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Browser Automation Jobs (NOW HIRING)

Bluevine - US

Senior AI Solutions Engineer

Jersey City, NJ · On-site

$57.75 - $74.25/hr

Experience with APIs, browser automation, workflow tooling, and systems integration. NICE TO HAVE: * Experience building Chrome extensions or browser-based automation tools. * Experience supporting ...

Guidewire Software

Proven expertise in REST API test automation using frameworks such as Karate or Cucumber, plus experience with browser automation tools like Selenium WebDriver, Playwright, or TestCafe. * Hands-on ...

Nayax

SQA Automation Team Lead

Folsom, CA · On-site

Support cross-browser testing, parallel execution, and environment configuration. * Partner with Development, Product, and Support to investigate defects and validate fixes. * Communicate automation ...

Apex Informatics

Software Engineer II

... browser automation, and network request logging * 2+ years of Cloud Experience; preferably with Amazon Web Services (AWS) API gateways, lambda functions, DynamoDB, Secret Store, and ECS * 2+ year of ...

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Browser Automation information

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$37.5K

$45.6K

$71K

How much do browser automation jobs pay per year?

As of Sep 9, 2026, the average yearly pay for browser automation in the United States is $45,556.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,000.00 and $42,000.00 per year, depending on experience, location, and employer.

What other helpful pages are available for Browser Automation?

Other pages related to Browser Automation:

Member of Technical Staff (Founding)

Manhattan, NY • On-site

NxT Level
See more jobs at NxT Levelexternal

Full-time

Re-posted 2 days ago

Job description

Forward Deployed Engineer

Location: New York City

Employment Type: Full-time

Focus: Applied AI, AEC Software, Civil/Structural/MEP Engineering, Customer Deployment

About Our Client

Our client is building applied AI technology for the architecture, engineering, and construction ecosystem.

Their mission is to transform how the built environment is designed and constructed by giving civil, structural, and MEP engineering teams modern AI tools to solve complex infrastructure, energy, and climate challenges.

About the Role

Our client is hiring a Forward Deployed Engineer to sit at the intersection of engineering, product, customer deployment, and applied AI.

This person will work directly with civil, structural, and MEP engineering firms to understand how they operate, identify high-leverage workflows, and build tools that create immediate value.

This is not a traditional ticket-based engineering role. You'll embed with customers, earn trust with technical users, ship fast, debug in production, and bring what you learn back into the core product.

The right person is highly technical, customer-facing, curious, low-ego, and willing to do whatever it takes to make deployments successful.

What You'll Do

  • Embed directly with engineering firms to understand their workflows, pain points, and opportunities for AI leverage
  • Work alongside civil, structural, and MEP engineers to identify the highest-impact problems to solve
  • Own deployments end-to-end, from discovery and build through launch, debugging, iteration, and adoption
  • Build fast, practical, customer-specific tools when needed
  • Translate customer learnings into scalable product and platform opportunities
  • Integrate with legacy AEC and Windows-native engineering software
  • Build scrapers, automation workflows, integrations, prototypes, and internal tools to test ideas quickly
  • Partner directly with the CTO on technical direction, product decisions, and engineering culture
  • Help turn field deployments into repeatable product leverage across future customers
  • Travel when needed to support customer deployments and build strong relationships

What We're Looking For

  • Strong software engineering fundamentals with the ability to build practical products quickly
  • Deep curiosity about how organizations, workflows, markets, and users actually operate
  • Strong communication skills and the ability to build trust with non-software engineering teams
  • Comfort working directly with users in the field, often in ambiguous or messy environments
  • Ability to turn noisy, conflicting feedback into clear product and technical priorities
  • High agency, low ego, and willingness to do whatever is needed to unblock a deployment
  • Interest or experience in LLMs, agent frameworks, RAG, browser automation, document parsing, or workflow automation
  • Ability to own outcomes, not just tasks
  • Excitement about building in a zero-to-one startup environment

Technical Environment

Relevant technologies include:

  • Next.js
  • Vercel
  • Tailwind CSS
  • Kotlin
  • Python
  • LLMs
  • Agent frameworks
  • RAG
  • Browser automation
  • Document parsing
  • Legacy AEC software integrations