Distinguished Software Engineer, AI

Remote; San Francisco (CA); À distance; USD 350 000 - 400 000; Plein temps

Avantages offerts par ce poste

Health benefits

Stock options

Unlimited PTO

Parental leave

Tuition reimbursements

Résumé du poste

SecurityScorecard is building a new AI-driven engineering team to redefine how software is shipped at scale. You’ll be among the first engineers, shaping how agents write and review production code, building guardrails, and driving end-to-end reliability.

You will lead architecture discussions, own components, and collaborate with others to deliver customer-facing AI-powered features using TypeScript, Go, and AWS, while maintaining security and performance.

Qualifications

• 10+ years building and shipping production software.
• Proven track record leading teams and setting direction.
• Deep CS and system design fundamentals.
• Hands-on use of AI coding tools on real codebases.
• Experience with LLMs: agents, tools, evals, prompts.
• Proficiency in TypeScript and backend fundamentals.
• Experience designing distributed systems in cloud environments (AWS).
• CI/CD, containerization (Docker, Kubernetes) and production deployment.
• Clear, direct communication with stakeholders.

Responsabilités

• Run agentic coding workflows on production code and find out what actually holds up at scale.
• Build tooling, guardrails, evals and review practices for trusted code shipping.
• Design systems that stay sound when most code is written by agents and define human oversight.
• Ship real product changes and test the new workflow approach.
• Pair with engineers across the org and help them adopt new learnings.
• Lead hiring interviews and help decide who joins the team.
• Document learnings for other teams to reuse.

Connaissances

AI coding tools

TypeScript

AWS

Distributed systems

System design

CI/CD

Go

Outils

Docker

Kubernetes

Go

AWS

Description du poste

Defining the future of work & living globally

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:

We're starting a new engineering team, and its job is to change how SecurityScorecard builds software. You'll be one of the first people on it.

The team works out how a company our size should ship code now that agents can write most of it. That means real work on the codebase: running agentic coding workflows end to end, finding where they break, building the tooling and guardrails that fix those breaks, and turning what works into the way the rest of engineering operates. We'll pick product areas to test against as we go. Over time the team takes on real product ownership and folds back into the wider engineering org.

We want strong engineers who went deep on AI coding because they couldn't leave it alone. You know how production systems fail and you've pushed agentic tools far enough to know where they still fall short. You also care about building a team you'd want to work on, and you'll stick around after the novelty wears off.

This is greenfield. You'll report to our CTO or to an engineer leading the team, and the reporting lines will move as the team grows. If titles and org charts matter a lot to you, this role won't be a good fit. We care about execution and impact.

What you'll do

Run agentic coding workflows on production code and find out what actually holds up at our scale

Build the tooling, guardrails, evals and review practices that let agents ship code we trust

Design systems that stay sound when most of the code is written by agents, and decide where humans need to stay in the loop

Ship real changes to our products, using them as test cases for the new way of working

Pair with engineers across the org, review their work and help them adopt what we learn

Raise the hiring bar: interview candidates and help decide who joins the team

Write down what we learn so other teams can use it without us in the room

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 (Claude Code, Codex, Cursor, etc.) 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

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

Required Qualifications:

10+ years building and shipping production software, with a track record at strong engineering companies (big tech, high-growth startups, or both)

Evidence that you drove things. We want the people who set the direction on their teams, not the ones who rode along.

Deep computer science and system design fundamentals. You can design a distributed system on a whiteboard and explain how it fails.

Heavy, hands‑on use of AI coding tools on real codebases, with opinions about what works and what doesn't

Experience building with LLMs: agents, tool use, evals, prompt, and context design

Proficiency in TypeScript and strong backend engineering fundamentals

Comfort with ambiguity and a team that changes shape. You'll help define the job as we go.

Experience designing and operating distributed systems in cloud environments (AWS preferred)

Hands‑on experience with CI/CD, containerization (Docker, Kubernetes), and production deployment practices

Clear, direct communication with both technical and non‑technical stakeholders

How we interview:

Expect a system design round, a coding exercise where you're expected to use AI tools, and a deep dive into a project you led, including how you used AI on it. We'll ask follow‑up questions until we understand the decisions you made and why.

Location and compensation:

Remote. We're hiring across United States, Canada, and Latin America.

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 U.S. locations, the estimated total compensation range for this position is $350,000-$400,000 USD, all base salary. This role also includes a substantial equity grant on top of cash compensation.

For candidates based in Canada, the estimated total compensation range for this position is $400,000-$500,000 CAD, all base salary. This role also includes a substantial equity grant on top of cash compensation.

For candidates based in Argentina/Brazil, the estimated total compensation range for this position is $175,000-$250,000 USD, all base salary. This role also includes a substantial equity grant on top of cash compensation.

SecurityScorecard is committed to Equal Employment Opportunity and embraces diversity. We believe that our team is strengthened through hiring and retaining employees with diverse backgrounds, skill sets, ideas, and perspectives. We make hiring decisions based on merit and do not discriminate based on race, color, religion, national origin, sex or gender (including pregnancy) gender identity or expression (including transgender status), sexual orientation, age, marital, veteran, disability status or any other protected category in accordance with applicable law.

We also consider qualified applicants regardless of criminal histories, in accordance with applicable law. We are committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or accommodation due to a disability, please contact [e-mail].

Any information you submit to SecurityScorecard as part of your application will be processed in accordance with the Company’s privacy policy and applicable law.

SecurityScorecard does not accept unsolicited resumes from employment agencies. Please note that we do not provide immigration sponsorship for this position. #LI-DNI