Top Tech Jobs & Startup Jobs

Leads distributed engineering teams delivering enterprise-scale AWS cloud-native solutions. Owns technology program roadmaps, delivery planning, risk mitigation, engineering standards, KPIs, and operational reliability. Provides technical guidance on AWS architectures, microservices, APIs, serverless systems, DevOps, Infrastructure-as-Code, and modernization initiatives. Advises senior client stakeholders on technology strategy and transformation while managing people, quality, customer satisfaction, and continuous improvement.

Prepare federal and multistate tax returns and related workpapers for individuals, partnerships, corporations, and trusts. Conduct assigned tax research, complete projects within timelines and budgets, review work, use firm tax preparation software, participate in training, and develop technical and professional skills through team collaboration and mentorship.

Leads software quality assurance and testing activities. The position requires U.S. citizenship, work performed within the United States, and participation in camera-enabled interviews that may be recorded for evaluation, training, quality assurance, and hiring purposes.

Supports marketing and communications for two private clubs through social media management, email campaigns, website and mobile app updates, promotional content, event marketing, and brand coordination. The role creates graphics, captures event content, engages with users, reports on analytics, updates digital channels, and collaborates with department leaders to promote club events, specials, and initiatives. Weekend, holiday, evening, night, and special-event availability is required.

Develop, test, maintain, and improve software solutions using established development practices. Write clean code, assist with feature implementation, debug issues, and collaborate remotely with team members. Support AI technology integration, automation, and AI-powered development workflows. Research emerging AI tools, document technical processes, and continuously develop programming skills.

Sell vehicles by understanding customer needs, following up with leads and showroom guests, demonstrating vehicle features, building relationships, and guiding customers through the purchase process. The role includes paid training, ongoing coaching, commission-based compensation, bonuses, and manufacturer incentives. Candidates should be motivated, competitive, communicative, professional, coachable, and willing to learn. Previous automotive or sales experience is helpful but not required.

Lead end-to-end IT project delivery for clients, including project planning, documentation, status and health reporting, stakeholder alignment, team leadership, change management, and mediation of technical and business discussions. The role manages diverse internal, client, and third-party teams across technology development projects and ensures projects deliver value throughout the full project and software development life cycles.

Leads corporate forecasting, annual planning, financial reporting, and analysis focused on revenue and gross margin. Consolidates results across business units, prepares management and board reporting, supports month-end close, maintains financial models and dashboards, ensures data integrity, and identifies reporting automation opportunities. Partners cross-functionally to analyze performance, risks, and opportunities, while supporting implementation of the Pigment planning tool.

Coordinate a portfolio of cross-functional AI initiatives across Finance, Product, Customer Success, and other teams. Maintain project plans, roadmaps, trackers, RAID logs, dashboards, status reports, dependencies, risks, and approval checklists. Facilitate working sessions, coordinate stakeholders and technical partners, support AI upskilling, document best practices, track adoption metrics, and lead selected agentic workflow projects from proposal through completion. The role focuses on program execution and enablement rather than developing AI models or applications.

Analyze large datasets using SQL and Python, build dashboards and recurring reports, identify trends and data-quality issues, and translate ambiguous business questions into actionable insights. The role partners with product, customer success, and engineering teams, documents metrics and methodologies, and presents findings to technical and non-technical stakeholders. Healthcare data, supply chain analytics, modern analytics engineering, and BI visualization experience are advantageous.