About the role
Who we are: Sardine is the leading agentic risk platform for fighting financial crime. Our integrated solution unifies data across risk teams to help organizations stop fraud in real time, prevent AI-driven attacks, and automate fraud and AML operations. Sardine’s platform is strengthened by one of the fastest-growing fraud consortiums in the market, spanning more than 6 billion profiled devices, 800 million consumers, and 3 million businesses worldwide. Leading companies including FIS, GoDaddy, Intuit, Edward Jones, ZoomInfo, and Checkout.com rely on Sardine to secure and grow trust in their products. Our culture: We have hubs in the Bay Area, NYC, Austin, Toronto, and São Paulo. However, we maintain a remote-first work culture. #WorkFromAnywhere We hire talented, self-motivated individuals with extreme ownership and high growth orientation. 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. Location Remote - United States, West Coast preferred From Home / Beach / Mountain / Cafe / Anywhere! We are a remote-first company with a globally distributed team. You can find your productive zone and work from there.
About
the role We're looking for a Support Engineering Lead to own and scale the technical support experience at Sardine. This role sits at the intersection of deep technical ownership, people leadership, and operational excellence. You'll lead a team of Support Engineers who resolve complex issues across Sardine's API-driven fraud and payments platform, while building the processes, tooling, and culture that enable
the team to operate at a high level across global time zones. You'll be a player-coach with a strong technical foundation, someone who has written code before, understands systems at depth, and isn't afraid to get into the weeds of a hard problem. You know how to lead people, but your instinct is always to understand the technical reality first. You've worked in startups and know what it means to move fast, own outcomes, and build things that didn't exist before. The ideal candidate brings the structure and experience of a larger company with the scrappiness and bias for action of a startup operator. What you'll be doing Lead, coach, and develop a team of Support Engineers, driving accountability, continuous growth, and a high-performance culture Own service delivery end-to-end, acting as the primary escalation point for complex technical issues and enterprise customer situations Get hands-on when it counts, diving into tickets, debugging API issues, joining customer calls, and leading incident response alongside your team Build and enforce operational processes including incident management, escalation playbooks, and internal quality review frameworks Define and track team metrics and dashboards, using data to identify trends, surface systemic issues, and drive continuous improvement Partner with Engineering, Product, and Customer Success to advocate for customer needs and influence platform improvements Champion AI and automation adoption, including Pylon's AI Assistant, to improve team productivity and service quality Lead hiring, onboarding, and career development to scale the support organization as Sardine grows Represent the support function in cross-functional forums and contribute to strategic decisions with customer insights and operational data What you'll bring 7+ years in technical support, support engineering, software engineering, or a related technical role, ideally with a background that includes hands-on development or engineering experience 3+ years managing technical support teams, including performance management and coaching Hands-on technical background, prior software development experience is a strong plus Proficiency with SQL and REST APIs; comfortable using debugging and observability tools Experience in both startup and larger company environments Experience running high-volume support operations with enterprise SLAs and on-call
