- Страна
- США
- Зарплата
- 120 000 $ – 240 000 $
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Agent Product Manager (Founding Team)
Исключительная возможность для карьерного роста: работа в 'Founding Team' быстрорастущего стартапа с инвестициями $50 млн от топовых фондов (General Catalyst, Bessemer). Высокая зарплата, опционы и работа над передовыми ИИ-технологиями делают вакансию крайне привлекательной.
Сложность вакансии
Высокая сложность обусловлена ролью в 'Founding Team', необходимостью совмещать глубокую техническую экспертизу (LLM, API, SQL) с навыками управления крупными корпоративными клиентами и готовностью работать в условиях высокой неопределенности стартапа.
Анализ зарплаты
Предлагаемая зарплата ($120k–$240k) полностью соответствует и даже превышает рыночные стандарты для Product Manager в Сан-Франциско и Нью-Йорке, особенно учитывая стадию стартапа и наличие опционов. Верхняя граница диапазона характерна для Senior/Lead позиций в Tier-1 компаниях.
Сопроводительное письмо
I am writing to express my strong interest in the Agent Product Manager position at Pallet. With a background in managing complex technical deployments and a deep fascination with the potential of LLMs to transform traditional industries, I am drawn to Pallet’s mission of automating the $12 trillion logistics sector. My experience in bridging the gap between technical engineering teams and executive stakeholders aligns perfectly with the 'connective tissue' role described in your posting.
In my previous roles, I have successfully led end-to-end customer discovery and translated messy operational workflows into structured, scalable product requirements. I thrive in high-stakes, ambiguous environments and have a proven track record of maintaining executive trust while navigating the technical challenges of API integrations and system behaviors. I am particularly excited about the opportunity to help build the deployment playbook for CoPallet and work alongside a world-class team from Google, DoorDash, and YC.
I am confident that my technical acumen, combined with my experience in customer-facing product roles, will allow me to make an immediate impact on Pallet’s enterprise growth. I look forward to the possibility of discussing how my skills can support your mission to build the next $10B company in logistics.
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Описание вакансии
About Pallet
Pallet is building AI Agents to transform logistics — a $12 trillion global industry. We’ve raised $50M from top investors, including General Catalyst, Bessemer Venture Partners, and Bain Capital Ventures. In under two years, we’ve achieved 700% revenue growth and are just getting started.
Our mission is to increase the efficiency of the global supply chain by automating the manual workflows that slow logistics teams down — from scheduling and appointment setting to data entry and load management. Our flagship platform provides end-to-end visibility, control, and optimization, while our newest product, CoPallet, introduces AI Agents that can understand and execute requests in real time, and integrate directly with customer systems.
As logistics providers look to generative AI to drive efficiency, many are turning to Pallet to lead the way. With deep industry expertise and cutting-edge AI capabilities, we’re positioned to build the next $10B company in logistics.
Join us and work alongside leaders from Google, DoorDash, YC, and more to shape the future of logistics tech.
About the Role
As Pallet scales into larger, more complex enterprise and mid-market customers, deployments become higher-stakes: more stakeholders, evolving requirements, real change management, and real consequences if things break.
The Agent Product Manager owns customer deployments end-to-end, from discovery and workflow design through execution, go-live, and long-term success. You are the connective tissue between customers, Forward Deployed Engineers, Product, Sales, and Success. You ensure customers feel confident, informed, and supported, even as workflows, product capabilities, and internal processes continue to evolve.
This is a highly client-facing, high-ownership role for senior operators who thrive under pressure and ambiguity.
Why This Role Is Different
You won’t inherit a playbook, you’ll help build it. This role owns enterprise deployments end-to-end, translating messy real-world operations into live AI agent workflows. You’ll work directly with executives, shape how CoPallet scales, and play a defining role in how customers come to trust AI in mission-critical systems.
How You’ll Make an Impact
- Serve as the executive point of contact for customer deployments and long-term success
- Lead customer discovery to understand workflows, constraints, and success criteria
- Translate complex business processes into executable AI agent workflows
- Partner with Forward Deployed Engineers to validate assumptions and execute technically
- Configure, test, and release agent configurations for customer use cases
- Own deployment plans, timelines, risks, and stakeholder communication
- Lead customer kickoffs, milestone reviews, QBRs, and executive updates
- Proactively manage scope changes, escalations, and expectation-setting
- Improve and scale onboarding and deployment processes over time
- Travel for key customer milestones and kickoffs as needed (~25%)
What Success Looks Like
- Customers have clearly defined, executable workflows aligned to their business reality
- Deployments stay on track despite ambiguity, changing requirements, or complexity
- Executives feel informed, confident, and trust Pallet as a long-term partner
- Internal teams are aligned, accountable, and coordinated around customer outcomes
- Deployment processes become more repeatable and scalable without sacrificing quality
What You’ll Bring
- 4+ years in customer-facing roles (Product, Engagement, Consulting, Founder, etc.)
- Strong technical acumen: able to reason about workflows, APIs, and system behavior
- Comfort operating in fast-moving, ambiguous environments
- Excellent written and verbal communication skills
- Experience managing multiple concurrent, high-stakes projects
- Familiarity with LLMs, APIs, JSON
- Strong Excel / PPT skills
- SaaS experience
- Basic SQL literacy
Nice to Have
- Technical degree (CS, Engineering, Math) or equivalent experience
- Experience with AI-driven or workflow automation products
Location & Logistics
- In Person based in our San Francisco office or NYC office
- Travel required for major customer milestones
- Interviewing: Remote with final in-person round
Compensation
- $120k–$240k base salary, depending on level and experience
- Competitive equity and full benefits package
Benefits
🩺 Health, vision, and dental
🏝️ Flexible PTO
💸 Competitive salary + equity
🪜 401(k)
📚 Annual learning & development stipend
🚌 Commuter benefits (Bay Area)
🚘 Uber ride stipend for late office nights
🏡 Remote office stipend
🍔 Daily catered lunches via Sharebite
✈️ Onboarding trip to SF HQ for remote employees
🥤 Monthly happy hours
🎉 Annual company offsites (last one: Palm Springs 🌴)
Interview Process
- Chat with Recruiter (30 min)
- Chat with Member of the Team (45 min)
- Chat with Hiring Manager (45 mins)
- Final Interview Loop (3 hours)
- Background & reference checks
We move fast and keep candidates informed at every stage.
Pallet is proud to be an Equal Employment Opportunity and Affirmative Action employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
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Навыки
- Product Management
- Excel
- LLM
- SaaS
- SQL
- PowerPoint
- API
- JSON
- Workflow Automation
Возможные вопросы на собеседовании
Роль требует перевода хаотичных процессов в логике ИИ. Важно понять, как кандидат структурирует информацию.
Опишите случай, когда вам пришлось переводить сложный, неструктурированный бизнес-процесс клиента в техническое решение. С какими трудностями вы столкнулись?
Продукт находится на ранней стадии, и ожидания клиентов могут не совпадать с реальностью.
Как вы управляете ожиданиями стейкхолдеров уровня C-suite, когда техническая реализация сталкивается с непредвиденными ограничениями ИИ-моделей?
Вакансия предполагает работу с API и JSON. Проверка технической грамотности.
Представьте, что ИИ-агент не может корректно интегрироваться с клиентской TMS через API. Как вы будете диагностировать проблему вместе с инженерами?
Это роль в команде основателей, где процессы еще не созданы.
Какие шаги вы предпримете в первые 30 дней, чтобы начать стандартизировать процесс внедрения (onboarding) для новых корпоративных клиентов?
Логистика — отрасль с высокими ставками. Ошибка может стоить дорого.
Расскажите о ситуации, когда проект находился под угрозой срыва. Как вы приоритизировали задачи и коммуницировали риски клиенту?
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- Страна
- США
- Зарплата
- 120 000 $ – 240 000 $