4 hours ago
Base Salary
$197k - $278k/yr
Responsibilities
- Build relationships with Oracle, Snowflake, and Databricks field leaders and technical teams and shape joint account plans.
- Lead technical discovery, architecture, prototyping, evaluation, and production-readiness work with account teams and partner sellers.
- Design and build reference implementations using OpenAI APIs and OCI, Snowflake Cortex AI, and Databricks capabilities.
- Validate model and feature availability, identity and network boundaries, data handling and residency, capacity, metering, support ownership, and commercial eligibility.
- Establish evaluation, observability, and deployment practices to measure quality, safety, reliability, latency, cost, and real-world usage.
- Create demos, workshops, reference architectures, and playbooks and hand off proven deployment patterns to partner and field teams.
- Work cross-functionally with Alliances, Sales, Product, Engineering, Billing Ops, and Enablement to resolve blockers and provide evidence-based product feedback.
Requirements
- Substantial experience leading technical engagements with enterprise engineering and business leaders across pre- and post-sales.
- Hands-on depth in at least one of OCI, Snowflake, or Databricks, with the ability to build credible architectures across the others.
- Experience integrating OpenAI products into production systems and understanding enterprise data governance.
- Ability to build in Python or a comparable language.
- Practical experience with APIs, retrieval, tool use, LLM evaluation, and secure cloud deployments.
- Ability to explain how workloads are purchased, accessed, served, metered, and supported without conflating those decisions.
- Ability to build trust across sales and engineering and measure success through customer adoption and partner self-sufficiency.
Tech Stack
Categories
Solutions Engineering
About OpenAI
OpenAI builds and deploys large-scale AI models and tools—including ChatGPT, GPT-4–class models, DALL·E, and Whisper—sold via APIs and enterprise subscriptions to developers and businesses. It monetizes through usage-based API pricing and ChatGPT Plus/Team/Enterprise, and also reaches customers via Microsoft’s Azure OpenAI Service. Founded in 2015 and headquartered in San Francisco, it operates as a private partnership.