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Sequen AI

Enterprise behavior design and ranking platform

Vice President of Marketing

Marketing Generalist & ManagementConfirmed live in the last 24 hours
Full-timeRemote in USARemote

About the Job

Requirements

  • Bring 8+ years of B2B marketing experience, including 4+ years leading marketing initiatives at a high-growth enterprise software or artificial intelligence company.
  • Have successfully built and scaled marketing functions from early stage through rapid market expansion, ideally spanning Series A through Series C environments.
  • Understand complex enterprise sales motions involving long cycles, multi-stakeholder buying committees, and high annual contract values, and know how marketing can accelerate them.
  • Have directly owned a marketing profit and loss and speak fluently to capital allocation, Customer Acquisition Cost, pipeline contribution, and overall return on investment.
  • Translate deep technical capabilities into clear, compelling business value for C-suite buyers.
  • Possess deep experience marketing highly technical products to technical executives, including Chief Technology Officers, Chief Information Officers, Vice Presidents of Engineering, and machine learning leaders, and earn credibility with builders.
  • Excel at executing high-yield, account-based marketing campaigns targeting Fortune 500 enterprises.
  • Operate as a player-coach, setting high-level strategy and drafting copy for key landing pages.
  • Take accountability for work, navigate ambiguity, and proactively resolve obstacles to deliver results.
  • Thrive in fast-paced, rapidly evolving environments and have a track record of building marketing programs from 0 to 1.
  • Hold a Bachelor’s degree in Marketing, Business, or equivalent professional experience.

Responsibilities

  • Own the marketing function end to end, including overall strategy, budget allocation, profit and loss management, team structure, and commercial results.
  • Build and execute the go-to-market narrative for an artificial intelligence platform selling to large enterprises.
  • Architect demand generation and pipeline strategies for high-value enterprise transactions, focusing on qualified pipeline and revenue influence.
  • Lead corporate positioning, messaging, and brand across channels, partnering with the Chief Executive Officer and Chief Revenue Officer to refine the company story.
  • Establish a thought leadership and content engine, creating customer proof points, case studies, and executive-level collateral to advance large deals.
  • Own and design field and event marketing initiatives, including executive dinners, industry conferences, and account-based programs targeting Fortune 500 buyers.
  • Establish an account-based marketing strategy in close partnership with Sales, focused on named enterprise retail, marketplace, and travel accounts.
  • Build marketing operations, attribution models, and reporting infrastructure to support data-driven decision-making.
  • Recruit, manage, and scale a high-performing marketing organization.
  • Contribute to broader company strategy and planning as a member of the leadership team.

Desired Qualifications

  • Prior experience marketing artificial intelligence, machine learning, data infrastructure, or personalization technology.
  • A deep understanding of selling or marketing to retail, e-commerce, marketplace, or travel industries.
  • Experience marketing technical products to complex technical buying committees, including engineering, data science, and platform operations teams.
  • Prior experience leading category creation, naming, or corporate repositioning at a venture-backed startup.
  • Experience supporting developer-focused, product-led narratives alongside structured, sales-led enterprise motions.

About the Company

Sequen AI

Enterprise behavior design and ranking platform

Sequen AI provides a behavior design and ranking platform for enterprise consumer apps. Its core engine, Large Event Models (LEM), uses billions of user-event sequences to predict the next action and power in-session personalization, search, and recommendations via a sub-20 ms API. It optimizes business outcomes with reinforcement learning to boost conversions, revenue, and engagement, delivering dynamic re-ranking without clients building their own infrastructure. The company differentiates itself with proprietary LEM technology, a focus on real-time behavior shaping for large enterprises, and high-volume adoption including Fortune 500 clients, aiming to turn relevance into revenue at scale.

Company size
11-50
Company stage
Series B
Total funding
$112M
Headquarters
New York, NY
Founded
2024

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