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

Design, implement, and operate low-latency, highly available distributed control, data, and observability systems. Build region-spanning architectures, libraries, protocols, and tooling; diagnose and harden critical paths using metrics, tracing, testing, and real traffic; and shape platform capabilities around identity, scheduling, observability, and distributed state management.

Drive inside sales efficiency by building onboarding and playbooks, managing Salesloft cadences, producing reporting and analytics, coordinating cross-functional campaigns, and handling administrative sales operations to enable Account Executives and improve performance.

Lead enterprise go-to-market and sales for digital transformation initiatives, build pipeline with Adobe and Infosys partners, close complex multi-solution deals, drive revenue and forecasting, optimize sales process, and mentor the sales team to expand strategic partnerships and improve CRM-driven pipeline health.

Manage a portfolio of fast-growing clients to drive adoption, retention, expansion, and advocacy. Build strategic account plans, conduct QBRs, forecast risk, resolve issues, and collaborate cross-functionally to deliver ROI and maintain client health metrics (NPS, CSAT, retention). Produce client deliverables and operate with minimal supervision to influence strategic decisions.

Own technical strategy and hands-on architecture for digital engagement channels (chat, messaging, CTI), integrate CRM platforms like Salesforce, translate business needs into multi-year roadmaps, lead design reviews and production operations, drive end-to-end initiatives from prototype to launch and iteration, mentor engineers, and participate in hiring and cross-functional alignment.

Own and operate the learning technology stack for Community Support Training, lead an end-to-end LMS transition, manage integrations, vendor relationships, and reporting, drive tool roadmap and adoption, collaborate cross-functionally, measure platform performance, and lead a team of learning tools administrators.

Lead cross-functional initiatives to drive regional business objectives for the Americas. Own conception, execution, and measurement of growth and optimization programs; run business operations meetings; analyze data to surface insights and recommendations; present performance narratives to senior leaders; partner with product, marketing, legal, and operations to scale global initiatives.

Lead global supplier sourcing, qualification, contracting, and performance management for designated product lines. Negotiate agreements, manage supplier risks and CAPAs, develop secondary/tertiary sourcing strategies, and collaborate with Quality, Regulatory, Operations, Finance, and Legal to onboard suppliers and resolve issues.

Build and extend backend services and smart contracts for an on-chain payment pipeline. Implement calldata construction, signing, nonce management, L2 submission, custody integrations, audit logging, and automated tests. Maintain async transaction queues, enforce payment integrity controls, follow upgrade-safety and governance patterns, participate in on-call rotation, and collaborate with senior engineers to deliver reliable production features.

Own design and implementation of a greenfield analytical data platform: ingesting PostgreSQL and Kafka streams, establishing governance, data lineage, quality, monitoring, and compliance-ready pipelines. Evaluate AWS-native tooling, Snowflake, and Databricks; produce RFCs and documentation; mentor junior engineers and ensure analytical systems remain downstream of transactional sources.

Intern will help design, audit, and implement security guardrails for infrastructure and AI/data systems: identity governance (RBAC, OIDC/SAML), IaC templates, system hardening, security audits, data governance, and GPU/resource policy enforcement.

Designs, implements, and operates secure, scalable AWS-based AI/ML platforms (Bedrock, SageMaker, Kendra). Builds IaC, CI/CD, containerized inference (EKS/Docker), serverless pipelines (Lambda), monitoring, and governance for production Generative AI, RAG, and agentic workloads while collaborating with data science and engineering teams.

Lead design and implementation of scalable cloud data lakes, warehouses, and marts. Build ELT/ETL pipelines, apply Data Vault 2.0 and dimensional modeling, implement data quality, lineage, observability, and governance. Optimize Snowflake/Databricks/Synapse platforms, champion CI/CD and DataOps, mentor engineers, and enable AI/ML-ready data products through collaboration with architecture and product teams.

Provide technical support for Automation Anywhere products across cloud and on-prem environments: diagnose issues, analyze logs and workflows, troubleshoot infrastructure/configuration, handle tickets and remote sessions, escalate complex problems, document solutions, and participate in 24x7 rotational shifts to maintain high customer satisfaction.