Top Tech Jobs & Startup Jobs in NYC, NY

Design AI-powered enterprise research workflows that make complex information clear, trustworthy, and actionable. Responsibilities include interaction and visual design, rapid prototyping, user research, collaboration with product and engineering, administration and permissions design, roadmap input, and design-system development. The role is full-time and in-person in New York City.

Build and lead Qualitate’s security program as its first dedicated security engineer. Secure AWS or GCP infrastructure, implement logging, monitoring, detection, access controls, encryption, and vulnerability remediation, and review application architecture. Lead ISO 27001 certification, automate compliance evidence, respond to incidents, address penetration-test findings, secure LLM-based systems, and develop production security tooling while partnering with engineering, compliance, and legal.

Chief of Staff supporting the CEO across strategic priorities, cross-functional projects, go-to-market initiatives, partnerships, market expansion, planning, and operating cadence. The role requires hands-on execution, customer engagement, process improvement, prioritization, and clear communication in a fast-paced AI startup.

Analyzes proprietary datasets and enterprise technology markets, covering software, cloud, cybersecurity, data, AI, and IT services. Produces company analyses, quantified findings, charts, vendor scorecards, newsletters, and client communications for investors and corporate strategy teams. Tracks technology spending, adoption, pricing, renewals, and market share; designs research frameworks; supports client conversations; and develops forward-looking views on emerging enterprise technology trends.

Own the full sales cycle for Qualitate’s growth equity and venture capital segment, from prospecting through contract close. Build pipeline, run tailored demos, manage complex multi-stakeholder evaluations, convert pilots, expand strategic accounts, and provide product feedback. The role also contributes to sales playbooks, pricing, packaging, compliance workflows, and competitive positioning in an early-stage environment.

Own the full sales cycle for Qualitate’s AI-powered primary intelligence platform in the public equity market. Responsibilities include prospecting funds, leveraging industry networks, running tailored demos, managing trials and proof-of-concepts, navigating multi-stakeholder buying processes, closing contracts, and shaping the emerging sales playbook, messaging, competitive positioning, and CRM standards.

Own the credit fund sales vertical for Qualitate’s AI-powered primary intelligence platform. Build pipeline, run tailored product demonstrations, manage trials and proof-of-concepts, navigate institutional buying processes, and close full-cycle deals with credit funds, private capital firms, CLO managers, and PE firms. Develop vertical messaging, case studies, competitive positioning, and sales processes while feeding customer insights back to product and engineering.

Sell Qualitate’s AI-powered primary intelligence platform to private equity and growth equity firms. Own the full sales cycle, including prospecting, pipeline development, customized demos, trials, proof-of-concepts, negotiations, and closing. Build relationships with investment professionals and institutional buyers, develop vertical messaging and sales processes, provide product feedback, and help establish the company’s go-to-market function for the private equity segment.

Build outbound and inbound pipeline for an AI-native market research platform. Research target accounts, conduct multichannel outreach, qualify leads, book meetings, and tailor messaging to investment and corporate strategy buyers. The SDR will use Clay, Apollo, HubSpot, and LLMs to improve research and sequencing workflows, while helping establish the company’s sales playbook and handoff processes. Strong performance can lead to a full-cycle Account Executive role.

Own Qualitate’s data engineering foundation by building pipelines for structured and unstructured data, designing relational and non-relational data models, and developing AI-powered enrichment workflows. Establish data quality monitoring, integrations, schemas, contracts, lineage, and documentation. Partner with Applied AI, Research, and Engineering while shaping the company’s early data architecture and enabling customer data integrations.