Top Tech Jobs & Startup Jobs

Design and enhance user experiences for software products and solutions. Conduct user research, create personas and journey maps, develop interactive prototypes and interfaces, and apply human-centered design to improve usability and accessibility. Collaborate with cross-functional teams and clients to develop innovative design strategies, interpret data, address complex challenges, and incorporate emerging technologies into product solutions.

Leads teams designing and deploying AI-driven enterprise and cloud security solutions. Responsibilities include developing machine learning systems, integrating data infrastructure and pipelines, performing advanced modeling and analysis, and building AI applications with Python, Java, and C++. The role involves client engagement, strategic problem-solving, stakeholder validation, coaching, process innovation, and operational excellence while addressing complex cybersecurity and privacy challenges.

Leads visual and product experience design for innovative software products and services. Guides teams in applying human-centered design, UX research, and UI prototyping to improve user and customer experiences. Manages project planning, budgets, execution, timelines, quality, and client deliverables. Analyzes industry trends, resolves stakeholder conflicts, mentors designers, manages performance, and promotes the integration of creative design and research into project delivery.

Own GTM performance analytics, KPI and target setting, reporting, forecasting, compensation planning, and performance reviews across Sales and Post-Sales. Identify anomalies and optimization opportunities involving conversion, churn, productivity, pricing, packaging, segmentation, channel economics, and customer quality. Partner with Finance and GTM leaders to develop recommendations, lead strategic initiatives, and ensure data integrity while translating analysis into actionable business decisions.

Own the strategy, roadmap, architecture, and lifecycle for Qualtrics’ Core AI Understand layer. Lead capabilities spanning semantic systems, text analytics, prediction, simulation, benchmarking, agent infrastructure, retrieval, evaluation, observability, model infrastructure, governance, and safety. Partner with engineering, AI research, data science, design, product teams, and enterprise customers to define requirements, prioritize investments, measure quality and impact, and deliver reusable AI foundations across the company.

Build and operate ETL and data-ingestion pipelines consolidating OT cybersecurity data into Databricks. Develop Python and SQL solutions, data-quality controls, monitoring, and automation; analyze vulnerabilities and cyber risks; and create Power BI dashboards supporting remediation prioritization. Collaborate with cybersecurity, manufacturing, plant, and data engineering teams, document data processes, and improve OT vulnerability-management visibility and reporting.

Lead virtual propulsion analysis and simulation to define system and component requirements for energy consumption, performance, drivability, and regulatory targets. Evaluate ICE, hybrid, and electric propulsion architectures, conduct trade studies, develop analytical methods, coordinate global analysis teams, and present findings to engineering leadership. Collaborate with performance engineers and hardware teams to balance requirements and support next-generation propulsion system development.

Lead technical ownership of a General Assembly manufacturing zone from concept through launch and steady-state production. Responsibilities include process and tooling engineering, automation and equipment integration, launch execution, lean improvements, material flow optimization, PFMEA and safety compliance, KPI monitoring, supplier coordination, documentation, and mentoring. The role requires extensive travel, cross-functional leadership, and support during installations, build events, production recovery, weekends, holidays, and off-shift operations.

Provides senior-level administrative support to an SVP and multiple VPs within Technical Operations. Responsibilities include complex calendar and meeting coordination across time zones, travel and expense management, event preparation, presentation and correspondence editing, note-taking, office administration, stakeholder follow-up, and special project support. The role requires confidentiality, professionalism, strong organization, and advanced proficiency with Microsoft Office tools. It follows a hybrid schedule with at least four office days per week.

Supports advertising technology integration strategy and delivery from discovery through launch. Responsibilities include gathering requirements, mapping interfaces and data flows, coordinating technical stakeholders, tracking risks and dependencies, creating test plans and documentation, troubleshooting integration issues, validating launches, and supporting operational handoffs. The role also applies approved AI tools to accelerate analysis, documentation, testing, issue triage, and repeatable workflow automation with appropriate human review.

Owns enterprise AI products and agents from strategy through launch, adoption, optimization, and measurement. Defines analytics frameworks, success metrics, instrumentation, dashboards, and reporting for agentic workflows. Partners with Product, Engineering, Data, Program Management, governance, legal, and security teams to improve agent effectiveness, reliability, quality, privacy, and business impact. Leads roadmap planning, stakeholder alignment, executive communication, experimentation, and hands-on prototyping of AI agents and workflows.

Leads and scales Advisory, Delivery, and Support workstreams across a distributed technical services organization. Establishes shared operating standards, capacity planning, quality controls, SLAs, escalation processes, reporting, and governance. Oversees technical delivery outcomes, resource allocation, architecture quality, support coverage, hiring plans, onboarding, and partner collaboration. Partners with Enablement, Sales, Project Managers, and SI/GSI organizations to improve delivery predictability, utilization, client satisfaction, and technical excellence.

Develops marketing, sales enablement, and communications content for Comcast Business’s Advanced Technology Solutions portfolio. Creates copy and messaging across digital, print, web, email, presentations, and customer-facing channels; supports campaigns, launches, executive communications, thought leadership, and sales initiatives. Partners with marketing, sales, product, creative, digital, and external teams while maintaining brand consistency. Manages content libraries, conducts market and competitive research, monitors performance, and recommends improvements.

Manages direct sales teams and programs to achieve subscriber and cash flow goals. Partners with regional, divisional, headquarters, and IT teams to deploy sales initiatives, improve processes, assign sales routes, and track productivity metrics. Coaches supervisors and representatives, oversees training and product knowledge, validates sales and installation reporting, and drives quota attainment through performance management and cross-functional collaboration. Requires a variable schedule, including nights, weekends, and overtime.

Sell Comcast business internet, data, video, and voice services to small and midsize businesses. Responsibilities include territory development, lead generation, cold calling, consultative sales presentations, pipeline management, partnership building, competitive analysis, quota attainment, sales reporting, and coordination with technical and customer service teams to ensure customer satisfaction and revenue growth.

Develop and deploy Python data pipelines and business data objects. Design software solutions, implement source-to-target mappings, build CI/CD pipelines, resolve complex technical issues, and perform unit and integration testing. The role also promotes software quality, engineering best practices, team improvement, and development of digital data capabilities.

Perform independent software testing and quality assurance for complex applications and infrastructure. Design and execute automated, regression, integration, performance, and user acceptance tests; develop automation frameworks and test code; document and track defects; collaborate with product owners, developers, and end users; and support debugging, continuous integration, delivery, and end-to-end system testing.

Leads a Gen AI engineering team developing intelligent agents, digital assistants, and AI-driven customer experiences. Provides technical direction, manages resources, oversees team performance and development, establishes engineering best practices, and owns product quality. Requires strong software engineering, integration, testing, organizational leadership, program management, and cross-functional project delivery experience in agile, matrixed environments.

Design, develop, and maintain network datapath monitoring and observability infrastructure for GPU cloud services. Build real-time network telemetry and analytics pipelines across host networking, smart NICs, and overlay/underlay networks. Collaborate with DevOps, production, and data platform teams; troubleshoot Kubernetes and cloud networking issues; participate in on-call support, code reviews, architecture decisions, and continuous infrastructure improvements.

Design and implement distributed, exabyte-scale storage systems for AI workloads, including S3-compatible object storage and dedicated storage clusters. Improve storage reliability, durability, security, observability, throughput, latency, and resilience using technologies such as RDMA, GPU Direct Storage, and distributed filesystems. Monitor and troubleshoot production systems, develop performance dashboards, analyze telemetry, collaborate across infrastructure teams, and mentor engineers.

Design, build, and operate secure sandboxed runtime environments for Kubernetes and GPU-accelerated workloads. Develop GPU-aware scheduling, isolation, and resource management strategies; optimize container, VM, I/O, and GPU performance; conduct profiling and benchmarking; and contribute to Linux, container runtime, virtualization, and GPU driver architecture. Collaborate with security, platform, and infrastructure teams to establish runtime isolation and performance standards for multi-tenant systems.

Owns the architecture, design, development, integrations, and implementation of complex ServiceNow solutions. Configures platform components, establishes development standards, resolves complex issues, maintains Service Portal pages, and partners with stakeholders to deliver scalable, upgrade-safe solutions. Requires advanced JavaScript, ServiceNow administration and development expertise, API integration experience, and knowledge of ITIL and Customer Service Management processes.