Jobs at Riskified

Positions 180

Riskified is a leading fraud‑prevention platform that protects e‑commerce merchants worldwide. Its AI‑driven technology automatically approves legitimate purchases while blocking fraud in real time, earning the company recognition for rapid growth and a strong IPO in 2021.

Hiring at Riskified spans software engineering, data science, product management, sales, and customer success. Candidates can expect a data‑centric culture, collaborative cross‑functional teams, and opportunities to work on high‑impact projects that serve millions of transactions per day.

Job Transparency’s Riskified listings reveal exact salary ranges, bonus structures, and employee sentiment scores, giving you a realistic view of compensation and workplace culture before you apply.

No open positions at Riskified right now.

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Frequently Asked Questions

What is it like to work at Riskified?

Work culture at Riskified centers on data‑driven decision making, rapid iteration, and a flat hierarchy that encourages ownership. Employees regularly participate in hackathons, quarterly hack days, and cross‑team demos. The company offers flexible remote options, a comprehensive benefits package, and a clear path for career growth in engineering, product, and sales tracks.

What types of positions are available at Riskified?

Riskified hires across multiple domains: software engineering (frontend, backend, full stack, mobile), data science & analytics, machine learning engineering, product management, UX/UI design, sales and business development, marketing, finance, and operations. Most roles require strong analytical skills, collaboration, and a passion for scaling fraud‑prevention technology.

How can I stand out as an applicant for Riskified?

To stand out, showcase concrete results from past projects—quantify impact in fraud reduction or revenue growth. Highlight experience with AI/ML pipelines, large‑scale data processing, or e‑commerce integrations. Tailor your resume to the job description, include a link to relevant code or case studies, and prepare to discuss how you would solve real fraud‑prevention challenges in an interview.

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