Senior Product Manager, Data Signals
About The Position
Superhuman offers a dynamic hybrid working model for this role. This flexible approach gives team members the best of both worlds: plenty of focus time along with in-person collaboration that helps foster trust, innovation, and a strong team culture. About Superhuman Grammarly is now part of Superhuman, the AI productivity platform on a mission to unlock the superhuman potential in everyone. The Superhuman suite of apps and agents brings AI wherever people work, integrating with over 1 million applications and websites. The company's products include Grammarly's writing assistance, Coda's collaborative workspaces, Mail's inbox management, and Go, the proactive AI assistant that understands context and delivers help automatically. Founded in 2009, Superhuman empowers over 40 million people, 50,000 organizations, and 3,000 educational institutions worldwide to eliminate busywork and focus on what matters. Learn more at superhuman.com and about our values here. The Opportunity The best product experiences feel like they were made just for you. At Superhuman, that's not magic — it's signals. We're hiring a Product Manager for our Data Signals team, the engine behind how Superhuman learns from its users and adapts to them. You'll build the service that lets every product team tap into our rich data ecosystem to personalize experiences, sharpen AI outputs, and deliver moments that feel individual and relevant — at the right time, in the right context. This is a technical, high-leverage role at the intersection of data infrastructure and product craft. You'll work across the stack, partnering with engineers, data scientists, and product teams to define what signals matter, how they're surfaced, and how they power the next generation of Superhuman's AI-driven experiences. Ownership In This Role, You Will: Own the roadmap for our Data Signals platform in partnership with our experienced data engineering team members Partner closely with nearly every AI product team at Superhuman to help make their product experiences more contextual and delightful Translate complex data capabilities into simple, intuitive experiencesdoc Define success metrics, run experiments, and use data to validate product decisions and communicate impact
Requirements
- 5+ years in product management, with experience in AI products, data, or growth, in a B2B SaaS environment.
- Strong analytical fluency — comfortable with SQL, data modeling concepts, and close collaboration with data engineers.
- Experience shipping products that serve customers at scale.
- Demonstrated ability to take ambiguous problems from insight to shipped product with minimal oversight.
- Analytical Rigor: You think in metrics and pipelines. You can identify the "gold spots" in messy data, set crisp KPIs, and translate findings into clear product direction.
- Enterprise Empathy: You understand the distinct needs of.
- AI-First Operator: You embed AI into daily workflows, rituals, and decision-making. You model fluency, curiosity, and visible use of AI to raise the bar for speed, quality, and customer impact.
- Extreme Ownership: You act as if you are 100% responsible for your own outcomes as well as the outcomes of the company. You do this without stepping on toes.
- Results Driven: You work tirelessly in pursuit of your results; you quickly take the initiative and own it when results are off; you course-correct and get scrappy if necessary.
- Low Ego: You put the company ahead of yourself. Most of our discussions are about results and how to amplify success.
- Has a demonstrated ability to work independently with minimal guidance, proactively manages tasks and priorities across multiple projects, analyzes and executes work efficiently, collaborates effectively with cross-functional teams, and thrives in fast-paced, results-driven environments.
Responsibilities
- Own the roadmap for our Data Signals platform in partnership with our experienced data engineering team members
- Partner closely with nearly every AI product team at Superhuman to help make their product experiences more contextual and delightful
- Translate complex data capabilities into simple, intuitive experiencesdoc
- Define success metrics, run experiments, and use data to validate product decisions and communicate impact
Benefits
- Excellent health care (including a wide range of medical, dental, vision, mental health, and fertility benefits)
- Disability and life insurance options
- 401(k) and RRSP matching
- Paid parental leave
- 20 days of paid time off per year, 12 days of paid holidays per year, two floating holidays per year, and flexible sick time
- Generous stipends (including those for caregiving, pet care, wellness, your home office, and more)
- Annual professional development budget and opportunities
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
