As part of the Enterprise Data & Intelligence (EDI) team, you will play a key role in enabling company-wide data-informed decision making. Business and Product teams rely on our data assets to analyze and optimize user adoption, growth, and revenue.

The ideal candidate will have a strong mix of technical and collaboration  skills. They should be able to quickly understand business priorities and proactively develop and enhance tools, automations and analytics that support those priorities.

This role is based in our Warsaw office with an office-centric hybrid schedule - in-office days are Monday, Tuesday, and Thursday. 

We offer a Contract of Employment (UoP) for our employees in Poland.

What you’ll achieve

• Design, implement and scale end-to-end data products that support growing data processing and analytical needs.
• Influence best practices in Databricks and cloud-based data engineering, driving innovation and adoption across teams.
• Establish trust and strong relationships across technical and business teams, ensuring alignment on data strategy and execution.
• Lead process automation efforts and proactively identify optimisation opportunities, improving data workflows and ensuring scalability.

About you

• 5+ years of hands-on experience in Data Engineering or Software Engineering.
• Degree in computer science, engineering or equivalent technical field experience.
• Proficient in cloud-based data processing and storage technologies like Databricks, Snowflake, AWS S3, Spark, Airflow.
• Fluent in SQL and proficient in at least one modern programming language (e.g., Python, Scala, Java).
• Proactive self-starter with a proven ability to identify opportunities, propose innovative solutions, and execute them effectively.
• Excellent communication skills, with the ability to clearly articulate complex technical concepts to non-technical stakeholders.
• Demonstrated curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making.

What we offer

• Generous, transparent and fair compensation system (base salary and generous Restricted Stock Unit for Asana Inc.) 
• Contract of Employment (with 50% tax deductible costs for author’s rights usage for Engineers) 
• 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 20,833 - 22,983 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 

We're looking for a AI Engineer. The Enterprise AI team is a new, agile group of builders dedicated to empowering Asana’s internal functions through the design and implementation of scalable AI workflows. We partner cross-functionally with business and engineering teams, maintaining tight feedback loops with our users to ensure our solutions directly enhance critical GTM processes. By automating high-value business logic, we serve as a critical pillar in driving Asana’s broader goal of building the Agentic Enterprise Foundations.

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

• Own the AI integration layer, architecting the connective tissue between foundational LLMs and our core GTM stack (e.g., Salesforce, Databricks) to automate high-value business logic.
• Design prompting strategies, orchestration logic, and tool integrations that enable AI systems to retrieve data, reason over context, and take action across internal systems.
• Build AI data infrastructure, including retrieval pipelines and RAG systems, to ensure AI outputs are grounded in accurate product documentation and customer insights.
• Design and deploy intuitive AI interfaces - ranging from Slack apps to Chrome extensions - to bring AI directly into existing user workflows.
• Lead the transition from POC to production, rapidly prototyping AI pilots while ensuring underlying architectures are optimized for performance, security, and scale.
• Partner with GTM and RevOps stakeholders to identify process friction and translate business requirements into technical AI solutions that drive revenue.
  
  

About you

• 5+ years of experience designing, building, and deploying AI-driven or intelligent systems in enterprise environments.
• At least 1+ year of hands-on experience working with Generative AI technologies such as Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and prompt engineering. 
• Strong proficiency in Python and SQL, with the ability to confidently process data, build integrations, and extend automation platforms.
• Proven experience building AI-powered applications, agents, or LLM-powered automations that deliver measurable business value beyond basic chatbots.
• Hands-on expertise with agent frameworks (e.g., LangChain, LlamaIndex) and designing multi-step reasoning workflows.
• Experience building reliable, business-critical workflows using automation and iPaaS platforms like n8n, Workato, or Zapier.
• A business-first mindset with an understanding of GTM motions and the ability to identify where AI creates the most strategic leverage.
• Strong communicator capable of explaining complex automation logic and AI behavior to non-technical stakeholders across Sales and Marketing.
• 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

• Generous, transparent and fair compensation system (base salary and RSUs)
• 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) 
• Breakfast and lunch catering on the days that you work from the office
• Vacation allowance
• Career growth budget 
• Home office setup budget 
• Gym/Fitness card
• 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 26,417 - 29,583 zł 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

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

• Design, implement, and scale end-to-end data products that support growing data processing and analytical needs
• Transform raw data into actionable insights to drive product strategy and power in-depth analyses and reporting
• Leverage AI to build self-serve tools and accelerate Data/GTM workflows
• Partner with data scientists, domain experts, and engineering teams to develop a roadmap that aligns with our business goals
• Implement systems that guarantee data quality, governance, and availability

About you

• 5+ years of experience in Data Engineering or Software Engineering
• Experience in data modeling and building scalable data pipelines involving complex transformations
• Proficiency in data processing and storage technologies like Databricks, AWS/S3, Python/Scala/Java, SQL, Spark, and Airflow
• Proactive and innovative in identifying and addressing performance bottlenecks in existing workflows
• Motivated to work closely with cross-functional partners to evolve our analytical data model
• 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 $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:

• 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

#LI-Hybrid