HackerOne is a global leader in Continuous Threat Exposure Management (CTEM). The HackerOne Platform unites agentic AI solutions with the ingenuity of the world’s largest community of security researchers to continuously discover, validate, prioritize, and remediate exposures across code, cloud, and AI systems. Through solutions like bug bounty, vulnerability disclosure, agentic pentesting, AI red teaming, and code security, HackerOne delivers measurable, continuous reduction of cyber risk for enterprises. Industry leaders, including Anthropic, Crypto.com, General Motors, Goldman Sachs, Lufthansa, Uber, UK Ministry of Defence, and the U.S. Department of Defense, trust HackerOne to safeguard their digital ecosystems. HackerOne was recognized in Gartner’s Emerging Tech Impact Radar: AI Cybersecurity Ecosystem report for its leadership in AI Security Testing and has been named a Most Loved Workplace for Young Professionals (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, GTM Systems

Remote Location: Boston, MA; Seattle, WA; San Francisco Bay Area; Austin, TX; or Washington, DC

Position Summary

HackerOne is seeking a Staff Applications Engineer, GTM Systems who understands the end-to-end GTM motion, sees how business goals translate into process and system design, and brings hands-on expertise across a modern GTM tech stack, including Salesforce Sales Cloud, Experience Cloud, CPQ, Clay, and Marketo.

Reporting to the Vice President of Enterprise Data & AI, this role offers a unique opportunity to partner directly with our CEO and SVP of GTM Operations. Join our Enterprise Data & AI team to be the technical leader driving the strategy, design, and implementation of AI native GTM systems. You’ll be a strategic collaborator, helping define and drive the roadmap, not just execute it.

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 Boston, MA; Seattle, WA; San Francisco Bay Area; Austin, TX; or Washington, DC. 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

Success in the Staff Applications Engineer, GTM Systems role will be accomplished by delivering on the responsibilities below in alignment with the Talent Principles that define how we work at HackerOne.

Lead the end-to-end design and delivery of scalable, secure, and intelligent GTM systems that support HackerOne’s transformation into an AI-native organization, embedding AI First principles into workflows, architecture, and operational processes.
Own and evolve the architecture across Salesforce Sales Cloud, Experience Cloud, CPQ, Clay, Marketo, and adjacent platforms, redesigning legacy processes and systems to maximize automation, scalability, and business impact through AI First thinking.
Drive GTM systems strategy and roadmap development by partnering closely with executive stakeholders, including the CEO and SVP of GTM Operations, applying Data-Driven Decision Making to prioritize investments, measure outcomes, and continuously improve business performance.
Apply First Principles Problem Solving to deconstruct complex GTM challenges, identify root causes, and design simple, scalable solutions that improve operational efficiency, forecasting accuracy, and revenue execution.
Demonstrate Change Agility by leading platform modernization efforts, helping stakeholders navigate evolving business requirements, and building repeatable frameworks that enable teams to adapt quickly to changing priorities and market conditions.
Partner across business, engineering, and operations teams to identify high-leverage opportunities for automation, integration, and AI-powered capabilities that reduce manual effort and improve decision quality.
Provide technical leadership and mentorship to internal engineers and external development partners, establishing standards, best practices, and scalable operating models that elevate engineering quality across GTM systems.
Champion operational excellence through robust automation, governance, documentation, incident management, and change management processes, ensuring systems are resilient, trusted, and broadly adopted across the organization.

Minimum Qualifications

12+ years of experience in Engineering, Systems Engineering, Business Systems, Computer Science, or a related technical field, with a demonstrated track record of designing, building, and scaling enterprise GTM platforms.
Extensive hands-on expertise with Salesforce Sales Cloud (including Flow and Apex development), Experience Cloud, CPQ, Clay, Marketo, and modern integration and automation platforms such as Workato.
Demonstrated experience building AI-enabled workflows, automations, and business systems, with an AI First mindset focused on improving scalability, efficiency, and business outcomes.
Proven ability to solve highly ambiguous and complex business challenges using First Principles Problem Solving, translating strategic goals into scalable technical solutions.
Strong experience leveraging metrics, analytics, and business insights to influence priorities, evaluate outcomes, and drive Data-Driven Decision Making across cross-functional stakeholders.
Proven success leading large-scale system transformations and navigating organizational change through Change Agility, maintaining momentum and stakeholder alignment in dynamic environments.
Excellent written, verbal, and executive communication skills, including the ability to present complex technical concepts and data-driven recommendations to senior leaders.

Preferred Qualifications

Salesforce Advanced Administrator, Platform App Builder, and/or Business Analyst certification
Background in GTM operations and strategy with direct exposure to quote-to-cash and CPQ workflows
Experience with Mac operating systems
Experience working with Agile and iterative development processes

Compensation Bands:
Tier Guide

Tier A: $220-235k

Tier B: $202-235k

Tier C: $191-233k

#LI-KM1
#LI-Remote

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

*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.