Top Tech Jobs & Startup Jobs in Sacramento, CA

Lead a fully remote team of 25+ Medicare telesales agents to convert high-volume inbound calls into enrollments across Medicare Advantage, Supplement, Part D, vision, and dental products. Provide real-time coaching, monitor conversion and talk-time metrics, manage scheduling across 8am–8pm EST, ensure CMS compliance, partner with Quality/Compliance/WFM, and drive performance during Annual Enrollment Period (AEP).

Lead technical engagements for enterprise customers: deliver product demonstrations, gather technical requirements, design evaluations and test plans, configure custom solutions, and guide proofs-of-concept to successful outcomes for Exposure Management.

Sell Zscaler cloud-native Zero Trust solutions to commercial/private equity accounts. Build C-suite relationships, create long-term account strategies, collaborate with internal teams, act as trusted advisor, and drive net-new logo acquisition and quota attainment through direct and channel selling.

Senior sales engineer for Zscaler's Healthcare Zero Trust Branch. Deliver technical product presentations, gather customer requirements, lead product evaluations and custom configurations, and design evaluation test plans to drive successful cloud-native Zero Trust deployments.

Lead go-to-market and direct/indirect sales to health plans, TPAs, and strategic partners. Own strategy, close complex reseller and embedded deals, manage cross-functional stakeholder sales cycles, inform product roadmap, and meet/exceed revenue and pipeline targets.

Deliver and configure Adobe Workfront solutions for enterprise clients: administer environments, build dashboards/reports/forms/workflows, implement automations and integrations, ensure data governance and security compliance, optimize instances, and provide client-facing enablement and documentation to support billable engagements.

Lead and grow a distributed engineering team to build and scale AI platforms and agents for healthcare. Own technical strategy, data/retrieval/semantic architectures, ML model serving and MLOps, and deliver HIPAA-compliant, cloud-native systems in partnership with Product, Data Science, and Clinical teams.

The Staff Machine Learning Engineer will lead ML initiatives, develop ML systems, collaborate with cross-functional teams, and mentor junior engineers to optimize healthcare intake workflows using advanced machine learning techniques.

Lead product work for Lob's mail logistics platform with an initial focus on finance projects (usage billing, pricing simulations, discounts). Drive roadmap strategy through user research, translate technical insights into customer outcomes, manage delivery, document accounting SOPs, train teams, mitigate risks, and champion AI to streamline product design and QA while communicating clearly with technical and non-technical stakeholders.

Lead design and implementation of a unified event-tracking data platform. Collaborate with Data, Product, and Engineering to build reusable event-publishing frameworks, monitoring/alerting, and deprecate legacy systems. Coach mid-level engineers, influence roadmap and processes, manage cloud/SaaS spend, create documentation, and participate in on-call rotations to ensure platform reliability and data trustworthiness.

Own quota and drive revenue for Garner’s Insights and Referrals products by selling into healthcare delivery organizations and digital health companies. Execute full sales cycle—prospecting, discovery, positioning, contracting, and closing—while managing pipeline forecasting. Collaborate with SVP and cross-functional teams to inform go-to-market, enablement, and product roadmap through structured market feedback. Individual contributor role with occasional travel to HQ.

Design and build scalable, audit-ready backend and full-stack systems for Upstart Bank. Own technical design and delivery of medium-to-large projects, improve reliability, observability, and data consistency, and partner with product, compliance, and operations to deliver regulated fintech solutions.

Design, operate, and scale Kubernetes (EKS) clusters and AWS infrastructure using IaC and GitOps. Drive platform reliability, SLOs, incident response, developer experience improvements, and cost optimization while partnering with SRE, InfoSec, Delivery, and product/ML teams.

Design, build, and operate scalable, distributed event-driven systems that automate accounting close and capital risk workflows. Process high-volume financial events into reliable outcomes, lead multi-quarter engineering initiatives, improve reliability and maintainability, and partner with product, analytics, and finance teams.

Lead product security across the SDLC: threat modeling, secure architecture, vulnerability management, security testing and remediation, CI/CD/DevSecOps controls, AI security integration, bug bounty triage, developer training, and cross-functional security consulting to scale secure-by-design practices.

Lead and coordinate large, cross-team infrastructure platform programs from inception to delivery. Drive roadmap execution, manage dependencies and risks, communicate status to executives, and improve operational practices. Facilitate cross-team alignment, scrum-of-scrums, and partner with product and engineering leaders to ensure predictable, high-quality outcomes.

Lead delivery of FedRAMP High authorization and future regulated environments on a multi-tenant SaaS platform. Translate compliance controls into engineering work, manage evidence collection and audit readiness, coordinate Engineering/Product/Compliance, establish reusable control/evidence pipelines and governance, and transition to sustainment post-authorization.

Partner with Account Executives to lead technical conversations and demos, run Proof of Values, and articulate CrowdStrikes platform value to technical and executive audiences. Support pre-sales activities across endpoint security, cloud, identity, and AI-driven threat detection while learning and evangelizing new product capabilities.

Design, build, deploy, and iterate production-ready AI agents and LLM-based solutions that integrate with enterprise workflows. Rapidly prototype, evaluate, and optimize agents for performance, cost, and adoption. Partner across functions to redesign workflows, contribute to an AI Center of Excellence, and ensure responsible, secure, and scalable agent development.

Support global office construction and fit-out projects, coordinating stakeholders, schedules, budgets, vendors, and documentation from planning through closeout. Monitor quality, mitigate risks, review drawings/contracts, produce reports, and ensure projects meet brand, code, and budgetary requirements.