- Страна
- США
- Зарплата
- 108 200 $ – 180 400 $
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Sr. Product Manager - AI & Data Services
Отличная вакансия для опытного PM-а: четко прописанный стек (LLM, RAG, Agentic AI), удаленный формат, прозрачный диапазон зарплаты и социально значимая миссия компании. Высокий балл за современный подход к процессам (AI PDLC) и сильный социальный пакет.
Сложность вакансии
Роль требует редкого сочетания глубоких технических знаний в области LLM/RAG и практических навыков прототипирования, а также опыта управления API и экосистемами партнеров. Высокая планка ответственности за 'AI-first' стратегию в быстроменяющейся среде делает позицию сложной, но перспективной.
Анализ зарплаты
Предложенный диапазон $108k – $180k полностью соответствует рыночным стандартам США для Senior Product Manager в сфере AI/Data. Нижняя граница подходит для кандидатов, переходящих на Senior-уровень, а верхняя — для экспертов с глубоким техническим бэкграундом.
Сопроводительное письмо
I am writing to express my strong interest in the Sr. Product Manager – AI & Data Services position at Bloomerang. With over 7 years of experience in technical product management and a deep focus on building AI-powered SaaS solutions, I am excited by your vision of moving beyond static PRDs toward a 'demo as the spec' culture. My background in developing RAG architectures and managing complex API ecosystems aligns perfectly with your current roadmap for Penny and the broader Bloomerang platform.
In my previous roles, I have consistently bridged the gap between engineering and product by building functional prototypes and leveraging modern AI tools like Cursor and LangChain to accelerate development cycles. I am particularly drawn to Bloomerang’s mission-driven approach and the opportunity to apply agentic AI patterns to help nonprofits maximize their impact. I am confident that my technical intuition and bias for execution will allow me to contribute immediately to your AI strategy and data service foundations.
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Описание вакансии
At Bloomerang, we believe change happens on purpose. We champion the power and potential of nonprofits, igniting next-level impact with the team and technology built for purpose. Our powerful giving platform and stellar support enable tens of thousands of nonprofits to raise more, recruit more, and retain more, fueling maximum impact and raising the bar on what’s possible for the nonprofit sector. That's why, even as the nonprofit sector sees declines in giving, Bloomerang customers raise more year over year.
We're also in the business of creating thriving employees. Join a mission-driven culture built on our core values of Simplify, Care and Act. We know our people are the key to our success, and we're proud to be home to some of the most innovative and skilled individuals in the workforce today. Come feel invigorated and unstoppable with us!
The Role
The Sr. Product Manager – AI & Data Services will play a critical role in bringing Bloomerang’s AI strategy to life. Reporting to the Senior Director of Product Management, this role is responsible for rapidly turning ideas into working AI-powered capabilities that deliver measurable value to nonprofit customers. This is an AI-first, technical product role. We are looking for a true product builder. Someone who operates at the intersection of product, engineering, and design, and is comfortable moving from concept to working prototype to production through hands-on experimentation. You will work horizontally across teams to move quickly from idea → prototype → production → continuous refinement, using modern AI tools and workflows. Working software, prototypes, and real outputs, not static documents, are the primary means of communication and decision-making.
In the near term, this role will also own and support Bloomerang’s public API, first-party connectors to third-party applications, and relationships with external partners building on our platform. Over time, this responsibility will transition to another Bloomerang team. This role also serves as a key connector across the business, coordinating efforts across Product, Engineering, Data, Design, as well as Product Marketing, Customer Success, Support, Sales, etc. to ensure AI capabilities are successfully delivered, adopted, and drive real customer outcomes. You will contribute to shaping product strategy in partnership with product leadership, while maintaining a strong bias toward execution, speed, and continuous learning.
What You Will Do
- Build & Ship Agentic AI: You won’t just write requirements; you’ll turn ideas into working prototypes, agents, and experiments. Partnering with Engineering and AI architects, you'll build systems leveraging LLMs, retrieval (RAG), and orchestration frameworks. You’ll also play a key role in evolving Penny, Bloomerang’s AI Fundraising Assistant, by staying hands-on with emerging AI tech.
- Modernize the AI Product Lifecycle (AI PDLC): We’ve moved beyond the era of 50-page PRDs. You will help shape a lifecycle where the demo is the spec. Using tools like Cursor or Claude Code, you'll produce high-signal outputs—product briefs, prompt designs, and evaluation frameworks—that reduce handoffs and prioritize observed system behavior over static documentation.
- Architect Data & Integration Foundations: AI is only as good as its data. You’ll collaborate with Data and Engineering teams to ensure our AI capabilities are powered by high-quality, governed, and well-structured data services. In the near term, you’ll also oversee our public API and partner ecosystem, ensuring these integrations are robust and ready to support future AI-driven use cases.
- Drive Cross-Functional Execution: As a horizontal leader, you’ll be the "connective tissue" between Engineering, Design, and GTM teams. You’ll coordinate with Product Marketing to position our AI story, and work with Sales and Success to ensure our tools are driving real outcomes for nonprofits—all while ensuring every feature is built with safety, reliability, and scale.
What You Need to Succeed
- 7+ years of product management experience, with strong experience in technical, AI, or data-driven products.
- Proven experience building and shipping AI-powered products in a SaaS environment.
- Hands-on experience creating working prototypes, agents, or workflows using modern AI tools.
- Strong understanding of LLMs, RAG architectures, and emerging agentic patterns.
- Experience working with APIs, integrations, and distributed systems, including external partner ecosystems.
- Experience working with data systems and understanding how data quality impacts AI outcomes.
- Demonstrated ability to operate as a builder, combining product thinking with technical and design intuition.
- Experience collaborating across both technical and go-to-market teams (e.g., Product Marketing, Sales, Customer Success, Support).
- Comfort operating in a fast-moving, ambiguous environment with evolving tools and practices.
- Strong collaboration and communication skills across diverse stakeholders.
- A strong bias for action, ownership, and continuous improvement.
Nice to Haves But Not Required
- Experience with tools such as Claude Code, Cursor, or similar AI development environments.
- Familiarity with frameworks such as LangChain, AutoGen, CrewAI, or similar.
- Experience supporting developer platforms, APIs, or integration ecosystems.
- Exposure to evaluation frameworks for AI systems (e.g., prompt testing, output quality measurement).
- Experience with data governance, data quality, or analytics platforms.
- Background in nonprofit technology, CRM, or fundraising software.
Benefits
Health + Wellness
You’ll have access to generous health, vision, and dental insurance options as well as HealthiestYou, a healthcare service that offers convenient, confidential access to quality doctors 24/7, anytime, anywhere.
Time Off
You'll get a competitive PTO package that includes 20 PTO days, 3 flex days, 4 optional volunteer days, 12 paid holidays, as well as paid parental leave. More is more!
401kYou'll receive a 401k match to help invest in your future.
Equipment
Everything you need to be successful, shipped right to your door. You got this. We got you.
Compensation
The salary range for this position is $108,200 - $180,400. You may also be eligible for a discretionary bonus. Actual compensation within the range will be dependent on your skills, experience, qualifications, and location, as well as applicable employment laws
Location
This is a permanent, full-time, fully remote position (within the U.S. and select Canadian Provinces only). Employees living in Indianapolis, IN are welcome to work from our company headquarters. We do not offer Visa sponsorship or relocation assistance at this time.
AccommodationsApplicants who require accommodations may contact careers@bloomerang.com to request an accommodation in completing an application.
Bloomerang is an Equal Opportunity Employer. Individuals seeking employment at Bloomerang are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation.
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Навыки
- Product Management
- Artificial Intelligence
- Python
- LLM
- SaaS
- RAG
- API
- Data Governance
- Prototyping
- LangChain
Возможные вопросы на собеседовании
Проверка практического опыта работы с современными AI-инструментами и понимания их ограничений.
Расскажите о самом сложном случае внедрения RAG-архитектуры: с какими проблемами качества данных вы столкнулись и как их решили?
Оценка способности кандидата работать в новой парадигме 'demo as the spec', заявленной в вакансии.
Как вы организуете процесс передачи требований разработке, если вместо классических PRD используются работающие прототипы и промпт-дизайн?
Вакансия подразумевает временное владение публичным API и интеграциями.
Каков ваш опыт управления жизненным циклом публичных API и как вы планируете обеспечивать их стабильность при внедрении новых AI-функций?
Проверка навыков оценки эффективности AI-решений.
Какие метрики и фреймворки вы используете для оценки качества ответов LLM и работы агентов в продакшене?
Оценка лидерских качеств в кросс-функциональной среде.
Опишите ситуацию, когда вам нужно было убедить стейкхолдеров из GTM-команд (продажи/маркетинг) в ценности сложного технического AI-продукта. Как вы выстраивали коммуникацию?
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- Страна
- США
- Зарплата
- 108 200 $ – 180 400 $