Liminal

Research Analyst

• Validate incoming signals and intelligence outputs for accuracy, relevance, and completeness
• Conduct in-depth qualitative and quantitative research across fraud prevention, cybersecurity, regulatory compliance, and trust and safety
• Refine and maintain the Living Graph's taxonomy and ontology
• Layer expert commentary and strategic context across Command dashboards, GTM battlecards, and market briefings
• Conduct interviews, analyst briefings, and buyer demand surveys
• Analyze large datasets to identify trends, correlations, and anomalies
• Collaborate with engineering, data science, and product teams

Senior Research Analyst

Recruitment

• Own and execute the end-to-end recruiting process for GTM (Sales, Marketing, Product, and Customer Success), G&A, and Advisory roles—from role kickoff through signed offer
• Develop and execute creative sourcing strategies to identify, engage, and convert top-tier passive talent using LinkedIn, direct outreach, and specialized networks
• Conduct structured interviews using behavioral, situational, and competency-based methods to assess both role fit and cultural alignment
• Serve as a brand ambassador, ensuring every candidate interaction reflects our mission, values, and commitment to an exceptional candidate experience
• Partner closely with hiring managers to define role requirements, calibrate candidate profiles, and translate business needs into clear, compelling job descriptions
• Provide hands-on guidance throughout the hiring process, balancing speed, quality, and candidate experience
• Drive hiring velocity by managing interview coordination, feedback loops, and offer processes with autonomy and urgency
• Communicate progress clearly to stakeholders, surfacing risks, blockers, and recommendations as hiring unfolds
• Build and maintain proactive talent pipelines for core business functions to support near- and long-term hiring needs
• Apply market and candidate insights to inform sourcing approaches, role scoping, and hiring expectations
• Identify opportunities to expand and diversify talent pools in competitive markets
• Co-own and maintain the Applicant Tracking System (ATS), ensuring data integrity, accurate reporting, and streamlined workflows
• Track and report on key recruiting metrics to support transparency and continuous improvement
• Identify and implement process improvements across interview design, evaluation, and candidate communication as the organization scales
• Collaborate with our HR Generalist to ensure a smooth transition from candidate to employee during onboarding

Talent Acquisition Partner

Machine Learning Engineer

• Collaborate with cross-functional teams to define and design AI solutions aligned with business objectives
• Build, deploy, and maintain production-grade machine learning models and systems that drive efficiency and innovation across multiple departments
• Ensure AI solutions meet performance, scalability, and reliability standards in a production environment
• Continuously improve machine learning models through fine-tuning, retraining, and incorporating new data and feedback
• Monitor and optimize the performance of deployed models and systems, implementing updates and resolving issues proactively
• Work with the AI Solutions Architect to develop pipelines for automated retraining, testing, and deployment of AI models
• Leverage cloud platforms (e.g., AWS, Azure, Google Cloud) for model deployment, orchestration, and monitoring
• Implement and manage robust infrastructure to support AI applications, ensuring scalability and fault tolerance
• Develop and maintain data pipelines for efficient data ingestion, preprocessing, and feature engineering
• Conduct exploratory analyses to identify opportunities for AI innovation
• Design and prototype solutions, validating feasibility through proof of concept (PoC) projects

Senior Machine Learning Engineer

Account Executive

• Guide qualified prospects into becoming long-term clients of the Link platform.
• Manage the sales process from initial contact through to closing.
• Conduct detailed client briefings and discovery calls to understand client needs.
• Lead impactful product demonstrations and presentations.
• Collaborate with the BDR to identify new business opportunities.

QA Engineer

• Test Automation
• Design, build, and maintain automated test suites covering the cloud platform end-to-end.
• Expand automated test coverage across: Web applications, APIs and web services, Data workflows (MongoDB, Postgres), AI-driven and event-based workflows
• Partner with engineers early in the development lifecycle to: Define test strategies, Identify edge cases, Improve testability of features
• Use Playwright and modern automation practices to reduce regression risk and release friction.
• Leverage AI-assisted tools (e.g., Cursor, GitHub Copilot) to improve testing velocity and quality.
• Manual QA
• Execute exploratory, regression, and release testing.
• Validate complex workflows where automation coverage is incomplete or evolving.
• Identify gaps in automation and systematically convert manual test cases into automated tests.
• Provide high-signal feedback on usability, edge cases, and risk areas.
• Release Quality & Standards
• Actively participate in the release process.
• Ensure releases meet defined quality standards and acceptance criteria.
• Perform release sign-offs and risk assessments.
• Identify recurring quality issues and drive systemic fixes—not just one-off bug resolution.
• Test Case Management & Process
• Own QA test case management, including: Test planning, Test case creation and maintenance, Traceability between requirements, tests, and defects
• Work closely with Product and Design teams (via Jira and Figma) to ensure requirements are testable and clearly understood.
• Continuously improve QA processes, documentation, and standards across teams.
• Leadership & Accountability
• Serve as a strong quality advocate across the organization.
• Hold engineering teams accountable to quality standards.
• Be confident, direct, and constructive when raising concerns.
• Help define what “done” truly means.
• Prepare to help build and manage a QA team as the organization grows.

Senior Research Analyst

Talent Acquisition Partner

Senior Machine Learning Engineer

Account Executive

Senior QA Engineer