Top Tech Jobs & Startup Jobs in Sacramento, CA

Design, implement, and optimize complex Appian BPM solutions, focusing on performant expression rules, interfaces, and process flows. Mentor junior developers, perform peer reviews, unit test, deploy via Atlassian toolchain, and collaborate with analysts and QA to resolve defects.

Lead and coordinate SaaS and software projects using Agile and traditional methodologies. Manage project documentation and tracking in Jira/Confluence/Portfolio, perform process analysis and improvements, coordinate cross-functional teams (Security, QA, DBA, DevOps), run meetings and status updates, support stakeholder communication, and assist in resolving complex program issues while driving organizational change.

Manage and orchestrate containerized applications on AWS EKS. Design and implement Kubernetes deployments, automate deployments and scaling, monitor cluster health, troubleshoot issues, support CI/CD pipelines, enforce security best practices (network policies, disaster recovery), and collaborate with development teams to optimize containerized microservices.

Lead enterprise-level Medicare Stars forecasting and cutpoint analytics. Design statistical and ML/time-series models, build end-to-end Snowflake/Python/SQL pipelines, integrate LLM-enabled analytics, produce executive dashboards, and partner with Product, Clinical, and Quality leaders to translate forecasts into business strategy and risk mitigation.

Senior individual-contributor leading end-to-end analytics for Medicare Stars: designing forecasting and performance models, building enterprise dashboards (Tableau/Looker), implementing GCP data solutions, ensuring data quality, and delivering executive insights to drive Stars performance and business impact across clinical, product, and data teams.

The Senior Data Engineer will design and maintain scalable cloud-native data pipelines, develop APIs, implement advanced analytics, manage AI workflows, and enhance data operations collaboratively.

Lead technical design and delivery of enterprise AI solutions (generative AI, RAG, agentic AI, predictive models). Own architecture, deployment, responsible AI standards, vendor evaluations, prototyping, CI/CD/LLMOps, monitoring, and mentor engineers while aligning solutions to business outcomes and regulatory best practices.

Design, build, test, and deploy production AI solutions (predictive models, generative AI, RAG, agents). Integrate models into APIs/microservices, maintain data pipelines and LLMOps/AgentOps, ensure Trust & Safety, monitoring, and compliance, prototype new capabilities, and collaborate with product, engineering, and design to deliver reliable, explainable AI features.

Lead capital raising transactions, manage investor and banker relationships, build financial and operating models to support strategic decisions and M&A, and prepare board and management reporting. Drive cross-functional initiatives, leverage AI tools to improve workflows, and support high-visibility finance projects.

Lead capital raising, investor and banker relations, strategic finance modeling, and board/management reporting. Build and execute debt/equity transactions, manage investor diligence and reporting, and develop financial analyses to support strategic decisions across cross-functional teams. Leverage AI tools to improve workflows and reporting for a high-autonomy, fast-paced corporate finance function.

Lead strategic, hands-on Professional Services engagements to integrate LaunchDarkly into AI-powered systems. Implement feature-gated AI rollouts, guardrails, kill switches, and experimentation; build reference implementations and production integrations; advise engineering and platform teams; gather requirements and escalate complex issues; share feedback with Product and Engineering.

The Staff Data Engineer will lead financial data operations, ensuring accuracy and reliability of data pipelines, while collaborating with Finance, Product, and Engineering teams to enhance systems and decision-making processes.

Design, scale, and optimize end-to-end go-to-market processes across Sales, SDRs, and Marketing. Lead cross-functional initiatives to reduce friction, improve lead-to-opportunity workflows, translate strategy into executable plans, document current and future state, support systems enhancements (UAT, ticketing, release readiness), and drive prioritized revenue-impacting changes using data and stakeholder collaboration.

Build and operate Go backend services for a non-custodial KMS powering embedded wallets. Implement key recovery, distributed key generation, TEE integrations, authentication and signing-provider flows, security review and hardening, and production operations on Kubernetes, including observability, secrets/certificate management, and compliance controls.

Lead development and execution of global demand generation strategy using ABM and multi-channel campaigns (email, digital ads, social, webinars, events, content). Align with sales to drive pipeline and revenue, leverage data and analytics for optimization, manage budget, and collaborate on audience-specific content and market research.

Lead strategic enterprise sales cycles with Fortune 500 executives, navigate complex buying committees, build predictable pipeline, execute value-based selling, and close high seven- to eight-figure deals while partnering cross-functionally to drive revenue growth.

Serve as a trusted advisor to enterprise Sales, Marketing, and Revenue Ops leaders to drive adoption, retention, renewals, and expansion. Manage a $5M+ book of business, build strategic success plans with ROI metrics, partner cross-functionally, advocate customer needs into the product roadmap, and deliver customer marketing (case studies/references).