Top Remote Senior Level Jobs in Nashville, TN

Lead large Oracle Field Service implementation projects as a Solutions Architect senior manager. Design and deploy Oracle Fusion Service and Field Service Cloud solutions, guide assessment and future-state planning, interact with senior clients, coach teams, apply delivery methodologies and accelerators, and drive continuous improvement.

Lead end-to-end product lifecycle for internal and commercial software products, drive product strategy and commercialization, collaborate with cross-functional teams, apply Agile methods, coach teams, validate client outcomes, and execute roadmaps and go-to-market plans.

Lead product management and program delivery for enterprise software implementations. Manage product lifecycle, stakeholder relationships, reporting, risk, and financial tracking; mentor juniors and align project objectives with strategic goals.

Lead strategy and GTM for agentic commerce on Arc, driving ecosystem partnerships, product alignment, and adoption of USDC and Circle Agent Stack across AI builders, platforms, and enterprises.

Design and develop AI solutions while adhering to agile methodologies and responsible AI practices, ensuring security and maintainability.

Manage relationships with Square's largest food and beverage sellers, grow account revenue, provide client service, and collaborate with product teams on technical solutions.

Lead backend and full-stack work on the Payments team, building multi-gateway integrations (Stripe, PayPal), payment APIs, and customer payment UIs. Ensure secure, compliant (PCI-DSS) payment flows, reliability, observability, and scalability across AWS/Kubernetes microservices. Partner cross-functionally to design architecture, implement settlement/reconciliation, and maintain high availability.

Lead design and implementation of the PSA Liquidity Platform connecting buyers and sellers. Build buyer tooling, matching/ranking engines, and seller experiences. Architect and operate microservices and Kafka-driven systems on Kubernetes/AWS, instrument observability, apply AI tooling across the SDLC, and drive cross-functional delivery from 0-to-1 while owning end-to-end outcomes.

Design, build, and maintain high-throughput data ingestion and processing pipelines; integrate AI-powered infrastructure; implement and support complex computing algorithms and distributed services; own systems end-to-end including architecture, observability, reliability, and operational support; lead architectural initiatives and reduce system complexity while maintaining performance on large-scale real-time data.

Partner with Product Directors to deliver reporting, analysis, and market-ready insights for Dental and Vision. Provide rapid support to Sales, brokers, and account teams, analyze network and plan design, identify risks and optimization opportunities, and produce external-ready materials and recommendations for regional market execution.

Own and define IAM strategy for corporate and production environments. Migrate Okta to Terraform, design least-privilege access, automate provisioning/deprovisioning and access reviews, build/manage MDM/MAM tooling, partner with platform and engineering teams, and serve as the IAM subject matter expert across Security, IT, and Engineering.

Lead a Reliability Platform Engineering team to build operational intelligence, observability, and AI-driven tooling that improves production availability, resiliency, and operational governance. Partner with Platform, SRE, Infrastructure, and Product teams to define reliability standards, prioritize investments, and deliver scalable reliability and automation solutions.

Provide technical leadership for partner integrations (e.g., Shopify, Stripe), design solutions, manage project plans and timelines, support external partner technical questions, produce integration documentation, serve as SME/escalation point, recommend platform and tooling improvements, and collaborate with engineering and commercial teams to execute long-term partnership initiatives.

Build and maintain scalable, secure data pipelines and platforms to enable AI-driven analytics. Partner with analytics, product, and marketing to translate requirements, deploy production systems, implement data governance and access controls, and support AI applications at scale.