Data Product Associate
Toronto, Ontario
Data /
Full-Time (Hybrid) /
Hybrid
Valence has built the only AI native coaching platform for enterprise, offering personalized, expert, and human-like guidance and support to any leader or employee. We’re not just talking about the future of work — we’re building it now, with the most innovative Fortune 500 companies across healthcare, financial services, manufacturing, and technology.
Our focus is on the problems that actually decide whether AI changes how organizations operate — the ones with no playbook, no obvious answers, and no guarantee of success. If you want to be part of the small group that defines how AI transforms the future at a global scale, this is your chance.
And this isn’t for everyone. We’re not looking for people who want predictability or incremental progress. We only want those who are restless at the edge of what’s possible, who get bored when things feel “done,” and who are driven to redefine what AI can mean for leaders, companies, and the world. Because at Valence, the work worth doing is the kind that redefines work itself.
The Role
In this role you'll be the connective tissue between our product, customer, and data teams. This isn’t a traditional data science role—it’s a fast-paced, high-responsibility role for someone who loves solving messy problems, turning requests into insights, and helping build scalable systems from the ground up. You’ll help define and improve how we triage and fulfill data requests, streamline CS reporting, and surface product insights that drive growth and retention. You’ll work closely with Product, CS, and Engineering to ensure our platform decisions are data-informed and our customer teams are fully equipped with the right information, at the right time.
About Valence
We're the only company pioneering leadership coaching for large enterprises in an AI-first way. Our mission is to transform how the world's biggest companies approach learning and development, helping teams work better together through AI-powered personalization that adapts to individual goals and organizational culture using the latest advances in machine learning and natural language processing.
We've been featured in Harvard Business Review, TIME, World Economic Forum, Financial Times, Forbes and an Inc. 5000 fastest-growing private companies in America. Our clients represent the most diverse and sophisticated enterprise AI implementations globally, including Coca-Cola, Delta, Nestlé, General Mills, ServiceNow, Schneider Electric, Deutsche Telekom, AstraZeneca, Prudential, CVS and Bristol Myers Squibb.
Working at Valence means you'll work directly with Fortune 500 technology leaders, building expertise through the most complex enterprise deployments while gaining insight into diverse organizational approaches to AI transformation. These aren't just any enterprise clients - they're the companies defining what AI-first business transformation looks like across every major industry.
What You'll Do
- Own the analytics backlog for Customer Success and Product, including recurring reporting and usage analysis
- Translate ambiguous requests into structured analysis and action, working directly with CS, EMs, and product leaders
- Build dashboards and recurring reports that drive clarity on feature usage, client engagement, and operational performance
- Write complex SQL queries across varied schemas to extract and transform data
- Use Python or Google Sheets to analyze trends, automate repetitive tasks, and visualize findings
- Improve internal reporting workflows and help standardize the intake and delivery of stakeholder requests
- Collaborate with Product and Engineering to define key metrics, set up tracking requirements, and improve our analytics foundations
- Support a growing data culture by making insights accessible, explainable, and actionable across teams
What We’re Looking For
- 2+ years of experience in a data, product, or business analyst role—ideally in a fast-paced SaaS or AI startup
- Strong SQL proficiency, with experience querying complex, multi-source environments
- Comfortable using Python (Pandas, NumPy) or scripting tools for data manipulation, automation, or lightweight analysis
- Hands-on experience with BI tools like Looker, Tableau, or Power BI, and strong Google Sheets fluency for operational and ad hoc reporting
- Ability to turn complex data into clear narratives, and confidently present insights to both technical and non-technical stakeholders
- Experience collaborating with CS, Product, and executive leaders to scope, prioritize, and execute data needs
- Proven ability to manage competing requests, bring structure to ambiguity, and deliver in cross-functional settings
- Exceptionally organized and detail-oriented, with strong project management instincts
- Self-motivated, adaptable, and resilient—comfortable operating in a fast-moving, early-stage environment
- A growth mindset, with openness to experimentation, feedback, and continuous learning
- Clear motivations for joining a mission-driven, high-performance startup
What you'll get
- Ownership & Rapid Growth
- Outsized missions from day one, with direct responsibility for company-defining projects
- Work alongside the executive team with transparency into strategy and decision-making
- Influence on direction through real-time customer feedback and market insights
- AI-First Operator
- Work directly with cutting-edge AI models and next-generation platforms
- Build expertise in enterprise AI implementation across Fortune 500 companies and multiple industries
- Establish yourself as a recognized leader among peers in shaping how AI transforms work at a global scale
- Compensation
- Competitive salary including base + bonuses
- Comprehensive health coverage (medical, dental, vision) from day one
- Generous PTO, company-wide R&R shutdowns, and paid parental leave
- Retirement plan support for US and global employees
- Equity
- Meaningful ownership in a venture-backed company at a growth inflection point
- Financial upside that comes from scaling fast
- Top-up grants as we scale and you deliver exceptional performance — your compensation grows alongside your impact
- Top-Performing Culture
- A culture built for top talent: intensity to win, growth without limits, and a team that solves hard problems and celebrates big wins together
Learn more about us and meet our team here
Location and Work Environment
This role is 3 days a week (Tues - Thursday) minimum in office in Toronto (Queen & Spadina). Candidates must be comfortable working with colleagues in different time zones (UK), and have valid travel documents without work authorization restrictions in the US.
Diversity and Inclusion
We are dedicated to creating a diverse and inclusive environment where everyone feels valued and supported. We encourage applications from candidates of all backgrounds and offer accommodations upon request throughout the hiring process. If you have any questions, please reach out to Allison Langille, Head of People, at jobs@valence.co.
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