
Senior Forward Deployed Engineer
Posted Sep 9

Posted Sep 9
This is a fully remote position, open to applicants in United States.
• Collaborate closely with key customers to transform raw security data into strategic executive insights.
• Work onsite with clients to outline security, risk, and compliance workflows.
• Collect requirements from both practitioners and executives.
• Seamlessly integrate SecurityScorecard into clients' established data, logic, and processes.
• Develop AI-driven solutions utilizing LLMs, ML models, and contemporary AI tools.
• Conduct data analysis and data science on both customer and platform data.
• Convert security ratings into financial metrics such as ALE, VaR, and ROI.
• Design and implement integrations, pipelines, and tools that connect to SIEM, GRC, ticketing, and data warehouse systems.
• Architect and deploy solutions across AWS, Azure, and GCP platforms.
• Rapidly prototype and refine solutions into reliable, supportable production software.
• Serve as a liaison between Product, Engineering, and customers, incorporating field patterns into the development roadmap.
• Manage technical relationships with key accounts throughout the renewal and expansion phases.
• Travel to client locations for workshops, technical deep dives, and go-live support.
• Over 8 years of software engineering experience, particularly in customer-facing, forward-deployed, or solutions engineering roles.
• Practical experience in building AI solutions, utilizing LLMs, agentic frameworks, or ML models as foundational elements in delivered products.
• Proven track record in developing AI-enhanced products or features.
• Proficient in data analysis and data science, including risk quantification, benchmarking, and exposure modeling.
• Capacity to independently deliver production code in dynamic, ambiguous, customer-facing settings.
• Comprehensive full stack proficiency, including backend services, APIs, scripting, data pipelines, and integration techniques such as REST, webhooks, SSO/SAML, and SIEM connectors.
• Experience in architectural design across AWS, Azure, and GCP.
• Familiarity with conducting discovery sessions with enterprise stakeholders and defining technical solutions.
• Strong communication skills.
• Proactive mindset and ability to thrive in uncertain environments.
• Previous experience in cybersecurity, GRC, or risk management is highly advantageous.
• Willingness to travel to client sites, generally between 20% to 40% of the time.
• This position does not offer immigration sponsorship.
• Competitive salary.
• Stock options.
• Comprehensive health benefits.
• Unlimited paid time off (PTO).
• Parental leave.
• Tuition reimbursement programs.
• Annual performance-based incentive compensation awards.
• Equity opportunities.
• Reasonable accommodations for qualified individuals with disabilities.
Mercor
RTX
Expel
Qualus
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