Jobs at Qualitate

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.

Manage data quality assurance processes, resolve data errors and escalations, build compliance guardrails, launch surveys, and develop workflows for unstructured data. The role also manages offshore service providers, maintains SOPs, and creates reporting and tracking tools. Success requires strong data validation and cleaning skills, SQL and spreadsheet proficiency, attention to detail, and comfort working with ambiguity in an early-stage technology company.

Hands-on Growth Marketer responsible for creating campaign assets, running experiments across paid, email, website, SEO, and outbound channels, optimizing acquisition, improving conversion paths, and analyzing campaign performance. The role requires independently writing and designing creative, managing budgets, using marketing analytics tools, and collaborating with Sales, Design, Engineering, and Research in a fast-paced B2B technology environment.

Own and scale Qualitate’s revenue operations function, including HubSpot architecture and administration, CRM governance, forecasting, pipeline visibility, data quality, attribution, GTM processes, rep ramp infrastructure, quota, compensation, and territory mechanics. This hands-on leader will build the function from the ground up, partner with sales, marketing, finance, and leadership, and use analytics and AI to make revenue growth measurable, forecastable, and efficient.

Build and operate Qualitate’s go-to-market automation infrastructure across prospecting, enrichment, routing, outreach, reporting, and attribution. Develop AI agents and LLM-powered workflows, integrate revenue tools and APIs, create dashboards and experimentation frameworks, and maintain reliable, observable data pipelines. Partner with sales, growth, operations, and leadership to turn manual processes into scalable systems, improve data quality, and rapidly test and deploy new capabilities.

Lead product strategy and execution to grow and retain a global expert community. Own onboarding, engagement, compensation, reputation, mobile/web experience, and metrics. Partner with engineering, design, data, and ops to build AI-assisted, human-in-the-loop systems that convert expert conversations into structured, trusted insights at scale.

Own and define Industrials research at Qualitate: design coverage, analyze proprietary datasets, produce forward-looking investment insights, publish client-facing research, collaborate with product and engineering, and refine AI-enabled primary research methodology.

Own Data, Cloud & AI coverage using a proprietary dataset to produce forward-looking, data-driven research. Analyze trends across AI/ML operations, databases, data integration, governance and cloud infrastructure; produce client-facing insights, thought leadership, and collaborate with product and engineering to improve research methodology and platform fidelity.

Analyze proprietary primary-research datasets to produce company and market analyses, charts, scorecards, and written takeaways. Develop forward-looking sector insights, contribute thought leadership, support client conversations, and partner with product and engineering to refine research methodology. Rotate across sectors, learn quickly, and grow into dedicated coverage.

Lead semiconductor and technology-hardware research coverage: design tracking scope, interview value-chain experts, analyze proprietary datasets, produce forward-looking insights for investors and corporate clients, publish thought leadership, and partner with product and engineering to refine AI-native research methodology.

Full‑stack staff engineer with end‑to‑end ownership: design and ship scalable, reliable APIs and data feeds; build interactive TypeScript/React UIs and visualizations; optimize SQL; integrate LLMs and agentic tools; manage infrastructure and troubleshoot production; define technical strategy with founders.

Senior full-stack engineer owning backend and frontend systems: build scalable APIs and data feeds, implement interactive React UIs and visualizations, optimize SQL, integrate LLMs/AI tools, manage infrastructure reliability/security, and shape technical strategy with the founding team.

Build and scale the LLM orchestration and retrieval systems powering Qualitate’s AI Moderator. Responsibilities include designing multi-turn agentic interview pipelines, optimizing model routing and retrieval quality, building production APIs and microservices, creating evaluations, monitoring and guardrails, processing unstructured data, and delivering structured research insights. The role partners closely with product, data engineering, research, and the founding team in an in-person New York City startup environment.