Staff Product Manager, SEO and AI Visibility - CANADA (Remote)

Luxury Presence is building the AI growth platform for real estate. Backed by Bessemer Venture Partners and other top investors, we're a Series C company that has hit $100M in annual recurring revenue. More than 90,000 real estate professionals, including over 30% of the WSJ Real Trends top 100 agents in the United States, use us to run and grow their business.

Role Overview

We're looking for a Staff Product Manager to own the SEO and AI visibility solutions we build for our clients: more than 20,000 real estate websites that rank independently, each in its own market, with its own authority, its own competitors, and a real business depending on the outcome. This is not the SEO of a single corporate domain or one large marketplace. It is a platform product, where one change to a template, a schema implementation, or the way we render content moves thousands of domains at once.

The mandate is an excellent organic discovery platform: technical foundations, page experience, conversion, content, measurement, migrations, and experimentation. AI search is a growing part of that. Our clients are evaluated by Google's AI Overviews and AI Mode, by ChatGPT, Perplexity, and Gemini, and by every prospective seller who asks an assistant which agent they should call. The best people in this job design for three constituencies at once: the people who visit these sites, the crawlers and AI agents that read them, and the real estate business whose revenue depends on both.

This is not a job for someone who runs audits and hands recommendations to other people. You will set the strategy, ship with your own engineering team, and build the defaults, standards, and safeguards that make quality hold across the entire fleet. Most real estate professionals will never hire a technical SEO of their own. Our platform is how they get one.

What You'll Do

Own the product strategy and roadmap for organic discovery and AI visibility across every site on the platform, including what clients can see, control, and get credit for

Own the technical foundations across every page type we generate: crawlability, indexation, rendering, internal linking, structured data, and page performance

Productize what repeats. When the same issue or workflow shows up across the fleet, solve it once through better defaults, automation, shared capabilities, or safeguards

Make our clients' brands, listings, and expertise legible to AI assistants, and define how we measure citations and visibility across answer engines

Run a real experimentation program: prove changes on representative cohorts of sites, establish incremental impact, then scale what works rather than shipping broadly and inferring impact afterward

Own migration quality and regression prevention, including the standards, acceptance criteria, and automated checks that hold search quality as the platform ships

Partner with the team building the next generation of our website platform so search is designed in from the start, and give every product team a low-friction path to the right implementation

Set platform-level goals for organic performance, AI visibility, and client outcomes, and report against them to leadership

Who You Are

8+ years combined across SEO and product management, including 3+ years as a product manager shipping alongside engineering teams

You have owned search for a platform that hosts many independent customer domains, such as a website builder, a hosting or commerce platform, or a multi-location or franchise network. Running search for one large marketplace or corporate domain is valuable experience, but the fleet problem is a different job and it is the one we have

Deep technical foundation across rendering and JavaScript SEO, crawl and index management, information architecture, structured data, page performance, and migrations

You treat bots and AI agents as users of a website alongside people, and you design for both without trading one against the other

Obsessive about experimentation and measurement, including cohort testing, causal impact analysis, Search Console data at scale, log analysis, and the discipline to tell a result from a coincidence

A current point of view on AI search, including how models discover, interpret, and cite a brand, and the judgment to separate what genuinely moves visibility from what is repackaged advice

Fluent with AI as a working tool. You use it to investigate messy systems, establish ground truth quickly, prototype solutions, and unblock yourself rather than waiting on another team at every stage of discovery

You get requirements implemented by teams you do not own, and you are welcome back afterward. What you write is sharp enough that a team of engineers can move without waiting on you

Opinionated about prioritization. This space generates infinite work, and your judgment about what to ignore matters as much as what you ship