The Senior Product Marketing Manager will define positioning and go-to-market strategies for AI and big data products while influencing roadmap decisions. They will also lead competitive intelligence and develop high-impact sales enablement assets to support commercial teams.
The Commercial Counsel will partner with commercial teams to negotiate, draft, and execute various business contracts throughout the deal lifecycle. They will also focus on improving internal legal processes, contract management platforms, and providing strategic legal advice to support business unit needs.
The Head of Talent Acquisition will lead and transform the recruiting function by assessing current processes and implementing a scalable, data-driven strategy. They will manage a team of seven professionals while partnering with business leaders to optimize hiring quality, speed, and consistency.
The Sales Associate will manage the full sales cycle for the SpendHound platform, including qualifying inbound leads and proactively generating outbound opportunities. You will engage with C-level executives to drive new business and contribute to the growth of this new division.
The Finance Partnerships Manager will own and grow strategic relationships with outsourced finance partners to drive revenue and new customer acquisition. They will develop go-to-market strategies, manage partner engagement, and collaborate with internal teams to enable partner success.
The Tax Director will manage global tax strategy, compliance, and reporting while ensuring accurate filing of federal, state, and local taxes. They will also serve as the primary tax contact, coordinating with external auditors and providing tax expertise to internal stakeholders.
You will own features and systems end-to-end, including architecture, implementation, and deployment across the full stack. You will also collaborate with cross-functional stakeholders to translate business problems into scalable, production-grade software solutions.
You will own the lifecycle of a foundational data domain, designing reusable systems and methodologies to improve data quality and consistency. You will partner with product and engineering teams to set technical direction and leverage AI to scale data processing and validation.
The Product Development Associate will evaluate third-party datasets to assess quality and business value while defining analytical frameworks for new product opportunities. They will collaborate with engineering and business teams to drive projects from initial evaluation to actionable recommendations.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
