Senior Forward Deployed Engineer

🔥 13 hours ago

🇨🇦 Canada – Remote

💵 $175k - $240k / year

⏰ Full Time

🟠 Senior

👷🏻‍♀️ Engineer

👻 Ghost score 0%

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SecurityScorecard

501 - 1000 employees

Founded 2013

💼 Consulting

🏥 Healthcare

🛡️ Insurance

💰 $180M Series E on 2021-03

Consulting • Healthcare • Insurance

SecurityScorecard is a company that focuses on cybersecurity and risk management. It provides solutions for supply chain detection and response, third-party cyber risk management, and external attack surface management. By leveraging AI and security ratings, SecurityScorecard helps organizations improve their cybersecurity postures and manage risks effectively. The company's platform allows for monitoring and remediation of vulnerabilities, collaboration with vendors, and compliance with regulatory mandates. SecurityScorecard serves a diverse range of industries, including public sector, technology, healthcare, financial services, and more. Its comprehensive suite of tools and services, such as Security Ratings and MAX, empower organizations to proactively manage cyber risks and enhance their overall security structures.

📋 Description

• Deploy onsite with strategic customers to map security, risk, and compliance workflows end to end • Identify where value is lost through manual effort or disconnected tools • Gather requirements from practitioners and executives and understand dependencies across people, process, and data • Integrate SecurityScorecard into customers’ existing data, logic, and processes • Build AI-native solutions using LLMs, ML models, and modern AI tooling to automate analysis and reduce manual work • Perform data analysis and data science on customer and platform data, including translating ratings into Annualized Loss Expectancy, Value at Risk, and ROI • Design and deploy integrations, pipelines, and tools connecting SecurityScorecard to SIEM, GRC, ticketing, and data warehouse systems • Architect and deploy solutions across AWS, Azure, and GCP environments • Prototype solutions in the field and harden them into supportable, production-quality software • Bridge Product, Engineering, and customers while feeding field patterns 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

🎯 Requirements

• 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 • 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, including risk quantification, benchmarking, and 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 including REST, webhooks, SSO/SAML, and SIEM connectors • Solid architecture design experience across AWS, Azure, and GCP • 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 • No immigration sponsorship is provided for this position

🏖️ Benefits

• Competitive salary • Stock options • Health benefits • Unlimited PTO • Parental leave • Tuition reimbursements • Annual performance-based incentive compensation awards • Equity • Reasonable accommodations for qualified individuals with disabilities

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