PineconePosted 1w ago
Associate Field Engineer at Pinecone scores 65 out of 100 on AI centrality, which makes it AI Level 3 of 4 (Works on AI) on this board. The level measures how much of the work is AI, not seniority.
AI in this role
Support customers and drive adoption of Pinecone's AI knowledge platform through technical guidance and tooling.
About Pinecone:
Pinecone is the trusted AI knowledge company. Its trusted AI knowledge platform—including its Database, Nexus, and Marketplace products—power accurate, fast, and cost-effective AI applications for more than 10,000 customers and 1M developers worldwide. Pinecone's mission is to make AI knowledgeable. For more information, visit pinecone.io.
About the Team/Role:
This is intended to be an entry level role for new grads/early career professionals.
As an Associate Field Engineer, you'll work amongst our Customer Success and Solutions Engineering teams, building deep technical expertise and tooling to directly impact the core product and customer experience. You'll engage with technical stakeholders across the customer lifecycle, from helping prospects understand how Pinecone fits their architecture to guiding existing customers through implementation, optimization, and expansion. You'll collaborate closely with Sales, Product, and Engineering to scope solutions, troubleshoot complex issues, and surface customer insights that shape our product direction. Technical fluency, strong communication, intellectual curiosity, and an AI-first mindset are essential for this role.
Responsibilities:
Serve as a technical point of contact for customers across their journey from evaluation to production, ensuring best practices and accelerating time-to-value.
Deeply understand customer architectures, use cases, and requirements to influence our roadmap and devise solutions that unblock and advance their goals.
Build resources to monitor customer health, proactively identifying opportunities to address risk and drive expansion.
Troubleshoot issues and deliver high-quality technical support, developing a strong command of Pinecone's product 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, deliver product demonstrations, and contribute to proof-of-concept evaluations.
Provide feedback and contribute as a developer to all elements of the customer experience—from tooling and integrations to documentation and internal workflows.
Requirements:
BS in Computer Science or a related technical field or equivalent experience.
Strong technical acumen with the ability to understand and explain APIs, cloud infrastructure, data pipelines, and enterprise software integrations.
Ability to communicate complex technical concepts to both technical and non-technical audiences.
Familiarity with the concepts of embeddings, similarity search, recommendation systems, and RAG.
Thrives in a startup environment: resourceful, adaptable, and proactive in creating solutions.
Proficiency in one or more popular programming languages (Python, JavaScript).
Bonus Points:
Experience with Datadog or similar monitoring tools.
Experience working with cloud platforms (AWS, GCP, Azure).
Perks & Benefits:
Comprehensive health coverage including medical, dental, vision, and mental health resources
401(k) Plan
Equity award
Flexible time off
Paid parental leave
Annual Company Retreat
WFH Equipment Stipend
All qualified applicants will receive considerations for employment without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status under federal, state, or local anti-discrimination laws.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- How would you design a retrieval step so the model answers from real data instead of guessing?
- Tell me about a project where customer success was part of your work. What did you do?
- Tell me about a project where solutions engineering was part of your work. What did you do?
- Tell me about a project where vector database was part of your work. What did you do?
- Tell me about a project where technical support was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Rag, Customer Success, Solutions Engineering, Vector Database, and Technical Support. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.
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