Read AI

Manager

• Partner with Product and cross-functional leaders to define core product metrics/KPIs and measurement strategy (activation, engagement, retention, conversion, expansion).
• Own recurring product performance reporting for weekly and monthly business reviews, translating results into clear narratives and decisions.
• Build and maintain dashboards that surface trends, anomalies, and leading indicators; ensure metric definitions and instrumentation remain accurate and consistent.
• Investigate performance changes, identify root causes, and communicate implications, tradeoffs, and actionable recommendations to inform product strategy and roadmap.
• Own metric definitions and governance to ensure consistency across teams and reporting.
• Implement data quality checks and monitoring for key datasets and KPIs.
• Document metric logic, business rules, and data lineage for core reporting models.
• Identify data gaps and instrumentation needs and drive resolution with cross-functional partners.
• Own the semantic layer that joins data, applies business logic, and produces curated datasets and metrics for analysis and dashboards.
• Build and maintain analytics-ready data models that enable scalable insights and self-serve reporting (with the support of other Sr. Data Analyst).
• Align with Engineering on data contracts, table availability, freshness expectations, and quality standards.
• Partner with Engineering on a clear data ownership model, where Engineering is responsible for the pipelines and infrastructure that move raw data into the data lake and warehouse.
• Partner with product, marketing, lifecycle, sales, and leadership to translate insights into actions and priorities.
• Support segmentation, measurement plans, and experiment evaluation.
• Surface churn risk and expansion signals using usage patterns and lightweight scoring approaches.
• Deliver executive-ready readouts that connect product performance to decisions, tradeoffs, and next steps.

Manager, Analytics & Strategy

Full-stack Engineer

• Own major feature areas end-to-end across iOS (Swift, SwiftUI) and Android (Kotlin, Jetpack Compose) - from technical design through implementation, testing, rollout, and iteration.
• Help lead the development of new mobile features and product improvements, driving execution and aligning partners on scope, tradeoffs, and timelines.
• Build and enhance real-time audio capture and processing across platforms, leveraging AVFoundation (iOS) and Android audio frameworks to ensure high-quality recordings and accurate transcription.
• Optimize app performance, reliability, battery usage, and latency to deliver smooth, real-time AI-powered transcription and summarization.
• Design and implement AI-powered mobile interactions, including chat-based experiences that let users explore, query, and take action on meeting reports and insights.
• Partner closely with product, design, and ML teams to prototype and ship novel mobile UX patterns for conversational AI, making complex information feel intuitive, fast, and useful.
• Evolve mobile architecture patterns, state management, and shared engineering standards to support rapid iteration and maintainability at scale.
• Establish and uphold best practices for code quality, testing, release hygiene, observability, and performance profiling across both platforms.
• Implement strong security, privacy, data handling, and offline-first support to ensure user trust and reliable cross-device experiences.
• Mentor and support other engineers through design reviews, pairing, and code review, helping grow technical skills and product instincts across the team.
• Contribute to hiring by defining role expectations, participating in interviews, and helping raise the overall bar for the mobile team.

Senior Software Engineer – Mobile

Engineering Manager

• Lead and grow a frontend engineering team (hiring, coaching, performance, career development)
• Set technical direction for React.js architecture, performance, accessibility, and quality
• Partner with Design and Product to deliver cohesive, elegant user experiences
• Build and evolve a component system/design system to improve speed and consistency
• Use metrics and user feedback to guide prioritization and continuously improve the product
• Support an experimentation mindset (A/B tests, feature flags, iteration loops) to improve UX and engagement
• Drive execution from planning through launch, balancing velocity and engineering excellence
• Establish and reinforce best practices: testing, code review, observability, and reliable releases

Manager, Analytics & Strategy

Senior Software Engineer – Mobile

Software Engineering Manager, Frontend