Remote Sales Engineer - AI-First Enterprise Deployments

Valence; San Francisco (CA); Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Competitive compensation

Comprehensive health coverage

Generous PTO & parental leave

401k / pensions

Job summary

Valence is hiring a Sales Engineer to serve as the technical voice in large enterprise deals. You will map Nadia into customer systems, define scopes, and drive the technical discussion from first contact to signature.

You will work with engineering to distinguish standard from custom work and craft a practical, staged path forward. This role requires deep knowledge of enterprise integration patterns, security conversations, and the ability to build tailored demos using AI.

Qualifications

• 3+ years in sales engineering or customer‑facing skincare at a B2B SaaS company.
• Experience with enterprise integration patterns and security conversations.
• Ability to scope work and produce clear architecture questions.

Responsibilities

• Lead technical discovery with enterprise buyers and IT teams.
• Explain Nadia architecture and map integration points to customer env.
• Write technical scope for SOW and route work to the right teams.
• Set realistic timelines with Engineering and manage risk.
• Run security reviews and respond to CISO/IT inquiries.
• Build reusable assets like reference architectures and templates.
• Create tailored demos using AI and scripting (Python/JS).
• Map client architectures and coordinate handoffs to engineering.

Skills

Sales engineering

Enterprise integration

Security & compliance

Technical scoping

Clear writing

Decision making

AI fluency

Coding (Python/JS)

Tools

REST APIs

SOAP APIs

SFTP

SCIM

SSO (SAML/OIDC)

HRIS (Workday)

Teams/365

Job description

Valence is hiring a Sales Engineer to serve as the technical voice in large enterprise deals. You will map Nadia into customer systems, define scopes, and drive the technical discussion from first contact to signature.

You will work with engineering to distinguish standard from custom work and craft a practical, staged path forward. This role requires deep knowledge of enterprise integration patterns, security conversations, and the ability to build tailored demos using AI.