HackerOne is looking for a Staff Applications Engineer, Enterprise Systems to join our Enterprise Data & AI team. You will be a technical leader driving the strategy, design, and implementation of AI-First Enterprise Systems that power how Hackeronies collaborate, communicate, and scale. You’ll own complex, cross-functional initiatives that blend enterprise architecture, automation, and AI to streamline operations, reduce toil, and unlock human potential.
What You'll Do
- Lead the end-to-end design and delivery of scalable, secure, and intelligent enterprise systems that support HackerOne’s transformation into an AI-first organization.
- Partner across business and engineering teams to identify high-leverage opportunities for automation, integration, and system modernization.
- Drive the architecture and execution of platform-level capabilities, leveraging AI and modern tooling to reduce manual effort, improve decision-making, and increase system resilience.
- Provide technical leadership to internal engineers and external development partners, ensuring design quality, operational excellence, and long-term maintainability.
- Shape and contribute to our incident and on-call response strategy, playbooks, and processes, focusing on building systems that fail gracefully and recover quickly.
- Act as a multiplier to mentor other engineers, advocate for technical excellence, and promote a culture of innovation, curiosity, and continuous improvement.
- Champion effective change management and enablement, ensuring systems are not only launched, but adopted, understood, and evolved.
What We're Looking For
- 8+ years of experience in an Engineering, Science, Systems, or similar role with a proven track record of leading the design, development, and deployment of AI-First Enterprise Systems.
- Demonstrated success shaping strategic vision and roadmaps for AI-First Enterprise Systems.
- Extensive hands-on experience designing, building, configuring, integrating, and maintaining AI-First Enterprise Systems, including Google Workspace, Slack, Atlassian, Zoom, Ironclad, Box, Monday, Jira, Freshservice, Freshdesk, Workato, GCP, AWS, and more.
- Experience working with SSO protocols (e.g., SAML, OIDC, SCIM), enterprise identity tools (e.g., Okta), and MDM platforms (e.g., Kandji) in a fast-paced environment.
- Experience developing integrations and automations using tools like Workato.
- Experience with Salesforce Sales Cloud, Service Cloud, Salesloft, and data enrichment platforms (e.g., Clearbit, ZoomInfo, etc.).
- Passion for working backwards from the Customer and empathy for business stakeholders.
- Proven track record of having substantial impact across the company, demonstrating your ability to drive positive change, and achieve significant results.
- Thrive on solving ambiguous problem statements in an early-stage environment.
- Excellent communication skills, and can present data-driven narratives in verbal, presentation, and written formats.
Nice to Have
- Experience with Mac and Windows operating systems.
- Experience working with Agile and iterative development processes.
- Understanding of network architecture.
Technical Stack
- Google Workspace, Slack, Atlassian, Zoom, Ironclad, Box, Monday, Jira, Freshservice, Freshdesk, Workato, GCP, AWS
- SSO protocols (SAML, OIDC, SCIM), Okta, Kandji
- Salesforce Sales Cloud, Salesforce Service Cloud, Salesloft, Clearbit, ZoomInfo
Team & Environment
You will be a member of the Enterprise Data & AI team.
Benefits & Compensation
- Compensation range: $190,400 - $211,500.
- Health (medical, vision, dental), life, and disability insurance.
- Equity stock options.
- Retirement plans.
- Paid public holidays and unlimited PTO.
- Paid maternity and parental leave.
- Leaves of absence (including caregiver leave and leave under CO's Healthy Families and Workplaces Act).
- Employee Assistance Program.
- Flexible Work Stipend.
Work Mode
This is a hybrid role based in Seattle, WA, and the surrounding metropolitan areas.
HackerOne is an Equal Opportunity Employer in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, pregnancy, disability or veteran status, or any other protected characteristic as outlined by international, federal, state, or local laws.
