Top Tech Jobs & Startup Jobs in Los Angeles, CA

Drives revenue and profitability by managing strategic customer relationships, developing new business, leading complex negotiations, finalizing contracts, and exceeding sales targets. Acts as a trusted advisor to clients, understands their IT priorities, coordinates pre- and post-sales teams, analyzes sales metrics, and represents the company at industry events. The role requires extensive customer engagement outside the office, strong consultative selling, account management, business development, and relationship-building skills.

Lead presales architecture and engineering for scalable data platforms using Microsoft Fabric and Azure. Responsibilities include client discovery, solution design, technical workshops, proposals, roadmaps, SOWs, demonstrations, and proof-of-concepts. Design data pipelines, warehouses, lakes, streaming architectures, and AI/ML infrastructure while advising on performance, governance, CI/CD, and infrastructure as code. Serve as a trusted technical advisor and Microsoft Fabric subject matter expert while collaborating with sales, governance, and AI architecture teams.

Designs and implements software-defined data center and private cloud infrastructure for enterprise customers. Leads VMware VCF, automation, virtualization, storage, networking, disaster recovery, backup, migration, and upgrade engagements. Provides low-level architecture and hands-on deployment, leads customer projects and workshops, supports presales scoping and statements of work, and mentors consultants. The role is remote with occasional travel and requires VMware Cloud Foundation certification plus extensive infrastructure and VMware experience.

Lead the technical side of Snowflake pursuits, including customer discovery, platform architecture, migration planning, effort and risk sizing, proposals, and Statements of Work. Provide architectural oversight through delivery, shape repeatable Snowflake service offerings, and partner with Snowflake field teams. The role requires deep expertise in Snowflake platform architecture, enterprise migration and consolidation, data engineering, governance, semantic layers, and consumption economics, along with principal-level technical leadership and presales experience.

Lead the technical side of Databricks pursuits, including discovery, target architecture, estimation, proposals, migration strategy, and risk assessment. Provide architectural oversight through delivery, shape repeatable Databricks offerings, and partner with Databricks field teams. The role requires deep expertise in lakehouse architecture, enterprise migrations, data engineering, production AI and machine learning, governance, consumption economics, and principal-level technical leadership.

Develop Python services, APIs, and AI-enabled production applications for enterprise use cases. Build data-centric solutions integrating enterprise systems, databases, external services, and AI techniques such as prompt orchestration, RAG, tool use, and agent workflows. Design scalable, secure architectures, implement authentication and authorization, contribute to React-based interfaces, and work across cloud and on-premises environments. The role also involves learning emerging technologies, collaborating with teams, and occasional customer-facing delivery.

The Presales Solutions Architect will consult with customers on platform engineering initiatives, design hybrid cloud solutions, lead presales technical discussions, and educate sales teams on technology. They will also keep up with industry trends and develop supporting materials for engagements.

Responsible for growing business by expanding product/services within existing accounts and developing new business. Duties include identifying needs, qualifying opportunities, and collaborating with support teams to achieve sales targets.

The Senior Data Engineer will develop data engineering solutions, manage ETL workflows, and establish a new data practice while collaborating with stakeholders.

The Sr. Solutions Architect - SDDC is responsible for implementing data center infrastructure automation, conducting design and deployment tasks, mentoring team consultants, and ensuring seamless integration with existing systems.