Jobs at YipitData

As a Senior Workplace Experience Associate, you will manage facilities, improve processes, oversee vendor relationships, and enhance employee experience in the workplace. This includes planning, compliance, project management, and cross-functional collaboration.

As a Tech Lead, you will own the technical direction of a B2B analytics platform, lead engineering teams, and ensure production reliability while collaborating with various stakeholders to translate business needs into technical solutions.

Lead data methodology, quality, and accuracy for the Private Investor product. Set data strategy, build QA benchmark sets, author pipeline business logic, apply AI/LLMs for entity resolution and tagging, and scale the data team from an early player-coach to a high-performing organization while supporting customer diligence and trust.

Manage and grow relationships across a hedge fund client portfolio. Drive product engagement, client value, renewals, upsells, and contract expansion while partnering cross-functionally to address client needs. Develop commercial strategies, build relationships with decision-makers, provide investment research support, and contribute to scalable client strategy practices.

Lead and transform YipitData’s global talent acquisition function, managing a team of approximately seven recruiters. Assess and redesign recruiting processes, build scalable operating rhythms and metrics, improve sourcing and talent pipelines, advise senior leaders, oversee critical searches, and optimize the ATS, automation, and AI-enabled recruiting technology ecosystem. Drive change management, stakeholder alignment, recruiting effectiveness, forecasting, capacity planning, and continuous improvement.

Own commercial relationships across existing corporate clients, driving renewals, upsells, and account growth. Build relationships with budget owners and executives, negotiate enterprise contracts, exceed sales goals, and develop product advocates. Collaborate with research, data product, and client strategy teams to deliver valuable insights and support clients’ strategic decisions.

Identify and engage prospective clients through outbound sales methods including cold calling, email, and direct mail. Qualify inbound leads and marketing-qualified opportunities, map organizations to identify prospects, collaborate with Marketing and internal stakeholders, and develop sales skills using tools such as Salesforce, Gong, Groove, LinkedIn Sales Navigator, ZoomInfo, and Asana.

Lead and develop a team of product managers while owning strategy, execution, and commercial performance for a portfolio of B2B data feeds. Directly manage a strategic data product, guide customer discovery, prioritize investments, partner with Data, Engineering, Quant Research, and commercial teams, and improve data quality, integration, onboarding, adoption, retention, and revenue outcomes.

Own end-to-end US payroll for 500+ employees, including multi-state compliance, tax requirements, benefits deductions, invoice reconciliation, and self-insured plan activity. Partner with Finance, People Ops, ADP, and benefits vendors to resolve discrepancies, support audits, W-2 preparation, open enrollment, and reconciliations. Maintain controls, documentation, and recurring processes while identifying opportunities to automate and scale payroll and benefits operations.

Target and break into large enterprise accounts (>$100M software spend) using outbound prospecting (cold calls, emails, LinkedIn) to generate meetings with procurement leaders. Use modern sales tools, collaborate with sales leadership and enablement, refine messaging, and develop toward full end-to-end sales responsibility.

Leads the emerging sector insights team, owning product strategy and roadmaps for key categories, managing and developing insights analysts, and driving sector commercial success through collaboration on upsell and renewal opportunities. The role combines market research, client service, data analysis, cross-functional collaboration, and thought leadership. It is remote-friendly within the United States and requires East or West Coast work hours.

Own and maintain data products end-to-end for sector teams, analyze large datasets, refine methodologies, automate workflows using AI and tooling, collaborate with Research, Engineering, and Product, and deliver accurate, client-facing insights and improvements.

Own Kepler’s transaction data feed end-to-end, ensuring accuracy, improving methodologies, developing QA frameworks, solving complex analytical problems, and prototyping enhancements. Analyze massive datasets, automate workflows with AI, evaluate client-facing AI outputs, address high-complexity customer questions, and collaborate with Research, Product, Data Science, and Engineering teams.

Conduct outbound prospecting through cold calls, emails, LinkedIn, and other channels; qualify inbound and marketing-qualified leads; communicate product value; collaborate with Sales, Product, GTM Engineering, and Marketing; map decision-makers and personas; and use sales technology to expand markets and generate new business.

Own YipitAgent’s product-led growth motion across acquisition, trial activation, engagement, conversion, retention, and re-engagement. Optimize SEO/AEO, onboarding, in-product education, lifecycle communications, pricing, packaging, and trial experiences. Use customer research, behavioral data, funnel metrics, cohorts, and experimentation to identify growth opportunities. Partner with product, design, engineering, data, marketing, sales, and customer teams to launch, measure, and iterate on experiences that increase trials, active usage, and paid conversion.

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.

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.