Product Software Engineer

We are a leader in fraud prevention and AML compliance. Our platform uses device intelligence, behavior biometrics, machine learning, and AI to stop fraud before it happens. Today, over 300 banks, retailers, and fintechs worldwide use Sardine to stop identity fraud, payment fraud, account takeovers, and social engineering scams. We have raised $145M from world-class investors, including Andreessen Horowitz, Activant, Visa, Experian, FIS, and Google Ventures.

We have hubs in the Bay Area, NYC, Austin, and Toronto. However, we maintain a remote-first work culture. #We value performance and not hours worked. We believe you shouldn't have to miss your family dinner, your kid's school play, friends get-together, or doctor's appointments for the sake of adhering to an arbitrary work schedule.

We’re looking for a full-stack software engineer who’s excited to bring AI-powered products to life. You’ll work across backend and frontend systems to help evolve our platform and integrate AI into real customer-facing features.

This is a high-impact role where you’ll take ownership of complex problems, collaborate closely with the team, and help build AI agents already used by customers. Your work will directly help clients safeguard their assets and protect against malicious threats and fraudsters.

You’ll have the independence to drive projects forward and the ownership to shape solutions from start to finish. Your intense curiosity and eagerness to explore new technologies will be instrumental in safeguarding our clients' assets against malicious threats and fraudsters.

If you love building meaningful products, enjoy solving open-ended problems, and want to work at the forefront of AI, we’d love to hear from you.

Design, build, and maintain robust full-stack applications that power AI-driven products.

Work closely with AI and product teams to integrate AI directly into customer-facing applications.

Troubleshoot production issues, including running SQL queries and validating datasets.

Own projects from idea to launch, helping shape product direction along the way.

Collaborate with a cross-functional team of designers, engineers, and product leaders.

Stay curious, keep up with the latest AI developments, and bring fresh ideas to the team.

5+ years of full-stack engineering experience, with strong backend focus and production-level frontend development.

• Solid experience with backend language (we use Go and Python) and modern frontend frameworks, React + TypeScript.
• Comfortable working with SQL and relational databases to troubleshoot and validate data.
• Genuine curiosity and excitement for AI, with a strong desire to learn and grow in this space.
• Strong communication and collaboration skills, with a track record of working effectively in globally distributed remote cross-functional teams.
• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

Experience in fraud, risk, or compliance domains is a significant plus.

Experience with version control systems, CI/CD pipelines, and cloud platforms (AWS, GCP, or Azure) is a plus.

Demonstrated ability to leverage large language models for innovative product development.

Base pay range of $170,000 - $220,000 + equity with tremendous upside potential + Attractive benefits.

The compensation offered for this role will depend on various factors, including the candidate's location, qualifications, work history, and interview performance, and may differ from the stated range.

Generous compensation in cash and equity

• Remote-first Culture
• Flexible paid time off, Year-end break, Self care days off
• Health insurance, dental, and vision coverage for employees and dependents - US and Canada specific
• One-time stipend to set up a home office — desk, chair, screen, etc.
• Monthly social meet-up stipend
• 170K – $220K • + equity with tremendous upside potential + attractive benefits

The compensation offered for this role will depend on various factors, including the candidate's location, qualifications, work history, and interview performance, and may differ from the stated range.