Top Remote Senior Level Jobs in San Diego, CA

Manages commercial insurance accounts by designing coverage programs, preparing proposals and applications, coordinating renewals and remarketing, advising clients on coverage and audits, supporting producers, resolving issues, maintaining carrier relationships, and pursuing referrals. Provides mentoring to customer service representatives while ensuring accurate, timely transaction processing and compliance with agency standards.

Drive profitable growth across assigned Federal territory by developing strategic customer relationships, creating new business, leading capture and cross-functional teams, advising on cloud, AI, cybersecurity, and infrastructure solutions, managing pipeline and forecasts, and ensuring successful transition to delivery.

Own growth strategy and execution for Fount, a legal technology product serving independent lawyers and small firms. Lead demand generation, content, conversion optimization, HubSpot automation, product marketing, sales enablement, experimentation, attribution, and closed-loop revenue analytics. Build a reusable growth operating system, collaborate cross-functionally, and personally execute priority initiatives in a lean environment.

Design high-fidelity visual experiences for a data-heavy B2B SaaS platform across web, mobile, email, and integrations. Improve typography, color, layout, information density, data visualization, and overall product quality. Build and extend the design system, translate rough concepts into polished designs, and collaborate with product, engineering, data science, media strategy, brand, marketing, customers, and executives. This is a hands-on individual contributor role focused on AI interfaces, incrementality, actionable insights, and complex data platforms.

Design, build, and evolve customer-facing backend services and public APIs for Chainguard’s platform. Own features end-to-end from technical design through rollout and iteration, partnering with Product and front-end teams. Develop reliable, observable cloud-native services consumed across multiple products, contribute to roadmap prioritization, and deliver iteratively in a remote startup environment.

Leads enterprise AI transformation initiatives from problem framing through rollout. Translates transformation strategies into requirements, maintains capability maps, prioritizes workstreams, coordinates cross-functional execution, defines human-AI-system solution paths, and measures ROI and business value. Drives role redesign, change management, adoption, and executive reporting across multiple functions. Requires hands-on use of frontier AI tools, quantitative modeling, strong communication, and the ability to deliver ambiguous initiatives without formal authority.

Leads AI business solutions by connecting Product Engineering, Business Transformation, and business stakeholders. Manages solution intake, prioritization, roadmaps, user acceptance testing, release validation, feedback analysis, and adoption initiatives. Evaluates AI capabilities, prompts, context engineering, and agentic solutions while guiding analysts and senior analysts. The role also facilitates stakeholder communication, training, usability reviews, and cross-functional delivery of AI applications aligned with business priorities.

The Sr. Manager, Finance Systems Operations will enhance financial systems, manage data configurations, collaborate on system updates, and implement AI tools for improved financial processes.

Leads Americas revenue operations, including forecasting, pipeline hygiene, territory and quota planning, sales and partner operations, quote-to-order execution, reporting, analytics, and CRM transformation. Serves as the operational partner to the CRO, drives process governance and documentation, leads a regional team, and coordinates with global operations centers of excellence through systems implementations and organizational change.

Leads the architecture, development, and maintenance of scalable batch and real-time data pipelines, cloud data platforms, ETL/ELT workflows, and ML data infrastructure. Establishes standards for data quality, observability, lineage, governance, security, and modeling. Partners with data scientists, engineers, DevOps, and business stakeholders; evaluates technologies, drives technical initiatives, mentors engineers, and supports production-grade APIs and machine learning pipelines.