Top Remote Entry Level Jobs in Sacramento, CA

Leads the GTI engineering team, managing people, delivery, architecture, code quality, releases, production health, and on-call operations. The role remains hands-on, requiring contributions across C#/.NET services, TypeScript/React frontend systems, SQL Server, Azure infrastructure, CI/CD, observability, and testing. The manager partners with product, design, and tax content teams to ship reliable tax and regulatory software on schedule.

Leads Unanet’s internal data strategy and architecture for enterprise AI. Defines the shared data foundation, target architecture, governance standards, roadmap, and reusable approaches for AI assistants, agents, and workflows. Evaluates platforms and integration options, validates technical solutions, and coordinates IT, Security, Legal, Engineering, business owners, and system specialists. Advises senior leaders, establishes data quality and stewardship requirements, and helps determine when data is ready to support scalable AI initiatives.

Verifies life and health insurance applications through outbound calls, documents information for underwriting, explains application procedures, assesses additional verification needs, completes paperwork, updates quality assurance records, transfers calls, and meets departmental performance targets.

Build and lead Babylist’s customer support enablement program from the ground up. Own the knowledge base, SOPs, training, AI copilot workflows, and feedback systems supporting human and AI agents. Analyze support data to identify documentation gaps, improve chatbot coverage and resolution rates, increase copilot adoption, and reduce escalations. Partner cross-functionally with Customer Support, BizOps, Product, Analytics, and engineering-adjacent teams to establish scalable, AI-native support operations.

Lead hands-on product security architecture across GitLab, including design reviews, threat modeling, systemic risk remediation, security standards, prototypes, and reusable developer guardrails. Partner with engineering and product leaders, secure distributed systems and software supply chains, guide AI coding tool security, mentor security engineers, and influence technical direction through proactive architecture and clear communication.

Develop data science solutions for payments across Square and Cash App. Build AI-powered tools, ETL pipelines, dashboards, machine learning models, experiments, and cloud data systems. Partner with Product, Engineering, Finance, and Operations to improve payment success, cost efficiency, risk mitigation, and decision-making. Translate business needs into practical solutions, research questions independently, and operationalize data processes and infrastructure.

Support Xero’s partner sales channel by guiding accounting and bookkeeping practices through onboarding, data migration, software implementation, and activation. Deliver one-on-one and group training on Xero and related products, manage stakeholder expectations, schedule virtual and on-site sessions, maintain Salesforce records, and create self-service resources. The role requires frequent travel to partner practices and strong accounting, communication, presentation, and relationship-building skills.

Develop data tools, AI automations, ETL pipelines, dashboards, and machine learning models for payments. Analyze experiments, optimize payment performance and costs, mitigate risk, maintain data systems and cloud infrastructure, and translate business needs into actionable solutions while partnering with Product, Engineering, Finance, and Operations.

Own the vision, strategy, and roadmap for Vercel’s Dashboard, evolving it into a personalized, agent-powered control plane. Define agent interactions, proactive insights, information architecture, and cross-product design patterns. Partner with engineering and product teams to optimize performance and consistency, while running experiments and analyzing onboarding, adoption, and engagement metrics. The role requires experience building developer-facing dashboard or control-plane products, with strong product design, analytics, and AI perspectives.

Designs and maintains large-scale production infrastructure across Linux, Windows, VMware, OpenStack, Docker, and Kubernetes environments. The role administers bare-metal servers and virtual machines, develops automation using Python, Go, and PowerShell, troubleshoots hardware and virtualization issues, and supports incident response through an on-call rotation. Responsibilities also include technical architecture, networking, configuration management, documentation, post-mortems, and applying AI tools to improve operational workflows.