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Staff Applications Engineer, Enterprise Systems
Staff Applications Engineer, Enterprise Systemshackerone • Washington, DC, United States
Staff Applications Engineer, Enterprise Systems

Staff Applications Engineer, Enterprise Systems

hackerone • Washington, DC, United States
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  • serp_jobs.job_card.full_time
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HackerOne is a global leader in offensive security solutions. Our HackerOne Platform combines AI with the ingenuity of the largest community of security researchers to find and fix security, privacy, and AI vulnerabilities across the software development lifecycle. The platform offers bug bounty, vulnerability disclosure, pentesting, AI red teaming, and code security. We are trusted by industry leaders like Amazon, Anthropic, Crypto.com, General Motors, GitHub, Goldman Sachs, Uber, and the U.S. Department of Defense. HackerOne was named a Best Workplace for Innovators by Fast Company in 2023 and a Most Loved Workplace for Young Professionals in 2024.

HackerOne is at a pivotal inflection point in the security industry. Offensive security is no longer optional - it is the standard for forward-thinking companies that want to build trust and resilience in a world where AI-driven innovation and adversaries are moving faster than ever. With the industry shifting, HackerOne stands apart : we combine the ingenuity of the largest security research community with a best-in-class AI-powered platform, trusted by the world's top organizations.

HackerOne Values

HackerOne is dedicated to fostering a strong and inclusive culture. HackerOne is Customer Obsessed and prioritizes customer outcomes in our decisions and actions. We Default to Disclosure by operating with transparency and integrity, ensuring trust and accountability. Employees, researchers, customers, and partners Win Together by fostering empowerment, inclusion, respect, and accountability.

Staff Applications Engineer, Enterprise Systems

Remote Location : Seattle, WA or Washington D.C.

Position Summary

HackerOne is seeking a Staff Applications Engineer, Enterprise Systems to join our Enterprise Data & AI team to 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.

You'll achieve success by leading with AI-first thinking, demonstrating agility through change, applying first-principles problem solving, and using data to learn and adapt along the way. Leveraging your technological expertise, domain knowledge, and dedication to business objectives, you'll drive innovation to propel HackerOne forward.

Enterprise Data & AI's Mission & Vision

The HackerOne Enterprise Data & AI team democratizes source of truth information, transformative insights, and AI tooling and infrastructure to power enhanced decision-making, autonomous execution, and mission-aligned scale. The future is one where every Hackeronie is a catalyst for positive change, advancing data-driven, AI-powered, human-led innovation while fostering our culture of transparency, collaboration, and customer obsession.

At HackerOne, we embrace a Flexible Work approach that gives us the freedom to do our best work while also fostering the connections and community that make us stronger. Reflecting this philosophy, this is a remote role targeted for candidates within ~50 miles of Seattle, WA or Washington D.C. . We believe this balance of proximity and flexibility gives Hackeronies the chance to occasionally come together - fostering collaboration, connection, and in-person moments that enrich our culture - while still preserving the benefits of remote work.

What You Will 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

Minimum Qualifications

8+ years of experience in an Engineering, Science, Systems, or similar role w / 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

Preferred Qualifications

Experience with Mac and Windows operating systems

Experience working with Agile and iterative development processes

Understanding of network architecture

Compensation Bands : Tier Guide

Tier B : $190,400 - $211,500

# LI-KL1

Job Benefits :

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

  • Eligibility may differ by country

We're committed to building a global team! For certain roles outside the United States, India, the U.K., and the Netherlands, we partner with Remote.com as our Employer of Record (EOR).

Visa / work permit sponsorship is not available.

Employment at HackerOne is contingent on a background check.

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.

This policy applies to all HackerOne employment practices, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. HackerOne makes hiring decisions based solely on qualifications, merit, and business needs at the time.

For US based roles only : Pursuant to the San Francisco Fair Chance Ordinance, all qualified applicants with arrest and conviction records will be considered for the position.

Compensation Range : $190.4K - $211.5K

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Application Engineer • Washington, DC, United States

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