Job Description

San Francisco, CA, United States

Remote Full Time

Posted 7 days ago

A close-knit and collaborative early-stage startup environment where every voice is heard and every opinion matters; 50 team members as of 11/2024.

Competitive salary and stock option equity packages; We're a Series A startup.

Excellent Medical Plans to choose from including HSA plans, PPOs, and HMOs from Kaiser and Aetna; Dental and Vision insurance through Guardian; Copy.ai pays up to $800/month per employee for monthly premiums. 100% REMOTE startup! Our team is distributed all over the US and Canada.

UNLIMITED PTO; We truly believe in work-life balance and that hard work should be balanced with time for rest and rejuvenation.

401k plan and automatic 3% employer contribution from Day 1.

Brand new work-sponsored computer. IRL / In-Person retreats throughout the year.

About the role:

We believe AI will usher in a new era of human creativity, thinking, and innovation. Our generative AI platform is purpose-built to drive these outcomes for our customers, giving them the ability to design and create high-impact, high-leverage AI workflows that power their business. We have solid traction but are still a young company. This role is what you make of it, and your teammates and colleagues will help you every step of the way. You’ll look back on your time at Copy.ai and view it as the most impactful and highest growth phase of your career. There’s a lot to take on, but we trust that you’re up to the challenge. Copy.ai is a fully remote company. All employees must be able to work 9am-5pm in their timezone, Pacific to Eastern.

We’re looking for a seasoned and innovative Senior Product Manager to lead the build-out of our ML/AI-driven knowledge graph platform, evaluation systems, and data feedback loops. This role is critical in shaping our platform into a cutting-edge work AI solution that enables enterprises to automate workflows, extract actionable insights, and unlock unparalleled productivity. You’ll collaborate closely with engineering, data science, design, and field teams to deliver scalable, secure, and high-impact solutions.

What You'll Do

• Lead the design of custom models and pipelines for retrieval-augmented generation (RAG) workflows, with a focus on enterprise context and language.
• Integrate feedback loops into the platform to continuously improve AI performance and relevance.
• Ensure security, scalability, and accuracy are core to all AI/ML implementations.
• Define the extensibility layer of the platform, enabling customers to build and deploy custom workflows and applications using agents powered by the graph.
• Work closely with customers and partners to understand requirements and drive adoption of developer tools.
• Collaborate with design and field teams to create frictionless onboarding and ensure rapid time-to-value for all user personas.
• Conduct customer research to deeply understand workflows and enterprise-specific language.
• Develop a 3-5 year roadmap for the knowledge graph and AI platform, incorporating contingencies for scaling and evolving market needs.
• Create alignment across stakeholders, from engineering to executives, to execute.

Qualifications:

• 7+ years of SaaS and/or AI product management experience.
• Proven track record of shipping products that involve multimodal data, security, and scalability.
• Deep understanding of knowledge graph technologies, RAG pipelines, and enterprise AI workflows.
• Familiarity with indexing, retrieval, and ranking mechanisms for AI-driven platforms.
• Strong ability to write detailed product specifications, collaborate with engineering teams, and manage cross-functional stakeholders.
• Excellent communication skills, with the ability to articulate technical concepts to both technical and non-technical audiences.
• Hands-on approach to prototyping, testing, and iterating quickly based on user feedback.
• Highly strategic thinker with the ability to balance long-term vision with short-term execution.
• Customer-obsessed, with a focus on understanding user workflows and delivering time-to-value.

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