Partner Manager (Cloud & Data Platforms) - AI & Ranking Intelligence
Job Description
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About Sequen
Sequen provides an integrated platform that pairs bleeding-edge frontier ranking models with the infrastructure to run them in production at sub-25ms latency and enterprise scale. The world's largest retailers, marketplaces, and travel platforms use Sequen to rank, recommend, and personalize, with an autonomous research engine that compounds model performance into revenue and margin lift measured in hundreds of millions of dollars per customer.
About the Role
Identify, launch, and manage technology partner relationships relevant to Sequen — cloud providers and data platforms including AWS, Google Cloud Platform, Snowflake, and Databricks. Own the full partner lifecycle: sourcing and prioritizing partners, structuring agreements, launching joint motions, and managing the relationship to measurable pipeline and revenue.
Build joint go-to-market plans — co-selling, marketplace listings, joint solutions, and co-marketing — that drive sourced and influenced revenue. Develop deep relationships across partner organizations, from field sales and partner teams to product and executive sponsors.
Partner with Sequen's sales, product, and marketing teams to activate partnerships in the field and equip account executives (AEs) to sell with and through partners. Track, report, and optimize partner performance against pipeline and revenue targets. Help shape Sequen's technology partner strategy and playbook — this function is still being built, and you'll hold the pen.
About You
You must have:
- 5+ years working in partnerships, having partnered with at least one of AWS, Google Cloud Platform, Snowflake, or Databricks on behalf of a SaaS or AI startup (both mandatory).
Know how to build a partnership from scratch — sourcing, launching, and scaling it to real pipeline and revenue. Commercially minded and comfortable owning and reporting against partner-sourced and influenced revenue targets.
Build strong relationships across complex partner organizations and orchestrate the internal teams needed to activate them. Comfortable with ambiguity and building process, playbooks, and structure where none exists. Thrive in fast-paced, rapidly evolving environments and have ideally worked at an early-stage or hyper-growth company. Bachelor's degree or comparable experience.
Strong Candidates May Also
Have experience with cloud marketplace co-sell motions (AWS Marketplace, Google Cloud Marketplace). Have partnered on behalf of a technical product — infrastructure, ML/AI, or data platforms. Have built partner ecosystems in retail, e-commerce, marketplaces, media and entertainment, or travel verticals. Bring an existing network across the major cloud and data platform partner organizations.
What We Offer
A high-impact role owning a core growth channel for a hyper-growth AI company. The opportunity to build a partner ecosystem around category-defining technology. Direct partnership with the GTM leadership and founding team. Very competitive base salary + bonus/commission + meaningful equity.
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Sequen AI
View Company ProfileSequen AI (operating at sequen.ai) is an AI-native behavior design platform engineered for enterprise consumer companies seeking real-time personalization at scale. Founded by Zoë Weil (CEO) and Ethan Benjamin (CTO), the company disrupts traditional recommendation systems by pioneering Large Event Models (LEMs), a novel approach to learning from sparse behavioral sequences without requiring billions of users. Under the hood, Sequen’s LEMs generalize consumer behavior patterns in sub-second inference, enabling dynamic user embeddings that adapt in real time. This allows enterprise-scale businesses to deliver hyper-personalized experiences—driving measurable revenue growth, with early adopters reporting over $162 million in incremental revenue within seven months. Backed by a $22 million total funding round, including a $16 million Series A co-led by White Star Capital and Threshold Ventures with participation from Greycroft, Sequen positions itself as the first foundational model for behavioral personalization.
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