Top Tech Jobs & Startup Jobs in Charlotte, NC

Leads complex pre-sales technical engagements for Databricks and cloud solutions, including discovery, architecture, proof-of-concept, TCO modeling, proposals, and SOW scoping. Owns a personal sales target and pipeline while ensuring delivery fidelity. Productizes repeatable offerings, develops reference architectures and pricing models, builds partner relationships, mentors architects, applies AI tools to pre-sales workflows, and supports thought leadership and practice development.

Leads complex technical pre-sales pursuits from discovery through solution design, architecture reviews, proof-of-concepts, proposals, and deal closure. Builds staffing plans, estimates, SOWs, TCO models, reference architectures, and scalable offerings while maintaining a personal sales target. Develops partner relationships across major cloud platforms, mentors architects, applies AI tools to pre-sales workflows, supports delivery transitions, and provides ongoing architectural governance.

Owns client narratives from discovery through proof-of-concept, translating business problems into scoped technical solutions. Leads technical presales engagements, solution workshops, RFP responses, SOW scoping, estimates, staffing plans, demos, and partner co-selling while carrying revenue accountability. The role also develops AI-focused solution assets, maintains partner relationships, mentors consultants, and ensures delivery fidelity after deals are sold.

Develops employee and leadership communications supporting newly acquired-company onboarding and organizational transitions. Translates complex business processes, system changes, timelines, and employee impacts into clear announcements, FAQs, presentations, talking points, and transition materials. Collaborates with onboarding teams, functional leaders, subject matter experts, Learning and Development, Corporate Communications, and Marketing while managing multiple deliverables and adapting messaging for varied audiences.

Owns the architecture and design authority for enterprise data migrations from Oracle ATG to commerce platforms. Defines source-to-target mappings, migration versus federation decisions, reconciliation, phased regional cutovers, rollback, and data correctness standards. Reviews delivery-team and AI-assisted outputs, defends designs with clients, and collaborates with technical and business stakeholders. The role requires expertise in Oracle and SAP ECC data structures, commerce object modeling, stakeholder management, and AI capabilities.

Leads the integration workstream for an Informatica SaaS MDM implementation. Designs, develops, tests, deploys, and supports batch, real-time, API-based, and event-driven integrations across enterprise systems. Establishes architecture and development standards, manages source-to-target mappings and reconciliation, troubleshoots production pipelines, and ensures governance compliance. Mentors offshore developers, conducts code reviews, and collaborates with business, MDM, data quality, and source-system teams throughout project delivery.

Runs end-to-end data readiness assessments across enterprise source systems, including source connections, scans, profiling, quality analysis, scorecards, issue lists, and migration baselines. Validates findings with SQL, investigates defects, evaluates duplicates and sensitive data, establishes tolerances, and translates results into migration design, effort, and reconciliation decisions while collaborating directly with client data stewards.

Own end-to-end VP-and-above and C-level executive searches across the U.S., India, and Latin America. Responsibilities include market mapping, sourcing, assessment, stakeholder advising, offer negotiation, closing, candidate experience, talent community development, pipeline management, and post-hire success tracking. The recruiter must maintain a strong IT services network, use AI tools to improve search efficiency, manage confidential information, ensure compliant processes, and deliver measurable hiring outcomes.

Develop and deploy Adobe Experience Cloud solutions, primarily Adobe Launch, Analytics, and Target, for enterprise clients. Responsibilities include requirements analysis, technical specification development, JavaScript and media-tag implementation, QA/UAT testing, solution design, effort estimation, client collaboration, mentoring, and supporting business development. The role requires managing multiple projects while delivering high-quality implementations within Agile development processes.

Leads technical delivery for Salesforce Marketing Cloud engagements, owning solution architecture, data models, integrations, standards, code and configuration review, testing, deployments, and client technical discussions. Builds journeys, automations, data extensions, content, AMPscript, and server-side JavaScript while validating segments and platform capabilities. Uses and governs AI tools for development, documentation, review, and testing. Mentors consultants and supports adoption of Marketing Cloud Next and Data 360.