SupplyHouse.com

Analytics Engineer

• Design and build a layered, version-controlled data model in BigQuery using Dataform
• Migrate business logic from ad hoc scheduled queries into governed, reusable, tested models
• Define and own canonical definitions of core business metrics
• Implement automated data testing and continuous integration
• Document models, definitions, and data lineage
• Partner with analysts and business stakeholders to support reliable self-service reporting
• Partner with IT to support accurate and timely raw data ingestion
• Help evaluate and shape the future BI layer
• Report to the Senior Manager of Data Analytics
• Build SupplyHouse.com's production data layer and make high-quality data accessible and actionable across the organization

Recruitment

• Own full-cycle recruitment for assigned entry- and mid-level roles from intake through offer and start
• Proactively build and manage candidate pipelines using Greenhouse, LinkedIn Recruiter, Indeed, Handshake, university relationships, networking, AI-assisted sourcing tools, and other recruiting tools
• Review applications and resumes using AI-assisted screening tools as a first-pass filter while applying independent human judgment
• Conduct Zoom interviews and complete detailed interview scorecards and evaluations
• Schedule and coordinate interviews, hiring events, and walk-in interview days
• Administer technical, creative, and personality assessments and background checks as needed
• Partner with hiring managers from intake through offer and manage candidate communications, status updates, follow-ups, and rejections
• Handle sensitive information including performance insights, offers, negotiations, and disqualifications confidentially
• Maintain accurate, audit-ready candidate records and compliant evaluation and candidate data privacy practices
• Track recruiting metrics including time-to-fill, funnel conversion, source effectiveness, pipeline quality, and recruiting targets
• Represent SupplyHouse and promote its culture at university career fairs and recruitment events
• Monitor recruitment trends, job boards, salary data, and AI-assisted recruiting tools
• Draft and post job openings and maintain accurate requisitions in Greenhouse
• Complete reference checks and support offer preparation, approvals, pre-boarding, and onboarding handoff
• Support the Talent Acquisition Team Lead and Manager with recruitment tasks and special projects
• Partner with the Talent Acquisition Team Lead in job kick-off and recurring regroup meetings

Junior Recruiter

Product Manager

• Conduct user and market research to guide product strategy and translate insights into features and actionable roadmaps
• Evaluate and prioritize opportunities based on business impact, technical complexity, resource availability, and broader business goals
• Drive strategy, discovery, and implementation of complex system integrations, improvements, and customer-facing features
• Manage site search strategy, including relevance tuning, ranking signals, synonyms, query understanding, faceted navigation, autocomplete, and zero-results recovery
• Manage category navigation and browse taxonomy across thousands of product SKUs
• Lead CX platform strategy covering acquisition, personalization, analytics integrations, and CRM data flows
• Own the product backlog, including technically sound user stories, acceptance criteria, and technical documentation in JIRA and Confluence
• Facilitate Agile ceremonies including backlog grooming, sprint planning, and sprint reviews
• Manage timelines and deliverables across departments and collaborate with stakeholders to meet deadlines
• Collaborate with developers to define technical requirements and align implementation with business objectives
• Translate between business and technical stakeholders while advocating technical best practices
• Lead UAT planning and execution
• Support end-to-end testing, QA, and validation for technical implementations and integrations
• Establish project metrics and monitoring plans, analyze product performance, and resolve post-launch technical issues
• Communicate complex insights and outcomes to stakeholders at all organizational levels
• Identify team problems and proactively propose and implement solutions

Senior Product Manager – Search and Discovery

Human Resources

• Own end-to-end execution of Employee Listening & People Insights programs, including Peakon administration, survey and pulse execution, qualitative listening, reporting, and stakeholder follow-up
• Analyze employee feedback, participation trends, and listening program data to identify themes and recommend improvements
• Execute defined components of performance management, talent discussions, and succession programs, including research, resource creation, and follow-up
• Analyze performance and talent program data and participant feedback to identify trends and implement tactical improvements
• Support learning and development programs, including facilitating recurring sessions and improving content and resources
• Develop tools, resources, and content supporting career growth and leadership readiness
• Maintain updates to job leveling guides and job architecture resources with the Talent Management Manager and Compensation team
• Train and support managers and employees on assigned performance, talent, development, and listening programs
• Manage project timelines, deliverables, and stakeholder expectations; identify issues and propose solutions
• Provide continuity coverage across performance, talent, and development programs during team absences

Talent Management Specialist

• Own the product operating model end to end, including product management practice, delivery engine, and annual roadmap
• Report to the COO and lead a team of Product Managers embedded in cross-functional pods
• Hold product pods accountable for measurable customer and business outcomes
• Partner with the VP of IT, Senior Manager of UX, Director of Enterprise AI Adoption, and business leaders
• Define pod missions, success metrics, guardrail metrics, decision rights, operating cadence, and shared accountability
• Resolve cross-pod dependencies, sequencing conflicts, and platform-versus-feature tradeoffs
• Directly manage, coach, recruit, onboard, and retain Product Managers
• Build product management capability across discovery and delivery practices
• Translate company strategy into product strategy, north star metrics, and supporting metric trees
• Establish product analytics, instrumentation, measurement, and outcome reporting
• Lead continuous discovery, customer research, usability practices, experimentation, and evidence-based prioritization
• Manage portfolio allocation across growth, platform health, and exploratory work
• Build and maintain the annual now/next/later product roadmap
• Run quarterly planning, including OKR setting, bet selection, capacity modeling, and tradeoff decisions
• Maintain executive and board alignment on roadmap commitments, bets, and changes
• Maintain a rigorously prioritized backlog with clear definitions of ready and done
• Ensure initiatives have scope, milestones, owners, dependencies, risks, decision points, and launch criteria
• Establish delivery risk management and hold Product Managers accountable for planning, status reporting, and stakeholder alignment
• Coordinate cross-functional execution across Product, IT, UX, AI Enterprise Enablement, Marketing, Merchandising, Operations, Customer Service, and other teams
• Ensure launches include communication, training, operational readiness, adoption planning, feedback mechanisms, and post-launch reviews
• Improve delivery health using cycle time, throughput, and predictability indicators
• Partner with IT and engineering leaders on technical strategy, architecture, capacity, security, reliability, scalability, and platform health
• Ensure product requirements account for system dependencies, integrations, data flows, APIs, and nonfunctional requirements
• Evaluate build, buy, and partner options based on value, impact, feasibility, risk, cost, and maintainability
• Balance customer-facing enhancements with platform modernization, technical debt reduction, reliability, and foundational capabilities
• Partner with AI Enterprise Enablement to identify, evaluate, prioritize, and roadmap AI opportunities
• Ensure AI product decisions consider usability, data quality, security, responsible use, feasibility, and performance
• Distinguish AI experimentation from scalable production capabilities and promote reuse of enterprise AI capabilities
• Establish analytics and reporting to evaluate product adoption, customer behavior, operational impact, and business results

Analytics Engineer

Junior Recruiter

Senior Product Manager – Search and Discovery

Talent Management Specialist

Director of Product