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Group Product Manager – Managed AI Services
| Company | Crusoe |
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| Location | San Francisco, CA, USA |
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| Salary | $240000 – $260000 |
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| Type | Full-Time |
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| Degrees | Bachelor’s |
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| Experience Level | Senior, Expert or higher |
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Requirements
- Bachelor’s degree in Computer Science, Data Science, or a related technical field.
- 8+ years of technical product management experience, or of product-minded engineering experience.
- Deep understanding of cloud computing architectures, platforms (AWS, Azure, GCP), and service models (IaaS, PaaS, SaaS).
- Proven track record of successfully building and launching innovative AI products or significant AI features within existing products.
- Highly proactive and self-directed with a demonstrated ability to define and drive new initiatives with minimal oversight.
- Strong analytical and problem-solving skills, with the ability to leverage data to inform strategic decisions and product prioritization.
- Exceptional written and verbal communication, presentation, and interpersonal skills, with a proven ability to influence and collaborate effectively across diverse technical and non-technical teams.
Responsibilities
- Understand and empathize with our customers and gather their feedback.
- Synthesize customer feedback and broader market analysis into concrete product features.
- Prioritize features within the roadmap for your product area.
- Collaborate with stakeholders including Infrastructure engineering, Cloud Software Engineering, SRE, finance, and the executive team to define detailed product specifications, execution timelines and economics.
- Distill complex technical details into executive facing narratives and decision docs.
- Create product documentation, support customers through various channels, and partner with marketing on defining product messaging.
Preferred Qualifications
- Hands-on experience with Generative AI technologies, including Large Language Models (LLMs) and multimodal models.
- Familiarity with the AI/ML infrastructure landscape, including training and inference platforms, data engineering pipelines (ETL/ELT), and related technologies.
- A passion for engaging with the developer community and a strong understanding of the latest trends and advancements in AI adoption.
