As a Senior Technical Product Manager, you'll play a critical role in shaping Coveo’s data and machine learning infrastructure. Our AI-powered platform relies on cutting-edge data acquisition, processing, and storage architectures to deliver intelligent, real-time experiences to end-users. Your mission? Define a technology vision and roadmap to propel our platform into the future.
If you're excited about enabling teams to build the right solutions, collaborating across foundational R&D units, and equipping product teams with the data capabilities they need to push our competitive edge, let’s talk!
Here’s what makes this opportunity exciting:Coveo is a leader in AI-driven relevance, helping global enterprises optimize digital experiences. Our Data Platform ingests vast amounts of data, transforms it into actionable insights, and fuels our AI-powered solutions. In this role, you will drive innovation, scalability, and cost-effectiveness across our data stack, impacting the entire organization.
If you’re passionate about bridging the gap between data, ML, and business impact, this is your chance to make a real difference!
Here’s what you’ll be responsible for:- Defining and driving the product roadmap for Coveo’s Data Platform, ensuring alignment with business goals and technical vision.
- Researching industry trends and customer needs to inform product decisions and prioritize impactful initiatives.
- Collaborating with internal stakeholders—engineering, product, and business teams—to provide reliable and scalable data solutions.
- Partnering with Product Marketing and Customer Success to effectively communicate data changes and mitigate customer impact.
- Advocating for data self-serve models and data platform capabilities that empower teams across Coveo.
- 5+ years of product management experience in a SaaS environment, with deep expertise in data ingestion pipelines, data platforms, cloud solutions (ideally AWS), and data infrastructure.
- Familiarity with cloud-based data storage, transformation, and governance solutions such as Snowflake or Databricks.
- Strong analytical mindset, with the ability to define and measure success through data-driven metrics, and excellent communication skills, enabling alignment between technical and non-technical stakeholders.
- You thrive in a fast-paced, innovative environment and excel at translating technical challenges into strategic opportunities.
- You have hands-on experience with large-scale data processing, data workflows, or AI-driven analytics.
- You’re passionate about fostering collaboration between data teams, engineers, and business leaders.
Do you think you can bring this role to life?
You don’t need to check every single box, we know passion goes a long way, and we appreciate that skillsets are transferable. We want to hear from you! Join the Coveolife!
We encourage all qualified candidates to apply, regardless of age, gender, disability, gaps in CV, or national or ethnic background. We know that applying for a new role takes time, and we truly appreciate your effort.
#li-hybrid #li-remote
Top Skills
Similar Jobs
What you need to know about the Montreal Tech Scene
Key Facts About Montreal Tech
- Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
- Major Tech Employers: SAP, Google, Microsoft, Cisco
- Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
- Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
- Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
- Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal