Top Tech Jobs & Startup Jobs in Charlotte, NC

Own revenue operations as a hands-on team of one, including forecasting, bookings roll-ups, GTM metrics, pipeline hygiene, weekly operating rhythms, sales commissions, deal desk activities, and compensation plans. Build AI-powered GTM tools and automations using Claude, support finance and territory planning, and provide trusted analysis to GTM leadership.

Lead product marketing for Tribe's enterprise AI services: develop positioning, launch repeatable offerings, build partner marketing and enablement with Anthropic/OpenAI/Google, and create customer evidence and content to drive go-to-market and field adoption.

Partners with managers and leaders on team health, performance, growth, onboarding, employee relations, and talent practices. Builds manager enablement, learning and development, culture, listening, people programs, policies, and change-management initiatives. Advises on organization design and workforce planning while connecting people programs to business outcomes. Supports a distributed, international workforce and uses data, AI tools, and HR expertise to improve manager and employee experiences.

Own Tribe’s people operations infrastructure, including Rippling, integrations, automations, reporting, employee lifecycle processes, benefits administration, compliance, work authorization, policies, and HR support. Build scalable systems across hiring, onboarding, changes, leave, offboarding, and people data while serving as an employee advocate. Partner with external counsel and cross-functional teams, continuously improving HR operations through automation and AI tools.

Own the accounting function end to end, including monthly close, revenue recognition, billing, payroll, contractor payments, accounts payable, equity administration, financial reporting, audits, tax filings, and compliance. Partner with business leaders, auditors, and advisors while building scalable accounting processes and systems for a fast-growing AI services company.

Lead design of AI agent experiences—conversation and voice flows, multi-turn dialogs, escalation and error handling. Create user journeys, information architecture, wireframes, and clickable prototypes. Co-facilitate discovery workshops, ground decisions in user research, contribute to design systems, and ensure scalable, production-ready UX patterns for enterprise AI deployments.

Lead client-facing AI engagements: design end-to-end AI/ML architectures, drive technical discovery, enable engineers, translate technical choices to business outcomes, and create reusable deployment patterns.

Lead technical discovery and architect end-to-end GenAI and ML systems. Build rapid prototypes, define production-grade architectures (security, observability, deployment), create reference architectures, advise stakeholders, partner with sales and delivery teams, and collaborate with OpenAI/Anthropic to validate approaches and unblock technical constraints.

Lead client-embedded product strategy and delivery for enterprise AI solutions (80% onsite). Drive solution discovery, define product vision, prioritize backlogs, prototype, and manage end-to-end implementation. Translate client work into scalable internal products, share best practices, and influence executive stakeholders to ensure value realization.

Lead client-facing AI engineering engagements: build and deploy production LLM systems using RAG, vector DBs, and agent frameworks; handle cloud deployments, CI/CD, and reliability; debug enterprise issues (auth, networking, data); embed with client teams and document solutions for reuse.