Top Tech Jobs & Startup Jobs in NYC, NY

Manages accounts receivable collections for an assigned book of business, analyzes payment patterns and aging reports, resolves billing disputes, handles customer inquiries through Zendesk, and develops client relationships to drive timely payment. The role also supports audits, compliance projects, and mentorship of junior team members while collaborating with Revenue, Sales, and Customer Success.

Lead product vision and roadmap for a Journey Monitoring hub that unifies RUM, Synthetics, and Product Analytics. Own end-to-end lifecycle, define functional observability, integrate AI-powered root-cause tools, engage customers, research competitors, and work with GTM to position Journey Monitoring for cross-team adoption and revenue impact.

Lead the internal platforms for Datadog's engineering organization, driving efficiency, cost-effectiveness, and product development. Oversee a team of Product Managers to improve platform adoption and operational efficiency while mentoring and developing the organization.

Lead and scale Datadog's Forward Deployed Engineering program: define operating model, build FDE offerings, hire and develop engineers, capture field product feedback, run lightweight engineering sprints to create reusable assets, and partner with Sales/SE/Customer Success to drive customer deployments and measure impact on adoption and ARR.

Own technically complex, cross-functional programs spanning engineering, product, and business functions. Surface systemic risks and dependencies, maintain executive visibility, drive alignment, and deliver outcomes across technical, product, operational, and organizational initiatives. Build AI-powered automation and program infrastructure to reduce manual coordination, synthesize risks, track dependencies, and streamline program lifecycles. Partner with senior engineering and product leaders using technical judgment across observability, infrastructure, data platforms, and AI/ML systems.

Leads complex, cross-functional technical programs across engineering, product, and business teams. Identifies systemic risks and dependencies, drives executive visibility, and owns outcomes through completion. Designs AI-powered automation and self-executing program infrastructure to reduce coordination overhead, improve risk detection, and accelerate delivery. Requires strong technical credibility in observability, infrastructure, data platforms, or AI/ML systems, along with senior-level communication and stakeholder influence.

Lead end-to-end strategic sourcing for AI spend, including foundation models, AI APIs, AI SaaS, and emerging neocloud/inference compute. Negotiate high-value vendor agreements, build pricing/consumption models, partner with Engineering and Finance on commercial decisions, drive AI automation in sourcing, track KPIs, and ensure compliant execution with Legal, Security, and Procurement Operations.

Lead and grow a product management team for Datadog's Bring Your Own Cloud (BYOC). Define vision, strategy, and roadmap to enable petabyte-scale ingest, index, search, analytics, and reporting in an AI-first environment. Partner with BYOC, Log Management, BitsAI, Platform, GTM and Solution Architects to drive onboarding, security/compliance offerings, and market adoption; gather customer insights and present to industry analysts.

Lead product vision and roadmap for a unified fleet and lifecycle management platform that manages observability agents and collectors across hosts and Kubernetes. Coordinate cross-functional engineering teams to expand supported components, define "managed" behaviors, sequence rollout, set success metrics, and represent customer needs for both human operators and AI agents. Build business cases, validate with customers, and communicate trade-offs to stakeholders.

Serve as a trusted technical advisor to enterprise customers, driving product adoption, providing hands-on IT operations guidance, performing environment analysis, conducting business reviews, collaborating with product and engineering teams, and improving best practices to maximize Datadog value.