Strategic Delivery Lead

ABOUT US

Building the ranking intelligence layer for the internet.

Sequen provides an integrated platform that pairs cutting-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

We're looking for a Strategic Delivery Lead to work closely with our customers as they adopt and deploy Sequen AI. This role sits at the intersection of engineering, product, and go-to-market. You'll work directly with customers who are building with our technology—helping them translate intent into working systems, and ensuring they're able to get meaningful, sustained value.

This is not a traditional account management role. At this stage, it’s closer to a blend of technical advisor, product partner, and operator, where the quality of your judgment will matter as much as your execution.

Key Responsibilities

High-Touch Client Strategic Partnership

White-Glove Communication: Work closely with customers, providing first-in-class, white-glove communication.

Understand Client Topology: Develop a deep understanding of customer goals, systems, and constraints.

Trusted Workflow Advisory: Act as a trusted partner as they design and deploy AI-powered workflows.

Production Stabilization: Help customers move from initial experimentation to reliable production use.

Deep Technical Execution & Enablement

API Integration Support: Support customers integrating with Sequen’s API systems.

Systems Architecture Advisory: Provide guidance on system design, prompting strategies, and performance trade-offs.

Hands-on Diagnostics: Help diagnose issues and unblock adoption in practical, hands-on ways.

Technical Implementation: Guide technical implementation and usage across enterprise infrastructures.

Cross-Functional Product Evolution

Voice of the Customer: Be an advocate for the customer and translate customer needs back to the product team.

Pattern Identification: Identify patterns across customer usage and challenges.

Grounding Roadmaps: Communicate feedback to product and engineering teams to ensure what we build is grounded in real-world use.

Long-Term Customer Success & Expansion

End-to-End Ownership: Take ownership of customer outcomes and drive long-term customer success.

Organic Growth Discovery: Identify expansion opportunities and grow Sequen's digital footprint.

Stakeholder Management: Maintain strong relationships with both technical and business stakeholders.

Qualifications

Experience: 7–10+ years of experience in Deployment Engineering, Technical Program Management, Solutions Engineering, Technical Account Management, or a similar role.

API Fluency: Experience working with APIs or developer-facing platforms.

Systems Core: Strong technical foundation with a clear understanding of system architecture and integrations.

Data Literacy: Ability to articulate analytics concepts like A/B testing.

Stakeholder Engagement: Proven ability to engage and build trust with both low-level engineers and business executives.

Adoption Track Record: Demonstrated track record of driving software adoption, usage, and measurable customer success.

Cross-Functional Nature: Experience working cross-functionally with product, engineering, and go-to-market teams.

Preferred Skills

Domain Expertise: Experience working with AI/ML systems, Large Language Models (LLMs), or large-scale data platforms.

Industry Vertical Coverage: Exposure to consumer-facing integrations, particularly within retail, travel, or media/entertainment sectors.

Startup Mindset: Proven track record in fast-growing startups or early-stage, fast-moving environments.

Cloud Infrastructure: Familiarity with modern cloud platforms such as AWS, GCP, or Azure.

What We Value

Rigorous Systems & Scientific Thinking: You balance algorithmic complexity with microsecond runtime latency constraints. You choose the right mathematical model for the client's current data maturity, prioritizing real-world conversion metrics over theoretical vanity scores.