Top Tech Jobs & Startup Jobs in San Diego, CA

Identify, engage, and qualify prospective clients to build pipeline for sales leaders. Conduct outreach, manage leads and follow-ups in a CRM, create strong market impressions, and collaborate with sales, marketing, delivery, and partners.

Owner of micro-architecture and RTL lifecycle for complex digital blocks. Implement RTL in SystemVerilog/Verilog, drive control logic and IP integration, support sign-off (CDC, RDC, lint, synthesis), collaborate with DV teams for closure and debug, and take full project ownership with minimal supervision.

Lead RTL design and micro-architecture for complex digital blocks using SystemVerilog/Verilog. Implement control logic, integrate IPs, support SoC integration, and drive sign-off activities (CDC/RDC/lint/synthesis). Collaborate with DV teams for closure and debug and own the full project lifecycle with minimal supervision.

Serve as first point of contact for customer inquiries via ticketing, chat, email, and phone. Troubleshoot basic to moderately complex software issues, document cases, escalate to Tier 2 when needed, contribute to knowledge base, and maintain product knowledge while meeting service level expectations and driving CSAT.

Lead a ~10-engineer team to build and modernize cloud-native SaaS for marinas. Stay hands-on with Node.js/React/TypeScript code, drive architecture and migrations, enforce testing/observability/CI-CD, run incident response, recruit and coach engineers, and implement AI-assisted development practices aligned to product goals.

Lead and grow a ~10-engineer team building and modernizing cloud-native SaaS for RV and camping operators. Drive architecture, CI/CD, reliability, AI-assisted engineering practices, migrations from legacy to service-oriented systems, incident response, and measurable engineering KPIs while remaining technically hands-on.

Lead company-wide AI adoption and build an embedded engineering and product organization to ship AI-native internal tools. Own enterprise systems (CRM, ERP, HRIS, OMS, WMS), IT operations, security, data governance, and M&A systems integration. Partner with product and data leadership, set architecture and roadmap, and build a leadership team for IT, security, and internal systems to drive measurable efficiency and adoption across Finance, Revenue, People, Legal, Support, and Operations.

Provide customer service and operational support for order processing, scheduling, carrier communications, billing, and inventory using WMS and internal systems. Maintain account data integrity, prepare shipping documentation, track orders, and communicate status to customers and staff.

Lead and operationalize a multi-team product platform spanning modeling, simulation/optimization, and distributed computing. Set multi-year objectives, coach PMs in tradeoff decisions, own build-vs-partner strategy, manage UX design/research, coordinate handoffs between geometry, simulation, and ML, engage customers, and represent product on the leadership team.

Own the product roadmap and delivery for nTop's distributed computing capabilities. Lead discovery and build the first integration with MDO and cloud/HPC job systems, define headless execution UX, instrument usage metrics, and work with field engineers and GTM teams to validate requirements and drive adoption.

The Integration Specialist designs, develops, and supports enterprise integrations using Oracle Integration Cloud for secure data exchange between various platforms and applications.

The Marketing Account Coordinator manages client relationships, ensuring clear communication and fulfilling project requirements while meeting deadlines and maintaining quality control.

The Marketing & Executive Coordinator supports leadership by managing schedules, executing marketing tasks, and engaging with online communities. Responsibilities include social media content creation, CRM management, and tracking marketing performance metrics.

Remote SQL Developer responsible for developing and maintaining critical SQL code, schemas, ETL pipelines, and data transformations. Tasks include writing complex stored procedures, schema/index design, query tuning, backup/restore, processing varied source formats, validating data, supporting stakeholders, and contributing to data engineering tooling and deployment practices in an agile startup environment.

Design, build, and automate scalable batch and streaming data pipelines, implement data models and ETL, automate deployments, support ML/experimentation, maintain server architecture, and partner with stakeholders to deliver analytics and data-driven tools.