Textlayer
1 - 10 employees
🤖 Artificial Intelligence
🏢 Enterprise
☁️ SaaS
Artificial Intelligence • Enterprise • SaaS
TextLayer is a company that specializes in integrating cutting-edge AI capabilities into existing enterprise infrastructures without the need for extensive rewrites or replacements. They focus on enabling organizations to ship production-ready AI features swiftly, allowing businesses to stay competitive in a market that increasingly prioritizes AI adoption. TextLayer creates a modular approach that ensures enterprises can evolve with new AI advancements while maintaining ownership and control over their systems and data.
Lead AI Product Manager
🕒 May 11
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Textlayer
1 - 10 employees
🤖 Artificial Intelligence
🏢 Enterprise
☁️ SaaS
Artificial Intelligence • Enterprise • SaaS
TextLayer is a company that specializes in integrating cutting-edge AI capabilities into existing enterprise infrastructures without the need for extensive rewrites or replacements. They focus on enabling organizations to ship production-ready AI features swiftly, allowing businesses to stay competitive in a market that increasingly prioritizes AI adoption. TextLayer creates a modular approach that ensures enterprises can evolve with new AI advancements while maintaining ownership and control over their systems and data.
📋 Description
• The Lead AI Product Manager owns client engagements end-to-end: the discovery call, the eval rubric, the scoping doc, the production handoff, and the post-launch growth phase based on learning from real usage. • Run discovery with operating partners to identify the use case worth building. • Turn ambiguous AI ambitions into eval-ready scope. • Hold scope with senior stakeholders. • Work as a peer with senior engineers. • Run the engagement cadence: weekly client reviews, internal eval reviews, milestone demos. • Drive post-launch growth. • Codify what works. • Mentor PMs as the team grows.
🎯 Requirements
• 7+ years of product management experience, with at least 2 years shipping AI products end-to-end. • Strong product generalist fundamentals before AI specialism. • Comfort going deep technically. • Strength in client work. • Strong written communication.
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