Senior Product Manager
- Toronto, ON, Canada
$200,000 to $250,000 CAD / year · Full-time
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Job details
- Pay
- $200,000 to $250,000 CAD / year
- Job type
- Full-time
- Apply by
- Posting language
- English
- Posted
Original job description
We’re looking for a Senior AI Product Manager who will own the AI experience inside our clients product environment. AI is the core of the product, not an add-on, and the successful Senior AI Product Manager will own what users experience, whether it works, and the economics behind it. You’ll partner closely with Engineering, who own technical architecture and model choice, and with senior stakeholders who bring the service methodology.
This is a Hybrid position where 3 days per week will be spent working from our clients Toronto based office. On offer is a brilliant package with an annual salary up to $250,000 (Canadian Dollars), Annual Bonus Scheme, Company Pension, Private Health Care and Holiday Package where you can buy or sell additional days!
We’re looking to engage with Senior AI Product Managers that will become the clear product owner for our clients AI experience: making high-quality product decisions independently, without them needing to escalate through technical leadership, and building AI experiences that users trust, that measurably improve outcomes, and that make economic sense at enterprise scale.
About you
- You’ll own the AI capabilities within our clients product platform from product direction through launch and iteration
- Make core product calls on what the AI should do, how users experience it, how the Company measures whether it works, and what it costs to run
- Turn emerging LLM capability into product experiences that create meaningful, measurable behavior change
- Lead rapid experimentation across prompts, context, memory, retrieval, agents and tools, prototyping ideas yourself when that’s the fastest way to learn
- Define how the business evaluates probabilistic AI experiences, combining conversational data review, product data and outcome measures rather than engagement alone
- Manage trade-offs across quality, latency, reliability, safety and cost, designing for trust and confidentiality in highly personal conversations
You’ll need
- Significant product management experience in AI-native or AI-first products
- You’ve personally shaped and shipped an LLM-based conversational product designed to support behavior change
- A practical understanding of modern LLMs, including their limitations, failure modes and how to evaluate them
- Experience reviewing sensitive data at scale within privacy controls, and turning it into product decisions
- You build your own prototypes using code, AI-assisted development tools or low-code environments
- A startup or scale-up background, with a track record of measuring outcomes, not just usage
If you’d like to learn more about this Senior AI Product Manager opportunity then please click the APPLY button and a Spencer Scott representative will reach out to you.
Spencer Scott Ltd is an equal opportunity Recruitment Agency, which means we do not discriminate on the basis of race, colour, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression. We celebrate diversity and are committed to create inclusive working environments for all our clients.
More about this job
Responsibilities
Own the AI capabilities and user experience across the product platform, from product direction through launch and iteration, making independent decisions about functionality, measurement, and operating costs. Lead experimentation and evaluation of AI experiences, balancing quality, latency, reliability, safety, trust, confidentiality, and cost while measuring meaningful user and business outcomes.
Requirements
Requires significant product management experience with AI-native or AI-first products and personal experience shaping and shipping an LLM-based conversational product designed to support behavior change. Candidates should understand modern LLM capabilities and failure modes, have experience using sensitive data responsibly to inform product decisions, be able to build prototypes, and have startup or scale-up experience focused on outcomes.
Skills
- AI Product Management
- Product Strategy
- LLM Product Development
- Conversational Product Design
- Behavior Change
- Rapid Experimentation
- Prompt Engineering
- Context Management
- Memory Systems
- Retrieval
- AI Agents And Tools
- AI Evaluation
- Product Analytics
- Prototyping
- Privacy And Confidentiality
- Outcome Measurement
Benefits
- Annual Bonus Scheme
- Company Pension
- Private Health Care
- Holiday Package
- Option To Buy Or Sell Additional Holiday Days
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Management & Leadership
- Software
- Data & Analytics
Keywords
- Artificial Intelligence
- Large Language Models
- Conversational AI
- AI-Native Products
- Product Strategy
- Product Direction
- Prompt Engineering
- Context
- Memory
- Retrieval
- AI Agents
- Tools
- Rapid Experimentation
- Prototyping
- AI Evaluation
- Conversational Data Review
- Product Data
- Outcome Measurement
- Behavior Change
- Privacy Controls
- Sensitive Data
- Reliability
- Latency
- AI Safety
- Enterprise Scale
- Startup
- Scale-Up