Product Manager

Role Overview

We are seeking a Product Manager to define the vision, strategy and execution of an enterprise-grade Generative AI platform that enables secure, multi-model and action-oriented AI experiences at scale as it evolves from conversational AI into a trusted, agentic system embedded across real business workflows.

• 5+ years of Product Management experience, including 2+ years building AI/ML or GenAI-powered products.
• Proven success launching and scaling a software product from concept to adoption.
• Strong understanding of the LLM stack (pre-training, fine-tuning, in-context learning).
• Familiarity with vector search, RAG architectures, and AI orchestration frameworks.
• Experience designing or shipping agentic or tool-enabled AI systems.
• Comfort prototyping or validating ideas using Python, AI SDKs, or model playgrounds.
• Background in Data Science, AI, or Applied ML is a strong plus.

• Define the long-term vision and roadmap for an enterprise Generative AI platform, evolving from chat-based interactions to agentic, tool-enabled workflows.
• Drive multi-model strategy, balancing intelligence, latency, cost, and enterprise data sensitivity.
• Lead build-vs-buy decisions across commercial APIs, open-source models, and fine-tuned solutions.

• Own the enterprise RAG strategy, ensuring grounded, high-faithfulness responses from proprietary data sources.
• Guide the design of system prompts, reasoning workflows, and AI behaviors to ensure reliability, consistency, and brand alignment.
• Champion automated evaluation and regression testing pipelines to safely scale AI releases.

• Partner with UX to determine when chat is sufficient versus when Generative UI components (tables, KPIs, actions) deliver better user outcomes.
• Define UX standards for streaming responses, long-running tasks, and explainability.
• Ensure AI outputs are trustworthy, traceable, and aligned with enterprise user expectations.

• Lead red-teaming efforts to identify hallucinations, bias, prompt injection, and data leakage risks.
• Embed responsible AI guardrails, usage policies, and compliance requirements into product design.
• Collaborate with security and legal teams to meet enterprise governance standards.

• Act as the connective tissue between business stakeholders, engineering, data, UX, and security teams.
• Translate complex GenAI concepts into clear product narratives for executives and external partners.
• Drive prioritization and trade-off decisions in a fast-moving AI landscape.

Bachelor’s Degree [Technology preferred] and equivalent work experience.

Everest Dx is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.