- Страна
- США
- Зарплата
- 203 000 $ – 229 000 $
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Director of Product Management - AI
Привлекательная роль в быстрорастущей компании с отличным финансированием и топовыми клиентами. Однако требование работы в офисе 5 дней в неделю и командировки до 40% времени могут подойти не всем кандидатам.
Сложность вакансии
Высокий уровень сложности обусловлен требованием глубокой экспертизы в области LLM и RAG, а также необходимостью работать в режиме 0-to-1. Дополнительную сложность создает требование 100% присутствия в офисе и частые командировки.
Анализ зарплаты
Предложенная зарплата ($203k - $229k) находится в пределах рыночной нормы для позиции Director уровня в Кремниевой долине, однако для AI-специалиста такого уровня она ближе к нижней границе, что компенсируется бонусами и опционами.
Сопроводительное письмо
I am writing to express my strong interest in the Director of Product Management - AI position at CommerceIQ. With over a decade of experience in product leadership and a deep-seated passion for LLM-driven automation, I am excited by the prospect of building the Retailer Copilot. My background in scaling zero-to-one products and my technical proficiency with RAG and agentic workflows align perfectly with your mission to revolutionize digital commerce for Fortune 500 brands.
Throughout my career, I have specialized in translating complex customer pain points into intuitive, AI-native solutions. I am particularly drawn to CommerceIQ’s incubation team approach, where rapid prototyping and customer co-creation are central to the strategy. I am eager to bring my expertise in prompt engineering and product intuition to help your team define the next generation of autonomous retail workflows and drive incremental sales for your global network of retailers.
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Откликнитесь в commerceiq уже сейчас
Присоединяйтесь к лидерам ритейл-технологий и создавайте будущее ИИ-агентов вместе с CommerceIQ!
Описание вакансии
Company Overview
CommerceIQ’s AI-powered digital commerce platform is revolutionizing the way brands sell online. Our unified ecommerce management solutions empower brands to make smarter, faster decisions through insights that optimize the digital shelf, increase retail media ROI and fuel incremental sales across the world’s largest marketplaces. With a global network of more than 900 retailers, our end-to-end platform helps 2,200+ of the world’s leading brands streamline marketing, supply chain, and sales operations to profitably grow market share in more than 50 countries. 10 out of the top 12 CPG brands work with us, including Coca-Cola, Nestle, Colgate-Palmolive, and Mondelez. We’ve raised over $200M from some of the top investors including SoftBank, Insight Partners, and Madrona. Learn more atcommerceiq.ai.
The Role:
CommerceIQ is pioneering a new frontier in retail tech by building the Retailer Copilot with Agents. This is a next-generation AI platform to empower retail teams with intelligent, autonomous workflows.
We’re seeking a curious, hands-on, and customer-obsessed Director of Product Management with an AI focus to join our incubation team. You’ll be at the intersection of cutting-edge LLM technologies and real-world retail execution problems, helping conceptualize, prototype, test, and scale agent-based solutions across our customer base.
If you thrive in zero-to-one environments, love working at the bleeding edge of AI, and enjoy sitting down with customers to dig into their workflows and co-create the future, this role is for you.
Why Join Us
- Be part of CommerceIQ’s newest frontier, shaping the AI agent ecosystem for retail.
- Work directly with visionary leaders and founding engineers.
- Build products with real impact that are tested and deployed with Fortune 500 brands.
- Get full exposure to AI, product, customer, and GTM strategy.
Location / Travel:
- This is an onsite role based out of our Mountain View, CA headquarters.You will be expected to work onsite 5 days per week if hired.
What You'll Do:
AI-Native Product Thinking
- Identify and validate customer pain points that are ripe for agent-based automation.
- Own the AI-first product strategy: leverage LLMs, fine-tuning, RAG, and tool use to craft intelligent workflows.
- Design and evaluate product concepts with agentic behavior, personalization, and embedded intelligence.
Rapid Prototyping & Testing
- Create and test AI-driven prototypes, either hands-on or with the support of forward-deployed engineers.
- Drive quick iteration cycles using real customer feedback, eval metrics, and qualitative insights.
- Build a repeatable framework to test and prioritize use cases and agent behaviors.
Customer Discovery & Co-Creation
- Lead deep-dive discovery sessions with senior retail & e-commerce stakeholders.
- Translate ambiguous customer workflows into structured agent-enabled solutions.
- Evangelize concepts early and build conviction with pilot partners.
Use Case Library & Playbooks
- Develop a structured, living library of agent use cases across functions and retailers.
- Create internal playbooks and blueprints for agent design, AI evaluation, and success criteria.
Cross-Functional Execution
- Collaborate closely with Applied AI, Forward Deployed Engineering, Design, and GTM teams.
- Operate as a mini-CEO of your use cases, from exploration to launch and customer adoption
What You'll Bring:
- 6-12 years of experience in product management or equivalent roles (AI prototyping, ML PM, solutions engineer with PM mindset).
- Demonstrated interest in AI: LLMs, RAG, evals, prompt engineering, fine-tuning, etc.
- Hands-on experience with prototyping tools or notebooks (e.g., LangChain, Streamlit, Python, etc.). By no means do you have to be an engineer, but you must have a technical mindset and associated aptitude.
- Strong product intuition and ability to simplify complex systems into compelling UX.
- Experience leading customer conversations, running discovery interviews, and testing early concepts.
- Comfortable with ambiguity, high ownership, and fast-paced 0 to 1 environments.
- Willingness to travel up to 40% for customer immersion and pilots.
- Bachelor's degree, preferably in Business, Computer Science, or a related field
Nice to Haves:
- Background in retail, e-commerce, or SaaS for enterprise workflows.
- Experience building agent-based systems, copilots, or AI assistants.
- Prior startup or incubation team experience.
Compensation and Benefits:
The typical base pay range for this role in Mountain View, CA is: $203,000 - $229,000/per year. This role also qualifies for an annual bonus and initial equity package in the form of stock options.
The indicated base pay range may be inclusive of multiple career levels at CommerceIQ and will be narrowed based on a number of factors including the candidate’s experience, qualifications, and location.
Base salary, bonus, and equity are just one part of your total rewards package at CommerceIQ. You will also receive access to:
- Comprehensive medical, vision, and dental coverage
- A 401(k)-retirement plan
- Short & long-term disability insurance
- Life insurance
- Paid parental leave
- Monthly reimbursements for gym, phone, and internet
- 10+ paid company holidays in each calendar year, quarterly Global Recharge Fridays, and unlimited PTO
Check out our LinkedIn page to learn more about what it’s like to work at CommerceIQ!
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any other category prohibited by applicable law.
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Навыки
- Product Management
- LLM
- RAG
- Prompt Engineering
- Python
- LangChain
- Streamlit
- Machine Learning
- E-commerce
- SaaS
Возможные вопросы на собеседовании
Проверка понимания технических ограничений и возможностей современных ИИ-моделей.
Расскажите о самом сложном случае внедрения RAG или агентной системы в вашей практике: с какими проблемами галлюцинаций или точности вы столкнулись и как их решили?
Оценка способности работать в условиях неопределенности, что критично для инкубационной команды.
Как вы приоритизируете гипотезы для прототипирования в среде 0-to-1, когда данных о рынке еще недостаточно?
Проверка навыков взаимодействия с крупными корпоративными клиентами.
Опишите ваш опыт проведения сессий Discovery с топ-менеджментом Fortune 500. Как вы переводите их абстрактные боли в конкретные технические требования для ИИ-продукта?
Оценка продуктового видения в контексте специфики компании.
Какие ключевые метрики успеха вы бы установили для 'Retailer Copilot' на этапе пилотного запуска с брендом уровня Coca-Cola?
Проверка технической грамотности без привязки к написанию кода.
В каких случаях для автоматизации ритейл-процессов вы бы выбрали тонкую настройку (fine-tuning) модели, а в каких — использование инструментов (tool use) и LangChain?
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- Страна
- США
- Зарплата
- 203 000 $ – 229 000 $