Top Tech Jobs & Startup Jobs in Phoenix – Mesa – Scottsdale, AZ

Build and maintain financial and operational models and dashboards linking GTM activity to pipeline and revenue. Perform scenario and variance analyses, produce executive-ready narratives, support cross-functional data integration, and drive improvements to reporting, forecasting, and analytical processes.

No job responsibilities or qualifications are included. Posting only lists the title (Mechanical Engineer), location (Phoenix), on-site work requirement, and an EEO statement.

Own solution strategy and value-stream alignment for an assigned product portfolio. Define scope, sequencing, investment priorities, and build long-term vision, business cases, and ROI models. Partner across Product, Sales, Finance, Marketing, Commercialization, and external stakeholders to translate strategy into epics and roadmap direction, support pricing/commercialization/pre-sales, and identify strategic partnerships and growth opportunities.

The Senior Technical Accounting role involves complex financial reporting, preparation of audits, and technical accounting guidance for clients, including revenue recognition and SEC reporting.

Lead a distribution-based, floor-facing sales team to meet revenue and profit targets. Develop sales/marketing plans, forecast sales, manage staff performance, handle order/service issues, build top-customer relationships, and partner with internal teams and suppliers to optimize operations and customer experience. Travel up to 25%.

Identify and engage prospects via calls and in-person meetings, present tailored solutions, build long-term client relationships, exceed sales targets through residual commissions, collaborate with internal teams, and leverage market insights to close deals.

Lead customer and product-line P&L, manage key OEM customer relationships, negotiate contracts and pricing, drive cross-functional teams for delivery, forecasting, and product strategy to achieve profitable growth in aerospace and defense.

Build and maintain broker and seller relationships to sell wholesale and correspondent mortgage products. Source and onboard new brokers, advise on programs/pricing, train on submission systems, manage loan pipelines, liaise with internal teams to ensure timely closings and purchases, and maintain CRM and regulatory compliance.

Designs, develops, optimizes, and maintains enterprise data platforms, databases, ETL workflows, reporting solutions, and business intelligence systems. Leads technical design, SDLC processes, production troubleshooting, documentation, stakeholder collaboration, and automation efforts. Requires advanced Microsoft SQL Server, T-SQL, and SSIS expertise, plus experience with data warehousing, BI, dashboards, and Microsoft DevOps. Cloud data services, APIs, Microsoft BI tools, and Python or Java are preferred or advantageous.

Reviews loss mitigation underwriting decisions, approvals, denials, income calculations, and final modification calculations for accuracy and compliance. Ensures files are complete, properly documented, and tasks are completed according to company policies and regulations. Tracks errors, reports trends, supports process improvements, trains new hires, assists peers, and contributes to special projects.

Support P&C pricing via rate indications, filings, and reporting. Validate pricing tools and predictive models, automate workflows using Excel/SQL/VBA, prepare documentation, and present findings to underwriting and regulators. Assist with reserve analyses, capital model updates, and ad hoc actuarial projects.

Support P&C pricing through rate reviews, filings, pricing tool validation, predictive model support, and automation. Prepare analyses, communicate results to underwriting leadership, respond to regulator questions, maintain documentation, and improve recurring processes using Excel, SQL, VBA, and emerging AI tools.

Lead end-to-end data science initiatives for commercial property or homeowners insurance: acquire and prepare data, build and validate predictive models, deploy and monitor production models, ensure governance and documentation, advise teams, and evaluate emerging ML/AI techniques to improve pricing, risk selection, and underwriting outcomes.

Sorts and delivers mail and packages throughout the facility, returns items to the mailroom, and maintains records. Requires frequent walking, lifting up to 50 lbs, basic computer use, punctuality, independent work, strong organization, and professional communication. Shift Monday–Friday, 5:00 AM–1:00 PM.