At Poka, we’re transforming how frontline teams operate, learn, and solve problems.

Our connected worker platform is purpose-built for manufacturing, empowering frontline workers to share knowledge, collaborate in real-time, and drive continuous improvement. Think of it as the missing digital link, bringing the human interface into the stack of the Smart Factory, generating the right data and insights that drive entirely new scales of process improvements.

We’re proud to support global leaders like Nestlé, Bosch, Mars, and Danone in their digital transformation journeys and as part of the IFS family, our reach and impact continue to grow globally.

As Software Development Manager, you are responsible for the performance, health, and delivery predictability of one or more enabling and specialized engineering teams that own the foundations of the software platform.

Rather than focusing on feature delivery for a single product area, your role is to create the conditions for product teams to move faster and safer. You ensure that core systems, platforms, and shared capabilities are reliable, scalable, and easy to adopt across the organization.

Occasionally, you’ll also join the development effort or contribute to technical decisions and architecture, partnering with the architects.

What you’ll be responsible for:

People leadership & team health

Coach, mentor, and support developers through regular 1:1s, feedback, and performance reviews
Support career development, growth plans, and promotion readiness
Foster a healthy, inclusive, and high-performing team culture
Recruit, onboard, and retain software development talent

Driving Innovation

Actively surface and prioritizes innovation opportunities with high organizational leverage
Model curiosity and continuous learning as a leader
Create space for exploration and technical discovery via prototyping, proof of concept and spike efforts
Ensures research outputs are documented and reusable

Cross-functional collaboration

Partner closely with Product teams to align priorities, scope, and trade-offs
Work with Architects to surface technical risks and constraints early
Communicate delivery status, risks, and confidence clearly to leadership

AI enablement & adoption

Drive the responsible and effective adoption of AI tools and practices within your team to improve productivity, quality, and developer experience
Encourage experimentation with AI-assisted workflows (e.g. coding, testing, documentation, analysis), in partnership with Tech Leads
Ensure AI usage aligns with company policies, security, and ethical guidelines
Track and communicate AI adoption, usage, and impact across teams
Share learnings, best practices, and successful experiments with other software development managers