Forward Deployed Engineer, AI Systems
Santa Clara · USD 180,000-270,000 / year · Onsite · Posted Sep 29, 2026
At a glance
- Workplace
- Onsite
- Location
- Santa Clara
- Salary
- USD 180,000-270,000 / year · Base salary
About the role
- As a Forward Deployed Engineer on the Systems Product Management team, you will build the intelligence layer behind Everpure's FlashArray and FlashBlade roadmap decisions.
- Working directly with product managers across the portfolio, you will translate complex, cross-system questions into engineering solutions by leveraging applied AI and fleet-scale data engineering.
- You will build production systems that directly shape the hardware shipped by the company.
Responsibilities
- Own Engagements End-to-End: Partner directly with product managers to scope ambiguous business questions and carry them from discovery through to a solution running in production.
- Design and Build the Platform: Deliver end-to-end capabilities, spanning data and orchestration layers through to the interfaces product managers actively use.
- Build for Trust: Maintain high engineering standards so product managers can confidently stake critical roadmap decisions on system output.
- Turn One-Offs into Capability: Convert bespoke, hard-won analyses into durable platform capabilities that continuously expand self-service intelligence.
- Strengthen the Data Foundation: Identify gaps where existing data cannot answer strategic questions, partnering with data owners across the organization to close them.
Requirements
- Production Engineering Craft: Strong, hands-on Python experience designing, building, and operating software in production—including HTTP APIs, relational schema design and migrations, containerized cloud deployments, version control, CI/CD, testing discipline, and frontend capability to build usable interfaces.
- Data Judgment at Scale: Advanced SQL proficiency with large analytical datasets (e.g., Snowflake) and the business acumen to evaluate data integrity, understanding which strategic questions data can accurately answer.
- Applied AI Experience: Proven experience shipping LLM-backed or agentic systems to real users, combined with rigorous evaluation practices that maintain system integrity as it evolves.
- Communication and Influence: Ability to collaborate with non-technical stakeholders to define tractable engineering problems, exercise technical judgment, and communicate system readiness with credibility.
Benefits
- Incentive pay and/or equity
- Flexible time off
- Wellness resources
- Company-sponsored team events
Workplace
- Primarily an in-office environment
- Expected to work from the Santa Clara, CA office in compliance with Everpure's policies
- Exceptions apply for PTO, work travel, or other approved leave
Skills
- Python
- HTTP APIs
- Relational Schema Design
- Containerized Cloud Deployments
- Version Control
- CI/CD
- SQL
- Snowflake
- Agentic Systems