Top Tech Jobs & Startup Jobs in Sacramento, CA

Partner with ops, sales, and support to identify manual workflows and build AI-driven, agentic automation end-to-end. Architect, implement, deploy, and measure full-stack systems (backend, APIs, frontend dashboards) that reliably replace multi-step manual processes, optimize LLM costs, handle failure modes, and report business impact.

Drive partner onboarding, technical enablement, and adoption to ensure measurable value from Blackpoint's cybersecurity platform. Design multi-phase success plans, define KPIs, translate telemetry into business outcomes, provide technical recommendations, assess and mitigate retention risks, build executive relationships, and collaborate cross-functionally to improve product and processes.

Serve as a Cloud FinOps Success Manager advising Azure customers on billing, licensing, and cost optimization. Conduct business reviews, own post-sales relationships, document processes, define KPIs/SLAs, and deliver scalable FinOps onboarding, provisioning, reporting, and escalation practices to ensure high customer satisfaction.

Embed with customers to discover needs, design and implement production-grade integrations (APIs, data pipelines, event-driven workflows), deploy and troubleshoot solutions, train IT teams, and drive adoption and measurable business outcomes.

Support Account Managers by servicing clients, issuing certificates and ID cards, processing endorsements and billing, preparing renewal materials, maintaining exposure schedules, researching issues, setting up clients in EPIC, and ensuring accurate policy transmission and communication.

Design, build, and operate distributed, data-intensive backend systems and pipelines. Own production data infrastructure (streaming, batch, analytical stores), debug production incidents, participate in on-call rotations, partner with product and frontend teams, write/review architecture and code, and improve observability, reliability, and deployment practices.

Investigate and resolve customer production issues by analyzing SQL, data feeds (HL7/CSV), and Python code. Communicate status and root cause to customers, collaborate with Data Engineering and Product teams, document tickets in Jira, validate fixes with queries, and contribute to knowledge base and troubleshooting playbooks.

Support and maintain production Core Speech systems: deploy, monitor, alert, perform capacity planning, respond to on-call incidents, and drive system performance and architecture improvements.

Design, optimize, and operate production LLM inference and training pipelines. Improve latency, throughput, and GPU utilization using techniques like batching, quantization, FlashAttention, and kernel-level profiling. Deploy and autoscale multiple models on shared GKE GPU clusters, consult with clients on performance and cost requirements, and carry prototypes to robust, scalable production services.

Support, maintain, and administer IBM z/OS mainframe environments with emphasis on CICS and IBM MQ. Perform installations, upgrades, troubleshooting, performance tuning, security compliance, disaster recovery, change and incident management, documentation, and mentor junior staff.