Forward Deployed Engineer | AI Implementation & Customer Success

Posted Yesterday
2 Locations
In-Office
95K-125K Annually
Mid level
Artificial Intelligence • Machine Learning • Software • Analytics
The Role
Hybrid technical/customer-facing role building and refining AI risk-assessment modules using LLMs, writing SQL, and creating Power BI dashboards. Lead client onboarding, translate safety programs into the platform, partner on scoping and SOWs, serve as primary technical contact, QA AI outputs, and drive product improvements from client feedback.
Summary Generated by Built In

Safety Radar is a venture-backed startup building AI-powered risk assessment technology for hazardous industries. Our SAFE AI platform helps organizations identify, assess, and mitigate safety risks using large language models and structured data analysis. We work with Fortune 500 companies and growing businesses across industries where getting safety wrong isn't an option. We're a small, fast-moving team where everyone wears multiple hats, and we're looking for someone who thrives in that environment.

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 ownTechnical 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.

Hiring Practices

Safety Radar is proud to be an equal-opportunity employer. We do not discriminate in hiring or any employment decisions based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or any other legally protected characteristic. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans during the application process. If you need assistance or an accommodation due to a disability, you may contact [email protected].

Skills Required

  • 3-5 years of experience in technical implementation, solutions engineering, forward-deployed engineering, or similar hybrid technical/client-facing role
  • Hands-on experience with large language models (prompt engineering, fine-tuning workflows, output evaluation)
  • Proficiency with SQL
  • Proficiency with Power BI or similar BI tools
  • Strong client communication skills; able to 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
  • Track record of reliability and meeting deadlines
  • Bachelor's degree in Computer Science, Engineering, Business, or a related field (or equivalent practical experience)
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The Company
5 Employees
Year Founded: 2022

What We Do

Safety Radar is a venture-backed startup building AI-powered risk assessment technology for hazardous industries. Its SAFE AI platform uses large language models and structured data analysis to help organizations identify, assess, and mitigate safety risks. The company serves Fortune 500 companies and growing businesses across industries where safety is critical, turning frontline reports into actionable insights that improve safety and keep operations moving.

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