Top Tech Jobs & Startup Jobs

Own the strategy, roadmap, and results for AI-powered marketing products spanning discovery, content, websites, email, social, and paid channels. Drive product quality, cross-channel integration, measurement, attribution, client adoption, retention, and revenue. Lead customer betas, develop business cases, and collaborate with engineering, design, AI/ML, client success, and sales to deliver high-impact marketing automation capabilities.

Build and deploy production agentic AI systems embedded within Customer Support, Sales, Marketing, Finance, and Product teams. Own technical delivery from discovery through launch and support, integrating internal systems with Python or TypeScript, SQL, and APIs. Work directly with stakeholders to understand workflows, debug live deployments, create reusable agent playbooks, and deliver measurable process improvements.

Develop and deploy well-tested, efficient software for dealer-facing inventory products. Support and improve core systems, integrate AI coding tools, and collaborate with data scientists and product managers across technical design, implementation, testing, and performance measurement. The role involves front-end development with React and JavaScript, backend development with Java and SQL, and work involving distributed systems and microservice architecture.

Research and develop real-time AI algorithms for audio source separation, target sound extraction, and speech enhancement. Work with single- and multi-microphone recordings, spatial cues, auxiliary sensors, and challenging acoustic conditions. Train and evaluate PyTorch models while assessing perceptual quality, latency, memory, and computational efficiency. Collaborate with DSP and embedded software teams to deploy models on physical devices and contribute to patents and research publications.

Design, develop, and maintain simulation orchestration, quantitative research, financial analytics, and experiment management software. Build scalable distributed systems, testing frameworks, visualization tools, and performance-monitoring solutions. Modernize software infrastructure supporting data-driven trading decisions, debug complex systems, analyze bottlenecks, and improve accuracy, computational performance, reliability, and cost efficiency.

Build and scale production machine learning solutions for lottery fulfillment. Develop and optimize computer vision and multimodal models, fine-tune and evaluate models, create data pipelines and evaluation frameworks, and deploy models on cloud infrastructure. Integrate models into real-time systems involving image processing, barcode decoding, and OCR. Collaborate cross-functionally, improve engineering standards, mentor teammates, and support reliable nationwide expansion.

Own new-business growth for Nexthink across an enterprise territory. Build territory and account plans, prospect into large organizations, create executive demand, manage complex sales cycles, lead discovery and proof-of-concept processes, develop business cases, negotiate contracts, and close deals. Engage IT and executive stakeholders while partnering with marketing, channel, solution consulting, and services teams. Sell software, services, and support while exceeding bookings targets and developing expansion opportunities.

Lead and scale Uniphore’s global revenue engine, owning sales strategy, targets, forecasting, organization design, hiring, pipeline generation, deal execution, enablement, compensation, and strategic customer relationships. Partner with the CEO, board, product, marketing, and alliances teams to refine the go-to-market motion for AI, cloud, and industry solutions. Build a scalable sales operating system and global enterprise sales leadership bench in a high-growth, founder-led environment.

Manage and develop a team of 8–10 Account Executives, overseeing sales coaching, forecasting, pipeline reviews, quotas, metrics, negotiations, and sales strategy. Build cross-functional relationships, maintain competitive and product knowledge, and drive revenue growth in a fast-paced SaaS startup environment.

Build and operate production AI agents and automated workflows for business teams. Develop trusted data foundations on Databricks, integrate SaaS and internal systems through APIs and orchestration tools, and implement evaluation, monitoring, cost, latency, and failure instrumentation. Partner with Data Engineering, Data Science, Core Engineering, and business stakeholders to deliver reusable agent components, APIs, documentation, and production workflows handling regulated consumer data.