Translate product intent into executable tasks and establish automated validation to ensure that requirements are clear, testable, and ready before development begins.
Implement traceability across requirements, user stories, tests, and deployments.
Build automated validation, ensuring requirements are clear, testable, and ready before development begins
Create cross-program detection for dependencies, blockers, and delivery risks, providing real-time visibility through automation.
Drive resolutions by actively engaging engineers, developing tools, and reducing the need for repeated interventions.
Build and maintain flow metrics infrastructure (including cycle time, lead time, work in progress, throughput, and predictability) to inform decisions regarding scope, timelines, and trade-offs.
Deploy forecasting and risk models to facilitate proactive delivery decisions.
Eliminate routine coordination through automation, allowing more time for judgment and action.
Write production-quality code (in Python, JavaScript, or equivalent languages) to address delivery challenges, review AI-generated code, and debug complex systems.
Design and orchestrate multi-agent AI workflows throughout the delivery lifecycle.
Integrate DevOps and MLOps practices, embedding governance into CI/CD processes and ensuring release readiness.
Lead transformation by actively participating in the process, assisting teams in adopting new tools, expectations, and ways of working.

Requirements

4+ years of experience in a technical role such as Software Engineer, Tech Lead, Platform Engineer, DevOps Engineer, ML Engineer, or Architect, with production delivery experience
Strong coding proficiency in Python, JavaScript, or similar, including the ability to write production-quality code, review AI-generated code, and debug
Proven experience designing, building, and operating CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, Azure DevOps, or similar)
Practical cloud experience in AWS, Azure, or GCP, including containers and infrastructure-as-code or equivalent deployment automation
Delivery leadership experience across multiple global teams and dependencies, with a track record of owning delivery results (not just coordinating)
Strong understanding of Agile and flow-based delivery (Scrum, Kanban, or hybrid) and proven use of flow metrics to drive decisions
Hands-on experience using AI coding assistants (Claude, Copilot, Cursor, ChatGPT, or similar) in software engineering workflows
Excellent communication and relationship-building skills, forming recommendations using data and AI insight, and with the ability to influence across levels and functions
Physically located on the U.S. East Coast and willing to work effectively across multiple time zones (North America, Europe, and Asia).

Benefits

Health, dental, and vision insurance
Life insurance and disability coverage
Open PTO and parental leave
401(k) plan with company matching
Employee assistance program
Voluntary supplemental benefits (Accident, Hospital Indemnity, Critical Illness)

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonJavaScriptCI/CD pipelinescloud computinginfrastructure-as-codeautomated validationAI workflowsdebuggingflow metricsdelivery forecasting

Soft Skills

communicationrelationship-buildinginfluencingleadershipproblem-solvingcollaborationdecision-makingadaptabilityengagementtransformation