Top Tech Jobs & Startup Jobs in NYC, NY

Own ambiguous customer problems end to end, from user discovery and system design through implementation, evaluation, rollout, measurement, and production support. Build full-stack, AI-native product experiences involving interfaces, APIs, data models, orchestration, permissions, integrations, and reporting. Establish evaluation criteria, instrumentation, reliability practices, and reusable product primitives while collaborating with product, design, platform, simulation, research, and customer-facing teams.

Lead and grow the Platform engineering team building APIs, workflows, and interfaces that make simulations usable. Set technical direction, make architecture decisions, write code, turn research into reliable product features, hire and mentor engineers, and deliver high-quality production systems in an in-person NYC environment.

Design and build the platform that powers AI-driven simulation products. Create abstractions and framework-level code, partner with research and product to integrate simulation capabilities, and own platform architecture through implementation and iteration to make complex capabilities accessible to diverse users.

Lead product design across Aaru's AI-native platform: identify user patterns, ship prototypes and features, evolve the design system, experiment with agentic workflows, and hire/build the design team.

Own the full enterprise sales cycle for Aaru's AI-driven behavioral simulation product: prospecting, discovery, scoping, pitching, negotiation, and close. Develop targeted outbound strategies, manage multi-stakeholder executive deals, expand market segments, refine go-to-market playbooks, and maintain disciplined pipeline hygiene, forecasting, and CRM-driven account plans.

Source and secure high-value third-party datasets by mapping the data landscape, outreaching to vendors, coordinating sample reviews, evaluating data quality and value, negotiating licensing and commercial terms, and maintaining vendor records while partnering with research, engineering, and leadership to prioritize acquisitions.

Build and maintain scalable pipelines to ingest, clean, and integrate large multimodal datasets. Own ingestion across APIs, files, cloud storage, and warehouses. Design linkage, entity resolution, deduplication, and schema harmonization. Implement data quality checks, validation, and documentation. Collaborate with engineering, research, and deployment teams to prepare integrated data for simulations and evaluate new data sources.

Turn simulation research into production: productionize core simulation loop, design reusable agent/population abstractions, build evaluation and accuracy infrastructure, optimize simulations for scale, collaborate with researchers on hybrid LLM+classical architectures, enable deployment tooling, and produce analysis and publication layers for clients.

Manage end-to-end client relationships and deployments, scope engagements, deliver high-quality simulation-driven insights, coordinate engineering/product/commercial teams, represent the company to C-suite stakeholders, and identify new business opportunities across industries.