Asana's Data Science team helps us fulfill our mission by informing strategy, defining success metrics, and identifying new ways to deliver user value. Data scientists are at the crux of deepening our understanding of the customers and driving more business outcomes by leveraging experimentation, causal inference, statistical and machine learning techniques, and data storytelling. As a Data Science Manager, you’ll lead a team of data scientists working across several product teams to drive common goals, such as acquiring new customers. You will partner closely with product, engineering, and design leads to set the strategy and direction for the overall team while mentoring your reports in their technical growth.

This role is based in our San Francisco 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

• Manage and lead a team of data scientists partnering with Asana’s product teams.
• Partner closely with Product Management, Design, and Engineering leaders to drive high-level strategy.
• Implement team practices that empower cross-functional partners to make data-informed decisions, striking a balance between rigorous quantitative methods and speed.
• Guide data scientists in their technical and professional development through active mentorship.
• Collaborate with recruiting and other data team managers to help grow and scale the organization.
• Make hands-on contributions to the team’s work, including designing experiments, building ML models, and answering key questions with data.

About you

• You have over 5 years of experience in a comparable data science role, with a proven track record of delivering high-impact insights.
• You bring at least 2 years of experience specifically managing a team of data scientists within a product-focused environment.
• You are skilled at working closely with Product, Engineering, and Design leadership to guide product strategy and drive organizational decision-making.
• You have an extensive track record in data-informed decision making, including defining success metrics, conducting observational inference, and leveraging experimentation to inform direction.
• You possess a strong technical background in a quantitative field and are fluent in modern languages for statistics or data processing (e.g., Python, R).
• You are comfortable with ambiguity and enjoy the challenge of balancing rigorous statistical practice with the speed of results.
• 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 - $293,000. 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 and benefits. 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 recruiter to learn more about the total compensation and benefits for this role.

#LI-Hybrid #LI-SA

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.

#LI-Hybrid #LI-AS2

We're looking for a Staff Data Scientist to help define Asana's growth strategy as users increasingly discover and adopt software through LLM interfaces like ChatGPT, Claude, and Gemini. With millions of knowledge workers now starting their workday in conversational AI tools, we're at an inflection point in how productivity software reaches users. You'll drive Asana's acquisition playbook for the emerging LLM-driven channels and re-imagine new customer onboarding in the AI-era. As part of the PLG organization, you'll leverage data to influence how new users discover, learn about,  and decide to start using and paying for Asana.

Asana's Data Science team helps us fulfill our mission by informing strategy, defining success metrics, and identifying new ways to deliver user value. Data scientists are at the crux of deepening our understanding of the customers and driving more business outcomes by leveraging experimentation, causal inference, statistical and machine learning techniques, and data storytelling.

This role is based in our Vancouver 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

• Work closely with Product Managers and User Researchers (UXR) to understand the needs of our new customers in their first few minutes of interaction with Asana, employing data frameworks and methodologies to understand our user segments, visualize the new user funnel, identify levers for driving conversion revenue, and personalize the onboarding journey to ensure better adoption outcomes. 
• Act as the "Data Lead" in a triad with Product and Engineering stakeholders to identify multi-year growth opportunities and prioritize the roadmap.
• Design experiments that measure product progress, and own key performance metrics.
• Collaborate and mentor fellow Data Scientists in the team to research, identify and disseminate best practices across teams.
• Work in a high-performance, dynamic team with a strong focus on velocity and software quality and learn about the upcoming field of AI-Optimization and how LLMs can help boost Asana’s value proposition. 

About you

• 5-7 years of data science experience, with majority in growth-focused roles at B2B SaaS companies 
• Proven track record driving acquisition and activation for B2B SaaS products, with specific experience in top-of-funnel growth and new user acquisition.
• 0→1 builder mentality. You've demonstrated the ability to thrive in highly ambiguous environments where you're inventing new playbooks rather than executing existing ones. You're energized by pioneering work.
• Experience with AI/ML products, LLM APIs, or third-party platform integrations. Strong preference for candidates who've worked with conversational AI or built features integrating ChatGPT, Claude, or similar platforms.
• Strong analytical foundation with deep fluency in experimentation, A/B testing, and funnel optimization.
• Exceptional cross-functional leadership. You write crisply, tell clear stories, and can influence across product, engineering, design, partnerships, sales, and executive stakeholders. You bring clarity to ambiguity.
• Strategic business acumen to balance user experience with revenue objectives while translating emerging technology trends into actionable product strategy.
• Genuine AI enthusiasm. You're curious, adaptable, and genuinely excited about how LLMs are transforming software discovery and adoption.
• Expert in relational data modeling and SQL and fluent in at least one modern language useful for data processing (e.g. R, Python, or Scala).
• Familiarity with statistical methods including experimental design, regression, causal inference with observational data and time series modeling.
• Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making

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 CAD 211,000-240,000. 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.

#LI-Hybrid

Asana's Data Science team helps us fulfill our mission by informing strategy, defining success metrics, and identifying new ways to deliver user value. Data scientists are at the crux of deepening our understanding of the customers and driving more business outcomes by leveraging experimentation, causal inference, statistical and machine learning techniques, and data storytelling.

The Data Science team at Asana is instrumental in enabling Asana's mission by instilling a data-influenced approach in building the product or business strategy, defining and measuring success metrics, learning and iterating to deliver value to our users. Data Scientists closely partner with Product, Business, Design, Engineering, and also other members of the Data team. We leverage experimentation, statistical modeling and machine learning techniques, causal inference, and data storytelling to deepen our understanding of Asana customers and make optimal decisions to drive more business value.

This role is based in our Warsaw 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 your recruiter can share more about the in-office requirements.

Our employees in Poland are employed under a contract of employment.

What you’ll achieve

• Design and analyze experiments and causal analysis to ship impactful product changes that help customers quickly find what they need on Asana, specifically for our Mobile team.
• Proactively take on Analyses and develop compelling narratives that inform product strategy and influence business & roadmap decisions.
• Defining and adding new metrics to track success of our enterprise products and aggregate and publish them to our data warehouse to help answer all types of questions proactively.
• Building dashboards to highlight impact potential and other areas of opportunities.
• Communicating effectively and presenting to both technical and non-technical audiences.
• Establishing the Data Science presence in a new office and providing mentorship as the office grows. 

About you

• Bachelor Degree in Math, Statistics, Economics, Computer Science, Engineering a related quantitative field, or equivalent experience
• 7+ years of experience in applying data science techniques to drive technical product development and decision-making
• Strong technical background in statistics, math, computer science, information science, or another quantitative field
• Fluency in at least one data processing and programming language (e.g. Python, R), relational data modeling and SQL, familiarity with distributed data processing systems (e.g. Spark, Redshift)
• Expertise in statistical methods and experimental design and analysis
• Background in advanced statistical modeling (e.g. GLM, mixed effects) and/or machine learning
• Excellent written and verbal communication skills
• Ability to collaborate effectively with peers and leaders across data science, design, and engineering organizations
• Demonstrated curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making

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

• Generous, transparent and fair compensation system
• Contract of Employment (and the option of  50% tax deductible costs for author’s rights usage in respect of  applicable roles ) 
• Health insurance with dental and travel coverage (Lux Med) 
• Lunch catering on the days that you work from the office
• Career growth budget 
• Home office setup budget 
• Gym/Fitness reimbursement
• Fertility healthcare and family-forming support with Carrot
• Mental health support in Modern Health
• Group life insurance
• MacBooks with all necessary accessories

For this role, the estimated base salary range is between 24,960 PLN - 31,937 PLN gross per month (subject to all taxes and necessary deductions) . 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 and  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.

#LI-Hybrid #LI-AZ