Hiring: Senior GTM Systems & Process Engineer Company: HackerOne Location: Boston, MA Job Posted Time: 2026-09-09 17:56:26 Employment Type: Full-time Target Skills & Keywords: GTM Systems, Revenue Operations, Salesforce Administration, Salesforce Flows, CPQ, Quoting, Forecasting, Territory Management, Contract Lifecycle Management, CLM, DocuSign, Entitlement Management, Stig, Systems Integration, Data Flows, AI-Enabled Automation, Agentic AI, MEDDIC/MEDDPICC, Revenue Technology Stack, Data Lakehouse, Workday, ERP, Billing, Invoicing, Governance, Process Architecture, B2B SaaS Experience: - 5+ years of experience in Revenue Systems, Sales Systems, GTM Systems, Business Systems, Revenue Operations, or a closely related role within a B2B SaaS or technology organization - Deep hands-on experience administering Salesforce in a complex B2B sales environment - Experience working with CPQ or comparable quoting systems - Experience designing or supporting approval workflows and contract lifecycle processes, including CLM, e-signature, or related systems - Production experience deploying AI-enabled workflows or automations, with the ability to explain a manual or operational process transformed using AI, how the solution was deployed, and the measurable business outcome it produced Required Skills: - Architecting and improving complex Salesforce workflows supporting opportunity management, pipeline management, forecasting, territory management, quoting, and approvals - Hands-on Salesforce expertise: creating and maintaining fields, objects, flows, validation rules, and approval processes; partnering with developers for deeper Apex development or complex CPQ configuration - First Principles Problem Solving to diagnose complex GTM challenges, identify root causes, and redesign processes and systems for scale - Optimizing the end-to-end revenue process: opportunity management, forecasting, quoting/CPQ, contracting, approvals, customer entitlements, downstream financial systems, and invoicing - Designing and improving contract lifecycle and approval workflows, including integrations with CLM and e-signature platforms such as DocuSign - Supporting workflows connecting commercial agreements to customer entitlements and provisioning, including centralized entitlement management platforms such as Stig - Improving data integrations across the revenue technology ecosystem, including Salesforce, data lakehouse environments, Workday, and other financial or operational systems through invoicing - Championing an AI First approach by designing, building, and deploying AI-enabled workflows, automations, and agentic systems - Evaluating the GTM technology ecosystem and emerging AI-native platforms - Establishing governance standards, shared definitions, system-of-record integrity, and operational best practices - Designing system instrumentation and feedback loops to improve forecasting accuracy, pipeline visibility, data quality, and operational performance - Partnering with Sales and Revenue Operations teams operating within structured sales methodologies such as MEDDIC/MEDDPICC - Communicating technical concepts, process trade-offs, system constraints, and solution recommendations to technical and non-technical stakeholders Qualifications: - Strong understanding of downstream sales and revenue processes, including opportunity management, pipeline management, forecasting, quoting, approvals, contracting, and the progression of a deal from opportunity through invoicing - Demonstrated understanding of systems integrations and data flows across CRM, data platforms, financial systems, and other components of a modern revenue technology stack - Demonstrated ability to diagnose ambiguous or complex operational problems, design scalable solutions, and make thoughtful trade-offs between business requirements, process design, and technical architecture - Strong cross-functional communication skills with the ability to translate business requirements into technical solutions and explain system architecture and trade-offs to stakeholders - Preferred: Experience with Salesforce forecasting and territory management - Preferred: Experience with Salesforce CPQ, Revenue Cloud, or comparable configure-price-quote technologies - Preferred: Experience with DocuSign, DocuSign CLM, or comparable contract lifecycle management and e-signature platforms - Preferred: Familiarity with centralized entitlement management platforms, such as Stig - Preferred: Experience integrating Salesforce with data lakehouse architectures, Workday, ERP, billing, or invoicing systems - Preferred: Experience working within a MEDDIC or MEDDPICC sales methodology - Preferred: Experience designing or deploying agentic AI workflows, AI-enabled operational tooling, or intelligent automation across Sales or Revenue Operations - Preferred: Experience working with complex pricing, packaging, or consumption/credit-based commercial models - Preferred: Experience scaling revenue systems within cybersecurity, enterprise SaaS, AI-native, or high-growth technology organizations - Preferred: Experience establishing governance frameworks, operational standards, and scalable systems across multiple GTM functions - Visa/work permit sponsorship is not available - Employment is contingent on a background check Compensation: - Tier A: $175k - $190k - Tier B: $160k - $175k - 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) Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. 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