About SecurityScorecard
SecurityScorecard is the global leader in cybersecurity ratings, with over 12 million companies continuously rated, operating in 64 countries. Founded in 2013 by security and risk experts Dr. Alex Yampolskiy and Sam Kassoumeh and funded by world-class investors, SecurityScorecard’s patented rating technology is used by over 25,000 organizations for self-monitoring, third-party risk management, board reporting, and cyber insurance underwriting; making all organizations more resilient by allowing them to easily find and fix cybersecurity risks across their digital footprint.
Headquartered in New York City, our culture has been recognized by Inc Magazine as a "Best Workplace,” by Crain’s NY as a "Best Places to Work in NYC," and as one of the 10 hottest SaaS startups in New York for two years in a row. Most recently, SecurityScorecard was named to Fast Company’s annual list of the World’s Most Innovative Companies for 2023 and to the Achievers 50 Most Engaged Workplaces in 2023 award recognizing “forward-thinking employers for their unwavering commitment to employee engagement.” SecurityScorecard is proud to be funded by world-class investors including Silver Lake Waterman, Moody’s, Sequoia Capital, GV and Riverwood Capital.
About the Role:
SecurityScorecard is hiring a Staff Forward Deployed Engineer to embed with our most strategic customers and turn raw security data into decisions executives act on. You'll deploy onsite, learn the customer's workflow, data, and decision logic firsthand, and build SecurityScorecard directly into how they already operate, closing gaps and creating new value instead of bolting on a generic integration.
We're an AI product company at our core, so our FDEs build AI-first: using LLMs and modern AI tooling by default, and applying real data science to help customers quantify risk in terms finance already trusts.
This role follows a hybrid work model based on proximity to our office locations. Employees who live within 75 miles of our Midtown NYC or Downtown Austin office are required to work onsite 1–2 days per week. Employees who live outside a 75-mile radius of both offices are eligible for fully remote work.
What You'll Do
- Deploy onsite with strategic customers to map their security, risk, and compliance workflows end to end, and find where value is leaking through manual effort or disconnected tools
- Gather requirements from practitioners and executives, and understand the dependencies across their people, process, and data before proposing a solution
- Weave SecurityScorecard into the customer's existing data, logic, and process, rather than forcing them to adapt to a generic integration
- Build AI-native solutions by default: apply LLMs, ML models, and modern AI tooling to automate analysis and cut manual toil
- Run data analysis and data science work on customer and platform data, for example translating letter-grade ratings into financial terms like Annualized Loss Expectancy (ALE), Value at Risk (VaR), and ROI
- Design and deploy integrations, pipelines, and tools connecting SecurityScorecard to customer systems (SIEM, GRC, ticketing, data warehouses, and more)
- Architect and deploy solutions across AWS, Azure, and GCP environments to match each customer's cloud footprint
- Prototype rapidly in the field, then harden solutions into supportable, production quality software
- Bridge Product, Engineering, and the customer, feeding field patterns back into the roadmap
- Own technical relationships with key accounts through renewal and expansion, alongside Customer Success and Sales Engineering
- Travel to customer sites for workshops, technical deep dives, and go-live support
Required Qualifications
- 6+ years of engineering or technical deployment experience that includes customer-facing work.
- Hands-on experience building with AI, using LLMs, agentic frameworks, or ML models as core building blocks in shipped solutions
- A track record building AI-powered products or features, and a clear point of view on how AI changes forward deployed work
- Working data analysis / data science ability: comfortable turning raw data into a model a customer can act on (risk quantification, benchmarking, exposure modeling)
- Proven ability to ship production code independently in fast-moving, ambiguous, customer-facing environments
- Strong full stack fluency: backend services, APIs, scripting, data pipelines, and integration patterns (REST, webhooks, SSO/SAML, SIEM connectors)
- Solid architecture design experience across AWS, Azure, and GCP, and comfort designing solutions that fit a customer's existing cloud environment
- Experience running discovery with enterprise stakeholders, from practitioners to executive sponsors, and scoping that into a technical solution
- Excellent communication skills, translating between technical detail and business or financial impact
- Bias toward action and comfort with ambiguity
- Prior experience in cybersecurity, GRC, or risk management is a strong plus
- Willingness to travel to customer sites (typically 30 to 40%, depending on account load)
Benefits
Specific to each country, we offer a competitive salary, stock options, Health benefits, and unlimited PTO, parental leave, tuition reimbursements, and much more!
Actual compensation for the position is based on a variety of factors, including, but not limited to affordability, skills, qualifications and experience, and may vary from the range. In addition to base salary, employees may also be eligible for annual performance-based incentive compensation awards and equity, among other company benefits.
- For candidates based in all other U.S. locations, the estimated total compensation range for this position is $200,000 - $240,000USD (base salary plus bonus).
- For candidates based in New York City or the San Francisco Bay Area, the estimated total compensation range for this position is
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