Founding Support Engineer

Posted 24 Days Ago
Be an Early Applicant
Phoenix, AZ, USA
In-Office
84K-161K Annually
Mid level
Artificial Intelligence • Cloud • Information Technology • Analytics • Business Intelligence • Cybersecurity • Automation
Artificial Intelligence for the Nuclear Power Industry. Augment your people. Accelerate your processes.
The Role
As a Founding Support Engineer, you will manage end-to-end technical support, monitor platform health, and create a support playbook, enhancing customer experience and engineering efficiency.
Summary Generated by Built In

Why Nuclearn.ai

Nuclearn.ai builds AI-powered software for the nuclear and utility industries—tools that keep critical infrastructure reliable, efficient, and safe. Our software integrates AI-driven workflow, documentation, and research automation, and is already used at 60+ nuclear reactors across North America. You'll ship production code operators and engineers rely on every day.

We're growing quickly, expanding our team and our Phoenix HQ. The work is consequential: what you build helps real plants run safer and smarter.

Eligibility: U.S. citizenship or permanent residency (green card) is required due to DOE export compliance.

What You’ll Do
  • Own technical support end-to-end Be the first line of defense for technical issues escalated from our Customer Success team. Diagnose problems, distinguish real bugs from configuration or user errors, and route confirmed defects to engineering with clear reproduction steps and impact assessment.
  • Monitor platform health proactively Keep eyes on alerts, monitoring dashboards, and customer instance health. Catch issues before customers do. Assess customer impact quickly and communicate status to the right people.
  • Bridge the gap between customers and engineering Translate customer-reported symptoms into actionable technical information. Shield engineering from noise so they can focus on building, while making sure nothing critical gets dropped.
  • Build the support playbook from scratch Define triage workflows, internal SLAs, escalation paths, and a knowledge base. You're founding this function - what you build becomes the standard as the team grows.

You will operate as a senior individual contributor with high autonomy and direct influence across engineering, customer success, and customer environments.

Examples of problems you might own in your first 90 days
  • Stand up a triage and ticketing workflow that replaces ad-hoc Discord/Slack escalations with a structured, trackable process, including severity definitions and response time expectations.
  • Audit the current alert stack and monitoring tools, identify gaps, and establish a daily health check routine across all customer instances so issues are caught before CSEs or customers report them.
  • Investigate and resolve a backlog of open customer-reported issues, documenting root causes and building an internal knowledge base that reduces repeat escalations.
What Makes You a Great Fit
  • 2+ years in a technical support, support engineering, or site reliability role at a software company
  • Comfortable reading logs, navigating Linux environments, and poking around application infrastructure to isolate issues
  • Experience with containerized environments (Docker, Kubernetes) and cloud or on-prem deployments
  • Strong written communication, you can document a bug clearly enough that an engineer can act on it without a follow-up conversation
  • Ability to operate independently in a fast-moving, high-ownership startup environment

You are hands-on. You stay calm under pressure. You take pride in closing the loop. You'd rather dig into a problem yourself than pass it along.

Nice To Have (not Required)
  • Experience in utility IT, energy infrastructure, or other regulated industries
  • Familiarity with monitoring/observability tools (PagerDuty, Datadog, BetterUptime, or similar)
  • Experience supporting on-prem or air-gapped environments
  • Background in customer-facing technical roles at an early-stage startup
Impact You’ll Have (near-term roadmap)
  • Establish Nuclearn's first structured technical support function: triage, tracking, and resolution workflows that scale
  • Dramatically reduce engineering interrupt load so the team can ship faster
  • Improve customer experience by cutting time-to-resolution on technical issues
  • Create the foundation for a support org that grows with the company

Compensation & Benefits
  • Base salary: $84k - $161k
  • Equity: 0.01% - 0.02%
  • Benefits: Unlimited PTO, health/dental/vision insurance, 4% 401k match
Work Model & Schedule
  • Full-time, salaried]
  • Mon–Fri hybrid (Wed remote); expectation is ≥80% in-office (Phoenix HQ)

How We Hire (fast, respectful, practical)
  1. 15-min intro with the founder/hiring manager to trade context and assess mutual fit
  2. Practical work sample (60 min; a real triage scenario from our stack)
  3. 3 hr Team meet + collaboration session (how you communicate across CS and engineering)
  4. We aim to move from first chat to decision quickly.

Top Skills

AI
Cloud Deployments
Docker
Kubernetes
Linux
Monitoring Tools
Observability Tools
Am I A Good Fit?
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The Company
HQ: Phoenix, Arizona
18 Employees
Year Founded: 2020

What We Do

With over 60 reactors around the world relying on our technology, Nuclearn is built on one simple idea: nuclear deserves better tools. Our team—made up of nuclear professionals and engineers—set out to modernize the industry by applying AI to some of its most critical, and often outdated, processes. “We saw this massive gap,” said Bradley Fox, CEO and co-founder. “You’ve got the tech to split atoms, but a lot of the supporting work is still done with decades-old systems. We knew AI could help streamline that complexity—making things safer, faster, and more efficient. It’s a win for the plants, and for the future of clean energy.” Jerrold Vincent, our CFO and co-founder, adds: “Back in 2016, we recognized the potential for AI to support nuclear—not just in cutting costs, but in preparing the next generation of workers. That’s why we started Nuclearn. We believe AI is one of the best tools we have to keep nuclear strong for the long haul.” The software we’ve built isn’t generic. It’s nuclear-specific, pre-trained, and ready to go—designed by people who’ve lived the process and know exactly what this industry needs.

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