Director GTM Engineering
United StatesFull-TimeDirector
Salary not disclosed
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Job Details
- Experience
- 10–15+ years
- Required Skills
- Artificial IntelligenceSalesforceRESTful APIs
Requirements
- 10–15+ years of experience in software engineering, data engineering, or GTM/revenue systems engineering in high-growth environments
- Strong hands-on expertise with Salesforce
- Strong hands-on expertise with marketing automation platforms (e.g., Marketo)
- Strong hands-on expertise with CRM-integrated ecosystems
- Proven ability to design and implement scalable APIs
- Proven ability to design and implement data pipelines
- Proven ability to design and implement workflow engines
- Proven ability to design and implement system architectures
- Experience building and leading engineering teams focused on GTM, revenue, or marketing systems
- Deep understanding of data-driven growth
- Deep understanding of experimentation frameworks
- Deep understanding of attribution
- Deep understanding of lifecycle marketing systems
- Strong cross-functional communication skills with experience influencing senior business and technical stakeholders
- Background in B2B SaaS, fintech, or similar data-intensive environments is highly preferred
- Experience with AI-driven GTM systems or automation is a strong plus
- Ability to operate in fast-paced, high-growth environments with strong execution focus
Responsibilities
- Own and evolve the end-to-end GTM architecture across CRM, marketing automation, data platforms, analytics, and revenue systems
- Lead the design of scalable integrations and data flows between Salesforce, Marketo, demand generation tools, and downstream analytics systems
- Build and lead a high-performing GTM engineering team, setting roadmap priorities and delivering both quick wins and long-term platform improvements
- Partner closely with Growth, Revenue Operations, Marketing, and Data teams to translate business needs into scalable technical solutions
- Establish standards for data governance, tracking, attribution, privacy, and system reliability across the GTM ecosystem
- Implement monitoring, alerting, and QA processes to ensure visibility and health of all GTM systems
- Drive the creation of reusable frameworks, automation patterns, and AI-ready infrastructure for experimentation and optimization
- Align GTM systems strategy with broader company objectives, ensuring scalability, efficiency, and continuous improvement
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