Top Tech Jobs & Startup Jobs

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.

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.

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.

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.

Build and deploy scalable full-stack healthcare AI products alongside the founders. Responsibilities include orchestrating reliable long-running AI agent tasks, integrating clinical information with web portals using LLM and computer-use techniques, auditing documentation against payer guidelines, and developing user-facing features with Next.js, React, and TypeScript.

Leads hotel sales efforts for meetings, events, and banquet business by prospecting, managing client relationships, negotiating contracts, forecasting revenue, and maximizing meeting-space utilization. The role drives individual and team revenue goals, conducts site inspections, coordinates with hotel departments, ensures guest satisfaction, mentors colleagues, and supports strategic sales execution. It requires strong hospitality sales expertise, financial understanding, communication, negotiation, presentation, and relationship-management skills.

Lead architecture and development of high-throughput document-processing services, primarily in Rust with C#/.NET support. Design distributed, highly available queue-driven systems; optimize performance, memory, concurrency, and reliability; evolve APIs and schemas safely; and operate services in production. Lead complex projects, mentor engineers, write technical designs, evaluate AI coding agents, collaborate across teams, and participate in on-call and incident response.