Lead product discovery, define metrics, run experiments and analyze product usage to inform strategy. Translate user insights into prioritized requirements, write specs, manage JIRA, coordinate Design/Eng/Marketing, and support launches to drive activation, retention, and revenue.
What we’re doing
We’re building the AI-powered coaching platform that transforms how gamers learn, compete, and win. Backed by a16z and $12M in funding, we’re live in 5 titles with 100K+ users, expanding rapidly into new games, hardware partnerships, and SDK integrations.
You’ll Thrive Here If…
- You’re energized by ambiguity and move fast to bring clarity where others stall.
- You get a rush from finding the simple, elegant solution to a messy, complex problem.
- You think like a GM//always asking how a product choice impacts revenue, growth, and user success.
- You’re creative at problem solving — able to structure messy problems, build frameworks, and beat ambiguity with clear, actionable paths forward.
Some things you’ll do
- User discovery & insights
- Embed yourself into gamer communities (Reddit, Discord, conferences) to surface real user needs and trends.
- Talk to users, run surveys, and synthesize feedback into actionable insights.
- Translate customer problems & business goals into clear, prioritized product requirements.
- Analyze product usage patterns (SQL, Mixpanel) and connect insights directly to business outcomes.
- Data-driven decision-making
- Define success metrics, own dashboards/funnels/experiment readouts, and deliver decision-ready insights.
- Size and scope opportunities using product data, market sizing, and an 80/20 lens to de-risk decisions quickly.
- Identify opportunities to double down, design/run experiments (A/B tests, pilots), and present clear recommendations.
- Product strategy & execution support
- Surface & scope opportunities — investigate market pain points, partner with leadership on shaping strategy, then translate direction into scopes, specs, and cross-team execution.
- Write scopes/specs, manage JIRA, and keep initiatives moving smoothly across Design/Eng/Marketing
- Support launch plans, onboarding flows, rollout processes, and usage monitoring.
- Connect product metrics to conversion, activation, retention, and revenue
Skills You’ll Bring
- Product & business foundation
• 2+ years of PM experience at a product-driven tech company, owning meaningful product surface area (B2C a plus)
• 1+ years experience in a fast-paced, analytical role (e.g., chief of staff, bizops, VC/PE, banking, consulting, or growth-focused roles at a high-growth tech company)
- Analytical & strategic
• Strong ability to structure ambiguous problems, form hypotheses, design/interpret experiments, and make data-driven decisions
• GM-like mindset with awareness of how product connects to revenue, growth models, pricing, and go-to-market
- Execution & product sense
• Nice to have - Shipped AI-powered products or features (LLMs, recommendation engines, intelligent automation)
• Ability to deconstruct visions into clear, actionable roadmaps that align with company objectives
- Mindset & communication
• Ownership-first, bias-to-action, thrives in early-stage/high-urgency environments
• Deep user empathy, first-principles thinker, obsessed with simple, elegant solutions
• Excellent communicator who can turn chaos into clarity and align stakeholders
You WILL NOT enjoy this role if
- You need a rigid playbook or lots of hand-holding — this is a fast-moving startup with shifting priorities.
- You avoid digging into data or SQL, being data informed is core to this role.
- You prefer long research cycles over shipping quickly and iterating.
- You’re uncomfortable making decisions with incomplete information.
- You aren’t naturally hyper-organized you’ll be expected to keep metrics, JIRA, specs, and experiments tidy and up-to-date so the team can move fast.
- You don’t play video games
Similar Jobs
Artificial Intelligence • HR Tech • Information Technology • Machine Learning • Software • App development • Industrial
Own product discovery, definition, prioritization, roadmap decisions, and delivery for WorkWhile’s marketplace platform. Partner with engineering and cross-functional teams to translate ambiguous problems into product direction, write specifications, define success metrics, gather user feedback, and drive rapid iteration. Align GTM, customer support, and operations stakeholders while managing products from kickoff through launch.
Artificial Intelligence • Big Data • Enterprise Web • Fintech • Software • Financial Services
Own the roadmap and backlog for managed investment calculations. Translate investment methodologies and business needs into calculation specifications, requirements, user stories, and acceptance criteria. Analyze complex datasets with SQL, prototype and validate calculations, investigate discrepancies, and collaborate with research, engineering, QA, and stakeholders to ensure accurate production implementation. Prioritize enhancements, manage methodology changes, document calculations, monitor quality and adoption, and communicate delivery risks.
Top Skills:
APIsCloud Analytical PlatformsData PipelinesPythonSQL
Big Data • Cloud • Software • Database
Own the vision, strategy, and roadmap for MongoDB’s Partner Platform, including Partner API, self-service onboarding, enterprise controls, billing, discovery, and partner-managed experiences. Translate partner and customer needs into scalable product capabilities, establish operating models and success metrics, and coordinate engineering, security, billing, design, documentation, marketing, and field teams. Represent MongoDB externally while enabling reliable, secure experiences for human and AI-agent developers.
Top Skills:
Agent FrameworksAi AgentsApi GovernanceAuthentication And AuthorizationCloud PlatformsDeveloper ToolsDistributed SystemsIamMcpMongoDBMulti-Tenant SystemsOauthObservabilityPartner Apis
What you need to know about the Toronto Tech Scene
Although home to some of the biggest names in tech, including Google, Microsoft and Amazon, Toronto has established itself as one of the largest startup ecosystems in the world. And with over 2,000 startups — more than 30 percent of the country's total startups — Toronto continues to attract new businesses. Be it helping entrepreneurs manage their finances, simplifying business operations by automating payroll or assisting pharmaceutical companies in launching new drugs, the city's tech scene is just getting started.



