Top Remote Entry Level Jobs in Sacramento, CA

The job description only identifies a Director of Network Development position and provides no details about responsibilities, qualifications, technologies, compensation, travel, or work authorization.

Own technical customer inquiries and escalations from intake through resolution. Investigate complex issues, troubleshoot APIs and integrations, identify root causes, and coordinate Engineering and Product teams. Translate customer and business needs into technical action plans, communicate solutions clearly, prioritize high-impact issues, and identify recurring product gaps. Build scalable processes, documentation, and tooling while helping customers successfully use Higgsfield’s AI products.

Build scalable customer intelligence workflows using Python, SQL, automation, product usage analytics, customer health modeling, and applied AI. Develop Slack summaries, data pipelines, renewal prediction models, and LLM-driven synthesis workflows. Partner with Customer Success and Analytics Engineering to identify customer risk, expansion, and adoption signals, improve health scoring, and deliver actionable insights. The role is remote-first and intended for an early-career engineering or analytics professional.

Own inbound leads from qualification through close, expand product usage within existing accounts, and drive upsell and cross-sell opportunities. Partner with Marketing, Field Sales, and Channel teams on campaigns, outreach sequences, webinars, account research, and trial coordination. Maintain accurate CRM records, forecasts, and competitive intelligence while supporting retention and customer experience. The role serves research and life-science customers and requires understanding of DNA sequencing technologies.

Build and own robot autonomy systems spanning task, behavior, path, and trajectory planning. Design long-horizon behavior architectures with recovery and operator handoff, coordinate multiple robots, integrate LLM/VLM reasoning safely, and define interfaces between learned policies and classical planners. Evaluate performance through simulation, log replay, regression testing, and real-robot field operation while collaborating across perception, controls, simulation, and platform teams.

Supports data processing, statistical and machine learning model updates, marketing analyses, reporting, and data automation. Uses R or Python, SQL, BigQuery, BI tools, and spreadsheets to prepare datasets, maintain media-mix models, analyze results, and communicate insights to technical and non-technical audiences. Collaborates with Engineering, Reporting, Product, Paid Media, and Data Science teams while developing advanced analytical skills.

Manages end-to-end recruiting for client roles, including sourcing, screening, interviewing, candidate presentation, feedback collection, negotiation, and closing. Builds candidate networks through market research and passive sourcing, advises hiring managers on selections and compensation, maintains client and candidate relationships, tracks recruiting pipelines and ATS data, and meets submission and hiring targets in a metrics-driven environment.

Leads sales strategy and execution, owning new business bookings, ARR growth, enterprise renewals, retention, expansion, forecasting, deal execution, quota attainment, pipeline coverage, conversion rates, and sales productivity. The role requires building a repeatable sales motion, coaching and enabling teams, negotiating with senior stakeholders, developing strategic relationships, and using data-driven insights to improve performance.

Supports brand portfolio strategy, develops communications and investment briefs, manages strategic agency relationships, responds to brand association inquiries, and directs creative work for brand partnerships. The role collaborates across disciplines and stakeholders to launch cohesive, high-quality brand initiatives while managing multiple projects, priorities, and campaigns in a matrixed environment.

Own the strategy, governance, architecture, modeling, and reporting foundation for People Experience data. Build governed metrics, semantic and consolidated data layers, dashboards, data catalogs, quality monitoring, and operating processes from the ground up. Manage intake, prioritization, access, privacy, enablement, and self-service adoption while partnering with stakeholders on analytics and future AI capabilities. The role combines strategic program leadership with hands-on SQL, data modeling, reporting, and team mentoring.