Manage and scale go-to-market operations by automating workflows, improving audience targeting, tracking campaign and pipeline performance, and turning marketing and sales data into actionable growth insights.
Jobs-Valence jobs
AI-powered leadership coaching for enterprises.
17 open roles at Jobs-Valence
Own complex enterprise opportunities and executive relationships, shaping business cases, pilots, and go-to-market strategy to help Fortune 500 organizations adopt AI and build durable partnerships.
Own positioning, messaging, sales enablement, competitive intelligence, and go-to-market launches for an enterprise AI coaching platform, helping sales teams communicate its value to CHROs and senior executives.
Own and lead the AWS infrastructure platform for an enterprise AI coaching product, shaping cloud architecture, security, deployment pipelines, and scalable infrastructure for application and AI teams.
Own full-cycle recruiting across GTM and technical roles, shape hiring strategy and interview processes, and advise leaders using talent-market insights and funnel data to help Valence scale.
Own a company-level product bet from strategy through adoption, turning ambiguity into measurable outcomes across multiple projects while setting product standards and improving how teams use AI to build.
Analyze product usage, customer behavior, operational performance, and commercial opportunities to guide decisions across Product, Engineering, Sales, and Customer Success while building scalable analytics practices.
Own enterprise client partnerships and deployments of generative AI coaching, driving renewals, expansion, adoption, and measurable business outcomes while shaping product direction through customer insights.
Own and scale the GRC program by coordinating audits and risk assessments, maintaining security and AI governance controls, supporting customer assurance, and turning compliance requirements into practical processes.
Lead enterprise AI implementations for Nadia, designing and evaluating tailored workflows, building reusable deployment patterns, and partnering across product, AI, and coaching teams to deliver safe, high-quality outcomes.
Architect and refine enterprise AI coaching systems, developing LLM-powered conversational experiences and data workflows that deliver personalized, reliable guidance at scale.
Secure enterprise products and platforms by partnering with engineering teams on code, architecture, and design reviews, hands-on penetration testing, security tooling, infrastructure guidance, and customer security needs.
Own enterprise client relationships and commercial outcomes while leading generative AI deployments, guiding behavior change, and translating customer insights into measurable value and product improvements.
Build and operate the secure, reliable platform foundation that helps product and AI teams ship faster, using shared infrastructure, deployment controls, security guardrails, and operational standards.
Build and scale the backend services, AI integrations, and polished user experiences behind an enterprise coaching platform, owning features end to end and shaping engineering practices as the team grows.
Drive high-priority, cross-functional initiatives by diagnosing business problems, building execution plans and decision tools, and helping teams scale across commercial, product, and operational workstreams.
Own enterprise client relationships and guide Fortune 500 organizations through generative AI coaching deployments, driving adoption, renewals, and measurable business outcomes while informing product evolution.
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