Top Tech Jobs & Startup Jobs in Los Angeles, CA

Drive SAP migration and managed services sales for mid-market companies. Own the full sales cycle from prospecting through negotiation and close, sell bundled SAP licenses and services, develop new logo opportunities, manage proposals and pricing, engage C-suite decision makers, expand existing accounts, and ensure SAP PartnerEdge Sell compliance. Travel may be required up to 40%.

Own the full sales cycle for CoinMarketCap API products, including prospecting, demos, closing, onboarding coordination, renewals, upselling, and forecasting. Develop relationships with crypto exchanges, DeFi protocols, fintech platforms, data aggregators, and institutional clients. Assess technical data requirements, recommend API solutions, monitor competitors, and relay customer feedback to Product and Engineering.

Own the full sales cycle for CoinMarketCap’s advertising products, including prospecting, pitching, negotiating, and closing deals. Build advertiser pipelines, develop media plans, manage client relationships, coordinate campaign execution, grow existing accounts through renewals and upsells, analyze campaign performance, and monitor crypto advertising market trends.

Leads recruitment and speaker contracting for medical education events, coordinating timelines, deliverables, cross-functional teams, client updates, status reporting, and issue resolution. The role manages multiple events, maintains event data and analytics, supports key accounts, and identifies process improvements. Strong organization, communication, multitasking, and proficiency with Microsoft Office are required. A bachelor's degree is required, with 1–3 years of experience preferred.

Drive revenue growth, retention, and expansion across strategic enterprise SaaS accounts. Build executive relationships, develop account plans, close upsell and cross-sell opportunities, monitor customer health and usage metrics, manage forecasts and pipelines, and partner with Customer Success, Product, Marketing, and Services teams. Advise clients on operational efficiency, customer experience, AI-powered solutions, and business growth.

Software Engineer Interns collaborate with software and test engineers to code, debug, document, develop automated tests, and implement software components. They translate user stories and requirements, support technical design and planning, and participate in testing and implementation within an Agile environment. The 10-week remote program provides practical experience to students pursuing technical degrees, with exposure to enterprise integration, APIs, event streaming, data integration, and generative AI tools.

Supports software engineers and cross-functional partners with coding, debugging, technical documentation, automated testing, and software development. Translates user stories and requirements into test scripts and software components, while contributing to technical design, planning, testing, and implementation within an Agile development environment. This is a 10-week remote internship for a currently enrolled college student.

Software Engineering Intern supporting coding, debugging, technical documentation, automated testing, software development, and Agile project implementation. The intern will collaborate with engineers, test teams, business partners, and leaders while translating user stories into software components and test scripts. The 10-week remote program requires current junior-level enrollment in an accredited college or university, preferably studying Computer Science or Information Technology.

Designs cloud, automation, virtualization, networking, storage, and telecommunications architectures for enterprise customers. Translates business requirements into integrated technology solutions, leads architecture sessions, guides cloud and DevOps adoption, mentors customers, and coordinates Red Hat product, engineering, support, services, and sales teams. The role also contributes to project documentation, quality assurance, ticket management, and reliable implementation of customer solutions.

Develops brand-consistent design concepts and production-ready assets for digital marketing campaigns, email, social media, events, and large-scale print. Collaborates with copywriters, art directors, designers, and producers; presents creative options; incorporates feedback; manages multiple projects and deadlines; and supports creative presentations. The role requires strong visual storytelling, typography, color, layout, digital and event design expertise, and proficiency with Adobe Creative Suite and Figma.

Leads the design, programming, and operational execution of dynamic live graphics for Yahoo Sports digital programming. Owns Flowics-based graphics systems, live data integrations, AI-assisted workflows, sponsorship integrations, YouTube creative, and graphics support for major sports events. Collaborates with production, engineering, sales, and creative teams to deliver reliable, visually engaging, data-driven experiences while improving scalability, automation, and operational efficiency.

Leads engineering teams responsible for Blackbaud’s enterprise Data and AI platform. Owns lakehouse architecture, ingestion, transformation, feature services, ML enablement, reliability, governance, security, cloud migration, and cost optimization. Establishes technical strategy, roadmaps, metrics, and operational standards while partnering with Product, Data Science, Analytics, Architecture, and Security. Hires, mentors, and develops platform engineers and influences data and AI engineering practices across the organization.

Identify and develop B2B sales opportunities for technical products and software solutions. Engage business clients, understand their needs, present value propositions, manage the complete sales cycle through closing, maintain CRM records, achieve sales targets, and build lasting client relationships. The role requires strong English communication, technical product understanding, negotiation skills, independent work, and permanent night-shift availability.

Build and deploy machine learning models that personalize insurance products, analyze product data, design experiments, and measure model impact. The role owns the full data science lifecycle, including data wrangling, production coding, model monitoring, retraining, and experimentation. Responsibilities also include cross-functional collaboration, code reviews, mentoring data scientists, and improving platform practices.