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Dedicate most of your time to writing, reviewing, and shipping production code on your primary platform. Use agentic coding tools as a core part of your daily workflow — AI-assisted code review, automated test generation, AI-augmented development — while maintaining code quality, security, and human oversight. Design and build features end-to-end, from technical approach through implementation, testing, and release. Apply established architectural patterns to keep your code modular, maintainable, and testable. Collaborate closely with Product Management and UX to take defined features from spec to shipped experience, surfacing technical tradeoffs and feasibility early. Build and maintain secure, reliable communication between client applications and Cricut hardware over Bluetooth, BLE, USB, and Wi-Fi. Optimize application performance — startup time, memory usage, responsiveness, rendering, battery life, and network efficiency. Ensure application security through encryption, secure authentication, certificate validation, and secure credential/key management. Write and maintain automated tests for your features. Drive CI/CD automation, release quality, and deployment processes for your platform (App Store, Google Play, or desktop distribution). Ship behind feature flags with progressive rollout and kill-switches, validating new behavior with production telemetry before ramping. Own release health through telemetry — tracking crash-free rate, performance budgets, and defect trends. Participate in code reviews and share knowledge with other engineers on your platform. Evaluate emerging platform, AI, and tooling technologies, and recommend adoption where they'd meaningfully improve your team's work. Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field. 8+ years of professional client/frontend software development experience, with deep, production-level expertise in one of: iOS, Android, or Electron/Angular. Strong expertise in device connectivity — Bluetooth Classic, BLE (including GATT design), USB, and Wi-Fi (provisioning, mDNS/SSDP discovery) — along with real-world experience handling pairing, interference, bandwidth limits, and reconnection. Experience developing backend APIs using at least one modern technology stack, such as .NET/ASP.NET Core, Node.js with NestJS/Express, Java with Spring Boot, or Python with FastAPI/Django. Working knowledge of embedded hardware integration: firmware constraints, command protocols, calibration, OTA updates, and error handling/telemetry. At least a year of hands-on, pragmatic use of modern AI engineering tools (Claude Code, Cursor, Copilot, etc.), with practical experience integrating AI/LLM capabilities where relevant (agentic patterns, evals, latency/cost/reliability tradeoffs). Expert-level proficiency in the language matching your primary platform (Swift, Kotlin, or TypeScript). Strong expertise in the native UI framework for your platform (SwiftUI/UIKit, Jetpack Compose, or Electron/Angular). Strong understanding of your platform's concurrency model (Swift Concurrency, Kotlin Coroutines/Flow, or modern asynchronous JavaScript/RxJS). Experience with architectural patterns such as MVVM, Clean Architecture, MVI, or component-based architecture. Experience consuming REST APIs. Strong debugging, profiling, and performance optimization skills using platform-native tools (Xcode Instruments, Android Profiler, or browser/Electron devtools). Experience with automated testing (unit, integration, UI/end-to-end) and CI/CD pipelines. Working knowledge of secure credential storage (Keychain, Android Keystore, or equivalent). Experience instrumenting applications with telemetry/observability tools (e.g., Datadog, Firebase, or platform-native logging). Soft Skills Communicates clearly with engineering, product, and design — written and verbal. Collaborates well with Product Management and UX, building alignment on scope and tradeoffs. Shares knowledge readily and helps other engineers on the team grow. Stays curious about new tools and techniques, especially in AI-assisted development, and brings practical improvements to the team.

Dedicate most of your time to writing, reviewing, and shipping production code on your primary platform. Use agentic coding tools as a core part of your daily workflow — AI-assisted code review, automated test generation, AI-augmented development — while maintaining code quality, security, and human oversight. Design and build features end-to-end, from technical approach through implementation, testing, and release. Apply established architectural patterns to keep your code modular, maintainable, and testable. Collaborate closely with Product Management and UX to take defined features from spec to shipped experience, surfacing technical tradeoffs and feasibility early. Build and maintain high-performance 2D graphics editing and rendering capabilities for creative, design-focused features. Optimize application performance — startup time, memory usage, responsiveness, rendering, battery life, and network efficiency. Ensure application security through encryption, secure authentication, certificate validation, and secure credential/key management. Write and maintain automated tests for your features. Drive CI/CD automation, release quality, and deployment processes for your platform (App Store, Google Play, or desktop distribution). Ship behind feature flags with progressive rollout and kill-switches, validating new behavior with production telemetry before ramping. Own release health through telemetry — tracking crash-free rates, performance budgets, and defect trends. Participate in code reviews and share knowledge with other engineers on your platform. Evaluate emerging platform, AI, and tooling technologies, and recommend adoption where they'd meaningfully improve your team's work. Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field. 8+ years of professional client/frontend software development experience, with deep, production-level expertise in one of: iOS, Android, or Electron/Angular. Hands-on experience with graphics/rendering technologies relevant to your platform — e.g., Core Graphics/Metal on iOS, Canvas/Skia/Vulkan on Android, or Canvas/WebGL/Skia (CanvasKit) on Electron/Angular. Experience developing backend APIs using at least one modern technology stack, such as .NET/ASP.NET Core, Node.js with NestJS/Express, Java with Spring Boot, or Python with FastAPI/Django. At least a year of hands-on, pragmatic use of modern AI engineering tools (Claude Code, Cursor, Copilot, etc.), with practical experience integrating AI/LLM capabilities where relevant (agentic patterns, evals, latency/cost/reliability tradeoffs). Expert-level proficiency in the language matching your primary platform (Swift, Kotlin, or TypeScript). Strong expertise in the native UI framework for your platform (SwiftUI/UIKit, Jetpack Compose, or Electron/Angular). Strong understanding of your platform's concurrency model (Swift Concurrency, Kotlin Coroutines/Flow, or modern asynchronous JavaScript/RxJS). Experience with architectural patterns such as MVVM, Clean Architecture, MVI, or component-based architecture. Experience consuming REST APIs. Strong debugging, profiling, and performance optimization skills using platform-native tools (Xcode Instruments, Android Profiler, or browser/Electron devtools). Experience with automated testing (unit, integration, UI/end-to-end) and CI/CD pipelines. Working knowledge of secure credential storage (Keychain, Android Keystore, or equivalent). Experience instrumenting applications with telemetry/observability tools (e.g., Datadog, Firebase, or platform-native logging). Soft Skills Communicates clearly with engineering, product, and design — written and verbal. Collaborates well with Product Management and UX, building alignment on scope and tradeoffs. Shares knowledge readily and helps other engineers on the team grow. Stays curious about new tools and techniques, especially in AI-assisted development, and brings practical improvements to the team.

We're looking for a Staff AI-Native Software Engineer to architect the future of a cross-platform design product—spanning desktop and mobile apps for manual and AI-assisted design creation, cloud-saved projects, and rock-solid connectivity and execution on cutting machines over Bluetooth, USB, and Wi-Fi. This role demands deep systems thinking across client apps, backend services, device connectivity, and hardware/firmware integration, with a mandate to make the entire stack secure, scalable, extensible, maintainable, observable, and genuinely delightful to use. Just as important, you'll shape how AI gets woven into both the product experience itself and the way our engineering organization builds software. Key Responsibilities Champion AI-native engineering practices (agentic coding, AI-assisted review, test generation, AI-augmented design/ADRs) while staying hands-on in critical code paths and maintaining quality, security, and human oversight. Drive end-to-end architecture across app, cloud, and device layers—data/control flow, latency, reliability, failure recovery, APIs/integration contracts (with versioning), cross-platform app design, and reliable Bluetooth/USB/Wi-Fi connectivity. Lead architecture governance up front for major initiatives: author/review ADRs, run architecture reviews, and keep major PRs traceable to their ADR. Own planning, estimation, and delivery accountability—scrutinizing estimates and separating engineering effort from calendar time. Ensure reliability, security, and performance through retries, secure auth, encryption, certificate validation, and permissions. Partner cross-functionally with product, design, QA, manufacturing, firmware/EE, AI/ML, support, and security, and mentor engineering leaders on performance/UX/reliability/cost tradeoffs. Own safe shipping and release health—feature flags, progressive rollout, kill-switches, A/B experiments, and telemetry-driven tracking of crash-free rate, performance budgets, and defect counts. 8+ years shipping production software across the full stack—client apps, backend services, and device integration—with strong proficiency in several of the following technologies: Swift, Kotlin, JavaScript/TypeScript, C#, React, and Python. At least a year of hands-on, pragmatic use of modern AI engineering tools (Claude Code, Cursor, Copilot, agentic SDKs), with the credibility to lead a team in adopting them safely—paired with production experience integrating AI/LLM capabilities: model orchestration, retrieval, agentic patterns, evals, and managing latency/cost/reliability tradeoffs. Experience developing backend APIs using at least one modern technology stack, such as .NET/ASP.NET Core, Node.js with NestJS/Express, Java with Spring Boot, or Python with FastAPI/Django. Proven track record building cross-platform products at scale across iOS, Android, desktop, and web, using shared code, platform abstraction layers, and disciplined API contracts; React Native or Flutter experience a plus. Strong expertise in device connectivity—Bluetooth, Wi-Fi, and USB—including BLE GATT design, Wi-Fi provisioning, and mDNS/SSDP discovery, plus the real-world grit of pairing, interference, bandwidth, reconnection, and platform constraints. Working knowledge of embedded and hardware integration: firmware constraints, command protocols, calibration, safety, OTA updates, and error codes/telemetry. Strong backend experience with REST APIs, microservices, and backend integration, plus a solid security foundation including hands-on asymmetric cryptography. A track record leading large-scale refactors and modernization efforts, with the ability to communicate architecture clearly—diagrams, ADRs, tradeoffs—and influence across teams. Comfortable operating at roughly 90% hands-on implementation, 10% architecture leadership: someone who leads by building, not just directing. Soft Skills Communicates complex technical ideas with clarity—written and verbal—across engineering, product, and design. Influences without authority, building genuine stakeholder alignment even when priorities compete. Mentors with intent, with a track record of leveling up senior engineers into stronger technologists and leaders. Thinks strategically without losing sight of implementation detail—equally comfortable setting direction and getting into the weeds. Stays genuinely curious, tracking advances in software development, tooling, and platforms, and pulls the best of what's new into the team's everyday practice. We’ve Got You Covered At Cricut, we take care of our people. Enjoy competitive Medical, Dental, and Vision coverage, a 401(k) match, generous PTO, tuition reimbursement, and a yearly lifestyle stipend to support your wellness and passions. You’ll also receive exclusive employee discounts—and best of all, you’ll be surrounded by some of the most talented, creative, and curious minds out there. A Quick Note Before You Apply… Cricut is in an exciting chapter of transformation. We’re evolving fast—refining our strategy, growing our teams, and raising the bar across everything we do. This is an incredible opportunity for the right kind of person—but it’s not for everyone. We’re looking for A-players—people who thrive in dynamic environments, turn challenges into momentum, and consistently deliver their best work. If that sounds like you, read on. Here’s what makes someone a great fit for this role (and for this moment at Cricut): You move with urgency. You don’t wait for perfect clarity to act—you start, learn, and adjust. You set high standards. You take ownership, deliver quality, and hold yourself accountable. You stay focused when things move fast. You prioritize what matters most and tune out the noise. You collaborate like a pro. You elevate others, communicate clearly, and bring a low-ego, high-output energy. You embrace AI as part of your toolkit. From idea exploration to data analysis and creative problem-solving, you leverage AI to accelerate innovation and amplify impact—because technology and creativity go hand-in-hand here. One More Thing (It’s a Big One) This role is in-office at least 4–5 days per week. We believe real collaboration, innovation, and culture are built face-to-face. If you’re energized by working alongside smart, kind, creative people—and love those hallway conversations that spark the next great idea—you’ll feel right at home. If you’re looking for a fully remote role, this may not be the right fit. But if you’re excited by challenge, purpose, and building something better—let’s make something amazing together. Relocation Statement: • This position is eligible for relocation assistance. What to Do Next: Please attach your resume, cover letter and/or include links to your portfolio or other social presence. If you want to show your super powers in other ways – include that information too. You can be sure that Cricut® is an employer who values individuality, equality and diversity, so tell us what you’re all about. If you are a Maker or a DIY enthusiast, whether you think you are a good one or not, we would love to hear about it when you send us your information. Cricut® is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. This position is contingent on successfully completing a Criminal Background Check upon hire. Cricut participates in E-Verify.

The Analytics Engineer combines data engineering and data analysis to provide dedicated analytics support for the Customer Care organization while reporting to the Corporate Business Intelligence team. This role manages the full lifecycle of Customer Care data—from sourcing, integrating, and transforming data across multiple support systems into reliable analytical datasets, to analyzing that data and delivering actionable insights that support operational and business decisions. Working closely with Customer Care leaders and the Business Intelligence team, this role builds and maintains the data foundations, reporting, dashboards, and analytical solutions needed to improve Contact Center performance and customer experience. The Analytics Engineer proactively identifies data and reporting needs, recommends analytical solutions, and drives continuous improvement through scalable, reliable, and actionable data. Key Responsibilities Data Engineering & Data Management Design, build, and maintain analytical tables and datasets used for reporting, dashboards, and forecasting. Ingest and transform raw data from contact center systems (e.g., ACD, CRM, ticketing, chat, email) into clean, structured datasets. Ensure data accuracy, consistency, and integrity across multiple source systems. Optimize table structures and queries for performance and scalability. Document data definitions, transformation logic, and assumptions to support transparency and reuse. Develop and apply AI models to analyze customer contact transcripts, surveys, and other feedback sources, identifying key trends, themes, and actionable insights that inform business and customer experience decisions. End-to-End Contact Center Data & Analytics Own the end-to-end analytics workflow for Contact Center data: source systems → ELT to Datalake -> dim/fact table -> transformed analytical tables → reports/dashboards → insights. Work with data from multiple Contact center platforms, including ACD, CRM, ticketing systems, chat, and other digital interaction tools. Translate reporting and analytics needs into scalable data models and analytical outputs. Ensure that insights are built on consistent, well-defined, and trusted data sources. Contact Center Performance Analysis & Insights Analyze Contact Center performance across key operational metrics, including service level, ASA, AHT, contact volume, abandonment, occupancy, shrinkage, and adherence. Develop and maintain recurring and ad-hoc reports and dashboards for operational teams and leadership. Identify trends, risks, and opportunities impacting efficiency and service performance. Perform root cause analysis to explain performance gaps and operational challenges. Measure the impact of operational initiatives using before-and-after analysis and ongoing performance tracking. Customer Behavior & Experience Analytics Analyze customer interaction data across channels to understand contact drivers, behavior patterns, and end-to-end journeys. Track and interpret customer experience metrics such as CSAT, NPS, FCR, repeat contacts, and transfers. Identify drivers of customer dissatisfaction, high contact volume, long handle times, and repeat contacts. Translate analytical findings into insights that support improvements in self-service, agent workflows, and process design. Build dashboards and analyses that connect customer behavior to operational and business outcomes. Forecasting & Volume Modeling Develop, maintain, and refine forecasting models to predict contact volume by channel and contact reason. Validate forecasts against actual results and identify drivers of variance. Continuously improve forecast accuracy using historical data and trend analysis. Continuous Improvement Identify opportunities to automate manual reporting and improve data workflows. Recommend enhancements to data architecture and analytical models to better support contact center analytics. Contribute to data governance, documentation standards, and analytics best practices. Bachelor’s degree in Data Science, Computer Science, Statistics, Information Systems, Business Analytics or equivalent experience. 3 – 5 years of experience in data analytics, analytics engineering, or a related role. Strong SQL skills, including creating and maintaining tables, views, and transformations. Experience working with data from contact center systems such as ACD, CRM, ticketing platforms, or chat tools (preferred). Solid understanding of contact center metrics and performance drivers. Experience with data visualization tools such as Domo, Tableau, Power BI, or similar. Strong analytical thinking, attention to detail, and problem-solving skills. Experience with ETL/ELT tools and data pipelines. Preferred Qualifications Experience with data warehousing concepts and basic dimensional modeling. Experience working with large datasets and multiple source systems. Exposure to cloud data platforms such as AWS, Snowflake, BigQuery. Strong problem-solving and analytical skills. Ability to translate complex data into clear, actionable insights. We’ve Got You Covered At Cricut, we take care of our people. Enjoy competitive Medical, Dental, and Vision coverage, a 401(k) match, generous PTO, tuition reimbursement, and a yearly lifestyle stipend to support your wellness and passions. You’ll also receive exclusive employee discounts—and best of all, you’ll be surrounded by some of the most talented, creative, and curious minds out there. A Quick Note Before You Apply… Cricut is in an exciting chapter of transformation. We’re evolving fast—refining our strategy, growing our teams, and raising the bar across everything we do. This is an incredible opportunity for the right kind of person—but it’s not for everyone. We’re looking for A-players—people who thrive in dynamic environments, turn challenges into momentum, and consistently deliver their best work. If that sounds like you, read on. Here’s what makes someone a great fit for this role (and for this moment at Cricut): You move with urgency. You don’t wait for perfect clarity to act—you start, learn, and adjust. You set high standards. You take ownership, deliver quality, and hold yourself accountable. You stay focused when things move fast. You prioritize what matters most and tune out the noise. You collaborate like a pro. You elevate others, communicate clearly, and bring a low-ego, high-output energy. You embrace AI as part of your toolkit. From idea exploration to data analysis and creative problem-solving, you leverage AI to accelerate innovation and amplify impact—because technology and creativity go hand-in-hand here. One More Thing (It’s a Big One) This role is in-office at least 4–5 days per week. We believe real collaboration, innovation, and culture are built face-to-face. If you’re energized by working alongside smart, kind, creative people—and love those hallway conversations that spark the next great idea—you’ll feel right at home. If you’re looking for a fully remote role, this may not be the right fit. But if you’re excited by challenge, purpose, and building something better—let’s make something amazing together. Relocation Statement: • This position is eligible for relocation assistance. What to Do Next: Please attach your resume, cover letter and/or include links to your portfolio or other social presence. If you want to show your super powers in other ways – include that information too. You can be sure that Cricut® is an employer who values individuality, equality and diversity, so tell us what you’re all about. If you are a Maker or a DIY enthusiast, whether you think you are a good one or not, we would love to hear about it when you send us your information. Cricut® is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. This position is contingent on successfully completing a Criminal Background Check upon hire. Cricut participates in E-Verify.

We're hiring a Senior Data Engineer to shape the data foundation behind Cricut's product analytics, personalization, and AI initiatives. You'll own and evolve our event data platform, from app instrumentation through streaming and batch ingestion to the warehouse. You'll also build the pipelines and feature infrastructure that feed our recommendation systems and machine learning models. This role sits where data engineering meets ML. You'll work closely with product engineering, data science, ML engineering, analytics, and experimentation teams. Together you'll make sure our data is reliable, well-modeled, and ready for both decision-making and production models. What You'll Do Design, build, and operate scalable batch and streaming pipelines on AWS using Airflow (MWAA), Glue, Kafka, S3, and Redshift Lead the evolution of our product event platform, including schema design, event taxonomy, versioning, and migrations to next-generation event architecture Build event data quality and observability: schema validation, instrumentation testing, anomaly detection, freshness and completeness monitoring, and lineage across pipelines Handle late-arriving and out-of-order data correctly, using lookback reprocessing and idempotent, incremental loads that keep business metrics accurate Build and maintain the data foundations for personalization and recommendation systems, including the interaction, content, and project datasets used for model training and inference Partner with ML engineers to build feature pipelines and a batch plus low-latency feature store (for example, Redshift or S3 to DynamoDB) for real-time serving Support ML workflows on AWS Batch and SageMaker, including training data generation, offline evaluation datasets, and delivery of model outputs to downstream APIs Instrument and model data for new AI-powered product experiences, including interaction, generation, and feedback events that close the loop on model improvement Develop well-designed fact and dimension models that power BI, ad-hoc exploration, and experimentation platforms Tune warehouse performance and cost through distribution and sort strategies, workload management, and efficient unload and serving patterns Set engineering standards for code review, testing, CI/CD, documentation, and on-call practices, and mentor other engineers 8+ years of experience in data engineering, including building and owning production pipelines at scale Strong SQL and Python skills; experience with PySpark or Spark is a plus Deep hands-on experience with AWS data services (S3, Glue, Redshift, DynamoDB, Lambda, IAM) Production experience with Apache Airflow, including DAG design, dependency management, templating, alerting, and backfills Experience with streaming and event ingestion (Kafka, Kinesis, SQS, or similar) and clickstream or product analytics data Strong data modeling skills (dimensional and event modeling) and a clear sense of how data design affects downstream metrics A track record of building data quality and observability frameworks, not just pipelines Experience supporting ML systems in production: feature engineering, training datasets, feature stores, or model-serving data flows Ability to lead cross-functional technical work, write clear design documents, and turn ambiguous business needs into sound architecture Clear communication with engineers, data scientists, and business partners alike Nice to Have Experience with recommendation systems or personalization data (interaction logs, embeddings, candidate generation, ranking features) Familiarity with SageMaker, AWS Batch, or MLOps tooling (model registries, experiment tracking, pipeline orchestration) Experience with analytics instrumentation tooling or tracking-plan governance Exposure to LLM or generative AI applications, such as vector stores, retrieval pipelines, or evaluation and feedback data Experience with A/B testing platforms and experiment metric pipelines Experience with data lake table formats (Iceberg, Delta, Hudi) or Redshift data sharing A passion for making, crafting, or creative tools Why You'll Love It Here Your work directly shapes how millions of makers discover, design, and create You'll help build the data backbone for Cricut's AI and personalization roadmap You'll have real ownership of platform architecture and a strong voice in technical direction You'll join a collaborative team that values craft, curiosity, and impact We’ve Got You Covered At Cricut, we take care of our people. Enjoy competitive Medical, Dental, and Vision coverage, a 401(k) match, generous PTO, tuition reimbursement, and a yearly lifestyle stipend to support your wellness and passions. You’ll also receive exclusive employee discounts—and best of all, you’ll be surrounded by some of the most talented, creative, and curious minds out there. A Quick Note Before You Apply… Cricut is in an exciting chapter of transformation. We’re evolving fast—refining our strategy, growing our teams, and raising the bar across everything we do. This is an incredible opportunity for the right kind of person—but it’s not for everyone. We’re looking for A-players—people who thrive in dynamic environments, turn challenges into momentum, and consistently deliver their best work. If that sounds like you, read on. Here’s what makes someone a great fit for this role (and for this moment at Cricut): You move with urgency. You don’t wait for perfect clarity to act—you start, learn, and adjust. You set high standards. You take ownership, deliver quality, and hold yourself accountable. You stay focused when things move fast. You prioritize what matters most and tune out the noise. You collaborate like a pro. You elevate others, communicate clearly, and bring a low-ego, high-output energy. You embrace AI as part of your toolkit. From idea exploration to data analysis and creative problem-solving, you leverage AI to accelerate innovation and amplify impact—because technology and creativity go hand-in-hand here. One More Thing (It’s a Big One) This role is in-office at least 4–5 days per week. We believe real collaboration, innovation, and culture are built face-to-face. If you’re energized by working alongside smart, kind, creative people—and love those hallway conversations that spark the next great idea—you’ll feel right at home. If you’re looking for a fully remote role, this may not be the right fit. But if you’re excited by challenge, purpose, and building something better—let’s make something amazing together. Relocation Statement: • This position is eligible for relocation assistance. What to Do Next: Please attach your resume, cover letter and/or include links to your portfolio or other social presence. If you want to show your super powers in other ways – include that information too. You can be sure that Cricut® is an employer who values individuality, equality and diversity, so tell us what you’re all about. If you are a Maker or a DIY enthusiast, whether you think you are a good one or not, we would love to hear about it when you send us your information. Cricut® is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. This position is contingent on successfully completing a Criminal Background Check upon hire. Cricut participates in E-Verify.

Cricut is seeking a highly motivated and experienced Software QA Engineer to help deliver high-quality experiences across Web, Mobile, Desktop, API, Hardware, and AI-powered products. This role is responsible for validating software functionality, system integrations, connected device experiences, and generative AI features to ensure exceptional customer experiences. You will collaborate closely with Product, Engineering, Design, Data Science, and Program teams to identify risks early, validate customer workflows, and ensure high-quality releases across multiple platforms. The ideal candidate combines strong technical testing skills, excellent communication, customer empathy, and a passion for quality throughout the product lifecycle. Core QA Responsibilities Design, develop, execute, and maintain comprehensive test plans and test cases. Validate user stories, features, APIs, integrations, and end-to-end workflows. Perform functional, regression, exploratory, integration, and system testing. Analyze application logs, API traffic, and backend systems to troubleshoot issues. Participate in sprint planning, grooming, reviews, and release readiness activities. Identify, document, prioritize, and verify defects through resolution. Represent QA concerns and quality risks in cross-functional meetings. Provide actionable customer-centric feedback to improve product experiences. Connected Device & Hardware Testing Validate software interactions with connected devices and hardware products. Test onboarding, connectivity, firmware updates, ownership management, and user workflows. Verify system behavior across various network and environmental conditions. Participate in qualification efforts for new consumer electronics products. Knockout Criteria 3-5 years of Software QA experience Bachelor's degree in Engineering, Computer Science, or equivalent experience. Must be living in or willing to relocate to Salt Lake City, Utah. Strong understanding of software testing fundamentals and SDLC. Required Qualifications Experience testing web, mobile, desktop, and API-based applications. Strong expertise in test planning, test case development, and execution. Experience validating REST APIs and web services. Hands-on experience troubleshooting client-server communications. Experience using browser debugging tools and log analysis techniques. Strong understanding of QA methodologies, testing strategies, and best practices. Experience participating in Agile software development processes. Strong written and verbal communication skills. Ability to work effectively in a fast-paced and rapidly changing environment. AI-Specific Qualifications Experience testing AI, machine learning, recommendation, search, or generative AI features. Understanding of prompt engineering concepts and AI validation techniques. Experience evaluating AI-generated output quality and consistency. Familiarity with testing conversational interfaces, copilots, or AI-assisted workflows. Ability to identify AI quality risks including hallucinations, bias, reliability, and safety issues. Experience using data-driven approaches to measure AI product quality. Preferred Qualifications Experience testing software integrated with hardware devices. Background in testing and qualifying consumer electronics products. Experience with cloud-based services and microservice architectures. Experience with test automation frameworks. Experience working with telemetry, analytics, and monitoring tools. Experience with large-scale end-to-end system testing. We’ve Got You Covered At Cricut, we take care of our people. Enjoy competitive Medical, Dental, and Vision coverage, a 401(k) match, generous PTO, tuition reimbursement, and a yearly lifestyle stipend to support your wellness and passions. You’ll also receive exclusive employee discounts—and best of all, you’ll be surrounded by some of the most talented, creative, and curious minds out there. A Quick Note Before You Apply… Cricut is in an exciting chapter of transformation. We’re evolving fast—refining our strategy, growing our teams, and raising the bar across everything we do. This is an incredible opportunity for the right kind of person—but it’s not for everyone. We’re looking for A-players—people who thrive in dynamic environments, turn challenges into momentum, and consistently deliver their best work. If that sounds like you, read on. Here’s what makes someone a great fit for this role (and for this moment at Cricut): You move with urgency. You don’t wait for perfect clarity to act—you start, learn, and adjust. You set high standards. You take ownership, deliver quality, and hold yourself accountable. You stay focused when things move fast. You prioritize what matters most and tune out the noise. You collaborate like a pro. You elevate others, communicate clearly, and bring a low-ego, high-output energy. You embrace AI as part of your toolkit. From idea exploration to data analysis and creative problem-solving, you leverage AI to accelerate innovation and amplify impact—because technology and creativity go hand-in-hand here. One More Thing (It’s a Big One) This role is in-office at least 4–5 days per week. We believe real collaboration, innovation, and culture are built face-to-face. If you’re energized by working alongside smart, kind, creative people—and love those hallway conversations that spark the next great idea—you’ll feel right at home. If you’re looking for a fully remote role, this may not be the right fit. But if you’re excited by challenge, purpose, and building something better—let’s make something amazing together. Relocation Statement: • This position is eligible for relocation assistance. What to Do Next: Please attach your resume, cover letter and/or include links to your portfolio or other social presence. If you want to show your super powers in other ways – include that information too. You can be sure that Cricut® is an employer who values individuality, equality and diversity, so tell us what you’re all about. If you are a Maker or a DIY enthusiast, whether you think you are a good one or not, we would love to hear about it when you send us your information. Cricut® is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. This position is contingent on successfully completing a Criminal Background Check upon hire. Cricut participates in E-Verify.