Top Tech Jobs & Startup Jobs in Sacramento, CA

Lead SNHUs enterprise digital accessibility strategy, build and manage cross-functional teams, establish policies and review processes, oversee audits and assistive technology, train stakeholders, and report progress to senior leadership to ensure WCAG-compliant digital experiences and inclusive access.

Drive end-to-end enablement for internal technology initiatives—especially AI tooling—by planning rollouts, change management, training, documentation, and dashboards. Monitor adoption and feedback, iterate enablement materials, partner with product/engineering/GT M and BizTech, and deliver measurable outcomes like increased adoption and reduced support load.

Lead delivery and customer relationship for large, multi-site automation programs (typically >$60M). Own end-to-end project execution, cross-functional coordination, financial and risk management, and governance. Mentor project teams, drive operational excellence, and ensure integrated delivery of MHE, robotics, controls, software, commissioning, and go-live activities.

Build and own Bloomerang's AI harness and platform services: agent workflows, tool/model integrations, orchestration, evals, and guardrails. Ship backend services (authentication/identity) primarily in C#/.NET, diagnose distributed systems issues, improve developer tooling and observability, run model evaluations, and lead responsible AI adoption to increase engineering throughput and deliver measurable product outcomes for nonprofits.

Hunt and close new enterprise accounts for IT Asset Disposition and lifecycle services by building executive relationships, managing complex sales cycles, delivering executive presentations, responding to RFPs, and collaborating cross-functionally to exceed revenue targets.

Develop and articulate tailored occupier solutions for major pursuits, support proposal and RFP development, align cross-functional teams, translate client needs into scalable solution frameworks, participate in pursuit strategy and client meetings, and leverage market intelligence and AI tools to enhance proposal quality and speed.

Translate business requirements into implementation artifacts, document current and future-state workflows, and support end-to-end delivery of use cases. Assist with implementation plans, stakeholder communications, training, change management, go-live stabilization, KPI/SLA tracking, and post-implementation reviews. Maintain trackers, issue logs, and support continuous improvement. Role may require extensive travel to client sites.

Translate operational requirements into solution designs, process maps, and implementation plans. Conduct current-state assessments, support implementation and stabilization, define KPIs/SLAs, manage stakeholder communications, change management, and risk/issue mitigation while partnering with process engineers and cross-functional teams.

Lead creative strategy and build scalable AI-powered creative systems for performance marketing. Design static and video ads, run experimentation across major acquisition channels, analyze results with performance tools, and optimize creative workflows and templates to drive acquisition at scale.

Own and execute social strategy and content for ElevenLabs and ElevenCreative across major platforms; record and edit short-form video, manage Discord community, coordinate cross-functional content, track analytics, and iterate on formats to drive engagement and product visibility.

Partner with Sales, Customer Success, Finance, and Data to improve EDU GTM operations. Own Salesforce and GTM system configuration, data quality, reporting, and automation. Lead process improvements, run audits and reconciliations, build dashboards and analytical models, support deal operations and booking closes, and drive cross-functional projects to increase growth, retention, and field productivity.

Lead a team of ML engineers to design, build, and productionize LLM/GenAI and agentic systems (retrieval, tool use, orchestration). Collaborate cross-functionally with MLOps, product, and data science, review code, mentor engineers, run technical evaluations and proofs-of-concept, and ensure reliable, safe ML deployments for a large SaaS product.