Forward Deployed Engineer | AI Implementation & Customer Success

Safety Radar

$95K — $125K *
Technical Services
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 3-5 years in technical implementation or solutions engineering roles
  • Hands-on experience with large language models
  • Proficient in SQL and Power BI or similar BI tools
  • Strong client communication skills
  • Ability to manage multiple projects with competing deadlines
  • Reliable with a proven track record of following through on commitments
  • Bachelor's degree in Computer Science, Engineering, Business, or related field

Responsibilities

  • Build and refine AI risk assessment modules using the SAFE AI platform
  • Develop AI models with large language models tailored to client needs
  • Write SQL queries for data extraction and reporting
  • Create dashboards and visual reports in Power BI
  • Lead client onboarding and map safety programs to platform capabilities
  • Serve as the primary technical contact for post-implementation accounts
  • Translate client feedback into platform and AI development improvements

Benefits

  • Flexible/hybrid work schedule
  • Health and dental insurance, paid vacation, and stock options
  • Direct exposure to Fortune 500 clients
  • Opportunity to shape the application of AI in real-world risk management
Full Job Description
The Role

This is not a traditional customer success role. We're looking for a Forward Deployed Engineer (FDE), someone who sits at the intersection of technical implementation and client partnership. You'll spend roughly half your time building and refining AI risk assessment modules, and the other half working directly with customers to understand their safety programs, translate them into our platform, and ensure the technology delivers real results.

The right person for this role is technically sharp, genuinely curious about how industries manage risk, and energized (not drained) by direct client interaction. You take ownership of outcomes, not just tasks. You meet deadlines because you understand that a client's safety program doesn't wait, and neither should you.

What you'll own
Technical Implementation
  • Build, configure, and refine AI risk assessment modules using Safety Radar's SAFE AI platform
  • Work with large language models (Claude, GPT, Gemini) to develop and improve AI models tailored to client-specific safety methodologies
  • Write SQL queries for data extraction, transformation, and reporting
  • Build dashboards and visual reports in Power BI to surface insights for clients and internal stakeholders
  • QA/QC AI outputs to ensure accuracy, consistency, and alignment with industry standards


Customer Engagement
  • Partner with the sales team on scoping, Statements of Work, and technical discovery during the sales process
  • Lead client onboarding: review safety documentation, research industry-specific regulations, and map client programs to platform capabilities
  • Serve as the primary technical point of contact for assigned accounts post-implementation
  • Translate client feedback into platform improvements. You're the voice of the customer in product conversations. You help design, scope and build new AI development.
  • Maintain regular communication cadences with clients, proactively identifying risks and opportunities


What we're looking for
  • 3-5 years of experience in technical implementation, solutions engineering, forward-deployed engineering, or a similar hybrid technical/client-facing role
  • Hands-on experience with large language models (prompt engineering, fine-tuning workflows, output evaluation)
  • Proficiency with SQL and Power BI (or similar BI tools)
  • Strong client communication skills. You can explain technical concepts to non-technical stakeholders and translate business requirements into technical specifications.
  • Demonstrated ability to manage multiple concurrent client projects with competing deadlines
  • A track record of reliability: you do what you say you're going to do, when you say you're going to do it
  • Bachelor's degree in Computer Science, Engineering, Business, or a related field (or equivalent practical experience)


Compensation & Benefits
  • $95,000-$125,000 annual base salary, dependent on experience
  • Flexible/hybrid work schedule
  • Health and dental insurance, paid vacation, and stock options
  • Direct exposure to Fortune 500 clients and high-impact safety challenges
  • The rare opportunity to shape how AI is applied to real-world risk, not just another chatbot


Disclaimer

This job posting is not intended to provide a comprehensive list of activities, duties, or responsibilities required for this role. Safety Radar reserves the right to modify or assign additional duties, responsibilities, and activities at any time with or without notice.

The pay range for this role is:

95,000 - 125,000 USD per year (All)

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