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 Rev Ops 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., Lang Chain, Llama Index) and designing multi-step reasoning workflows.
- Experience building reliable, business-critical workflows using automation and i PaaS 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
- Mac Books 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.
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.
[Join Asana’s Talent Network](https: //www.gem.com/form?formID=fbcdec8c-3442-43b9-9b45-d2b5f4ea25db) to stay up to date on job opportunities and life at Asana.
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关于Asana

Asana
PublicAsana, Inc. is an American software company based in San Francisco whose flagship Asana service is a web and mobile "work management" platform designed to help teams organize, track, and manage their work. Asana, Inc. was founded in 2008 by Dustin Moskovitz and Justin Rosenstein.
1,001-5,000
员工数
San Francisco whose flagship Asana service
总部位置
$1.5B
企业估值
评价
10条评价
3.9
10条评价
工作生活平衡
3.8
薪酬
2.5
企业文化
4.2
职业发展
2.8
管理层
2.5
72%
推荐率
优点
Flexible work arrangements and schedules
Supportive and collaborative team environment
Good company culture and great colleagues
缺点
Heavy workload and occasional long hours
Poor compensation and benefits
Lack of leadership direction
薪资范围
128个数据点
Junior/L3
L2
L6
M3
M4
M5
M6
Mid/L4
Principal/L7
Senior/L5
Staff/L6
Director
L3
L4
L5
Junior/L3 · Data Scientist L3
0份报告
$180,188
年薪总额
基本工资
-
股票
-
奖金
-
$153,160
$207,216
面试评价
4条评价
难度
3.0
/ 5
时长
14-28周
体验
正面 0%
中性 75%
负面 25%
面试流程
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Assessment/Video Interview
5
Onsite/Virtual Interviews
6
Offer
常见问题
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
System Design
Culture Fit
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