Role: Technical Project Manager
Department: Applied AI
Location: SF Bay Area, onsite
Level: Mid level
About the Role
We're looking for a Technical Project Manager to support technical project execution excellence across our Applied AI and Core Engineering teams. You'll own project decomposition, estimation, and timelines. You'll coordinate cross-functional teams, surface and remove blockers, and ensure smooth execution from development through deployment.
This is intense hands-on work that is foundational and core to business. You'll support competing demands between product and engineering, and execute against shared priorities. You're comfortable operating in ambiguity and shipping iteratively with accelerated schedules.
Responsibilities
• Delivery Support: Manage project timelines, scope, estimation, decomposition and dependencies across project development initiatives. Work with engineering and client delivery teams to understand timelines and deliverables. Anticipate, identify and escalate blockers to keep projects on track.
• Coordination & Communication: Align core engineering, DevOps, testing, and client delivery teams. Surface risks early, manage cross-team dependencies, and communicate status clearly to stakeholders.
• Program Tracking & Visibility: Maintain project tracking and status reporting. Ensure teams have clear sprint goals, dependencies are visible, and progress is tracked against timelines.
• Technical Triage: Understand enough about agent orchestration, infrastructure automation, workflow orchestration, CI/CD pipelines, and platform architecture to ask good questions and spot risks. Deep expertise is not required; strong pattern recognition is.
What We're Looking For
Core Program Management Skills
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. You're concise and precise in your writing and feedback.
Thrives in ambiguity. You ask good questions and escalate appropriately.
Technical Acumen (hands-on experience preferred)
AI development, Agent Orchestration & Workflows: Familiarity with orchestration concepts (multi-step agentic workflows, state management, error handling). You can follow discussions about agents, tools, and execution paths.
Infrastructure Automation: Basic understanding of infrastructure-as-code principles. You understand the difference between imperative and declarative approaches. You can reason about reproducibility, versioning, and scalability.
Workflow Orchestration: Familiarity with the problem space of durable, distributed workflow execution. You understand how orchestration layers fit into broader architecture.
CI/CD & DevOps: Understand deployment pipelines, infrastructure automation, and release management. You can reason about testing strategies and deployment workflows.
Product & UX/UI: You understand how user experience impacts adoption and team velocity. You can spot friction in product flows and collaborate with design teams.
Operational Excellence
Strong organizational and framework driven prioritization skills. You manage competing demands and communicate clearly.
Data-driven mindset. You track and reference metrics to inform decisions.
Attention to detail. You document work clearly and catch gaps in communication or scope.
Comfort with rapid iteration and learning. You move fast and own mistakes.
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).
About Nexxa
Nexxa builds specialized AI agents for industrial engineers. We're developing a platform that automates complex workflows in heavy industries—rail, energy, construction, manufacturing. Our mission is to enable domain-specific AI capabilities without months of custom engineering.
We're post-seed, well-funded, and focused on delivery excellence. Our team includes exceptional engineers and domain experts. We move fast, iterate openly, and measure impact rigorously.
Our culture: Direct. Technical. Outcome-focused. We ship with bias toward action, give candid feedback, and celebrate excellence.
Compensation & Benefits
• Salary Range: Competitive, based on experience • Equity: Stock options reflecting your contribution and growth potential • Benefits: Health, dental, vision; 401(k); flexible PTO; home office stipend. We operate distributed across time zones.
How to Apply
Submit your resume, a brief cover note, and a link to any relevant work (portfolio, writing, GitHub, etc.). We read every application and respond to strong candidates within one week.
We're committed to building a diverse team and welcome applications from underrepresented groups in tech.
Skills Required
- 2-4 years of experience in program or project management, ideally in technical environments such as software, infrastructure, or consulting
- Track record managing project timelines and progress across distributed teams
- Clear, concise written and verbal communication skills
- Ability to operate effectively in ambiguity and escalate appropriately
- Familiarity with AI development, agent orchestration, and workflows
- Basic understanding of infrastructure-as-code principles, reproducibility, versioning, and scalability
- Familiarity with durable, distributed workflow execution and orchestration layers
- Understanding of CI/CD, DevOps, deployment pipelines, infrastructure automation, release management, testing, and deployment workflows
- Understanding of product and UX/UI principles and their impact on adoption and team velocity
- Strong organizational, prioritization, data-driven decision-making, documentation, and attention-to-detail skills
- Experience managing AI/ML projects or infrastructure teams
- Startup or scale-up experience
- Hands-on coding experience with AI agents, LLM applications, or Python
- Familiarity with distributed systems or microservices architecture
- Experience with Confluence, Jira, Azure DevOps, or similar collaboration tools
- Comfort working with terminals, APIs, and automation scripting
What We Do
Nexxa builds specialized AI for industrial engineering in heavy project industries. Project industries like railroads, energy, construction, mining and others rely on highly educated industrial engineers to function. Today, industrial engineers have to do their work in a fragmented, sometimes outdated technology stack. Nexxa delivers AI agents that understand the technical work and augment the engineer in their most critical, but repetitive work. Our vision is to build an AI system that works with the engineer from scratch and accelerates engineering productivity without any pre-training.
