholders.
• Background in developer experience, developer productivity, engineering effectiveness, internal platform programs, technical program management, or a related function.
• Familiarity with AI-accelerated development workflows, and an understanding of the tools, adoption patterns, and measurement challenges that come with them.
• Working familiarity with developer productivity and developer experience measurement frameworks (DORA, SPACE, DX Core 4, or similar), and a point of view on where they help and where they fall short.
• Ability to design evaluation frameworks, structure pilots, and turn mixed quantitative and qualitative inputs into clear recommendations.
• Strong judgment in ambiguous environments. You bring structure to messy inputs, clarify tradeoffs, and help teams move to decisions.
• Comfort partnering with engineering teams and technical leaders without needing to be an engineer yourself.
• Experience coordinating across partner functions such as Security, IT, Finance, or Procurement.
• Strong written and verbal communication, including executive-ready recommendations, pilot readouts, and concise decision-oriented summaries.
• Direct experience with AI developer tools such as coding assistants, code review tools, or agent frameworks.
• Hands-on experience with developer productivity measurement platforms or dashboards (e.g., DX, Jellyfish, LinearB, or in-house equivalents).
• Background in software engineering, engineering management, or technical program management.