Solutions Engineer (Micro Business & AI Startups) - San Francisco / NYC

About the role

This role blends solutions engineering, AI advisory, onboarding and scaled enablement in a way that is highly relevant to Bright Data’s startup and micro business motion. It is a strong fit for someone who enjoys solving customer problems directly while also building reusable systems, content and technical assets that support a more product-led experience.

Responsibilities

• Partner with AI startup accounts and run insight-led discovery to understand their product, model strategy, data needs and likely future requirements.
• Act as a technical advisor by mapping use cases across LLMs, RAG, agent workflows and data pipelines to Bright Data solutions.
• Nurture accounts technically over time by anticipating onboarding gaps, configuration needs, expansion triggers and new use cases before the customer asks.
• Lead technical workshops, webinars, perform code reviews, troubleshoot integrations and build sample implementations, scripts and reference architectures in Python and/or JavaScript.
• Support customers using MCP, agent skills, hooks and modern agent frameworks and provide technical guidance on how to integrate with Bright Data solutions.
• Lead onboarding and configuration activities including authentication, setup, workflow design and faster time-to-first-value for both technical and non-technical customers.
• Create technical documentation, implementation guides, troubleshooting runbooks and short video tutorials that promote self-service adoption.
• Partner with Sales, Product, Engineering and Field Marketing to convert customer needs into repeatable solutions and expansion opportunities.

Requirements

• 3+ years in a customer-facing technical role such as Solutions Engineer, Solutions Architect, Implementation Engineer, Developer Advocate or Technical CSM.
• Strong AI fluency, including practical understanding of LLMs, RAG, model behavior, VLMs, VLAs and agentic AI workflows.
• Ability to read, write and review production-quality Python and/or JavaScript code for APIs, automations and data workflows.
• Hands-on experience with MCP, agent skills, tool calling and familiarity with at least one agent frameworks such as LangGraph, CrewAI, AutoGen, or similar systems.
• Experience onboarding customers and translating technical concepts into clear, practical guidance for both technical and non-technical users.
• Proven ability to produce strong written documentation and video-based enablement content that drives self-service adoption.
• Strong ownership, startup comfort and the ability to balance direct customer support with building scalable assets for future customers.