Top Tech Jobs & Startup Jobs in Los Angeles, CA

Senior Commercial Counsel will draft, review, and negotiate complex subscription, partnership, vendor, and other commercial agreements. The role primarily supports a global Sales organization, advises cross-functional teams, manages contracts managers, and handles enterprise and strategic partnership transactions. Responsibilities include balancing competing priorities, supporting legal projects, and providing practical, business-minded legal guidance in a fast-paced environment.

Own strategic enterprise customer relationships from onboarding through growth, ensuring platform performance, alignment, retention, and expansion. Build executive stakeholder relationships, lead discovery and change-management sessions, resolve issues cross-functionally, create long-term growth plans, conduct business reviews, identify upsell and cross-sell opportunities, and collaborate with Product, Marketing, Sales, Implementation, and Risk teams. Travel approximately 30% and host executive customer engagements.

Generate qualified pipeline for high-value e-commerce accounts through targeted research, personalized outreach, discovery calls, and collaboration with strategic sellers. Manage mid-funnel opportunities, maintain accurate CRM records, coordinate with Marketing, Sales Operations, and Partnerships, report on sales metrics, and contribute to sales process improvements. The role requires strong communication, organization, CRM proficiency, and understanding of longer sales cycles.

Leads and develops an engineering team building, deploying, and operating machine-learning models and services for fraud prevention. Owns roadmap delivery, technical decisions, reliability, testing, monitoring, and stakeholder communication. Partners with data scientists, ML engineers, product, risk, and engineering teams. Drives responsible AI-tool adoption, recruits and coaches engineers, manages priorities, and ensures scalable, high-quality production systems.

Lead design, implementation, and operation of Signifyd's GCP/Kubernetes cloud platform. Architect scalable, secure infrastructure, embed AI-driven automation, own SLOs and incident response, improve developer experience via CI/CD/GitOps tooling, mentor engineers, manage cloud capacity/FinOps, and build observability and security into the platform.

Lead and grow a distributed ML engineering team that runs experiments, ships production models, and partners with Risk and platform teams. Balance research bets and delivery, enforce rigorous evaluation and reproducibility, mentor engineers, own roadmap trade-offs, and represent results to stakeholders while improving model performance and production reliability.

Lead design and delivery of the public-facing API platform and ingestion services. Build scalable, reliable real-time distributed systems, collaborate with product and data teams, review designs and code, address technical debt, take operational ownership using observability tools, and mentor engineers.