Principal Product Manager leading Docker’s secure sandbox infrastructure. Shaping isolated execution products for developers and AI agents across local and cloud workflows.
AI
Senior Product Manager, Platform, Data & Intelligence
Posted 8 months ago
About the role
- Senior Product Manager driving product decisions for data and analytics foundations at Acuity. Leading platform evolution and creating meaningful insights for institutional growth.
Responsibilities
- Design the data, analytics, and intelligence foundations that products and decisions are built on.
- Own the product decisions that turn fragmented systems into coherent foundations and evolve those foundations into meaningful analytics and intelligence offerings.
- Enable teams to build faster, operate with confidence, and generate insight that supports institutional decision-making and long-term growth.
- Accountable for outcomes, not just artifacts or outputs.
- Own platform-level problem discovery and framing, distinguishing between product-specific needs and platform opportunities, and identifying the highest-leverage problems worth solving.
- Define and communicate a coherent platform direction across data, analytics, integrations, and intelligence, aligned with business strategy and product priorities.
- Actively lead sequencing decisions across foundational platform work, including integrations, data migrations, and analytics evolution, deciding what to build now, what to defer, and what not to build at all.
- Set the direction for the platform infrastructure that enables marketplace and ecosystem partners, including decisions about extensibility, integration patterns, and how external partners safely and effectively interact with the platform.
- Partner closely with Engineering to scope work realistically, protect engineering focus, and balance delivery with long-term platform health.
- Define and evolve analytics and intelligence offerings, including clear decisions about what is foundational versus advanced, how insights are surfaced, and how analytics create differentiated value for institutions.
- Own outcome accountability for platform initiatives from discovery through delivery and iteration, ensuring the platform is trusted, extensible, and viable at scale.
- Own product decisions for how intelligence and AI-enabled capabilities are embedded into workflows, ensuring they are grounded in strong data foundations, clear user value, and long-term platform viability.
Requirements
- You’ve spent years working on complex products, particularly those with shared infrastructure, data, or platform concerns.
- You’ve been close to delivery, made hard sequencing decisions, and learned from real constraints, not just idealized roadmaps.
- Take ownership of outcomes and follow through from discovery to delivery.
- Are comfortable operating in ambiguity and shaping clarity over time.
- Think in systems, not just features, and enjoy reducing complexity at scale.
- Partner deeply with Engineering and value technical fluency as part of strong product leadership.
- Bring urgency and execution muscle, while still valuing collaboration and long-term integrity.
Benefits
- Transparent compensation. A fair and transparent salary between $170,000–$210,000 CAD, aligned to role scope, experience, and internal equity.
- A $3,000 annual learning budget to invest in your development, whether that’s deepening technical skills, building confidence, or exploring new areas of interest.
- Access to employee stock options, so you share in the value you help create.
- Fully remote within Canada, with up to six weeks per year to work internationally.
- Self-directed vacation (most teammates take 4–6 weeks annually), monthly Acuity Days (a collective Friday off), plus a two-week company-wide closure each December.
- Health benefits from day one for you and your dependents.
- A 2% GRSP matching program to help you plan ahead.
- A 16-week parental leave top-up beyond EI, available to all parents.
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