Top Remote Senior Level Jobs in Raleigh, NC

Leads marketing measurement strategy and develops scalable frameworks for attribution, Marketing Mix Modeling, incrementality testing, experimentation, forecasting, and predictive analytics. Builds unified marketing data models, governs KPIs and tracking standards, creates executive reporting, and translates complex analyses into business recommendations. Partners cross-functionally with marketing, engineering, IT, privacy, and analytics teams while evaluating measurement technologies and vendors. Acts as the subject matter expert and helps scale the marketing analytics and data science function.

Own a new product bet from early concept or launch through product-market fit and scale. The role involves researching customer needs, analyzing quantitative and qualitative data, prioritizing high-impact opportunities, building and shipping products, gathering feedback, iterating, and contributing to the product roadmap. Products may span home, motorcycle, boat, RV insurance, or non-insurance ownership services.

Own the P&L and overall strategy for a new business, leading product development, customer growth, partnerships, and operations. The General Manager will build and scale a new product line within Jerry.ai, work closely with the CEO and executive team, and potentially manage a small team. The role requires strong ownership, urgency, resilience, and experience in venture capital, private equity, or hands-on startup operations.

Own a new product bet from concept or early launch through product-market fit and scale. Responsibilities include researching customer needs, analyzing quantitative and qualitative data, prioritizing roadmap opportunities, shipping products, gathering feedback, iterating, and driving growth across emerging insurance and asset-ownership products.

Lead a new business within Jerry.ai, owning its P&L, strategy, product development, customer growth, partnerships, and operations. Reporting to the CEO, the General Manager will scale one of the company’s emerging product lines and may initially manage a small team. The role requires hands-on startup operating or investment experience, strong ownership, urgency, and the ability to work in person with the executive team in Palo Alto.

Build and own production-grade generative AI applications for legal technology, specializing in RAG, agentic systems, advanced search, embeddings, reranking, evaluation, and LLM workflows. Responsibilities include architecting modular Python applications, refactoring legacy code, implementing testing and observability, optimizing performance and costs, ensuring resilience and security, reviewing code, and supporting deployments and incident resolution.

Executes end-to-end red team and adversary emulation operations across cloud, identity, network, endpoint, hardware, and operational environments. Develops offensive tooling, implants, and evasion tradecraft; operates and improves AI-driven security agents; discovers and exploits vulnerabilities; and communicates findings to customers and internal security teams. The role also contributes to operational playbooks, product hardening, detection improvements, and scalable offensive security practices.

Leads technical presales engagements for Microsoft Power Platform and Copilot Studio solutions. Discovers automation and AI opportunities, designs agentic solutions, builds demonstrations and proofs of concept, and guides solution architecture, governance, security, compliance, and responsible AI discussions. Partners with sales, engineering, consulting, partners, and customers to drive technical decisions, adoption, and scalable business outcomes.

Lead technical pre-sales engagements for Microsoft 365 Copilot, Copilot Studio, and AI productivity solutions. Conduct discovery, demonstrations, whiteboarding, solution design, and proof-of-concept efforts. Develop technical win strategies, address objections and blockers, quantify business value, embed governance and security considerations, collaborate with partners, and support customer adoption and deployment handoffs.

Build and migrate production data engineering and machine learning workloads to Databricks on Azure. Assess on-premises SQL Server and SSIS systems, develop PySpark and Spark SQL pipelines, implement governance with Unity Catalog, and create reusable CI/CD assets. Work directly with Department of Veterans Affairs teams through requirements sessions, workshops, training, and documentation. Depending on focus, build ML workflows or modernize ETL, reporting, semantic models, and Power BI solutions.

Provides senior operational, quality, and strategic leadership for laboratory support services at a customer site. Oversees service delivery, regulatory and safety compliance, SOP governance, KPIs, customer relationships, commercial growth opportunities, resource planning, and continuous improvement. Leads and develops onsite teams supporting asset management, scientific services, LabIT, relocation, automation, flow cytometry, sterilization, and media preparation. Requires significant leadership experience in regulated laboratory environments, strong business acumen, and proficiency with Microsoft 365.

Build and operate production-grade agentic AI systems, including orchestration, tool use, structured generation, RAG pipelines, evaluation frameworks, observability, and reliable event-driven services. Lead technical design, establish reliability and rollout standards, evaluate emerging models, and mentor engineers. Collaborate across Product, UX, Data Science, architecture, and engineering teams while shaping shared AI platforms and developer tooling for regulated financial-services environments.

Build and operate production-grade agentic AI services for commercial payments, including orchestration, tool use, structured generation, RAG and embedding pipelines, evaluations, observability, reliability controls, and secure deployment. Collaborate across engineering, product, UX, data science, and architecture teams while contributing to shared AI frameworks and platform tooling. The role requires backend and distributed-systems expertise, strong TypeScript or Go skills, shipped LLM features, and familiarity with event-driven systems.

Leads strategic account management for large global enterprise Commercial Card and payments clients. Owns account strategy, retention, profitable growth, sales pipeline, contract negotiations, executive relationships, and issue resolution. Partners across global teams to deliver integrated solutions while navigating multinational, regulatory, risk, underwriting, and operational complexities. Provides consultative guidance to Finance, Procurement, Treasury, and C-suite stakeholders and mobilizes cross-functional teams to expand client relationships and share of wallet.

Senior attorney responsible for structuring, drafting, and negotiating complex insurance distribution, reinsurance, and commercial transactions. Advises on multi-party insurance programs, fronting arrangements, deductible and collateral structures, MGA relationships, claims administration, and service agreements. Partners with business teams to translate novel models into effective legal and commercial frameworks, while contributing to general commercial contracts, intellectual property, marketing matters, and legal process improvement.

Implement, maintain, and support Workday integrations and configurations. Design and manage inbound/outbound EIBs, DT XSLT transformations, core connectors (PECI/WECI), Cloud Connect, report calculated fields, and Workday Studio tasks to ensure reliable data exchange and reporting.