Define the multi-system architecture that connects Salesforce, RevTech tools, data sources, and AI components into an integrated GTM ecosystem.
Lead system design initiatives, including new platform evaluations, integration patterns, and workflow modernization.
Develop data-flow diagrams, systems documentation, and technical roadmaps for leadership evaluation and budget planning.
Assess organizational scaling needs, including acquisitions, product expansion, and new GTM motions, and translate them into technical requirements.
Present architecture roadmaps to leadership for budget, resource, and strategic alignment.
Build or prototype automated scripts (e.g., Python, JavaScript) for data transformation, API orchestration, operational workflows, and system optimization.
Collaborate with developers and enterprise architecture teams to influence low-code vs. code-based design decisions.
Define integration patterns and system-to-system communication requirements using APIs, event-based triggers, JSON, and SOQL/SQL queries.
Troubleshoot complex configuration or integration issues by analyzing logs, API responses, and platform metadata.
Design, deploy, and govern AI-assisted workflows, including LLM-based research agents, enrichment automations, content generation pipelines, and decision-support utilities.
Build controlled, auditable AI automations using tools such as Copilot, Einstein, or custom orchestrations.
Implement AI guardrails to ensure data accuracy, user accountability, and compliance with organizational policies.
Partner with leadership to define the AI adoption strategy across the GTM organization.
Build and maintain workflow automations, flows, and integrations between connected tools.
Identify inefficiencies and recommend enhancements to improve usability and efficiency.
Stay current with GTM systems and connected tool releases; evaluate and implement beneficial new features.
Own the RevOps data governance framework, including data quality, stewardship, retention, and distribution standards.
Define security policies, including least-privilege access across GTM systems.
Conduct risk assessments for new vendors, integrations, and AI automations to ensure regulatory and audit compliance.
Conduct build vs. buy analysis for new GTM technology, using ROI modeling, operational impact scoring, and architectural compatibility assessments.
Evaluate emerging RevTech, AI tools, and data providers and make strategic recommendations to leadership.
Lead technical discovery for new business requirements and translate them into longterm scalable system solutions.
Define and maintain the business continuity plan for key GTM systems, including backup standards and disaster recovery procedures.
Monitor system performance and design optimizations that improve speed, reliability, and user experience at scale.
Oversee capacity planning and forecasting for GTM systems based on growth, usage patterns, and changing sales motions.
Requirements
Working knowledge of Salesforce administration (certification required).
Expertise in system architecture, data modeling, and integration strategy across RevOps platforms.
Proficient in Python, JavaScript, SQL/SOQL, and API frameworks.
Strong understanding of enterprise security, data governance, and compliance requirements.
Experience designing and deploying AI-driven automation within GTM or RevOps environments.
Ability to read platform-level logic (e.g., Apex metadata, Flow XML, API schemas) and collaborate with technical teams.
Exceptional analytical abilities with a strategic mindset and comfort navigating ambiguity.
Strong communicator capable of translating complex technical concepts to business stakeholders.
Exceptionally organized, good time manager.
Ability to manage multiple concurrent projects and drive projects to completion with minimal guidance.
Ability to work independently more than 75% of the time.