Technical Project Manager

The role

You will support technical project execution across Applied AI and Core Engineering teams. You will own project decomposition, estimation, and timelines while coordinating cross-functional teams.

What you will do

• Manage project timelines, scope, estimation, decomposition and dependencies.
• Work with engineering and client delivery teams to understand timelines and deliverables.
• Anticipate, identify and escalate blockers.
• Align core engineering, DevOps, testing, and client delivery teams.
• Surface risks early and manage cross-team dependencies.
• Communicate status clearly to stakeholders.
• Maintain project tracking and status reporting.
• Ensure teams have clear sprint goals and progress is tracked against timelines.
• Understand agent orchestration, infrastructure automation, workflow orchestration, CI/CD pipelines, and platform architecture to spot risks.

Required qualifications

• 2-4 years of experience in program/project management, ideally in technical environments (software, infrastructure, or consulting).
• Proven track record to manage project timelines and track progress across distributed teams
• Clear written and verbal communication.
• Familiarity with orchestration concepts (multi-step agentic workflows, state management, error handling).
• Basic understanding of infrastructure-as-code principles.
• Familiarity with the problem space of durable, distributed workflow execution.
• Understand deployment pipelines, infrastructure automation, and release management.
• Understand how user experience impacts adoption and team velocity.
• Strong organizational and framework driven prioritization skills.
• Data-driven mindset.
• Attention to detail.
• Comfort with rapid iteration and learning.

Nice to have

• Experience managing AI/ML projects or infrastructure teams.
• Background in startup or scale-up environments (fast-paced, high-ownership culture).
• Hands-on coding experience with AI agents, LLM applications, or Python.
• Basic familiarity with distributed systems concepts or microservices architecture.
• Experience with Confluence, Jira, Azure DevOps, or similar collaboration tools.
• Comfort working in technical environments (terminals, APIs, automation scripting).

Benefits

• Health, dental, vision
• 401(k)
• flexible PTO
• home office stipend

About the company

Nexxa builds specialized AI agents for industrial engineers. They are developing a platform that automates complex workflows in heavy industries like rail, energy, construction, and manufacturing.