Top Tech Jobs & Startup Jobs in Los Angeles, CA

Own and develop pipeline for large enterprise (10,000+ employees) accounts for Stack Internal. Prospect, qualify, close new business, meet or exceed quota, create territory strategy and forecasts, build executive relationships, contribute to sales playbooks and product roadmap.

Design graphic assets for various mediums, support campaigns, manage design assets, and collaborate in a fast-paced environment while maintaining brand standards.

As a Software Engineering evaluator, you will curate code examples and evaluate AI-generated code for efficiency while collaborating with cross-functional teams to enhance AI-driven solutions.

Walnut seeks to change healthcare affordability through a point-of-sale lending platform that breaks large medical bills into manageable payments.

Join a small team to improve a tech product aimed at upskilling users in MENA, working with JavaScript and Node.js in a collaborative remote environment.

Lead large-scale PLM/PDM/QMS migrations to the Propel platform, run process and data mapping workshops, architect integrations with CAD and ERP systems, deliver multiple concurrent implementations on time and budget, and provide PLM/QMS consulting and migration best practices.

Teravision Technologies seeks a Backend Developer with 3+ years of NodeJS experience, primarily working with Express and MongoDB, preferably knowledgeable in Typescript and CI/CD tools.

Serve as a technical sales specialist for healthcare customers: understand clinical workflows, demo solutions, design tailored integrations with EHRs, support sales cycles, liaise with product teams, and recommend solutions that drive adoption and close deals.

Support and enforce NIST/CMMC-aligned security controls; monitor SIEM/EDR and perform incident triage and response; manage Windows/AD environments; conduct vulnerability scanning and remediation; protect and classify FCI/CUI; support audits and control validation; maintain compliance documentation; collaborate with IT and business teams and communicate security risks to technical and non-technical stakeholders.

Annotate images and video for computer vision using bounding boxes, polygons, segmentation masks, and SKU-level labels. Audit model predictions, enforce annotation quality, identify hardware/software capture issues, and collaborate with ML, hardware, and product teams to validate fixes and improve data pipelines.