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.
YipitData
43 Remote Job Openings at YipitData
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.
Lead the development and scaling of a secure software development lifecycle and vulnerability management practices. Partner with Engineering and Platform teams to integrate security guardrails into CI/CD workflows and define technical standards.
Manage and grow strategic relationships with outsourced finance partners to drive partner-sourced opportunities and revenue. Develop scalable playbooks and joint go-to-market strategies to accelerate customer acquisition for SpendHound.
Own data products end-to-end by analyzing massive datasets to provide actionable insights for top investors. Collaborate with Engineering and Product teams to refine methodologies and automate workflows using AI tools.
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.
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 communicate data methodologies to stakeholders.
Lead and develop a global data engineering team to build scalable pipelines and customer-facing data feeds for the Public Investor business. Oversee technical architecture and operational excellence while utilizing AI coding tools to accelerate delivery.
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.
Lead and scale the global talent acquisition function by designing a strategic, metrics-driven hiring engine and managing a team of recruiters. Partner with senior leadership on workforce planning and personally oversee executive-level searches.
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.
Partner with commercial teams to negotiate, execute, and close deals for the SpendHound platform. Develop contracting frameworks and improve internal legal processes and contract management platforms.
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.
The role involves partnering with Sales, Client Success, Marketing, and Legal teams to streamline revenue acquisition and eliminate inefficiencies. Key tasks include maintaining systems for sales data, optimizing workflows, and running SQL queries to inform revenue decisions.
Own the end-to-end development of features and systems across multiple product surfaces, including architecture, implementation, and deployment. Collaborate with cross-functional stakeholders to translate business problems into scalable, production-grade software using AI-accelerated workflows.
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.
Lead the implementation of ERP data connectors and manage the development of backend APIs to meet evolving business requirements. Oversee system architecture, service governance, and collaborate with global teams to ensure high availability and reliability of data services.
The Associate Product Manager will oversee the quality and standardization of metrics publishing and client-facing data feeds. They will partner with Engineering and Data teams to scale platform workflows and leverage AI tools to improve data efficiency.
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.
Lead and scale the Solutions team to deliver bespoke data analysis and products for institutional clients. Partner with internal teams to scope engagements, manage project delivery, and implement AI-driven workflows to improve efficiency.
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.
You will lead the development of a new mobile product from concept to implementation while collaborating with global teams. Additionally, you will maintain and enhance existing products through iterative updates and performance improvements.
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 Senior Recruiter will lead high-impact searches and own full-cycle recruiting for the go-to-market organization. They will partner closely with senior leadership to define candidate profiles and drive structured interview processes.
The Senior Recruiter will lead high-impact searches and own full-cycle recruiting, partnering closely with senior leadership to define candidate profiles and search strategies. They will also build proactive talent pipelines and ensure a high-quality candidate experience throughout the hiring process.
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 analyst will become a technical and product expert on Data Feed products, managing data trials, providing hands-on technical support, and developing best practices for internal teams. They will also partner with revenue teams on go-to-market execution and run product discovery to inform roadmap priorities.
The Sector Head will develop and own the long-term product and commercial strategy for the sector, setting measurable growth and profitability goals while driving financial performance to achieve ambitious ARR and profit margin targets. Key duties also involve owning the voice of the customer to ensure best-in-class product experience and leading/inspiring a high-performing cross-functional team.
The engineer will be responsible for refactoring and maintaining existing web scrapers to improve reliability and efficiency, while also implementing advanced scraping techniques to handle dynamic content and avoid detection. They will collaborate with cross-functional teams, develop monitoring solutions, and drive continuous improvement in data extraction capabilities.
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.
Collaborate with engineering and data teams to ensure product quality throughout the entire lifecycle. Conduct regression testing and participate in release cycles to ensure software stability.
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
·
Full Time
·
5 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
·
Full Time
·
5 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.
