Senior Data Science Manager, Product

The Data Science team at Asana is pivotal in fulfilling our mission by fostering a data-driven approach in shaping both our product and business strategies. In your role on the Product Data Science team, you will be a key player in using data and scientific techniques to inform Asana’s product strategy and make product decisions. You will work closely with Engineering, Product, and Design leadership and the wider Asana data community to set priorities and help us scale. Your enthusiasm for mentoring and leading a team will be matched by your drive to solve complex technical challenges.

This role is based in our New York City office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements.

What you’ll achieve:

• Guide the Product Data Science team in using data to set the right goals and strategy to hit them
• Lead and nurture a team of data scientists guiding their professional growth and expanding the team as necessary for ongoing business success.
• Collaborate with Product, Engineering, and Design leadership to choose our investments and decisions in AI and Collaborative Work Management.
• Take on a leadership role within the broader Asana Data Community with other Data Science teams, Data Engineering, and Analytics

About you:

• Over 5 years of experience in a comparable data science role
• At least 2 years of experience in managing a team of data scientists
• Experience working with Product, Engineering, and Design leadership to guide product strategy and make decisions
• Extensive track record in data-informed decision making, including defining success metrics, conducting observational inference and decision-making based on experimentation
• Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making
• Experience with Enterprise SaaS products is a strong plus

At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply.

What we’ll offer

Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit.

For this role, the estimated base salary range is between $258,000 - $284,250. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified.

In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role.

We strive to provide equitable and competitive benefits packages that support our employees worldwide and include:

• Mental health, wellness & fitness benefits
• Career coaching & support
• Inclusive family building benefits
• Long-term savings or retirement plans
• In-office culinary options to cater to your dietary preferences 

These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role.

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