---
title: 'Technical Project Manager at Nexxa.AI'
canonical: 'https://feeny.ai/job/technical-project-manager-nexxa-ai-san-francisco-btwmaz6pf4c1'
type: 'job'
last_seen: '2026-09-22'
---

# Technical Project Manager at Nexxa.AI

- **Company:** Nexxa.AI
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-09-19
- **Last confirmed live:** 2026-09-22
- **Apply:** https://jobs.ashbyhq.com/nexxa/7487440b-efeb-4cbe-b6ee-7d7b17c7d688

## Job description

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.

## About Nexxa.AI

## Company Overview
- **One-liner**: Nexxa.AI builds specialized multi-agent AI systems to automate industrial operations for heavy industries such as railroads, energy, construction, and manufacturing.
- **Entity Type**: Private (Seed-stage, Privately Held)
- **Headquarters**: Sunnyvale, California, United States
- **Founded**: 2024 (some sources list 2023)
- **Founders**: Philipp Wehn (CEO) and David Huang (CTO)

## Core Business
- **Primary industries**: Artificial Intelligence, Industrial Automation, Heavy Industries (Railroad, Energy, Construction, Mining, Manufacturing)
- **Target customers**: B2B, Enterprise – industrial engineering teams in project-heavy industries
- **Mission**: Build an AI system that works alongside industrial engineers to accelerate engineering productivity without pre-training, ultimately achieving industrial autonomy.

## Products & Services
- **Agentic AI Platform**: A multi-agent system that autonomously sets goals, defines success criteria, and executes operations directly into customers’ systems of record. Deployable on cloud or on-premise. Uses a combination of computer-use AI and computer vision.
- **Nitro (Intelligence/Own)**: Captures decision logic, institutional knowledge, and operational judgment from fragmented, legacy software stacks, enabling AI agents to act on unstructured data.
- **Full Self Computing**: A platform that processes unstructured data using generative AI for tasks like document analysis and decision-making.

## Market Standing
- **Valuation**: Not publicly disclosed
- **Total Funding**: USD 14.4 million
  - Pre-Seed (July 2025): $4.4M led by Andreessen Horowitz (a16z Speedrun)
  - Seed (January 2026): $9.0M led by Construct Capital
  - Non-Equity Assistance (November 2025): $1.0M from Amazon Web Services
- **Key Metric**: Annual Recurring Revenue (ARR) grew 4× in production within the automotive vertical
- **Growth Signals**: 400% headcount growth year-over-year (from ~2 to 26 employees); 8 active job postings; expanded presence to Canada
- **Notable Investors**: Andreessen Horowitz (a16z), Construct Capital, Amazon Web Services

## Competitive Advantages
- Deep specialization for heavy industries (railroad, energy, mining, manufacturing) rather than a horizontal AI platform
- AI agents are entirely owned by the customer – no shared models or data leakage
- Agents understand technical domain knowledge without any pre-training required
- Combines computer-use AI with computer vision to interact directly with legacy industrial systems

## Strategic Focus
- Expand across additional heavy industries (railroad, energy, construction, mining, manufacturing)
- Achieve “industrial autonomy” – AI that writes directly into systems of record, moving from recommendations to autonomous execution
- Scale from prototype to production in mission-critical environments, with deployment flexibility (cloud or on-premise)

## Why Work Here
- **High-growth startup**: 400% headcount growth YoY, backed by top-tier investors (a16z, Construct Capital, AWS)
- **Impactful mission**: Transform how industrial engineering teams work – days of repetitive work become minutes
- **Team culture**: Emphasis on “work together and grow together”, resilience, and open collaboration
- **Engineering-centric**: ~50% of team in technical roles (Applied AI Engineer, Senior AI Architect, etc.); active hiring across AI, product, and customer-facing roles
- **Locations**: Sunnyvale, CA (HQ) and Canada; remote/hybrid policy not explicitly stated but presence in two countries suggests flexibility
- **Perks**: Recent non-equity assistance from AWS, strong investor network, early-stage equity opportunity

## Sources
1. [nexxa.ai](https://nexxa.ai)
2. [LinkedIn - Nexxa.ai](https://www.linkedin.com/company/nexxa-ai)
3. [Crunchbase - Nexxa.ai](https://www.crunchbase.com/organization/nexxa-ai)
4. [Bloomberg - Nexxa AI Inc](https://www.bloomberg.com/profile/company/2584046D:US)
5. [PR Newswire - Funding Announcement](https://www.prnewswire.com) (implied from search results)

## Other roles at Nexxa.AI

- [Product Team](https://feeny.ai/job/product-team-nexxa-ai-san-francisco-2e1xx8zetvjw) — San Francisco, CA
- [Security & Infrastructure Engineer](https://feeny.ai/job/security-infrastructure-engineer-nexxa-ai-toronto-6kvymg7sm3c7) — Toronto, Canada
- [Security & Infrastructure Engineer](https://feeny.ai/job/security-infrastructure-engineer-nexxa-ai-san-francisco-5fvtj0rsjcyk) — San Francisco, CA
- [Staff DevOps Engineer](https://feeny.ai/job/staff-devops-engineer-nexxa-ai-toronto-sk6nc60ttm7t) — Toronto, Canada
- [Staff DevOps Engineer](https://feeny.ai/job/staff-devops-engineer-nexxa-ai-san-francisco-61tncfk1x35m) — San Francisco, CA
- [QA Engineer (AI Systems)](https://feeny.ai/job/qa-engineer-ai-systems-nexxa-ai-toronto-33wekf9anshf) — Toronto, Canada
- [QA Engineer (AI Systems)](https://feeny.ai/job/qa-engineer-ai-systems-nexxa-ai-san-francisco-1rwfk7sapb46) — San Francisco, CA
- [Backend AI Engineer](https://feeny.ai/job/backend-ai-engineer-nexxa-ai-toronto-ctswqxgx1cq1) — Toronto, Canada
- [AI Vision Engineer](https://feeny.ai/job/ai-vision-engineer-nexxa-ai-toronto-61gs4v0bx84p) — Toronto, Canada
- [Backend AI Engineer](https://feeny.ai/job/backend-ai-engineer-nexxa-ai-san-francisco-mk2v68wtjfcd) — San Francisco, CA