Jobs at Valence

Serve as the technical voice in enterprise sales, leading discovery, architecture mapping, integration scoping, security reviews, technical demonstrations, and implementation handoffs. Explain enterprise integrations and AI capabilities, define standard versus custom work, manage technical risks and timelines, and create reusable sales engineering assets. The role also involves building tailored prototypes with AI tools and scripting, collaborating with engineering, and traveling regularly to customer sites.

Own full-cycle recruiting for GTM and technical roles, from intake and sourcing through interviews, offers, and closing. Partner with hiring managers, build proactive pipelines, deliver high-touch candidate experiences, track recruiting funnel metrics, and maintain Ashby as the ATS source of truth. The role also involves sharing market insights, experimenting with AI recruiting tools, and operating autonomously in a fast-paced B2B SaaS or AI startup environment.

Lead Valence’s talent acquisition strategy, recruiting team, hiring systems, and workforce planning. Partner with executives on headcount, organization design, leveling, and hiring decisions while personally managing senior and difficult searches across GTM and technical functions. Establish interview frameworks, recruiting metrics, operational processes, employer branding, and compensation strategies. Improve recruiting workflows through AI and maintain Ashby as the recruiting source of truth.

Build and operate Valence's shared platform primitives (auth, routing, LLM gateway, deployment, observability, SLOs) to enable safe, scalable, and compliant delivery of AI-first products. Implement CI/CD gates, progressive delivery, rollback automation, security guardrails, region-aware routing, and developer-facing templates and tooling.

Design, build, and productionize LLM-based conversational and AI systems for enterprise coaching. Integrate structured and unstructured data, prototype end-to-end services, improve model behavior and observability, and collaborate with product and engineering to deploy scalable, reliable AI-driven coaching workflows.

Design and build full-stack features for an LLM-powered coaching platform: architect backend services and APIs, integrate models, craft responsive front-end experiences, ensure enterprise-scale performance and security, drive CI/CD and observability, debug across the stack, and mentor engineers while collaborating with product and design.

Lead enterprise client partnerships to deploy Valence's generative AI coaching platform. Drive renewals, expansion, and usage targets; embed programs within client organizations; guide behavior change; influence product roadmap; partner with Sales and Operations; and build fluency in generative AI, ML ethics, and industry-specific enterprise deployment.