Job Description

Marketing & AI Ops Manager

This is not a traditional marketing ops role. We're looking for someone who builds, automates, and operates at the intersection of modern marketing infrastructure and AI-powered workflow engineering. If your instinct is to fix a broken process rather than document a ticket when you spot one, you're our kind of person.

You'll own the systems and data pipelines that make our demand engine run, from lead capture to conversion tracking to campaign quality assurance. You'll architect automation workflows, experiment with AI agents to accelerate ops velocity, and keep our martech stack running cleanly and intelligently. You'll work closely with marketing, sales leadership, and rev ops to close the loop between program execution and revenue data.

This role sits at a genuinely interesting moment for the category: the playbook for AI-era marketing ops is still being written, and you'll have real latitude to shape how we build it at BigID.

What you'll own

AI systems and automation

• Design and deploy AI-powered workflows and agents to automate repetitive marketing ops tasks
• Build and maintain process automations across the martech stack
• Identify automation opportunities across campaign operations, lead processing, and data quality
• Stay current on emerging AI tooling (MCP integrations, LLM-powered ops, etc.) and bring relevant innovations in-house

Campaign operations

• Coordinate lead enrichment and normalization pipelines
• QA landing pages, campaign sequencing, form routing, and nurture workflows end to end
• Own conversion tracking infrastructure and attribution modeling
• Ensure data integrity across campaign inputs and outputs

Martech stack ownership

• HubSpot: campaign configuration, lifecycle stages, reporting, and workflow management
• Chilipiper: meeting routing logic, form concierge setup, and inbound lead handling
• Navattic: interactive demo management and performance tracking
• Warmly: intent signal monitoring and site visitor enrichment
• GTM / GA4: tag management, event tracking, and conversion configuration

Data quality governance

• Own and enforce data hygiene standards across marketing systems
• Build processes to catch and remediate dirty data before it reaches pipeline

Must-haves

• 3 to 6 years in marketing operations, rev ops, or a closely adjacent function
• Hands-on HubSpot administration experience (not just reporting access)
• Strong working knowledge of GTM and GA4, including custom event configuration
• Demonstrated ability to build and maintain automated workflows without engineering support
• Comfortable working with APIs, webhooks, and lightweight scripting (Python, JS, or similar)
• Sharp instincts around data quality, attribution, and funnel analytics
• High tolerance for ambiguity and a bias toward building over process-documenting

Strong pluses

• Experience building AI agents or LLM-powered workflows in a marketing or ops context
• Familiarity with MCP (Model Context Protocol) integrations
• Prior experience with Chilipiper, Navattic, Warmly, or comparable tools
• Background in a B2B SaaS environment, ideally in security or data

Who you are

• You solve problems by building things, not by escalating them
• You think in systems and spot dependencies others miss
• You can move fast without leaving a trail of technical debt
• You're energized by the pace of AI tooling development, not intimidated by it
• You communicate clearly with both technical and non-technical stakeholders

Our Values: Care · Do · Try · Shine

We care about our customers and each other. We do what it takes to make a positive impact. We try our best and don't give up. We shine — and make it our mission to stand out.

BigBenefits

💻 Remote-first with a global community🏆 Global Culture Corner🏝️ Flexible PTO + Quarterly Volunteer Days💸 Equity participation🏥 100% employer-covered medical, dental, and vision🐶 Pet insurance and legal assistance📚 Learning & Development opportunities💰 Fidelity 401(k) with employer sponsorship🍼 Paid Parental Leave

The annual base salary range is $115,000 - $145,000. Actual salaries will vary and are based on a candidate’s qualifications, skills, and competencies. Salary is just one component of our Compensation Philosophy. Variable/Bonus Compensation & Equity Incentives align with individual and company performance.