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python ai mlops data pipelines llmops📋 Description
- Own strategic account plans for adoption, usage, and revenue growth.
- Partner with internal teams to design production-grade AI workflows.
- Own outcomes; guide onboarding, integration, and issue resolution.
- Translate customer challenges into actionable product feedback.
- Track health and engage with technical and executive stakeholders.
- Drive renewals and growth; identify upsell or cross-sell opportunities.
🎯 Requirements
- 5+ years in a technical role (Solutions Engineer, TAM, SA, ML/DS Eng) in B2B.
- Experience with enterprise engineering/product teams; lead architecture discussions.
- Design and architecture understanding of data processing, model training, serving or monitoring.
- MLOps/LLMOps, ML pipelines, and data orchestration experience.
- Proficiency in Python, or strong willingness to learn.
- Account plans for growth via adoption, usage expansion, and revenue.
🎁 Benefits
- Excellent medical: 100% premiums for you and 90% for dependents.
- Generous dental and vision plans.
- Meaningful equity; options for all employees.
- Unlimited time off plus 12 company holidays.
- 401K match: 100% up to 3%, then 50% up to 5%.
- 16 weeks paid parental leave for primary and secondary caregivers.
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