Top Tech Jobs & Startup Jobs in NYC, NY

Own and improve product development operations, launch processes, cross-functional workflows, product knowledge, and enablement. Build AI-powered agents and automated workflows, maintain launch visibility, analyze product and customer signals, and provide actionable recommendations to product leadership. Collaborate across Product, Engineering, Marketing, Sales, Customer Success, and Support to improve alignment, efficiency, and operational excellence.

Lead product design across Datadog’s security products, managing and coaching designers across multiple offices. Set design direction, maintain quality, develop security-focused design systems, and partner with Product and Engineering leaders on roadmaps and cross-platform experiences. Drive product and business outcomes while bringing AI fluency to design workflows and software development. The role requires extensive design leadership, complex product experience, technical fluency, and hands-on use of AI coding tools.

Leads Datadog’s Community Advocacy team and global Ambassador, Champion, and User Group programs. Owns strategy, roadmaps, contributor journeys, customer storytelling, technical content, conference talk development, and program measurement. Manages and coaches Developer Advocates while partnering cross-functionally with Product, Engineering, Marketing, Events, Customer Success, and regional teams. Uses technical judgment, community insights, and data to strengthen practitioner engagement and customer participation.

Lead Datadog AI Research’s post-training and autonomous-agent research team. Set technical direction across reinforcement learning, simulated environments, synthetic data generation, evaluation, and agent training. Mentor researchers and research engineers while remaining hands-on in experimentation, model development, and technical problem-solving. Collaborate with Product and Engineering to commercialize research advances, contribute to publications and conferences, and open-source model artifacts and benchmarks.

Provides front-line People Team support, manages employee onboarding and offboarding, maintains employee data and organizational changes, coordinates with Recruiting, IT, Payroll, and managers, audits documentation, develops knowledge resources, supports compliance, and assists with salary and stock administration.

Leads engineering teams responsible for Datadog Agent developer experience, build systems, correctness, performance benchmarking, and software supply-chain security. Evolves SDLC practices for a complex multi-language, multi-platform open-source project, including AI coding enablement, CI/CD, build infrastructure, testing, and reliability. Hires, mentors, and develops engineering managers and staff engineers across global teams while balancing velocity, security, and long-term platform investments.

Own recurring hosting cost reporting, close support, forecasting, cost allocation, savings reporting, and cloud margin analysis. Partner with FP&A leadership, Engineering, FinOps, Capacity Planning, Vendor Management, and Controllership. Maintain financial models, prepare review and board materials, support accounting files, and automate manual processes. Use tools including Excel, Pigment, Snowflake, Metabase, and Datadog Cloud Cost Management.

Designs, deploys, and operates resilient network infrastructure across global offices, including LAN, Wi-Fi, routing, switching, firewalls, automation, observability, and security. Leads architecture, RFCs, design reviews, migrations, incident response, root-cause investigations, and production readiness. Evaluates technologies and vendors, owns network service health and lifecycle, partners cross-functionally, mentors engineers, and improves reliability, operational standards, documentation, and change safety.

Own the roadmap for Datadog’s AI Agent Observability capabilities. Develop product strategy by researching customer needs, validating concepts with design partners, and understanding how teams build, evaluate, monitor, and troubleshoot AI agents. Collaborate with engineering, design, and go-to-market teams from concept through launch, while driving adoption, customer education, and product growth. Track AI ecosystem developments to guide priorities.

Serve as a cloud cost management and FinOps subject matter expert, advising enterprise customers on multi-cloud cost allocation, AI token attribution, Kubernetes costs, budgeting, anomaly detection, capacity planning, and optimization. Partner with field and product teams, create technical collateral, guide implementations, and influence product roadmaps. The role requires strong cloud infrastructure, observability, billing data, Python or SQL, architecture, and consultative customer skills, with travel up to 40%.