Product Manager - Computer Vision & Data Products (Canada, Remote)

Events in recent years have made us all too familiar with the havoc that natural disasters can wreak, and the increasing frequency and intensity with which they are occurring. Despite record levels of losses, conventional methods of identifying and managing risk continue to provide an incomplete solution to these threats.

ZestyAI uses novel data gathering and machine learning approaches to produce higher quality information about the risks to property from catastrophes like severe convective storms and wildfires. While AI alone may not be able to thwart these disasters, it can help communities around the world become more prepared for them, and ultimately that will lead to better outcomes for business and society.

As a Product Manager - Computer Vision and Data Products, you are an analytical thinker and passionate about working with complex data. You are a pacesetter who wants to deliver innovative products; you are organized, self-directed, committed to innovation, and possess outstanding EQ and communication skills. You will be crucial in operating the ZestyAI platform and delivering property characteristics and risk information to our clients. You thrive in a collaborative and creative environment that moves fast and are comfortable learning new skills, leveraging the latest AI tools, and working with unfamiliar technologies.

The Opportunity:

• Own the product and feature development lifecycle from inception to launch in the field of machine learning, large language models, and computer vision
• Build the analytics and model development roadmap of data and risk solutions by researching and analyzing various sources of information
• Discover and translate data into tractable data science questions and engineering specifications to guide strategic decision making
• Work closely with data scientists and software engineers as a key member of the product development team
• Act as the model owner and subject matter expert when interfacing with Regulators and Customers
• Iterate rapidly on everything; all of the above happens in a fast-paced business-driven environment that you must be comfortable with
• Work with our customers to understand complex workflows and pain points and find solutions to the problems

What You Bring to the ZestyAI Team:

• 3-6 years of work experience in analytics, data science, financial modeling, risk modeling, climate modeling or other relevant field

○  Including 1-2 years of Product Management experience, working with data products or model-based features such as actuarial risk model, climate risk model, credit risk model, search model, etc.

• Bachelor's or Master's in a quantitative field such as Engineering, Sciences, Commerce
• Outstanding communication skills, well-versed in building executive-style presentations
• Ability to manage multiple/competing priorities and deliver on time
• Comfortable leveraging AI tools to automate and accelerate everyday work (i.e. Claude Cowork)
• Proficient in SQL, Excel, Python
• Must be legally eligible to work in Canada

Nice to Have:

• Exposure to insurance, real estate, and risk modeling
• Experience working with computer vision models

Why ZestyAI:

• Be a part of a well-funded growth-stage start-up
• Work with a high-performance product team and cutting-edge development team
• Market competitive comp and equity incentives to give you a stake in our future
• Remote-first policy
• Flexible Time Off
• Comprehensive benefits package
• Home office setup stipend
• Annual Learning and Development allowance
• An upbeat and collaborative work culture
• Company-sponsored outings and offsites

 Software Engineering Intern- Test Automation

Company: Digs

Location: Hybrid (HQ: Vancouver, WA)

Job Type: Internship 

Duration: 12 weeks 

About Digs

Digs is building the future of collaboration between builders and homeowners. Our platform uses artificial intelligence to organize, surface, and share the information that matters most during a home build—making the entire experience more transparent, connected, and intuitive.

We’re a team of experienced entrepreneurs, operators, and builders who care deeply about craft. We move fast, think long-term, and hold a high bar for what we build. If you’re curious, motivated, and excited about creating meaningful technology from the ground up, you’ll fit right in.

At Digs, you won't be working on throwaway sandbox projects. We expect you to hit the ground running and ship real production code from day one. This is a greenfield opportunity: we have a solid foundation in place but no dedicated QA team, so you'll have real autonomy to shape how testing works at Digs. Your primary focus will be on test automation, but you'll also contribute across the full stack.

Want to know what drives us? Explore our Digs Principles.  

What You'll Do

• Write and maintain end-to-end tests using Playwright, covering critical user workflows across desktop and mobile.

• Expand test coverage into untested areas — new features, edge cases, error scenarios, and multi-user workflows.

• Build and maintain Page Object Models, test fixtures, and reusable test utilities that make it easy for the rest of the team to write reliable tests.

• Monitor and reduce test flakiness, improving the signal-to-noise ratio in our CI pipeline.

• Improve test data management — building factories, seeders, and isolation patterns that keep tests fast and reliable.

• Adopt and help shape our agentic coding practices — our team embraces tools like Cursor, Copilot, and Claude Code to accelerate development.

You Might Also Get To Work On

• Researching, evaluating, and integrating emerging AI-powered testing tools and frameworks.

• Designing and implementing visual regression testing to catch unintended UI changes before they ship.

• Optimizing our CI/CD test pipeline — improving parallelization, execution time, and failure reporting.

• Contributing to frontend and backend feature work, bringing a testing mindset to every feature you touch.

Who You Are

• You recently completed a degree in Computer Science, Machine Learning, Data Science, or a related field (or have equivalent practical experience) and are looking for a runway to transition into a full-time role.

• You are passionate about software quality and find satisfaction in catching bugs before users do.

• You have coursework or project experience writing automated tests of any kind — unit, integration, or end-to-end.

• You think critically about how software can break, not just how it should work, and naturally consider edge cases, race conditions, and failure modes.

• You are a self-starter who is comfortable charting your own path — this role won't have a QA manager handing your test plans, so you'll need to identify what to test and how.

• You are a highly collaborative, self-motivated communicator who thrives in ambiguity, takes ownership of your work without waiting for instructions, and isn't afraid to say "I don't know yet" while moving fast.

• You are comfortable participating in virtual meetings and in-person collaboration at our Vancouver, WA HQ

Bonus Qualities You Might Have

• Experience with Playwright, Cypress, Selenium, or other end-to-end testing frameworks.

• Experience with React, TypeScript, or Node.js in a project or coursework setting.

• Interest in or exposure to AI-powered testing tools and agentic test automation.

• Startup experience: proven ability to move fast on a small engineering team.

• Experience or interest in the home building, home remodeling, construction, or real estate industries.

The Details:

This internship position is set to begin in April 2026 and will last 12 weeks, with a commitment of approximately 30 hours per week. The compensation ranges from $20 to $25 per hour, depending on experience. The internship will be hybrid, with in-person and remote components, conducted at our Vancouver, WA headquarters and via platforms such as Google Meet and Zoom. We will provide all necessary equipment, including a laptop, to ensure you have everything needed to succeed in this role. 

How to Apply:

If this role excites you and you feel aligned with our Principles, please submit your application via LinkedIn or the Digs Careers Page. 

Note: This internship position may lead to future employment opportunities, subject to performance and business needs.

Digs is committed to fostering an inclusive and diverse workplace where everyone feels valued and respected. We encourage candidates from all backgrounds to apply. 

Applicants must be authorized to work in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time. 

 Software Engineering Intern- Full Stack / Product

Company: Digs

Location: Hybrid (HQ: Vancouver, WA)

Job Type: Internship (Spring 2026)

Duration: 12 weeks 

About Digs

Digs is building the future of collaboration between builders and homeowners. Our platform uses artificial intelligence to organize, surface, and share the information that matters most during a home build—making the entire experience more transparent, connected, and intuitive.

We’re a team of experienced entrepreneurs, operators, and builders who care deeply about craft. We move fast, think long-term, and hold a high bar for what we build. If you’re curious, motivated, and excited about creating meaningful technology from the ground up, you’ll fit right in.

At Digs, you won't be working on throwaway sandbox projects. We expect you to hit the ground running and ship real production code from day one. You will act as a core member of the engineering team, building features end-to-end across our React/Next.js frontend and TypeScript backend while gaining exposure to our emerging AI/ML infrastructure.

Want to know what drives us? Explore our Digs Principles.  

What You'll Do

• Build, test, and ship type-safe REST APIs and React/Next.js frontend features across the full stack.

• Migrate legacy GraphQL queries to modern patterns and implement event-driven workflows using Restate.

• Collaborate closely with Product, Design, and Engineering to translate designs into polished, production-ready features.

• Adopt and help shape our agentic coding practices — our team embraces tools like Cursor, Copilot, and Claude Code to accelerate development.

• Integrate Digs with third-party software platforms in the construction ecosystem, building the connective tissue between our product and the tools our customers already use.

You Might Also 

• Build interactive canvas and document viewing experiences using Fabric.js, including annotation tools and measurement overlays.

• Improve parallelization, execution time, and failure reporting across our CI/CD pipeline.

• Work on real-time multi-user collaboration features.

Who You Are

• You recently completed a degree in Computer Science or a related field (or have equivalent practical experience) and are looking for a runway to transition into a full-time role.

• You are proficient in TypeScript/Node.js, with practical experience in modern React frameworks like Next.js.

• You can design REST APIs, write raw SQL, manage database schemas, and collaborate using standard Git workflows.

• You are comfortable working in a codebase you didn't write, reading existing code to understand patterns before contributing, and can conform to a team's style and best practices.

• You are a highly collaborative, self-motivated communicator who thrives in ambiguity, takes ownership of your work without waiting for instructions, and isn't afraid to say "I don't know yet" while moving fast.

• You are comfortable participating in virtual meetings and in-person collaboration at our Vancouver, WA HQ

Bonus Qualities You Might Have

• Startup experience: proven ability to move fast on a small engineering team.

• Infrastructure chops: AWS, Docker, and CI/CD pipelines.

• Experience with component-driven UI and UI primitive libraries like Radix, design systems or canvas-based rendering (Fabric.js).

• Familiarity with GraphQL, event-driven architectures, or workflow orchestration.

• Experience or interest in the home building, home remodeling, construction, or real estate industries.

The Details:

This internship position is set to begin in April 2026 and will last 12 weeks, with a commitment of approximately 30 hours per week. The compensation ranges from $20 to $25 per hour, depending on experience. The internship will be hybrid, with in-person and remote components, conducted at our Vancouver, WA headquarters and via platforms such as Google Meet and Zoom. We will provide all necessary equipment, including a laptop, to ensure you have everything needed to succeed in this role. 

How to Apply:

If this role excites you and you feel aligned with our Principles, please submit your application via LinkedIn or the Digs Careers Page. 

Note: This internship position may lead to future employment opportunities, subject to performance and business needs.

Digs is committed to fostering an inclusive and diverse workplace where everyone feels valued and respected. We encourage candidates from all backgrounds to apply. 

Applicants must be authorized to work in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time. 

 Software Engineering Intern- AI/ML Backend

Company: Digs

Location: Hybrid (HQ: Vancouver, WA)

Job Type: Internship (Spring 2026)

Duration: 12 weeks 

About Digs

Digs is building the future of collaboration between builders and homeowners. Our platform uses artificial intelligence to organize, surface, and share the information that matters most during a home build—making the entire experience more transparent, connected, and intuitive.

We’re a team of experienced entrepreneurs, operators, and builders who care deeply about craft. We move fast, think long-term, and hold a high bar for what we build. If you’re curious, motivated, and excited about creating meaningful technology from the ground up, you’ll fit right in.

At Digs, you won't be working on throwaway sandbox projects. We expect you to hit the ground running and ship real production code from day one. You will act as a core member of our R&D team, working alongside our Head of R&D and the broader engineering team to build the services and infrastructure that turn ML model outputs into user-facing value — focusing on backend integration, evaluation, and production readiness rather than model research.

Want to know what drives us? Explore our Digs Principles.  

What You'll Do

• Build and maintain FastAPI services in Python that serve ML models and integrate into our broader microservices architecture.

• Build evaluation frameworks and benchmarks to systematically measure quality across our ML services.

• Work with geometric and spatial data using libraries like Shapely, NumPy, and OpenCV to process, validate, and post-process model outputs into production-ready formats.

• Improve and extend our vision and language pipelines for construction document understanding, including tasks such as instance segmentation, classification, and geometric shape analysis.

• Integrate ML outputs into production workflows orchestrated by our Restate durable execution engine.

• Adopt and help shape our agentic coding practices — our team embraces tools like Cursor, Copilot, and Claude Code to accelerate development.

You Might Also 

• Work with vector embeddings and semantic search infrastructure using pgvector.

• Contribute to our TypeScript backend and React frontend as features require end-to-end implementation.

• Run data analysis and experimentation to identify model failure modes and drive improvements with measurable results.

• Contribute to our human-in-the-loop annotation workflows, helping design pre-annotation pipelines and process crowdsourced labeling results.

Who You Are

• You recently completed a degree in Computer Science, Machine Learning, Data Science, or a related field (or have equivalent practical experience) and are looking for a runway to transition into a full-time role.

• You have a strong foundation in Python and are comfortable writing production-quality code, not just notebook prototypes.

• You have coursework or project experience in machine learning and understand the fundamentals of training, evaluation, and iteration.

• You are comfortable working with data — cleaning it, analyzing it, visualizing it, and drawing conclusions from it.

• You are a highly collaborative, self-motivated communicator who thrives in ambiguity, takes ownership of your work without waiting for instructions, and isn't afraid to say "I don't know yet" while moving fast.

• You are comfortable participating in virtual meetings and in-person collaboration at our Vancouver, WA HQ

Bonus Qualities You Might Have

• Experience building APIs with FastAPI, Flask, or similar Python web frameworks and deploying models behind them.

• Familiarity with HuggingFace Transformers and the model hub ecosystem.

• Experience training models from scratch or fine-tuning using supervised fine-tuning or parameter-efficient fine-tuning techniques.

• Contributions to open-source projects or published research.

• Startup experience: proven ability to move fast on a small engineering team.

• Experience or interest in the home building, home remodeling, construction, or real estate industries.

The Details:

This internship position is set to begin in April 2026 and will last 12 weeks, with a commitment of approximately 30 hours per week. The compensation ranges from $20 to $25 per hour, depending on experience. The internship will be hybrid, with in-person and remote components, conducted at our Vancouver, WA headquarters and via platforms such as Google Meet and Zoom. We will provide all necessary equipment, including a laptop, to ensure you have everything needed to succeed in this role. 

How to Apply:

If this role excites you and you feel aligned with our Principles, please submit your application via LinkedIn or the Digs Careers Page. 

Note: This internship position may lead to future employment opportunities, subject to performance and business needs.

Digs is committed to fostering an inclusive and diverse workplace where everyone feels valued and respected. We encourage candidates from all backgrounds to apply. 

Applicants must be authorized to work in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time. 

About The Role

What You'll Do

1. Leasing Duties:

• Manage leasing inquiries and maintain accurate suite availability. 
• Schedule and confirm appointments for property viewings, conducting engaging suite showings. 
• Facilitate effective communication to ensure prospects receive timely and accurate information. 
• Guide prospects through the application process and participate in resident selection. 
• Assist in leasing performance analysis, providing weekly/monthly trends.  
• Ability to speak to the residential tenancy act, and have an understanding of lease agreements, addendums, and tenancy guidelines. 

2. Resident Engagement Support:

• Assist in organizing resident events, programs, and activities to encourage community engagement. 
• Respond to resident inquiries, concerns, and feedback professionally and promptly. 
• Act as a point of contact for residents, addressing their needs and facilitating communication with management. 

3. Administrative Assistance:

• Maintain resident records, lease agreements, and relevant documentation. 
• Handle resident move-ins and move-outs, conducting apartment inspections. 
• Support in preparing and distributing communication materials to residents. 

4. Financial and Budget Support:

• Collaborate to manage the building's financial operations effectively. 
• Assist in monitoring rent collections, processing invoices, and maintaining financial records. 
• Contribute to preparing and monitoring the annual budget, tracking expenses, and identifying cost-saving opportunities. 

5. Team Collaboration:

• Work closely with the management team to ensure seamless coordination and task execution. 
• Foster a positive team culture, promoting teamwork and collaboration. 
• Support in providing feedback and guidance to team members.

6. Vendor and Maintenance Coordination:

• Collaborate with maintenance teams to address resident maintenance requests and building repairs promptly. 
• Assist in managing relationships with external vendors and service providers. 

What You Bring

• Previous experience in property management, customer service, or related fields is an asset. 
• Ability to work Tuesday to Saturday from 9:00AM to 5:00PM.
• Excellent communication and interpersonal skills, with the ability to interact with residents and team members professionally and courteously. 
• Strong organizational abilities, attention to detail, and time management skills. 
• Proficiency in Microsoft Office Suite and property management software (knowledge of Yardi or similar software is a plus). 
• Ability to work in a fast-paced environment, handling multiple tasks and priorities effectively. 
• A proactive and positive attitude, willing to take initiative and contribute to the success of the community.