- Страна
- Канада
- Зарплата
- 160 000 ₽ – 200 000 ₽
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на вакансии с ИИ

Technical Product Manager
Отличная вакансия для технически подкованных продактов. Высокая зарплата, работа в передовой AI-компании с серьезным финансированием, удаленный формат и культура, поощряющая реальное создание продукта, а не просто управление процессами.
Сложность вакансии
Высокая сложность обусловлена требованием 'builder mindset': кандидат должен уметь самостоятельно писать код для прототипов, работать с SQL и API, а также иметь глубокую экспертизу в AI/ML. Роль предполагает полную ответственность за продукт от стратегии до запуска в быстроменяющейся среде.
Анализ зарплаты
Предлагаемая зарплата в 160,000 - 200,000 CAD соответствует верхнему сегменту рынка для Senior/Technical PM ролей в Канаде. Это конкурентоспособное предложение, учитывая удаленный характер работы и фокус на AI.
Сопроводительное письмо
I am writing to express my strong interest in the Technical Product Manager position at Ada. With over five years of experience in product development and a deep-seated 'builder' mindset, I am drawn to Ada’s mission of making customer service extraordinary through AI. My background in bridging the gap between complex technical architectures and intuitive user experiences aligns perfectly with your requirement for a PM who can prototype ideas using coding agents and SQL before they ever reach a slide deck.
In my previous roles, I have consistently focused on making data actionable and transparent, which resonates with your goal of helping enterprise customers like Pinterest and Monday.com trust their AI agents. I am an AI-native professional who uses LLMs and APIs daily to accelerate development cycles. I am eager to bring my technical fluency and customer-obsessed approach to the Product Development team at Ada to drive the next generation of AI-driven analytics and automation.
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Описание вакансии
About Us
Ada is an AI customer service company whose mission is to make customer service extraordinary for everyone. We're driven to raise a new standard of quality customer service at scale, enabling enterprise companies to deliver experiences that people love–instant, proactive, personalized, and effortless.
Ada is an AI transformation platform and partner—combining strategic expertise with powerful AI agent management technology to accelerate businesses’ AI maturity to keep them ahead of the curve. With Ada, 83% of customer conversations—and counting—are effortlessly resolved through automation, giving teams more time back, companies more resources to focus on growth, and customers more life to focus on what matters most to them.
Established in 2016, Ada is a Canadian company that has powered over 5.5 billion interactions for leading brands like Square, YETI, IPSY, and Monday.com, saving millions of hours of human effort. Backed with over $250M in funding from tier-one investors including Accel, Bessemer, FirstMark, Spark, and Version One Ventures, Ada is a pioneer in the management and application of AI in customer service.
At Ada, we see growth as a reflection of each individual owner’s personal growth. That’s why our values are rooted in driving progress and continuous improvement. If you’re ambitious and eager to grow, Ada could be the place for you.
Learn more at www.ada.cx.
The Role
At Ada, Product Managers are builders first. They own their work end-to-end, shaping every stage from ideation to market launch. This is a highly visible, high-impact role where you'll define and deliver innovative AI-driven experiences.
Our AI-first development lifecycle changes how we build software. PMs drive what gets built and why- partnering with design to shape the experience and with engineering to ship it. You generate working prototypes to validate ideas before committing to builds. You write specs detailed enough to drive AI agent execution. You use coding agents daily to research, prototype, query data, and move at a pace that would have been impossible a year ago.
We're looking for a Technical Product Manager who thrives in complex, fast-moving environments and blurs the lines between disciplines. You embrace challenges, act decisively, and relentlessly pursue results. You are curious by default, asking "why" until you get to the root of a problem. Your decisions blend data, intuition, and customer insight, ensuring everything you build is intentional, high-quality, and deeply integrated into the broader product.
Responsibilities
- Make AI agent performance transparent and actionable. Define how AI managers at companies like Pinterest, monday.com, and Digicel understand what their AI agents are doing, where they're falling short, and what to do about it. The analytics experience is how customers build trust in AI and drive continuous improvement.
- Build, not just manage. Use coding agents to prototype and validate ideas with customers early, write detailed specs that drive AI agent execution, and work directly with engineering to ship fast.
- Own product end-to-end. Drive the full lifecycle — from strategy and roadmap through execution, iteration and launch. You are accountable for outcomes, not just output.
- Think in systems, contribute across the product. Analytics is the primary focus, but you won't stay in a lane. The product is built to work as one — you'll see how the pieces connect and step in to make them better.
- Be deeply customer-facing. Run discovery with enterprise customers, CX leaders, and end users. Understand how they operate, where AI falls short, and what would make them trust it more. Translate that into product direction.
- Partner tightly with engineering and design. Work shoulder-to-shoulder with the team. Debate architecture tradeoffs, challenge design decisions, and earn trust through competence.
- Measure what matters. Set benchmarks, instrument metrics, query the data directly. Relentless focus on whether what shipped actually moved the needle for customers.
About you
- 5+ years in product development (engineering, design, or product management), including 2+ years in a PM role driving products from concept to launch.
- Builder's mindset. You prototype before you present. You'd rather show a working concept than a slide deck. You thrive in ambiguity and use rapid iteration to define new product patterns.
- No boundaries. You don't wait for someone else to pull data, prototype an idea, or investigate a technical constraint. You use coding agents, APIs, SQL, and whatever tools get you answers.
- Technically fluent and AI-native. Comfortable with APIs, system architecture, AI/ML concepts, and data pipelines. You use LLMs and coding agents daily as core infrastructure for how you work, not as novelty.
- Design-minded. Strong product taste and deep enough UX understanding to be a true thought partner to designers. You prototype to validate direction and collaborate closely with design to bring ideas to a polished finish.
- Customer-obsessed. You spend real time with customers and let that inform every decision. You balance big-picture strategy with an obsession for getting the details right.
- Fast-moving and versatile. You ramp quickly in new problem spaces, turn ambiguity into momentum, and get energy from impact, not territory.
- Influential, not authoritative. You lead by inspiring, aligning, and advocating — not by authority. You collaborate across engineering, design, and business teams to bring your vision to life.
Compensation: $160,000 - $200,000 OTE CAD
Pay will be determined based on several factors such as past experience and qualifications, geographic location, and other job-related factors permitted by law.
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Benefits & Perks
At Ada, you’ll not only build extraordinary products but also thrive in an environment designed for your success. We prioritize your well-being, growth, and work-life balance. Here’s what we offer:
Benefits
- Unlimited Vacation: Recharge when you need to.
- Comprehensive Benefits: Extended health coverage, dental, vision, travel, and life insurance.
- Wellness Account: Empowering you to invest in your overall well-being and lifestyle.
- Employee & Family Assistance Plan: Resources to support you and your loved ones.
Perks
- Flexible Work Schedule: Balance your work and personal life.
- Remote-First, In-Person Friendly: Options to work from home or at our local hub.
- Learning & Development Budget: Invest in your long-term growth goals and skills.
- Work from Home Budget: Equipping you with the tools and support for a seamless remote work experience.
- Access to Cutting-Edge AI Tools: Work with the best AI tech stack in the industry.
- Hands-On with LLMs: Enhance your expertise in leveraging large language models.
- A Thriving Industry: Join the forefront of innovation in AI, shaping the future of technology.
The above Benefits and Perks only apply to full-time, permanent employees.
As part of our recruitment process, we may use AI enabled tools to support certain aspects of hiring, such as interview note-taking. All hiring decisions are made by our team.
Thank you for your interest in joining us at Ada. Due to the high volume of applications, we will only contact candidates whose qualifications match closely to the requirements of the position. We appreciate the time you have invested in learning more about us.
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Навыки
- Product Management
- Artificial Intelligence
- Machine Learning
- LLM
- SQL
- UX Design
- System Architecture
- APIs
- Data Pipelines
- Prototyping
Возможные вопросы на собеседовании
Проверка технической грамотности и умения использовать современные инструменты разработки.
Расскажите о последнем случае, когда вы использовали coding agents или LLM для создания прототипа или решения технической задачи. Каков был результат?
Оценка способности работать с данными и метриками, что критично для аналитического направления продукта.
Как бы вы спроектировали систему метрик для оценки доверия пользователя к ответам AI-агента? Какие данные вы бы анализировали в первую очередь?
Проверка навыков взаимодействия с инженерной командой и понимания архитектуры.
Опишите ситуацию, когда вам пришлось обсуждать архитектурные компромиссы с разработчиками. Как вы сбалансировали скорость выпуска фичи и технический долг?
Оценка продуктового мышления и умения работать с клиентами.
Как вы подходите к процессу Discovery с крупными корпоративными клиентами, когда речь идет о внедрении инновационных AI-решений?
Проверка способности работать в условиях неопределенности.
Приведите пример продукта или крупной функции, которую вы вели от идеи до запуска. С какими самыми большими препятствиями вы столкнулись и как их преодолели?
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- Страна
- Канада
- Зарплата
- 160 000 ₽ – 200 000 ₽