Associate Field Engineer
Entry-level field engineer supporting customers from technical evaluation through production. The role combines solution discovery, troubleshooting, demos, integrations, and customer tooling, requiring a technical degree or equivalent experience and proficiency in Python or JavaScript.
About the job
Responsibilities
- Serve as a technical point of contact for customers from evaluation through production, applying best practices and accelerating time-to-value.
- Understand customer architectures, use cases, and requirements to influence the roadmap and devise solutions.
- Build resources to monitor customer health, identify risks, and drive expansion.
- Troubleshoot issues and provide high-quality technical support across Pinecone and the broader AI/ML ecosystem.
- Build processes and capture knowledge to scale and automate support, success, and outreach initiatives.
- Partner with Sales on technical discovery, product demonstrations, and proof-of-concept evaluations.
- Contribute as a developer to tooling, integrations, documentation, and internal workflows.
Requirements
- Bachelor's degree in Computer Science or a related technical field, or equivalent experience.
- Strong technical acumen with APIs, cloud infrastructure, data pipelines, and enterprise software integrations.
- Ability to explain complex technical concepts to technical and non-technical audiences.
- Familiarity with embeddings, similarity search, recommendation systems, and retrieval-augmented generation (RAG).
- Resourceful, adaptable, and proactive in a startup environment.
- Proficiency in Python or JavaScript.
Nice to Have
- Experience with Datadog or similar monitoring tools.
- Experience with AWS, Google Cloud, or Azure.
Compensation and Benefits
- Salary: $90,000–$105,000 annually.
- Comprehensive medical, dental, vision, and mental health coverage.
- 401(k) plan.
- Equity award.
- Flexible time off.
- Paid parental leave.
- Annual company retreat.
- Work-from-home equipment stipend.
Skills
Python, JavaScript, APIs, Cloud Infrastructure, Data Pipelines, Enterprise Integrations, Embeddings, Similarity Search, Recommendation Systems, Retrieval-Augmented Generation, Datadog, AWS, GCP, Azure
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