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В Company hidden это четко описанная senior-роль, где практическая работа с AI сочетается с ответственностью за монетизацию и вывод продукта на рынок; зона ответственности широкая, но ожидания обозначены ясно.
?Широкая ответственность
Работа с AI
Зрелая продуктовая компания
Понятные ожидания
Гибкие условия
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Product Manager (AI): Owning pricing, packaging, monetization, and go-to-market for an AI-powered operations orchestration platform with an accent on usage-based economics, platform capabilities, and enterprise SaaS commercialization. Focus on building unit-economics models, defining metering and entitlements, evaluating agentic systems, and translating customer and engineering needs into reusable platform capabilities.
Location: Other Canadian locations — Remote; Ottawa and Toronto — Hybrid
Company
hirify.global provides an AI-infused supply chain orchestration platform used by more than 40,000 users in over 100 countries to improve visibility, decision-making, and resilience across complex global supply chains.
What you will do
Own pricing and packaging for operations orchestration, including units of value, metering, subscription tiers, third-party cost pass-through, price floors, and margin targets.
Build unit-economics models covering model tokens, compute, environment sizing, partner costs, and forward-deployed engineering effort.
Define platform requirements for usage attribution, tenancy, environments, entitlements, solution packaging, governance controls, and commercial instrumentation.
Define the go-to-market motion, support sales enablement, represent the product with customers and partners, and own conversion, revenue, time-to-production, and gross-margin metrics.
Work directly with the platform by reviewing traces and evaluation results, joining customer co-builds, and converting one-off requests into reusable capabilities.
Communicate strategy, roadmap, progress, and risks to executives while addressing security, privacy, and compliance with Security and Legal.
Requirements
7+ years of product management experience in enterprise SaaS or platform software, including ownership of pricing, packaging, or a product revenue number.
Experience pricing a usage-based or consumption-based product, or a platform sold as capacity plus applications, including building the underlying unit-economics model.
Hands-on experience building with large language models within the last 12 months, such as calling model APIs, building tool-using agents, writing evaluations, or shipping with an agentic coding tool; work samples must be demonstrable.
Ability to explain agent tool selection, evaluation gates, token cost and latency drivers, and the applications of retrieval, knowledge graphs, and fine-tuning.
Technical fluency with enterprise platforms, including APIs, authentication, single sign-on, multi-tenancy, event-driven systems, and data pipelines.
Ability to read API specifications or architecture documents, collaborate directly with engineers, and use SQL or an equivalent to define metrics, build funnels, or size markets.
Experience taking a B2B product to market, including launches, sales enablement, and direct collaboration with sales teams on live deals.
Bachelor’s degree in Computer Science, Engineering, Data Science, Operations, or a related field, or equivalent experience. An MBA or advanced degree is an asset.
Willingness to travel up to 20%.
Profiles focused only on managing machine-learning roadmaps through data science teams, executing someone else’s price list, per-seat licensing, mature products with established go-to-market teams, or strategy without hands-on execution are not a fit.
Nice to have
Experience in supply chain, manufacturing, or operations, including planning, S&OP, procurement, or logistics, or experience with ERP, WMS, or PLM data models.
Experience with enterprise build or data platforms and with forward-deployed or solutions engineers on customer builds.
Experience with metering, billing, entitlements, or cloud marketplace channels.
Experience with ontology or semantic modeling, knowledge graphs, or industry reference models such as SCOR.
Experience selling to enterprises where security and compliance, including SOC 2, ISO 27001, and data residency, are critical.
Culture & Benefits
Remote work is available in Canadian locations; Ottawa and Toronto roles use a hybrid model.
Flexible vacation, company-wide hirify.global Days, and flexible work options.
Physical and mental well-being programs, including scheduled virtual fitness classes.
Mentorship, training, career development, recognition programs, referral rewards, and hackathons.
hirify.global supports inclusive hiring, accessibility accommodations, diversity and inclusion initiatives, and sustainability programs.
Hiring process
Initial resume screening uses AI tools to compare education, experience, and skills with the job description; subsequent application decisions are made by the human recruitment team.
Accessibility accommodation requests should be sent to the recruitment programs contact provided in the posting; that contact is not for application-status inquiries.
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