Deployment Strategist

The role

You will work with large enterprise customers to deploy AI automation, from discovery and requirements through to production on the Tessera platform. You will also work with GTM, Product and Engineering, and carry customer feedback back to shape the product.

What you will do

• Run deep process discovery with customers and decide what is worth solving
• Translate messy customer needs into concrete requirements and drive them to delivered outcomes on the Tessera platform
• Partner with GTM to frame technical boundaries in sales engagements and produce technical collateral, including Statements of Work
• Iterate with customers and cross-functional partners to drive adoption from pilot to full production
• Carry field signal back to Product and Engineering to help shape what is built
• Build durable customer relationships and surface new automation opportunities
• Lead training and workshop sessions on-site to upskill customers on the platform

Required qualifications

• Python and data fluency
• 2+ years in a high-ownership, customer-facing role such as Deployment Strategist, Technical Consultant, Solutions or Sales Engineer, Product Manager, or Solution Architect at a high-growth startup or
• Technical fluency to reason about software systems, read architecture, and work with engineers and customer technical leads
• A track record of taking ambiguous, high-stakes problems from zero to delivered
• Strong communication with technical and non-technical stakeholders
• Ability to operate effectively under ambiguity and fast-moving deployments
• Ownership mentality and willingness to do what it takes to get a deployment over the line
• A history of learning hard things fast and operating outside your original lane

Nice to have

• Founder experience

Benefits

• Relocation stipend provided

Before you apply

• Travel up to 50% is required for customer engagements

About the company

Tessera Labs is a product company whose business model drives outcomes through a platform rather than people. It works with Fortune 500 enterprises deploying AI at scale.