Top Remote Jobs in Santa Cruz, CA

Develops and enhances Oracle EBS asset, financial, and logistics modules for Defense Logistics Agency programs. Builds integrations, RICE-FW interfaces, conversions, reports, and automation for capitalization, depreciation, valuation, and accounting processes. Supports testing, troubleshooting, reconciliation, audit traceability, technical documentation, and data mapping. Collaborates with functional SMEs on A2R requirements and process flows while integrating Oracle EBS with external asset and logistics systems.

Build and scale highly available applications and services for Mux’s video platform. Develop customer-facing features across Elixir and Go backend services and React frontend applications, including billing, usage, identity, account management, webhooks, and alerting. Collaborate on technical roadmaps while solving distributed systems, concurrency, scheduling, scaling, and platform resilience challenges. Deploy complex applications using cloud platforms and Kubernetes.

Manage a portfolio of approximately 25 clients, owning relationships, delivery plans, onboarding, reporting, renewals, and account expansion. Partner with SEO, content, web, and paid media specialists to develop and present strategies, monitor performance, manage timelines and budgets, and translate results into business impact. Lead client check-ins, executive reviews, training, and sensitive relationship conversations while maintaining project workflows in Asana and client records in HubSpot.

The Financial Controller will oversee payroll, union reporting, month-end close, GAAP financial reporting, job costing, WIP accounting, budgeting, forecasting, cash flow, compliance, and financial analysis. The role supports cost management, administrative operations, and strategic decision-making while partnering with site leadership and Heritage Fencing executives. This fully remote position requires strong construction accounting experience, including percent-of-completion accounting, project-based financial management, and experience in high-growth environments.

Build Reco’s revenue enablement function from the ground up across AEs, SEs, BDRs, and CSMs. Own technical, sales, commercial, onboarding, customer success, competitive, and manager enablement. Develop playbooks, certifications, content systems, POV processes, MEDDPICC discipline, pricing and negotiation support, coaching programs, and AI-enabled enablement operations. Partner across Product, Research, Finance, RevOps, and the CTO organization to improve deal progression, adoption, renewal, and expansion.

The Account Executive will manage the sales cycle, drive business growth, and collaborate across teams to meet revenue targets while maintaining customer relationships.

Leads the strategy, lifecycle, financial performance, positioning, and growth of Arctic Wolf’s Endpoint Security portfolio. The role oversees product expansion, cross-sell opportunities, competitive analysis, M&A integration, and integration with managed security services. It also leads a global product management team, establishes product metrics and operating cadences, and represents endpoint strategy to executives, customers, analysts, and partners.

Drive new enterprise account acquisition and revenue growth across the San Diego territory. Responsibilities include prospecting, managing complex sales cycles, achieving quotas, qualifying opportunities, positioning cybersecurity solutions, building customer and partner relationships, and coordinating sales engineering, marketing, channel, customer success, and business development teams.

Provides hands-on cybersecurity engineering and advisory services for client environments. Designs, deploys, configures, and supports security technologies across infrastructure, cloud, networks, and endpoints. Performs vulnerability management, secure application development, risk management, incident response, firewall and SIEM/XDR reviews, and security architecture work. Develops documentation and playbooks, advises clients on compliance frameworks and best practices, evaluates emerging technologies, and partners with internal teams to improve security posture.

Designs and ships native iOS and Android features using Swift and Kotlin. Owns end-to-end mobile initiatives, aligns architecture and shared client contracts, maintains performance and app-size standards, translates product requirements into platform-appropriate implementations, and supports technical reviews, mentoring, pairing, and code quality across both platforms.

Build and maintain reliable data models, pipelines, metrics, dashboards, and self-service data products for Airbnb.org. Own data quality, testing, validation, incident response, and improvements to data assets. Partner with Marketing, Fundraising, Programs, Product, Data Science, and Engineering to translate business needs into trusted data solutions. Lead projects from ambiguous scoping through delivery, communicate technical tradeoffs, and mentor fellow data practitioners.

Lead the integrations product roadmap to build scalable, monetizable API-first and low/no-code offerings. Define API contracts, canonical data models, and integration standards; partner with architects and engineering; improve developer experience, packaging, and GTM alignment; benchmark competitors; prioritize AI-enabled automation; track success metrics; and act as the customer voice to drive adoption and platform scalability.

Lead end-to-end design strategy for StackAdapt’s AI experience, including generative interfaces, trust-building interactions, AI evaluation, and complex data-rich workflows. Collaborate with Product, Engineering, Research, Revenue, Client Services, and Leadership to deliver scalable experiences, establish design frameworks, connect decisions to business outcomes, and mentor designers. The role requires strong interaction design, prototyping, information architecture, AI product experience, strategic thinking, and cross-functional communication.

Build and deploy AI agent systems that automate complex business processes. Analyze workflows, design and configure agents, integrate AI with enterprise applications, develop connectors and APIs, and establish evaluation and monitoring systems. The role requires expertise in cloud AI services, LLMs, NLP, Python, integration platforms, conversational AI, RAG, vector databases, APIs, and SQL/NoSQL systems. The engineer will also explore emerging AI technologies and mentor junior developers and system administrators.