Top Tech Jobs & Startup Jobs in NYC, NY

Leads performance engineering across the organization by designing load-testing and data-generation frameworks, defining benchmarks and standards, analyzing application, database, and system behavior, and guiding teams in performance optimization. Builds reusable tooling and best practices using k6, JavaScript, Grafana, and InfluxDB while addressing scalability, latency, throughput, and reliability challenges in distributed cloud-native systems.

Provide fast, empathetic technical support for Attio's SaaS CRM via email, chat, and video; troubleshoot APIs, integrations and product issues; document bugs; contribute to knowledge bases; advocate customer needs to Product and Engineering; and help customers optimize workflows and automations to drive long-term value.

Build and maintain MongoDB’s distributed database infrastructure for cluster scalability. Design data partitioning, data movement, dynamic scaling, workload execution, and resilient distributed protocols. Solve complex performance and low-latency systems problems, contribute production-quality C++ code, participate in design and code reviews, lead new feature development, and mentor engineers.

The Senior Manager, HR Compliance is responsible for developing and executing a compliance framework across the Americas, managing immigration and global mobility programs, and ensuring adherence to applicable laws and regulations while fostering a culture of compliance within the organization.

Launch WatchDog’s peer-to-peer dog-care app in NYC and Brooklyn by creating and managing social media content, appearing in promotional content, planning events, promoting the app at dog parks, posting flyers, and engaging users through online forums, comments, direct messages, and Reddit. The role targets 5,000 paid members during a one-month contract, with potential extension, broader growth responsibilities, and future compensation opportunities based on performance.

Own post-sale client relationships for a private fund management platform. Manage implementation, adoption, value realization, account health, and retention while coordinating internal teams and resolving complex customer issues. Guide clients through change management, product workflows, and measurable success planning. Translate feedback into internal action plans, identify expansion opportunities, support advocacy efforts, and mentor junior customer success managers.

Lead global regulatory strategy and compliance for Fora’s international expansion. Responsibilities include evaluating market-entry requirements, advising international teams, coordinating local counsel, developing policies and legal frameworks, overseeing privacy and regulatory compliance, engaging with regulators, managing audits, and maintaining registrations, licenses, filings, bonding, and reporting obligations across jurisdictions.

Lead high-impact, cross-functional strategic initiatives alongside executives. Define priorities, scope and execute projects end-to-end, perform quantitative and qualitative analyses, design process improvements, build operating metrics and reporting, and align Product, GTM, and Sales to drive growth and efficiency.

Own the vision, strategy, and roadmap for Vercel’s Dashboard, evolving it into a personalized, agent-powered control plane. Define agent interactions, proactive insights, information architecture, and cross-product design patterns. Partner with engineering and product teams to optimize performance and consistency, while running experiments and analyzing onboarding, adoption, and engagement metrics. The role requires experience building developer-facing dashboard or control-plane products, with strong product design, analytics, and AI perspectives.

Lead and grow a 3–5-person engineering team while owning observability, evaluation frameworks, scalable integrations, and the customer-facing Copilot product. Contribute hands-on Python and TypeScript code, troubleshoot production issues, guide reliability and scalability efforts, partner with Product and engineering teams, remove blockers, mentor engineers, and support hiring.

Supports pricing, packaging, margin analysis, and commercialization of AI features. Responsibilities include modeling API and inference costs, analyzing usage and unit economics, evaluating credit and usage-based pricing, defining SKUs and entitlements, modeling promotions, monitoring commercial performance, researching AI providers and competitors, and presenting findings to cross-functional stakeholders. Partners with Finance, Data Science, Product, Engineering, and Billing teams.