YipitData

Product Manager

• Define and own the product spec for our factor library - including factor definitions, universe/coverage rules, methodology notes, historical evidence packs, factor exposure files, QA frameworks, and update cadence
• Build and scale a standardized factor taxonomy across multiple proprietary datasets
• Collaborate with our quant research team to perform deep diligence on datasets and publish high-alpha signal research, translating raw research into repeatable, productized factor pipelines
• Take quant researcher signal research and collaborate with engineering partners to turn insights into repeatable, scalable factor computation and delivery pipelines
• Conduct deep customer research to understand key systematic end-user needs, feed architecture designs, integration requirements, and backtesting workflows
• Partner closely with our revenue and product marketing teams to build GTM plans for signals and bring them to market

Product Manager, Quant Platform

QA Engineer

• Perform accurate and efficient data extraction, labeling, and cleaning from email panel or AI-generated dataset to ensure high-quality data.
• Monitor and analyze data trends for various merchants and vendors, including email categorization and trend identification.
• Maintain the stability of merchant and vendor data, investigating anomalies such as sudden drops or spikes in data volume.
• Collaborate with teams in both China and the U.S. to ensure data consistency and quality.
• Provide timely responses to analysts and clients' demands and inquiries.
• Ensure compliance with company data security and confidentiality policies.

Data QA Specialist

Data QA Associate

Data QA Associate, Finance

Data Analyst

• own high-impact data products end-to-end
• work with massive amounts of data
• tackle complex data problems independently
• use AI and tooling to drive meaningful leverage
• collaborate cross-functionally
• drive product and strategic impact

Recruitment

• Lead, coach, and scale a high-performing recruiting team
• Design the future-state TA org structure, capacity model, and sourcing strategy
• Partner with senior leadership on workforce planning and critical hires
• Personally oversee senior-level and executive searches
• Serve as a trusted advisor to business leaders on talent strategy, hiring priorities, and organizational growth plans
• Build and scale an internal sourcing function from scratch
• Implement outbound talent pipelining and market mapping strategies
• Establish clear hiring SLAs and cross-functional alignment mechanisms
• Develop performance-based metrics and dashboards that drive accountability
• Own and optimize our ATS strategy (Greenhouse experience strongly preferred)
• Evaluate and implement recruiting technology, including AI-enabled tools
• Improve forecasting, reporting, and quality-of-hire measurement
• Ensure disciplined, scalable recruiting processes across technical, sales, and finance hiring

Director – Talent Acquisition

General Counsel

• Develop contract negotiation and drafting skills to close deals
• Guide SpendHound commercial teams through the lifecycle of a deal
• Learn in a rapidly changing environment by navigating new problems
• Enhance processes, efficiency, and best practices in contract management
• Collaborate with SpendHound team for contract reviews and internal processes
• Evaluate and advise on legal courses of action

Commercial Counsel

Business Development Rep

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

Account Development Manager

Security Engineer

• Own the end-to-end vulnerability lifecycle: intake, triage, assignment, remediation coordination, verification, and closure across all finding sources.
• Enforce severity-based SLAs, escalation paths, and ownership expectations. Track remediation timelines and follow up with engineering teams to ensure findings are resolved within policy requirements.
• Aggregate findings centrally from all scanning tools and sources into a unified tracking system.
• Manage exception and risk acceptance workflows. Process exception requests, document compensating controls, and ensure approvals are captured with appropriate evidence.
• Produce vulnerability posture reports and dashboards.
• Coordinate with engineering teams on remediation prioritization, providing context on severity, exploitability, and business impact to support informed decision-making.
• Drive reduction of aging findings through proactive follow-up, workflow automation, and escalation when remediation stalls.
• Assist the DevSecOps Lead with implementation of baseline security controls.
• Help integrate controls into repositories, CI/CD pipelines, registries, and deployment workflows.
• Validate that controls are functioning as intended, producing actionable findings, and are difficult to bypass.

Senior Product Security Engineer

• Design, implement, and maintain security controls across our AWS environment
• Manage and tune AWS-native security tooling (GuardDuty, Security Hub, CloudTrail, Inspector, etc)
• Develop and enforce infrastructure-as-code (IaC) security policies using tools such as Terraform
• Conduct periodic reviews of AWS account architecture
• Collaborate with Platform Engineering teams to embed security into CI/CD pipelines
• Monitor, investigate, and respond to cloud security alerts and incidents

Cloud Security Engineer

Procurement

• Identify and evaluate potential data partners with high strategic and product value
• Engage directly with CEOs and senior executives — many of whom have not previously monetized their data — to assess opportunity and build alignment
• Lead discovery and diligence processes to understand data quality, defensibility, and long-term product applicability
• Develop strategic and economic business cases for partnership opportunities
• Negotiate and execute complex, enterprise-level agreements, including exclusive arrangements
• Coordinate cross-functionally with legal, product, compliance, engineering, and executive leadership
• Exercise strong judgment in prioritizing opportunities and determining when to pursue, pause, or walk away

Director of Data Sourcing

• Own AI behavior monitoring: Define what trustworthy and untrustworthy AI behavior looks like, and ensure it is measurable in production.
• Own AI observability standards: Establish telemetry, tracing, logging, and alerting requirements for AI systems and agentic workflows.
• Own control validation for agentic systems: Verify that guardrails, policy checks, access boundaries, and execution constraints are functioning as intended.
• Own AI security event analysis: Detect, investigate, and document suspicious, unsafe, or non-compliant AI behaviors and coordinate response.
• Own implementation support for governance frameworks: Translate governance principles into technical and operational requirements that product and platform teams can adopt.
• Own AI trust metrics and reporting: Define KPIs, KRIs, and dashboards that show leadership whether AI systems are operating within approved trust and security boundaries.
• Own continuous improvement of AI controls: Use incidents, testing, behavioral findings, and stakeholder feedback to strengthen control design and reduce residual risk over time.

AI Security Engineer

Account Manager

Director of Enterprise Data Partnerships

• ensuring that YipitData’s data products, specifically metrics tables and client-facing feeds, are accurate, standardized, scalable, and reliably published.
• enabling external dashboards and data delivery that power critical investor workflows.
• improving and scaling data platform workflows, from ingestion through transformation to delivery.
• partnering cross-functionally with Data, Engineering, and Product to define requirements, prioritize improvements, and drive adoption of best practices.
• leveraging AI tools to enhance workflows, automate processes, and improve data quality and efficiency.

• support our Metrics & Feeds initiatives on the Public Investor team
• ensure YipitData’s data products are accurate, standardized, scalable, and reliably published
• enable external dashboards and data delivery that power critical investor workflows
• improve and scale data platform workflows