opengreenhousebvp
Marketing & AI Ops Manager
BigID
LocationUSA Remote, USA (Remote)
WorkplaceFull
Last observed2026-06-29 02:03:18.206447
Job idbvp-bigid:greenhouse:8607014002
Who we are: 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
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