Top Tech Jobs & Startup Jobs in Sacramento, CA

Build and ship a full-stack data collection and search platform for defense and intelligence users. Develop frontend, backend, data ingestion, storage, indexing, APIs, and agentic AI capabilities using TypeScript, React, Tailwind, Node.js, PostgreSQL, and AWS. Partner with mission owners, customers, designers, and engineers to translate intelligence workflows into intuitive, mission-ready products supporting information analysis and visualization.

Own strategic relationships with enterprise clients using Zeta’s marketing technology platform. Develop loyalty and lifecycle marketing strategies, analyze campaign performance, guide platform adoption, lead business reviews, and identify retention and growth opportunities. Collaborate with analytics, operations, and commercial teams while translating marketing data into actionable recommendations and managing multiple client priorities.

Build and own evaluation infrastructure, observability tooling, datasets, annotation workflows, and diagnostic systems for production AI agents. Lead experiments across prompts, models, routing, caching, cost, and latency. Diagnose failures across planning, tool use, and agent execution, while partnering with AI Core engineering. Manage and grow the AI Quality team as a hands-on player-coach, contributing directly to production code and technical direction.

Set the technical direction for Rapid7’s LLM and agentic AI systems. Lead architecture, model strategy, fine-tuning, post-training, inference optimization, evaluation standards, and complex cross-team initiatives. Build critical model and inference code, mentor senior engineers, resolve technical trade-offs, and influence product and platform strategy across cybersecurity products.

Deploy and integrate Hivemind autonomy software with maritime platforms worldwide. Support customer deployments, software development, on-water testing, training, demonstrations, debugging, documentation, and maritime system integrations involving controls, sensors, navigation, and communications. Collaborate with customers, sales, and product engineering teams to resolve integration issues and improve products.

The Director of Sales will independently manage complex enterprise sales for Narmi One, targeting community and regional financial institutions. Responsibilities include prospecting, pipeline development, discovery, demonstrations, business case creation, procurement, legal due diligence, proposal development, quota attainment, new customer acquisition, and expansion sales. The role requires strong financial-institution relationships, consultative selling, complex deal negotiation, cross-functional collaboration, and travel of 25–40%.

Hands-on performance marketing role responsible for planning, launching, and optimizing paid media and ABM campaigns across social, video, programmatic, and emerging channels. The role manages budgets, vendors, creative testing, audience activation, measurement, and campaign optimization to build awareness, generate demand, engage buying groups, and increase pipeline. It partners closely with Creative, Content, Marketing Operations, Analytics, Sales, and Customer Marketing.

Provides in-house legal counsel across privacy, cybersecurity, AI, SaaS contracts, technology transactions, intellectual property, trademarks, copyright, marketing compliance, and product development. Reviews and negotiates agreements, advises on privacy and AI regulations, supports security incidents and ISO/SOC audits, manages outside counsel, guides product and marketing teams, and develops legal policies, playbooks, training, and compliance processes.

Build and operate Deepgram’s deal desk, including approval matrices, pricing playbooks, credit and promotion guidelines, non-standard deal reviews, pricing analysis, Salesforce CPQ workflows, and audit-ready approvals. Partner with Sales, Customer Success, Product, and Finance on pricing, packaging, renewals, and revenue recognition. Use AI for first-pass deal reviews and continuously improve desk rules and processes.

Build and ship custom full-stack programs for AI labs and product teams, including capture flows, task logic, data pipelines, validation, redaction, provenance, and delivery across web, mobile, and backend systems. Partner directly with technical customers to scope ambiguous requirements, determine what to reuse or build, ship production code, establish data quality processes, and turn repeatable custom solutions into core platform capabilities.