Top Tech Jobs & Startup Jobs in Las Vegas, NV

Own and evolve ClickHouse's Python connector and SDKs; build and maintain integrations with orchestration and transformation tools; design AI/LLM integration patterns (RAG, embeddings, feature stores); engage with open-source community; collaborate with Product and Cloud teams to prioritize and ship production-grade data integrations.

Lead the planning discipline across the GTM funnel, overseeing architecture, capacity modeling, and team development. Collaborate with executives to drive revenue strategies.

Develop AI/ML-powered features in ClickHouse Cloud, focusing on frontend and API architecture, UI/UX, and integrations with AI systems.

Design original Olympiad-level math problems, evaluate AI-generated solutions for correctness and rigor, and produce clear, high-quality reference solutions and reviews to improve AI mathematical reasoning.

Evaluate and improve AI-generated enterprise sales workflows, create gold-standard examples for prospecting through proposals, design evaluation rubrics, perform simulated end-to-end sales tasks in modern platforms, produce executive-facing sales materials, and collaborate with researchers and SMEs to enhance AI sales reasoning.

Remote independent-contractor research role for verified Google Business Profile owners/administrators. Participants will manage and review GBP content, follow project guidelines, provide written feedback, and help improve AI understanding of local business profiles. Flexible schedule; weekly payments based on approved work.

Develop creative campaign strategies rooted in consumer psychology for frequent product launches. Translate cultural insights into narratives, collaborate with Design/Marketing/Production, analyze campaign performance, and build a new creative strategy function within a global remote team.

As a Clinical Project Manager II, you will oversee execution and delivery of clinical studies, manage vendor activities, and track project progress, focusing on oncology and hematology trials.

The Principal Data Scientist Consultant will develop and maintain clinical datasets using R, ensure CDISC compliance, generate reports, and contribute to internal tools while collaborating with clinical teams.

Own and deliver server-side features end-to-end for a cloud-hosted accounting SaaS: design data models and APIs, improve performance and reliability, mentor engineers, ensure observability and on-call readiness, collaborate with product and clients, and apply AI-assisted development safely to accelerate delivery.

Drive growth across national convenience-store accounts by owning revenue, distribution, and velocity targets. Lead buyer meetings, modular resets, and promotional strategies; analyze POS and syndicated data to identify opportunities. Coordinate cross-functionally on supply, forecasting, and execution while managing retailer relationships and in-store execution through regular store visits and market walks.

Lead solutions marketing for financial-crime risk management SaaS: craft messaging and positioning, build solution-to-market plans, create sales collateral and thought leadership, run multi-touch campaigns, set KPIs and track performance, collaborate with product, sales, and analysts to drive adoption and pipeline.

Own Salesforce and GTM reporting infrastructure, produce executive/board-ready revenue and performance reports, manage CRM hygiene and integrations, support forecasting, quota and territory planning, run deal desk operations, and deliver insights to optimize sales processes and strategy.

Recruit, onboard, enable, and manage channel partners (MSPs/MSSPs/VARs) across territories. Drive partner sales and quota attainment, deliver technical and sales enablement, execute marketing programs, manage deal registrations, communicate product launches, and maintain strategic partner relationships to grow pipeline and revenue.

The role involves resolving escalated technical issues, deploying Cynet's security platform, collaborating with teams, and mentoring Tier 1 support.

Evaluate, label, classify, and validate data per project guidelines to ensure dataset accuracy and consistency for AI model training. Identify edge cases, perform quality checks, provide feedback, and meet productivity and quality targets while working independently and remotely with required PST overlap.

Translate and localize content between English and Hebrew, edit for accuracy and tone, apply language standards, provide feedback to improve language model quality, collaborate with production teams, support localization and QA for digital tools, and perform creative transcreation when required.