Top Tech Jobs & Startup Jobs in Sacramento, CA

Design, build, and deploy scalable distributed deep learning pipelines and infrastructure. Optimize hardware utilization, profile and benchmark training, manage large datasets, and enable reproducible ML workflows in cloud environments. Collaborate with ML scientists and engineers to align pipelines with research goals and drive performance, reliability, and operational best practices for large-scale model development.

Own net-new mid-market hotel group growth across the Southeast US. Manage full sales cycle from outbound prospecting to close, run high-volume outreach (120+ activities/week), maintain 8-10 active opportunities, multi-thread deals across stakeholders, forecast pipeline, partner with Customer Success for expansion, attend regional industry events, and close 3-4 deals/month averaging €3-5k MRR.

Lead design, research, and productionization of advanced NLP and LLM systems (NER, classification, generation, RAG/GraphRAG, semantic search). Drive experiments, model evaluation, data labeling strategy, and integration of NLP models into production workflows while providing technical leadership across engineering, product, and data teams.

Lead research, design, and production implementation of computer vision and ML solutions. Define architectures, run experiments, own model lifecycle (data, training, evaluation, deployment), optimize inference, set MLOps standards, mentor engineers, and collaborate with product and engineering teams to deliver production-quality CV features.

Provide strategic legal counsel for global AI products, ensuring compliance with evolving AI safety and privacy laws, enabling sales and product teams, engaging regulators and industry groups, driving AI trust initiatives, applying legal technology to streamline reviews, and mentoring junior lawyers to support product growth while mitigating risk.

Paid 3-month remote contract for students or recent grads to build and test LLM-based solutions using the Token Factory inference platform. Assist senior SAs with prompt engineering, model selection, benchmarking, and inference optimization. Run performance and quality experiments and contribute to internal tooling and automation. Mentorship provided; strong performers may be considered for full-time roles.

Lead strategy, roadmap, and lifecycle for Members, Chapters, and Agentic Ecosystem APIs. Define API specs (GraphQL/REST), governance, developer experience, and integrations with engineering, data, security, and partners. Enable safe AI agent integrations, enforce consent/privacy, monitor adoption and reliability, and drive API observability, versioning, and deprecation practices.

Lead global partner strategy and programs to drive partner-sourced revenue and scale. Design partner tiering, incentives, KPIs, and compliance; run a virtual partner support center; own partner portal and partner tech stack; align stakeholders across Sales, Marketing, Finance and Ops; use analytics and governance to measure performance; and build and develop a high-performing, globally distributed partner organization.

Enterprise seller responsible for hunting and expanding accounts at C-level in large enterprises. Manage territory pipeline, close complex SaaS deals, negotiate contracts, leverage channel partners, and meet quarterly revenue targets using MEDDPIC/MEDDICC and consultative concept selling.

Lead go-to-market strategy and positioning for a multi-channel marketing orchestration suite. Partner with product, sales, and client teams to drive adoption, create sales enablement, gather customer insights, measure product ROI, and use generative AI to scale enablement and assets.

Lead and build a global SDLC/Developer Experience practice: define and productize offerings, create IP and delivery playbooks, enable sales/marketing, uplift regional delivery quality, embed AI-driven development capabilities, and drive commercial growth across EMEA, AMER, and APAC.