Top Tech Jobs & Startup Jobs in NYC, NY

Lead strategy and execution for Attentive’s autonomous AI marketing agent. Define its product thesis, roadmap, customer value, evaluation framework, and operating loop while partnering with engineering, AI/ML, data science, design, GTM, executives, and customers. Own product outcomes and co-own revenue, ensuring the system is reliable, measurable, trustworthy, and scalable for enterprise brands.

Build, scale, and operate production-grade machine learning systems supporting real-time personalization. The role involves developing scalable data analysis and model-development processes, validating and implementing models, protecting system quality through testing, collaborating cross-functionally, and leading machine learning initiatives. The engineer will work extensively with Python, modern ML frameworks, large-scale data systems, and AWS-based infrastructure while providing technical leadership.

Build, scale, and operate production-grade machine learning systems powering real-time personalization. Develop and validate models, scalable data-analysis processes, and automated ML workflows using modern frameworks and large-scale data. Lead cross-functional ML initiatives, improve system quality, prevent regressions through testing, and collaborate with Product and Engineering to deliver data-driven products.

Lead architecture and implementation of Attentive's Onsite Growth platform, building scalable backend services, APIs, and shared infrastructure. Drive cross-functional technical strategy with product, design, ML, and data teams, improve system reliability and observability, and mentor engineers. Identify and remediate systemic risks while enabling experimentation and AI-driven optimization to increase onsite conversion and list growth.

As a Senior Machine Learning Engineer, you will build and operate scalable ML systems, oversee projects from inception to deployment, and improve system performance while collaborating with cross-functional teams and mentoring junior engineers.

Drive expansion, upsell, renewal, and retention opportunities across strategic customer accounts. Build executive relationships, identify growth opportunities, manage pricing negotiations, forecast pipeline, present usage and engagement data, and close commercial deals. Partner with Customer Success, Legal, Finance, and Deal Enablement teams while managing customer commercial inquiries. The role focuses on Fortune 100 retail and e-commerce accounts and requires strategic account development, quota attainment, objection handling, and up to 25% travel.

Lead Attentive’s cloud platform organization, overseeing AWS infrastructure, Snowflake and centralized data platforms, database infrastructure, DevOps, and cloud cost optimization. Set technical strategy, improve reliability and operational standards, lead migrations, build self-service developer workflows, and develop engineering managers and technical leaders. Partner across Engineering, Product, Finance, and Developer Experience to improve infrastructure efficiency, scalability, security, and delivery speed.

Leads and scales a team of Mid-Market Account Executives responsible for new-business revenue. Oversees coaching, outbound pipeline generation, deal strategy, forecasting, performance management, hiring, and seller development. Partners with cross-functional teams to improve go-to-market execution, positioning, and sales processes. The role also uses data and AI-enabled workflows to improve sales efficiency and revenue performance in a high-growth SaaS environment.

Support the Data Integrations & Platform team by prioritizing martech integration opportunities, managing partner onboarding and API access, organizing technical documentation, prototyping autonomous AI agents, and defining an integration context layer. Measure process performance and improve agent success rates while collaborating with engineers and AI tooling.

Lead the technical direction of Attentive’s compute and networking platform. Build reusable AWS infrastructure, Kubernetes systems, APIs, and self-service tools while improving reliability, scalability, cost efficiency, security, and developer productivity. Own complex cross-team initiatives from design through production, diagnose sophisticated infrastructure issues, improve CI/CD and observability, mentor engineers, and establish effective AI-assisted development practices.