Top Tech Jobs & Startup Jobs in NYC, NY

Drive high-priority, cross-functional initiatives to scale the company: diagnose problems, create project plans, build decision tools, support sales/marketing/product, manage pilots, and partner with leadership on metrics and quarterly planning.

Lead product design for AI-native, enterprise coaching experiences: define conversational/LLM-driven interfaces, evolve a design system, ship rapidly with product and engineering, design flows and copy, collaborate closely, and experiment with adaptive AI workflows to boost engagement and adoption at scale.

Drive long-cycle enterprise opportunities by building C-suite relationships, developing business cases and pilots for AI adoption, and partnering cross-functionally to scale Valence's commercial motion.

Design end-to-end features across an AI-native enterprise coaching product, own feature delivery, maintain the design system, collaborate tightly with product and engineering, write product copy/micro-interactions, and explore intuitive AI UX.

Own the operational system for enterprise product launches: drive direct client activation, resolve IT/security blockers, build repeatable launch playbooks, track adoption metrics, synthesize client feedback into product influence, and coordinate cross-functional release and incident processes.

Manage and grow strategic enterprise partnerships, lead consultative deployment of Valence's generative AI coaching platform, drive revenue/usage/expansion, embed as a programmatic partner to deliver measurable value, own renewals and contracting, influence product roadmap, and partner with Sales and Operations to ensure successful large-scale deployments.

Lead end-to-end enterprise implementations of an AI coaching product: design and deliver prompt and memory/knowledge workflows, architect reusable components, define guardrails and evaluation metrics, build lightweight evaluation tooling, collaborate with Product/AI/Engineering and coaching SMEs, mentor others, and measure deployment outcomes (adoption, satisfaction, quality).

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.

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.