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Vice President Remote Engineer Jobs in Tennessee

NxT Level

Vice President of AI

Nashville, TN · On-site +1

Flexible (Hybrid/Remote Options Available) | Industry: Financial Services / Technology / Enterprise ... Bachelor's degree in Marketing, Finance, Business, Engineering, or a related field (Master ...

Cache Ventures

VP of Operations

Nashville, TN · Remote

A VP Revenue at a growth-stage SaaS who's capped * A Head of RevOps already doing CRO-level work ... Energized by growth Benefits Fully Remote Work Work from anywhere. We're a globally distributed ...

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Vice President Remote Engineer information

What are the key skills and qualifications needed to thrive as a vice president remote engineer, and why are they important?

To thrive as a Vice President Remote Engineer, you need extensive technical expertise in software engineering, leadership experience, and a track record of managing distributed engineering teams, typically supported by a relevant degree and senior-level experience. Familiarity with cloud platforms (like AWS or Azure), project management tools (such as Jira or Asana), and remote collaboration systems (like Slack or Zoom) is crucial, and certifications in cloud technologies or agile methodologies are often preferred. Outstanding communication, strategic thinking, and the ability to motivate and align remote teams are vital soft skills for this role. These capabilities ensure the effective delivery of complex projects, foster collaboration across time zones, and drive organizational success in a remote environment.

What does a vice president remote engineer do?

A Vice President Remote Engineer leads and oversees engineering teams that operate remotely, ensuring that projects are delivered efficiently and meet company goals. This role combines executive leadership with deep technical expertise, often setting the technical vision, managing distributed teams, and aligning engineering initiatives with business objectives. VPs in this position also focus on building effective remote work processes, maintaining communication across time zones, and fostering a strong engineering culture. They may also be involved in hiring, mentoring, budgeting, and strategic planning within the engineering department.

How does a vice president remote engineer typically balance strategic leadership with hands-on technical responsibilities?

A Vice President Remote Engineer is expected to provide both high-level strategic direction and technical oversight for distributed engineering teams. While much of their focus is on setting vision, aligning engineering practices with business goals, and mentoring senior staff, they also remain involved in key architectural decisions and may review critical code or system designs. Balancing these duties often requires excellent time management, clear communication, and leveraging strong leaders within the team to handle day-to-day technical tasks. Regular virtual meetings and collaboration tools help ensure remote teams stay aligned and productive.
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Vice President Remote Engineer jobs near you
Infographic showing various Vice President Remote Engineer job openings in Tennessee as of July 2026, with employment types broken down into 87% Full Time, and 13% Part Time. Highlights an 100% Remote job distribution.

Vice President of AI

NxT Level

Nashville, TN • On-site, Remote

Other

Re-posted 2 days ago

Job description

Vice President of AI Strategy & Transformation
Location: Flexible (Hybrid/Remote Options Available) | Industry: Financial Services / Technology / Enterprise AI

We are partnering with a forward-looking organization seeking a Vice President of AI Strategy & Transformation to lead enterprise-wide artificial intelligence initiatives. This executive-level position will drive the development and adoption of AI-powered solutions across business functions, focusing on automation, efficiency, and long-term profitability.

The ideal candidate blends strategic foresight with hands-on execution and brings a deep understanding of both commercial AI tools and internal application development. You will work across departments to identify impactful use cases, build scalable AI capabilities, and cultivate a culture of innovation and data-driven decision-making.

Key Responsibilities

AI Strategy & Roadmap

  • Define and champion the company’s enterprise AI strategy in alignment with business objectives

  • Translate pain points and opportunities into actionable AI initiatives with measurable ROI

  • Develop and manage a scalable, multi-year roadmap for AI platform adoption and maturity

?? Tool Development & Execution

  • Build or configure AI-powered applications using tools such as OpenAI, Copilot, or other low-code/no-code platforms

  • Develop intelligent assistants, workflow automations, and internal data agents to streamline business processes

  • Oversee implementation quality, compliance, and lifecycle management of AI tools

Use Case Identification & Vendor Management

  • Collaborate with leaders in operations, marketing, finance, and client servicing to identify high-impact AI applications

  • Evaluate and manage external AI vendors and consulting partners where appropriate

  • Drive business case development and manage RFPs and integrations for outsourced AI tools

Technology & Governance Alignment

  • Coordinate with IT to ensure AI tools align with existing tech stack, architecture, and security protocols

  • Uphold regulatory, privacy, and data governance requirements in all AI deployments

  • Serve as a thought leader in AI risk management, bias mitigation, and responsible AI practices

AI Enablement & Culture

  • Build foundational AI literacy across departments through training and enablement sessions

  • Champion ethical and inclusive AI practices while encouraging experimentation and innovation

  • Serve as a visible change leader helping drive adoption and excitement across the organization

Critical Success Factors

  • Strategic thinker who can connect emerging AI capabilities to tangible business outcomes

  • Hands-on operator with a bias toward action, rapid prototyping, and continuous iteration

  • Adept at translating complex technologies into simple, persuasive business narratives

  • Collaborative leader able to work across business units and influence executive stakeholders

  • Strong advocate for responsible AI principles and regulatory compliance

Key Performance Indicators (KPIs)

  • Advancement in enterprise AI maturity (e.g., Level 1 → Level 3) within 12–24 months

  • Deployment of AI tools that generate measurable cost savings, margin improvements, or process efficiencies

  • Adoption and usage metrics for internal AI tools across departments

  • Completion and effectiveness of company-wide AI training initiatives

  • ROI analysis tied to top-priority AI use cases

Qualifications

  • Bachelor’s degree in Marketing, Finance, Business, Engineering, or a related field (Master’s preferred)

  • 10+ years of experience in business strategy, digital transformation, or technology leadership

  • 3+ years of hands-on experience managing or deploying AI/ML solutions

  • Proven success in building custom AI applications or managing third-party AI tools

  • Strong grasp of prompt engineering, LLM integration, AI governance, and data infrastructure

  • Experience in regulated industries such as financial services, fintech, healthcare, or insurance is strongly preferred

Apply