Top Tech Jobs & Startup Jobs in Los Angeles, CA

Build and productionize AI systems for logistics: multi-agent copilots, forecasting/optimization models, evaluation and observability, continuous learning loops, and operational reliability. Mentor engineers and make build-vs-rule tradeoffs while shipping high-impact ML services.

Owner of enterprise customer technical and commercial health: debug integrations, trace API/webhook failures, build dashboards with SQL, lead QBRs and renewals, drive expansion and product adoption, create runbooks, and relay technical feedback to Product and Engineering.

Own technical pre-sales for enterprise delivery deals: run discovery, build tailored demos and POCs, guide engineering through API integrations to first live orders, produce integration specs, respond to RFPs/security questionnaires, and hand off to post-sales while informing product roadmap.

Lead and grow two Merchants engineering teams (Core and Growth). Own technical direction, architecture (billing, checkout, delivery promise), hiring, roadmap, sprint health, and cross-functional partnerships to deliver reliable merchant-facing product features.

Lead finance and operations at a high-growth marketplace startup: own budgeting, forecasting, capital allocation, revenue strategy, FP&A, accounting operations, audit readiness, fundraising diligence, cap table and scenario modeling, and partner with founders on company-wide operational decisions.

The Supply Strategy & Operations Manager leads the supply-side ecosystem, manages DSP relationships, and oversees performance metrics while optimizing the supply network.

Founding member of the Platform team owning infrastructure, security, CI/CD, and reliability. Design and operate AWS account architecture and services (ECS Fargate, RDS/Aurora, ElastiCache, SQS, ALB), author Terraform IaC, harden IAM and S3, enable AWS security tooling, maintain SOC 2 readiness, improve GitHub Actions pipelines, build PR and local dev environments, integrate observability, and lead incident reviews and runbook creation.

Lead and build Burq's data and ML platform: own warehouse, ingestion, semantic layer, and BI; architect and ship forecasting, optimization, matching, and reliability models; implement feature pipelines, training/serving, and monitoring; drive AI agent initiatives; hire and grow a data/ML team; set governance, intake processes, and partner with product, engineering, and commercial stakeholders to align models with business impact.