Top Tech Jobs & Startup Jobs in Los Angeles, CA

Analyze and transform cloud data using SQL, dbt, and Google Cloud; build automated pipelines, data visualizations, validation checks, unit tests, monitoring, and alerts. Partner with engineering teams and enterprise insurance clients to improve data quality, governance, automation, and decision-making. Communicate insights clearly, document technical work, develop insurance domain expertise, and contribute to collaborative reviews and on-call support.

Owns accounting support for the deal desk and quote-to-cash process at a SaaS company. Responsibilities include reviewing contracts for ASC 606 implications, advising Sales and Legal on deal structures, establishing approval workflows, translating contract terms into billing configurations, managing amendments and renewals, and partnering with Sales Operations, Finance, and Accounting. The role also supports commercial governance, SaaS metrics analysis, audit, and cross-functional training.

Own end-to-end product design for agent, wholesaler, and back-office insurance workflows. Conduct research, define problems, create user flows and Figma designs, build coded prototypes, validate solutions, and partner with engineering through implementation. Design integration experiences involving permissions, data imports, APIs, quoting, and status workflows. Contribute to design critiques and systems while balancing usability, trust, accuracy, compliance, technical constraints, and stakeholder needs in a regulated product environment.

Build and productionize traditional machine learning models, owning feature engineering, validation, deployment, monitoring, drift detection, and retraining. Develop LLM-powered agentic tools, dashboards, self-serve analytics products, and automated insight pipelines. Partner with engineering and business stakeholders, write production-grade Python and SQL, drive adoption, improve data quality, and establish responsible AI workflows for a regulated industry.

Build and scale Go backend services for agent quoting, configuration, and application submission. Design APIs and distributed systems, write unit and integration tests, resolve partner-specific issues, contribute to architecture, support production debugging, improve CI/CD automation, and use AI coding tools in daily engineering workflows. Collaborate with adjacent teams and mentor teammates through pairing and documentation.

Design, build, and operate backend services for Bestow’s insurance platform using Python, Go, Java, and PostgreSQL. Collaborate on technical decisions, integrations, carrier onboarding, and scalable platform capabilities. Mentor engineers through reviews and pairing, improve production reliability and observability, participate in on-call support, and communicate technical decisions in a remote-first environment. Use agentic AI coding tools daily and help establish effective AI-assisted development practices.

Build and scale Go backend services for agent quoting, configuration, and application submission. Partner with adjacent teams, resolve partner-specific edge cases, provide architectural leadership, write unit and integration tests, review code, and promote automation, CI/CD, and continuous improvement. The role expects daily use of AI coding tools and ownership of services across distributed systems and microservices environments.

Own Bestow’s total rewards portfolio, including compensation benchmarking, salary bands, merit and bonus cycles, equity administration, geographic pay ranges, benefits strategy, and renewals. Configure and maintain Pave, ensure HRIS data integrity, support job leveling, model equity programs, and partner with Finance, Legal, brokers, and the compensation committee. This hands-on role will build the company’s Total Rewards infrastructure from the ground up.

Leads the Insurance Product Configuration and Enrollment Platform Core, managing engineering managers and 20–30 engineers. Owns technical vision, distributed systems architecture, delivery commitments, operational excellence, testing strategy, partner implementations, and cross-team interfaces. Develops engineering leaders, manages hiring and vendors, and drives adoption of AI-augmented development tools and practices. Ensures scalable, secure, reliable platform services while balancing contractual delivery dates with long-term platform maintainability.

Own operational reporting, diagnostic analysis, capacity planning, platform administration, system changes, process improvement, and cross-functional program execution. Partner with Product, Engineering, workforce planning, vendors, training, and quality teams to improve operational performance. Lead accountability mechanisms, roadmap alignment, AI and automation initiatives, and scaled delivery while mentoring teammates and influencing without formal authority.