Principal Product Manager, AI Factory
Domino Data Lab
full-time
Posted on:
Location Type: Remote
Location: United States
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Salary
💰 $250,000 - $300,000 per year
Job Level
About the role
- own the set of product capabilities that streamline the model development lifecycle: developing, training, deploying, and monitoring models and AI systems
- Advancing our novel Governance feature set to integrate model validation/review into the model development lifecycle. Drive breakthrough innovations (e.g., automated model documentation) as well as modern implementations of longstanding industry requirements (e.g., attestation, periodic revalidation).
- Lead the development of the next generation of MLOps capabilities, ensuring that Domino continues to offer cutting-edge solutions for the AI lifecycle
- Evolve our platform to better support Generative AI models and advanced AI systems
- Expand and enhance our MLOps capabilities, enabling customers to streamline their AI workflows
- Increase integration and coherence across our platform, accelerating the time it takes for AI projects to move from inception to production
Requirements
- 5+ years of product management experience, delivering enterprise software tailored to data scientists or similar personas (ML/AI engineers, quantitative researchers, etc.)
- Deeply plugged into the AI/ML ecosystem, with a passion for engaging the broader community. You’re comfortable speaking at conferences, contributing to discussions, and have a clear point of view on the future of AI and data science
- Strategic thinker with commercial acumen: You excel at crafting product strategies that align with both customer needs and broader market trends, always with a focus on driving business growth
- Expertise in DS/AI workflows and ecosystems, with a comprehensive understanding of the tools, platforms, and methodologies that power modern machine learning and AI
- High standards for product quality: You have a strong sense of taste and are discerning when it comes to design and user experience, ensuring that everything we ship is of exceptional quality
- Strong technical proficiency: With a background in computer science or a related field, you’re comfortable working closely with engineers, brainstorming approaches, and discussing technical trade-offs
- Enterprise customer intuition: You bring strong communication skills and practical judgment when engaging with enterprise clients, having collaborated on enterprise sales and customer interactions in the past
- Nice to have: Experience in the financial services industry.
Benefits
- equity
- company bonus or sales commissions/bonuses
- 401(k) plan
- medical, dental, and vision benefits
- wellness stipends
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
MLOpsmodel development lifecyclemodel validationautomated model documentationGenerative AIAI systemsdata science workflowsmachine learning methodologiesproduct managemententerprise software
Soft skills
strategic thinkingcommercial acumencommunication skillscustomer engagementcollaborationdesign senseuser experience focuscommunity engagementpublic speakingpractical judgment