Hungryroot

Data Scientist

• Build, deploy, and maintain end-to-end machine learning models (decision trees, Bayesian models, clustering, for example) to drive personalization, recommendations, inventory optimization, and logistics
• Lead and evolve the ML function to support the next phase of Hungryroot’s Data Science team
• Collaborate cross-functionally with product, engineering, and ops to translate business needs into scalable ML solutions
• Ideate and brainstorm with Operations Research Engineers, ML Engineers, Data Engineers, and Data Analysts to continually enhance and drive the ML roadmap forward
• Own the full ML pipeline: from data exploration and feature engineering to model training, evaluation, and productionization
• Write clean, production-ready code with an emphasis on reusability, performance, and reliability
• Stay current with the latest trends and techniques in machine learning and apply them pragmatically to real-world problems

Staff Data Scientist

Android Engineer

• Design, develop, and maintain high-performance, reliable, and maintainable mobile applications for the Android platform using Kotlin
• Work closely with other developers, designers, and product managers to deliver new features and improvements to the app
• Troubleshoot and debug any issues that arise in the app and provide ongoing maintenance and support
• Lead and mentor other developers, and be involved in the development and review of technical designs and architecture
• Participate in code reviews, technical meetings and project planning meetings
• Continuously learn and stay up-to-date with the latest development technologies and best practices in the Android ecosystem

Senior Software Engineer, Android

Human Resources

• Oversee and manage health, retirement, leave, wellness programs, and COBRA administration.
• Manage vendor relationships for benefits broker, medical, dental, and other vendors; resolve escalations and claims issues.
• Lead open enrollment processes, including system configuration, communication, and employee education.
• Manage Leaves of Absence, FMLA, Short Term Disability, and related employee counseling and documentation.
• Conduct annual 401(k) audit, coordinate with external vendors, and resolve issues.
• Administer COBRA open enrollment, subsidies, and notifications.
• Review and approve billing, invoicing, and automation projects with vendors.
• Support compensation strategy, role pricing, and job data submission for surveys (Radford).
• Manage bonus processes, including calculations, updates, and payouts.
• Support executive, board, and consultant grants.
• Provide compensation data and modeling support to HRBPs and leadership.
• Lead HRIS design and functionality enhancements for onboarding, compensation & bonuses, and site-specific processes.
• Manage employee data updates, support cases, and report generation for stakeholders.
• Oversee vendor relationships related to HRIS automation, data feeds, and system integrations.
• Work with technical teams to implement system changes and automate workflows.
• Onboard corporate employees, execute I-9 processes, and update organizational charts.
• Support audits (external such as KPMG and internal compliance checks).
• Ensure adherence to federal, state, and local employment regulations.
• Manage process documentation, reporting, and compliance obligations, including ACA 1095-C forms.
• Support process audits and participate in walk-throughs with external auditors.
• Serve as a primary contact for employee questions related to benefits and compensation.
• Develop clear communication materials for open enrollment, onboarding, and ongoing benefit education.
• Build support for people operations initiatives and facilitate smooth communication channels.
• Handle special projects and stretch assignments as needed, including process improvements and automation initiatives.

Senior Benefits and Compensation Specialist

• Partner with Product, Design, Engineering, AI/ML, Marketing and Finance teams to identify key areas of opportunity and define metrics aligned with business goals.
• Analyze user behavior, product performance, and customer friction, to generate actionable insights that inform product strategy.
• Shape the product roadmap by sizing opportunities and quantifying business impact, modeling ROI, and aligning stakeholders on the highest-value product investments.
• Develop and manage scalable dashboards, KPIs, automated reports and self-serving tooling to provide visibility into product health and performance.
• Own and scale experimentation frameworks (including A/B and multivariate testing) to ensure consistent, rigorous measurement of product performance and feature success
• Advance the product analytics function by leveraging AI, machine learning and modern statistical methods (i.e. regression, causal inference, predictive modeling) to strengthen insights, streamline workflows, and promote best-in-class practices.
• Act as a thought partner to senior leadership, translating complex data into compelling narratives that support strategic decisions.
• Lead and develop Product Analysts, providing guidance on technical skills, stakeholder management, and career growth.
• Foster a culture of data literacy and continuous improvement by aligning cross-functional teams on objectives, key metrics, analytical techniques, and data governance.

Senior Manager, Product Analytics

Product Manager

• Drive product features through their entire creative cycle: ideation, specification, development, release, analysis, and iteration
• Establish the product vision and strategy for your product set/feature
• Build alignment across all cross-functional stakeholders and leadership team
• Perform qualitative and quantitative research to explore and validate feature ideas
• Partner with product designers to ensure delightful user experience
• Work with engineers to help guide feature development
• Perform experiment analysis on features and find opportunities for optimization
• Develop insights and run independent experiments leading to new product ideas
• Collaborate with engineering, data science, and operations teams
• Report to the Director of Product and contribute to the company mission of supporting customers' full spectrum of wellness goals

Senior Product Manager

• Drive product features through their entire creative cycle: ideation, specification, development, release, analysis, and iteration
• Establish a clear product vision and strategy that empowers customers with confidence in our Recommendations by ensuring transparency and trust, while seamlessly collecting the right inputs at the right moments to personalize their experience
• Build alignment across all cross-functional stakeholders and leadership team
• Perform qualitative and quantitative research to explore and validate feature ideas
• Partner with product designers to ensure delightful user experience
• Work with engineers to help guide feature development
• Perform experiment analysis on features and find opportunities for optimization
• Collaborate with engineering, data science, and operations teams
• Report to the Director of Product and drive product optimizations and major product decisions

Senior Product Manager – Recommendations

Full-stack Engineer

• Own mission-critical and high scale systems and integrations, particularly those that support operations, data science, and other dev teams
• Design, document, and support tooling and integrations that accelerate other backend engineering teams’ velocity through outstanding developer experience and minimized cognitive load
• Drive important technical discussions and help the team arrive at the best possible solution given any constraints we may face. Be a sounding board to other engineers and willing to offer assistance in helping solve very difficult problems
• Work closely with engineering leads on planning and execution of large, complex projects
• Contribute directly to important feature development and maintenance
• Help raise the bar on code quality and enforce engineering discipline through code review feedback, testing, automation, technical presentations and opportunistic refactoring
• Participate in the interview process of other senior, mid, or junior engineering candidates and contribute to hiring decisions

Senior Software Engineer, Platform

Manager

• Oversee the full-cycle accounts payable process, ensuring accurate and timely processing of invoices and vendor payments.
• Manage vendor relationships, including reconciliation of statements, resolution of discrepancies, and negotiation of payment terms.
• Maintain the accounts payable ledger, aging and ensure accuracy of financial data.
• Oversee payroll operations for a distributed US-based workforce, ensuring timely and accurate processing of employee compensation, benefits, and deductions.
• Ensure compliance with federal, state, and local payroll tax requirements and reporting obligations.
• Manage the relationship with payroll system provider (Ceridien Dayforce) and internal People team partners to resolve issues and improve processes.
• Implement and maintain controls to safeguard payroll accuracy and employee data security.
• Oversee employee expenses related to the company. This includes both expense reimbursement and corporate card management.
• Ensure employees are submitting expenses in a timely manner based on deadlines set for month-end close.
• Manage the relationship with the expense system provider (SVB) to resolve issues and improve processes.
• Ensure compliance with company policies, GAAP, and regulatory requirements (including preparation and filing of annual 1099s).
• Implement and monitor internal controls to safeguard company assets and support SOX readiness.
• Prepare and analyze AP and payroll reports to support financial decision-making.
• Support month-end close processes, provide documentation for audits, and support cash forecasting.
• Supervise and mentor AP and payroll staff, fostering a culture of accuracy, accountability, and continuous improvement.
• Identify and implement process enhancements, leveraging automation, AI and systems to improve efficiency and scalability.
• Serve as the escalation point for complex vendor, employee, and internal payment inquiries.
• Collaborate with our broader Finance leadership to optimize budgeting, reporting, working capital and strengthen financial operations.
• Partner with our People team to ensure alignment on employee data and onboarding & offboarding process flows.
• Work closely with bill approvers across the organization to help ensure timely payment of bills, as well as the accuracy of billings compared to budget.

Manager, Payments

Bookkeeper

• Manage the end to end payroll process, including the application of processes and policies to ensure accurate payment of both weekly and biweekly payrolls.
• Manage all payroll operations, including pay changes and audit controls.
• Be the primary point of contact for all employee payroll questions.
• Work closely with Accounting for proper recording of payroll activity to the general ledger.
• Ensure accurate processing of all special pay items such as termination pay, severance, garnishments, holidays, promotions, merit increases, employee time off policies, stock transaction tax recordings, and more.
• Drive process improvements aimed at increasing efficiency and compliance and assess opportunities for process automation.
• Ensure compliance with federal, state, and local reporting requirements
• Own and manage our state payroll tax compliance, including state tax registrations, regular state tax fillings, unemployment accounts, and withholding setups.
• Execute and update payroll processes and workflows in a way that produces clear documentation of controls for external audits.
• Maintain and update general ledger codes associated with employees in the payroll system.
• Work with the People Team to reconcile issues on the weekly & biweekly payroll logs and other pay items such as Leave of Absence pay schedules, quarterly bonuses, spot bonuses, sign on bonuses, benefit cost share changes from life events, etc.
• Manage benefit vendor funding for 401k, FSA, and HSA deductions
• Continually integrate AI processes into your workflow and to simplify IT for the organization, so you can spend time on the most meaningful work.