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GC AI

Marketing Automation Manager

Sorry, this job was removed at 08:19 p.m. (PST) on Thursday, Dec 04, 2025
Remote
Hiring Remotely in United States
110K-125K Annually
Remote
Hiring Remotely in United States
110K-125K Annually

Similar Jobs at GC AI

24 Days Ago
Remote
United States
165K-350K Annually
Mid level
165K-350K Annually
Mid level
Artificial Intelligence • Legal Tech
Embed with customers to design, build, and deploy GC AI integrations into legal workflows. Develop production-grade API/webhook integrations, troubleshoot deployments, create reference implementations and documentation, and feed product insights back to Engineering to improve the platform. Travel to customer sites up to 25% as needed.
Top Skills: APIsLlmsPythonSdksTypescriptWebhooksWorkflow Automation
About company

GC AI is currently an AI platform for in-house lawyers to 10x themselves. Using the latest LLMs, we are building AI agents that can use company knowledge, leverage external sources, and connect with internal tools to provide better and faster legal advice to the rest of the company. Thousands of weekly active users tell us they “cannot imagine their lives without GC AI” - which has led us to 95% retention and a NPS of 75.

This is a once-in-a-generation opportunity to build for a $1T annual market. We have jaw-dropping product-market fit - growing our customer base from 0 to 500+ legal teams in a year and 3X ARR growth in the last 4 months. Join our Series A stage rocket ship backed by top investors like Sound Ventures, Fellows Fund, Guillermo Rauch and Worklife Ventures. GC AI is a small but mighty team of lawyers, engineers, sellers and doers. Here, you’ll have infinite room to grow and rethink how legal work gets done.

Come build the future with us.

About the role:

We are seeking a detail-oriented, data-driven Marketing Automation Manager with deep experience in HubSpot to manage, optimize, and scale our email marketing and marketing automation programs. You’ll own the setup, execution, testing, and reporting of automated workflows, nurture campaigns, and triggered communications — ensuring a seamless, personalized experience for prospects and customers across the funnel.

This is a hands-on role with significant growth potential. The right candidate is passionate about using technology and data to drive engagement, conversions, and revenue.

What you'll do and impact you'll make:
  • Build and maintain automated workflows, nurture sequences, triggered and “next best action” campaigns in HubSpot.

  • Create, QA, and deploy marketing and lifecycle programs (acquisition, activation, onboarding, growth, reactivation).

  • Leverage AI-powered tools (predictive lead scoring, send-time optimization, subject line generation) to continuously improve performance.

  • Plan and execute A/B tests across the customer journey to drive performance and conversion.

  • Manage segmentation, data integrations and personalization to deliver relevant, timely communications.

  • Monitor and maintain database health, including data hygiene, lead scoring, and opt-out compliance.

  • Use HubSpot analytics and AI insights to make recommendations and iterate on campaigns.

  • Continuously optimize personalized journeys to improve activation, growth, and retention.

  • Ensure campaigns comply with GDPR, CAN-SPAM, and other regulations.

  • Serve as the org’s marketing automation expert, driving best practices and scaling automation as we grow.

Required Experience:
  • 5+ years of experience in HubSpot Marketing Hub (or similar MAP).

  • HTML/CSS for email editing required.

  • Strong understanding of email marketing, marketing automation, lead nurture, and “next best action” strategies.

  • Experience with segmentation, scripting languages, data types, logic constructs, data integrations, personalization, and lead scoring.

  • Familiarity with CRM systems (HubSpot preferred) and data hygiene best practices.

  • Strong analytics skills with the ability to translate data into insights.

  • Excellent attention to detail, project management, and QA skills.

Nice to have:
  • Experience working with an early-stage series A start-up company.

What we offer:
Growth & Impact
  • Shape the future of a rapidly growing startup

  • Direct collaboration with founding team

  • Real influence on company strategy and direction

  • A voice that matters - your ideas will be heard and implemented

Environment & Benefits

  • Competitive salary, equity and healthcare

  • We’re a hybrid company — many roles are remote-friendly, while some teams require meeting in person a couple of days a week in the Bay Area office.

  • High-energy, joyful team environment

Career Development

  • Mentorship and learning opportunities

  • Clear path for growth in an expanding company

  • Exposure to cutting-edge technologies and practices

  • Freedom to innovate and own crucial systems

HQ

GC AI San Mateo, California, USA Office

GC AI San Mateo, CA Office

20 N San Mateo Dr, Suite 5 and 8, San Mateo, California, United States, 94401 2814

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

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