Product Engineer, Mobile & UX

📍 Job Overview

Job Title: Product Engineer, Mobile & UX

Company: Pontosense

Location: Toronto or Waterloo, Ontario, Canada (Hybrid)

Job Type: Full-Time

Category: Product Engineering / Mobile Development / UX/UI Design

Date Posted: November 5, 2026

Experience Level: 3-5 years

Remote Status: Hybrid

🚀 Role Summary

• Design, develop, and enhance robust iOS and Android applications utilizing React Native and TypeScript.

• Collaborate closely with product management to translate sophisticated technology concepts into intuitive, user-friendly mobile experiences.

• Contribute significantly to UX/UI design decisions, focusing on interaction design, usability, and visual polish.

• Leverage AI tools (ChatGPT, Codex, Claude Code, Cursor) as integral components of the development workflow to accelerate innovation and improve efficiency.

• Integrate hardware (radar sensing) and software components to create seamless connected-device experiences for consumers.

📝 Enhancement Note: This role is a hybrid of traditional mobile development and product design, with a strong emphasis on user experience and the integration of AI-powered tools. The "Product Engineer" title suggests a broader scope than a standard Mobile Developer, encompassing contributions to product strategy and user-centric design. The emphasis on AI tools indicates a forward-thinking development environment.

📈 Primary Responsibilities

• Build, iterate on, and maintain high-quality iOS and Android applications using React Native and TypeScript, ensuring performance and scalability.

• Translate product requirements and user stories into functional, engaging, and accessible mobile features, working closely with the Senior Product Manager.

• Actively participate in UX and UI design sessions, providing technical feasibility insights and contributing to interaction flows, visual aesthetics, and usability enhancements.

• Develop and implement rapid prototypes to test new product ideas and user flows, iterating quickly based on feedback and data.

• Integrate and optimize the use of AI tools throughout the software development lifecycle, from code generation and debugging to feature development and performance analysis.

• Implement and monitor app performance, reliability, and user experience metrics, identifying and resolving issues to ensure a seamless and trustworthy product.

• Collaborate with cross-functional teams, including hardware engineers and AI specialists, to ensure cohesive product development and integration of sensing technology.

📝 Enhancement Note: The responsibilities highlight a blend of hands-on coding, product collaboration, and UX/UI contribution. The explicit mention of AI tools implies a requirement for proactive exploration and integration of these technologies into daily workflows. The focus on "building something that matters" and "real-world consequences" suggests a role with significant impact and responsibility.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a strong understanding of computer science principles, software engineering best practices, and user-centered design is expected.

Experience: Approximately 3 to 5 years of professional software development experience, with a proven track record of shipping production-ready React Native applications to the App Store and Google Play.

Required Skills:

• React Native & TypeScript Proficiency: Demonstrated experience in building and deploying complex mobile applications using React Native and TypeScript in a production environment.

• Mobile Development Fundamentals: Solid understanding of native mobile development concepts for iOS and Android, including navigation patterns, state management solutions (e.g., Redux, Zustand), and effective API integration strategies.

• UX/UI Design Acumen: A keen eye for design, with the ability to create polished, responsive, and accessible user interfaces. Experience working from Figma designs and contributing creatively to product look, feel, and functionality.

• AI Tool Integration: Proven ability and enthusiasm for using AI tools (e.g., ChatGPT, Codex, Claude Code, Cursor) to enhance development speed, quality, and innovation.

• Problem-Solving: Strong analytical and problem-solving skills to address complex technical challenges and user experience issues.

Preferred Skills:

• Device Connectivity: Experience with Bluetooth Low Energy (BLE), IoT device onboarding, and complex pairing flows.

• Native Module Development: Familiarity with native iOS (Swift) or Android (Kotlin) module integration to bridge React Native with native functionalities.

• Cross-Platform Frameworks: Experience with Flutter as a secondary cross-platform framework.

• Quality & Delivery Automation: Proficiency in setting up and managing automated testing frameworks, CI/CD pipelines, and utilizing crash and performance monitoring tools.

• Design Systems & Figma: Experience with Figma for design collaboration and familiarity with building or working within design systems.

• AI Feature Development: Experience building AI-powered features directly into consumer applications.

• Domain Experience: Background in HealthTech, eldercare technology, smart-home devices, or other consumer-facing product development.

📝 Enhancement Note: The emphasis on production experience with React Native and TypeScript, coupled with a strong UX/UI sensibility, is critical. The requirement to actively use AI tools suggests candidates should be prepared to discuss their experiences and approaches with these technologies. Preferred skills indicate areas where additional expertise would be highly beneficial, particularly in device connectivity and native development.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Shipped Applications: Demonstrable examples of live iOS and Android applications developed using React Native, available on the App Store or Google Play.

• Feature Development Case Studies: Detailed descriptions or presentations of specific features or complex functionalities you personally built, highlighting your role and technical contributions.

• UX/UI Contributions: Visual evidence or descriptions of your involvement in UX/UI design decisions, including wireframes, mockups, or explanations of how you translated designs into functional interfaces.

• AI Tool Integration Examples: Specific projects or code snippets showcasing how you've leveraged AI tools (e.g., code generation, debugging assistance, feature ideation) to improve development outcomes.

Process Documentation:

• Workflow Design: Ability to document and articulate the process of turning product ideas into implemented features, including stages from ideation to testing and deployment.

• Development Methodology: Clear understanding and articulation of your preferred development methodologies, with an emphasis on agile principles, iterative development, and continuous improvement.

• Performance Analysis & Optimization: Examples of how you have monitored, analyzed, and optimized application performance and user experience in previous roles.

📝 Enhancement Note: The application explicitly requests proof of work beyond a resume. Candidates should prepare a portfolio that clearly showcases their React Native development skills, UI/UX contributions, and, crucially, their practical application of AI tools in software development. This section is vital for demonstrating tangible impact and technical capability.

💵 Compensation & Benefits

Salary Range: The typical salary range for a Product Engineer with 3-5 years of experience in Toronto/Waterloo, Canada, specializing in React Native and UX/UI, is approximately CAD $80,000 - $110,000 annually. This can vary based on the candidate's specific skillset, interview performance, and the final scope of responsibilities.

Benefits:

• Health, Dental, and Vision Benefits: Comprehensive coverage to support employee well-being.

• Equity Opportunity: Potential to receive company equity, allowing employees to share in the growth and success of Pontosense.

• Product Experience: Provision of a Silvie sensor for personal use, enabling a firsthand understanding of the product's value proposition.

• Professional Development: Opportunities to work with cutting-edge AI tools and modern development workflows.

• Work-Life Balance: Encouragement of rest as part of the job, implying a supportive work environment.

Working Hours: The standard working hours are approximately 40 hours per week, with a hybrid work arrangement that balances in-office collaboration with remote flexibility.

📝 Enhancement Note: Salary is estimated based on industry benchmarks for similar roles in the Toronto/Waterloo tech hub, considering the specified experience level and the hybrid work model. The inclusion of equity and specific benefits like the product sensor highlights the company's commitment to employee well-being and engagement.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology / HealthTech / AI / IoT / Consumer Electronics. Pontosense operates at the intersection of these fields, developing innovative radar sensing technology for eldercare safety and well-being.

Company Size: Small to Medium-sized (likely <100 employees, given the emphasis on direct access to leadership and "more room to make a difference than at a company ten times our size"). This size suggests a dynamic, agile environment where individual contributions have significant visibility.

Founded: The founding date is not provided, but the company's established international presence (deployed in 24 countries) indicates a mature product and market traction.

Team Structure:

• Reporting: The role reports directly to the COO, indicating a high level of visibility and direct interaction with senior leadership.

• Collaboration: Close collaboration with a Senior Product Manager and the broader engineering team is expected. The company culture emphasizes strong collaboration, fast learning, and a hands-on, experimental approach.

• Specialization: The team likely comprises specialists in mobile development, AI, radar sensing hardware, and product management, working cohesively to deliver a unified consumer experience.

Methodology:

• Iterative Development: The "Build it right, then make it better" mantra suggests an iterative approach, prioritizing quality and then refining based on feedback and data.

• AI-First Mindset: AI tools are not just supplementary but are integral to the development process, driving efficiency and innovation.

• User-Centricity: A strong focus on solving real user problems and creating experiences that feel like "relief" rather than "fear."

Company Website: https://pontosense.com/ (This is inferred from the company name and typical industry practices; the provided URL is for the careers portal.)

📝 Enhancement Note: The company culture appears to be fast-paced, innovative, and highly collaborative, with a strong emphasis on user impact and the integration of emerging technologies like AI. The direct reporting line to the COO suggests an environment where ambitious individuals can have significant influence.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a mid-level Product Engineer, requiring 3-5 years of experience. It offers a blend of individual contribution in mobile development and product design, with opportunities to influence product direction.

Reporting Structure: Direct reporting to the COO provides a unique advantage, offering exposure to strategic decision-making and cross-functional leadership.

Operations Impact: The role has a direct impact on the user experience of a product designed for safety and well-being, influencing customer satisfaction, adoption rates, and the company's reputation in the HealthTech and IoT markets. Contributions to UX/UI and feature development directly affect how families perceive and rely on the Pontosense technology.

Growth Opportunities:

• Technical Specialization: Deepen expertise in React Native, mobile architecture, and potentially native iOS/Android development or advanced AI integration.

• Product Influence: Grow into a more senior product role, taking ownership of feature roadmaps and influencing product strategy through technical and user experience insights.

• Leadership Potential: With direct exposure to the COO and leadership team, there is potential for growth into team lead or management roles within the engineering department, particularly as the company scales.

• AI Expertise: Become a go-to expert within the company for leveraging AI tools in software development, a highly valuable and evolving skill set.

📝 Enhancement Note: The growth trajectory is promising due to the company's focus on cutting-edge technology and its relatively small size, offering significant influence. The direct reporting line is a key differentiator, providing accelerated learning and career development opportunities.

🌐 Work Environment

Office Type: Hybrid work model, with employees expected to work from either the Toronto or Waterloo office. This suggests a modern office environment designed for collaboration and focused work.

Office Location(s): Toronto and Waterloo, Ontario, Canada. These are major tech hubs offering access to talent and a vibrant ecosystem.

Workspace Context:

• Collaborative Spaces: Offices likely feature collaborative work areas, meeting rooms, and potentially quiet zones to accommodate different working styles.

• Technology Access: Employees will have access to modern development tools and technologies, including AI platforms and robust cloud infrastructure.

• Cross-Functional Interaction: The hybrid model and emphasis on collaboration encourage frequent interaction with product managers, designers, and other engineers, fostering a dynamic team environment.

Work Schedule: The role is full-time, with approximately 40 working hours per week. The hybrid arrangement allows for flexibility, balancing structured work with personal needs, which is beneficial for focused coding and design tasks.

📝 Enhancement Note: The hybrid model in a tech hub like Toronto/Waterloo indicates a modern, flexible work environment. The emphasis on collaboration suggests that in-office days will be highly productive for team synergy and problem-solving.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Application Review: Focus on the provided resume and, critically, the supplementary materials (app links, GitHub, demos, personal notes on contributions and AI usage).

• Technical Screening: Likely involves discussions about React Native, TypeScript, mobile development fundamentals, and UX/UI principles. Expect questions on state management, API integration, and responsive design.

• Portfolio Deep Dive: A dedicated session to walk through your submitted projects. Be prepared to explain your specific contributions, technical challenges overcome, and how you leveraged AI tools.

• Product & UX Discussion: Conversations around turning complex technology into simple user experiences, understanding user needs (families vs. older adults), and your approach to UX/UI design within technical constraints.

• AI Tooling Interview: Specific questions about your experience with AI development tools, your insights into their impact, and your vision for their future use in software engineering.

• Behavioral & Cultural Fit: Assess curiosity, proactivity, constructive challenge, and a genuine care for solving user problems. Discussions about how you "work" and collaborate.

• Final Round: Potentially with senior leadership (including the COO) to discuss strategic alignment and overall fit.

Portfolio Review Tips:

• Curate Thoughtfully: Select 1-2 strong examples that best represent your React Native skills, UX/UI contributions, and AI integration.

• Quantify Impact: Where possible, provide metrics on user engagement, performance improvements, or development speed gains attributed to your work or AI tool usage.

• Highlight Your Role: Clearly articulate "what you personally built" in each project, distinguishing your contributions from team efforts.

• Showcase AI Integration: Dedicate specific points in your project descriptions or notes to explain how you used AI tools (e.g., "Used Cursor to refactor API integration logic, reducing development time by X%" or "Leveraged ChatGPT for initial UI component brainstorming and code scaffolding").

• Storytelling: Frame your project descriptions as mini case studies: problem, your solution, technical approach (including AI), and outcome.

Challenge Preparation:

• Technical Challenge: Expect a coding challenge, likely involving React Native, focusing on building a UI component, implementing a specific feature, or solving a common mobile development problem.

• Problem-Solving Scenario: Be prepared for a hypothetical scenario where you need to design a feature, improve an existing one, or troubleshoot a user experience issue, incorporating AI solutions.

• AI Tool Exploration: Research recent advancements and practical applications of AI in mobile development. Be ready to discuss your opinions and future predictions.

📝 Enhancement Note: The application process heavily emphasizes a practical demonstration of skills through a portfolio. Candidates must be prepared to articulate their contributions, especially regarding AI tool usage, with concrete examples. This is a critical differentiator.

🛠 Tools & Technology Stack

Primary Tools:

• React Native: The core framework for cross-platform mobile development.

• TypeScript: Essential for type safety and enhanced code quality in JavaScript development.

• AI Development Tools: ChatGPT, Codex, Claude Code, Cursor (and potentially others) for code generation, debugging, refactoring, and ideation.

• Figma: For UI/UX design collaboration, prototyping, and working with design systems.

Analytics & Reporting:

• Performance Monitoring Tools: Crashlytics, Sentry, or similar for tracking application stability and performance issues.

• Analytics Platforms: Potentially Amplitude, Mixpanel, or Google Analytics for user behavior tracking and feature usage analysis.

CRM & Automation:

• While not explicitly mentioned, standard development tools like Git (for version control) and project management software (e.g., Jira, Asana) are expected.

• CI/CD Tools: Jenkins, GitHub Actions, GitLab CI, or similar for automated testing and deployment pipelines (preferred skill).

📝 Enhancement Note: The tech stack is modern and focused on cross-platform development with a strong emphasis on AI integration. Proficiency in React Native, TypeScript, and Figma is a must, while familiarity with AI tools is becoming a core requirement.

👥 Team Culture & Values

Operations Values:

• Curiosity & Experimentation: A culture that encourages exploring new technologies and approaches, particularly with AI tools, and isn't afraid to try new things.

• Hands-On & Proactive: Valuing individuals who are eager to build, take initiative, and drive projects forward.

• User-Centricity: A deep commitment to solving real user problems and creating products that offer genuine relief and peace of mind.

• Collaboration & Learning: Strong emphasis on working together, sharing knowledge, and continuously learning from each other and from user feedback.

• Impact & Ownership: Providing opportunities for individuals to make a tangible difference and feel ownership over their contributions.

Collaboration Style:

• Agile & Iterative: Working in sprints, with regular feedback loops and continuous improvement cycles.

• Direct Communication: The "no layers" approach implies open and direct communication channels, especially with leadership.

• Cross-Functional Synergy: Close working relationships between engineering, product, and design to ensure a cohesive and user-friendly product.

• AI-Augmented Teamwork: Expectation that AI tools will enhance collaboration by streamlining information sharing, code reviews, and problem-solving.

📝 Enhancement Note: The team culture is geared towards innovation, rapid execution, and a user-first approach, amplified by the integration of AI. The emphasis on direct access to leadership suggests a flat hierarchy and a culture where contributions are highly valued and visible.

⚡ Challenges & Growth Opportunities

Challenges:

• Balancing Innovation with Reliability: Integrating cutting-edge AI and radar technology into a consumer product that demands high reliability and trust, especially in safety-critical applications.

• Bridging Hardware and Software Gaps: Ensuring seamless integration and communication between the radar sensing hardware and the mobile application experience.

• User Experience for Diverse Audiences: Designing an intuitive and accessible interface that serves both families seeking reassurance and older adults prioritizing independence and privacy.

• Rapidly Evolving AI Landscape: Staying current with the fast-paced advancements in AI tools and methodologies and effectively integrating them into a production environment.

Learning & Development Opportunities:

• AI Tool Mastery: Becoming an expert in leveraging advanced AI tools for software development, a highly sought-after skill.

• Product Development Lifecycle: Gaining in-depth experience across the entire product development lifecycle, from ideation and design to deployment and iteration in a consumer-facing product.

• Cross-Functional Exposure: Working closely with hardware, AI, and product teams provides broad exposure to different facets of technology development.

• Leadership Mentorship: Direct interaction with the COO offers unique mentorship opportunities for career growth and strategic thinking.

📝 Enhancement Note: The role presents significant challenges related to integrating complex technologies and ensuring a user-friendly experience. However, these challenges are directly linked to substantial growth opportunities in AI, product development, and leadership within a growing tech company.

💡 Interview Preparation

Strategy Questions:

• AI Integration: "How has AI changed your approach to software development? Describe a specific instance where using an AI tool significantly improved your workflow or a project outcome. What were the limitations?"

  • Preparation: Be ready to discuss specific AI tools you've used (ChatGPT, Codex, Cursor, etc.), your favorite features, and any challenges you encountered. Prepare a concise story about a time AI saved you time or improved code quality.

• Product Vision & UX: "How would you approach turning complex radar sensing data into a simple, reassuring experience for families? What are the key UX considerations for older adults versus their caregivers?"

  • Preparation: Think about user-centered design principles. Consider how to visualize data without being overwhelming, use clear language, and prioritize privacy. Research Pontosense's mission and existing product to tailor your response.

• Technical Problem Solving: "Describe a challenging React Native bug you encountered and how you debugged it. If you were to implement a feature for [mention a hypothetical feature relevant to the product], how would you approach it technically, considering performance and cross-platform compatibility?"

  • Preparation: Have 1-2 technical challenges ready to discuss, focusing on your debugging process and problem-solving methodology. Be prepared to discuss architecture choices, state management, and API design. Company & Culture Questions:

• Motivation: "Why are you interested in Pontosense and this specific role? What excites you about our mission?"

  • Preparation: Research Pontosense's technology, market position, and mission. Connect your personal values and career goals to what the company offers.

• Collaboration: "How do you prefer to collaborate with product managers and designers? Describe a time you constructively challenged an idea."

  • Preparation: Emphasize your ability to work effectively in a team, provide constructive feedback, and value diverse perspectives. Portfolio Presentation Strategy:

• Concise & Focused: Aim for 5-10 minutes per project. Highlight your specific role, the problem you solved, the technical solution (mentioning AI tools used), and the outcome.

• Visuals are Key: Use screenshots, demos, or live app links effectively. For UI/UX contributions, show before-and-after, or wireframes leading to the final product.

• Quantify When Possible: Use metrics to demonstrate impact (e.g., performance improvements, user satisfaction increases).

• Explain AI Value: Clearly articulate how AI tools contributed to the project's success, whether it was speed, quality, or enabling a new feature. Don't just list the tools; explain their application.

📝 Enhancement Note: The interview process is designed to assess not only technical skills but also a candidate's ability to integrate AI, contribute to product vision, and align with Pontosense's user-centric and innovative culture. A well-prepared portfolio and thoughtful responses regarding AI usage are paramount.

📌 Application Steps

To apply for this Product Engineer position:

• Submit Your Resume: Ensure it highlights your experience with React Native, TypeScript, mobile development, and any relevant UX/UI contributions.

• Curate Your Portfolio: Gather links to 1-2 apps, features, or projects you are proud of. This can include App Store/Play Store links, GitHub repositories, or live demos.

• Write Your Short Notes: For each portfolio item, clearly state what you personally built.

• Address the AI Question: Prepare a concise written response (a few lines) detailing how AI has changed your software building process, what has worked well, and what hasn't.

• Apply via the provided link: https://pontosense.bamboohr.com/careers/163

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.