Marketing Operations Strategy

Key Responsibilities

• Own the Marketing Tech Stack: Take full ownership of our marketing technology stack (CRM, marketing automation, ad platforms, analytics). Set and maintain the tech stack roadmap, decide what to add, consolidate, or retire.
• Set the Standard for Best Practices: Establish governance for the stack (data hygiene, permissions, naming conventions, integration patterns). Act as the internal authority on systems connections and data locations.
• Run End-to-End Campaign Operations: Own the operational backbone of every campaign from setup through QA, launch, and post-launch reporting. Serve as the go-to technical partner for the campaigns team, translating briefs into system configurations, automations, and integrations.
• Own Tracking, Paid Ads & Tag Management: Manage tracking infrastructure including Google Tag Manager, conversion tracking, and pixel/tag implementation across paid ad platforms. Ensure proper instrumentation, accurate attribution, and trustworthy reporting.
• Keep Everything Flowing: Ensure clean, reliable data and audience flow across the full stack (paid media → marketing automation → CRM → reporting).
• Build with AI: Actively evaluate and deploy AI-powered tools and workflows (automations, agents, AI-assisted campaign tooling) to eliminate manual work. Bring recommendations proactively.
• Grow Into Strategic Initiatives: Lead key initiatives in account-based marketing (ABM) and product-led growth (PLG), building systems, signals, and workflows (e.g., intent data, product usage triggers, lifecycle automation).

Preferred Experience & Skills

• Technical Depth: 8-10 years in marketing operations or marketing technology, with hands-on experience administering marketing automation platforms, customer data platforms (e.g., HubSpot, Segment, Zapier), CRM systems (e.g., Salesforce), and ad platforms.
• Systems Thinking: Strong understanding of integrations, APIs, and data flow across a marketing stack, including native integrations, middleware (Zapier), or custom-built connections.
• Campaign Fluency: Proven track record owning end-to-end campaign operations in a fast-moving environment; comfort partnering closely with campaign teams.
• An AI-Builder Mindset: Concrete examples of automations or internal tools created using LLMs or workflow platforms.
• A Bias for the Weeds: Comfortable getting hands-on, building workflows, debugging integrations, and writing queries or scripts.
• Self-Direction: Find and fix problems proactively.

Nice to Have

• Background in paid media operations or ad tech integrations.
• Experience running AI enablement for a non-technical team.

Compensation

• $165,000 - $185,000 + equity
• Competitive compensation including base salary, variable compensation (for relevant roles), meaningful equity, benefits, and perks. Actual compensation varies based on role, level, and location.