Top Tech Jobs & Startup Jobs in Sacramento, CA

Own and architect core AI pharmacy products, including prior authorization pipelines, Epic integrations, patient communications, and production agentic systems. Build hands-on software using LLMs, RAG, function calling, and evaluation workflows in a regulated healthcare environment. Set engineering standards, make architectural decisions, manage delivery across product milestones, and collaborate across teams to ship reliable solutions that improve pharmacy operations.

Own the product roadmap for AI-enabled data products, lead customer discovery with CPG and foodservice stakeholders, translate insights into requirements and priorities, and guide cross-functional delivery from concept through launch. Develop go-to-market and adoption plans, monitor product performance, manage risks, and communicate business impact. The role requires practical AI and machine learning fluency, strong customer research, commercial product management experience, and 20–30% travel.

Supports insurance compliance for commercial mortgage loans by reviewing policies, certifications, flood coverage, third-party reports, and lender requirements. Communicates with borrowers, brokers, agents, lenders, and internal teams to obtain documentation, identify coverage gaps, prepare compliance assessments, maintain servicing records, and escalate unresolved issues. The role also contributes to audits, waiver preparation, system testing, process improvements, reporting, and AI-enabled workflow enhancements.

Supports insurance compliance for commercial mortgage loans by reviewing policies, certifications, third-party reports, flood coverage, and blanket policy exposures. The role validates documentation against lender and investor requirements, identifies coverage gaps, prepares waivers and exception requests, maintains servicing records, communicates with borrowers and insurance stakeholders, and contributes to audits, system testing, process improvements, reporting, and AI-enabled workflow enhancements.

Administer and support Software AG ADABAS/Natural mainframe database environments, including upgrades, configuration, maintenance, monitoring, backups, restores, reorganizations, disaster recovery, performance tuning, and troubleshooting. The role manages database definitions, security, utilities, vendor relationships, documentation, client onboarding, and change control. It also provides scheduled 24x7 on-call support across large, multi-database customer environments.

Leads North American Product Success, defining its strategy, operating model, talent standards, customer onboarding, product health, usage analytics, and revenue motions. Owns retention, renewal, expansion, adoption, NPS, and forecasting outcomes while partnering with Sales, Customer Success, Product, and Product Marketing. Manages 5–7 leaders within an 80+ person organization and develops scalable, data-driven processes across a growing SaaS portfolio.

Supports internal communications through company-wide event messaging, newsletters, employee engagement content, team interviews, social media assistance, and communications effectiveness measurement. Collaborates with Marketing and Communications, People, and senior leadership teams to keep employees informed, connected, and engaged across the organization.

Leads Cast AI’s global marketing strategy, organization, budget, and operating model. Owns positioning, demand generation, pipeline, customer acquisition, product adoption, marketing efficiency, and revenue contribution. Builds an accountable, AI-enabled marketing organization spanning product marketing, digital, content, field, partner, lifecycle, customer, and marketing operations. Partners closely with executives, Product, Sales, Customer Success, and Revenue Operations across global markets.

Own enterprise sales across the San Francisco Bay Area, sourcing pipeline and managing complex, multi-threaded deals from discovery through close. Engage CTOs, engineering, FinOps, IT, Finance, and Procurement stakeholders; conduct opportunity assessments, demonstrate value, build ROI cases, negotiate, forecast accurately, and support value delivery with Customer Success. Requires enterprise sales experience, MEDDPICC expertise, technical fluency in cloud infrastructure and DevOps, and an outbound, builder-oriented approach.

The Senior Data Scientist will conduct product analysis, build advanced models and analytics tools, evaluate A/B tests, develop automated dashboards, and generate recommendations for product strategy. The role partners with business stakeholders and Engineering to improve data infrastructure and governance, communicate statistical insights, and support data-driven decisions across Product, Marketing, and Finance.

Serve as a senior technology advisor and engineering contact for multiple clients. Assess environments, platforms, infrastructure, security, compliance, and vendor proposals; provide actionable recommendations and executive briefings. Deploy, configure, and troubleshoot servers, applications, integrations, identity systems, and cloud infrastructure. Apply CMMC, NIST 800-171, and CIS Controls, identify risks and remediation priorities, produce client deliverables, and coordinate with internal IT Operations, SOC, and GRC teams.

Defines and markets integrated technical solutions between VAST and technology alliance partners. Creates reference architectures, whitepapers, solution briefs, deployment guides, demonstrations, and enablement materials. Serves as a technical subject matter expert for sales, partners, and enterprise customers; supports RFPs, campaigns, training, events, and webinars. Collaborates with product, engineering, alliance, and partner teams to shape messaging, validate solutions, gather customer insights, and influence product direction.