YipitData

Business Development Rep

• Develop creative outbound sales skills by leveraging various communication methods, including cold calling, cold emailing, direct mail, and more.
• Work with Product, Sales, C-level stakeholders, and Strategy professionals who rely on the next generation of alternative data research to help with their strategic decisions.
• Collaborate with Marketing to optimize the opportunity conversion process
• Map out organizational structures of leading Brands and Retailers to identify prospective users
• Opportunity to develop skills across a broad range of sales tools such as Salesforce, Gong, Groove, LinkedIn Sales Navigator, Zoom Info, Asana, and others

Business Development Associate – Corporate

Product Manager

• Own the product roadmap for one or more data feeds
• Set product vision and strategy
• Translate business goals into a technical roadmap
• Contribute to long-term feed portfolio strategy
• Share ARR and P&L accountability
• Conduct deep customer and market research
• Support pricing, packaging, and competitive positioning decisions
• Partner with Engineering on technical approach
• Work closely with Quant researchers
• Collaborate with Product Specialists
• Partner with the CS team
• Coordinate with Feed Operations
• Own the product-side accountability for data quality and reliability
• Partner with engineering and data science teams on QA frameworks
• Define and own processes for incident communication
• Own the client delivery experience end-to-end
• Partner with product marketing on centralized documentation
• Contribute to the evaluation and management of additional data vendor relationships
• Collaborate with data sourcing teams

Product Manager, Data Feeds

Data Scientist

• Translate ambiguous customer questions into well-scoped data science projects spanning panel data, time series, and causal inference
• Engineer features from large alternative-data panels (transaction-level, invoice-level, web-scraped) using Spark
• Build, validate, and interpret causal and predictive models that link alternative-data signals to financial outcomes such as revenue, earnings surprise, and KPI inflections
• Author technical white papers and customer analyses for institutional investors and Fortune 500 readers, including figures, equations, and narrative framing for sophisticated readers
• Use LLM coding assistants and agents as a primary collaborator: prototype faster, write higher-quality code, audit your own work, and ship deliverables in compressed timelines
• Build internal LLM-driven tooling (agents, eval harnesses, retrieval pipelines) for the broader organization
• Partner with data engineering, product, and revenue teams to close the loop between signal development and the customer-facing product
• Set technical standards for the team: PEP 8, type hints, vectorized operations, reproducible notebooks, sound methodology, and citation discipline

AI Engineer

• Translate ambiguous customer questions into well-scoped data science projects spanning panel data, time series, and causal inference• Engineer features from large alternative-data panels (transaction-level, invoice-level, web-scraped) using Spark• Build, validate, and interpret causal and predictive models that link alternative-data signals to financial outcomes such as revenue, earnings surprise, and KPI inflections• Author technical white papers and customer analyses for institutional investors and Fortune 500 readers, including figures, equations, and narrative framing for sophisticated readers• Use LLM coding assistants and agents as a primary collaborator: prototype faster, write higher-quality code, audit your own work, and ship deliverables in compressed timelines• Build internal LLM-driven tooling (agents, eval harnesses, retrieval pipelines) for the broader organization• Partner with data engineering, product, and revenue teams to close the loop between signal development and the customer-facing product• Set technical standards for the team: PEP 8, type hints, vectorized operations, reproducible notebooks, sound methodology, and citation discipline

Frontend Engineer

• Take ownership of new product development from concept to implementation
• Collaborate closely with global teams to understand business requirements and contribute to technical discussions
• Apply creativity and explore new technologies to deliver high-performance and user-friendly solutions
• Maintain and enhance existing products through iterative updates and user experience improvements

Senior Front-End Software Engineer – Global Team

Operations

• Work with corporate retail and brand customers to understand their category structures and product attribution requirements.
• Execute the mapping of products to customers' category needs, utilizing both manual tagging and machine learning tools.
• Apply strong judgment and interpretation skills to ensure that data mapping aligns with customer specifications and business goals.
• Collaborate with cross-functional teams to plan and deliver projects on time, ensuring high levels of accuracy and precision.
• Continuously monitor and improve product attribution processes to increase efficiency and quality.
• Leverage technical skills to enhance existing processes and tools that support data operations.
• Maintain strong attention to detail and ensure accuracy in every aspect of the data mapping process.
• Take accountability for successfully executing projects, including meeting deadlines and client expectations.

Data Operations Analyst

Product Analyst

• Become a core owner of Signals data products
• Work closely with AI and Data Engineering teams to build and maintain AI-tagging systems
• Design, maintain, and run QA processes to validate data across thousands of vendors
• Investigate and resolve complex data quality issues independently
• Serve as a trusted resource for internal and external stakeholders by understanding client use cases and aligning them with data methodologies
• Conduct and deliver detailed analytical write-ups on specific vendors, sectors, or trends
• Collaborate cross-functionally to ship improvements fast
• Help translate customer feedback into actionable improvements