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Browse current jobs- Employment type
- Full-time
- Experience level
- Senior · 5+ years
- Minimum education
- Bachelor’s degree
- Posting language
- English
- Working hours
- 40 hours per week
- Seniority
- Mid-Senior level
- Application method
- Apply on LinkedIn (LinkedIn sign-in required)
Job summary
Own the roadmap and development of a new AI-powered document intelligence product, defining success metrics and taking it from early traction to scale. Lead enterprise proof-of-concept engagements and collaborate with engineering, design, sales, marketing, customer success, and data teams to deliver and improve the product.
Job details
Senior Project Manager Full-time On-site Toronto, Canada CAD $185K - CA$220K Required · 5 - 8 years of experience Product management experience, owning products from 0-to-1 · Experience managing products from inception to deployment at growth-stage startups · B2B SaaS PM experience, owning entire entire product and its deployment, rather than a few features. Nice to have · Experience in highly-regulated/compliance-driven industries (i.e. insurtech, healthtech, fintech, etc.) · Launched products and worked with enterprise customers Education Bachelors degree from a U.S., Canadian, or British university About this role We are looking for a Senior Product Manager with 5-8 years of experience to own and drive a new AI-powered document intelligence product line at company, the leading Claims Intelligence platform for North America's largest insurers. You'll be the first PM on the ground, defining success metrics, running POCs with enterprise customers, and taking the product from early traction to scale. This is a high-autonomy role where you'll work cross-functionally with engineering, design, sales, customer success, and a new data team — reporting directly to the CEO. If you thrive in ambiguity, love building 0-to-1, and want to shape the future of insurance AI, this is your role. What will you be doing? · Own the roadmap for company's new document understanding product (Bluejay) — including document summaries, artifact generation, AI-assisted chat, and task management features · Define and establish KPIs and success metrics for the new product line from scratch · Run proof-of-concept engagements with enterprise insurance carriers and iterate based on customer feedback · Partner cross-functionally with engineering, design, sales, marketing, customer success, and data teams to ship features that delight enterprise customers · Move fluidly between long-term strategy and hands-on execution, bringing structure to ambiguity in a fast-moving Series B environment Tech stack AI/ML, LLMs, SaaS, Data Analytics, A/B Testing Interview · Internal Recruiter (30 minutes) · Technical Round (45 minutes) · Product Design Interview 45 minutes · Culture Fit Interview 1 hour
What you’ll do
Own the roadmap and development of a new AI-powered document intelligence product, defining success metrics and taking it from early traction to scale. Lead enterprise proof-of-concept engagements and collaborate with engineering, design, sales, marketing, customer success, and data teams to deliver and improve the product.
Requirements
Requires 5–8 years of product management experience, including owning products from inception through deployment, preferably at growth-stage startups and in B2B SaaS. A bachelor’s degree from a U.S., Canadian, or British university is specified; experience in regulated industries and launching products for enterprise customers is a plus.
Listed skills
- Product management · Preferred
- Cross-Functional Collaboration · Preferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Product Management
- Product Roadmapping
- 0-to-1 Product Development
- B2B SaaS
- Artificial Intelligence
- Document Intelligence
- Large Language Models
- Enterprise Customer Engagement
- Proof-of-Concept Management
- KPI Definition
- Data Analytics
- A/B Testing
- Cross-Functional Collaboration
- Product Strategy
- Product Deployment
- Customer Feedback
Job areas
- Technology
- Management & Leadership
- Data & Analytics
- Software
