HopHR

• Manage the capital and operating budget • Track value realization and ROI • Produce executive-ready materials • Partner on annual and mid-year planning cycles • Run talent reviews and calibration • Serve as a connective point with peer Chiefs of Staff • Identify and clear blockers for initiatives

• Run full-cycle searches for mid-to-senior technical roles: Software Engineers, Data Engineers, ML/Data Science contributors, Technical PMs • Partner with senior recruiters and hiring managers on intake, calibration, and offer strategy • Source, engage, interview, and close technical talent with white-glove candidate care • Build and grow client relationships under the guidance of a Principal recruiter • Hit weekly sourcing, pipeline, and submit-to-hire targets • Use Moon Engine daily on your real searches — flag what works, what's confusing, what's missing • Adopt AI-assisted sourcing, scoring, screening, and matching as features ship • Join feedback sessions with engineering and product; turn your day-to-day frictions into roadmap input • Document patterns and best practices as you discover them • Co-onboard enterprise clients alongside senior recruiters • Help train client recruiting teams on AI-enabled workflows • Step into more autonomous client relationships as you build trust and depth • Path to Principal Technical Recruiter within ~18–24 months for strong performers

• Develop predictive models and algorithms using Python, utilizing machine learning and statistical techniques. • Conduct exploratory data analysis to uncover patterns, trends, and relationships in the data. • Connect to various APIs to collect relevant data and integrate external data sources into our analytics pipeline. • Utilize SQL for data extraction, manipulation, and querying from relational databases. • Collaborate with stakeholders to understand business requirements and translate them into analytical solutions. • Communicate findings and insights effectively to both technical and non-technical audiences through visualizations, reports, and presentations. • Stay updated with the latest advancements in data science, machine learning, and related fields, and apply them to improve our analytical capabilities.

• Serve as a subject matter expert in clinical data, including CCD data, claims, pharmacy, lab results, and clinical documentation. • Design and maintain clinical data models, taxonomies, and classification frameworks that enable consistent interpretation and use of clinical data across the organization. • Build the clinical data feature store, establishing standards, documentation, and best practices that accelerate adoption of clinical data for downstream analytics, reporting, and AI/ML use cases. • Develop analytics by building well-documented, validated, and reusable data assets (tables, views, features) that empower analysts and data scientists to work independently with clinical data. • Create and maintain comprehensive data documentation, including data dictionaries, lineage, business logic, known limitations, and appropriate use guidelines for clinical datasets. • Build queries, dashboards, and data visualizations to effectively communicate data quality metrics, data availability, and clinical insights to technical and non-technical stakeholders. • Partner with clinical, operational, and business stakeholders to understand their data needs, translate requirements into data solutions, and ensure clinical data assets meet their analytical objectives. • Maintain data quality frameworks for clinical data, including validation rules, anomaly detection, and monitoring processes to ensure data integrity and reliability. • Translate clinical concepts into analytical frameworks, ensuring that business partners understand the capabilities and limitations of available clinical data.

• Validate ICP and refine positioning through rapid paid testing • Operate paid campaigns directly (Google Ads, Meta Ads, Reddit Ads) • Build and optimize full-funnel journeys (ads → landing → lifecycle) • Create and systematize customer-proof engines (UGC, testimonials, case snippets) • Stand up minimal lead capture, routing, and reporting infrastructure • Deliver crisp weekly performance insights tied to pipeline outcomes • Use AI and automation tools to accelerate segmentation, creative iteration, and operational workflows • Partner directly with founders on narrative, prioritization, and GTM strategy • Own end-to-end marketing for Moon’s relaunch

• You’ll start by doing what you do best: closing elite technical roles and building deep client relationships. • As you deliver hiring outcomes, you’ll also learn how to integrate AI into every part of the recruiting workflow—and help clients do the same as our platform launches. • Lead full-cycle searches for senior technical roles: Staff+ Engineers, ML Scientists, Data Platform Leaders, Technical Product Managers • Build and maintain client relationships: Partner directly with CTOs, VPs of Engineering, founders—becoming their trusted hiring advisor • Manage candidate relationships: Source, engage, interview, close top-tier technical talent with white-glove service • Run strategic intake sessions: Translate business needs and technical requirements into precise hiring strategies • Deliver results: Own outcomes, timelines, and client satisfaction for complex, high-impact searches • Test Moon Engine in production: Use the platform daily on your real searches—provide honest feedback on what works and what doesn't • Learn AI-assisted workflows: Gradually adopt AI-powered sourcing, scoring, screening, and matching as features become available • Partner with engineering/product: Participate in feedback sessions, feature demos, and roadmap discussions. Your recruiting insights drive product decisions. • Document best practices: As you learn what AI does well (and where human judgment is critical), you'll help create the playbook for AI-enabled recruiting • Onboard enterprise clients: Guide new customers through adopting Moon Engine—teaching them what you've learned • Lead training sessions: Show clients how to integrate AI into their hiring processes effectively • Strategic consulting: Advise companies on restructuring their recruiting operations for an AI-first world • Represent Hop externally: Share insights at events, on podcasts, in content—establishing yourself as a recruiting + AI expert