Read AI

Product Designer

• Design AI-Native Experiences
• Improve and evolve Search Copilot into a core workflow tool, not just an entry point
• Expand Ada beyond email into a more capable, embedded assistant
• Design for probabilistic systems, balancing power, clarity, and trust
• Shape how AI integrates across web and other touchpoints
• Elevate Usability & Integration
• Simplify complex AI outputs into actionable experiences
• Improve discoverability across product surfaces
• Define micro-interactions that communicate confidence, uncertainty, and system state
• Reduce friction in high-volume, content-heavy workflows
• Strengthen Content & Communication:
• Craft thoughtful microcopy for prompts, empty states, error states, and AI explanations
• Design for clarity in ambiguous or uncertain outputs
• Partner with PM and Engineering to define tone and behavior for assistant interactions
• Prototype & Experiment:
• Rapidly prototype new AI interaction patterns
• Explore different input modalities, including voice and conversational interfaces
• Collaborate closely with Data Science to test, iterate, and refine experiences
• Bring an experimental spirit that inspires the broader design team

Product Designer – AI Assistants, Tools

Full-stack Engineer

• Build a highly scalable data-driven SaaS platform that can easily connect to other IT systems.
• Collaborate with the product managers to clearly understand and refine product requirements, aligning them seamlessly with our business goals.
• Define the software architecture and code the product.
• Apply ML as a major differentiator for the product.
• Integrate with various tools for CI/CD, test automation, monitoring, logging, and documentation.

Member of Technical Staff – Fullstack

Backend Engineer

• Architect, develop, and maintain scalable backend services and APIs, primarily using Python (FastAPI), SQLAlchemy, and AWS infrastructure.
• Design and implement features for data ingestion, third-party integrations (e.g., Slack, HubSpot, Notion), authentication/authorization, and enterprise-grade security and compliance.
• Own the full software development lifecycle: requirements gathering, design, implementation, testing, deployment, and monitoring.
• Collaborate closely with product managers, frontend engineers, and data scientists to deliver innovative solutions.
• Drive technical excellence through code reviews, mentorship, and best practices in software engineering.
• Participate in on-call rotations and contribute to operational excellence, reliability, and observability of backend systems.
• Continuously improve system performance, scalability, and reliability to support rapid user and data growth.
• Contribute to a culture of innovation, ownership, and customer-centricity.

Staff Software Engineer – Backend, Core Services

Account Executive

• Build and execute an outbound enterprise pipeline — identify high-fit accounts from existing usage data, develop targeted outreach, and generate qualified enterprise opportunities from scratch
• Land flagship enterprise accounts — close deals with recognizable brands that validate the motion and create referenceable customers
• Consolidate organic usage into enterprise workspaces — convert individual users into structured, org-wide deployments with executive sponsorship
• Navigate complex procurement and security review processes — successfully manage enterprise buying cycles without stalling deals
• Design custom packaging and product solutions for enterprise buyers — partner with product and leadership to shape enterprise-specific offerings
• Develop a repeatable enterprise sales playbook — document the motion so it can scale as the team grows
• Operate as a relentless builder, not an order taker. You don't wait for the playbook to be written; you create your own momentum, take full ownership of your outcomes, and move with a founder's mentality in every deal
• Be a creative, collaborative consultant. Uplevel the entire team by sharing winning tactics and advising prospects with a strategic lens that goes far beyond a standard pitch

Enterprise Account Executive

Software Engineer

• Lead research efforts exploring new neural network foundations and architectures, going beyond incremental improvements
• Advance neural networks broadly, with a particular focus on LLMs as a key application area
• Rethink model representations and computational primitives
• Explore hypercomplex neural networks and alternative mathematical formulations
• Investigate analog, mixed-signal, and custom hardware approaches
• Design and run experiments and prototypes to validate novel hypotheses
• Define evaluation methodologies and compare new approaches against state-of-the-art baselines
• Translate research ideas into scalable implementations and measurable results
• Collaborate closely with engineering to bridge research and practical systems
• Act as the technical lead for this research direction
• Collaborate with the ML engineering team to support complex ML engineering projects by providing cutting-edge insights and guiding key technical decisions

Member of Technical Staff – ML Research

• Own the full sales cycle from prospecting to close, with a heavy emphasis on building and managing your own outbound pipeline
• Navigate complex deal cycles involving multiple stakeholders, procurement processes, and security reviews, building champion relationships at the user level while earning buy-in from senior decision-makers to drive deals across the finish line
• Convert product-led growth into revenue by engaging individuals already using Read AI and expanding them into paid workspaces
• Identify and target high-potential growing businesses through creative prospecting and strategic outreach
• Run discovery calls that uncover real workflow pain and deliver compelling product demos that connect Read AI to those problems
• Build urgency and momentum to move deals forward while maintaining an accurate, up-to-date forecast
• Experiment constantly. Test new messaging, new channels, new approaches, and share what works with the team
• Develop deep knowledge of the collaboration and productivity landscape so you can advise prospects, not just pitch them
• Operate as a relentless builder, not an order taker. You don't wait for the playbook to be written; you create your own momentum, take full ownership of your outcomes, and move with a founder's mentality in every deal.
• Be a creative, collaborative consultant. Uplevel the entire team by sharing winning tactics and advising prospects with a strategic lens that goes far beyond a standard pitch.

Mid-Market Account Executive

• Collaborate with the product managers to clearly understand and refine product requirements, aligning them seamlessly with our business goals
• Innovate in the field of ML/LLM/NLP by building various models by designing, prototyping, and testing them
• Build our foundation models using large-scale historical data and data generated by our services
• Partner with production teams to construct and implement scalable, efficient, and dependable ML/NLP systems and pipelines
• Play a key role in enhancing ML productivity, focusing on automation, data refinement, code efficiency, and procedural improvements
• Contribute to the bleeding edge of AI and drive innovation forward, staying ahead of the curve

Member of Technical Staff, ML

• Join us at the forefront of innovation in the AI sector. Collaborate with product managers and engineers to turn product ideas into robust systems. Design, build, and maintain full-stack components.

Member of Technical Staff, SWE

• Collaborate with the product managers to clearly understand and refine product requirements, aligning them seamlessly with our business goals.
• Innovate in the field of ML/LLM/NLP by building various models by designing, prototyping, and testing them.
• While we drive the capabilities of LLMs we expect that in some cases you’ll also apply other ML approaches.
• Build our foundation models using large-scale historical data as well as data that our services generate on a regular basis.
• Partner with our production teams to construct and implement scalable, efficient, and dependable ML/NLP systems and pipelines, designed for round-the-clock operation.
• Play a key role in enhancing our ML productivity, focusing on areas such as automation, data refinement, code efficiency, and procedural improvements.
• Contribute to the bleeding edge of AI and drive innovation forward, staying ahead of the curve.

Member of Technical Staff – ML

• Own the full sales cycle from prospecting and discovery through negotiation and close
• Generate and manage a strong pipeline through inbound lead management as well as proactive outbound efforts, creative outreach, and strategic follow-up
• Identify and target high-potential growth-stage companies that can benefit from Read AI
• Run consultative discovery conversations that uncover real workflow pain and position Read AI as a must-have productivity platform through compelling product demonstrations
• Build urgency and momentum throughout the sales process to consistently move deals forward while maintaining an accurate forecast pipeline
• Continuously experiment with new prospecting strategies, messaging, and approaches to unlock growth
• Become a trusted advisor to prospects by deeply understanding the modern collaboration and productivity landscape

• Define and Scale Our Design System
• Lead the development of a scalable design system across platforms
• Define components, patterns, tokens, and documentation
• Partner closely with engineering to ensure high-quality implementation
• Create systems that empower teams to move faster without sacrificing quality
• Reshape and Strengthen Product Architecture
• Clarify navigation and information hierarchy across the product
• Reduce complexity in enterprise workflows
• Establish scalable structures that support future growth
• Ensure consistency across web, mobile, and desktop experiences
• Raise the Craft Bar
• Raise the bar for visual design, typography, spacing, and interaction detail
• Bring thoughtful restraint and clarity to AI-powered workflows
• Provide strong critique and mentorship to other designers
• Help define what “good” looks like at Read
• Drive Cross-Functional Alignment
• Influence structural decisions alongside Product and Engineering
• Contribute to roadmap conversations where system design matters
• Advocate for clarity, usability, and coherence

Staff Product Designer – Core Experiences, Systems

• Lead the development of a scalable design system across platforms
• Define components, patterns, tokens, and documentation
• Partner closely with engineering to ensure high-quality implementation
• Create systems that empower teams to move faster without sacrificing quality
• Clarify navigation and information hierarchy across the product
• Reduce complexity in enterprise workflows
• Establish scalable structures that support future growth
• Ensure consistency across web, mobile, and desktop experiences
• Raise the bar for visual design, typography, spacing, and interaction detail
• Bring thoughtful restraint and clarity to AI-powered workflows
• Provide strong critique and mentorship to other designers
• Influence structural decisions alongside Product and Engineering
• Contribute to roadmap conversations where system design matters
• Advocate for clarity, usability, and coherence

Staff Product Designer

• Design, develop, and maintain web applications across the full technology stack (frontend and backend).
• Build and optimize user interfaces using modern frameworks such as React and Typescript.
• Develop and maintain RESTful APIs, microservices, and backend systems using Node.js, Java, Python, or similar technologies.
• Collaborate with cross-functional teams to define, design, and ship new features.
• Participate in code reviews, technical discussions, and systems design sessions.
• Troubleshoot, debug, and optimize application performance.
• Contribute to Agile development processes and CI/CD pipelines.
• Demonstrate ownership of projects and deliver solutions independently and as part of a team.

Software Engineer – Fullstack

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.