Senior GTM Systems & Process Engineer

Senior GTM Operations Engineer

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.

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.