Senior Solutions Architect

🔥 0 minutes ago

🗽 New York – Remote

🗽 New York – Remote

💵 $159.4k - $255k / year

⏰ Full Time

🟠 Senior

💻 Solutions Engineer

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Airbyte

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2020

☁️ SaaS

🤝 B2B

🤖 Artificial Intelligence

💰 $150M Series B - Airbyte on 2021-12

SaaS • B2B • Artificial Intelligence

Airbyte is an open-source data integration platform that provides ETL/ELT, data replication, and connector infrastructure for moving and activating data across databases, warehouses, lakes, and applications. It offers both a developer-friendly open-source core and commercial SaaS/enterprise offerings with connectors, an Agent Engine to power AI agents and real-time workflows, and features for security, governance, and high-throughput pipeline management. Airbyte is used by data teams to build, operate, and scale data pipelines and to feed analytics, BI, machine learning, and GenAI systems.

📋 Description

• Lead and execute customer technical projects, including implementation and deployment of Airbyte solutions • Guide customers throughout their customer journey with technical expertise and hands-on support • Advise customers on integrating LLM-based tooling into existing data infrastructure alongside Airbyte connectors • Work directly with clients’ technical teams to understand needs and tailor solutions • Manage technical success by collaborating with Technical Support, Product, and Engineering teams • Help clients evaluate and adopt AI agent frameworks to build autonomous data agents using Airbyte as a data source • Collaborate with Sales to identify and drive customer growth opportunities • Act as the internal source of truth for customer technical requirements, expectations, and needed functionalities • Partner with Product and Engineering teams to surface customer needs and influence the roadmap • Demonstrate Airbyte’s offering and best practices to clients and at industry events • Serve as a brand ambassador and foster relationships with key stakeholders • Evangelize best practices for building AI-ready data stacks • Create and deliver technical content including blog posts, demos, and conference talks

🎯 Requirements

• 6+ years of experience in a customer-facing technical role such as resident solutions architect, professional services engineer, or consulting role • 2+ years of experience in a startup environment, ideally in modern data infrastructure • Experience with cloud applications, databases, ELT tools, data warehouses, or related fields • Hands-on experience with one or more AI frameworks • Exposure to AI agent frameworks and prompt engineering best practices is a strong plus • Proven track record supporting products that directly impact business productivity • Exceptional customer orientation focused on seamless onboarding and ongoing technical success • Strong interpersonal and presentation skills • Deep Kubernetes expertise, including production troubleshooting of workloads, pods, networking, storage, and resource management • Deep understanding of SQL, CDC, database replication, and data synchronization concepts • Strong knowledge of REST APIs, HTTP methods, OAuth, API keys, JWT, webhooks, and JSON • Ability to support East Coast Timezone • Ability to legally work in the U.S. or disclose sponsorship requirements

🏖️ Benefits

• Flexible PTO with a culture that encourages at least 25 days off annually • 16 weeks fully paid parental leave for all parents • Comprehensive medical, dental, and vision coverage for employees and dependents • 401(k) retirement plan • Professional development budget, conference sponsorship, and book reimbursement • Commuter benefits and monthly internet reimbursement • Breakfast and lunch in our San Francisco office • Collaborative, in-person culture focused on learning, growth, and impact • Equity • Commission