Senior Growth Operations Manager

Lead the architecture and optimization of the go-to-market technology stack, ensuring seamless integration between platforms such as HubSpot, Salesforce, Clay, Hightouch, and BigQuery. Design scalable data models, integration frameworks, and governance standards, including naming conventions, documentation, monitoring, and quality controls. Build reusable marketing and growth workflows in collaboration with Growth, Account-Based Marketing (ABM), and Business Development teams, including lead lifecycle management, routing, and automated handoffs. Own the architecture of account and contact data models, scoring frameworks, intent signals, and enrichment systems to ensure reliable and actionable CRM data. Partner with Data teams to develop and improve predictive models, supporting accurate targeting, prioritization, and growth strategies. Develop and implement AI-powered agents and LLM-driven workflows for research, data enrichment, automation, and operational orchestration. Evaluate emerging AI technologies and establish best practices and adoption standards across the operations team. Collaborate with Revenue Operations and Data teams to strengthen attribution, predictive measurement, and performance reporting through tools such as Omni and BigQuery. Identify operational inefficiencies, data gaps, and potential business risks, translating insights into actionable improvements and communicating them to relevant stakeholders. Provide technical guidance, mentor colleagues, and review operational solutions to ensure consistency, scalability, and high-quality execution.

Requirements:

At least 6 years of experience in Marketing Operations within a B2B SaaS, cybersecurity, or infrastructure technology environment. Demonstrated experience leading complex, cross-functional initiatives and mentoring team members in fast-paced, high-growth organizations. Advanced expertise in marketing automation and CRM platforms, particularly HubSpot and Salesforce, as well as lead routing solutions such as LeanData or equivalent tools. Strong technical specialization in one or more areas of the marketing technology stack, with the ability to design and manage complex integrations and scalable architectures. Advanced SQL skills and hands-on experience with data modeling in cloud data warehouses such as BigQuery. Proficiency in Python or JavaScript, including the ability to develop production-quality scripts and integrations using REST APIs. Experience designing and managing lead scoring, intent data, and enrichment systems, with a solid understanding of predictive modeling concepts and evaluation methods. A strong AI-oriented mindset, with practical experience building agents, automations, and workflows using tools such as Claude Code, Cursor, and Clay. Ability to independently scope projects, evaluate technical options and trade-offs, build solutions, and deliver results without relying exclusively on traditional development backlogs. Excellent communication, stakeholder management, problem-solving, and collaboration skills, with the ability to influence teams across multiple business functions.

Nice to Have:

Experience supporting product-led growth or developer-focused go-to-market strategies alongside enterprise sales. Familiarity with dbt or similar data transformation frameworks. Experience developing internal tools and custom solutions beyond standard integrations between existing platforms. Background building Account-Based Marketing (ABM) infrastructure, including intent data capabilities and account-level performance reporting. Curiosity, adaptability, and a willingness to explore new technologies and continuously improve existing processes.

Benefits:

Competitive Compensation: Annual base salary ranging from $140,000 to $167,500 USD. Equity Opportunities: Stock options granted upon hiring and promotion, with opportunities to participate in secondary offerings and an extended 10-year exercise window. Comprehensive Healthcare: 100% employer-paid medical, dental, and vision insurance premiums for employees and their dependents. Remote-First Culture: Fully remote working environment with opportunities to connect through team meetups and twice-yearly destination summits. Monthly Stipend: Financial support for coworking spaces, phone, and internet expenses. Flexible Time Off: Generous, flexible paid time off to support work-life balance and personal well-being. Paid Parental Leave: 18 weeks for birthing parents and 12 weeks for non-birthing parents, with flexible usage throughout the child's first year. Professional Growth: Opportunities to work with advanced technologies, influence strategic initiatives, and develop expertise in AI-driven growth operations. Collaborative Culture: A transparent, supportive environment that values intentional action, customer focus, trust, continuous improvement, and teamwork.

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

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