BigID is an innovative tech startup that focuses on solutions for data security, compliance, privacy, and AI data management. We're leading the market in all things data: helping our customers reduce risk, drive business innovation, achieve compliance, build customer trust, make better decisions, and get more value from their data.
We are building a global team passionate about innovation and next-gen technology. BigID has been recognized for:
BigID named one of Forbes America's Best Startup Employers 2026 - ranked #15 overall and #1 in Security
BigID named Hot Company in Artificial Intelligence and Machine Learning at the Global InfoSec Awards
Citizens JMP Cyber 66 List of Hottest Privately Held Cybersecurity Companies
CRN 100 list named BigID as one of the 20 Coolest Identity Access Management and Data Protection Companies (3 years running)
DUNS 100 Best Tech Companies to Work for
Top 3 Big Data and AI Vendors to Watch in the 2023 BigDATAwire Readers and Editors Choice Awards
2024 Inc. 5000 list for the 4th consecutive year!
Shortlisted for the 2024 AI Awards in the category of Best Use of AI in Cybersecurity
At BigID, our team is the foundation of our success. Join a people-centric culture that is fast-paced and rewarding: you’ll have the opportunity to work with some of the most talented people in the industry who value innovation, diversity, integrity, and collaboration.
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