Top Tech Jobs & Startup Jobs

Lead the design, operation, and modernization of large-scale infrastructure environments, including QEMU/KVM virtualization, private cloud, distributed storage, and infrastructure as code. Drive VMware-to-KVM migration, storage platform migration, monitoring, resilience, incident root-cause analysis, and automation. Mentor junior engineers, support CI/CD infrastructure, participate in on-call rotations, and provide technical leadership across distributed teams.

Manages and mentors a team of Mid-Market Account Executives, driving sales strategy, pipeline generation, forecasting, hiring, onboarding, and performance improvement. The role oversees the full outbound sales cycle, establishes activity standards, monitors funnel metrics, and coaches representatives toward quota attainment and career growth while selling SaaS and cloud solutions to mid-market companies.

Own the strategy, roadmap, backlog, requirements, and delivery of enterprise payment processing services. Develop API-based payment products, define use cases and acceptance criteria, collaborate with architecture and technology teams, engage clients, and support post-launch initiatives. The role requires strong expertise in card payments, acquiring rules, cloud technologies, microservices, Agile delivery, and scalable API platforms, along with stakeholder communication and up to 15% travel.

Manages and grows a portfolio of software partners within REPAY’s Consumer Payments division. Responsibilities include executive relationship management, partner health monitoring, renewals, contract negotiations, upselling, cross-selling, enablement, product adoption, issue escalation, CRM management, reporting, and revenue forecasting. The role partners cross-functionally with Sales, Product, Engineering, Operations, Sales Engineering, and Technical Account Management to improve retention, partner satisfaction, and payment volume growth.

Designs, builds, and operationalizes production data science, machine learning, generative AI, and LLM systems. Responsibilities include data and AI pipelines, predictive models, RAG applications, experimentation, MLOps, model serving, monitoring, governance, cloud migration, and business analytics. The role partners with Product, Engineering, BI, and Data teams to translate business problems into scalable AI solutions and measurable product or operational improvements.

Manages the department portfolio, roadmap, intake, prioritization, launch calendar, dependencies, risks, governance, and executive reporting. Partners with project, program, product, Finance, Accounting, and senior business leaders to align initiatives with enterprise priorities. Oversees portfolio budgets, forecasts, spending, accounting treatment, operational metrics, and continuous improvement while mentoring colleagues and facilitating cross-functional collaboration.

Own and maintain T-Mobile’s enterprise long-range financial model and forecasts, build driver-based models, analyze financial performance under GAAP and IFRS, and communicate findings to executives. The role supports FP&A, reporting, and accounting partners; improves forecasting, reporting, and automation processes; troubleshoots data issues; and develops insights from large datasets. This hybrid position requires three office days per week.

Designs and governs enterprise identity and access management architecture across hybrid environments. Responsibilities include single sign-on, federation, identity lifecycle, provisioning, entitlements, access packages, directory services, least-privilege controls, and Zero Trust security. The role analyzes requirements, evaluates emerging and AI-enabled technologies, develops roadmaps, prototypes solutions, and collaborates with leadership and technical stakeholders to implement secure, scalable architectures.

Lead lifecycle communications for Boost Mobile across email, SMS, and push. Design and build automated, data-driven journeys, perform segmentation and technical campaign configuration, analyze performance, integrate AI/predictive personalization, and align execution with stakeholder strategy to drive retention and engagement.

Delivers leadership development programs for front-line and mid-level managers through virtual and classroom training, workshops, coaching, and team-building activities. Partners with HR business partners and instructional designers to identify learning needs, refine curricula, and address performance gaps. Manages learning projects, LMS tracking, training logistics, evaluation metrics, and reporting. Uses AI productivity tools and workflow automation to improve administrative efficiency and program delivery.

Manages enterprise strategic sourcing and procurement, including RFx events, supplier negotiations, total cost of ownership analysis, contracts, requisitions, purchase orders, and vendor relationships. Ensures supply chain policy, regulatory, and SOX compliance while driving cost savings and improving purchasing workflows. Uses Oracle Purchasing, ERP, database reporting, AI-driven market intelligence, and automated EDI or cXML processing tools.

Lead product marketing for Flywire’s education software and payments platform. Own positioning, ideal customer profiles, buyer messaging, launches, sales enablement, competitive support, and customer insight programs. Partner with Product, Sales, Marketing, Partnerships, and RevOps to improve pipeline quality, conversion, win rates, and revenue. Use AI to scale marketing workflows and translate complex payment and software capabilities into compelling value propositions.

Own product positioning, ideal customer profiles, go-to-market launches, messaging, sales enablement, and customer insight for Flywire’s Travel solutions. Partner with Product, Sales, Marketing, Partnerships, and RevOps to improve pipeline quality, conversion, win rates, and revenue across hospitality and experiential travel segments. Translate complex payments and software capabilities into compelling value propositions, incorporate customer and market feedback, and use AI to improve marketing execution.

Provide first-line technical support for hospitality and e-commerce customers through Zendesk tickets, calls, and email. Troubleshoot platform issues using logs, developer tools, DataDog, and internal systems; resolve routine problems, document findings, and escalate complex issues to Tier 2 or Engineering. Maintain high-volume ticket performance, create SOPs and knowledge base content, identify bugs and workflow improvements, and communicate clearly with technical and non-technical stakeholders.

Provide first-line IT support with emphasis on macOS troubleshooting, hardware lifecycle (procurement, deployment, inventory, loaner pool), repair and warranty coordination, AV and accessories management, IT onboarding, device provisioning/shipments, office moves, and proactive hardware refresh planning.

The Process Integration Engineer will develop advanced DRAM technologies, lead troubleshooting, drive yield improvement, and mentor others within the BEOL team while ensuring technology transfers for high-volume manufacturing.

Contribute to DRAM process integration R&D by defining design rules and specs, collaborating across device, materials, and process teams, documenting integration plans and risks, evaluating architectures and scaling approaches, and using AI/AI-assisted tools and statistical methods to support technology development.

Directs end-to-end DRAM sample planning, forecasting, tracking, fulfillment, logistics, and reporting for external ecosystem partners. Manages purchase orders, delivery commitments, risks, validation timelines, and partner requirements while coordinating with Engineering, Planning, Operations, Sales Operations, and other teams. Analyzes complex data, builds dashboards and leadership reports, provides actionable insights, and improves sample management processes.

Provide data advisory services to client teams, maintaining expertise in healthcare data, managing data partnerships, and supporting data strategy projects.

Lead ZAIDYN's AI Engineering function to design, build, and ship an enterprise-grade agentic AI platform. Own architecture, integrations (AWS Bedrock/AgentCore), LLMOps/eval frameworks, observability, governance, and team hiring/operations. Ensure production readiness, cost/latency controls, auditability, and cross-functional delivery with product and QA while representing the platform externally.

Lead large-scale cloud, data, and GenAI-driven transformation programs for High-Tech clients. Build senior client relationships, design cloud-native architectures (AWS/Azure/GCP), drive delivery excellence across onshore-offshore teams, and grow accounts by creating reusable solution accelerators and go-to-market strategies.

Leads technical strategy for complex enterprise sales opportunities across the Americas. Designs solution demonstrations, architectures, proof-of-concepts, and ROI-based value propositions for digital analytics and agentic AI solutions. Partners with account executives, customer success, product, and engineering; manages executive stakeholders; mentors Solutions Engineers; leads RFP responses; and influences the product roadmap. The role requires 20–25% travel and strong web technology, presentation, and enterprise pre-sales expertise.