Top Remote Jobs in Wilmington, NC

Leads Helium 10’s global product management function across the United States and China. Owns roadmap development, innovation delivery, customer discovery, AI-native product development, and direct-to-consumer and omnichannel expansion. Manages product managers, drives cross-functional execution with engineering and design, partners on commercialization, and ensures initiatives deliver measurable business outcomes. Requires deep marketplace and SaaS expertise, strong customer discovery skills, analytical rigor, and experience launching net-new products.

Develops and coordinates multi-phased facility transition and relocation plans, including occupancy milestones, move sequencing, departmental plans, resource coordination, risk identification, readiness assessments, and post-move issue resolution. The role coordinates personnel, equipment, furnishings, supplies, vendors, logistics, facility operations, and project leadership to support successful relocation and operational readiness for the VA Martinsburg Warehouse project.

Design, develop, debug, and optimize LustreFS across client, metadata, object storage, networking, and backend layers. Investigate customer and scale-related defects, perform root-cause analysis, improve reliability and performance, review code and designs, collaborate with QE and support, create diagnostics and documentation, and use AI-assisted tools to accelerate triage and engineering workflows.

Staff Engineer responsible for designing, developing, debugging, and optimizing LustreFS and distributed storage systems. The role investigates complex customer and scale-related issues, performs root-cause analysis, improves reliability and performance, reviews designs and code, and collaborates with QE, support, and release teams. Responsibilities include working across Lustre subsystems, Linux systems, networking, and backend storage, while using AI-assisted tools to accelerate debugging, triage, documentation, and feature development.

Build and operate Supabase’s multi-tenant, multi-region Kubernetes container platform. Responsibilities include platform automation, controllers, internal tooling, CI/CD and rollout primitives, security automation, observability, SLOs, error budgets, incident response, operational readiness reviews, resilience design, and infrastructure cost optimization. The role participates in on-call rotations and guides product teams toward reliable operational practices.

Build and own Supabase’s internal AI execution platform, including event-driven agent runtimes, durable state, human review, rollback, observability, evaluations, governance, and least-privilege tooling. Develop production agents, MCP integrations, infrastructure on Python and GCP, CI evaluation gates, operating metrics, and return-on-investment instrumentation. As the sole platform engineer, independently make architecture decisions, operate systems end to end, and ensure unsafe actions are structurally impossible.

Lead Supabase’s AI-native operating system by defining maturity models, company-wide standards, assessment processes, operating cadences, and transparency mechanisms. Manage two senior contributors focused on platform and enablement, drive adoption without direct authority, replace unnecessary meetings with automated reporting, integrate standards into onboarding, and measure whether AI agents reduce organizational coordination costs.

Supports railroad commission reporting and data publishing initiatives by gathering requirements, analyzing data and errors, documenting processes and data flows, developing Power BI reports with Snowflake, coordinating open-data publishing, and supporting user acceptance testing, training, implementation, and special projects.

Own the technical sales process for data products from discovery through close. Partner with account teams, lead architecture discussions, demos, proofs of concept, evaluations, ROI modeling, and technical objection handling. Translate customer needs into solutions involving BI, warehouses, APIs, and benchmarking. Support product feedback and post-sale handoff while helping build sales processes, collateral, and evaluation playbooks in an emerging data products organization.

Leads corporate accounting operations, including general ledger integrity, multi-entity consolidations, intercompany accounting, debt and lease accounting, accounts payable, cash reconciliations, and monthly close. Oversees internal controls, audits, reporting support, process automation, ERP optimization, and accounting policy development. Manages and mentors the accounting team while partnering with Financial Reporting, FP&A, Tax, Project Accounting, and operational teams in a growing renewable energy organization.

Leads Finance of America's AI security and safeguards program, including strategy, governance, red teaming, model and application security testing, threat detection, monitoring, and control validation. Maintains the enterprise AI inventory, evaluates use cases, integrates security requirements into procurement and development processes, and partners with legal, compliance, risk, and security teams. Reports AI risk posture to executives and boards, supports audits and regulatory examinations, and builds a team while remaining hands-on.

Supports product development, launch, optimization, roadmaps, market research, customer feedback, product requirements, documentation, performance tracking, implementations, and regulatory monitoring. Collaborates with Product Managers, account management, and cross-functional teams to execute initiatives, analyze opportunities, support system enhancements, and maintain product quality and compliance.

Lead the technical direction, development, evaluation, security, observability, and cost optimization of production LLM agent systems. Build shared agent infrastructure, improve reliability and fault tolerance, establish testing and rollout standards, and partner with engineering, product, research, and security teams. Mentor engineers, support AI coding-agent adoption, investigate incidents, and guide model selection and production readiness across teams.