Top Remote Entry Level Jobs in Sacramento, CA

Develop and execute sales strategies across the Western USA, targeting data centers, colocation facilities, enterprise accounts, public networks, DCI markets, and contractors. Build relationships with decision-makers and channel partners, present EXFO solutions, identify opportunities, forecast sales, and align customer needs with product roadmaps. Requires knowledge of wireless and wireline networks, fiber optic testing, market trends, communication, problem-solving, autonomy, and collaboration.

Translate and localize gaming, technical, marketing, support, and customer-facing content from English into Filipino. Ensure linguistic accuracy, cultural relevance, consistent terminology, and high editorial quality. Manage multiple translation projects, use computer-assisted translation tools, adapt to changing priorities, and collaborate with translators, reviewers, project teams, and stakeholders while maintaining deadlines and quality standards.

Lead Help Scout’s global People function in a fully remote, scaling B2B SaaS company. Own the employee lifecycle, talent strategy, compensation, organizational design, performance management, engagement, retention, remote-work systems, and People analytics. Partner with executives and hiring managers to align People programs with business strategy, strengthen culture, and scale effectively. Introduce an AI-informed approach to People practices while establishing clear planning, prioritization, and execution rhythms.

Develops and improves manufacturing processes, workflows, standard operating procedures, work instructions, routings, bills of materials, and production fixtures. Maintains SAP manufacturing data, supports make-or-buy and supplier decisions, analyzes process improvement opportunities, and coordinates engineering changes and new product transfers. Advises design, purchasing, quality, and production teams on manufacturing methods, costs, materials, and technical documentation. Travel to other plants for introductions and transfers may last up to eight consecutive weeks.

Own PAM’s product direction, technical roadmap, prioritization, and end-to-end execution. Scale and stabilize its AI-powered pitch feedback platform, improve feedback and scoring systems, manage infrastructure and AI costs, establish product operations, and prepare the beta product for commercialization. The role requires hands-on technical judgment across frontend, backend, AI workflows, cloud infrastructure, reliability, and monetization readiness.

Own the support experience for dedicated SaaS clients by answering inquiries, troubleshooting issues, managing website updates, conducting check-ins and training, and building strong relationships. Identify churn risks, support retention and payment follow-up, gather feedback and testimonials, and contribute to product, marketing, and process improvements. The role requires consistent engagement during scheduled hours and collaboration with a cross-functional team.

Own enterprise and strategic SaaS accounts by identifying new opportunities, managing complex sales cycles, conducting POCs, negotiating bespoke agreements, closing high-value deals, and driving adoption and expansion. The role includes territory planning, prospecting, stakeholder engagement, forecasting, tailored demos and business cases, pipeline optimization, and coaching team members while contributing to go-to-market improvements.

Versar offers SkillBridge internship for transitioning service members, providing hands-on experience in various fields including logistics, engineering, and IT.

Graduate software engineers will develop open-source and commercial software across the Linux stack, from firmware, kernels, and drivers to desktop applications, containers, clouds, and Kubernetes. Responsibilities include writing resilient, performant code, contributing to product roadmaps, engaging with users and open-source communities, addressing customer issues, and developing secure software. The role is globally remote with twice-yearly international team sprints and emphasizes mentorship, collaboration, and continuous technical growth.

Develop agentic AI systems and machine learning methods for drug discovery, including molecular and tabular in-context learning, few-shot adaptation, foundation models, and biological data analysis. Lead research projects from task definition and dataset construction through model training, benchmarking, ablations, and scientific validation. Collaborate with chemists and biologists, build reproducible research software, scale training pipelines, and translate successful methods into drug discovery capabilities and scientific publications.