The AI Engineer will assist in the development, training, and fine-tuning of machine learning models while working with large datasets. They will also collaborate with software engineers to deploy AI models into production environments and optimize model performance.
You will be responsible for developing, optimizing, and maintaining scalable data pipelines while ensuring the stability and reliability of data systems. Additionally, you will collaborate with global teams to build high-performance data architecture and enforce data governance and security practices.
Manage and grow enterprise accounts in the technology, cloud, and digital services sectors, owning client relationships, renewals, and revenue expansion. Build executive relationships, identify new buying centers, collaborate with internal teams to deliver client value, and maintain accurate account plans, pipeline forecasts, and customer feedback.
You will own the end-to-end SEO and AEO strategy, mapping buyer questions to content roadmaps to drive organic growth and visibility. You will also collaborate with cross-functional teams to build tracking systems and verify content quality at scale.
Own the Corporate Tech target-account strategy and orchestrate account-based programs across content, paid and organic channels, events, and sales outreach. Measure and optimize account engagement, sales-accepted opportunities, pipeline, and revenue while supporting expansion within existing accounts.
You will own the end-to-end design and development of public-facing websites, establishing scalable systems and templates for content publishing. You will also partner with marketing and product teams to create intuitive digital experiences that support business growth and brand identity.
The Solutions Lead will own relationships with business and consulting clients, acting as a thought leader to connect their needs with proprietary datasets. They will partner with the revenue team to manage pitches, trials, and renewals while coordinating cross-functional delivery across engineering and product teams.
The Solutions Lead will own relationships with cloud and data infrastructure companies, acting as a thought leader and connecting their needs to proprietary datasets. They will partner with the Revenue team to manage pitches, trials, and renewals while coordinating cross-functional delivery across engineering and product teams.
The Head of Data Feeds will own the strategy, performance, and growth of the company's systematic data products and feeds portfolio. This leader will unite cross-functional teams including Product, Data, Engineering, and Revenue to build a scalable operating model and drive durable financial outcomes.
You will lead the data strategy and execution for new sectors, ensuring high-quality, actionable insights for clients through scalable workflows and data methodologies. Additionally, you will act as a player-coach, mentoring your team while collaborating cross-functionally to drive product success and business growth.
You will be responsible for designing, building, and maintaining high-performance Android applications using Kotlin and Java. Additionally, you will collaborate with cross-functional teams to integrate APIs and take end-to-end ownership of feature development and architectural improvements.
The Data Validation Analyst will support the sales team by providing technical expertise, conducting in-depth data analysis, and scoping solutions to build trust with prospective partners. They will also troubleshoot data quality issues and collaborate cross-functionally to ensure successful customer onboarding and long-term account health.
The Account Development Manager will cultivate client relationships, drive user engagement, and manage commercial strategies including renewals and upsells. They will act as a trusted partner to hedge fund clients, advocating for their needs cross-departmentally to ensure high-value outcomes.
The Senior Account Executive will manage a portfolio of existing corporate clients to drive growth, secure renewals, and identify upsell opportunities. They will collaborate with internal research and product teams to provide high-value insights and maintain strong relationships with key decision-makers.
You will lead and grow the Data Feeds product management team while owning the strategy and performance of a portfolio of data products. This player-coach role involves managing team members, setting product direction, and directly overseeing key data feed initiatives from discovery to launch.
The Senior Payroll & Benefits Administrator will own end-to-end US payroll processing for over 500 employees and manage the financial components of benefits programs. This role involves ensuring multi-state tax compliance, reconciling benefits invoices, and partnering with internal teams to scale payroll operations.
Manage and coach a team of data analysts while maintaining hands-on involvement in data quality and delivery. Lead the evaluation and development of new healthcare datasets to support the growth of the MedTech business vertical.
The Senior Staff Software Engineer will manage ERP data integration and oversee the reliability of large-scale email processing systems. Additionally, the role involves bridging business requirements with technical solutions and maintaining foundational backend API services.
You will identify and engage prospective enterprise accounts to generate interest in SpendHound's procurement and software benchmarking services. This involves utilizing various outbound communication channels to build a pipeline and working closely with the sales team to refine messaging.
The Associate Director of Product Development will drive the discovery, development, and improvement of data products to accelerate revenue growth and client engagement. They will also lead product strategy, evaluate new datasets for commercialization, and collaborate with internal teams to meet user needs.
The Senior Sales Executive will drive revenue growth by selling alternative data feed products to quantitative and systematic investment firms. This role involves managing the full sales cycle, from prospecting and lead qualification to contract execution and client relationship management.
You will partner with engineering and product teams to integrate security throughout the development lifecycle, including threat modeling and design reviews. Additionally, you will manage security tooling, validate vulnerabilities, and automate security workflows to ensure robust protection for products.
The role involves owning the end-to-end development of data products and managing centralized data ingestion pipelines. You will work with massive datasets to answer key client questions and improve data methodologies.
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.
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.
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.
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.
