Senior Staff Technical Program Manager (Reliability)

TL;DR

Senior Staff Technical Program Manager (Reliability): Lead strategy, execution, and continuous improvement of critical reliability initiatives across multi-cloud infrastructure and product engineering teams. With an accent on large-scale distributed systems, cloud infrastructure, and operational excellence. Focus on driving multi-quarter programs, risk management, and enhancing reliability culture across the organization.

Location: Onsite in Bellevue, Mountain View, or San Francisco, United States

Salary: $191,400–$252,720 USD

Company

hirify.global is a leading data and AI company providing a unified data intelligence platform used by over 10,000 organizations worldwide, including many Fortune 500 companies.

What you will do

• Lead long-term reliability strategy and multi-quarter roadmaps partnering with senior engineering leadership.
• Drive end-to-end execution of critical reliability programs including planning, risk management, and delivery.
• Partner with engineering teams to influence technical direction and improve scalability, fault tolerance, and operational tooling.
• Elevate reliability culture by driving adoption of best practices such as error budgets, incident reviews, and design-for-resilience patterns.
• Define and implement program governance, metrics, and documentation to scale reliability efforts.

Requirements

• Must have 10+ years managing large-scale technical programs in cloud infrastructure, distributed systems, or SRE.
• Experience with multiple hyperscale cloud providers (AWS, Azure, GCP) and multi-region architectures.
• Proven success leading reliability programs focused on availability, failover, and operational excellence.
• Strong understanding of infrastructure, distributed systems, and SRE practices; engineering or SRE background preferred.
• Ability to manage complex cross-organizational dependencies and multi-quarter timelines.
• Experience working onsite in the United States locations specified.

Nice to have

• Background in distributed systems engineering, platform infrastructure, or cloud services.
• Experience with large-scale compute fleets, container orchestration, and autoscaling.
• Familiarity with reliability methodologies like SLOs, chaos engineering, and incident management frameworks.
• Expertise with Jira or equivalent program tracking tools.
• Advanced degree in Computer Science, Engineering, or related field.

Culture & Benefits

• Comprehensive benefits and perks tailored to employee needs.
• Commitment to diversity and inclusion in hiring and workplace culture.
• Opportunities to work with cutting-edge data and AI infrastructure technologies.