Principal Product Manager, AI
Job in
Vancouver, BC, Canada
Listing for:
Highspot
Full Time
position
Listed on 2026-01-03
Job specializations:
-
IT/Tech
AI Engineer, Machine Learning/ ML Engineer
Job Description & How to Apply Below
What You'll Do
Define vision & strategy. Set the long-term product vision and multi-quarter roadmap for Highspot AI capabilities (e.g., model evaluation/monitoring, orchestration, entity detection, recommendation systems, observability, etc.). Translate company goals and customer needs into prioritized opportunities and measurable outcomes.Lead execution end-to-end. Drive discovery, product design, technical scoping, and delivery with a feature crew of engineers and designers. Make trade-offs to ensure speed and quality while keeping long-term platform health in mind.Own model + product success. Define model and product metrics, experimentation strategy, and SLA/quality targets. Partner with engineers and research to evaluate architectures (LLMs, RAG, retrieval, embeddings), set up model evaluation pipelines, and operationalize model monitoring and feedback loops.Drive platform & scale thinking. Design solutions that are performant, cost-aware, secure, and easy for other product teams to adopt. Where relevant, define APIs and tools, data contracts, and telemetry to support product and model lifecycle management.Champion safety, fairness & compliance. Establish guardrails, prompt / output validation, content filters, and incident playbooks. Work with Legal and Security to ensure data privacy and regulatory compliance.Be the cross-functional glue. Work closely with design, research, engineering, SRE, data science, analytics, sales engineering, and GTM to launch and scale features. Translate technical tradeoffs into business tradeoffs for executives and stakeholders.Mentor & raise the bar. Coach other PMs, participate in hiring, and help define best practices for ML product management and technical specwriting.Your Background
This is a principal-level position. You have been building software products for some time and have 8+ years of experience shipping products as a PM.You are experienced at taking ideas and ambiguous data, defining the right outcome, and then mapping the right roadmap/backlog to get there.You are able to consider and balance the many different data points and opinions about your area of ownership.You can communicate and articulate the strategy and roadmap to execs, team members and customers.This is a technical role, you will be able to work directly with senior engineers and instinctively understand technical concepts and trade-offs.You are able to comfortably handle many concurrent projects and todo’s, and instinctively re-prioritize often without needing guidance. Highspot is in a high growth stage and you will be comfortable with the level of ambiguity and workload that entails.You have worked with engineering teams as a product owner and have demonstrable experience leading cross-functional teams to ship high-quality products.You have the ability to roll up your sleeves and pick up work outside of your role definition when you need to. You are a strong communicator and can lead teams through difficult decisions.You have strong data skills in quantitative analytics and qualitative user research.Minimum Qualifications
8+ years product management experience building B2B SaaS products; 4+ years working directly with ML/AI products or platforms.Demonstrated technical fluency with modern generative AI / ML concepts (LLMs, RAG, embeddings, vector DBs, fine-tuning, prompt engineering, evaluation metrics, model ops). You don’t have to be an ML engineer, but you must confidently discuss architectures, tradeoffs, and productionization.Proven record of shipping complex, cross-functional AI products or platforms to production and driving measurable business impact.Strong quantitative and analytical skills — comfortable defining metrics, designing experiments, and using data to validate hypotheses.Exceptional communication skills: you can write crisp specs, present tradeoffs to executives, and explain technical topics to non-technical audiences.Experience mentoring PMs and participating in hiring; a track record of raising the bar for product craft.Preferred Qualifications
Background building platform or infrastructure used by other product teams (e.g., model-serving, feature stores,…
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