Top Tech Jobs & Startup Jobs in NYC, NY

Own top-of-funnel global outbound: research target accounts, craft personalized outreach across email/LinkedIn/phone, run discovery calls, qualify prospects, and hand off opportunities to Account Executives while partnering with Sales, Marketing, Product and leadership to refine positioning and pipeline.

Develop and maintain open-source Python frameworks and ML developer tools, architect scalable libraries, grow early-stage projects, build real-time streaming capabilities, integrate modern frontend technologies, and collaborate with open-source contributors and the broader developer community.

Leads global operations by setting organizational direction, coordinating functional managers, transitioning regional activities, measuring performance, and improving revenue, expenses, profitability, and margins. Builds global partnerships, supports client onboarding and transitions, ensures consistent operational processes, communicates with stakeholders, and maintains compliance with information governance, HIPAA, privacy, and corporate integrity requirements.

Lead institutional client acquisition and growth by selling crypto liquidity and trading solutions. Manage end-to-end sales cycles, own P&L targets, use CRM for pipeline forecasting, advise clients on derivatives, algorithmic strategies, market-making and DeFi/CeFi mechanics, and collaborate with trading, technology, operations, and marketing teams to onboard and scale business.

Manage day-to-day SEO and GEO initiatives, conduct keyword and intent research, recommend technical and on-page improvements, run link-building and digital PR, monitor SEO/GEO/AI visibility, build client reports, and develop AI-assisted workflows, prompts, QA checklists, and automation while ensuring human review and quality.

Lead production-grade ML systems: build data pipelines, training and evaluation workflows, and scalable GPU inference. Fine-tune and adapt large models (LoRA, QLoRA, SFT, DPO, distillation), optimize deployments for latency/cost/reliability, and collaborate with product and engineering to ship robust, observable model-driven features.

Leads the end-to-end execution layer for machine learning, including data pipelines, large-model training and fine-tuning, evaluation, inference, deployment, monitoring, and reliability. Designs scalable GPU-based systems, optimizes performance and cost, partners with research and application engineering, and translates model capabilities into measurable production improvements. Also provides technical leadership, judgment, and support for high-impact ML delivery.

Lead the end-to-end ML execution: build and operate data pipelines, training and evaluation systems, and scalable inference. Fine-tune and optimize large models (LoRA/QLoRA/SFT/DPO/distillation), ensure GPU efficiency, monitor production quality, collaborate with product and application engineering, and rapidly ship reliable, safe ML solutions that translate research into production.

Leads end-to-end implementation of agentic AI customer support platforms, including discovery, configuration, integrations, knowledge-base optimization, RAG tuning, routing, escalation workflows, testing, and production deployment. Integrates platforms with Salesforce, Zendesk, Intercom, APIs, and enterprise systems while monitoring answer quality, containment, customer satisfaction, and operational efficiency. Produces implementation documentation, playbooks, performance reporting, and knowledge-transfer materials.

Join Databento as a Junior Systems Engineer to manage platforms, deploy containers, maintain storage clusters, and enhance automation tools.

Raises $800,000–$8,000,000 in investment capital and manages the issuance, placement, and distribution of securitized cryptocurrency tokens through digital marketplaces. The role requires familiarity with MetaMask and Polymath, applicable company and legal licensing, capitalizing digital assets, and submitting to a background check. Compensation is contractual and performance-based.

Build and own frontend applications for DeFi products using Next.js and TypeScript. Develop reusable component libraries and design systems, integrate Solana programs and wallet infrastructure, and translate complex financial concepts into accessible interfaces. Own performance, reliability, observability, testing, analytics, and end-to-end feature delivery while collaborating with protocol engineers, designers, and product teams.