YipitData

Sales Development Rep

• break down the door on a new vertical, utilizing creative prospecting
• leverage communication methods including cold calling, cold emailing, LinkedIn messages
• generate interest and meetings from Procurement leaders for a valuable product
• develop skills across a broad range of sales technology tools
• work closely with an Enterprise Sales Development Manager, Enablement Manager, and Head of Sales
• help refine the messaging for success

Senior Sales Development Representative – Enterprise

Product Manager

• Own AI product strategy for investor workflows: Define how AI transforms the way public market investors consume, analyze, and act on data.
• Build AI-native products, not just features: Design end-to-end experiences across agents, copilots, and structured outputs, not just UI layers on top of models.
• Translate frontier AI into real-world utility: Evaluate and integrate LLMs, retrieval systems, and agent architectures into production-grade products.
• Work directly with customers: Partner with hedge funds and asset managers to deeply understand workflows, pain points, and trust requirements.
• Drive rapid experimentation and iteration: Run tight feedback loops across prompts, evals, and product UX to continuously improve performance and usefulness.
• Collaborate across disciplines: Work closely with engineering, data, research, and design to ship high-quality, high-impact products, while communicating clearly with both technical and non-technical partners.
• Define quality, reliability, and trust: Establish evaluation frameworks for AI outputs, ensuring accuracy, consistency, and investor-grade reliability.
• Shape the future of the platform: Contribute to how MCPs, agents, and APIs evolve into a unified, reliable, and safe AI product ecosystem.

AI Product Manager

Marketing

• Define and execute the marketing strategy for YipitData's Investor business, aligning initiatives with company growth objectives.
• Identify new opportunities to drive awareness, engagement, pipeline generation, customer retention, and expansion.
• Serve as the primary marketing partner for Investor leadership, helping shape go-to-market priorities.
• Take ownership of key projects from concept through execution.
• Drive marketing initiatives independently while maintaining strong cross-functional communication.
• Develop and manage multi-channel demand generation programs.
• Optimize marketing programs to increase engagement, lead quality, pipeline creation, and conversion rates.
• Lead go-to-market planning and execution for new datasets, products, features, and launches.
• Create campaign assets, customer communications, and launch plans to support product adoption.

Senior Marketing Manager

DevOps Engineer

• Own the roadmap for secure SDLC controls and partner with Engineering and Product to roll out standards that are practical, scalable, and auditable.
• Develop and maintain secure development policies, implementation standards, and guidance for engineering teams.
• Drive adoption of key controls across repositories and pipelines, including branch protection, pull request requirements, code review, secrets scanning, dependency scanning, infrastructure-as-code scanning, and container image scanning.
• Partner with Engineering and Product teams to integrate security guardrails into CI/CD workflows and developer tooling.
• Support vulnerability management operations, including intake, triage, remediation tracking, verification, and reporting.
• Build reference implementations, templates, and onboarding guidance to help teams adopt secure patterns consistently.
• Define and report on metrics such as control coverage, vulnerability aging, SLA performance, and remediation progress.
• Prepare audit-ready documentation and evidence that demonstrates controls are implemented and operating effectively.
• Evaluate and prioritize future enhancements such as SAST, DAST, SBOM generation, image signing, and broader software supply chain security improvements.

DevSecOps Lead

Account Manager

• Serve as the primary relationship manager for an initial portfolio of ~5 outsourced finance partner companies
• Build strong communication channels with partners, ensuring alignment on priorities, objectives, and performance expectations.
• Help grow the channel through targeted business development via referrals and cold outreach
• Own customer targets tied to partner-sourced opportunities, including forecasting, pipeline tracking, and achievement of monthly/annual goals.
• Help define the playbook to scale this motion across many possible partners.
• Develop and manage joint go-to-market strategies with partners to drive mutual value and accelerate customer acquisition.
• Collaborate closely with internal teams (Sales, Marketing, Customer Success) to enable partners with the tools, training, and information needed to succeed.
• Monitor partner performance, report key metrics, and implement initiatives that improve outcomes for both partners and the company.
• Act as an advocate for partners internally, ensuring feedback loops for continuous improvement.

Partner Manager

• Serve as the primary relationship manager for an initial portfolio of ~5 outsourced finance partner companies.
• Build strong communication channels with partners, ensuring alignment on priorities, objectives, and performance expectations.
• Help grow the channel through targeted business development via referrals and cold outreach.
• Own customer targets tied to partner-sourced opportunities, including forecasting, pipeline tracking, and achievement of monthly/annual goals.
• Help define the playbook to scale this motion across many possible partners.
• Develop and manage joint go-to-market strategies with partners to drive mutual value and accelerate customer acquisition.
• Collaborate closely with internal teams to enable partners with the tools, training, and information needed to succeed.
• Monitor partner performance, report key metrics, and implement initiatives that improve outcomes for both partners and the company.
• Act as an advocate for partners internally, ensuring feedback loops for continuous improvement.

Partnerships Manager

• Own and cultivate relationships with your clients by leveraging product expertise
• Manage commercial strategy by developing rapport with key decision makers
• Contribute to building best-in-class practices within our growing Client Strategy team

Strategic Account Manager

• Developing creative outbound sales skills by leveraging a number of communications methods including cold calling, cold emailing, direct mail, Bloomberg message and others
• Owning the inbound sales process by developing and iterating on the prospect experience, qualifying the opportunities and delivering the YipitData value proposition to ensure sales success
• Working with Hedge Funds and Investment Managers who rely on the next generation of alternative data research to help with their investments
• Collaborating with Marketing to optimize the opportunity conversion process
• Mapping out organizational structures of leading Hedge Funds and Investment Managers to identify prospective users
• Opportunity to develop skills across a broad range of sales technology tools such as Salesforce, Gong, Groove, LinkedIn Sales Navigator, Zoom Info, Asana and others

Sales Development Representative

Business Development Rep

• Identify prospective opportunities and utilize outbound communication channels
• Qualify inbound sales leads/opportunities
• Map out organizational structures of leading Hedge Funds
• Collaborate with Marketing to optimize the opportunity conversion process
• Develop skills across sales technology tools

Business Development Representative

Manager

Renewal Manager

Product Designer

• Own end-to-end design for key Super Agent workflows, from discovery through launch.
• Design intuitive experiences that help customers explore data, ask questions, and generate insights.
• Translate complex AI and data concepts into clear, elegant user experiences.
• Partner closely with Product and Engineering to define problems, evaluate solutions, and ship high-quality products.
• Help define how users interact with the Insight Agent across search, conversation, analysis, and insight-generation workflows.
• Design experiences that build trust in AI-generated outputs through clarity, transparency, and explainability.
• Develop interaction patterns for new AI-powered capabilities and emerging customer workflows.
• Conduct user research and gather feedback to understand customer needs and pain points.
• Use qualitative and quantitative insights to improve product experiences.
• Help shape product direction by identifying opportunities to improve usability, adoption, and customer value.
• Contribute to shared design systems and standards.
• Ensure experiences remain consistent, scalable, and high quality as the product evolves.
• Partner with Engineering to maintain design fidelity and usability across releases.

Product Designer – Super Agent Platform

• Own the translation of raw alternative datasets into scalable, agent-ready data products.
• Design methodologies that answer high-value business questions, determining how disparate datasets should be combined, normalized, and interpreted.
• Partner closely with Data Engineering to shape source data pipelines into clean, well-structured datasets with clear definitions and documentation.
• Develop deep expertise in the strengths, limitations, biases, and coverage characteristics of key datasets and ensure those nuances are reflected in downstream outputs.
• Define how the Insight Agent should use different datasets, including valid query patterns, edge cases, failure modes, and methodological guardrails.
• Own metric definitions, data lineage, and documentation to ensure the agent consistently delivers accurate and explainable answers.
• Establish standards for how the agent reasons across multiple datasets, preventing over-interpretation and ensuring conclusions remain statistically defensible.
• Serve as the final reviewer for methodology-related changes that impact agent behavior.
• Translate customer questions into scalable methodologies, data models, and agent capabilities.
• Expand the range of questions the agent can answer by enabling new forms of segmentation, cohort analysis, behavioral measurement, and cross-dataset insights.
• Partner with Product, Engineering, and Leadership to identify new data sources, use cases, and capabilities that increase the commercial value of the Insight Agent.
• Help shape the product roadmap by turning emerging customer needs and experimental insights into repeatable product functionality.
• Coordinate testing and validation of staged data changes before they reach production.
• Own incident management processes for data quality issues, methodology changes, and upstream source disruptions.
• Build and maintain a library of quality checks tailored to the unique requirements of AI-powered customer experiences.
• Ensure the agent consistently surfaces reliable, accurate, and internally consistent information across all supported use cases.

Data Product Manager – Super Agent

Product Analyst

• Ramp up quickly to become the primary owner of high-impact data deliverables, driving product success by delivering best-in-class outputs with a focus on accuracy, client value, and efficiency
• Design, maintain, and run comprehensive QA processes to ensure data accuracy and reliability across assigned sector products & client deliverables
• Serve as a trusted resource for our clients and internal stakeholders by understanding client needs and aligning them with our data methodologies, limitations, and coverage
• Independently investigate and resolve complex data quality issues
• Collaborate cross-functionally with Insights and Engineering to align on best practices to deliver customer value, and develop technical solutions that streamline workflows, optimize data processes, and expand automation
• Proactively identify opportunities to improve efficiency, robustness, and data quality within your team’s workflows, and mentor peers accordingly

Data Product Analyst

• Become the primary owner of high-impact data deliverables
• Design, maintain, and run comprehensive QA processes
• Serve as a trusted resource for clients and stakeholders
• Independently investigate and resolve complex data quality issues
• Collaborate with Insights and Engineering teams
• Identify opportunities to improve efficiency and data quality

Engineering Manager

• Lead, coach, and develop a global team of data engineers while staying close to architecture, design, code reviews, debugging, and delivery.
• Partner with Product Managers, Application Team, and Research Analysts to translate roadmap priorities, customer needs, and research requirements into scalable technical plans.
• Build and improve scalable data pipelines, data models, QA systems, and customer-facing delivery mechanisms for Public Investor data products.
• Collaborate with Central Team, Feed Operations, Product Specialists, Client Success, and GTM teams to support reliable delivery, incident resolution, client communication workflows, and operational improvements.
• Use AI coding tools to accelerate engineering execution, improve documentation, strengthen QA, support technical exploration, and raise team productivity.
• Create clarity and momentum in ambiguous environments by breaking down complex data, research, and product challenges into actionable engineering plans.

Senior Sales Development Representative – Enterprise

AI Product Manager

Senior Marketing Manager

DevSecOps Lead

Partner Manager

Partnerships Manager

Strategic Account Manager

Sales Development Representative

Business Development Representative

Renewal Manager

Product Designer – Super Agent Platform

Data Product Manager – Super Agent

Data Product Analyst

Data Product Analyst

Senior Data Engineering Manager