hims & hers

Procurement

• Collaborating with internal stakeholders to understand the requirements of our capital expenditure (CAPEX) planning and budgeting
• Establishing relationships with key external partners to bring solutions to the team
• Handling the working relationships with our facilities to understand, execute, and source the right machinery from vetted suppliers
• Establishing and maintaining RFI’s and RFP’s for strategic initiatives
• Executing legal contracts accordingly
• Establishing and optimizing our Maintenance, Repair, and Operations (MRO) function
• Seeking, qualifying, and establishing working relationships with capital equipment & MRO suppliers
• Establishing relationships with key strategic & transactional supply partners
• Working cross-functionally with Operations, R&D, and facility leads to translate functional needs into sourcing objectives
• Executing Strategic Sourcing Events (RFPs, RFQs & RFIs) for equipment & MRO
• Developing & executing to MRO cost savings targets
• Owning CapEx & MRO supplier relationship management
• Monitoring supplier performance and engaging key stakeholders for input
• Developing KPI metrics, regular reporting & communications for MRO contract adherence
• Communicating with Senior Leadership team members

CAPEX and MRO Sourcing Manager

Data Scientist

• Lead the design and delivery of ML systems and data products that directly impact company-wide growth and operational strategy
• Turn ambiguous business questions (from customer acquisition to churn dynamics) into concrete technical roadmaps that deliver clear, actionable results
• Lead the end-to-end deployment of ML products, ensuring they are not just accurate but robust, maintainable, and fully integrated into our production infrastructure
• Partner across Engineering, Product, and Finance to ensure our technical strategy is solving the right business problems and moving our core metrics
• Act as a force multiplier by establishing the standards for model development. You will lead design docs and peer reviews that ensure our work is reproducible and integrates seamlessly with the work of our Data and Analytics Engineering partners
• Take accountability for the full model lifecycle, from the initial data design through to the long-term performance and business value of production systems

Staff Data Scientist

Backend Engineer

• Influence the design and architecture of scalable and performant full-stack solutions that meet product requirements and enhance user experience.
• Champions and integrates AI tooling into team workflows, CI pipelines, code review
• Provide technical guidance and mentorship to engineers on best practices, design patterns, and coding standards.
• Introduces frameworks, tools, and libraries that raise the bar on developer efficiency
• Participate in product discovery sessions to assess feasibility, explore user needs, define product features, and validate ideas with prototypes and experiments.
• Drive group-wide architectural improvements, with a focus on eliminating redundancy, complexity, and lowering overall technical debt.
• Work closely with other engineering teams to ensure seamless integration and communication across systems and services.
• Contribute to the vision for the team and the platform as technical leader, identifying new and strategic technologies and technical investments that improve security, scalability, reliability, and performance.
• Break down complex projects into clear, actionable tasks to drive successful outcomes.
• Drives simplification of complex systems through shared tooling and design
• Implement observability practices across the platform, including logging, monitoring, and alerting to ensure system reliability and performance.
• Analyze performance metrics and user feedback to identify opportunities for improvement and drive optimization efforts.
• Create and maintain technical documentation for architecture and development processes.
• Serve on our technical advisory group to help guide and provide feedback on critical technical decisions.
• Conduct code reviews and contribute to knowledge-sharing initiatives within the team.
• Identify performance bottlenecks and propose enhancements to optimize system performance and reliability.
• Stay updated with industry trends, technologies, and best practices, and propose innovative solutions to improve the platform.

Staff Software Engineer, Core Experience – Backend

Full-stack Engineer

• Design large-complexity solutions that are performant, scalable, maintainable, and secure. Minimal rework needed after feedback.
• Identify and mitigates technical health risks within systems.
• Guide squad discussions and reviews to ensure high-quality designs and architectural decisions.
• Provide technical guidance and mentorship to engineers on best practices, design patterns, and coding standards.
• Demonstrate ownership of health and reliability concerns for squad systems, establishing metrics like KPIs and SLOs.
• Design and maintains robust monitoring and alerting systems to ensure rapid detection of production issues as part of feature delivery.
• Balance new feature development with addressing operational risks and technical debt.
• Work closely with other engineering teams to ensure seamless integration across mobile platforms, backend services, and shared systems.
• Contribute to the vision for the team and the platform as technical leader, identifying new and strategic technologies and technical investments that improve security, scalability, reliability, and performance.
• Lead efforts to improve workflows, processes, or tools within their squad to enhance discipline performance.
• Coach and mentor less experienced squad members in best practices and fosters a culture of collaboration.
• Identify inefficiencies in squad practices and proposes actionable solutions to address them.
• Serve on our technical advisory group to help guide and provide feedback on critical technical decisions.
• Conduct code reviews and contribute to knowledge-sharing initiatives within the team.
• Identify performance bottlenecks and propose enhancements to optimize app performance, responsiveness, and reliability.
• Stay up to date with industry trends, technologies, and best practices, and propose innovative solutions to improve the platform.

Senior Software Engineer, App

Analyst

• Provide thought leadership and strategic partnership to your product stakeholders, influencing roadmap decisions with data-driven insights
• Own the experimentation strategy for your product team, including test design, success metrics, sample-size estimation, guardrails, and results interpretation
• Work cross-functionally to define tracking requirements and ensure data integrity; lead analytics instrumentation
• Design intuitive dashboards in Looker that democratize data and elevate data self-service capabilities
• Create and maintain KPI frameworks and measurement plans for new features and initiatives
• Champion data quality, documentation, and deliverable consistency, serving as a mentor to junior analysts
• Identify causal relationships using advanced statistical modeling, quasi-experimental methods, and predictive modeling
• Segment users based on demographic, behavioral, and psychographic attributes to tailor product experiences and lifecycle communications
• Conduct deep-dive analyses to answer strategic business questions, quantify opportunities, and recommend clear actions

Staff Analyst, Product

• Own and drive high-impact analytical problems across Care, from problem definition through execution and recommendation
• Translate ambiguous business questions into structured analytical approaches and clear, actionable insights
• Lead deep-dive analyses into care operations, patient journeys, and provider workflows to identify inefficiencies and opportunities
• Define and own core Care metrics and KPI frameworks, ensuring consistency and alignment across teams
• Build and scale dashboards, reporting, and data foundations to support both operational and strategic decision-making
• Partner with Analytics Engineering to improve data models, data quality, and accessibility of Care data
• Proactively surface insights that influence prioritization and inform cross-functional roadmaps
• Communicate complex findings clearly to diverse audiences, including senior stakeholders, and drive data-informed decisions
• Act as a trusted partner and subject matter expert across Care, Clinical, Operations, Product, and Engineering
• Mentor other analysts and contribute to raising the bar for analytical rigor, best practices, and team impact

CAPEX and MRO Sourcing Manager

Staff Data Scientist

Staff Software Engineer, Core Experience – Backend

Senior Software Engineer, App

Staff Analyst, Product

Staff Analyst, Care