Solutions Engineer, AI Build Team

Stripe

Confirmed live today High trust

Quick summary

Work type
On-site
Location
New York, NYSouth San Francisco, CA
Salary
$239,900–$359,900 / yr
Posted
11 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $197k
This role $300k
$125k $385k
below market most similar roles pay here above market

This role pays more than 92% of similar roles. Most pay $159,025–$235,750 — the blue band above. At the midpoint, this role pays about $300k versus about $197k for comparable roles.

Based on 240 similar postings.

Employer

About Stripe

Stripe is a financial infrastructure platform for internet businesses, providing payment processing, billing, fraud prevention, and banking-as-a-service APIs to businesses of all sizes globally. Industry: Payments Infrastructure & Financial Technology

Stripe currently has 131 open roles on FindRole.

Listed pay typically runs $190,400–$285,600 across 128 roles with salary data.

Most-posted roles

View all roles at Stripe

At a glance

TL;DR · Solutions Engineer, AI Build Team

Solutions Engineer, AI Build Team joins a new, industry-focused team dedicated to building with leading AI companies. This role involves owning complex proof-of-concept engagements from initial scoping through activation, working directly with frontier AI companies on payments, billing, and monetization infrastructure. You will perform customer discovery, solution design, and rapid prototyping to close 0→1 solution gaps and influence the product roadmap. Key responsibilities include creating repeatable patterns, leading cross-functional teams, and translating deployment friction into product requirements. Required skills include experience with APIs, integrations, application architecture, and data flows. You must be able to prototype using modern AI coding harnesses like Cursor, Claude Code, or Codex, and possess working proficiency in languages such as Python, JavaScript/TypeScript, Java, or Ruby.

What does a Solutions Engineer earn?

Median $190000 from 49 postings across 16 companies.

See salary data

What you'll do

  • Own strategic proof-of-concept engagements from initial scoping through activation and handoff.
  • Work with customer engineers to understand workflows and rapidly prototype production-ready solutions.
  • Design solutions spanning multiple products while identifying if blockers require configuration or core product changes.
  • Navigate incomplete products and interoperability gaps to deliver immediate customer outcomes.
  • Translate customer needs and deployment friction into clear requirements for the product roadmap.
  • Coordinate cross-functional teams including sales, engineering, and professional services across the engagement lifecycle.
  • Convert successful customer-specific work into reusable prototypes, reference architectures, and implementation playbooks.
  • Stay current on emerging AI companies, products, and technical developments across the industry.

What we're looking for

  • 7+ years of relevant experience in customer-facing technical delivery, solutions engineering, implementation, technical product management, or a related field.
  • Experience owning complex customer engagements from discovery and solution design through implementation or activation across pre- and post-sales phases.
  • Demonstrated success in ambiguous, 0→1 environments where standard product, integration, or implementation patterns did not yet exist.
  • Strong understanding of APIs, integrations, application architecture, and data flows.
  • Ability to prototype rapidly using modern AI coding harnesses and development tools such as Cursor, Claude Code, or Codex.
  • Working proficiency in one or more relevant languages, such as Python, JavaScript/TypeScript, Java, or Ruby.
  • Ability to build trusted relationships with customer engineers, technical leaders, founders, and other senior stakeholders.
  • Ability to lead through influence across sales, product, engineering, implementation, and post-sales teams while maintaining ownership of customer outcomes.

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