YipitData

• 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.

• 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.

• 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

• 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.

• 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.

• Own Kepler data content end-to-end — driving product success by delivering best-in-class outputs with a focus on accuracy, and continuously increasing client value. • Work with massive amounts of data and develop deep expertise in our proprietary methods and techniques, building strong mental models that allow you to ensure data accuracy, identify methodology gaps, and derive key insights. • Tackle complex data problems using strong analytical judgment to refine methodologies, test new datasets, and solve challenges that require creative thinking — even when information is incomplete or ambiguous. • Use AI and tooling to drive meaningful leverage — increasing speed, reducing manual work, and automating portions of workflows. You'll build repeatable processes, maintain a high bar for correctness and quality, and validate AI-generated outputs. • Use AI to drive client-value — you will write prompts and run automated evaluation processes to ensure our client-facing Kepler Insight Agent is accurate and able to answer the questions our customers are asking. • Collaborate cross-functionally with Research, Engineering, and other teams — coordinating across functions to unblock work, align on best practices, and develop solutions that streamline workflows and optimize data processes. • Help our customers understand the data by handling high-complexity questions about anomalies and trends in the data that our first line of support can’t handle.

• 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, Operations, 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 Salesforce, Groove, Aircall, LinkedIn Sales Navigator, ZoomInfo, and more • Work closely with a 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

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

Role Description As Our Software Engineer, You Will: - Build excellent tools to support efficient development for internal teams. - Work on tool backend API design, performance improvement, data storage and make tools highly available and good user experience. - Be responsible for the QA platform infrastructure and continuous iterative upgrades. - Understand business requirements and participate in discussions with the different stakeholders to design technical solutions. - Be creative and study new technologies in space, make sure of high availability and scalability for email systems. Qualifications - Bachelor's degree in Computer Science, or related majors. - 2+ years backend experience. - Solid computer foundation and programming skills, familiar with common data structures and algorithms. - 2+ years of experience in one of the following languages: Go/Python. - Mastery in one of open source components: MySQL/Redis/Message Queue. - Understand and familiar with architecture and developing systems (for the infrastructure team). - Excellent logic analysis capabilities, able to abstract and split business logic reasonably. Benefits - Flexible work hours. - Flexible vacation. - Generous 401K match. - Parental leave. - Team events. - Wellness budget. - Learning reimbursement. - Competitive salary.

• 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