Senior Product Manager, Applied AI

What you'll do

• Prioritize the internal AI roadmap and translate business needs into engineering requirements, PRDs, and measurable success metrics.
• Partner with business leaders and AI Engineers to design, prototype, deploy, and iterate on internal AI applications, RAG implementations, and agentic workflows.
• Drive adoption and change management while monitoring reliability, usage, and business impact of deployed tools.

What they ask for

• 6+ years of product management or technical product leadership experience, including at least 2 years focused on shipping AI-powered applications, LLM implementations, or process automation systems.
• Track record of internal process transformation, operational optimization, or building software tools for internal business stakeholders.
• Practical understanding of LLMs, prompt systems, agentic patterns, and RAG architectures; hands-on experience with AI tools, prompt engineering, AI coding agents, and rapid prototyping.
• Working familiarity with data architectures, data pipelines, and cloud infrastructure, including SQL, Snowflake, and AWS.

Nice to have

• Experience managing third-party vendor selection, evaluation, and integration for enterprise AI or software solutions.
• Experience scaling internal productivity tools or AI agents within high-growth technology companies.

Pay

$180,000.00 USD to $205,000.00 USD annually (base salary)

Tools

LLMs, SQL, Snowflake, AWS, RAG

AI focus

Build and deploy internal AI applications, prompt pipelines, RAG implementations, and agentic workflows to automate operational processes; prototype solutions and improve adoption, reliability, and output quality.