Senior GTM Operations Engineer

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. Senior GTM Operations Engineer Remote Location: Boston, MA; Seattle, WA; San Francisco Bay Area; Austin, TX; or Washington, DC Position Summary At HackerOne, our Go-to-Market (GTM) Operations function is modernizing and re-architecting the revenue engine, leading the build of an AI-native GTM operations model that connects planning, execution, analytics, and performance into a cohesive, scalable system. We are looking for a Senior GTM Operations Engineer to partner with GTM stakeholders to diagnose complex operational challenges, reimagine how they should work, and build the AI-native capabilities that make that vision real. Reporting to the Head of GTM Operations, you will partner with Marketing, Sales, and other functions across the organization to deconstruct and reimagine processes from first principles. You will design and implement agentic workflows, lightweight integrations, and intelligent automations that make our revenue teams faster, smarter, and more consistent. You will bring the analytical rigor to measure what's working and the executive presence to influence what changes. 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 Senior GTM Operations Engineer role will be accomplished by delivering on the responsibilities below in alignment with the Talent Principles that define how we work at HackerOne: Apply First Principles Problem Solving to diagnose complex GTM challenges, identify root causes, challenge legacy assumptions, and redesign workflows across forecasting, pipeline management, quote-to-cash, planning, sales enablement, and partner operations. Champion an AI First approach by designing, building, and deploying AI-native workflows, agentic automations, and intelligent systems that improve the speed, consistency, and quality of GTM execution. Partner with stakeholders across Revenue Operations, Sales, Marketing, Customer Success, Channel Partners, and Finance to architect scalable solutions that connect strategy, systems, processes, and execution. Evaluate and evolve the GTM technology ecosystem, including Salesforce, Gong, Clay, ZoomInfo, Looker, and emerging AI-native platforms, identifying opportunities to simplify workflows, improve scalability, and accelerate business outcomes. Leverage Data-Driven Decision Making to design system instrumentation, architect data flows, establish measurement frameworks, and build feedback loops that improve forecasting accuracy, pipeline visibility, planning effectiveness, and operational performance. Build and maintain integrations, automation frameworks, and operational tooling that reduce manual effort, improve signal quality, and increase reliability across critical GTM workflows. Demonstrate Change Agility by proactively identifying opportunities to improve processes, piloting new approaches, adapting quickly to evolving business needs, and helping stakeholders successfully adopt new ways of working. Establish and enforce shared definitions, governance standards, system-of-record integrity, and operational best practices that improve execution consistency, cross-functional alignment, and long-term scalability. Minimum Qualifications   5+ years of experience in GTM Engineering, Revenue Operations, Business Systems, or a closely related role within B2B SaaS, cybersecurity, or AI-driven organizations. Demonstrated experience designing, building, and deploying AI-enabled workflows, automations, integrations, or agentic systems that deliver measurable business outcomes. Deep expertise with Salesforce CRM and strong understanding of GTM operating processes, including forecasting, pipeline management, quote-to-cash, territory planning, and sales enablement. Strong analytical capabilities with experience using data to validate assumptions, measure impact, identify opportunities, and influence business decisions. Preferred Qualifications Experience scaling GTM operations within cybersecurity, enterprise SaaS, or high-growth technology environments. Experience building predictive analytics, forecasting intelligence, or machine learning-enabled operational workflows. Experience working in AI-native, product-led growth, or highly automated GTM organizations. Experience implementing governance frameworks, operational standards, and scalable systems that improve consistency across multiple GTM functions. Compensation Bands: Tier Guide Tier A: $153-187k Tier B: $137-168k #LI-Remote #LI-KM1 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.

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