Safety Radar Logo

Safety Radar

Forward Deployed Engineer | AI Implementation & Customer Success

Posted One Month Ago
In-Office
Tulsa, OK
95K-125K Annually
Mid level
In-Office
Tulsa, OK
95K-125K Annually
Mid level
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.
The summary above was generated by AI

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].

Similar Jobs

22 Minutes Ago
Remote or Hybrid
USA
86K-144K Annually
Mid level
86K-144K Annually
Mid level
Machine Learning • Payments • Security • Software • Financial Services
Designs, builds, integrates, configures, and maintains technology solutions within PNC’s Site Reliability Engineering Center. Develops software and hardware for emerging technology projects, analyzes client requirements, resolves functional issues, advises junior staff, and ensures deliverable quality and compliance with standards. The role requires a bachelor’s degree and at least three years of relevant experience.
Top Skills: JavaScriptVersion Control
2 Hours Ago
Remote or Hybrid
United States
73K-98K Annually
Mid level
73K-98K Annually
Mid level
Cloud • Fintech • Software • Business Intelligence • Consulting • Financial Services
Analyzes and documents ERP business and technical requirements, develops Workday financial and operational reports and dashboards, improves processes, validates data accuracy, supports system implementations and upgrades, and partners with finance, IT, product owners, and vendors on Workday solutions and lifecycle management.
Top Skills: Power BIQlikTableauWorkday Advanced ReportsWorkday Composite ReportsWorkday DashboardsWorkday ErpWorkday HcmWorkday Matrix ReportsWorkday PrismWorkday Report WriterWorkday Worksheets
6 Hours Ago
Remote or Hybrid
United States
93K-115K Annually
Senior level
93K-115K Annually
Senior level
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Leads the design, governance, implementation, and continuous improvement of marketing review processes. Coordinates Marketing, Legal, Compliance, technology, vendors, and audit stakeholders; oversees workflow tools, controls, documentation, reporting, training, access management, and issue resolution. Improves transparency, audit readiness, user experience, regulatory adherence, and speed to market for marketing content approvals.
Top Skills: Adobe WorkfrontAi ToolsMicrosoft 365Microsoft TeamsRedoakSharepointWorkflow Platforms

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account