Top Remote Senior Level Jobs in Detroit, MI

Architect and build a high-performance trading platform for active traders. Develop responsive web interfaces integrating real-time market data, low-latency execution workflows, and advanced trading tools. Collaborate with cross-functional engineering teams on large-scale initiatives, emphasizing scalability, performance, API quality, maintainability, developer experience, and end-user usability.

Leads enterprise workforce transformation as AI reshapes work. Owns productivity measurement, workforce planning, job architecture, role redesign, future-skills development, AI fluency, and responsible AI governance. Partners with the CPO, AI leaders, Legal, Compliance, IT, and functional executives to anticipate workforce needs, guide automation and upskilling decisions, build predictive workforce insights, and drive adoption across the organization.

Manage a portfolio of mid-market B2B SaaS customers, driving adoption, retention, renewals, expansion, and measurable business outcomes. Build executive relationships, create strategic account success plans, monitor customer health, lead executive business reviews, identify risks and growth opportunities, and collaborate cross-functionally with Sales, Product, Support, Professional Services, Finance, and Marketing. Serve as the customer advocate and trusted strategic advisor.

Research and interpret federal and state tax law changes, translate them into software requirements, validate tax calculations, and partner with developers on compliant tax technology. The role also creates technical documentation, supports strategic product initiatives, provides tax subject-matter expertise, and uses AI and analytics tools to improve research and workflow efficiency.

Build and scale the PSA Liquidity Platform connecting buyers and sellers across PSA Partner Offers and eBay Consignment. Responsibilities include developing buyer tooling, pricing and ranking engines, seller experiences, microservices, distributed event-driven systems, and observability. The role owns end-to-end product delivery, cross-functional execution, technical architecture, ecosystem integrations, and production outcomes while using AI throughout the software development lifecycle.

Leads Rapid7’s global technical sales organization across Sales Engineering Specialists, Forward Engineering, Labs, and the Center of Excellence. Develops technical sales strategy, organizational roadmaps, succession frameworks, and engineering capabilities while partnering with sales leadership. Oversees integrations, demo infrastructure, enterprise platform architecture, ROI modeling, resource planning, and cross-functional execution. Drives organizational scaling, executive alignment, talent development, and measurable contributions to revenue and product innovation.

Lead and grow a global data engineering team while establishing foundational data platforms and engineering standards. Design and oversee GCP-based pipelines, medallion data models, DataOps, monitoring, SLAs, CI/CD, governance, and data quality practices. Drive AI adoption across engineering workflows and build reliable, AI-ready data. Partner with business and technology stakeholders to prioritize roadmaps, deliver scalable solutions, and support data democratization.

Manage strategically complex client relationships and portfolios, owning retention, expansion, and cross-channel digital marketing strategy. Lead quarterly business presentations, deliver data-backed recommendations, coordinate internal teams, and act as a Fiona platform expert. Drive departmental initiatives, process improvements, product feedback, client onboarding, and mentorship for Account Managers and Coordinators. Success is measured through retention, client satisfaction, response times, reporting accuracy, expansion, revenue growth, and team development.

Leads Shield AI’s Enterprise Data delivery organization, managing data engineering, analytics engineering, domain enablement, and governance teams. Translates enterprise data strategy into sequenced roadmaps, manages priorities, capacity, dependencies, risks, and stakeholder expectations, and ensures production-ready, governed data products. Partners with architecture, platform engineering, security, and business leaders on technical tradeoffs, data quality, lineage, reliability, and investment priorities. Also owns hiring, coaching, performance development, delivery metrics, and continuous improvement of the data operating model.

Plan, execute, and optimize multi-channel B2B demand generation and ABM campaigns for the mid-market segment. Partner with content, product marketing, marketing operations, sales, and analytics teams to align targeting, messaging, enablement, and pipeline goals. Manage webinars, sales plays, direct mail, and other channels; monitor performance, conduct testing, optimize spend, maintain reporting, and translate campaign data into actionable recommendations. Use AI tools to improve personalization and execution.