Horizon3.ai

Senior Customer Onboarding Engineer

Horizon3.ai • $126K — $140K *
US-AnywhereRemote in United States
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in a technical field or equivalent experience.
  • 5+ years experience in technical support or cloud operations, preferably with large-scale environments.
  • Strong Linux administration skills, including troubleshooting and performance tuning.
  • Hands-on experience with Docker and Kubernetes, particularly in a production environment.
  • Solid understanding of cloud platforms like AWS, Azure, or GCP and IaC tools.
  • In-depth networking knowledge, including TCP/IP and firewalls.
  • Basic scripting ability in Bash, Python, or PowerShell.

Responsibilities

  • Lead customer onboarding process and kickoff meetings.
  • Project-manage the 30-day onboarding timeline and track blockers.
  • Provide deployment best practices and optimize customer environments.
  • Diagnose and resolve implementation failures across cloud and networking.
  • Conduct root-cause analysis on integration issues to prevent recurrence.
  • Configure systems in Linux production environments and manage containers.
  • Collaborate with cross-functional teams to address implementation challenges.

Benefits

  • Inclusive culture that values diversity.
  • Opportunities for career development and advancement.
  • Collaborative work environment that fosters innovation.
  • Flexibility with remote and hybrid work options.
  • Comprehensive health, vision, and dental insurance for employees and their families.
Full Job Description
Role summary

We are hiring a Customer Onboarding Engineer with 5+ years of hands-on enterprise experience. You will be the technical owner of a new customer's first 30 days: taking the account from sales handoff to successful production deployment of the NodeZero platform.

This role requires the same technical depth as a Senior Technical Support Engineer-cloud, Linux, networking, containers, identity, and security-but the primary work is time-boxed implementation for new customer onboarding. You will still diagnose hard problems, do root-cause analysis, and write the knowledge that Support needs. When bandwidth allows, you will assist the larger Horizon3 support team with standard support case management and resolution.

You should be a self-directed engineer who can juggle multiple enterprise engagements with little supervision, working cross functionality with key internal and customer stakeholders to successfully deploy the NodeZero platform and ensure realized customer value.

What you will do
Own the onboarding
  • Lead kickoff with the customer and internal account team. Confirm scope, environments, owners, identity/access path, compliance constraints, and go-live criteria.
  • Project-manage the 30-day plan. Track blockers (credentials, firewall changes, IdP claims, change windows).
  • Provide best practices expertise and assist in deployment and optimization of the customer environment.
  • Ensure successful production deployment against the customers initial testing goals as success criteria for the onboarding.
Technical Implementation
  • Diagnose and resolve implementation failures across cloud infrastructure, networking, and security with the same rigor used on escalated support tickets.
  • Perform root-cause analysis on first-time integration and deployment issues so the same failure does not recur after handoff.
  • Work in Linux production environments: server configuration, performance tuning, security hardening, and troubleshooting.
  • Deploy and manage containerized workloads with Docker and orchestrated environments such as Kubernetes.
  • Provision and troubleshoot pentest configuration AWS, Azure, or GCP.
  • Assist in troubleshooting network issues that commonly block go-live: TCP/IP, firewalls, VPNs, load balancers, etc.
  • Configure and validate identity paths required for onboarding: RBAC, SSO (OAuth, SAML), and directory services (Active Directory, LDAP).
  • Apply NodeZero expertise in scoping and configuring initial tests.
Work across the company
  • Collaborate with CS, Engineering, Product, and Sales to unblock implementation issues that are bigger than a single customer.
  • Advocate for customer specific changes or product improvements as required.
  • Mentor junior onboarding or support engineers on first-time deployment patterns.
  • Stay current on cloud, container, and security practices


Required qualifications
  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent professional experience.
  • 5+ years in technical support, systems administration, cloud operations, implementation, or a similar enterprise role, ideally supporting large-scale or Fortune 500 deployments.
  • Background in cybersecurity, including threat detection, vulnerability management, encryption standards, and compliance frameworks such as SOC 2 or GDPR.
  • Strong Linux administration in production: configuration, performance tuning, hardening, and troubleshooting.
  • Hands-on Docker and containerization experience, including building, deploying, and managing applications in orchestrated environments (Kubernetes or similar).
  • Solid working knowledge of AWS, Azure, or GCP and IaC tools such as Terraform, Ansible, or CloudFormation.
  • In-depth networking fundamentals: TCP/IP, firewalls, VPNs, load balancers, and tools such as Wireshark and tcpdump.
  • Basic scripting in Bash, Python, or PowerShell for automation, diagnostics, and workflow support.
  • Demonstrated self-learning: labs, certifications (for example AWS Solutions Architect, Linux+, or equivalent), personal projects, or open-source work.
  • Experience comparable to a junior cloud administrator in an enterprise setting: multi-tenant environments, resource allocation, and compliance requirements.
  • Familiarity with identity management: RBAC, SSO (OAuth, SAML), and directory services (Active Directory, LDAP).
  • Basic database literacy: relational vs. schemaless stores, schema, querying, and light administration.
  • Ability to run a customer-facing technical engagement to a 30-day finish line with minimal supervision.


Preferred qualifications
  • Proven experience integrating and troubleshooting APIs, including REST services, authentication mechanisms, and API-driven automations in enterprise applications.
  • Familiarity with observability tools such as Datadog for monitoring, logging, and alerting in distributed systems.
  • Basic experience with managed databases such as Amazon RDS: setup, backups, scaling, and query optimization.
  • Broader coding ability in Python, JavaScript, or Go, including custom tools or scripts that automate implementation or support work.
  • Prior onboarding, professional services, or TAM work with a defined time-to-go-live.
  • Experience creating reusable assets: validation scripts, Terraform modules, Datadog dashboard/alert packs, and customer-ready runbooks.
Success measures
  • On-time go-live rate within the 30-day window
  • Customer confirmation that core workflows are implemented and able to be run independently
  • Reduction in hours for the next similar onboarding through scripts, templates, and playbooks


Perks of Horizon3
  • Inclusive Team: We value diversity and promote an inclusive culture where everyone can thrive.
  • Growth Opportunities: Be part of a dynamic and growing team with numerous career development opportunities.
  • Innovative Culture: Work in a collaborative environment that encourages creativity and out-of-the-box thinking.
  • Hybrid & Remote Work: We embrace a mix of remote and hybrid work models depending on role and location, including our Chicago office, where some roles require regular in-office presence.
  • Competitive Compensation: We offer competitive salary, equity and benefits. Our benefits include health, vision & dental insurance for you and your family, a flexible vacation policy, and generous parental leave.


Compensation and Values

At Horizon3, we believe that our people are our greatest asset, and our compensation philosophy reflects this core value. We are committed to fostering an environment where all employees feel valued, respected, and rewarded for their contributions. Our compensation structure is designed to be fair, competitive, and transparent, ensuring that every team member is recognized and compensated equitably across roles, levels, and locations.

In accordance with various State's transparency regulations, we provide the following salary range information for this position:
  • Base salary range: $126,000 - 140,000 annually. The exact salary will be determined based on the selected candidate's location, qualifications, experience, and relevant skills.
  • Additional compensation: All full-time roles are eligible for an equity package in the form of stock options.


Other Duties

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Duties, responsibilities, and activities may change at any time with or without notice.

Application Note

In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

About Horizon3.ai

Horizon3.ai is a California-based software company that provides artificial intelligence (AI) solutions for businesses. The company was founded in 2018 and is headquartered in Long Beach, California. Horizon3.ai offers a range of AI-powered products, including chatbots, virtual assistants, and predictive analytics tools. The company's solutions are designed to help businesses automate their operations, improve customer engagement, and gain insights from their data. Horizon3.ai serves clients in a variety of industries, including healthcare, finance, and retail.
Learn more about Horizon3.ai
Size
50 employees
Industry
Net Income
-$100,000
Founded
2018
5 Year Trend
+50%
Revenue
$500,000

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