Top Tech Jobs & Startup Jobs in NYC, NY

Manage 5-10 enterprise customers as a technical advisor for platform usage, integrations, and architecture. Translate requirements into product features, drive adoption, coordinate escalations, lead QBRs and integration reviews, and monitor platform health and KPIs.

Document and maintain company processes, system requirements, and knowledge bases. Create training materials, visual workflows, and clear communications. Manage version control, gather business requirements, support project rollouts, participate in testing, and partner with stakeholders to ensure alignment and quality.

Lead the Implementations Software Engineering team to build scientific applications and integrate enterprise systems with Uncountable's platform. Collaborate with internal engineers and external stakeholders, provide technical architecture direction, and engage with customers to transform R&D workflows.

Build and publish data-driven research coverage of US IPOs and direct listings (>= $100M). Produce pre-IPO tearsheets, valuation/pricing, Excel models, post-IPO trading summaries and lock-up expiry previews. Provide high-touch pre- and post-deal services, bespoke NDA-driven notes, and direct desk access for institutional clients.

Partner with Account Executives to lead the technical sale end-to-end: discovery, solution design, demos, POCs, and technical close. Architect Tray.ai-based solutions, build POCs, influence deal strategy, and help buyers design and build AI-driven use cases. Represent Tray externally and contribute reusable SE assets and learnings.

The Solutions Operations Lead manages AWS cloud operations, overseeing deployment automation, DevSecOps practices, and infrastructure reliability while mentoring engineering teams and ensuring compliance and security.

Lead development and global rollout of a research framework for training and deploying trading models. Partner with quantitative researchers to test hypotheses, develop data-driven trading strategies and alpha signals, and integrate models into production workflows.

Support pre-sales by running technical demos and deep dives, build ROI cases for prospects, and own the first 4–8 weeks of customer onboarding: tenant configuration, training, risk spotting, and handoff to Customer Success while feeding product feedback.

The Program Manager will lead and improve the PowerUP Operational Excellence program by modernizing training, coaching candidates, and driving learning adoption across the enterprise.

The Data Scientist will analyze data for risk and trading in Daily Fantasy Sports, develop predictive models, and monitor real-time data.