Top Tech Jobs & Startup Jobs in Los Angeles, CA

Supports consumer marketing campaigns for Greenbrook Mental Wellness Centers and NeuroStar, including social media, email, blog, SEO, newsletters, reputation management, patient advocate recruitment, and marketing operations. Coordinates vendors, reviews marketing materials for compliance, manages digital listings, tracks campaign performance, and provides insights to leadership. Requires collaboration across corporate and regional teams while maintaining healthcare and regulatory standards.

Owns the customer journey for single-location auto repair shops from contract signing through the first six months. Responsibilities include onboarding, account setup, data migration, customer training, product adoption, usage monitoring, risk and escalation management, documentation, and collaboration with Sales, Support, and Product. Success is measured through customer activation and retention.

Leads the Testing Logistics Services project management function, overseeing Project Managers across a portfolio of VA testing and modernization initiatives. Responsibilities include portfolio planning, resource allocation, governance, project health monitoring, risk and dependency management, executive reporting, stakeholder partnership, team leadership, coaching, and continuous improvement. The role requires managing complex technology portfolios, aligning delivery with customer priorities, and improving project management standards and performance.

Manage luxury travel clients and partner agencies by creating bespoke tropical itineraries, converting leads into bookings, exceeding sales targets, resolving issues, and maintaining detailed CRM records. The role requires strong relationship-based sales, destination expertise, organization, problem-solving, and knowledge of Caribbean and tropical travel.

Leads the establishment and day-to-day operation of CTI’s Pune AV office. Responsibilities include setting up processes, overseeing AV rack building and equipment readiness, managing vendors, suppliers, facilities, budgets, and teams, coordinating with engineering, sales, service, installation, project management, and international teams, and ensuring efficient, high-quality project delivery while supporting long-term business growth.

Designs and maintains data models, AI solutions, marketing automation architectures, and governance frameworks that support segmentation, targeting, and go-to-market efficiency. Advises marketing teams on data-driven strategies, builds MCP servers and LLM-based solutions, develops innovation roadmaps, and partners cross-functionally on adoption. The role also mentors team members and requires production-quality Python, API development, marketing automation, analytics, and modern cloud deployment experience.

Own and scale strategic alliances with AWS, Microsoft, and Google Cloud. Drive cloud marketplace strategy, private offers, co-sell motions, partner programs, joint go-to-market campaigns, and cloud-sourced pipeline. Build relationships with cloud sellers, reseller and MSP partners, and internal sales teams to accelerate procurement and deals. Track partnership KPIs, marketplace transactions, pipeline influence, and partner engagement.

Design, implement, and operate infrastructure for high-scale production systems serving millions of users. Own reliability, observability, incident response, deployments, capacity planning, cost management, and operational excellence across bare-metal and cloud environments. Develop automation and performance tooling, improve production readiness, manage vendors, lead incident reviews, and mentor engineers on reliability and distributed-systems practices.

Develop, configure, monitor, troubleshoot, and support healthcare data interfaces connecting EHR systems to health information exchange solutions. Responsibilities include HL7v2, FHIR, and C-CDA integration, onboarding data sources, interface migrations, SQL-based data analysis, documentation, QA, system upgrades, performance monitoring, and customer/vendor coordination.

Researches, designs, develops, deploys, integrates, evaluates, and tests AI/ML and Generative AI solutions for mission-focused applications. Builds LLM-based systems using retrieval-augmented generation, agentic workflows, cloud services, and AI/ML frameworks. Participates in the full software engineering lifecycle, collaborates with distributed Agile teams, and communicates technical concepts to technical and non-technical stakeholders.