Top Tech Jobs & Startup Jobs in NYC, NY

Lead and scale the HR Business Partner function for R&D and other orgs, manage performance cycles, succession planning, employee relations and investigations, provide coaching to managers, analyze HR metrics to inform retention and culture strategies, and champion company culture. This role reports to the CFO and has direct report(s).

Own end-to-end logistics for Garners multi-day Tier 1 events: venue and vendor management, rooming, transportation, budgets, onsite execution, production schedules, and post-event reconciliation. Manage RFPs and contracts, coordinate vendors and stakeholders, build event plans in Asana, and serve as the operational lead onsite. Travel up to 50% required.

Lead revenue operations for sales, account management, and customer success by owning processes, metrics, and ad-hoc analysis. Optimize tools (Salesforce, Outreach, HubSpot), integrate people/process/systems strategies, escalate and resolve revenue issues, and provide data-driven insights to support growth and executive decision-making.

Lead end-to-end delivery of custom technology solutions across supply chain functions (planning, manufacturing, warehouse, logistics, merchandising). Define architectures and roadmaps, identify agentic AI use cases, guide development/testing/deployment, lead cross-functional teams, manage scope/timelines/budgets, and run client workshops to translate technical solutions into business outcomes.

Develop advanced algorithms, apply machine learning, collaborate with clients, and assess new datasets and technologies for data science projects.

The Forecasting Decision Analytics Consultant leads forecasting projects, develops models, engages clients, and manages cross-functional teams to deliver strategic insights and solutions.

Manage and optimize search, social, and native advertising campaigns, traffic and distribute ad products, analyze pacing and performance, control media budgets and accruals, respond to stakeholders, and assist with reporting and forecasting to meet client obligations.

Design and implement Android features from design through launch, optimize mobile UX and performance, perform code reviews, evaluate technical tradeoffs, and use AI tools to streamline development while maintaining security and production-quality code.

Design and scale critical, highly-available services; set technical direction across teams; apply best practices for availability, scalability, cost, and operational excellence; leverage AI tools and high-velocity workflows; mentor engineers and solve ambiguous, company-wide technical problems.

Build high-performance trading tools and large-data research platforms in small teams. Design system architectures, develop resilient production software, and apply distributed computing, NLP, and machine learning to solve complex quantitative problems while collaborating with engineers, traders, and researchers.

Join as an FPGA engineering intern to design, implement, and test FPGA solutions for ultra-low latency trading systems. Improve system efficiency and performance via RTL coding, synthesis, simulation, and hardware validation while collaborating in small teams with engineers and business stakeholders.

11-week software engineering internship building high-performance research platforms and trading tools. Work in small teams to design systems, develop platforms and web frameworks, and apply distributed computing, NLP and machine learning. Collaborate with senior engineers, network with peers, and contribute code that rapidly moves into production.

Lead international Salesforce platform strategy and deployments: run discovery, align stakeholders, create roadmaps and repeatable playbooks, manage program execution, governance, readiness, and value realization across regions.

Lead the creation and operation of Fora's agency business: own onboarding, implementation, and account management for agencies; build SOPs and GTM playbooks; close gaps in training, tools, and partnerships; act as external leader to agency principals; and scale into portfolio P&L leadership by hiring and coaching General Managers and tracking agency performance.

Lead end-to-end payments operational quality for booking ingestion, commission tracking, and advisor payouts. Build scalable processes and automation, partner with Finance, Product, and Engineering, run metrics and reporting, and manage a distributed team to ensure accurate, timely payouts and operational excellence.

Senior ML engineer building and deploying deep learning models (transformers, foundation models, transfer learning) for oncology real-world data. Responsibilities include research and development of predictive models (digital twins, endpoint prediction, trial optimization), extending models across data sources, supporting client engagements, and partnering with product and engineering to productionize reproducible, maintainable solutions while communicating results to technical and non-technical stakeholders.

Lead paid social and emerging channel strategy and execution, managing multi-million dollar budgets and full-funnel campaigns. Design and run experiments, own creative testing and AI-powered workflows, partner cross-functionally on landing pages and launches, and measure paid acquisition impact on pipeline and revenue.

Design and build a proto-driven code-generation pipeline to emit Go SDKs, CLI commands, and Terraform resources. Own API service framework components end-to-end, enforce API standards, collaborate with teams on API design, improve developer experience, and mentor engineers.

Build and operate Go-based backend services and APIs to manage hardware lifecycle (RMA, data center operations, node repairs). Design scalable, reliable microservices, integrate vendor APIs, manage databases for operational and reporting use cases, and deploy/operate services on container platforms.

Design, build, and operate large-scale data ingestion, storage, and query systems for AI/ML experiment tracking. Architect and optimize distributed backend services (petabyte-scale), implement customer-facing APIs, run services on Kubernetes/cloud, diagnose production issues, lead architectural initiatives, and mentor junior engineers.