YipitData

Business Development Rep

• Own and cultivate client relationships
• Leverage product expertise to drive value and grow user engagement
• Act as a thought partner and provide high-quality client service
• Advocate for client needs across departments
• Create and execute account growth and engagement strategies
• Develop rapport with key decision-makers
• Manage renewals from beginning to end
• Identify and execute upsell opportunities to increase contract value
• Contribute to best-in-class practices within the growing Client Strategy team
• Potentially grow into the Business Development team or build a team

Account Development Manager

Account Executive

• Act as a main growth driver across a portfolio of existing corporate-sector clients
• Position YipitData's products and ensure renewals, with a focus on account growth
• Own commercial relationships for existing business
• Identify and close upsell opportunities
• Build relationships with budget owners and decision makers
• Own client renewals
• Create advocates for YipitData products
• Help clients find answers to key questions
• Collaborate with research, data product, and client strategy teams
• Provide a must-have service to clients

Senior Account Executive

• Identify prospective opportunities and initiate sales engagements using multiple communication methods
• Qualify inbound sales leads and opportunities
• Follow up with marketing-qualified opportunities
• Develop outbound sales skills through cold calling, cold emailing, direct mail, and other methods
• Work with Product, Sales, C-level stakeholders, and Strategy professionals
• Collaborate with Marketing to optimize the opportunity conversion process
• Map organizational structures of leading Brands and Retailers to identify prospective users
• Use sales tools including Salesforce, Gong, Groove, LinkedIn Sales Navigator, ZoomInfo, and Asana
• Progress toward Sales Associate and Sales Executive roles focused on acquiring and engaging new business

Business Development Associate

Data Scientist

• Manage, coach, and grow a team of product managers
• Establish product responsibilities, goals, and decision-making expectations
• Build practices for planning, roadmap reviews, customer feedback, and performance measurement
• Recruit and develop product talent
• Own portfolio strategy aligned with broader business direction
• Guide product visions and roadmaps
• Prioritize across roadmaps and shared capabilities
• Validate use cases and commercial demand for new data sources
• Identify portfolio gaps, overlap, and dataset combination opportunities
• Recommend offerings to scale, improve, consolidate, or retire
• Serve as hands-on product manager for a strategically important data feed or quant-focused initiative
• Lead customer discovery, investigate data, and translate customer needs into product decisions
• Partner with Data, Engineering, Data Science, and Quant Research to assess feasibility and launch products
• Improve products through client evaluation and integration feedback
• Share accountability for portfolio revenue growth, retention, expansion, and product economics
• Partner on pricing, packaging, positioning, sales, and evaluation processes
• Define and track customer adoption, evaluation conversion, time to value, retention, and commercial results
• Establish expectations for data quality, coverage, timeliness, documentation, and delivery
• Partner on quality controls, monitoring, change management, and issue resolution
• Improve customer discovery, evaluation, onboarding, integration, and support for feeds
• Ensure clients understand methodologies, limitations, historical changes, and use cases
• Build a repeatable experience for quant and systematic customers
• Align Product, Data, Engineering, Research, Quant, Applications, and commercial teams
• Partner with Quant Research on systematic investor requirements
• Evaluate data opportunities against customer needs, licensing constraints, quality, and economics
• Communicate strategy, tradeoffs, progress, and risks to leadership and cross-functional partners

Group Product Manager, Data Feeds

Payroll

• Own end-to-end US payroll processing for 500+ US employees
• Manage payroll inputs and changes including new hires, terminations, compensation changes, bonuses, deductions, and leaves
• Identify and resolve payroll discrepancies
• Serve as primary payroll subject matter expert and resolve employee questions
• Partner with ADP and internal stakeholders on payroll, tax, and deduction issues
• Manage multi-state payroll and tax requirements, including New York's Convenience of the Employer rule and related withholding
• Own payroll and invoicing-related benefits administration
• Manage employee deduction changes and qualifying life events
• Review and reconcile benefits invoices and self-funded plan activity
• Validate employee eligibility, enrollment, payroll deductions, and plan fees
• Partner with Accounting on discrepancies and financial reconciliations
• Support month-end, year-end, W-2 preparation, open enrollment, benefits renewals, audits, and recurring processes
• Maintain documentation and controls
• Identify opportunities to automate, simplify, and scale payroll and benefits processes
• Partner with Finance, People Ops, ADP, and benefits partners

Senior Payroll & Benefits Administrator

Cloud Engineer

• Set and execute a prioritized cloud-infrastructure modernization roadmap for AWS, Kubernetes, Terraform, and the broader platform ecosystem
• Lead a small, high-leverage global team spanning cloud platform, SRE, and DevOps
• Provide direction, coaching, and hands-on technical judgment
• Deliver reliable paved roads, reusable infrastructure capabilities, self-service workflows, and faster feedback loops
• Establish and mature reliability practices, including service ownership, SLIs and SLOs, incident management, error budgets, observability, and post-incident follow-through
• Own disaster-recovery strategy and readiness, including recovery objectives, testing, automation, and resilience-gap closure
• Design a sustainable 24/7 operational model covering on-call responsibilities, escalation paths, incident leadership, and global-team collaboration
• Partner with the Chief Architect and engineering leaders to define platform priorities and clarify ownership boundaries
• Help application and data teams operate workloads effectively on shared infrastructure
• Define baselines and measure delivery performance, developer experience, platform adoption, reliability, operational health, and cloud unit economics
• Improve cloud efficiency through cost attribution, capacity planning, Kubernetes resource utilization, automation, and measurable savings
• Report to the Chief Architect and partner with Security, Enterprise IT, and engineering leaders

Head of Cloud Infrastructure

People Operations

• Advise managers and senior leaders globally on organizational design, talent strategy, leadership development, and workforce planning
• Coach managers through ambiguous, high-stakes people and organizational challenges
• Partner with managers, Talent Acquisition, and Finance on workforce and hiring strategies
• Strengthen performance, accountability, and development systems and management practices
• Lead performance management, calibration, promotions, succession planning, compensation planning, engagement, and leadership development for the Public Investor business
• Identify organizational and talent risks and develop practical, data-informed solutions
• Guide managers and leaders through reorganizations and significant organizational changes
• Navigate sensitive employee relations matters with Legal and People Operations
• Build and improve scalable People programs, processes, and operating practices
• Shape communication strategies for people and organizational initiatives
• Champion YipitData’s culture and leadership expectations
• Use AI and technology to improve work effectiveness and scalability

Senior People Business Partner

Data Analyst

• Join a sector team covering industries such as consumer goods, software, or financial services
• Develop deep expertise in proprietary datasets and methodologies
• Own analytical data products and workflows end-to-end
• Ensure data accuracy and reliability while improving product methodologies
• Analyze massive datasets to answer client questions
• Identify methodology gaps, derive insights, and uncover opportunities
• Tackle complex data problems and test new datasets
• Use AI and tooling to increase speed, reduce manual work, and automate workflows
• Build repeatable processes and validate AI-generated outputs
• Partner with Research, Engineering, Product, and other teams
• Improve products, methodologies, datasets, and team processes
• Potentially develop investment methodologies, build research products, evaluate alternative datasets, create AI-powered workflows, and design dashboards or AI experiences