Top Senior Level Jobs

Lead MRO sales and business development by building customer/vendor relationships, managing contracts and change orders, preparing RFPs, directing marketing strategy, developing partnerships, and presenting opportunities to executives to grow revenue.

The Senior Backend Engineer will lead client projects, build AI solutions, and develop technical standards while mentoring junior engineers.

Lead clients' paid digital media efforts by developing multi-channel strategies. Manage a team, ensure accurate execution, and be accountable for media performance and budgets.

The Lead Data Analyst analyzes audience behavior and content performance on streaming platforms, providing insights to drive product strategy and business decisions through data analysis and reporting.

As a Senior Full-Stack Software Engineer, you will design, build, and ship AI-powered systems to optimize workflows in the single family rental market, focusing on backend services and full-stack development in a fast-paced environment.

Develop and manage institutional relationships with banks and credit unions to drive referral and wholesale origination of non-Agency and Jumbo mortgage loans. Source new partners, educate on products and underwriting, coordinate loan execution with internal teams, grow production within assigned territory, and represent Verus at industry events.

Lead an interdisciplinary vehicle engineering team through design, production support, and mission operations. Define vehicle architecture, manage schedule/budget/resources, perform mechanical design and FEA, support design reviews (DCR/PDR/CDR), ensure quality/AS9100 compliance, conduct audits, and mentor direct reports.

Lead internal AI adoption by building in the Claude ecosystem, designing agentic workflows and automations, training teams, partnering with IT/InfoSec for secure rollouts, owning the AI roadmap, and measuring usage and impact across departments.

The Trade Operations & Data Analyst ensures data quality in security reference data, manages operational risk, and improves workflows in investment operations.

As a Machine Learning Engineer, you'll design and implement distributed systems for training large-scale ML models while optimizing performance under challenging conditions.