Top Tech Jobs & Startup Jobs in San Diego, CA

Lead enterprise Operational Excellence by partnering with senior leaders to deploy Lean systems, drive cross-functional process improvements (safety, quality, productivity, cost), scale AI and intelligent automation, manage the OE project portfolio, coach and mentor teams, and embed measurable KPIs and sustainable continuous improvement capabilities.

Manage corporate insurance programs, underwriting submissions, exposure/TIV schedules, contractual risk transfer, and claims support for energy and digital infrastructure projects. Coordinate with internal teams and external brokers/insurers to optimize coverage, validate valuations, support underwriting diligence, and improve company risk management practices across development, construction, and operations.

Lead strategy and execution for Scribd's Search product, defining multi-year roadmaps and metrics, partnering with ML, engineering, design, and analytics to ship ML-driven retrieval and ranking features that improve relevance, engagement, and conversion across large-scale consumer surfaces.

Own end-to-end equity plan administration (options, RSUs, ESPP), cap table reconciliation, and equity platform management. Partner with Legal, Finance, and HR on program design, SEC and exchange compliance, insider trading administration, transfer agent relationships, and corporate governance. Build scalable processes, support SEC filings from an equity data perspective, develop employee compliance training, and identify automation and process improvements.

Provide hands-on corporate legal support: draft and negotiate commercial agreements, manage corporate governance, support securities reporting and financing workstreams, implement legal templates and AI-enabled workflows, advise cross-functional stakeholders, and coordinate outside counsel.

Lead NetSuite and operations systems efforts including implementations, enhancements, training, and governance. Serve as subject matter expert for quote-to-cash, order-to-build, finance, inventory, and manufacturing modules. Partner with stakeholders to document requirements, improve processes, ensure SOX compliance, maintain data integrity, and drive automation and system optimization.

Provides high-level strategic and administrative support to the President & CEO, managing calendars, communications, travel, executive office operations, meetings, projects, confidential records, and stakeholder engagement to enable executive priorities and organizational goals.

Build, maintain, and optimize Python-based ETL pipelines and Azure SQL Server data warehouse; integrate EHR/CRM/HR/call center feeds; ensure HIPAA-compliant data handling; debug production issues; extend AI agents; ship version-controlled improvements.

Design, implement, and integrate embedded Linux software (applications, servers, drivers). Configure kernels and BSPs, perform feasibility and performance analysis, debug system-level issues from bootloader to user space, use Yocto and cross-compilation toolchains, and document designs. Collaborate with lab teams to bring up software on hardware.

Design, implement, and integrate embedded Linux software (applications, servers, drivers). Configure kernels and BSPs, perform feasibility and performance analysis, troubleshoot system-level issues, lead and mentor small engineering teams, define requirements, and manage project execution while collaborating across labs and documenting design alternatives.

The VP, Assistant General Counsel for Cybersecurity will serve as the lead advisor on cybersecurity legal matters, advising on regulations, incident response, and compliance within financial services.

Lead and maintain enterprise AI governance frameworks, perform AI risk assessments and gap analyses, define controls for AI development and deployment, ensure regulatory and standards compliance (NIST/ISO), collaborate with cross-functional stakeholders, produce executive-level materials, and support AI training and awareness.

The Senior AI Engineer builds complex backend AI modules, optimizes retrieval systems, manages deployments, and develops internal tools at Cadre AI.

Lead end-to-end AI transformation for a portfolio of 5–10 clients: define AI roadmaps, own delivery and P&L, manage client relationships and account growth, lead a cross-functional pod (≈5), drive adoption, run discovery/scoping/proposals, and ensure measurable business impact using AI, automation, and modern LLM capabilities.