Top Tech Jobs & Startup Jobs in Sacramento, CA

Build, deploy, secure, and operate full-stack enterprise applications with AI-enabled capabilities. Partner with business stakeholders to translate needs into production software, including LLM applications, retrieval-augmented generation, AI agents, integrations, and automation. Own applications throughout their lifecycle, including architecture, testing, CI/CD, monitoring, incident response, vulnerability remediation, modernization, and retirement. Collaborate with security, architecture, data, infrastructure, and product teams while establishing responsible AI controls and mentoring engineers.

Designs, builds, deploys, secures, and operates full-stack enterprise applications with AI-enabled capabilities. Partners directly with stakeholders to translate business problems into production software, prototypes, APIs, integrations, and intuitive user experiences. Develops LLM, RAG, agentic, and automation solutions with testing, evaluation, guardrails, observability, and security controls. Owns application lifecycles, including monitoring, incident response, vulnerability remediation, modernization, documentation, and continuous improvement. Requires strong full-stack, cloud, DevOps, application security, and AI engineering experience.

Evaluate and improve the safety, security, and robustness of large language models. Responsibilities include designing jailbreak, prompt injection, adversarial, and tool-use abuse tests; developing regression suites and evaluation frameworks; identifying vulnerabilities; translating findings into safety recommendations; and documenting methodologies and results for technical and non-technical stakeholders.

Red team conversational AI models and agents by probing jailbreaks, prompt injections, misuse cases, bias, and multi-turn manipulation. Annotate failures, classify vulnerabilities, apply testing frameworks and benchmarks, and produce reproducible reports, datasets, and attack cases. The role requires native English and Finnish fluency, prior AI or cybersecurity red teaming experience, strong communication, structured analysis, and adaptability across projects.

Analyze complex business problems, conduct market and competitive research, evaluate business performance, identify growth opportunities, and develop data-driven strategic recommendations. The role supports operational improvements, business transformation, and implementation initiatives through structured frameworks, financial analysis, presentations, reports, and executive-level communication. Candidates need 1–7 years of consulting experience, strong analytical abilities, excellent communication skills, and a degree from a top-ranked university.

Designs and deploys enterprise AI applications and Copilot Studio agents using Azure AI, Azure OpenAI, Python, and Power Platform. Builds RAG solutions, APIs, workflows, and responsible AI safeguards; integrates Microsoft 365 and enterprise data. Supports proofs of concept through production, establishes engineering and deployment practices, tracks solution impact, and guides makers and stakeholders on AI adoption.

Supports the Training department with administrative and operational tasks, including organizing physical and digital records, managing e-learning courses and certificates, registering new employees in LMS systems, and updating KPI spreadsheets. The role requires pursuing a Business Administration or related degree, proficiency with Microsoft Office tools—especially Excel, Word, and Outlook—and ideally English knowledge.

Leads cybersecurity incident response and recovery engagements, coordinating teams, resources, timelines, containment, remediation, forensic investigations, threat hunting, and infrastructure recovery. Serves as the primary liaison among technical, legal, compliance, executive, and external stakeholders during security crises. Develops playbooks, improves SIEM and monitoring strategies, produces incident reports, advises on risk mitigation, and mentors junior incident response and forensic personnel.

Own CoderPad’s customer marketing strategy and execution, driving expansion pipeline, product adoption, customer advocacy, reviews, events, and advisory programs. Build lifecycle journeys, customer segments, advocacy initiatives, and enterprise upsell and cross-sell campaigns in partnership with Sales, Customer Success, Product Marketing, Campaigns, Demand Generation, and Marketing Operations. The role is hands-on, data-driven, and focused on measurable pipeline, adoption, and advocacy outcomes.

Leads Helium 10’s global product management function across the United States and China. Owns roadmap development, innovation delivery, customer discovery, AI-native product development, and direct-to-consumer and omnichannel expansion. Manages product managers, drives cross-functional execution with engineering and design, partners on commercialization, and ensures initiatives deliver measurable business outcomes. Requires deep marketplace and SaaS expertise, strong customer discovery skills, analytical rigor, and experience launching net-new products.

Leads intelligence-driven threat hunting across enterprise, cloud, OT/IoT, identity, and AI/LLM environments. Develops hypotheses, analyzes telemetry, identifies adversary tradecraft, and converts findings into detections, signatures, and SOAR playbooks. Partners with threat intelligence, detection engineering, incident response, and exposure management teams; supports purple-team exercises and investigations. The role also develops automation, identifies telemetry gaps, mentors junior hunters, communicates findings to executives, and advances hunting program maturity.

Develops and coordinates multi-phased facility transition and relocation plans, including occupancy milestones, move sequencing, departmental plans, resource coordination, risk identification, readiness assessments, and post-move issue resolution. The role coordinates personnel, equipment, furnishings, supplies, vendors, logistics, facility operations, and project leadership to support successful relocation and operational readiness for the VA Martinsburg Warehouse project.

Staff Engineer responsible for designing, developing, debugging, and optimizing LustreFS and distributed storage systems. The role investigates complex customer and scale-related issues, performs root-cause analysis, improves reliability and performance, reviews designs and code, and collaborates with QE, support, and release teams. Responsibilities include working across Lustre subsystems, Linux systems, networking, and backend storage, while using AI-assisted tools to accelerate debugging, triage, documentation, and feature development.