Top Tech Jobs & Startup Jobs

Lead hands-on design, build, and operation of Databricks/Azure-based batch and real-time IoT/telemetry data pipelines and platform. Deliver reliable data products, streaming ingestion, APIs, and production-ready services; manage and mentor engineers; define architecture, observability, data quality, governance, and ML/AI enablement for operational and analytics use cases.

Remote, commission-based sales role handling inbound/outbound calls to convert leads into subscribers. Use provided laptops/headsets and tools (Salesforce, Five9, Microsoft apps) to document activity, meet sales targets, and complete at least 75 calls per 8.5-hour shift. Must reside in specified states, complete background/drug screening, and work flexible hours including weekends and holidays. Paid training provided.

Design and produce performance-driven paid and organic social creative across platforms (static, motion, short-form video). Build modular design systems, optimize assets using performance data, ensure brand and accessibility alignment, collaborate with growth and brand teams, manage deliverables, and support landing pages, email, print, and partner marketing.

Lead monitoring center vendor relationships and operational performance, establish SLAs and SOPs, analyze metrics, drive continuous improvement, and build a Quality Assurance function to monitor, evaluate, coach, and implement quality technologies across Member Experience.

The Principal Machine Learning Engineer will lead hands-on model development, oversee predictive modeling, and drive AI initiatives, ensuring models are effective and operationally sound.

Support monthly operational and financial reporting, collaborate on month-end close, prepare budgets, forecasts, rolling cash flow and long-term plans, build financial models and business cases, analyze variance drivers and margins, partner with technology on automated reporting, and provide ad hoc analyses to inform cross-functional decisions.

Lead FP&A activities including monthly operational and financial reporting, budgeting, rolling cash-flow forecasts, strategic planning, financial modeling, variance analysis, automation of reporting, and ad hoc analyses while managing and developing a finance team.