Top Tech Jobs & Startup Jobs in Los Angeles, CA

Manage and expand a US and LATAM mid-market book by identifying upsell opportunities, using MEDDPICC for strategic sales, forecasting pipeline, collaborating with Customer Success and Sales Engineers, and meeting revenue KPIs.

Lead client onboarding and implementation projects for a SaaS HR platform. Serve as primary client contact, gather requirements, configure the platform, manage project plans, identify and mitigate risks, drive cross-functional collaboration, and ensure successful deployments on schedule while maximizing client value.

Lead and scale Scrunch's legal function: own commercial contracting, privacy/compliance, corporate governance, employment support, outside counsel management, and support fundraising and transactions.

Own end-to-end onboarding and launch for complex enterprise health plan and health system partners. Lead technical discovery, manage integrations and configurations, drive cross-functional execution, define scalable implementation playbooks, ensure launch readiness and post-launch stabilization, and balance partner customization with operational scalability.

Lead and scale strategic relationships with named GSIs (e.g., Infosys, LTIMindtree). Own APAC revenue across sell-to/sell-with/sell-through motions, program-manage global business plans, influence pipeline, develop joint solutions and JSOs, and drive enablement, forecasting, and executive engagement to achieve partnered growth targets.

Drive new business through outbound prospecting, build and maintain partner relationships and a strong sales pipeline, conduct sales meetings/demos, and achieve quota while managing information flow across the sales cycle.

Lead QA automation strategy and execution across web, API, and database layers. Architect and maintain scalable test frameworks, integrate tests into CI/CD, drive performance and functional security testing, mentor QA engineers, manage QA backlog, and ensure release readiness through risk management and root cause analysis.

Lead end-to-end data science initiatives: design, deploy, and monitor production ML models for credit risk, pricing, collections, and fraud. Partner cross-functionally to integrate models, set development standards, mentor team members, and maintain reliable, scalable machine learning pipelines and monitoring systems.

Provide overnight operational and technical support for trading systems: monitor systems and risk limits, troubleshoot disruptions, coordinate with traders, engineers, and vendors, perform root cause analysis, adjust limits per policy, and maintain detailed operational documentation.

Lead design, build, and scale of production ML systems (including supervised, unsupervised, and LLM-based models). Translate prototypes into cloud-native deployments, optimize model performance, implement MLOps practices, and collaborate cross-functionally to integrate AI features while promoting model governance, explainability, and responsible AI.

Lead accounting for a multi-entity, high-volume SaaS business. Own monthly close, GAAP/ASC 606 revenue accounting, NetSuite ownership, treasury, outsourced accounting oversight, controls, audits, system migrations, and cross-functional partnerships to scale processes and reporting.