Good Inside

Human Resources

• Employee lifecycle operations — own and execute onboarding and offboarding end-to-end, ensuring a seamless, consistent, and warm experience for every employee entering or leaving the organization.
• HRIS & systems maintenance — serve as the primary admin for Rippling and Leapsome; maintain data integrity, run audits, build out workflows, and ensure people data is accurate and up to date as we scale.
• Payroll partnership — co-own the payroll process with Finance; own the HR data inputs (new hires, terminations, compensation changes, leave adjustments) and partner closely to ensure every cycle runs accurately and on time.
• Benefits administration — serve as the day-to-day administrator of the company's benefits programs through Rippling, including enrollments, qualifying life events, open enrollment coordination, and employee support; act as the primary liaison with benefits brokers and carriers to ensure offerings remain competitive and compliant.
• Leave of absence management — serve as the primary employee point of contact for all leave programs (FMLA, NY PFL, short-term disability, parental leave, etc.), managing the relationship with our leave management partner Tilt, ensuring accuracy of leave data in Rippling, and evaluating vendor performance over time.
• Employee communications — draft and send org-wide HR communications including policy updates, open enrollment, compliance notices, and cultural moments; strike the right tone for a values-driven, fast-moving team.
• HR compliance — ensure the company stays current with federal, state, and local employment law requirements; maintain employee records and documentation in accordance with legal standards.
• Employee support — serve as a knowledgeable, approachable first point of contact for employee questions on policies, benefits, and HR processes.
• Performance management — own the operational execution of performance review cycles (through Leapsome), including timeline coordination, communication to employees and managers, data integrity, and partnering with the Head of People on process design and calibration support.
• Culture & employee experience — help bring our values to life day-to-day by supporting employee engagement initiatives, internal programming, and moments that reinforce what makes Good Inside a place people want to work.

HR Manager

Product Manager

• Own retention as a business metric, including short-term engagement, cohort retention, and long-term member value.
• Diagnose where parents drop off and why, combining data with a deep understanding of parent needs and behaviors.
• Rebuild and evolve engagement loops so the product becomes a consistent, repeat part of parents’ lives.
• Identify and drive high-leverage bets that materially improve retention.
• Make clear, sometimes difficult prioritization decisions to focus the team on what matters most.
• Define and track clear retention KPIs (activation, engagement frequency, content utilization, cohort retention), and hold the team accountable to outcomes.
• Directly own complex, high-impact retention initiatives as an IC.
• Manage and develop PMs in the Retention pod (currently 1 Engagement PM), with a hands-on coaching approach.
• Operate in the details: review product work, sharpen problem framing, and ensure high-quality execution.
• Set a high bar for product thinking: clear problem framing, sharp prioritization, fast learning loops, and strong product instincts.
• Partner closely with Design and Engineering leads to build a high performing, execution-focused team.
• Identify where AI meaningfully improves retention (e.g., personalization, recommendations, adaptive content, contextual nudges)
• Lead development of AI-powered features where they drive clear value, from concept through iteration.
• Ensure AI experiences are trustworthy, transparent, and aligned with our brand, especially given the sensitive and emotional nature of parenting.
• Use quantitative data and qualitative insight together to understand why parents stay or disengage.
• Partner with Data to build clear cohort analysis and retention visibility.
• Run disciplined experiments when needed, but apply strong product judgment when speed matters more than precision.
• Clearly communicate insights, tradeoffs, and decisions.

Lead Product Manager, Retention

Designer

• Select photos from pre-approved image libraries using strong editorial judgment based on content themes and messaging
• Prepare final image assets for in-app use, including:
• Cropped and optimized versions of selected images
• Silhouetted versions of images placed against pre-created color backdrops
• Experiment with AI-generated illustrations and imagery, following internal brand guidance
• Complete assignments provided through a project management system
• Incorporate brand-alignment feedback and refine deliverables as needed
• Provide final approved assets for CMS build-out

Freelance Photo Editor/Designer

Marketing

• Execute lifecycle marketing campaigns across email, SMS, and push
• Build and deploy campaigns in Braze, including audience segmentation, targeting logic, personalization, and creative implementation
• QA and end-to-end campaign deployment - ensuring accuracy across copy, links, and rendering
• Partner with creative, product, content, analytics, and more teams to brief campaigns, align on goals, and retrieve necessary assets
• Develop and run A/B tests to optimize messaging, timing, segmentation, and channel mix
• Monitor campaign calendar, automated journeys, key customer segments, and campaign performance
• Maintain reporting and translate insights into actionable recommendations
• Proactively identify gaps or opportunities in the customer journey and recommend new lifecycle initiatives

Lifecycle Marketing Associate

Product Marketing

• Turn Product Into Story
• Launch What We Build
• Market Content Like a Product
• Sharpen the Message
• Connect the Dots

Product Marketing Manager

Machine Learning Engineer

• Design, build, and maintain backend services and APIs that power ML-driven features across the Good Inside platform
• Integrate and orchestrate ML models and third-party ML APIs (e.g., LLM providers, recommendation engines, embeddings services) into production systems
• Build data pipelines and infrastructure to support model serving, feature storage, and real-time personalization
• Collaborate closely with product, mobile, and design teams to translate ML capabilities into user-facing features
• Own the reliability, performance, and scalability of ML-adjacent backend systems
• Develop clean, maintainable, and well-documented code aligned with defined project scope
• Provide clear documentation of architectural decisions, implementation details, and handoff materials upon project completion
• Provide input on feature scope and sequencing to support timely and successful delivery of project deliverables

Senior Machine Learning Engineer

Platform Engineer

• Mobile platform foundations: architecture, shared modules, and core infrastructure (networking, auth, persistence, feature flags, analytics).
• Developer experience & velocity: tooling, templates, CI/CD improvements, build time reduction, and clear “golden path” documentation.
• Quality & reliability: testing strategy, release confidence, incident readiness, and guardrails that prevent regressions.
• Performance & observability: crash/perf monitoring, logging standards, profiling, and performance improvements across the app.
• Shared UI foundations: scale reusable UI components, theming, and accessibility standards in partnership with Design and product pods.
• Technical leadership across teams: lead RFCs, migrations, and cross-team decisions; unblock product pods with scalable patterns and pragmatic guidance.