Manage delivery across multiple engineering teams or an entire domain defining delivery standards and ensuring consistency quality and velocity across teams.
Report to C-level stakeholders on progress risks and business impact translating engineering outcomes into business language and strategic recommendations.
Own domain-level SDLC governance: align standards across teams while enabling each team to own its practices eliminate systemic organizational blockers and define domain-level OKRs KPIs and SLAs.
Define architecture and technical standards for the domain (or the wider tech organization) collaborating closely with Staff Software Engineers on key architectural decisions.
Own platform and infrastructure strategy for the domain driving technical consistency across teams and reduction of technical debt.
Define the domains AI adoption strategy represent the domain in the AI Steering Committee/AI Hub measure AI ROI and help shape the organizations AI Playbook.
Coach and develop Engineering Managers build a talent pipeline across all levels (including Staff Engineers and future EMs) and design career paths and development programs.
Build a high-performance inclusive engineering culture escalating difficult personnel situations appropriately to HR and senior leadership.
Shape recruitment and process standards actively attract talent through employer branding and professional networks and manage the domains organizational structure (team sizing roles dependencies).
Communicate strategy and progress to C-level manage cross-domain dependencies and build relationships with key business stakeholders; represent InPost Tech externally (conferences partnerships).
Build a feedback and learning culture through systematic mechanisms (360 pulse surveys retrospectives) and translate feedback into domain-level action plans.
Sponsor and lead cross-team/cross-domain initiatives (architectural reviews workshops) and actively participate in or lead communities of practice.
Shape innovation direction for the domain manage a portfolio of innovation initiatives (AI new platforms experimentation) and contribute to Group-level technology strategy.
Qualifications :
Experience
10 years of overall experience in Software Development / Engineering Leadership. Youll be leading experienced Engineering Managers so this seniority is essential.
Proven experience managing managers (manager-of-managers model) - must have led at least 2 or more teams through other Engineering Managers not just individual contributors.
Hands-on background as a software engineer earlier in your career (even if it was several years ago).
Knowledge & Skills
Proven experience managing Engineering Managers with a deep understanding of domain-level delivery SDLC standards and technical architecture principles.
Hands-on technical background in Java and Spring Boot is required along with solid exposure to backend databases - this is the core stack used across the domains engineering teams.
Experience with cloud platforms - Google Cloud strongly preferred; AWS or Azure exposure is also valued.
Strong knowledge of enterprise architecture patterns (microservices event-driven API-first).
Experience with OKR/KPI frameworks and domain-level metrics.
Demonstrated impact of AI adoption on engineering velocity and product quality.
Proficiency in Agile SAFe or equivalent scaled delivery frameworks.
Core Competencies
Ability to communicate technical strategy to C-level and board-level stakeholders.
Expertise in people development - career paths performance management and succession planning.
Strong understanding of AI adoption frameworks AI governance and data security.
Proven track record of building high-performing inclusive engineering cultures.
Leadership & Organizational Skills
Strategic thinking and long-term planning.
Conflict resolution and organizational influence.
Executive-level communication and stakeholder management.
Employer branding and talent acquisition at domain level.
Exceptional leadership and mentoring skills strategic thinking strong executive communication and influencing capabilities resilience empathy adaptability clear communication initiative organizational agility and a strong drive for building inclusive high-performance engineering cultures.
Nice to have
Background in e-commerce or logistics - not required but it will help you ramp up on the domain faster.
Experience at a product-based company
Experience with P&L ownership and budget management.
Knowledge of AI/ML platforms and emerging technology trends.
Experience in board or executive advisory roles.
Experience representing a technology organization externally (partnerships industry forums); published thought leadership or conference speaking experience.
Additional Information :
Why Join InPost
Opportunity to work in a diverseinternational and cross-functional environment along with leading experts.
You work and learn from a senior leader and their leadership team expanding your experience and exposure in the e-commerce and logistics industries.
InPost is a growing company that offers its people an increasing number of opportunities in several locations in Europe.
Fulfilling careers with a range of benefits for people and investing in providing training opportunities for their development.
You will feel a part of the InPost community that makes an impact on sustainability convenient deliveries and the circular economy every day.
Excellent working environment and flexible hours
We offer B2B type of contract
Remote Work :
Yes
Employment Type :
Full-time
Experience: years Vacancy: 1
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