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Senior Product Manager
Исключительная возможность поработать в стартапе, основанном выходцами из Google, над передовыми технологиями AI-агентов. Высокий балл за счет сильной команды, наличия опционов и работы в самом востребованном секторе рынка.
Сложность вакансии
Высокая сложность обусловлена необходимостью сочетать глубокую техническую экспертизу в области AI (эмбеддинги, галлюцинации, поиск) с сильными навыками коммерческой стратегии и ценообразования в B2B.
Анализ зарплаты
Для позиции Senior Product Manager в сфере AI/ML в районе Пало-Альто рыночный диапазон обычно составляет $180,000–$240,000. Предложение Vectara включает опционы, что является стандартной и потенциально очень прибыльной практикой для стартапов такого уровня.
Сопроводительное письмо
I am writing to express my strong interest in the Senior Product Manager position at Vectara. With over five years of experience in B2B SaaS and a deep fascination with neural information retrieval, I have closely followed Vectara’s progress in building a governed and auditable AI agent platform. My background in bridging the gap between complex engineering capabilities and commercial strategy aligns perfectly with your need for a leader who can refine pricing models while maintaining technical depth.
In my previous roles, I have successfully led cross-functional teams to launch enterprise-grade products, focusing on balancing technical trade-offs like latency and accuracy with market-driven pricing strategies. I am particularly drawn to Vectara’s mission of providing high-accuracy, grounded AI, and I am eager to bring my expertise in competitive intelligence and GTM execution to help scale your platform. Being based near Palo Alto, I look forward to the opportunity to represent Vectara in person and collaborate closely with your world-class engineering team.
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Откликнитесь в vectara уже сейчас
Присоединяйтесь к команде экспертов из Google и создавайте будущее корпоративных AI-агентов в Vectara!
Описание вакансии
Vectara is the Enterprise Agent Platform that enables businesses to build and deploy governed, grounded, auditable AI agents across SaaS, VPC, and on-prem. We have developed our own models, observability and orchestration layers, guardrails, and context management systems in order to provide our customers with the greatest levels of AI agent accuracy, security, and explainability.
Our founding members include industry veterans and experts in neural information retrieval and distributed systems from Google. We’re a passionate team that’s hyper-focused on solving enterprise-level technology and business problems with AI. Join us!
Role Overview:
Vectara is looking for a Product Manager to bridge the gap between our technical capabilities and our commercial success. This is a high-impact, cross-functional role for someone who can navigate the space between Product, Sales, and Engineering.
You will be responsible for translating market signals into a concrete roadmap and ensuring our go-to-market strategy—specifically around pricing and positioning—is as sophisticated as the AI we build. We need a leader who is comfortable representing the product directly to customers and refining our competitive edge in a rapidly evolving market.
Responsibilities:
- Product Strategy & Execution: Lead priority initiatives from initial concept through to market delivery. You will align customer requirements and competitive trends with our long-term company goals.
- Commercial Strategy: Own the evolution of our packaging and pricing models. You’ll define value metrics and tiering strategies that improve deal consistency and monetization.
- Customer Engagement: Act as the product lead in key customer conversations and discovery sessions. You’ll validate our value proposition in real-time and communicate our product direction with authority.
- Competitive Intelligence: Maintain an expert-level understanding of the AI landscape, especially around AI agents. You will turn these insights into actionable product decisions and sharper positioning for our sales team.
- Cross-Functional Alignment: Serve as the primary point of coordination between Engineering, Sales, and Marketing. You will ensure that product launches are well-supported, internal stakeholders are aligned, and technical trade-offs are clearly understood by the business.
- Technical Translation: Work closely with our AI and engineering teams to ensure our product remains enterprise-ready, focusing on critical factors like accuracy, security, and latency.
Qualifications:
- 5+ years in Product Management (or equivalent experience) in B2B SaaS / enterprise software; experience with AI/ML products strongly preferred.
- Located near Palo Alto and able to participate in customer meetings in-person when needed; comfortable being a visible product representative externally.
- Strong business and GTM instincts: experience shaping strategy, packaging, and pricing; understands how products are sold and adopted in enterprise contexts.
- Technical enough to collaborate effectively with engineers and AI teams—can discuss concepts like retrieval, embeddings, evaluation, hallucinations, latency, cost-to-serve, and deployment models without needing to be an ML researcher.
- Track record of driving cross-functional alignment across Product/Engineering/Sales/Marketing with excellent written and verbal communication.
- Comfortable operating in ambiguity: can create structure, prioritize ruthlessly, and keep teams moving without perfect information.
- Bonus: familiarity with semiconductor / hardware-adjacent industries or enterprise buyers (e.g., manufacturing, defense, regulated industries).
- Bonus: prior experience in competitive markets against modern AI startups, search, knowledge management, or enterprise platforms.
Location requirements:
We support remote applicants from all over the US but candidates who can come to the office 2-3 days a week in our Palo Alto office are preferred.
Perks and Benefits:
100% paid Medical, Dental, Vision for employees. Option of Health Savings Account (HSA) or Flexible Savings Account (FSA). Generous paid time off (PTO) plus paid sick time and holidays. Professional development and training opportunities. Company virtual happy hours and fun team building activities and more.
Salary is just one component of Vectara’s employee compensation. Our full-time employees are also equity owners in the company, which although not an immediate cash component, can have positive impacts on long-term total compensation for each participating employee. We would be remiss if we didn’t highlight and celebrate our focus on engaging many of our employees in being economic co-owners of the business.
Vectara welcomes all. We value the collective wisdom of people from different backgrounds, experiences, abilities and perspectives. We never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. Vectara has a positive and supportive culture—we look for people who are inventive and work to be a little better every single day. We seek to be smart, humble, hardworking and, above all, curious. After all, we are on a mission to find meaning.
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Навыки
- Product Management
- Artificial Intelligence
- Machine Learning
- Product Strategy
- Information Retrieval
- Go-to-Market Strategy
- Pricing Strategy
- Competitive Intelligence
- B2B SaaS
Возможные вопросы на собеседовании
Проверка понимания специфики продукта компании и умения работать с техническими ограничениями AI.
Как бы вы сбалансировали требования клиентов к точности ответов AI-агента и технические ограничения по задержке (latency) и стоимости обслуживания (cost-to-serve)?
Вакансия делает упор на коммерческую стратегию и упаковку продукта.
Опишите ваш опыт разработки моделей ценообразования для сложных корпоративных SaaS-продуктов. Какие метрики ценности вы считаете наиболее эффективными для AI-платформ?
Роль требует активного участия в продажах и общении с крупными заказчиками.
Расскажите о случае, когда вам пришлось представлять сложный технический продукт клиенту из регулируемой отрасли (например, финансы или оборона). Как вы адаптировали сообщение?
Vectara работает в высококонкурентной среде современных AI-стартапов.
Как вы проводите конкурентный анализ в быстро меняющейся области генеративного AI и как превращаете эти данные в конкретные изменения в дорожной карте продукта?
Проверка навыков приоритизации в условиях неопределенности, характерных для стартапа.
Как вы принимаете решения о приоритизации фич, когда у вас есть противоречивые сигналы от отдела продаж и инженерной команды при отсутствии полных рыночных данных?
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