Sardine

HQ
San Francisco
130 Total Employees
Year Founded: 2020

Sardine Benefits Overview

Benefits we offer: Generous compensation in cash and equity Early exercise for all options, including pre-vested Work from anywhere: 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 4% matching in 401k / RRSP - US and Canada specific MacBook Pro delivered to your door One-time stipend to set up a home office — desk, chair, screen, etc. Monthly meal stipend Monthly social meet-up stipend Annual health and wellness stipend Annual Learning stipend Unlimited access to an expert financial advisory

Company Culture

Offers a remote work program

We have hubs in the Bay Area, NYC, Austin, and Toronto. However, we maintain a remote-first work culture. #WorkFromAnywhere

Recently posted jobs

3 Days AgoSaved
Remote
USA
Artificial Intelligence • Fintech • Machine Learning • Software • Financial Services
Serve as a technical advisor to prospective customers, supporting Account Executives with fraud and compliance discovery, customized product demonstrations, RFPs, security reviews, and solution designs. Collaborate with Product and Engineering to improve Sardine’s platform and sales processes. Communicate complex technical and business concepts to global clients and contribute to revenue growth in a remote-first environment.
5 Days AgoSaved
Remote
2 Locations
Artificial Intelligence • Fintech • Machine Learning • Software • Financial Services
Own integration program plans for complex enterprise engagements, including milestones, dependencies, timelines, feature requests, governance, RACI structures, communications, and project-health reporting. Serve as the primary client contact, coordinate Engineering, Product, Integrations, and Solutions teams, manage risks and expectations, and provide technical insight to help prioritize and resolve client needs across concurrent engagements.
9 Days AgoSaved
Remote
2 Locations
Artificial Intelligence • Fintech • Machine Learning • Software • Financial Services
Conduct applied research on foundation models for real-time fraud detection using large-scale behavioral and sequential data. Design experiments, benchmarks, holdouts, and monitoring systems; develop models from data preparation through deployment; and optimize training and inference efficiency. Collaborate with engineering, client-facing teams, legal, compliance, and customers to productionize models and establish explainability, governance, and risk documentation.