Senior Deployment Strategist

Role Description

We’re looking for a Senior Deployment Strategist 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

• 7–10+ years of experience in Deployment Engineering, Technical Program Management, Solutions Engineering, Technical Account Management, or a similar role.
• Experience working with APIs or developer-facing platforms.
• Strong technical foundation with a clear understanding of system architecture and integrations.
• Ability to articulate analytics concepts like A/B testing.
• Proven ability to engage and build trust with both low-level engineers and business executives.
• Demonstrated track record of driving software adoption, usage, and measurable customer success.
• Experience working cross-functionally with product, engineering, and go-to-market teams.

Preferred Skills

• Experience working with AI/ML systems, Large Language Models (LLMs), or large-scale data platforms.
• Exposure to consumer-facing integrations, particularly within retail, travel, or media/entertainment sectors.
• Proven track record in fast-growing startups or early-stage, fast-moving environments.
• 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.
• Uncompromising Ownership: You treat production stability and client performance as a personal reflection of code quality.
• Pragmatic Speed: You possess the startup velocity to design, deploy, and validate robust revenue-generating prototypes quickly.
• Strategic Relationship Building: You can speak fluently with both deep research scientists and cross-functional enterprise executives.

Why This Role?

At this stage, a small number of customer relationships can meaningfully shape the trajectory of Sequen. This role is an opportunity to work directly with early clients, influence product direction, and help define how AI systems are deployed in real-world environments.