Top Tech Jobs & Startup Jobs in Los Angeles, CA

Own and deliver polished, accessible, high-performance frontend experiences using React and TypeScript. Set frontend technical standards, mentor engineers, use AI-assisted development tools, and contribute to product roadmaps. Build backend services and APIs in Go as needed, collaborate with stakeholders, document user-facing products, and help shape engineering culture and quality.

Lead client onboarding and end-to-end integrations for fraud and compliance products. Translate technical and business requirements into scalable solutions, manage implementation timelines and risks, support customers, maintain API and SDK documentation, analyze SQL and JSON data, build internal automation tools, and provide product feedback to internal teams.

Lead Sardine’s fraud product portfolio, setting vision and roadmap across device intelligence, behavioral biometrics, and machine learning. Manage product managers and partner with engineering, data science, risk operations, marketing, and sales. Drive fraud detection performance, reduce false positives and customer friction, monitor emerging threats, and scale zero-to-one products into enterprise-ready solutions for payment and fraud-prevention customers.

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.

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.

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.

Own procurement as the company’s first in-house buyer, managing sourcing, vendor relationships, negotiations, contracts, renewals, and purchasing decisions across software, IT, marketing, travel, events, and professional services. Build procurement processes, improve spend visibility, drive savings, guide stakeholders, and coordinate vendor security, privacy, and contract-risk reviews with Finance, Legal, and Security.

Own new business sales for Sardine’s crypto vertical, targeting exchanges, wallets, custodians, on/off-ramps, stablecoin issuers, and blockchain ecosystems. Build pipeline through conferences and industry relationships, lead multi-stakeholder discovery, position integrated fraud and compliance solutions, and structure and close complex multi-module platform deals. The role requires crypto-specific buyer relationships, fluency in AML, KYC/KYB, and sanctions, collaboration with executives and Solutions Engineering, and frequent travel to conferences and client sites.

Manage a portfolio of B2B customers as their primary Sardine stakeholder. Advise clients on fraud, compliance, payments, and risk best practices; explain complex product and technology concepts; coordinate solutions with internal teams; monitor and communicate KPIs; analyze fraud typologies; and support strategic customer expansion while maximizing product ROI.

Lead end-to-end data and ML pipelines for onboarding and fraud decisions: ingest streaming and batch sources, build feature platform and entity resolution, productionize ML models, enforce PII/data governance, and set technical direction while mentoring engineers and ensuring low-latency, reliable serving.