Senior Product Manager, Match
Upwork INC · 🇨🇦 Toronto, Ontario, Canada
Sponsorship verdict
No sponsorship evidence yet
No government record and no wording either way. Not a refusal — ask the recruiter.
- No government sponsor record hereNo government sponsor record covers this employer in this country.
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeCanada has no single salary bar: the employer usually needs a positive LMIA. Pay at or above the provincial median wage + 20% (e.g. C$36.92/h in Ontario) puts it in the high-wage stream. Source: https://www.canada.ca/en/employment-social-development/services/foreign-workers/median-wage.html, rules effective 2026-07-17.
- Confirmed live todayWhen a source last listed this job as open.
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Sponsor Radar — Upwork INC
No government sponsor record covers this employer in this country.
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About the role
Upwork Inc.'s (Nasdaq: UPWK) family of companies connects businesses with global, AI-enabled talent across every contingent work type including freelance, fractional, and payrolled. This portfolio includes the Upwork Marketplace, which connects businesses with on-demand access to highly skilled talent across the globe, and Lifted, which provides a purpose-built solution for enterprise organizations to source, contract, manage, and pay talent across the full spectrum of contingent work. From Fortune 100 enterprises to entrepreneurs, businesses rely on Upwork Inc. to find and hire expert talent, leverage AI-powered work solutions, and drive business transformation. With access to professionals spanning more than 10,000 skills across AI & machine learning, software development, sales & marketing, customer support, finance & accounting, and more, the Upwork family of companies enables businesses of all sizes to scale, innovate, and transform their workforces for the age of AI and beyond. Since its founding, Upwork Inc. has facilitated more than $30 billion in total transactions and services as it fulfills its purpose to create opportunity in every era of work. Learn more about the Upwork Marketplace at Upwork.com and follow us on LinkedIn , Facebook , Instagram , TikTok , and X ; and learn more about Lifted at Go-Lifted and follow on LinkedIn . Upwork's Match Platform team sits at the heart of how clients and freelancers find each other. As Senior Product Manager for Match Platform, you will own the shared infrastructure that powers matching, personalization, embeddings, and evaluation across multiple product surfaces. This is a high-leverage role: the models, features, and frameworks you build become the foundation that other product and ML teams build on. You will partner closely with engineering, data science, machine learning, analytics, and marketplace operations to reduce duplication, increase reuse of shared capabilities, and drive measurable improvements in match quality, and relevance. Responsibilities • Innovate: Drive the roadmap for next-generation AI-powered search, recommendation, and matching systems — including retrieval, ranking, personalization infrastructure, and the shared model and feature foundations that multiple product surfaces build on. • Strategize: Own the AI/ML product strategy and roadmap, making deliberate tradeoffs between long-term platform investments and near-term surface-specific wins so teams build on a common foundation rather than duplicating work. • Apply cutting-edge AI to solve high-impact customer problems, including but not limited to: • NLP and intent understanding to better interpret what users are looking for • Embedding-based and neural retrieval for deeper contextual matching • Personalized ranking • Real-time indexing for fresher, more relevant results • Own core models and evaluation systems: Set strategy for human labeling programs, offline evaluation frameworks, and online experimentation, and establish a unified data strategy for shared labels, features, and outcomes. • Collaborate: Lead cross-functional alignment across product, engineering, ML, data science, analytics, design, and operations, moving work forward through clarity and trust rather than authority. • Measure success: Define instrumentation, key metrics, and operating cadences that connect system-level insights to measurable product improvements. • Stay on the cutting edge: Track emerging AI techniques and tools and bring them into your work early, keeping our search and recommendation capabilities ahead of the curve. What it takes to catch our eye • Proven experience as a product manager working directly on search, recommendation, ranking, or large-scale information retrieval systems, ideally in a mark