Top Tech Jobs & Startup Jobs in Wilmington, NC

Develops revenue through channel partners by prospecting, presenting Intermedia cloud communication solutions, building territory plans, supporting partner business development and marketing, and managing pre- and post-sale relationships. The role coordinates with internal teams to ensure successful partner and customer experiences, while driving sales enablement and executive relationship building. Requires extensive channel or outside sales experience, value-based selling expertise, strong communication skills, and teamwork in a matrixed environment.

Lead the Product and Design organization, define product vision and roadmaps, prioritize strategic investments, and align cross-functional teams to deliver safe, scalable robotic delivery experiences. Build and develop high-performing product and design teams, champion user-centered design, guide data-driven decisions, and translate complex robotics, hardware, software, and operational capabilities into customer value. Partner with executive leadership across Engineering, Operations, Safety, Policy, and Business Development to drive commercialization and growth.

Manages complex observability implementation projects from initiation through closure. Responsibilities include Agile/Scrum coaching, project planning, budgeting, scheduling, resource allocation, risk and issue management, client communication, vendor coordination, service delivery, and project documentation. The role also identifies additional services opportunities, supports executive-level client interactions, tracks project performance, and improves project management processes using systems such as Salesforce and FinancialForce.

Defines and designs customer solutions on the ServiceNow platform. Gathers requirements, translates them into technical specifications, supports client workshops and demos, maintains documentation, coordinates sprint work, mentors junior team members, and assists with SDLC ceremonies. The role requires broad ServiceNow process expertise, integration knowledge, strong communication and presentation skills, and travel of at least 25%.

Leads full-cycle recruiting for complex technical, data, product, cybersecurity, infrastructure, and emerging technology roles. Partners with senior leaders to define hiring strategies, build diverse talent pipelines, assess candidates, advise on offers, and improve recruiting processes. Uses market research, funnel analytics, recruiting technology, automation, and AI tools to guide decisions and enhance candidate experience. Also mentors peers and drives continuous improvement across recruiting practices.

Lead the planning, design, implementation, enhancement, and support of SAP SuccessFactors HCM solutions. Manage day-to-day HR applications, perform system analysis and configuration, drive process improvements, ensure compliance, monitor performance, resolve issues, maintain documentation, lead analysts, manage project timelines and stakeholders, and collaborate with HR and cross-functional teams to increase adoption and optimize systems.

Design and deliver scalable, secure enterprise Java solutions. Produce HLDs/LLDs, define APIs, enforce standards, guide development teams, promote microservices, integrate systems, and collaborate with DevOps for CI/CD and deployment.

Plan, configure, implement, and support SAP SD/CS within S/4HANA. Manage Order-to-Cash processes, integrate with FI/MM, gather and document requirements, execute testing and UAT, provide L2/L3 support, deliver post-go-live improvements, and train end users while maintaining technical documentation.

Designs, delivers, and improves onboarding and skills-training programs for Customer Success teams. Develops curricula, facilitator guides, assessments, and job aids; facilitates virtual and in-person learning; manages LMS learning paths; analyzes learner and performance data; and recommends program improvements. Partners with Customer Success leaders and cross-functional teams to support digital marketing, client-service, account-management, and technology enablement while mentoring other facilitators.

Drives net-new and expansion revenue in the mid-market SaaS segment through outbound prospecting, pipeline generation, discovery, demos, proofs of concept, and customer adoption. The role owns account relationships, forecasts revenue, achieves quota, identifies expansion opportunities, communicates customer feedback to product and engineering teams, and maintains accurate sales-system data.

Leads growth marketing analytics for a B2B SaaS product-led growth motion. Analyzes user, account, intent, and product signals; develops activation and lead-routing strategies; optimizes conversion pathways; runs growth experiments; and manages analytics, tracking, and data workflows across Marketing, Product, Sales Operations, RevOps, and Data Engineering.

Lead LaunchDarkly’s Data Platform engineering team, overseeing high-throughput ingestion, streaming and batch pipelines, analytical data stores, reliability, observability, incident response, and operational excellence. Partner with product and engineering teams on roadmap planning, technical tradeoffs, and delivery. Coach engineers, manage performance and career growth, establish collaborative team practices, and participate in hiring.

Leads enterprise marketing automation consulting across discovery, pre-sales, architecture, delivery, and ongoing advisory. Designs AI-first Adobe Marketo Engage solutions, integrations, migrations, campaign architectures, lead management systems, and CRM-connected ecosystems. Develops proposals, business cases, proofs of concept, and implementation plans; mentors practitioners; supports practice growth and thought leadership; and manages strategic client relationships and complex engagements.

Design and lead Salesforce solutions spanning Sales Cloud and Marketing Cloud Account Engagement (Pardot). Scope projects, architect prospect-to-lead/contact sync, drive connector and data governance best practices, mentor consultants, and manage campaign automation, segmentation, and deliverability considerations.

Manage Salesforce implementation projects from planning through delivery, including Scrum ceremonies, Agile adaptation, timelines, budgets, risks, resources, vendors, and client communications. Collaborate with account, creative, product, technology, and development teams to resolve issues, clarify requirements, and deliver high-quality solutions on schedule. The role also requires consulting experience, Salesforce implementation leadership, strong communication and problem-solving skills, and the ability to leverage AI responsibly.

Lead performance marketing data science initiatives focused on lead segmentation, bidding optimization, targeting, and marketing spend allocation. Develop and deploy production-ready machine learning systems, establish research and ML operations roadmaps, build monitoring frameworks, and identify high-impact opportunities. Partner with engineering, marketing, vendors, and executives while mentoring data scientists and machine learning engineers and promoting rigorous, maintainable, and reproducible practices.

Claims Counsel advises on auto insurance coverage, multi-state tort law, civil procedure, and litigation matters. Responsibilities include drafting coverage opinions, researching insurance laws, supporting claims policies and training, collaborating with legal and claims teams, conducting adjuster training, and drafting form letters and releases.

The Senior Production Engineer will scale AI infrastructure, manage production systems, implement monitoring capabilities, and ensure reliability and performance across NVIDIA's AI clusters.

Lead founding AI Safety & Security Engineering team, define harness architecture and engineering standards, drive Find/Validate/Patch roadmap, mentor engineers, and translate research into production-grade, secure ML systems.

Develop and formalize methods to validate reported vulnerabilities and generate/verify safe patches for internal NVIDIA targets. Define correctness, regression, and revalidation standards; produce repeatable, auditable processes and evidence. Apply AI-assisted workflows cautiously, perform bounded applied research on vulnerability classes, and document findings for independent security review.