Wootitude

About the Project
 

Our client is a state-of-the-art market research automation platform that empowers researchers at consumer brands and agencies by giving them actionable data faster and more affordably than traditional full-service research models. The product is well established, with top-tier existing clients and a fast-growing business. The client has been recognized among the Inc. 5000 Fastest-Growing Private Companies and Inc. Best Places to Work.

We are looking for an experienced and driven Product Manager to join the client's Product Strategy team on an outstaff basis. You will help shape and drive the development of the platform, working closely with cross-functional and international teams to ensure product features meet client needs.
 

Responsibilities

• Support the execution of product vision and strategy in collaboration with senior product leaders
• Partner with internal teams and occasionally engage with external stakeholders to gather feedback and insights
• Conduct market and competitive research to deepen understanding of customer needs and inform product decisions
• Help define and prioritize product features based on user feedback, research, and business needs
• Contribute to evaluating how new features may impact key product or business metrics
• Write and maintain product documentation, including user stories, acceptance criteria, and feature requirements
• Work closely with engineering and design to ensure timely, high-quality delivery of product features
• Collaborate with cross-functional partners in research, marketing, sales, and client-facing roles to support product development and launch activities
• Contribute to go-to-market efforts for new feature releases, coordinating with relevant teams
• Track product performance and gather user feedback to identify areas for improvement
• Stay informed on industry trends and user needs to help shape product enhancements
   

Requirements

• 3 + years of product management experience, or equivalent experience in a related role (research ops, product ops, project management, or UX research)
• Some experience or strong interest in market research — quantitative and/or qualitative; a market research background is a plus
• Bachelor's degree or equivalent experience in market research, business, technology, or a related field
• Good knowledge of Generative AI and prompt engineering skills
• Demonstrated ability to contribute to product development and collaborate effectively on cross-functional teams
• Strong written and verbal communication skills, with the ability to clearly document and share ideas
• Analytical and problem-solving mindset with attention to detail
• Organized, able to manage multiple tasks in a fast-paced environment
• Exposure to or familiarity with agile development methodologies
• Eagerness to learn, collaborate, and grow in a supportive team environment
• Naturally curious, empathetic, and proactive, with a collaborative spirit
• Remote work experience is preferred, but not required

Our client is a Canadian financial services company undergoing significant growth and modernization of its data ecosystem. The team is building a scalable cloud-based data platform that will serve as a foundation for analytics, reporting, and data-driven decision-making across the organization.
 

You will join the Core Data Platform team and take ownership of designing and developing enterprise-grade data solutions.

Responsibilities

• Design and implement scalable data models in Snowflake.
• Build, optimize, and maintain ELT/ETL pipelines using dbt.
• Develop and support workflow orchestration using Airflow or Dagster.
• Write clean, reusable, and maintainable Python code for data processing and monitoring.
• Collaborate with Tech Leads, analysts, and business stakeholders to define requirements and deliver solutions.
• Participate in architecture discussions and drive technical decisions.
• Ensure high code quality through reviews, testing, documentation, and CI/CD practices.
• Work with cloud-native services across AWS and Azure environments.
• Contribute to metadata management, logging, monitoring, and production support.

Must Have

• 7+ years of experience in Data Engineering.
• Strong hands-on experience with Python and advanced SQL.
• Experience with Apache Spark or similar large-scale data processing frameworks.
• Solid experience with workflow orchestration tools (Apache Airflow or Dagster).
• Strong expertise in Snowflake and enterprise data warehouse architectures.
• Experience designing secure data platforms, including:
  • data security implementation;
  • access control;
  • data masking policies;
  • handling sensitive and PII data.
• 3+ years of experience with cloud platforms (AWS, Azure, or GCP).
• Experience building and maintaining CI/CD pipelines.
• Strong understanding of software engineering best practices, testing, and documentation.
• Ability to work independently and take ownership of end-to-end delivery.
• Excellent communication skills and experience working directly with stakeholders.
• Upper-Intermediate/Advanced English level (C1).

Nice to Have

• Experience with Data Mesh architecture.
• Experience with Snowflake UniStore and Hybrid Tables.
• Infrastructure as Code experience (Terraform, Ansible).
• Experience working in the financial domain.
• AWS certifications.

Tech Stack

• Snowflake
• dbt Core / dbt Cloud
• Apache Airflow / Dagster
• Python
• SQL
• Apache Spark
• AWS, Azure
• Terraform
• GitHub Actions

Interview Process

• HR Interview
• Technical Interview
• Short video introduction (2–3 minutes)
• Client Interview