Sr. Product Manager at AppDirect

Montreal, Quebec, Canada -

Full Time

Start Date

Immediate

Expiry Date

24 Mar, 26

Salary

0.0

Posted On

24 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Product Management, Data Analysis, AI Strategy, Cross-Functional Collaboration, Stakeholder Communication, Customer Engagement, Prototyping, SQL, Python, Data Fundamentals, Cloud Platforms, Data-Driven Decision-Making, User Empathy, Communication Skills, Technical Requirements, AI/ML Lifecycle, Mock-Ups

Industry

IT Services and IT Consulting

Description

Pour la version française de cette description de poste, veuillez consulter le lien suivant / For the French version of this job description, please refer to the following link : Chef.fe de produit senior About AppDirect Become a digital, global citizen and enable the new generation of digital entrepreneurs around the world. AppDirect offers a subscription commerce platform to sell any product, through any channel, on any device - as a service. We power millions of subscriptions worldwide for organizations. We do this by our values-driven culture - one that enables you to Be Seen, Be Yourself, and Do Your Best Work. We’re on the hunt for an accomplished Product Manager, Intelligence—someone with a founder’s mindset who sees opportunity where others see “just data.” Armed with our one-of-a-kind datasets and AI expertise, you’ll boldly define the future of data-driven solutions, leading everything from high-level strategy to hands-on technical design. You’ll partner deeply with engineering to architect groundbreaking features, guide cross-functional teams and customers around your compelling vision, and empower our customers to leverage insights and automations that make them 10× more productive—delivering undeniable business impact with every release. What you'll do and how you'll have an impact Product Management: Lead the lifecycle of data and AI products from conception through launch and iteration. Develop and maintain a clear product roadmap to expand our AI product offerings and integrate advanced data solutions into our portfolio. Data Analysis: Leverage your understanding of data fundamentals to make sense of large and complex datasets. Utilize data-driven insights to inform product decisions, prioritize features, and measure product success. AI Strategy & Innovation: Translate cutting-edge AI research (e.g., LLMs, transformers, reinforcement learning) into real, scalable SaaS features. Partner with your team to turn prototypes into production-ready capabilities. Cross-Functional Collaboration: Work closely with engineering teams to understand technical requirements and challenges. Translate detailed AI/ML concepts into actionable product specifications and ensure successful implementation. Stakeholder Communication: Effectively communicate product vision, strategy, and progress to non-technical stakeholders, including executives and customers. Gather and prioritize feedback to align product development with market needs. Customer Engagement: Engage with customers to understand their needs, gather feedback, and ensure our data and AI products meet or exceed their expectations. Develop strategies to enhance customer satisfaction and product adoption. Vibe Coding & Prototyping: Rapidly prototype ideas and workflows to validate concepts before committing to detailed epics or specs. You’ll leverage low-code and collaborative tools to build mock-ups, proofs-of-concept, and interactive demos. What we're looking for 5+ years as a Product Manager focused on data, analytics, or AI products within a B2B SaaS environment. Bachelor’s degree in Computer Science, Data Science, Engineering, or a closely related field; advanced degree a plus. Proven track record of shipping data-driven and AI-powered products that solve real customer problems and drive measurable adoption. Experience across the AI/ML lifecycle—from data acquisition and model training to deployment and monitoring. Strong understanding of data fundamentals, including data modeling, data integration, ETL pipelines, and analytics. Familiarity working with cloud platforms such as AWS, Azure, and Google Cloud, particularly in the context of enterprise SaaS or cloud marketplaces Experience with data analysis and data-driven decision-making, including identifying data requirements for AI solutions and ensuring responsible, ethical data use. Proficiency in SQL and Python/R for exploring large datasets, building dashboards (Looker, Tableau), and conducting A/B experiments. Strong user empathy and the ability to tell an exceptional story through design choices and data narratives. Excellent verbal and written skills, with the ability to translate complex AI concepts into clear business value for stakeholders at all levels. Demonstrated ability to work effectively with cross-functional teams (engineering, data science, UX, go-to-market) and translate technical requirements into user-friendly solutions. You will stand out Proven track record of successfully taking an AI/ML model from initial prototype (PoC) to a production-ready, highly-adopted, and scaled commercial feature Proven experience in monetizing data or packaging intelligence into premium product tiers, leading to measurable revenue growth Practical experience building quick mock-ups or automations in tools like Replit, Lovable.dev, Windsurf or similar low-code/no-code platforms. Experience working with large language models (e.g., OpenAI GPT, Claude 3.7 Sonnet, Grok, Gemini, etc) Familiarity with prompt engineering, large language model tuning, AI ethics frameworks, and bias mitigation techniques Familiarity with machine learning frameworks and tools, such as TensorFlow, PyTorch, scikit-learn, or Keras. Familiarity with MLOps platforms: AWS Bedrock, MLflow, Databricks, Google Cloud Vertex AI, AWS SageMake, or equivalent for model training, deployment, and monitoring. Cloud or AI/ML certification (e.g., AWS ML Specialty, Google ML Engineer) At AppDirect, we believe that innovation thrives in an environment that houses diversity of excellence, experience and thought. We respect each AppDirector as their own fingerprint; unique with no one alike. We foster an environment of inclusion without regard to race, religion, age, sexual orientation, or gender identity enabling AppDirectors to embrace their uniqueness to do their best work. As such, we strongly encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities, and/or people with intersectional identities.

Responsibilities

Lead the lifecycle of data and AI products from conception through launch and iteration. Engage with customers to understand their needs and ensure our products meet or exceed expectations.