Asana

The Data Engineering team’s mission is to ensure high-quality data to enable data-informed decision-making across Asana. You will build data artifacts that are leveraged by a wide range of stakeholders in the marketing domain, and create frameworks and tooling used by all data and analytics engineering teams. In this role, you will also partner both with business stakeholders and with the Data Infrastructure team.
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.
We offer a Contract of Employment (UoP) for our employees in Poland.
 
What you’ll achieve
<ul>
<li>Design, implement and scale end-to-end data products that support growing data processing and analytical needs.</li>
<li>Influence best practices in Databricks and cloud-based data engineering, driving innovation and adoption across teams.</li>
<li>Leverage AI to build self-serve tools and accelerate Data/GTM workflows.</li>
<li>Establish trust and strong relationships across business and technical teams, ensuring alignment on data strategy and execution.</li>
<li>Implement systems that guarantee data quality, governance, and availability.</li>
</ul>
About you
<ul>
<li>3+ years of hands-on experience in Data Engineering or Software Engineering.</li>
<li>Degree in computer science, engineering or equivalent technical field experience.</li>
<li>Proficient in cloud-based data processing and storage technologies like Databricks, Spark, Airflow.</li>
<li>Fluent in SQL and proficient in at least one modern programming language (e.g., Python, Scala, Java).</li>
<li>Proactive self-starter with a proven ability to identify opportunities, propose innovative solutions, and execute them effectively.</li>
<li>Excellent communication skills, with the ability to clearly articulate complex technical concepts to non-technical stakeholders.</li>
<li>Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making.</li>
</ul>
What we'll offer
<ul>
<li>Generous, transparent and fair compensation system (base salary and generous Restricted Stock Unit for Asana Inc.) </li>
<li>Contract of Employment (with 50% tax deductible costs for author’s rights usage for Engineers) </li>
<li>Health insurance with dental and travel coverage (Lux Med) </li>
<li>Lunch catering on the days that you work from the office</li>
<li>Career growth budget </li>
<li>Home office setup budget </li>
<li>Gym/Fitness reimbursement</li>
<li>Fertility healthcare and family-forming support with <a href="https://www.get-carrot.com/" rel="noopener noreferrer ugc" target="_blank">Carrot</a></li>
<li>Mental health support in Modern Health</li>
<li>Group life insurance</li>
<li>MacBooks with all necessary accessories</li>
</ul>
For this role, the estimated base salary range is between 20,833 - 30,000 PLN gross monthly on the contract of employment (UoP). The actual base salary will vary based on various factors and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base compensation range for this role may be modified.
Our total compensation consists of base salary and equity (RSUs). 
#LI-Hybrid <div>About us
Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong.
<div>We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law.</div>
<a href="https://www.gem.com/form?formID=fbcdec8c-3442-43b9-9b45-d2b5f4ea25db" target="_blank" rel="noopener noreferrer ugc">Join Asana’s Talent Network</a> to stay up to date on job opportunities and life at Asana.</div>

Data Engineer 

<h2>Senior Analytics Engineer</h2>
The Data Science &amp; Analytics team at Asana is how the company turns data into decisions — defining the questions that matter, surfacing the answers, and making sure insight is at the center of every critical product and business call. As a Senior Analytical Engineer, you sit at the intersection of Data Engineering, Analytics, and Data Science, and you own the data foundations for a business domain end to end. Your mandate is to turn raw data into reliable, business-ready datasets that PMs, analysts, data scientists, and leaders actually trust and use — and to define the business logic and metric standards that make AI-powered self-serve trustworthy. You consume governed Silver tables and produce the Gold layer and semantic layer beneath Asana's most important metrics, dashboards, and Genie spaces. 
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 your recruiter can share more about the in-office requirements. 

<h3>What you’ll achieve</h3>

<ul>
<li>
Own the Gold layer for a given business domain (e.g., PLG funnel, marketing attribution, revenue, NPI/AWM): Design and continuously improve the curated, dimensional data models that downstream dashboards, Genie spaces, and ELT reporting depend on.
</li>
<li>
Implement the canonical business logic behind your domain's core KPIs: Translate KPIs into governed, versioned metric marts that resolve "this number doesn't match" disputes for good.
</li>
<li>
Build and curate the semantic layer and Genie spaces that power self-serve in your domain: Author the metadata, documentation, and prompt/metric definitions that let stakeholders query governed data in plain language through Claude and Databricks Genie.
</li>
<li>
Own the metric dictionary for your domain: a single source of truth for what each metric means, who owns it, and where to find it. Partner with peers across DS&amp;A to keep KPI definitions consistent where domains overlap.
</li>
<li>
Author data contracts and SLAs at the Silver→Gold boundary, partnering with Horizontal Data Engineering on the inputs you depend on, and owning data quality, freshness, and oncall for Gold/metric-mart failures in your domain.
</li>
<li>
Build and maintain certified, board-ready dashboards on governed Gold data, partnering with Data Science to translate insight requirements into trusted, reusable products rather than one-off builds.
</li>
<li>
Partner directly with Product &amp; Business, Data Science, and Engineering to turn ambiguous, underspecified questions into scalable datasets — anticipating downstream reporting impacts before they become incidents, and raising the data-model quality bar across the domains you touch.
</li>
</ul>
<h3>About you</h3>

<ul>
<li>
Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making.
</li>
<li>
4+ years in analytics engineering, data engineering, or a closely related analytics role, with a track record of independently owning the data models a team relies on for decisions.
</li>
<li>
Advanced SQL and strong data modeling fundamentals: dimensional modeling, star/snowflake schemas, slowly changing dimensions, and semantic layer design.
</li>
<li>
Hands-on experience with a transformation framework (dbt or equivalent), orchestration tooling (e.g. Airflow), version control (Git), and modern warehouse/lakehouse platforms (Databricks experience preferred).
</li>
<li>
Practical experience with data quality testing and observability, schema management and data contracts, and query/model performance and cost tuning.
</li>
<li>
Demonstrated domain fluency in at least one business area (e.g. PLG funnels, SLG pipeline, marketing attribution, Product telemetry, revenue/ARR) and the judgment to translate "I don't trust this number" into a specific, durable model fix.
</li>
<li>
Strong cross-functional partnership skills: requirement gathering, prioritization, documentation and enablement, driving alignment on metric definitions, and explaining technical tradeoffs to non-technical partners.
</li>
<li>
Curiosity about AI-native analytics — NL2SQL, metadata/semantic layers for self-serve, and using tools like Claude and Genie to multiply your reach rather than replace rigor. Exposure to Unity Catalog, Looker/LookML, or reverse-ETL/activation (Salesforce, Marketo, Gainsight) is a plus
<div> </div>
</li>
</ul>
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.
<h3>What we’ll offer</h3>

<ul>
<li>
Generous, transparent and fair compensation system (base salary and RSUs)
</li>
<li>
Health insurance with dental 
</li>
<li>
Breakfast and lunch catering on the days that you work from the office
</li>
<li>
Home office setup budget
</li>
<li>
Gym/Fitness card
</li>
<li>
Fertility healthcare and family-forming support with Carrot
</li>
<li>
Mental Health Support in Modern Health
</li>
<li>
Group life insurance
</li>
<li>
MacBooks with all necessary accessories
</li>
</ul>
For this role, the estimated base salary range is between $106,000 - $120,000 CAD annually. 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 recruiter to learn more about the total compensation and benefits for this role.
#LI-Hybrid<div>About us
Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong.
<div>We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law.</div>
<a href="https://www.gem.com/form?formID=fbcdec8c-3442-43b9-9b45-d2b5f4ea25db" target="_blank" rel="noopener noreferrer ugc">Join Asana’s Talent Network</a> to stay up to date on job opportunities and life at Asana.</div>

Senior Analytics Engineer

The Data Science &amp; Analytics team at Asana is how the company turns data into decisions — defining the questions that matter, surfacing the answers, and making sure insight is at the center of every critical product and business call. As a Senior Analytical Engineer, you sit at the intersection of Data Engineering, Analytics, and Data Science, and you own the data foundations for a business domain end to end. Your mandate is to turn raw data into reliable, business-ready datasets that PMs, analysts, data scientists, and leaders actually trust and use — and to define the business logic and metric standards that make AI-powered self-serve trustworthy. You consume governed Silver tables and produce the Gold layer and semantic layer beneath Asana's most important metrics, dashboards, and Genie spaces. 
This role is based in our Warsaw office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday, with the option to work from home on Wednesdays and, depending on the work and the teams you partner with, on Fridays. If you're interviewing for this role, your recruiter will share more about the in-office expectations.
What you'll achieve:
<ul>
<li>Own the Gold layer for a given business domain (e.g. PLG funnel, marketing attribution, revenue, NPI/AWM): Design and continuously improve the curated, dimensional data models that downstream dashboards, Genie spaces, and ELT reporting depend on.</li>
<li>Implement the canonical business logic behind your domain's core KPIs: Translate KPIs into governed, versioned metric marts that resolve "this number doesn't match" disputes for good.</li>
<li>Build and curate the semantic layer and Genie spaces that power self-serve in your domain: Author the metadata, documentation, and prompt/metric definitions that let stakeholders query governed data in plain language through Claude and Databricks Genie.</li>
<li>Own the metric dictionary for your domain: a single source of truth for what each metric means, who owns it, and where to find it. Partner with peers across DS&amp;A to keep KPI definitions consistent where domains overlap.</li>
<li>Author data contracts and SLAs at the Silver→Gold boundary, partnering with Horizontal Data Engineering on the inputs you depend on, and owning data quality, freshness, and oncall for Gold/metric-mart failures in your domain.</li>
<li>Build and maintain certified, board-ready dashboards on governed Gold data, partnering with Data Science to translate insight requirements into trusted, reusable products rather than one-off builds.</li>
<li>Partner directly with Product &amp; Business, Data Science, and Engineering to turn ambiguous, underspecified questions into scalable datasets — anticipating downstream reporting impacts before they become incidents, and raising the data-model quality bar across the domains you touch.</li>
</ul>
 
About you:
 
<ul>
<li>4+ years in analytics engineering, data engineering, or a closely related analytics role, with a track record of independently owning the data models a team relies on for decisions.</li>
<li>Advanced SQL and strong data modeling fundamentals: dimensional modeling, star/snowflake schemas, slowly changing dimensions, and semantic layer design.</li>
<li>Hands-on experience with a transformation framework (dbt or equivalent), orchestration tooling (e.g. Airflow), version control (Git), and modern warehouse/lakehouse platforms (Databricks experience preferred).</li>
<li>Practical experience with data quality testing and observability, schema management and data contracts, and query/model performance and cost tuning.</li>
<li>Demonstrated domain fluency in at least one business area (e.g. PLG funnels, SLG pipeline, marketing attribution, Product telemetry, revenue/ARR) and the judgment to translate "I don't trust this number" into a specific, durable model fix.</li>
<li>Strong cross-functional partnership skills: requirement gathering, prioritization, documentation and enablement, driving alignment on metric definitions, and explaining technical tradeoffs to non-technical partners.</li>
<li>Curiosity about AI-native analytics — NL2SQL, metadata/semantic layers for self-serve, and using tools like Claude and Genie to multiply your reach rather than replace rigor. Exposure to Unity Catalog, Looker/LookML, or reverse-ETL/activation (Salesforce, Marketo, Gainsight) is a plus.</li>
</ul>
We know that the best ideas and solutions come from multi-dimensional teams. That's because these teams reflect a variety of backgrounds and professional experiences. If you are excited about this role and feel your experience can make an impact, please don't be shy - apply today.
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
<ul>
<li>Generous, transparent and fair compensation system (base salary and RSUs)</li>
<li>Contract of Employment (and the option of 50% tax deductible costs for author’s rights usage in respect of applicable roles ) </li>
<li>Health insurance with dental and travel coverage (Lux Med) </li>
<li>Breakfast and lunch catering on the days that you work from the office</li>
<li>Vacation allowance</li>
<li>Career growth budget </li>
<li>Home office setup budget </li>
<li>Gym/Fitness card</li>
<li>Fertility healthcare and family-forming support with <a href="https://www.get-carrot.com/" rel="noopener noreferrer ugc" target="_blank">Carrot</a></li>
<li>Mental Health Support in Modern Health</li>
<li>Group life insurance</li>
<li>MacBooks with all necessary accessories</li>
</ul>
For this role, the estimated base salary range is between 20,833 - 23,700 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 recruiter to learn more about the total compensation and benefits for this role.
#LI-Hybrid
<div>
About us
Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong.
<a href="https://www.gem.com/form?formID=fbcdec8c-3442-43b9-9b45-d2b5f4ea25db" target="_blank" rel="noopener noreferrer ugc">Join Asana’s Talent Network</a> to stay up to date on job opportunities and life at Asana.
</div><div>About us
Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong.
<div>We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law.</div>
<a href="https://www.gem.com/form?formID=fbcdec8c-3442-43b9-9b45-d2b5f4ea25db" target="_blank" rel="noopener noreferrer ugc">Join Asana’s Talent Network</a> to stay up to date on job opportunities and life at Asana.</div>

Analytical Engineer

Data Scientist
The 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. We understand our company’s goals and proactively inform their direction with data so that our product can help more teams do great things.
As a Data Scientist at Asana, you’ll help us ask the right questions and answer them rigorously. You’ll work closely with our Product and Business teams to understand their goals and proactively inform their direction with data. You’ll keep taking on new responsibilities as you grow—from defining core metrics to building machine learning models and keeping the data flowing in our pipelines
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.
We offer a Contract of Employment (UoP) for our employees in Poland.
What you’ll achieve
<ul>
<li>
Design and analyze experiments to measure the impact of new product features.
</li>
<li>
Investigate high-level questions like “What are the collaborative patterns of the most successful teams using Asana?”
</li>
<li>
Add new metrics and aggregations to our data warehouse to make new classes of questions answerable.
</li>
<li>
Build models to predict the growth trajectory of different customer segments.
</li>
<li>
Partner with cross-functional stakeholders across engineering, product management, and business teams to drive data-informed decision-making.
</li>
</ul>
About you
<ul>
<li>
Bachelor's Degree in Computer Science, Math, Statistics, Engineering, a related quantitative field, or equivalent practical experience.
</li>
<li>
3+ years of experience in applying data science techniques to drive technical product development and decision-making.
</li>
<li>
Strong technical background in statistics, mathematics, information science, or another heavily quantitative field.
</li>
<li>
Fluency in at least one modern language useful for data processing (such as Python or Scala).
</li>
<li>
Proficiency with relational data modeling and SQL.
</li>
<li>
Expertise in statistical methods and experimental design and analysis.
</li>
<li>
Experience with measurement techniques for search ranking, relevance, or quality assessments.
</li>
<li>
Experience with distributed data processing systems (such as Spark or Redshift).
</li>
<li>
Background in advanced statistical modeling (e.g., GLM, mixed effects) and/or machine learning techniques
</li>
<li>
Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making.
</li>
</ul>
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
For this role, the estimated base salary range is between 29,000 PLN - 32,900 PLN (gross monthly). 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:
<ul>
<li>Generous, transparent and fair compensation system</li>
<li>Contract of Employment (and the option of  50% tax deductible costs for author’s rights usage in respect of  applicable roles ) </li>
<li>Health insurance with dental and travel coverage (Lux Med) </li>
<li>Meals reimbursement on the days that you work from the office</li>
<li>Career growth budget </li>
<li>Home office setup budget </li>
<li>Gym/Fitness reimbursement</li>
<li>Fertility healthcare and family-forming support with <a href="https://www.get-carrot.com/" rel="noopener noreferrer ugc" target="_blank">Carrot</a></li>
<li>Mental Health Support in Modern Health</li>
<li>Group life insurance</li>
<li>MacBooks with all necessary accessories</li>
</ul>
#LI-Hybrid #warsaw<div>About us
Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong.
<div>We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law.</div>
<a href="https://www.gem.com/form?formID=fbcdec8c-3442-43b9-9b45-d2b5f4ea25db" target="_blank" rel="noopener noreferrer ugc">Join Asana’s Talent Network</a> to stay up to date on job opportunities and life at Asana.</div>

Data Scientist

The Data Engineering team’s mission is to ensure high-quality data to enable data-informed decision-making across Asana. You will build data artifacts that are leveraged by Product and Business Data Science teams to optimize our user adoption, growth, and experience. In this role, you will partner with the Infrastructure team to build a self-service analytics platform for the company. 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
<ul>
<li>Design, implement, and scale end-to-end data products that support growing data processing and analytical needs</li>
<li>Transform raw data into actionable insights to drive product strategy and power in-depth analyses and reporting</li>
<li>Leverage AI to build self-serve tools and accelerate Data/GTM workflows</li>
<li>Partner with data scientists, domain experts, and engineering teams to develop a roadmap that aligns with our business goals</li>
<li>Implement systems that guarantee data quality, governance, and availability</li>
</ul>
About you
<ul>
<li>5+ years of experience in Data Engineering or Software Engineering</li>
<li>Experience in data modeling and building scalable data pipelines involving complex transformations</li>
<li>Proficiency in data processing and storage technologies like Databricks, AWS/S3, Python/Scala/Java, SQL, Spark, and Airflow</li>
<li>Proactive and innovative in identifying and addressing performance bottlenecks in existing workflows</li>
<li>Motivated to work closely with cross-functional partners to evolve our analytical data model</li>
<li>Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making</li>
</ul>
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 $138,000 - $168,000. 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.
We strive to provide equitable and competitive benefits packages that support our employees worldwide and include:
<ul>
<li>Mental health, wellness &amp; fitness benefits</li>
<li>Career coaching &amp; support</li>
<li>Inclusive family building benefits</li>
<li>Long-term savings or retirement plans</li>
<li>In-office culinary options to cater to your dietary preferences</li>
</ul>
#LI-Hybrid<div>About us
Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong.
<div>We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law.</div>
<a href="https://www.gem.com/form?formID=fbcdec8c-3442-43b9-9b45-d2b5f4ea25db" target="_blank" rel="noopener noreferrer ugc">Join Asana’s Talent Network</a> to stay up to date on job opportunities and life at Asana.</div>

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