Top Tech Jobs & Startup Jobs

Owns automated dashboards, SQL-based analysis, data pipeline monitoring, exploratory analysis, and executive recommendations. The role tracks marketplace KPIs such as customer lifetime value, acquisition costs, churn, and provider utilization while partnering with engineering and product teams on data requirements. It is fully remote within the United States and requires advanced SQL, dashboard development, and strong analytical communication.

Owns Hit Snooze’s social media, email, and community presence; writes and schedules content, coordinates release-day materials, engages audiences, supports partnerships, tracks outreach, and reports on performance. The role requires strong organization, independent prioritization, and short-form copywriting, with opportunities to grow into a full-time Label Coordinator position.

Own customer software implementations from post-sale handoff through go-live and early adoption. Manage implementation plans, timelines, data preparation, configuration, integrations, training, troubleshooting, and stakeholder communication across multiple concurrent projects. Build customer relationships, support change management, coordinate onsite launches, and provide product feedback. The role requires fluent Spanish and English, strong Excel and analytical skills, excellent organization, schedule flexibility, and regular travel to supplier sites.

Organizes annual and biennial budgeting, quarterly forecasting, monthly financial reporting, and financial management for university programs. Responsibilities include preparing budget models, reconciling revenue and enrollment data, analyzing variances, supporting business units, maintaining budget records, ensuring compliance with financial policies, training program managers, and leading finance-related projects. The role collaborates with UW campuses and internal departments to improve financial operations and support educational programming.

Manage the LMS and training records, schedule and coordinate training sessions, generate training reports, support employees with LMS access, and coordinate projects ensuring compliance, risk management, and timely close-out.

Establishes and leads cloud engineering capabilities, initially on Microsoft Azure and later AWS. Designs cloud foundations, networking, identity, governance, automation, analytics infrastructure, monitoring, recovery, and cost controls. Develops infrastructure as code and migration strategies, supports production operations, partners across security and infrastructure teams, and builds the cloud engineering team through hiring, coaching, and technical leadership.

Support EXIM’s implementation, administration, configuration, testing, and ongoing operation of the GO.gov federal travel management system. Troubleshoot workflows, user profiles, approvals, vouchers, and system defects; coordinate with GSA, IBM, and agency stakeholders; manage tickets and issue tracking; support the transition from Concur; develop documentation and training; and provide project reporting, testing, and change-management assistance.

Owns the design, development, evaluation, launch, and operation of customer-facing AI agents for support, lending, sales, and ordering. Builds production LLM agents with tool use, retrieval, workflows, safety guardrails, monitoring, and human handoffs. Integrates agents with business systems, develops evaluation suites from real-world data, measures business outcomes, and mentors engineers while partnering with nontechnical business owners.

Drive new-logo and existing-account sales for business intelligence software. Responsibilities include prospecting, lead generation, solution selling, executive engagement, product demonstrations, deal negotiation and closing, pipeline management, partner development, market feedback, CRM reporting, and collaboration with sales engineering and customer success teams.

Analyze large datasets, identify meaningful patterns, develop machine learning models, and deliver actionable insights for business decisions. Collaborate with cross-functional teams to understand data needs, communicate findings clearly to stakeholders, and stay current with advances in data science and AI technologies.