YipitData

Engineering Manager

• Lead, coach, and develop a global team of data engineers while staying close to architecture, design, code reviews, debugging, and delivery.
• Partner with Technical Product Managers and Data leads to translate roadmap priorities, customer needs, and research requirements into scalable technical plans.
• Build and improve scalable data pipelines, data models, and QA systems for various data products.
• Collaborate with business stakeholders and PMs to support reliable delivery of data pipelines, incident resolution, methodologies, and operational improvements.
• Use AI coding tools to develop and enhance methodologies, accelerate engineering execution, improve documentation, strengthen QA, support technical exploration, and raise team productivity.
• Create clarity and momentum in ambiguous environments by breaking down complex data, research, and product challenges into actionable engineering plans.

Senior Data Engineering Manager

Sales Development Rep

• Break down the door on a new vertical utilizing creative prospecting to meet stakeholders at all levels of larger businesses
• Utilize outbound sales skills by leveraging cold calling, cold emailing, LinkedIn messages, and more
• Generate interest and meetings from Finance, Procurement, and IT leaders for a highly valuable product
• Develop skills across modern sales technology tools including Apollo, Orum, LinkedIn Sales Navigator, ZoomInfo, and more
• Work closely with an Enterprise Sales Development Manager, Enablement Manager, and Head of Sales to develop sales skills
• Help refine the messaging that we use in order for us to be successful

Sales Development Representative – Mid-Market

Business Development Rep

• Break down the door on a new vertical, utilizing creative prospecting to meet stakeholders at all levels of larger businesses
• Utilize your outbound sales skills by leveraging a number of communication methods, including cold calling, cold emailing, LinkedIn messages, and more
• Generate interest and meetings from Finance, Procurement, and IT leaders for a highly valuable product that helps them save time and money with their software renewals, which we offer to them for free!
• Develop skills across a broad range of modern sales technology tools, including Apollo, Orum, LinkedIn Sales Navigator, ZoomInfo, and more
• Work closely with an Enterprise Sales Development Manager, Enablement Manager, and Head of Sales to develop your sales skills
• Help refine the messaging that we use in order for us to be successful

Business Development Associate – Mid-Market

• Lead, mentor, and grow a team of data engineers
• Architect and oversee the development of end-to-end data solutions using AWS Data Services and Databricks
• Hire, onboard, and develop a high-performing team
• Collaborate with cross-functional teams to understand requirements and deliver data products
• Drive best practices in data engineering and ensure high data quality
• Optimize performance and cost efficiency of data infrastructure
• Own the end-to-end vision and strategic roadmap for various projects

• Identify prospective opportunities and utilize a number of outbound communication channels to begin sales engagement
• Break down the door on a new vertical, utilizing creative prospecting to meet stakeholders at all levels of larger businesses
• Utilize your outbound sales skills by leveraging a number of communication methods, including cold calling, cold emailing, LinkedIn messages, and more
• Generate interest and meetings from Procurement leaders for a highly valuable product that helps them save time and money with their software and AI renewals
• Develop skills across a broad range of modern sales technology tools, including Apollo, Orum, LinkedIn Sales Navigator, ZoomInfo, and more
• Work closely with an Enterprise Sales Development Manager, Enablement Manager, and Head of Sales to develop your sales skills
• Help refine the messaging that we use in order for us to be successful

Business Development Associate – Strategic SDR

Data Engineer

• Report directly to a Manager of Data Engineering, who will provide significant, hands-on training on cutting-edge data tools and techniques.
• Build and maintain end-to-end data pipelines.
• Help with setting best practices for our data modeling and pipeline builds.
• Create AI-ready analytical datasets designed with the structure, metadata, documentation, and business context needed for effective use by AI agents and insight-driven applications.
• Become an expert at solving complex data pipeline issues using PySpark and SQL.
• Collaborate with stakeholders to incorporate business logic into our central pipelines.
• Deeply learn Databricks, Spark, AI, and other ETL toolings developed internally.

Data Engineer – Global Team

Data Scientist

• Design, validate, and deploy robust, scalable optimization frameworks and distribution models to ensure complete mathematical integrity across downstream metrics.
• Explore and execute complex methodologies, evaluate methodological trade-offs, and implement advanced statistical procedures.
• Partner cross-functionally to transition ad hoc code into standardized, version-controlled templates and logical libraries to ensure analytics are structured cleanly to power diverse product surfaces.
• Partner closely with Data Engineering to optimize code performance and scale analytical workflows, helping transition complex statistical calculations from standard database queries into efficient, production-grade cloud compute architectures.

Technical Product Manager

• Own the Central Data Platform Roadmap
• Define and prioritize the roadmap for Central Data Platform capabilities.
• Identify opportunities to centralize, standardize, and productize data capabilities across the business.
• Balance competing priorities, tradeoffs, and technical constraints to maximize business value.
• Communicate roadmap decisions, priorities, and delivery progress to stakeholders.
• Translate business problems and analyst needs into clear product requirements.
• Create user stories, acceptance criteria, rollout plans, and success metrics.
• Ensure requirements balance scalability, maintainability, performance, and speed to delivery.
• Partner with engineering to ensure solutions accurately reflect business logic and technical requirements.
• Align stakeholders on priorities, timelines, dependencies, and delivery plans.
• Identify risks, remove blockers, and drive execution across multiple teams.
• Create transparency around delivery status and platform capabilities.
• Partner with teams to validate functionality, data quality, and successful releases.
• Measure adoption and business impact of platform capabilities.
• Identify opportunities to simplify workflows, improve data quality, and increase reuse of platform investments.
• Incorporate user feedback and performance metrics into future roadmap decisions.

Product Manager

• Own operational leadership and accountability for the Product Classification organization
• Build and own metrics framework for classification accuracy, throughput, and quality
• Establish performance standards, SLAs, and escalation paths across the teams
• Run operating cadence that surfaces issues early and drives improvement
• Recruit, train, and develop a high-performing classification team
• Hire and onboard Data Classification Analysts
• Create onboarding programs and training curricula
• Build and maintain a culture of operational excellence
• Foster a team culture where accuracy is non-negotiable
• Maintain cross-functional relationships with Engineering, Insights, and Data
• Leverage AI to improve classification systems and identify opportunities for automation

Associate Director of Product Classification

Account Executive

• Manage and grow a portfolio of enterprise accounts within the Technology, Cloud, and Digital Services sectors.
• Own the commercial relationship with existing customers, serving as the primary point of contact for renewals and account growth.
• Drive customer retention by leading the end-to-end renewal process and ensuring long-term client success.
• Identify and close upsell and cross-sell opportunities by expanding adoption of YipitData's products across existing accounts.
• Develop relationships with executive stakeholders, budget owners, and key decision-makers to understand evolving business priorities.
• Uncover new buying centers and expand YipitData's footprint within enterprise customers.
• Partner closely with Client Strategy, Solutions, and Product teams to deliver exceptional customer experiences and maximize product value.
• Build trusted advisor relationships by helping clients answer critical business questions using YipitData's data and insights.
• Develop strategic account plans that identify growth opportunities, mitigate renewal risks, and increase customer lifetime value.
• Maintain an accurate sales pipeline and forecast while managing account activity in the CRM.
• Act as the voice of the customer by sharing market feedback and client insights with internal stakeholders to influence product and go-to-market strategy.
• Consistently achieve or exceed renewal, expansion, and revenue growth targets.

Senior Account Executive, Enterprise Tech

Data Analyst

• own data products end-to-end
• work with massive amounts of data
• tackle complex data problems
• use AI and tooling to drive meaningful leverage
• collaborate cross-functionally
• identify opportunities to improve products and processes

Associate

• Ramp up quickly to become the primary owner of high-impact data products
• Design, maintain, and run comprehensive QA processes
• Independently investigate and resolve complex data quality issues
• Serve as a trusted resource for internal and external stakeholders
• Collaborate cross-functionally with Insights and Engineering
• Proactively identify opportunities to improve efficiency, robustness, and data quality

Data Product Associate

• Owning metrics publishing quality and standards across data teams, ensuring datasets reliably power dashboards and client feeds
• Partnering cross-functionally with Data, Engineering, and Product to define requirements, prioritize improvements, and drive adoption of best practices
• Improving and scaling data platform workflows, from ingestion through transformation to delivery, enabling internal productivity and client value
• Leveraging AI tools to enhance workflows, automate processes, and improve data quality and efficiency

Product Associate

• Break down the door on a new vertical, utilizing creative prospecting to meet stakeholders at all levels of larger businesses
• Utilize your outbound sales skills by leveraging a number of communication methods, including cold calling, cold emailing, LinkedIn messages, and more
• Generate interest and meetings from Procurement leaders for a highly valuable product that helps them save time and money with their software and AI renewals
• Develop skills across a broad range of modern sales technology tools, including Apollo, Orum, LinkedIn Sales Navigator, ZoomInfo, and more
• Work closely with an Enterprise Sales Development Manager, Enablement Manager, and Head of Sales to develop your sales skills
• Help refine the messaging that we use in order for us to be successful