Senior GTM Systems & Automation Engineer

About the role

Cobalt was founded on the belief of a fundamental human aspiration: the desire to live better and safer. It all started in 2013, when our founders realized that pentesting can be better. Today our diverse, fully remote team is committed to helping organizations of all sizes with seamless, effective and collaborative Offensive Security Testing that empower organizations to OPERATE FEARLESSLY and INNOVATE SECURELY. Our customers can start a pentest in as little as 24 hours and integrate with advanced development cycles thanks to the powerful combination of our SaaS platform coupled with an exclusive community of testers known as the Cobalt Core. Accepting just 5% of applicants, the Cobalt Core boasts over 400 closely vetted and highly skilled testers who jointly conduct thousands of tests each year and are at the forefront of identifying and helping remediate risk across a dynamically changing attack surface. Cobalt is an Equal Opportunity Employer and we strive to build a diverse and inclusive workforce at our company. At Cobalt we aspire to engage with diverse individuals, communities, and organizations in order to continue to nurture our unique rich diverse culture. Join our team, and be your true self to do your best work. We are looking for a Senior GTM Systems & Automation Engineer to build and own the technical infrastructure that powers our revenue engine. This role reports to the Sr. Director of Revenue Operations and partners closely with Sales, Marketing, Customer Success, and Revenue Operations leaders to scale our go-to-market organization. As a Senior GTM Systems & Automation Engineer, you will own the systems, automations, integrations, and data foundations that enable our teams to operate more efficiently and make better decisions. You will architect scalable solutions across Salesforce, HubSpot, AI-powered workflows, and the broader GTM technology stack while ensuring the business has clean data, reliable systems, and streamlined processes. This is a highly visible, high-impact individual contributor role for someone who combines strong technical expertise with sound business judgment and enjoys building solutions that create measurable business impact. What Success Looks Like Within your first 12 months, you will modernize and scale our GTM infrastructure, improve data quality and system reliability, increase automation across the revenue organization, reduce operational bottlenecks, and help establish a more AI-native operating model that enables our teams to move faster and operate more efficiently.

Responsibilities

• 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 a

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