Sales Engineer

New
V
ValenceEnterprise AI
We have two seats open for this role: one based in New York, NY and one based in London, UK, each working a minimum of 3 days a week in office. We will consider remote candidates elsewhere in the relevant region for the right background., Comfortable working with colleagues across different time zones.Full-TimeMiddle
Salary not disclosed
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Job Details

Experience
3+ years in sales engineering, solutions architecture or a customer-facing engineering role at a B2B SaaS company selling to large enterprises.
Required Skills
PythonRESTful APIs

Requirements

  • Have 3+ years in sales engineering, solutions architecture, or a customer-facing engineering role at a B2B SaaS company selling to large enterprises.
  • Demonstrate hands-on fluency with REST and SOAP APIs, SFTP, batch file feeds, webhooks, SSO using SAML or OIDC, and SCIM provisioning.
  • Be comfortable discussing SOC 2, data retention, encryption and BYOK, single- versus multi-tenant architecture, and private cloud connectivity.
  • Have experience scoping work delivered by other engineers and owning the accuracy of the scope.
  • Be able to turn discovery discussions into a concise architecture and a clear list of open questions.
  • Use AI tools regularly and explain how LLM products are prompted, grounded, and evaluated, including their limitations.
  • Be able to build tailored demos or lightweight prototypes using scripting such as Python or JavaScript, APIs, or product configuration.
  • Be comfortable working with colleagues across different time zones.
  • Hold valid work authorization for the country of hire.

Responsibilities

  • Lead technical discovery with enterprise buyers, HR tech owners, IT, and InfoSec.
  • Explain Nadia's architecture and how enterprise systems and requirements map to a customer's environment.
  • Map customer architectures and classify requirements as standard connectors, configuration, or custom work.
  • Write technical scopes for statements of work and customer integrations.
  • Set realistic timelines with Engineering and route work to the appropriate engineering team.
  • Run security reviews and questionnaires and handle CISO and IT conversations.
  • Define implementation risks for systems not previously integrated and hand off work to engineering and FDE teams.
  • Build reusable reference architectures, security answers, and scoping templates.
  • Use AI tools to create tailored demos and lightweight prototypes for customers.
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