Cobalt - Senior GTM Systems & Automation Engineer

• What You'll Own • GTM Systems & Architecture • Own the design, administration, scalability, and reliability of the GTM technology stack, including Salesforce, HubSpot, customer success platforms, enrichment providers, sequencing tools, AI solutions, and workflow automation platforms. • Serve as the primary technical owner for integrations, APIs, webhooks, system health, data governance, security permissions, release management, documentation, and operational continuity. • Design and optimize scalable revenue processes across the customer lifecycle, including lead management, pipeline progression, customer onboarding, renewals, expansion, lead routing, lifecycle management, attribution, and customer data architecture. • Evaluate, implement, and optimize GTM technologies that create measurable business impact while reducing operational complexity. • Create and maintain documentation for systems, workflows, integrations, business rules, and operational processes to ensure scalability and business continuity. • AI, Automation & Operational Scale • Design, build, and deploy AI-powered workflows, agents, and automations that eliminate manual work across Sales, Marketing, Customer Success, and Revenue Operations. • Build AI-driven solutions that automate seller research, account prioritization, CRM updates, meeting follow-up, lead routing, customer engagement, and outbound prospecting. • Develop signal-based workflows using intent data, enrichment signals, buying triggers, customer engagement data, and AI-powered insights. • Evaluate emerging AI technologies and identify practical applications that improve productivity, scalability, and business outcomes. • Continuously identify opportunities to redesign processes using AI and automation so teams can focus on higher-value work. • Help establish AI best practices, governance, and adoption across the go-to-market organization. • Data Infrastructure & Governance • Own data quality from source to activation, ensuring records remain clean, enriched, deduplicated, and trustworthy. • Design enrichment strategies, identity resolution frameworks, and governance processes that improve data accuracy and coverage. • Build and maintain the data infrastructure required to support automation, reporting, forecasting, and operational workflows. • Partner with stakeholders to ensure data is structured, accessible, and reliable for decision-making. • Run automated audits, enrichment workflows, and monitoring processes to maintain ongoing data integrity. • Cross-Functional Leadership • Partner closely with Sales, Marketing, Customer Success, Finance, and Revenue Operations leaders to improve execution, visibility, and operational efficiency across the customer lifecycle. • Translate business requirements into scalable technical solutions and rapidly prototype and deploy improvements. • Act as the internal expert on GTM systems, automation, AI, and operational best practices. • Own projects end-to-end from discovery and design through implementation, adoption, and continuous optimization.