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Sequen AI
AI & Machine Learning 2h ago

Field Engineering Manager

Sequen AI
United StatesUnited States
Full-time
Not Disclosed
Senior-Level

Job Description

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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.

The Role

Build and lead Sequen's Field Engineering function from the ground up — hiring, coaching, and growing a team of 4–5 Field Engineers into a world-class technical pre-sales organization. Own the Field Engineering playbook: define the demo motion, POC and proof-of-value frameworks, technical qualification standards, and the collateral and processes the team runs on. Partner with sales leadership as the technical counterweight in the field, ensuring every eight-figure cycle has the technical horsepower to win the evaluation and close. Hire and scale the team ahead of demand — define the role, build the interview process, raise the bar, and grow the function as Sequen expands its named-account coverage. Serve as the escalation point and technical authority on the most strategic, complex evaluations, stepping directly into deals alongside AEs and Field Engineers when it matters. Build the connective tissue between the field and product, ML, and forward deployed engineering — turning customer requirements and evaluation learnings into a feedback loop that shapes the roadmap. Establish the metrics, forecasting inputs, and operating rhythm that make Field Engineering a measurable, scalable driver of technical win rates. Help shape how Sequen lands and grows customers: our go-to-market is still being written, and you'll hold the pen on the technical half of it.

About You

You should have 8–12+ years of pre-sales / sales engineering / solutions engineering experience, with at least 4 years leading Field Engineering or Sales Engineering teams. Strong customer-facing communication skills. Have built or substantially scaled a technical pre-sales function. Have led technical sales for technical products — infrastructure, ML/AI, data platforms, search/personalization. Track record of driving technical wins on seven- and eight-figure enterprise deals. A builder who creates process, frameworks, and playbooks where none exist. Genuine business acumen. Partner naturally with sales leadership. Communicate with equal fluency to a CPO and a staff engineer. Full ownership and comfort navigating ambiguity. Bachelor's degree or comparable experience, ideally in a technical field.

Strong Candidates May Also

Have led technical pre-sales into retail, e-commerce, marketplaces, or travel verticals. Hands-on depth in recommendation, ranking, search, or personalization systems. Scaled a team through rapid revenue and headcount growth. Built POC or proof-of-value motions tied to usage-based, value-based, or lift-share commercial models. Worked closely with forward deployed engineering or professional services.

What We Offer

High-impact leadership role owning a function central to how a hypergrowth AI company wins its most important technical evaluations. The opportunity to build a team and playbook from the ground up around category-defining technology with proven, quantified customer results. A seat shaping go-to-market strategy in direct partnership with the founding team, sales leadership, and product/ML. Very competitive base + bonus + meaningful equity.

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Sequen 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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