Top Tech Jobs & Startup Jobs in Sacramento, CA

Manage Opendoor-owned home listings from offer through closing. Negotiate price, concessions, repairs, and timelines with buyer agents; coordinate internal teams, title and escrow partners, and transaction stakeholders; resolve issues, maintain accurate documentation, monitor transaction health, and deliver responsive agent and buyer experiences in a high-volume, metrics-driven environment.

Own the strategy, roadmap, prioritization, governance, rollout, licensing, cost management, adoption, and measurement of an enterprise everyday AI productivity portfolio. Partner with engineering, platform, risk, security, compliance, and business teams to launch AI capabilities, manage pilots, define acceptance criteria, track product health, lead enablement, and build a practitioner community across a regulated enterprise.

Lead product marketing for cloud data protection: define strategy and positioning, run GTM launches and campaigns, produce content and sales enablement, manage competitive and analyst relations, and partner cross-functionally to drive revenue, adoption, and market awareness.

Serves as the senior-most business systems architect and final technical authority across CRM, billing, marketing operations, revenue, and integration platforms. Defines target-state architecture, modernization and decommissioning strategies, technical roadmaps, solution designs, and build specifications. Partners with executive stakeholders, resolves cross-system design decisions, evaluates build-versus-buy choices, manages risks and tradeoffs, and maintains architecture documentation. The role supports Salesforce, Marketo, Zuora, CPQ, quote-to-cash, and order-to-revenue systems.

Own the full sales cycle for the Dallas territory, including prospecting, pipeline management, market research, relationship development, product presentations, contract negotiation, and closing. Build relationships with small-business prospects, meet quotas, generate new business, represent Justworks, and provide customer insights to internal teams. The role includes 25% local travel for networking events, trade shows, and client meetings.

Own consumer lending credit risk analysis across underwriting, originations, loan performance, loss mitigation, collections, and recovery. Develop recommendations for credit policy, analyze delinquency and loss drivers, design testing strategies, contribute to risk model development and monitoring, and improve application funnels. The role requires strong SQL and Python skills, quantitative analysis, autonomous problem-solving, and clear communication with executives, product, engineering, finance, and lending partners.

Supports radiology providers through inbound and outbound calls, answers workflow and platform questions, troubleshoots issues, documents interactions accurately, and escalates system or workflow concerns. The role collaborates with internal teams, participates in training and quality reviews, and delivers timely, professional, service-focused provider support.

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.