Top Tech Jobs & Startup Jobs in Raleigh-Durham, NC

Own the end-to-end architecture and roadmap for MyFitnessPal’s product data stack. Coordinate data engineering, business intelligence, product analytics, and backend teams; establish data movement and standardization practices; lead tool evaluations and platform migrations; implement governance, PII handling, deletion workflows, access controls, and cost optimization; and document architecture standards across the organization.

Leads day-to-day influencer marketing execution, including creator relationships, deal evaluation, content oversight, budgets, contracts, and team development. Builds influencer strategies, manages measurement and attribution, tracks KPIs, and reports ROI. Partners with Brand, Product Marketing, Growth Marketing, Legal, and Finance to integrate creator campaigns. Improves automation and processes for outreach, tracking, reporting, and payments while monitoring industry trends and emerging platforms.

Maintains accurate ecommerce menus across multiple cannabis retail locations using Dutchie and Jane. Audits product and inventory data, edits compliant product copy, handles store and customer web requests, manages provider support tickets, documents bugs, and verifies fixes through website and mobile QA. Supports analytics, content updates, process documentation, and ecommerce operations while escalating complex issues to marketing leadership.

Leads SAP Vistex implementations, enhancements, configuration, architecture, integrations, testing, production cutovers, and ongoing support across SAP ECC and S/4HANA. Oversees Vistex incentive, rebate, chargeback, billback, royalty, and vendor agreement processes while integrating with SD, MM, and FI/CO. Partners with business stakeholders, manages onshore and offshore teams, troubleshoots system issues, and ensures compliance with audit, SOX, and month-end reporting requirements.

Paid, part-time Creative Advisor collaborating with AI research and machine learning teams. The role involves sharing creative expertise, defining quality standards, developing work, reviewing model outputs, identifying limitations, and helping fellow creators engage with the program. Applicants should be leading creators with strong portfolios and interest in shaping AI’s impact on creative practice; no AI experience is required.

Own messaging, positioning, go-to-market strategy, lifecycle campaigns, market research, product launches, sales enablement, customer education, and technical content for Grafana Labs observability products. Partner with product, engineering, marketing, and sales teams to drive customer acquisition, adoption, retention, and expansion. Develop AI-forward marketing processes and tools while translating complex technical products into clear customer value.

Build buyer-focused technical demos, videos, workshops, and webinars for Grafana Cloud. Enable sales engineers with technical messaging, competitive narratives, and demo guidance. Partner with product marketing, product, sales, developer relations, and engineering teams to communicate observability value to SRE and platform engineering leaders. Automate demo and content workflows using scripts, agents, and AI tools while shaping technical positioning across customer-facing channels.

Leads Power Digital’s Consumer Services division, owning client relationships, retention, expansion revenue, portfolio profitability, and new business. Manages Account Directors, develops talent, oversees lead-generation marketing strategy, and drives executive engagement across consumer-service accounts. Builds reporting and AI-enabled workflows, guides paid search, local SEO, call tracking, and attribution strategy, resolves escalations, supports pitches, and shapes go-to-market positioning. Partners with sales, data, media, activation, and innovation teams while forecasting churn, expansion, new business, and efficiency.

Leads PBM data integration delivery across claims, eligibility, accumulator, and encounter systems. Profiles and validates data, writes advanced SQL, resolves reconciliation discrepancies, investigates production issues, and partners with engineering on scalable healthcare integration architecture. Owns timelines, risks, vendor dependencies, testing, UAT, migration, rollback planning, executive reporting, and post-deployment support. Requires deep PBM claims-processing expertise, data architecture experience, and hands-on knowledge of ETL, secure file transfer, job scheduling, and healthcare data standards.

Supports budgeting, forecasting, long-range planning, financial reporting, variance analysis, financial modeling, cost allocation, and month-end reconciliation. Partners with operational leaders and Accounting to assess performance, improve reporting processes, and provide insights for strategic decisions. Prepares executive and Board presentations and conducts ad hoc analysis. The role requires strong finance and accounting knowledge, healthcare industry experience, and advanced Excel skills.

Develop and expand Numeral’s ERP partner channel across Sage, Acumatica, and related service-provider ecosystems. Build executive relationships, identify new partners, create pipeline, and drive referrals, reseller agreements, white-label partnerships, and alliances. Own partner strategy, account plans, enablement, training, co-selling, revenue forecasting, and opportunity development. Success is measured through partner engagement, sourced revenue, retention, expansion, and qualified pipeline generation.

Leads enterprise and executive communications strategies across internal and external channels. Develops content and marketing communications programs, advises senior leaders, manages agencies and partner teams, oversees budgets and resources, analyzes market trends and program performance, and mentors communications professionals. The role requires strategic planning, technical writing, public relations, brand management, executive communication, program leadership, and cross-functional collaboration.

Leads enterprise AI platform strategy, architecture, engineering, governance, and operations across machine learning, generative AI, agents, data, and business intelligence. Owns platform standards, reusable services, lifecycle management, security, compliance, reliability, vendor commitments, budgets, and consumption. Directs production-scale AI enablement, establishes responsible AI controls, and manages engineering teams, staffing, operating plans, and executive stakeholder alignment.