Top Tech Jobs & Startup Jobs in Los Angeles, CA

Manages OEM service contracts, including renewals, contract consolidation, quoting, true-ups, reporting, and customer profile maintenance. Coordinates with account teams, procurement, finance, OEM partners, and customers to ensure accurate orders and timely renewal bookings. Maintains expertise in service contract processes, policies, tools, and reporting while supporting internal teams, communicating renewal statuses, and identifying process improvements.

Leads and develops a team of Customer Success Managers supporting long-term enterprise service engagements. Owns client relationship health, escalations, QBRs, issue resolution, risk mitigation, renewals, and expansion support. Oversees Gainsight workflows, reporting, process improvement, client experience strategy, voice-of-customer initiatives, and ServiceNow self-service presence while partnering with sales, delivery, operations, and account teams.

Leads end-to-end delivery of complex, multidisciplinary technology programs spanning infrastructure, cloud, data, security, and platform domains. Partners with executives and cross-functional engineering, consulting, architecture, and operations teams to align priorities, manage risks, translate business objectives into technical strategies, and deliver measurable outcomes. Provides technical guidance, strengthens governance and execution standards, mentors leaders, and advances automation, delivery predictability, and operational excellence.

Design, develop, and maintain data pipelines, ETL processes, integrations, data infrastructure, and complex data models. Build and support data warehouses and analytics solutions using SQL, PL/SQL, Oracle, Snowflake, and cloud technologies. Collaborate with analysts, architects, developers, data scientists, and business stakeholders throughout the delivery lifecycle. Provide production support, troubleshoot issues, tune database performance, and contribute to data-driven reporting and AI tools.

Drive profitable growth for WWT’s Workforce AI portfolio by building pipeline, leading consultative customer engagements, shaping AI solutions and business cases, and orchestrating sales, consulting, technical, OEM, channel, and delivery teams. The role guides customers through enterprise AI platform selection, buy-versus-build decisions, adoption planning, governance, security, and production deployment while managing complex pursuits, partner relationships, executive presentations, negotiations, and market enablement.

Serve as a technical advisor for enterprise adoption of Claude Cowork. Lead executive discovery, workshops, demonstrations, use-case design, proof-of-value plans, adoption roadmaps, governance guidance, and responsible AI enablement. Translate customer needs into measurable productivity and business outcomes while collaborating with sales, engineering, delivery, and customer success teams. Develop reusable AI assets, prototypes, solution concepts, proposals, and integration strategies involving APIs, workflow automation, and enterprise systems.

Develop and support full-stack software and database applications across legacy and modernized systems. Integrate AI capabilities using LLMs, agents, and automation; promote responsible AI adoption; and contribute to platform quality, resiliency, testing, releases, and sprint planning. Provide post-production support, participate in on-call rotation, mentor team members, and collaborate with product teams to deliver scalable solutions for WWT’s sales organization.

Lead architecture and design of scalable, distributed systems; research and drive complex multi-technology solutions; develop prototypes; conduct technology assessments and dependency mapping; communicate decisions to technical and C-level stakeholders; provide technical leadership and mentoring across multiple teams; support digital transformation roadmaps and implementation planning.

Develops and deploys production AI and ML solutions in client cloud and on-premises environments. Builds Kubernetes and GPU infrastructure, model-serving platforms, ML pipelines, CI/CD, observability, guardrails, and cost controls. Collaborates with data scientists, engineers, and clients from scoping through delivery, mentors teammates, creates reusable architectures, supports pre-sales, and advises on emerging AI technologies.

Provide technical pre-sales support for VMware and Nutanix virtualization solutions. Lead customer workshops, executive briefings, and technical advisory engagements; develop reference architectures and marketing collateral; train employees and partners; support co-selling and field sales; collaborate with services, architecture, and sales teams; and maintain required vendor certifications.