Jobs at YipitData

Designs, builds, and maintains integrations between internal systems and SaaS platforms. Develops automation for provisioning, access management, and data synchronization using APIs, scripting, and workflow tools. Collaborates with Security, Infrastructure, IT, vendors, and platform providers to implement, troubleshoot, and improve integrations. Documents system architecture and dependencies while supporting reliability, security, and operational efficiency across the technology stack.

Manage and grow an enterprise account portfolio across technology, cloud, and digital services. Own renewals, retention, upsells, cross-sells, account planning, forecasting, and executive relationships. Partner with client strategy, solutions, and product teams to deliver customer value, expand buying centers, and meet revenue targets. The role requires subscription or data sales experience, enterprise selling expertise, quota attainment, strong communication, and the ability to negotiate with sophisticated procurement teams.

Own and grow YipitData’s B2B demand generation engine for Corporate Tech. Responsibilities include defining target accounts and buyer personas, running account-based marketing programs, developing content and social proof, coordinating paid, organic, event, and sales channels, supporting account expansion, and measuring engagement, opportunities, pipeline, and revenue. The role requires close Sales partnership and a continuous test-and-learn approach.

Own YipitData’s SEO and AEO strategy, including buyer-query mapping, content roadmaps, technical SEO, AI search visibility, content quality, and third-party presence. Build tracking for organic and AI-sourced traffic, citations, conversions, and pipeline. Partner with content, marketing, product, engineering, PR, and sales teams while running experiments and refresh programs to increase discoverability, authority, and organic-sourced revenue.

Own the end-to-end design and development of YipitData’s public websites in Webflow. Build responsive, accessible pages, templates, components, and interactions; manage CMS architecture and publishing workflows; maintain design systems; and support SEO, conversion optimization, analytics, and campaigns. Partner with design, marketing, product, communications, and business teams to create effective digital experiences, establish governance, improve site quality, and expand internal website capabilities.

Own client relationships with cloud and data infrastructure companies, leading discovery, thought leadership, and solution development. Partner with Revenue on pitches, trials, and renewals while translating client needs into data-driven solutions. Coordinate with engineering, data, and product teams to deliver client outcomes, resolve data questions, and expand usage. Present insights and market perspectives to executive audiences and guide clients from broad business questions to actionable 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.

Leads YipitData’s data-feed business as a strategic business owner, overseeing portfolio strategy, P&L, ARR growth, pricing, packaging, investment allocation, go-to-market, and client success. Aligns Product, Quant, Data, Engineering, Revenue, Client Strategy, and Operations around a scalable operating model. Builds leadership capabilities, improves data-product distribution and reliability, and identifies opportunities involving APIs, cloud platforms, AI, automation, and emerging investor workflows.

Supports sales and account executive teams with technical expertise, data analysis, solution scoping, and troubleshooting of data quality issues. The role builds customer trust in data and methodologies, collaborates on onboarding and early customer success, and improves sales enablement assets and processes. It is a customer-facing position focused on helping prospective partners find suitable data solutions and supporting long-term account health.

Lead data strategy and execution for emerging sectors, transforming large consumer datasets into accurate, scalable client insights. Responsibilities include resolving data-quality issues, designing workflows, maintaining sector taxonomies, partnering with product, revenue, engineering, and insights teams, and coaching analysts. The role requires hands-on analysis, production-grade data workflow development, stakeholder communication, and ownership of quality standards and methodologies in a rapidly evolving environment.

The Sales Development Representative will identify and qualify prospective enterprise technology clients through outbound and inbound sales engagement. Responsibilities include cold calling, emailing, direct mail, lead follow-up, organizational mapping, and collaboration with Marketing, Product, Sales, and senior stakeholders. The role uses tools including Salesforce, Gong, Groove, LinkedIn Sales Navigator, ZoomInfo, and Asana, with progression toward Sales Associate and Sales Executive positions.

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.

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.

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.