Technical Program Manager

New
J
JobgetherCloud Communications
Remote within the United StatesFull-TimeSenior
Salary not disclosed
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Job Details

Experience
8+ years
Required Skills
JiraRESTful APIsConfluenceDistributed SystemsNetworking

Requirements

  • 8+ years of experience in technical program management, engineering program management, or software/product development.
  • Demonstrated success independently leading technically complex, cross-functional programs involving multiple engineering teams.
  • Strong understanding of software development lifecycles, APIs, distributed systems, cloud infrastructure, databases, networking, and production operations.
  • Ability to learn unfamiliar technologies deeply enough to understand architecture, failure modes, and engineering trade-offs.
  • Experience managing software releases, infrastructure migrations, integrations, and production deployments.
  • Strong organizational and prioritization skills with the ability to establish structure and accountability in ambiguous environments.
  • Excellent written and verbal communication skills for technical and senior leadership audiences.
  • Proficiency with Jira, Confluence, and reporting/dashboards.
  • Bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent practical technical experience.
  • Strong ownership mindset and proven track record of successful program delivery.

Responsibilities

  • Own complex technical programs across VoIP, UCaaS, CCaaS platforms, cloud services, and APIs from planning through production.
  • Translate engineering and product objectives into structured plans with clear milestones, dependencies, and timelines.
  • Coordinate execution across Engineering, Product, QA, DevOps/SRE, Security, and Network Operations teams.
  • Identify technical dependencies, risks, and bottlenecks early to drive resolution or escalation.
  • Maintain rigorous execution tracking to ensure commitments have clear ownership.
  • Communicate status, risks, and trade-offs clearly to executives and engineering leaders.
  • Use engineering and operational metrics to improve delivery predictability and quality.
  • Continuously improve program-management processes and workflows using automation and AI tools.
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