Top Tech Jobs & Startup Jobs

Provides executive leadership for enterprise marketing strategy, brand positioning, demand generation, customer engagement, marketing technology, CRM, analytics, and growth initiatives. Leads marketing teams, budgets, agencies, campaigns, product launches, and cross-functional partnerships while establishing performance metrics and long-term market expansion priorities.

Sells parts, maintenance services, repairs, undercarriage products, and service agreements to assigned equipment accounts. Develops customer relationships, identifies rebuild and maintenance opportunities, grows parts and service revenue, conducts facility tours, promotes technology and eCommerce adoption, and maintains CRM call reports and sales funnels. The role requires daily travel to customer locations and territory management.

Supports revenue growth through lead generation, prospect qualification, customer outreach, appointment setting, CRM maintenance, and sales support. The role researches market opportunities, manages customer and prospect information, conducts telephone and email follow-up, evaluates lead sources, and prepares win/loss and sales performance analyses to guide business development decisions.

Leads sales strategy, forecasting, account planning, customer retention, regional marketing programs, recruiting, and development of a high-performing West Coast sales organization. The role drives pipeline growth, manages executive customer relationships, oversees reporting and business reviews, and ensures tactical execution across the region. Requires sales leadership and direct sales experience, subscription and software licensing expertise, KPI analysis, remote work, and at least 30% travel.

Supports cross-functional business operations across client onboarding, product delivery, compliance, reporting, and administration. Builds dashboards, troubleshoots client technical issues, and transforms recurring workflows into AI agents and automations. Contributes to strategic projects involving technology investments and operational scaling. The role suits an early-career professional with strong analytical, communication, client-facing, and AI-tool experience who is comfortable working independently in a remote, fast-growing startup.

Manage and grow a portfolio of B2B customer accounts, develop account-specific sales strategies, pursue new business, oversee order management, analyze performance, and improve retention. Build long-term customer partnerships, identify revenue opportunities, communicate product and promotional strategies, and educate customers on submission deadlines. The role is on-site in Sioux Falls, South Dakota, with periodic travel.

Leads strategic partnerships and sales performance across national accounts, driving revenue growth, account expansion, forecasting, presentations, negotiations, and customer relationship development. The role translates customer insights and market data into growth strategies, monitors account health, coordinates inventory planning, and collaborates cross-functionally to execute seasonal sales programs. Frequent travel is required, particularly during prebook periods.

Drive B2B revenue growth by managing customer accounts, executing sales plans, maintaining proactive communication, processing orders, identifying new opportunities, and supporting customer satisfaction across collegiate, lifestyle, and professional sports retail channels.

Lead optimization strategy and technical development for AI inference workloads on Intel GPUs. Architect high-performance software across compilers, runtimes, frameworks, GPU kernels, and hardware interfaces. Profile and benchmark complex workloads, identify bottlenecks, influence hardware-software co-design, evaluate emerging AI technologies, drive cross-functional initiatives, and mentor engineers. The role focuses on LLMs, generative AI, neural network execution, scalability, and performance optimization.

Lead full-stack design, development, and deployment of scalable applications using FastAPI and Vue.js. Integrate AI dev tools to improve workflows, manage AWS cloud infrastructure, build high-performance APIs, champion best practices, troubleshoot performance issues, and mentor junior engineers while collaborating cross-functionally.

Partner with engineering, product, and business teams to frame problems, conduct exploratory analysis, build statistical and machine learning models, write production modeling code, run experiments, and analyze data to guide product launch decisions. The role requires production-quality programming, forecasting, optimization, causal inference, and data pipeline development using MATLAB, R, and Python.

Build and maintain end-to-end web application features using React, TypeScript, Next.js, Python, and Flask. Responsibilities include frontend architecture, technical roadmap input, testing, documentation, deployment, stakeholder communication, code reviews, mentoring, and collaboration. The role uses AWS services, Kubernetes, and SQL or NoSQL databases while working in a hybrid San Francisco office environment.

Analyze pricing, driver earnings, and market data to influence product roadmaps. Develop hypotheses, analytical frameworks, predictive and quantitative models, financial and business models, data pipelines, and analytical tools. Collaborate with product leads to build scalable pricing systems and processes, while using optimization, programming, and machine learning to support business decisions.

Owns HubSpot administration supporting lead generation, qualification, nurturing, sales handoffs, integrations, data quality, automation, campaign tracking, attribution, and revenue reporting. Builds and troubleshoots workflows, manages HubSpot-Salesforce synchronization, maintains dashboards and documentation, monitors system performance, validates changes, and trains users. Partners with Marketing, Sales, RevOps, Salesforce administration, and website teams to improve pipeline operations and reduce manual work.

Own and develop HPC/GPU infrastructure for R&D and customer deployments. Design cross-platform CI/CD pipelines, manage on-premise and cloud Kubernetes clusters with GPU passthrough and MIG, configure self-hosted GitHub Actions runners, and maintain DockerHub registries. Assemble and tune physical GPU servers, manage PCIe topology and hardware constraints, and maintain compatibility across NVIDIA drivers, CUDA, and ROCm versions. Provide customer-facing technical assistance for GPU container deployments.

R&D intern developing and validating compiler features for high-performance computing. Responsibilities include analyzing CPU/GPU performance, reading PTX and LLVM assembly, implementing hardware intrinsics and mathematical algorithms, fixing compiler bugs, creating benchmarks and demos, and writing technical documentation. The role requires strong C++ or C# skills, understanding of memory management and object-oriented programming, and interest in CUDA, OpenMP, GPU architecture, algorithms, and numerical methods.

Lead customer-facing HPC deployments and serve as the escalation point for complex hardware, operating system, application, and compiler issues. Deploy and debug GPU-accelerated Kubernetes clusters across on-premises and cloud environments, using Python, C#/.NET, CUDA, and ROCm. Diagnose issues involving NVIDIA and AMD GPUs, high-speed interconnects, PCIe topology, and driver stacks. Create technical documentation, reproduce customer failures, and collaborate with engineering and R&D on bug reports and product improvements.

Own strategic enterprise accounts with 10,000+ employees, developing account plans, generating pipeline, managing complex six- and seven-figure SaaS deals, building executive relationships, and driving expansion. Partner cross-functionally with SDRs, Marketing, Engineering, Product, Customer Success, Legal, Finance, and leadership. Maintain accurate forecasts and CRM records while helping establish Tailscale’s enterprise sales playbook.

Own and improve Engineering, Product, and Design operational processes, including bug tracking, incidents, reliability, escalations, planning, reviews, and project tracking. Build Jira and Snowflake dashboards, analyze operational health data, identify trends, and implement process improvements. Partner with technical leadership in a remote startup, coordinate cross-functional initiatives, support retrospectives, and bring structure to ambiguous projects.