Forward Deployed Engineer - AI Implementation & Customer Success

Safety Radar Inc.; Denver (CO); Hybrid; USD 95,000 - 125,000; Full time

Benefits offered by this job

Flexible/hybrid work schedule

Health and dental insurance

Stock options

Direct exposure to Fortune 500 clients

Job summary

Safety Radar Inc. seeks a Forward Deployed Engineer who blends technical implementation with client partnership. You will build AI risk modules on the SAFE AI platform and translate safety programs into the client’s use case to deliver real results.

You’ll lead onboarding, work with sales on discovery and SOWs, and serve as the technical point of contact post-implementation, ensuring reliable outcomes with Fortune 500 clients.

Qualifications

• 3–5 years in technical implementation or similar hybrid role.
• Hands-on with large language models and prompt engineering.
• Proficiency with SQL and Power BI; capable of translating client needs into tech specs.

Responsibilities

• Build, configure, and refine AI risk modules on SAFE AI platform.
• Work with LLMs to tailor models to client safety methodologies.
• Write SQL queries for data extraction, transformation, and reporting.
• Create dashboards and visual reports in Power BI for clients and stakeholders.
• QA/QC AI outputs to ensure accuracy and compliance with standards.
• Onboard clients: review safety docs, map programs to platform capabilities, and lead onboarding.
• Partner with sales on scoping, SOWs, and technical discovery.

Skills

Technical implementation

Solutions engineering

Forward-deployed engineering

SQL

Power BI

Client communication

Education

Bachelor's degree

Tools

SQL

Power BI

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.

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 [e-mail].

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.