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À propos
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 Sales Operations Manager Remote Location: Boston, MA; Seattle, WA; San Francisco Bay Area; Austin, TX; or Washington, DC
Position Summary
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. At HackerOne, the Senior Sales Operations Manager plays a critical role in deepening our revenue organization's analytical capabilities and operational rigor. You sit at the core of our revenue organization, partnering closely with Sales, Customer Success, Marketing, Partnerships, and company leadership to improve pipeline visibility and operational execution through scalable reporting, AI, and automation. You will build and own pipeline intelligence, forecast rigor, revenue analytics, and the AI automation layer that makes our GTM motion faster and smarter. The ideal candidate has already been experimenting with and building AI-powered workflows on their own, and is excited to apply agents to modernize GTM execution. HackerOne is a platform business at its core, and the ideal candidate brings experience in that model to inform GTM strategy and revenue analytics. 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
Own pipeline and forecast intelligence. Build and maintain inspection frameworks to provide visibility, surface risk early, track progression, and inform
data-driven decision making .
Build
AI-native workflows
to increase velocity and reduce friction. Use Claude and other LLM-based tools in combination with GTM data (e.g., Salesforce, Gong) to automate reporting logic, generate insights, and reduce manual work across the GTM organization. Support data hygiene and improvement in systems of record, so we build on top of reliable information.
Drive GTM cadences that turn data into action. Translate pipeline, conversion, and activity data into executive-ready recommendations. Facilitate operating rhythm with structured analysis that drives decisions, not just updates.
Apply
First Principles Problem Solving
to support operational transformation. Partner cross-functionally with Revenue, Customer Success, Marketing, Partnerships, Legal, and Finance to identify issues and build scalable fixes.
Contribute to GTM planning with reliable performance diagnostics, pipeline analysis, productivity and capacity modeling, and quota modeling.
Minimum Qualifications
5-8+ years in Sales Operations, Revenue Operations, GTM Strategy, or a related analytics-heavy operational role in a B2B SaaS or platform business.
Demonstrated experience building with AI tools through projects, personal workflows, or process hacks that show you didn't wait to be taught
Hands-on experience with Salesforce including reporting structures, object relationships, pipeline management, and forecasting workflows.
Proficiency in building GTM models (forecast, productivity, pipeline, capacity, etc.) and automating for repeatability.
Proven ability to operate and build in fast-changing environments with imperfect data, adapting structure and approach as the business evolves.
Preferred Qualifications
Experience deploying AI-powered workflows in an enterprise GTM environment, including integrating LLM-based tools with CRM or sales data systems.
Experience leading pipeline and forecast reviews with revenue and executive leadership, not just supporting them with analysis.
Experience leading cross-functional initiatives without direct authority.
Compensation Bands: Tier Guide Tier A: $153-175k 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. Compensation Range: $137K - $175K
Compétences linguistiques
- English
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