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EverCommerce

EverPro - Senior Product Manager, AI-Powered Workflows at Joist (Remote CAN)

Posted 44 minutes ago
150K - 175K per year
5-10 years experience
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AI Summary

Own the end-to-end product area by uncovering customer needs, setting priorities, and delivering measurable business outcomes. Design and implement AI-powered workflow automation while partnering with engineering and design teams to ensure high-quality, trustworthy user experiences.

EverPro - Senior Product Manager, AI-Powered Workflows at Joist (Remote (Remote, CAN)

At EverCommerce [Nasdaq: EVCM], we are on a mission to digitally transform the service economy with tailored, end-to-end SaaS solutions that simplify and empower the lives of our 725,000+ customers.  As a leading service commerce platform, our modern digital and mobile applications create predictable, informed, and convenient experiences between customers and their service professionals in the areas of Home & Field Services, Health Services, and Wellness industries. 

We are building an extraordinary company and looking for talented, energetic, and motivated people to join our team. You can learn more about our Company, Culture and Values here: https://careers.evercommerce.com/us/en 

 

We are looking for a Senior Product Manager to shape the next generation of AI-powered experiences in Joist. You will turn real customer problems into useful workflows that reduce administrative work across jobs, invoicing, scheduling, customer communications, and payments. Opportunities include connecting AI-enabled chat and voice interactions to the actions contractors need to take next.

This is a customer-facing product leadership role, not an AI research, machine-learning, or data science role. Prior field service management (FSM) is a plus. You will bring strong SaaS product judgment, practical experience with AI-enabled workflows, and the ability to deliver simple, trustworthy experiences in an evolving space.
 
Responsibilities: 
 

  • Own a meaningful product area end to end: uncover customer needs, set priorities, define a roadmap, and deliver measurable customer and business outcomes.
  • Lead discovery with contractors and small business owners; translate their jobs-to-be-done into clear product opportunities and intuitive end-to-end experiences.
  • Design and deliver AI-powered assistance and workflow automation across core service-business tasks, from early concepts through launch, learning, and iteration.
  • Decide where AI genuinely improves the experience and where conventional product approaches work better; design for transparency, user control, and graceful recovery when automation falls short.
  • Partner closely with Engineering, Design, and AI/platform teams to navigate dependencies, technical trade-offs, integration opportunities, and quality.
  • Prototype and experiment to validate assumptions quickly; use customer feedback, usage data, and success metrics to improve adoption, effectiveness, and trust.
  • Communicate decisions and trade-offs clearly, align stakeholders, and drive execution with accountability in an evolving environment.

Skills and Experience needed for success in this role:

  • 5-7+ years of product management experience, with a strong foundation in B2B SaaS, SMB SaaS, or complex workflow products.
  • A demonstrated record of owning products or major capabilities from discovery through launch and iteration, with measurable results.
  • Practical experience shaping or delivering AI-powered product features or workflows, and the judgment to discuss their user value, limitations, and reliability considerations.
  • Strong customer discovery, product design, prioritization, analytics, and experimentation skills.

Nice to haves:

  • An AI-native approach to product development, including hands-on use of AI tools for research, prototyping, testing, or accelerating your own workflows.
  • Experience with conversational AI, AI agents, integrations, or human-in-the-loop workflow design.
  • Familiarity with product-led growth, field service management, construction, trades, or other small-business service industries.
     

Where 

 

The EverCommerce team is distributed globally, with teams in the U.S., Canada, the U.K., Jordan, New Zealand, and Australia. With a widely distributed team, we are used to working remotely across different time zones. This role can be based anywhere in Canada - if you’re close to one of our offices, we can set you up in-office or you can work 100% remotely. Ideally, the candidate is based in the Greater Toronto Area. Otherwise, occasional travel to our Toronto office—once per quarter—will be expected. Please note that you must be eligible to work without sponsorship to qualify for this position, and this role may require travel to our Corporate Headquarters in Denver, Colorado, or to other office locations around North America. 
 

Benefits & Perks 

  • Flexibility to work where/how you want within your country of employment – in-office, remote, or hybrid
  • Flexible and generous (FTO) time-off 
  • Robust wellness benefits, including an annual wellness stipend 
  • Registered Retirement Savings Plan (RRSP) with 4% company match 

Compensation 
 

The target base compensation for this position is $150,000 to $175,000 CAD per year in most locations. Final offer amounts are determined by multiple factors including location, local market variances, and candidate experience and expertise, and may vary from the amounts listed above. 


EverCommerce is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender identity, sexual orientation, age, marital status, veteran status, or disability status. We look forward to reviewing your credentials and getting to know more about your experience!


EverCommerce uses approved artificial intelligence (“AI”) tools to support its business operations. Employees are encouraged to use authorized AI tools, when appropriate for their roles, to improve efficiency, quality, and innovation. All AI use must comply with company policies, including requirements concerning confidentiality, data security, intellectual property, accuracy, and human review. Employees remain responsible for reviewing and validating AI-assisted work.

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