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nlp large language models anomaly detection ml infrastructure retrieval-augmented generationπ Description
- Lead multiple teams of engineers and scientists on AI-powered features.
- Set technical vision and strategy for your area with Product.
- Ship AI products end-to-end: data pipelines, training, deployment.
- Coach and develop senior engineers and managers; foster high performance.
- Drive collaboration across Applied AI, product, and partner teams.
- Own ops for reliability, on-call, incidents, and quality.
π― Requirements
- Experienced leader in AI, ML, or data science.
- Proven track record shipping ML/AI products in production.
- Experience mentoring multiple teams of engineers and managers.
- Deep expertise in LLMs, agentic systems, or ML infrastructure.
- Able to partner with Product to set vision and plan.
- Strong people manager to attract and retain AI talent.
- BS/MS/PhD in ML, CS, Eng, or related field, or equivalent.
π Benefits
- RSUs and employee stock purchase plan (ESPP).
- Continuous development, product training, and career pathing.
- Inclusive culture with Community Guilds.
- Free Spring Health benefits for employees and dependents.
- Competitive global benefits.
- Giving programs.
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