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Valence

AI-driven leadership coaching platform for enterprises

Sales Engineer

Pre-Sales Solution EngineeringConfirmed live in the last 24 hours
Full-timeNo salary listedRemote

About the Job

Requirements

  • At least 3 years of experience in sales engineering, solutions architecture, or a customer-facing engineering role at a B2B SaaS company selling to large enterprises.
  • Hands-on fluency with enterprise integration patterns, including REST and SOAP APIs, SFTP and batch file feeds, webhooks, single sign-on using SAML or OIDC, and SCIM provisioning.
  • Comfort with enterprise security and compliance conversations, including SOC 2, data retention, encryption and BYOK, single- versus multi-tenant architectures, and cloud networking such as private connectivity.
  • Experience scoping work delivered by other engineers and owning whether the scope was correct.
  • Ability to turn a two-hour discovery call into a one-page architecture and a clear list of open questions.
  • Ability to stay calm and honest under pressure when a customer is demanding and a deal is on the line.
  • Daily use of AI tools and ability to explain how LLM products are prompted, grounded, and evaluated, and where they fail.
  • Ability to use AI tools and coding agents to build a tailored demo or lightweight prototype using scripting such as Python or JavaScript, APIs, or product configuration.
  • Comfort working with colleagues across different time zones.
  • Valid work authorization for the country of hire.

Responsibilities

  • Lead technical discovery with enterprise buyers, HR technology owners, IT, and information security teams.
  • Explain Nadia's architecture and how standard enterprise systems and practices—including SSO, SCIM, HRIS synchronization, Teams deployment, data residency, and encryption keys—map to a customer's environment.
  • Map customer architectures, distinguish standard connectors from configuration and custom work, and write the technical scope for statements of work.
  • Set realistic timelines with Engineering and route work to core engineering, forward-deployed engineering, or solutions engineering teams.
  • Run security reviews and questionnaires, and handle CISO and IT conversations with clear, accurate answers.
  • Manage customer expectations by pushing back on requirements when appropriate, clarifying delivery constraints and timelines, and finding simpler solutions that meet customer needs.
  • Build reusable reference architectures, security answers, and scoping templates to speed up future deals.
  • Use AI and AI-first principles to build tailored demonstrations and quick prototypes showing how Nadia works with a customer's frameworks, data, and systems.
  • Map client architectures, write technical specifications for customer integrations, identify and define implementation risks for systems not previously integrated, and hand off work to engineering and forward-deployed engineering teams for delivery.
  • Provide full people leadership for Valence's enterprise deployment organization in the assigned region, influence execution of major launches, and shape deployment best practices.

Desired Qualifications

  • Experience with HRIS and talent systems, especially Workday, or with Microsoft Teams and the Microsoft 365 ecosystem.
  • Experience helping customers evaluate AI quality, such as building evaluation sets or success criteria.
  • Experience as an early or first sales engineer at a growth-stage company.

About the Company

Valence

AI-driven leadership coaching platform for enterprises

Valence provides a B2B digital platform that delivers AI-powered leadership coaching. Its main product is Nadia, an AI coach integrated into a suite of tools that helps organizational leaders prepare for performance reviews, manage team changes, and improve team dynamics. The platform works by using AI to analyze leadership situations, provide personalized feedback, and coach users based on research about human dynamics and team performance. Valence differentiates itself by offering a research-backed, personalized coaching experience within an enterprise software package designed for organizations, rather than consumer-focused services. The company’s goal is to help leaders develop their skills and build more effective teams by providing scalable, data-informed coaching at the enterprise level.

Company size
51-200
Company stage
Series B
Total funding
$75.1M
Headquarters
New York City, New York
Founded
2017

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