Superhuman

Director, Data Science

Superhuman$150K — $200K *
Consumer Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 10+ years in data science, analytics, or related quantitative field with leadership experience.
  • Demonstrated success in setting data science strategy for product-led organizations and aligning priorities with business goals.
  • Expertise in experimentation and statistical analysis with the ability to apply rigorous methods in dynamic environments.
  • Proficient in SQL, R, Python, or modern data tools; capable of advising teams on best practices and data quality.
  • Experience collaborating with cross-functional leaders to influence product and business strategy effectively.
  • Proven coaching ability to enhance team performance and foster an inclusive workplace.
  • Exceptional verbal and written communication skills for influencing stakeholders and presenting data insights.

Responsibilities

  • Lead the data science strategy and team for an AI-native product.
  • Shape product direction using data to inform decisions and drive growth.
  • Mentor and build a high-performing data science team focused on strategic execution.
  • Develop rigorous experimentation and measurement practices for impactful insights.
  • Collaborate with Product, Engineering, and Design teams to drive product strategy.
  • Translate ambiguous challenges into clear, actionable insights that drive momentum.

Benefits

  • Excellent health care including medical, dental, vision, and mental health benefits.
  • Disability and life insurance options available.
  • 401(k) and RRSP matching for retirement savings.
  • Paid parental leave to support family needs.
  • 20 days of paid time off plus holidays and flexible sick time.
  • Generous stipends for caregiving, pet care, wellness, and home office needs.
  • Annual professional development budget for continuous learning.
Full Job Description
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.

Superhuman team members for this role must be based in the New York City Metro or San Francisco Bay Area.

The Opportunity

As Director, Data Science, you will lead the data science strategy and team for a core product in our AI-native suite that works everywhere our customers work-powering agentic features across surfaces and making our products the best place to write, track, and build. You will shape how data informs product direction, investment decisions, and user experience, partnering closely with Product, Engineering, Design, GTM, and company leadership to unlock growth and deliver measurable impact.

We're building and growing our Data Science teams in San Francisco and New York, with one Data Science leader anchored in each hub.

In either role, you will build and mentor a high-performing data science team that combines strategic thinking with hands-on execution. You'll guide the team in tackling high-impact product, growth, and business questions; develop rigorous experimentation and measurement practices; and help ensure that decisions are grounded in deep user understanding and clear business outcomes.

This is an opportunity to work on a product used by millions, collaborate with a globally distributed and highly cross-functional team, and apply the latest technologies to shape the future of AI-powered productivity.

You'll be especially well-positioned to succeed if you are energized by building in fast-moving environments, raising the bar on analytical rigor, and developing exceptional teams. This role is ideal for a leader who can move fluidly between vision and execution-someone who can set direction, coach senior talent, influence across functions, and turn ambiguity into focus and momentum.

Qualifications
  • 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.
Compensation and Benefits

Superhuman offers all team members competitive pay along with a benefits package encompassing the following and more:
  • 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


Superhuman takes a market-based approach to compensation so that base pay may vary by location. Our US locations are categorized into two compensation zones based on proximity to our hub locations.

Base pay may vary considerably depending on job-related knowledge, skills, and experience. The expected salary ranges for this position, by compensation zone, are outlined below and may be modified in the future.

We encourage you to apply

At Superhuman, we value our differences and encourage everyone to apply-especially those whose identities are traditionally underrepresented in tech organizations.

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