Staff Software Engineer
Motife
This is a Staff Software Engineer role (technical leadership) for a marketing automation SaaS platform undergoing an AI-first transformation. You will provide architectural guidance across multiple engineering teams, drive AI/LLM integrations and agentic workflows, mentor senior and lead engineers, and solve scalability and performance challenges in backend systems (Python/PHP). You operate at an organizational level, partnering with Engineering, Product, Design, and AI teams, without direct people management responsibilities.
Brakuje: recruitment process not described, client company name not disclosed.
This is a Staff Software Engineer role (technical leadership) for a marketing automation SaaS platform undergoing an AI-first transformation. You will provide architectural guidance across multiple engineering teams, drive AI/LLM integrations and agentic workflows, mentor senior and lead engineers, and solve scalability and performance challenges in backend systems (Python/PHP). You operate at an organizational level, partnering with Engineering, Product, Design, and AI teams, without direct people management responsibilities.
- ✓10% annual bonus and 75% Creative Tax (Polish tax relief for creative work)
- ✓26 days vacation and sabbatical program after 5 years
- ✓Comprehensive health benefits (LUX MED Premium for employee and dependents, dental, vision)
- ✓Home office stipend ($150 one-time) and Calm subscription
- ✓AI-first transformation – opportunity to work on cutting-edge LLM and agentic workflows
- ✓Role offers technical leadership and mentorship without people management
- −Ambiguity in employer: job posted by MOTIFE (likely agency) but refers to 'our client' – unclear if you work for MOTIFE or directly for the client
- !Company size 40+ might be small for a Staff Engineer role with broad influence
- !Broad technology stack (Python, PHP, React, AI, AWS, etc.) could indicate unrealistic expectations or scattered focus
- !Client company name not disclosed – lack of transparency about the actual employer
- •Providing technical leadership and architectural guidance across multiple engineering teams
- •Designing and driving AI-powered solutions, including LLM integrations and agentic workflows
- •Solving complex platform scalability and performance challenges in Python/PHP backend systems
- •Mentoring senior and lead engineers to raise the technical bar
- •Partnering with Product, Design, and AI teams to define and deliver high-impact solutions
- •Contributing to cloud-native architecture evolution and engineering best practices on AWS
- •Reviewing system designs and architectural decisions across teams
- •Improving CI/CD pipelines and observability tooling
Oferta dla doświadczonych specjalistów (Senior).
An engineer with at least 8 years of professional experience, solid backend skills in Python or PHP, experience building and scaling SaaS platforms, and some exposure to AI/ML concepts. They should be ready to step into a leadership role and influence technical direction across teams.
Candidates with less than 8 years of experience, those seeking a purely hands-on coding role without architectural or mentoring responsibilities, or those who prefer people management as a primary focus.
- ?Is the employment directly with the client or through MOTIFE?
- ?What is the name of the client company?
- ?How many engineers are in the Kraków Hub and across all teams?
- ?What is the current stage of the AI transformation – are there existing LLM integrations or is it greenfield?
- ?What is the balance between hands-on coding and architectural/mentoring work in this role?
- ?Is there an on-call rotation? If so, what is the frequency?
- ?What is the recruitment process (stages, timeline, technical assessment)?
- ?What are the biggest technical challenges the platform faces right now?
- −Recruitment process not described
- −Client company name not disclosed
- −Team size and structure not specified
- −On-call expectations not mentioned
A collaborative, cross-functional environment where technical excellence is valued, mentorship is encouraged, and innovation around AI is a key driver. The team operates with a focus on platform-wide improvements rather than isolated product areas.
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