Solutions Engineer

Role overview Own the technical relationship for enterprise customers evaluating and adopting an enterprise software suite. From discovery and proof of concept through production launch and ongoing account growth, you will connect client architecture and authentication needs to practical implementations, working across sales, implementation, account management, product, and engineering.

Responsibilities - Lead technical discovery with client engineering, data, and business stakeholders; map architecture and identity needs and define suitable use cases. - Partner with sales on new opportunities, implementation teams on rollouts, and account managers on existing customers. - Run trials and proofs of concept that demonstrate fit with client workflows and help move evaluations toward adoption. - Guide deployments into production, including GraphQL request authentication, cloud setup, single sign-on, and SCIM provisioning. - Manage technical escalations by testing API requests, reviewing logs, and resolving authentication, credential, or licensing issues. - Share recurring customer issues with product and engineering teams, and build scripts or internal tools to scale support and implementation work.

Requirements - Five or more years in a client-facing technical role such as solutions engineering, solutions architecture, or sales engineering, serving large enterprise customers. - Strong discovery skills, including the ability to ask open-ended questions before proposing a solution. - Ability to translate technical details into clear business outcomes for nontechnical stakeholders. - Hands-on engineering experience, including the ability to write and debug code. - Working knowledge of REST or GraphQL APIs, identity protocols such as OAuth 2.0, SAML, and SCIM, and at least one major cloud platform. - Independence and adaptability in a fast-growing environment where processes and playbooks are still evolving.

Nice to have - Experience selling to or supporting banking, asset management, private markets, corporate, or consulting organizations. - A computer science or related technical degree, and familiarity with MCP, LLM workflows, or AI agents.

Benefits and work setup - Remote in the United States or based in New York City. - The posted base salary range is $156,000–$180,000. A performance-based bonus, equity, and benefits may also be offered.