The Head of Data will own the end-to-end data methodology, quality, and accuracy for the Private Investor business unit. They will lead the data strategy, build and mentor a high-caliber team, and design robust QA systems to ensure trusted insights for investors.
YipitData
40 Remote Job Openings at YipitData
You will own features and systems end-to-end for the Corporate Insight Agent, from requirements gathering through deployment and iteration. You will also serve as a subject matter expert across the stack, collaborating with product management to shape requirements and drive technical initiatives.
Lead and develop a global team of data engineers to build and scale critical data pipelines and AI-ready analytical datasets. Partner with product and research leads to translate business requirements into scalable technical plans and production-grade data assets.
Identify prospective opportunities and utilize outbound communication channels to drive growth for SpendHound's software renewal management platform. Generate interest and meetings with Finance, Procurement, and IT leaders through creative prospecting and modern sales tools.
Own data products end-to-end by analyzing massive datasets to deliver actionable insights for top investors. Collaborate with Engineering and Product teams to refine methodologies and automate workflows using AI tools.
Build and maintain end-to-end data pipelines and create AI-ready analytical datasets. Collaborate with stakeholders to incorporate business logic and optimize pipelines for reliability and performance.
The AI Product Manager will discover customer problems and define product goals to grow the core application using AI technologies. They will collaborate with engineering and design teams to build, test, and optimize AI-driven user experiences.
Design and deploy scalable optimization frameworks and statistical models to ensure mathematical integrity for consumer analytics. Partner with Data Engineering to transition complex calculations into production-grade cloud compute architectures.
The Technical Product Manager will define and prioritize the roadmap for the Central Data Platform, ensuring that it meets business needs and maximizes value. They will partner with various teams to drive execution and adoption of platform capabilities.
You will lead the Product Classification organization, ensuring accurate categorization of products in datasets. This includes building metrics frameworks, recruiting and training teams, and maintaining cross-functional partnerships.
Senior Business Development Executive, Enterprise Tech
YipitData
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Full Time
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a month ago
YipitData
Manage and grow a portfolio of enterprise accounts within the technology, cloud, and digital services sectors. Drive customer retention through the renewal process and identify upsell opportunities to expand the company's footprint.
The SDR will drive growth by identifying prospective opportunities and engaging outbound clients through various communication channels. They will generate meetings with Finance, Operations, and IT leaders to promote the SpendHound platform.
Develop internal tools, backend APIs, and QA platform infrastructure to support efficient development. Design technical solutions for high availability and scalability, specifically for email systems and data storage.
Manage the end-to-end quality of high-impact data products and resolve complex issues across data pipelines. Collaborate with cross-functional teams to align data methodologies with client needs and optimize automated workflows.
Lead the AI product strategy to build investor-facing tools, including AI agents and Model Context Platforms. Collaborate with engineers and hedge fund clients to translate frontier AI capabilities into production-grade financial research workflows.
Manage end-to-end data quality and resolve complex pipeline issues to deliver high-impact data products for retail clients. Collaborate cross-functionally with Engineering and Insights teams to optimize workflows and automate data processes.
Identify and engage large prospect accounts with over $100m in software spend using various outbound communication channels. Generate interest and meetings from procurement leaders to help them optimize software and AI renewals.
Lead the end-to-end marketing strategy for the Investor business to drive awareness, pipeline, and revenue growth. This includes managing multi-channel demand generation, product launches, and customer retention programs while partnering with Sales and Product teams.
Own the end-to-end design of AI-powered workflows for the Insight Agent to help users derive value from complex data. Collaborate with Product, Engineering, and Data Science teams to build intuitive, trustworthy, and scalable user experiences.
Own the transformation of raw alternative datasets into scalable, agent-ready intelligence for an AI-powered Insight Agent. Define the methodologies, guardrails, and data structures that ensure the agent delivers accurate and statistically defensible business insights.
Own and scale the quant platform by defining product specifications for factor libraries and translating quantitative research into scalable data pipelines. Collaborate with engineering and GTM teams to bring standardized signal products to systematic investors and manage commercial accountability.
The role involves extracting, labeling, and cleaning receipt data from English emails to generate business expense insights. The associate will monitor data trends, investigate anomalies, and collaborate with international teams to ensure data quality.
Own high-impact data products end-to-end for the Consumer Goods sector, focusing on creating new methodologies and research opportunities. Collaborate cross-functionally to automate workflows using AI and drive strategic impact for investment clients.
Develop and deliver data-driven insights for prospective clients by analyzing external data and conducting secondary research. Collaborate with Sales, Marketing, and Data Product teams to identify client pain points and provide actionable business recommendations.
Manage and grow commercial relationships with Hedge Fund clients by driving product value and user engagement. Responsible for executing account growth strategies, managing renewals, and identifying upsell opportunities.
Identify, evaluate, and execute exclusive, long-cycle strategic data partnerships to drive product development and sector coverage. Lead the entire process from initial executive engagement and diligence to the final signature of enterprise-level agreements.
Identify prospective corporate opportunities and engage new clients through various communication methods. Qualify inbound leads and collaborate with marketing to optimize the conversion process.
Own the product roadmap and commercial accountability for high-value alternative data feeds, balancing internal research needs with external client requirements. Collaborate with engineering, quant researchers, and GTM teams to ensure data reliability, quality, and successful market delivery.
The Sales Associate will own the full sales cycle, including sourcing leads, conducting product demonstrations, and closing new business. They will collaborate with research teams to drive revenue and build relationships with senior stakeholders in the investment community.
The Data Operations Analyst will map products to customer category requirements using manual tagging and machine learning tools. They will collaborate with cross-functional teams to ensure project delivery meets accuracy and timeline expectations.
You will own the Signals data products by vetting new sources, maintaining AI-tagging systems, and designing QA processes to ensure data accuracy. Additionally, you will collaborate cross-functionally to resolve data quality issues and deliver analytical insights that drive client engagement.
The role involves developing and maintaining scalable data pipelines, backend APIs, and ERP data connectors to support global business requirements. You will also be responsible for ensuring high availability, system stability, and enforcing data governance and security best practices.
The Tech Lead will own the technical direction of the Signals platform, setting the vision, making architecture decisions, and writing code while leading a small team of engineers and QA. Responsibilities include driving execution, ensuring production reliability, and translating business problems into a technical roadmap through collaboration with product and data stakeholders.
The Sales Development Representative will drive growth by identifying prospective outbound client opportunities for YipitData's investment products using various communication channels. They will also qualify inbound leads, follow up on marketing qualified opportunities, and map organizational structures of target investment firms.
The manager will act as a main growth driver by positioning YipitData's products within active client bases, managing commercial relationships, and identifying upsell opportunities. Responsibilities include running the entire sales process, negotiating enterprise agreements, and collaborating with internal teams to address client questions.
As a Senior SDET, you will be responsible for test planning and execution, developing comprehensive test plans, and maintaining automated testing frameworks. You will also manage defects and collaborate with cross-functional teams to ensure smooth project progress.
Senior Account Executive (Enterprise - Brands/Retail), Corporate
YipitData
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Full Time
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6 months ago
YipitData
The Senior Account Executive will manage an enterprise portfolio, drive retention and growth across existing clients, and ensure successful renewals. They will also identify new buying centers and upsell opportunities while collaborating with research and client strategy teams.
Account Executive (Enterprise - Brands/Retail), Corporate
YipitData
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Full Time
·
6 months ago
YipitData
The Account Executive will manage an enterprise portfolio, drive retention and growth across existing clients, and ensure successful renewals. They will identify upsell opportunities and collaborate with internal teams to provide essential services to clients.
As a Senior Software Engineer, you will be responsible for implementing ERP data connectors, upgrading backend APIs, and maintaining data storage systems. You will also act as a liaison between business requirements and technical solutions while ensuring service maintenance and upgrades.
The Client Strategy Manager will manage relationships with key brand and retail customers, ensuring client engagement and value creation. This role involves advocating for client needs and developing account growth strategies.