Agentic Product Engineer | Senior | Full-stack | Saily

At Saily, we’re removing the hassle of staying connected while traveling — no roaming fees, no plastic SIM cards, just lightning-fast, secure mobile data in 200+ destinations. Saily has millions of paying customers and hundreds of thousands travelers browsing through Saily at any given moment. To build the best product for our customers we foster AI-native Product Engineering culture, where:

• The Engineer is the builder, who is responsible for solving customer problems end-to-end (idea to production)
• AI Agents are the enablers who write most of the code and solve repeatable tasks to help the Engineers maximize their impact
• Everyone contributes to making Saily effective by suggesting new areas for improvement to delegate to agents and then implementing the changes
• Curiosity, learning and sharing are everyone's responsibility
• Customer, having a comfortable, connected, hassle-free journey is never lost from the focus We value growth over comfort, contribution over hierarchy, and impact over process. At Saily, we believe in giving sharp people context, autonomy, and AI as their multiplier to allow them to just do their best work.

• 5+ years of backend development experience building something real (product, system, tool, startup, side project, meaningful feature)
• Experience with Go or strong desire to switch
• You like autonomy more than process
• You enjoy working across layers instead of staying in one box
• You think in problems and outcomes, not tickets
• You challenge solutions and propose better ones
• You are detached from your code — impact matters more
• You can learn new technologies quickly
• You are curious about AI and excited to work with agents

Nice to have:

• Previous experience in working with K8s and microservice architecture
• Previous experience as a fullstack developer
• Advanced proficiency in Agentic Prompt Engineering and the ability to contribute to the model governance and fine-tuning for mobile-specific tasks
• Establish and enforce AI-assisted code security and quality standards for agent-generated features

• Own problems end-to-end — from idea to production
• Ship features without waiting for perfect specs
• Work directly with product, design, data, and other engineers
• Operate in small, highly autonomous teams
• Use AI agents for specs, coding, analysis, testing, and iteration
• Improve our internal agent network and development workflows
• Move across the stack when needed
• Focus on user and business outcomes, not output

Candidates must provide accurate and complete information during recruitment. Limited use of AI tools to refine application materials is acceptable but candidates remain responsible for their submissions. Applications may be processed using automated tools for evaluation purposes, supporting but not replacing human decision-making. Candidates can opt out of automated evaluation by submitting applications directly via email.