Top Tech Jobs & Startup Jobs in Los Angeles, CA

Drive enterprise SaaS sales through prospecting, pipeline management, customer discovery, implementation guidance, adoption, expansion, and paid conversion. Build relationships with named accounts, identify decision-makers, gather requirements, communicate use cases, collaborate with Growth, Product, and Engineering, and maintain CRM data. The role requires strategic, entrepreneurial, autonomous, customer-centric selling and an established record in SaaS, IT, or B2B technology sales.

Supports pre-sales opportunities by translating customer requirements into technical solutions, leading demos and technical evaluations, designing permission schemas and proofs of concept, troubleshooting demonstrations, and collaborating with account executives, product, and engineering teams. The role requires backend programming, database, cloud, Kubernetes, API integration, and architecture expertise, plus strong customer communication. Travel is typically 3 to 4 days per month for customer visits and team offsites.

Lead end-to-end implementations of investigative case management SaaS solutions, serving as the primary customer contact from contract signing through launch and early adoption. Responsibilities include project management, requirements gathering, product configuration, integrations, data migration, user training, risk management, stakeholder communication, and post-launch improvement. The role collaborates with Product, Engineering, and Support while analyzing customer outcomes and refining scalable implementation processes.

Sources, qualifies, and signs home improvement contractor partners for GoodLeap’s financing programs. Manages inbound and outbound prospecting, explains financial products and legal agreements, coordinates account handoffs, and collaborates with business development leaders to support partner growth. The role also improves sales processes, develops persuasive proposals and presentations, provides business intelligence-driven guidance, and engages executive stakeholders on new and existing programs.

Own the full sales cycle for Longeye’s AI-powered investigative workspace, selling to police and sheriff’s departments. Responsibilities include prospecting, cold outreach, networking, referrals, product pitches, demonstrations, ROI-based selling, contract negotiation, and on-site customer training. The role requires building a pipeline independently, explaining AI technology to law enforcement leaders, and leveraging an existing public safety network to close contracts.

Provides high-volume, multichannel B2B SaaS customer support through messaging, email, webinars, and video calls. Troubleshoots billing and technical issues, explains product functionality, documents conversations, escalates defects, and partners with Product, Engineering, Customer Success, and Sales. The role also develops support documentation, identifies process improvements, creates workflow automations, and uses Claude and other AI tools to improve productivity.

Drive new business among Fortune 500 brands by prospecting, closing, and managing new-logo accounts. Build client and partner relationships, develop account strategies, collaborate with engineering, product, and account management teams, report sales progress to the VP of Sales, and represent Tunnl at industry events. The role carries an estimated annual sales quota of $500,000–$750,000.

Designs and implements customer solutions using conversational and agentic AI products. Responsibilities include analyzing business needs, consulting with technical and business teams, improving AI assistant experiences, providing training and best-practice guidance, supporting escalations, building customer relationships, and reporting product feedback. The role requires Turkish and English fluency, business analysis or solution consultancy experience, and familiarity with conversational AI, speech technologies, data tools, SQL, APIs, or LLMs.

Provides technical direction and hands-on engineering for connected products and cloud platforms. Defines system architecture, data models, integration patterns, technical roadmaps, and device-to-cloud designs. Leads modernization, reliability, security, observability, CI/CD, infrastructure, incident response, and disaster recovery efforts. Partners across engineering, product, science, quality, IT, DevOps, and external vendors while mentoring engineers and guiding architecture decisions involving cost, scalability, security, and customer impact.

Maintain and support Java-based healthcare SaaS applications across multiple customer environments. Responsibilities include bug fixes, feature delivery, refactoring, deployments, security remediation, SQL and data migrations, code reviews, configuration improvements, and production support. The role requires a generalist software engineer comfortable with Java, Angular, SQL, REST APIs, enterprise applications, and customer-facing environments.