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About the Role

Lead the data science strategy and team for a core AI-native product, shaping how data informs product direction, investment decisions, and user experience. Partner closely with Product, Engineering, Design, GTM, and company leadership to unlock growth and deliver measurable impact. Build and mentor a high-performing data science team, guiding them in tackling high-impact product, growth, and business questions, developing rigorous experimentation and measurement practices, and ensuring decisions are grounded in deep user understanding and clear business outcomes. This role offers the opportunity to work on a product used by millions, collaborate with a globally distributed and cross-functional team, and apply the latest technologies to shape the future of AI-powered productivity. Ideal for a leader energized by building in fast-moving environments, raising analytical rigor, and developing exceptional teams, capable of moving fluidly between vision and execution.

Responsibilities

Lead data science strategy and team for a core product
Shape how data informs product direction, investment decisions, and user experience
Partner with Product, Engineering, Design, GTM, and company leadership to unlock growth and deliver measurable impact
Build and mentor a high-performing data science team
Guide the team in tackling high-impact product, growth, and business questions
Develop rigorous experimentation and measurement practices
Ensure decisions are grounded in deep user understanding and clear business outcomes
Influence roadmap decisions and shape product strategy
Drive measurable business outcomes
Coach senior talent and elevate team performance
Create an inclusive environment for team members
Influence executives and align cross-functional stakeholders around data-informed decisions
Operate with high autonomy and manage ambiguity effectively
Move seamlessly between long-term strategy and day-to-day execution

Requirements

10+ years of experience in data science, analytics, experimentation, or a related quantitative field, including significant experience leading high-performing teams
Proven track record of setting data science strategy for product-led or growth-focused organizations and translating business goals into clear analytical priorities
Deep expertise in experimentation, causal inference, statistical analysis, and measurement frameworks, with strong judgment on how to apply rigor in fast-moving product environments
Strong fluency in SQL, R, Python, and/or modern data tooling, with the ability to guide teams on analytical best practices, data quality, and scalable measurement approaches
Experience partnering closely with Product, Engineering, Design, and GTM leaders to influence roadmap decisions, shape product strategy, and drive measurable business outcomes
Track record of coaching senior talent, elevating team performance, and creating an inclusive environment where individuals can do their best work
Exceptional written and verbal communication skills, including the ability to influence executives and align cross-functional stakeholders around data-informed decisions
Keen eye and attention to detail for the visual display of quantitative information
Strong product sense and business judgment, with the ability to connect user behavior, company strategy, and commercial outcomes
Ability to operate with high autonomy, manage ambiguity effectively, and move seamlessly between long-term strategy and day-to-day execution

Skills

SQL
R
Python
Modern data tooling
Experimentation
Causal inference
Statistical analysis
Measurement frameworks
Analytical best practices
Data quality
Scalable measurement approaches
Written communication
Verbal communication
Product sense
Business judgment
Strategic thinking
Hands-on execution
Analytical rigor
Team development
Coaching senior talent
Influencing across functions
Managing ambiguity

Location

New York City Metro
San Francisco Bay Area

Work Type

Hybrid

Experience Level

10+ years of experience
Significant experience leading high-performing teams

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
Flexible sick time
Generous stipends (including those for caregiving, pet care, wellness, your home office, and more)
Annual professional development budget and opportunities

About the Company

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.
Refounded in 2025, Superhuman empowers over 40 million people, 50,000 organizations, and 3,000 educational institutions worldwide to eliminate busywork and focus on what matters.

Equal Opportunity

At Superhuman, we value our differences and encourage everyone to apply—especially those whose identities are traditionally underrepresented in tech organizations.
We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, ancestry, national origin, citizenship, age, marital status, veteran status, disability status, political belief, or any other characteristic protected by law.
Superhuman is an equal opportunity employer and a participant in the US federal E-Verify program (US).
We also abide by the Employment Equity Act (Canada).