Senior Marketing Operations Manager

LanceDB is an AI-native multimodal lakehouse that enables researchers and companies to work with large-scale multimodal data for AI development. The Senior Marketing Operations Manager will build and operate the marketing systems, data processes, lead programs, attribution, campaign operations, and reporting that turn Marketing activity into measurable pipeline.

Responsibilities:

• Be the directly responsible individual (DRI) for our marketing systems, including HubSpot marketing automation, signal and enrichment tools (e.g. Common Room, Clay), advertising platforms (Google Ads, LinkedIn, Reddit), web analytics, and event and webinar tooling. You’ll help audit what we have, decide what we need, and implement (or cut) systems when necessary
• Build and run lead management: capture, enrichment, account assignment, routing, lifecycle stages, and scoring, so the right leads reach the right sellers quickly and nothing falls through the cracks
• Own event lead flow end to end, including registration, badge scans, enrichment, account assignment, and follow-up routed to the right owner within a clear SLA
• Build and run the open-source qualified lead program with Product, Engineering, and Marketing, turning open-source activity and account behavior into a scoring system that triggers outreach at the right moment
• Contribute to attribution and marketing reporting. Build the dashboards that show sourced and influenced pipeline by channel, program, and account, including a practical way to measure influence on founder-led and frontier lab deals that Marketing shapes but doesn't source
• Keep our data clean. Own marketing data hygiene, field governance (including Deal Source), deduplication, and enrichment in partnership with RevOps
• Run campaign operations: forms, landing pages, email programs, list uploads, and registration flows, including for flagship events like our Reverie summit
• Support the operating rhythm for Marketing: weekly funnel reporting against goal (MQLs, meetings booked and held, pipeline, and new ARR), budget tracking, and the data to support quarterly planning
• Partner with Revenue Marketing on ABM infrastructure, including target account lists, segmentation, intent and engagement signals, and program measurement
• Proactively find and ship improvements. Use AI and automation to make the whole team faster, from enrichment and research workflows to reporting

Requirements:

• 6-8 years in marketing operations, revenue operations, or growth operations at B2B technology companies, ideally related to developers or AI
• Someone who is AI-pilled. In addition to having a MOPs background, you're comfortable with a GTM engineering approach and using the latest AI tools like Claude or Codex to build in intelligent automations
• Deep, hands-on experience with a CRM (SFDC or HubSpot) with a focus on marketing automation, workflows, lifecycle, reporting, and data modeling
• You've built these systems yourself, not just managed an agency or team that did
• Experience with the modern GTM data stack, such as enrichment and workflow tools (e.g. Clay), signal platforms (e.g. Common Room), sales engagement (e.g. Apollo), ad platforms, and web analytics
• Hands-on experience designing lead routing and account assignment, including assigning event lead flow
• A track record of building attribution and pipeline reporting that leadership trusts and uses to make decisions
• Proven ability to own work end to end without a team to support you
• You have taste and strong pattern-matching for common problems, and you move quickly and with confidence
• A foundation-builder's mindset: you're motivated by creating process, systems, and measurement where little exists today, and you know when "good enough and shipped" beats "perfect and pending."
• You use AI thoughtfully as an operator, iterating on how it can improve and streamline your work and the team's
• Excellent communicator who can partner with founders, Sales, RevOps, and Engineering and move fast in a small, high-ownership team
• Experience with PLG, open-source, or product-usage signals feeding a sales-led motion is a strong plus
• experience at an AI, database, data infrastructure, or developer tools company, or scripting and API experience (Python, webhooks, reverse ETL)