Top Tech Jobs & Startup Jobs in NYC, NY

Own high-impact data products, ingestion pipelines, and granular data feeds end to end. Analyze massive datasets to answer client and stakeholder questions, ensure data accuracy, and derive actionable insights. Improve products and pipelines by developing methodologies, scaling third-party datasets, and creating data modules. The role requires clear communication, attention to detail, methodical problem solving, prioritization, experimentation, and strong ownership. Training includes SQL, PySpark, Python fundamentals, and internal tools.

Drive discovery, development, commercialization, and improvement of alternative data products. Evaluate and source datasets, collaborate with Partnerships and Revenue teams, conduct client research, shape product strategy, communicate roadmaps, and potentially build and manage a Product Development Analyst team. The role focuses on expanding revenue and client engagement through innovative data experiences and requires strong understanding of financial client needs and data technology.

Lead revenue growth by selling alternative data feed products to quantitative hedge funds and systematic investment firms. Own the full sales cycle from prospecting and qualification through contract execution, build pipeline through outreach and industry relationships, tailor solutions with product teams, exceed sales quotas, and represent the company at conferences and client meetings.

Develop outbound sales opportunities through cold calls, emails, direct mail, Bloomberg messages, and other channels. Qualify inbound leads, follow up with marketing-qualified opportunities, communicate YipitData’s value proposition, and map hedge fund and investment manager organizations to identify prospects. Collaborate with Marketing to improve conversion and use sales tools including Salesforce, Gong, Groove, LinkedIn Sales Navigator, ZoomInfo, and Asana.

The Product Security Engineer partners with Engineering and Product teams to embed security throughout the development lifecycle. Responsibilities include threat modeling, architecture and security reviews, vulnerability validation, remediation planning, security-tool ownership, automation, secure coding guidance, incident response, and assessing risks in cloud and AI-enabled products. The role requires strong application security, identity, authentication, authorization, coding, communication, and cross-functional collaboration skills.

Manages the full accounts receivable cycle, including invoicing, collections, cash application, reconciliations, discrepancy resolution, and customer communications. Reviews APAC payroll transactions in NetSuite, supports month-end close, prepares journal entries and account reconciliations, analyzes financial variances, and assists with annual audits and special accounting projects.

Design, build, and operate shared cloud infrastructure across AWS, Kubernetes, Terraform, Databricks, and Cloudflare. Lead SRE and DevOps initiatives involving reliability, observability, CI/CD, incident response, disaster recovery, cost optimization, and developer self-service. Partner with application and data engineering teams to improve workload operations, deployment safety, and infrastructure scalability. Participate in on-call rotations and contribute to technical standards, architecture, documentation, and sustainable 24/7 operations.

The Data Product Analyst will own Signals data products, work with AI and Data Engineering, ensure data quality, conduct analyses, and shape product improvements through client feedback.

Own product positioning and go-to-market strategy for YipitData’s AI and big data products serving public investors. Define customer segments and messaging, lead product launches, conduct competitive intelligence, support pricing and packaging, and create sales enablement materials. Partner with Product, Revenue, and Insights teams to shape the roadmap and drive adoption. Establish GTM success metrics, monitor performance, and improve strategies across data feeds, software, and AI-powered investor solutions.

Lead end-to-end development of AI-enabled, full‑stack products and production AI Agent systems. Own architecture, APIs, observability, and deployments; collaborate with product and stakeholders; balance rapid prototyping with scalable engineering; integrate LLMs and agent loops; mentor others and ensure reliability, performance, and customer-focused UX.