Top Tech Jobs & Startup Jobs

Lead full-cycle recruiting for GTM and technical roles; partner with leadership on role scope, hiring strategy, and calibration; build proactive pipelines; design structured interviews; use funnel data and market intelligence to drive hiring performance and employer brand.

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.

Lead long-cycle, consultative enterprise engagements with C-suite stakeholders to drive AI adoption. Build business cases, design pilots, advance opportunities to close, and partner cross-functionally to shape go-to-market strategy and scale commercial motion for Fortune 500 clients.

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.

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.

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 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.

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.

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.

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.