Top Tech Jobs & Startup Jobs

Lead backend-focused fullstack development, collaborate with Data/ML teams to design and deploy scalable, performant systems; own architecture, select tech stacks, and balance tradeoffs for rapid iteration and production deployment.

Build and lead scalable data and machine learning systems for an AI platform automating product regulatory compliance. Responsibilities include designing system architecture, selecting technologies, developing backend and internal services, collaborating with data and ML engineers, and balancing speed with scalability. The role requires strong Python, database, microservices, AWS, and Docker expertise, along with startup product development experience and technical leadership.

Own Daptic’s revenue operations function, including CRM and GTM systems, data quality, quote-to-cash processes, billing, procurement portals, reporting, forecasting, planning, territory and quota models, and commission administration. Partner closely with Sales, Growth, Finance, and leadership to improve pipeline visibility, revenue processes, and operational efficiency while building the function from the ground up.

Own the technical side of enterprise sales opportunities, including tailored demos, trial design, regulatory analyses, ROI modeling, and technical success measurement. Prototype customer-driven capabilities, create internal tooling and enablement materials, and communicate product architecture, data sourcing, AI methodology, integrations, and deployment to technical and executive stakeholders. Collaborate with account executives, regulatory engineers, Product, and Engineering while supporting customer evaluations and roadmap development.

Own cross-functional company initiatives from scoping through execution, translate ambiguous goals into measurable plans, and support leadership decision-making through research, analysis, proposals, KPIs, dashboards, and reporting. Run planning cycles, business reviews, and board preparation while identifying operational gaps and building processes and tooling. The role also supports office expansion, vendor negotiations, finance, and executive priorities in a fast-paced startup environment.

Own Daptic’s product marketing narrative, positioning, customer proof, public storytelling, launches, sales enablement, and customer communications. Translate complex regulatory and technical concepts into clear messaging for enterprise buyers across industries. Partner with founders, product, sales, engineers, and regulatory experts to develop content, case studies, thought leadership, product launches, and differentiated market positioning.

Lead the architecture and development of AI and NLP products that automate regulatory compliance for manufacturing companies. Own core models end to end, select technology stacks, guide experimentation and testing, balance speed with scalability, and collaborate with Product, Go-to-Market, Data, and customers to rapidly deliver production systems.

Build and own software, agents, integrations, and internal tools that support sales, growth, solutions engineering, and revenue operations. Automate trial and demo setup, provisioning, health reporting, customer analysis, regulatory deliverables, and account research. Work directly with go-to-market teams to identify constraints, prototype solutions, deploy production systems, and maintain monitoring and alerting. The role requires strong Python and SQL skills, API integration experience, AI fluency, rapid iteration, and close collaboration with customers and company leadership.

Own Daptic’s go-to-market strategy and operations for Japan, including enterprise customer trials, market positioning, pricing, account planning, product feedback, and scalable business processes. Conduct customer research, develop proposals and workshops, guide product priorities, and support enterprise growth. The role requires collaboration across Japan and New York, business fluency in Japanese and English, technical acumen, AI-tool experience, and occasional travel to Japan.

Own relationships, implementations, renewals, and expansions for enterprise manufacturing accounts. Map customer workflows, configure deployments, lead onboarding and strategy sessions, demonstrate product value to executives, identify growth opportunities, and manage annual deal cycles. The role requires strong commercial, analytical, technical, organizational, communication, and customer-facing skills, familiarity with AI tools, and onsite work in New York City with up to 50% travel.