Top Tech Jobs & Startup Jobs

Acquire and grow enterprise SaaS customers in New York through prospecting, outbound outreach, demos, contract negotiation, and full-cycle sales ownership. The Account Executive will build pipelines, manage channel and technology partners, collaborate with Microsoft sales teams, guide customers from initial contact through contract signing, and consistently exceed territory quotas.

Develop and improve home energy simulation software, implement and maintain building energy codes and standards, collaborate with energy model developers, support internal teams and customers with energy modeling questions, and use AI-assisted development tools. The role combines software engineering with heat transfer, thermodynamics, and building science expertise.

Develop and maintain options valuation and risk management systems. Responsibilities include full-cycle software development, requirements gathering, solution design, coding, code reviews, troubleshooting, performance improvements, documentation, and collaboration with traders, risk managers, quantitative analysts, and support teams. The role requires object-oriented programming, data analysis tools, and strong knowledge of mathematics, statistics, probability, stochastic calculus, numerical methods, and linear algebra.

Associate Legal Counsel will support commercial contracting, serving as the primary legal partner to Sales and advising on subscription agreements, data licenses, vendor contracts, AI data-use terms, privacy, regulatory compliance, intellectual property, disputes, transactions, and litigation. The role requires managing high-volume matters autonomously and collaborating with business, product, finance, IT, security, and external counsel.

Design, implement, and maintain production-oriented NLP and LLM models; build data pipelines and HPC analyses; integrate ML solutions with clinical research tools; ensure data quality, privacy compliance, and collaborate across multidisciplinary teams.

Own Deepgram’s conversational design discipline for voice agents, including persona, turn-taking, interruption, repair, confirmation, pacing, and latency-aware behavior. Partner with ML and Engineering to ship conversational systems, establish quality evaluations and transcript review practices, and create reference agent experiences and developer guidance for the Voice Agent API. Define design principles, standards, and shared vocabulary while influencing technical partners without direct authority.

Leads Prolaio’s enterprise information security and cloud operations strategy for an AI-driven healthcare platform. Owns cybersecurity, continuous compliance, cloud infrastructure, threat modeling, vulnerability management, identity and access management, incident response, vendor risk, and AI security. Establishes security-as-code and automated compliance frameworks supporting HITRUST, ISO, HIPAA, FDA, GxP, and privacy requirements while partnering with engineering, data, clinical, and executive teams.

Build and maintain AI-powered marketing agents and automations for content generation, campaign instrumentation, attribution, reporting, and reusable content systems. The role supports tracking marketing impact from lead generation through closed-won revenue and collaborates with marketing, executive, and product teams. Candidates should be comfortable coding, building independently, using AI and LLM tools, and demonstrating work through GitHub. Experience deploying simple services and understanding marketing funnel metrics is preferred.

Own the strategy, performance, growth, partnerships, and roadmap for CouponFollow’s browser extension and mobile apps. Lead consumer product business planning, revenue and KPI accountability, acquisition and retention analytics, CPA/CPI partnerships, affiliate distribution, creator growth, compliance, and cross-functional execution with product, engineering, data, legal, and leadership teams.

Develop and maintain production machine learning models, build scalable training and serving technologies, optimize real-time and batch ML pipelines, and monitor model performance and drift. The role involves deep neural networks, recommendation systems, automated retraining, ML research, engineering excellence, and communicating technical concepts to diverse audiences. Candidates need 6+ years of industry ML experience, strong coding skills, and experience deploying neural networks at scale.