Senior AI Engineer, SecurityScorecard
CA$140-170k
OTE
More information about location
Cybersecurity ratings & risk management
Be an early applicant
Cybersecurity ratings & risk management
501-1000 employees
Be an early applicant
CA$140-170k
OTE
More information about location
501-1000 employees
Company mission
SecurityScorecard's mission is to make the world a safer place by transforming the way organisations understand, mitigate, and communicate cybersecurity risk to their boards, employees, and vendors.
Role
Who you are
- 5+ years of professional software engineering experience with a strong track record shipping customer-facing product features
- 2+ years of hands-on experience building AI-powered applications in production, including LLM integration, prompt design, and output evaluation
- Proficiency in TypeScript and strong backend engineering fundamentals
- Demonstrated ability to own complex projects end-to-end across the full software development lifecycle
- Experience designing and operating distributed systems in cloud environments (AWS preferred)
- Hands-on experience with CI/CD, containerization (Docker, Kubernetes), and production deployment practices
- Strong computer science fundamentals including systems design, data structures, and networking
- Fluency with AI-native development workflows including AI-assisted coding tools as part of day-to-day engineering
- Clear, direct communication with both technical and non-technical stakeholders
Desirable
- Experience with agentic AI systems, multi-agent orchestration, or retrieval-augmented generation (RAG)
- Familiarity with LLM evaluation frameworks and production observability for AI systems
- Background in cybersecurity, threat intelligence, or compliance-focused products
- Experience with high-scale data systems and large structured datasets
- Full-stack delivery experience and comfort working across the product surface
What the job involves
- We are looking for a Senior AI Engineer who ships
- This is a hands-on builder role for an engineer who is as comfortable defining the architecture of an agentic workflow as they are reviewing the production code that runs it
- You will work at the intersection of LLMs, distributed systems, and real customer problems, turning emerging AI capabilities into features that security teams rely on every day
- Design, build, and ship customer-facing AI-powered product features using TypeScript, Go, and AWS, owning quality and reliability end-to-end
- Architect and implement agentic workflows, LLM pipelines, and intelligent automation that help customers surface faster, more actionable security insights
- Integrate foundation models into existing product surfaces with a practical eye toward latency, cost, output quality, and evaluation
- Use AI-native development tools (Cursor, Claude Code, and similar) as a core part of your workflow, setting the standard for how this team builds
- Lead architecture and code reviews with a focus on production-grade reliability, security, and maintainability
- Partner with product and design to translate user needs into compelling AI-driven experiences, contributing product judgment alongside technical execution
- Own projects end-to-end from concept through production, including monitoring, iteration, and improvement post-launch
- Stay current with the AI tooling and foundation model landscape and bring relevant advances into our roadmap and practices
- Our Tech Stack: TypeScript / JavaScript, Go, AWS, Docker, Kubernetes, Terraform, ClickHouse, PostgreSQL
Our take
Organisations understand the value of data and the value of business partnerships that will help them leverage it. However, involving more companies increases the risk of vulnerabilities and, therefore, costly data breaches. SecurityScorecard is a cloud-based enterprise SaaS solution that helps organisations assess and manage cybersecurity risks, offering analyses of potential partner companies using A-F security ratings.
SecurityScorecard looms over its competitors as it covers millions of companies, offering near-instant cybersecurity analyses and an array of capabilities. It has a large, global, and big-name customer base, including 9 of the top 10 pharmaceutical companies and 9 of the top 10 banking institutions, and it is likely to go public in the next few years.
It has both developed and consolidated an impressive lead in a sector that will continue to grow and reward cutting-edge security solutions. Security Scorecard set to remain an industry leader with demonstrable, accessible, and highly attractive customer offerings. In 2024, this included a supply chain cyber risk management platform - MAX - which is driving record revenue.
Freddie
Company Specialist at Welcome to the Jungle
Insights
62% employee growth in 12 months
Company
Funding (last 2 of 7 rounds)
Mar 2021
$180m
SERIES E
Jun 2019
$50m
SERIES D
Total funding: $294.4m
Company benefits
- Stock options
- 12 weeks of paid maternity leave / 4 weeks paid paternity leave
- Work from home opportunities
- Medical, dental, and vision coverage
- Unlimited PTO
- 401K
- $3k annual education stipend per employee
- Full access to our learning platform and company professional development events
- Up to $10K referral bonus
Company HQ
Midtown South, New York, NY
Leadership
Aleksandr Yampolskiy
(Co-Founder & CEO)Worked at Oracle and Goldman Sachs, before serving for 2 years as CISO of Gilt Group. Founded NYC Technology Startup, Meetup, in 2012 and then worked as CTO of Cinchcast.
Sam Kassoumeh
(Co-Founder & COO)Progressed from Technology Compliance Manager to Head of Security and Compliance at Gilt Groupe within 4 years, and worked as Cyber Security Advisor for Billy.
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