{"id":772299,"url":"https://alion.io/job/pinecone-associate-field-engineer","title":"Associate Field Engineer","company":{"id":41384,"name":"Pinecone","domain":"pinecone.io","url":"https://alion.io/company/pinecone-io","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"Solutions","role_family":"Solutions","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":90000,"max":105000,"currency":"USD","period":"year","gross":null,"usd_annual":105000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Embeddings","optional":false},{"name":"JavaScript","optional":false},{"name":"Pinecone","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Recommender Systems","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"Datadog","optional":true},{"name":"GCP","optional":true}],"status":"live","first_seen_at":"2026-09-11T20:52:20Z","employer_posted_date":"2026-09-11","last_verified_at":"2026-11-02T23:27:41Z","board_verified":true,"closed_at":null,"days_open":52,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":52},"description":"About Pinecone:\nPinecone 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, visitpinecone.io.\nAbout the Team/Role:\nThis is intended to be an entry level role for new grads/early career professionals.\nAs 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.\nResponsibilities:\nServe as a technical point of contact for customers across their journey from evaluation to production, ensuring best practices and accelerating time-to-value.\n\nDeeply understand customer architectures, use cases, and requirements to influence our roadmap and devise solutions that unblock and advance their goals.\n\nBuild resources to monitor customer health, proactively identifying opportunities to address risk and drive expansion.\n\nTroubleshoot issues and deliver high-quality technical support, developing a strong command of Pinecone's product and the broader AI/ML ecosystem.\n\nBuild processes and capture knowledge to scale and automate support, success, and outreach initiatives.\n\nPartner with Sales on technical discovery, deliver product demonstrations, and contribute to proof-of-concept evaluations.\n\nProvide feedback and contribute as a developer to all elements of the customer experience-from tooling and integrations to documentation and internal workflows.\n\nRequirements:\nBS in Computer Science or a related technical field or equivalent experience.\n\nStrong technical acumen with the ability to understand and explain APIs, cloud infrastructure, data pipelines, and enterprise software integrations.\n\nAbility to communicate complex technical concepts to both technical and non-technical audiences.\n\nFamiliarity with the concepts of embeddings, similarity search, recommendation systems, and RAG.\n\nThrives in a startup environment: resourceful, adaptable, and proactive in creating solutions.\n\nProficiency in one or more popular programming languages (Python, JavaScript).\n\nBonus Points:\nExperience with Datadog or similar monitoring tools.\n\nExperience working with cloud platforms (AWS, GCP, Azure).\n\nPerks & Benefits:\nComprehensive health coverage including medical, dental, vision, and mental health 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