The job, in the employer's words
We are looking for a Senior Full Stack Engineer (Senior Product Engineer) to own the technical direction and delivery of solutions in one of our teams. You aren’t just here to write code - you are a partner in the product journey, helping us shape architecture, refine the work breakdown, and advocate for performance and security at every step.
This is a full-time, hybrid position based in Vienna. We value in-person collaboration, so regular office presence is a priority (3 times a week).
Some of the things you’ll do:
In the first month:
- Get to know your product development team and get familiar with our products, technologies, systems & architecture, processes and practices.
- Absorb our engineering culture, start coding and ramp-up quickly within the Adverity universe.
- Get to know the architecture and codebase inside-out.
In the first 6 months:
- Support your product development team with deep code reviews, guiding them towards better system quality and engineering practices.
- Participate in shaping new features by getting your hands dirty in PoCs, breaking down technical scopes, and commence working on team deliveries.
Beyond the first 6 months:
- At this point, you know the Adverity platform very well, both product and tech.
- Participate in strategic cross-product engineering initiatives and help product development teams towards pragmatic technical decisions based on limited context, striving to constantly improve maintainability and reliability.
- You increase your impact beyond your product development team to the whole engineering team & beyond.
We’re excited if you have:
- Product-driven mindset: a strong focus on understanding users and solving real problems with intuitive, user-friendly tools.
- Daily use of AI tools (e.g. coding copilots, LLM-based design assistants, automation agents) and the ability to integrate AI reasoning and automation into workflows across coding, documentation, testing, and deployment.
- Fluency in Python and (preferably) the Django framework, with experience managing large-scale production systems and building REST APIs.
- Strong communication and collaboration skills: you’re proactive, listen carefully, and collaborate closely with product, design, engineering, and other stakeholders.
- A passion for learning, experimenting, and turning new AI tools into practical, repeatable workflows — always keeping user value at the core.
Nice to have:
- During your career you successfully mentored and coached engineers.
- Experience with data products and its challenges.
- Skill in demonstrating AI-driven productivity to peers and driving adoption within technical teams.
Why you’ll love it here:
- Flexible working hours and home-office
- Internal shares program (EDPP)
- Ergonomic workspace and cutting edge technology
- Budget for job relevant training
- Regular team events
- Modern and stylish offices
- Sustainable merch for all employees
- Adverity Social Responsibility Days (+2 days paid off)
- Public transportation ticket for Vienna
The minimum gross salary is €70,000. In any case, we offer competitive salaries depending on your qualifications and experience.
Apply now if you are ready to revolutionise the way businesses work with marketing data. We look forward to meeting you!
Benefits mentioned
- Flexible working hours and home-office
- Internal shares program (EDPP)
- Ergonomic workspace and cutting edge technology
- Budget for job relevant training
- Regular team events
- Modern and stylish offices
- Sustainable merch for all employees
- Adverity Social Responsibility Days (+2 days paid off)
- Public transportation ticket for Vienna
- The minimum gross salary is €70,000. In any case, we offer competitive salaries depending on your qualifications and experience.
- Apply now if you are ready to revolutionise the way businesses work with marketing data. We look forward to meeting you!
Requirements mentioned
- Product-driven mindset: a strong focus on understanding users and solving real problems with intuitive, user-friendly tools.
- Daily use of AI tools (e.g. coding copilots, LLM-based design assistants, automation agents) and the ability to integrate AI reasoning and automation into workflows across coding, documentation, testing, and deployment.
- Fluency in Python and (preferably) the Django framework, with experience managing large-scale production systems and building REST APIs.
- Strong communication and collaboration skills: you’re proactive, listen carefully, and collaborate closely with product, design, engineering, and other stakeholders.
- A passion for learning, experimenting, and turning new AI tools into practical, repeatable workflows — always keeping user value at the core.
- During your career you successfully mentored and coached engineers.
- Experience with data products and its challenges.
- Skill in demonstrating AI-driven productivity to peers and driving adoption within technical teams.
No Mondays shows this listing as the employer published it. Check the details on the employer's site before you apply.