Senior Program Manager, Engineering – Sensor Foundation

Jobtailor; Sunnyvale (CA); On-site; USD 140,000 - 210,000; Full time

Job summary

Jobtailor in Sunnyvale, CA seeks an accomplished Program Manager to lead large-scale platform engineering and infrastructure programs across distributed teams. You will drive AI-enabled initiatives, align cross‑functional stakeholders, and coach global engineering cohorts.

The role emphasizes Jira/Agile mastery, strategic planning, and hands-on collaboration with sensor platform and cloud teams to deliver reliable, scalable systems.

Qualifications

• 12+ years managing complex platform engineering and infrastructure programs with 100+ engineers.
• Expert-level Jira proficiency and Agile/Scrum methodology experience.
• Proven track record owning programs/portfolios of products/features, scoping requirements, and planning milestones.
• Strong organizational awareness across dispersed portfolios.
• Ability to summarize complex technical context into actions.
• Detail-oriented with timely decisions in fast-paced environments.
• Experience with AI tools used daily (Claude Code, GitHub Copilot).
• Experience building Claude skills and AI workflows.
• Experience integrating AI into enterprise workflows and infra tools.
• Light development in Python or Go for AI automation scripts.
• Proven experience using AI to enhance decision-making and efficiency.
• Coaching distributed platform and cloud engineering teams across timezones.
• Excellent written and verbal communication across strategic and tactical.
• Relationship-building across boundaries.
• Mentoring other program managers and driving organizational change in platform engineering.
• Experience supporting platform engineering portfolios: infra, cloud, reliability.
• Familiar with build systems, deployment automation, monitoring, scaling.
• Understanding cloud-native, microservices, container orchestration.
• Knowledge of platform engineering languages and tools (Go, Python, Terraform, Kubernetes, GitLab CI/CD).

Responsibilities

• Partner with platform, cloud, and sensor core teams to align priorities.
• Drive technical decision-making and resolve architectural challenges.
• Create delivery schedules for sensor platform initiatives with engineering management.
• Coordinate with global business units to explain goals and involvement.
• Track status of platform engineering activities and ensure schedules are met.
• Escalate critical infrastructure issues and drive resolutions.
• Manage regular project communications and status reporting.
• Develop AI-powered dashboards for project monitoring and insights.
• Build AI agents to identify infrastructure bottlenecks and improve decisions.

Skills

Leadership

Communication

Mentoring

Cross-functional coordination

Tools

Jira

GitHub Copilot

Claude Code

GitLab CI/CD

Terraform

Kubernetes

Python

Go

Job description

Responsibilities

• Partner and facilitate directly with platform engineering, cloud engineering, and sensor core teams at all levels.
• Drive technical decision‑making processes, facilitating discussions between engineering teams to resolve architectural challenges.
• Create and drive project delivery schedules for sensor platform initiatives, working with engineering management on task assignments.
• Collaborate with multiple worldwide business units to identify, explain, and communicate project involvement and goals.
• Proactively track status of platform engineering activities and ensure schedules and priorities are met.
• Ensure critical infrastructure issues are identified, tracked through resolution, and escalated appropriately.
• Manage daily/weekly project communication and status reporting for complex sensor platform initiatives.
• Build AI‑powered dashboards and automated reporting systems for project monitoring and program insights.
• Develop AI agents that proactively identify infrastructure bottlenecks and enhance decision‑making for sensor infrastructure and platform engineering programs.

Requirements

• 12 + years managing complex platform engineering and infrastructure programs with 100+ engineers.
• Expert-level Jira proficiency and Agile/Scrum methodology experience.
• Proven track record owning programs/portfolios of products/features, scoping requirements, and planning milestones.
• Strong organizational awareness with ability to navigate complex organizational structures, manage cross‑functional stakeholders in dispersed portfolios.
• Ability to extrapolate context from complex technical conversations and provide teams with valuable summations around action items and next steps.
• Attention to detail with ability to make logical, timely decisions in fast‑paced environments.
• Excel at proactively driving results while serving as an active resource for technical teams.
• Hands‑on experience with agentic AI tools (Claude Code, GitHub, Copilot) as daily workflow accelerators.
• Ability to build Claude skills, AI workflows, and prompt engineering solutions.
• Experience integrating AI into existing enterprise workflows and infrastructure tools.
• Comfort with light development in Python or Go for AI automation scripts.
• Proven experience utilizing AI technologies to enhance decision‑making, streamline workflows and processes, improve efficiency and drive business outcomes.
• Seasoned team coach managing distributed platform and cloud engineering teams across timezones.
• Excellent written and verbal communication skills with ability to traverse seamlessly between strategic direction and tactical execution.
• Exceptional relationship‑building skills that create impact beyond individual contributions, fostering collaboration across organizational boundaries.
• Proven track record of mentoring and supporting other program managers while driving organizational change in platform engineering contexts.
• Experience supporting platform engineering portfolios that drive infrastructure, build systems, cloud architecture, and system reliability.
• Deep familiarity with build systems, deployment automation, infrastructure monitoring, and platform scaling.
• Understanding of cloud‑native technologies, microservices architecture, container orchestration, and infrastructure automation.
• Knowledge of platform engineering languages and tools (Go, Python, Terraform, Kubernetes, GitLab CI/CD).

Core Competencies

Demonstrates expertise in managing complex platform engineering and infrastructure programs, leveraging AI technologies to enhance decision‑making and streamline workflows. Proficient in Agile/Scrum methodologies and skilled in building collaborative relationships across cross‑functional teams.