Top Tech Jobs & Startup Jobs

Leads a district sales and operations team, manages a complex commercial loan portfolio, and develops lending, marketing, and sales strategies. Oversees credit processes, compliance, due diligence, risk management, financial performance, and business planning. Builds relationships with internal partners, financial institutions, government representatives, and industry stakeholders while coaching employees, driving corporate initiatives, and supporting community development.

Works directly with company founders to drive high-priority commercial and customer initiatives. Responsibilities include building business cases, coordinating cross-functional execution, managing stakeholder relationships, representing the company with senior clients, analyzing markets and decisions quantitatively, feeding customer insights into product roadmaps, and taking ownership of unassigned work in a fast-growing AI software company.

Summer internship with Movement Mortgage, supporting the Post Closing department. Interns receive customer service training, hands-on mortgage industry experience, leadership development, and collaboration with industry professionals. Responsibilities require attention to detail, independent task management, communication, Excel proficiency, and the ability to handle heavy boxes.

Supports the full partner journey, including onboarding, product demonstrations, solution selling, training, account management, and revenue activities. Maintains CRM records, triages partner communications, escalates issues, assists with team projects, and develops performance reports. The role requires strong customer-facing communication, organization, administrative skills, social media knowledge, and the ability to meet measurable performance goals in a collaborative environment.

Manage full-cycle recruitment, develop sourcing strategies, optimize Dayforce recruiting workflows, support employee value proposition and employer branding, improve candidate experience, create hiring tools, and coach hiring managers. Build trusted relationships across the business while recruiting for specialized and technical roles.

Analyzes federal IT budgets, expenditures, costs, and investment data to identify trends, variances, and risks. Validates and reconciles financial and operational data, responds to customer data requests, and creates Power BI dashboards and reports. Prepares leadership briefings, documents reporting processes, and supports multiple customer engagements while translating complex financial and IT information into actionable insights.

Leads financial planning and analysis for a sales territory, owning forecasts, annual planning, budgeting, backlog and inventory risk assessment, P&L variance analysis, financial modeling, KPI reporting, and executive presentations. Partners with sales, accounting, and operations leaders while promoting Power BI, AI-assisted analysis, standardized metrics, and self-service reporting. Mentors analysts, reviews deliverables, and drives continuous improvement across the finance team.

Designs and manages database architectures, schemas, dictionaries, migrations, performance monitoring, backups, recovery, security, and documentation. Collaborates with developers, analysts, and administrators to maintain data integrity and support applications. Requires extensive database engineering or administration experience, SQL proficiency, knowledge of major database systems, cloud databases, cross-domain solutions, and big data environments. An active TS/SCI clearance with full-scope polygraph is mandatory.

Develops VLA and World-Action foundation models for humanoid robots across architecture, large-scale pretraining, adaptation, reinforcement learning, continual learning, and evaluation. Responsibilities include designing multimodal models, training on diverse embodied datasets, improving optimization and scaling workflows, developing predictive world models, adapting models across tasks and embodiments, and evaluating policies in simulation and on real robots.

Design and build scalable data pipelines, migrations, integrations, curated datasets, semantic models, dashboards, and analytics products. Evolve cloud-native lakehouse platforms, establish data quality and performance practices, and deliver trusted, AI-ready insights. Partner with technical, product, and insurance-domain stakeholders to translate business needs into reliable data solutions. The role requires deep property and casualty insurance expertise, extensive data engineering experience, and ownership of complex technical problems.