Telnyx - Associate Technical Project Manager
Requirements
• 1-2 years of experience in project management, program management, operations, or a related field. • Proven ability to independently manage multiple projects and deliver results. • Strong organizational, problem-solving, and communication skills. • Experience working across technical and nontechnical teams. • Ability to manage competing priorities and thrive in a fast-paced environment. • Comfortable working with technical systems, APIs, data, and new technologies. • AI-first mindset with hands-on experience using AI tools to solve problems, automate workflows, analyze information, and improve day-to-day productivity. • Proactive mindset with strong ownership, attention to detail, and ability to drive projects forward. • Experience in telecommunications, cloud communications, SaaS, or API-driven platforms. • Familiarity with Telnyx products, APIs, or communications infrastructure. • Experience with project management tools such as Jira, Asana, Linear, or Monday.com. • Experience with SQL, Looker, Tableau, or similar analytics tools. • Experience building AI-powered workflows or automations using scripts, APIs, or no-code tools. • Familiarity with Agile methodologies and process improvement practices. • Experience coordinating product launches, technical integrations, or operational initiatives.
Responsibilities
• Manage cross-functional projects from planning through execution, ensuring timely and successful delivery. • Coordinate with Product, Engineering, Operations, and other stakeholders to align priorities and track progress. • Develop project plans, manage timelines, track milestones, and identify dependencies. • Proactively identify blockers, resolve challenges, and escalate risks when needed. • Monitor project performance, maintain documentation, and provide clear status updates to stakeholders. • Leverage AI and automation to streamline project management workflows, improve reporting, and increase productivity. • Drive AI adoption by identifying opportunities to automate repetitive tasks, integrate AI into project workflows, and improve how teams work. • Identify opportunities to improve processes and drive operational efficiency. • Support product launches, system implementations, and other strategic initiatives.
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