Solutions Engineer (Micro Business & AI Startups)

HybridSalary not specified
United States

Tech Stack

PythonAIJavaScript

Job Description, Responsibilities & Requirements

About the Position

Bright Data is hiring a Solutions Engineer to support our micro business and AI startup segment. This role combines technical discovery, onboarding, code-level solutioning, and self-service content creation. You will work closely with AI-native startups in our startup program while also helping smaller customers get set up quickly, adopt successfully, and grow over time.

Why join Bright Data

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.

This is a hybrid position based in San Francisco or New York City

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 framework 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.

We Offer

  • Opportunity to work in a hybrid role in San Francisco or New York City.
  • Be part of a dynamic team that supports micro businesses and AI startups.
  • Competitive compensation package.

About the Company

Bright Data is a leading provider of web data collection and web scraping services, empowering businesses to leverage data for innovation and growth.

Job Details

Company name:
Bright data
Location:
United States
Work Mode:
Hybrid
Posted on TheJob:
Jul 4, 2026
Last checked:
Jul 4, 2026
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