Director, Data – AI/ML
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Job Description
Director of Data and AI/ML responsible for the Stratus Intelligence Platform and leading the Intelligence team. Focus on delivering AI workloads, platform capabilities, and team development.
Responsibilities:
- Owns the Stratus Intelligence Platform: the data, machine learning, and reasoning capabilities that make compounding intelligence real.
- Accountable for delivering in the AI roadmap, ensuring that AI workloads scale on the platform, and the ML lifecycle that trains and serves models.
- Set the Intelligence strategy in close partnership with the CTO, build the team that delivers it, and stay close enough to the technical work to make hard architectural calls when they arise.
- Stand up the canonical data layer, the ML platform, and the learning and reasoning capabilities.
- Hire and develop a high-leverage Intelligence team (Data, AI/ML, AVE).
- Set the bar for craft and shape the operating cadence.
- Stand up the trust patterns needed to ship AI workloads to customers with confidence: evaluation frameworks, observability for AI, drift detection, confidence scoring.
Requirements:
- 10+ years of professional experience in AI/ML, data engineering, or data science, with 4+ years in formal leadership roles (Senior Manager, Director, or Head of) at a B2B SaaS or AI/ML platform company.
- Demonstrated track record of building and leading AI/ML, data engineering, or data science teams of 5-15 people from a small base.
- Deep technical credibility across the modern AI/ML stack: data platforms (Postgres, pgvector, MongoDB or equivalent), ML platforms (training, serving, MLOps), and generative AI (LLMs, embeddings, RAG, fine-tuning).
- Experience shipping production ML and AI workloads to enterprise customers with the trust patterns (evals, observability, drift, confidence) that come with it.
- Hands-on player-coach posture.
- Comfortable reviewing technical designs, joining architecture debates, and writing reference implementations when the work warrants it.
- Strong hiring track record.
- Excellent written and verbal communication.
- Strong cross-functional partnership instincts.
- Experience with multi-tenant data architecture and the operational realities of serving ML and AI workloads to enterprise customers.
Benefits:
- Comprehensive and competitive health benefits plan
- Matching 401k contributions
- 20 days annual PTO
- Primarily remote work with occasional annual team onsites.
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