Top Tech Jobs & Startup Jobs in Sacramento, CA

Design, implement, and optimize enterprise data architecture and management for healthcare analytics. Lead data solutions using Microsoft Fabric and Power BI, ensure data governance, integrate imaging and EMR systems, troubleshoot ETL/SSIS, manage projects, mentor staff, and ensure HIPAA-compliant data practices.

Lead a team supporting Epic analytics and clinical/operational systems. Oversee daily operations, project coordination, testing, reporting, data governance, staffing, training, and vendor interactions. Design scalable data models and pipelines (Microsoft Fabric, SQL Server, Power BI), ensure data quality, and present findings to executive stakeholders while maintaining system availability and compliance.

Provide empathetic, high-volume phone and ticket support for trucker customers during evening/overnight ET shifts. Troubleshoot issues in real time using Zendesk, Slack, and internal systems, maintain organization under pressure, and drive excellent customer outcomes.

The Customer Support Specialist at Mudflap provides exceptional support to truckers, helping them save on fuel costs while ensuring a high-quality customer experience in a fast-paced environment.

Lead architecture and delivery of enterprise DDI solutions (Infoblox-focused) including migrations, upgrades, re-architecture, and lifecycle engineering. Produce design artifacts, testing and cutover plans, and guide long-term DDI strategy. Support pre-sales with demos, discovery, POCs, solution design, and RFP/RFI responses while partnering with Account Executives to capture new business.

Hunt and close new enterprise accounts (1000+ employees) in the Northeastern US. Lead full sales cycle from prospecting to close, deliver demos and tailored proposals, collaborate with marketing/sales engineering/product, expand existing customers, and travel periodically. Hybrid role (3 days/week in Boston or NYC).

Remote Gulf Coast territory sales role responsible for generating new business, managing key accounts, growing sales of chemical treatment and manufactured products, collaborating with R&D, tracking sales activity, and traveling up to 25%. Requires prospecting, negotiation, technical on-site testing, and strong customer-focused relationship management.

Remote Midwest-based sales role responsible for growing and managing chemical treatment accounts. Generate leads, prospect, cold-call, close new business, manage key accounts, collaborate with R&D, perform on-site testing, track sales activity, and travel up to 25%. Must live in specified Midwest states and have chemical/industrial sales experience, including soda ash.

Lead enterprise liquidity management and corporate cash forecasting. Improve and integrate forecasting models and data sources, aggregate internal and vendor cash data, perform back-testing, and partner with Finance, Treasury, FP&A, Controllers, and business lines to optimize cash and reporting.

Design, build, and optimize AI-driven customer success automations using no-code/low-code tools and LLM APIs. Identify use cases across the customer lifecycle, integrate solutions with enterprise platforms, apply prompt engineering and RAG patterns, monitor performance, and collaborate cross-functionally to scale AI-enabled workflows while maintaining responsible AI practices.

Manage day-to-day global compensation and equity programs: maintain salary structures, run market benchmarking, administer equity grants, support annual cycles, build reports, partner with People, Finance, and Legal, and ensure pay equity and compliance.

Own monthly reconciliation, reporting, and compliance for Givzey and Version2.ai. Build and present financial forecasts and KPI-driven reports to CEO and Board. Manage AP, invoicing, collections, cap tables, 409A valuations, tax compliance, commission reporting, vendor onboarding, audits, contracts, and software license/insurance reviews.

Lead a multi-team platform org owning infrastructure, data, developer experience, and AI tooling. Manage managers, set platform roadmap and architecture trade-offs, drive adoption of paved roads/golden paths, ensure SLAs/SLOs and incident readiness, and partner cross-functionally to balance reliability, tech debt, and developer productivity.