Join a transformative phase embedding AI into our product to create impactful solutions for ecommerce, enhancing decision-making through data-driven insights.
Build a product that helps customers make smarter decisions through data-driven recommendations and insights.
Use your technical expertise to solve complex problems.
Leverage AI to streamline your daily operations and build AI solutions that drive real value for our customers.
Experience leading or mentoring engineers, with a track record of driving technical initiatives and improving engineering practices.
Strong planning, prioritization, and stakeholder management skills.
Ability to make pragmatic decisions focused on delivering value rather than over engineering ideal solutions.
Customer and outcome oriented mindset, with the ability to translate complex data into impactful product capabilities.
Comfortable working in a fast-paced, iterative environment with continuous experimentation and delivery.
Strong communication skills and fluency in English.
5+ years of hands-on experience building and maintaining scalable, highly available, high-load systems.
Strong proficiency in Golang, or solid experience in another backend language (e.g., Python or Node.js) with a willingness to adopt Golang as a primary language.
Experience building backend services and APIs, capable of handling data intensive and high throughput workloads.
Practical experience working with machine learning systems and AI driven products, including LLM based solutions.
Experience integrating and working with multiple LLM providers (e.g., OpenAI, Gemini, Claude) or similar AI platforms.
Strong understanding of data processing and analytics, with hands-on experience in SQL and BigQuery (or similar data warehouses).
Experience designing and working with distributed systems, event driven architectures, and real-time data pipelines.
Familiarity with microservices architecture and best practices in system design.
Experience with cloud platforms (GCP preferred) and modern software development workflows, including CI/CD pipelines.
Ability to write clean, maintainable code with sufficient unit and integration test coverage.
Strong debugging skills and ownership of code quality, both individually and within the team.
Experience building AI driven, data intensive, or customer facing products is a strong advantage.
Empowered product teams that solve customer and business problems.
Objective-based planning and experimentation-driven delivery.
Product-led growth.
We look at product metrics daily, we speak to our customers and do it often.
Outcomes and bringing value to our customers over outputs and feature factories.
Ship to learn. Experimentation to validate hypotheses and assumptions.
Truly embracing data-driven decisions.
Gross salary starting point from 8000 EUR/month based on experience.
An unlimited learning budget for self-improvement complying with the best interest of Omnisend.
Working methods and best practices inspired by the best tech companies in Silicon Valley.
Senior colleagues (over 70%) enable us to have a high-performing, productive environment where your growth will accelerate.
Flexible working hours and remote work possibilities.
Private health insurance.
Unlimited access to psychotherapy.
Workstation budget.
Personalised work anniversary gifts (house cleaning, spa treatments, international flights etc.).
Attractive company-led yearly workation abroad and team-led team-building events.
Education Stipend
Unlimited learning budget for self-improvement complying with the best interest of Omnisend.
Flexible Work Hours
Flexible working hours and remote work possibilities.
Health Insurance
Private health insurance.
Yearly workation and team-building events
Attractive company-led yearly workation abroad and team-led team-building events.
Omnisend builds an ecommerce-focused email and SMS marketing automation platform that empowers over 150,000 brands to grow their revenue effortlessly. With seamless integrations and intuitive tools, it streamlines complex marketing processes, making it easier for ecommerce teams to connect with their customers and enhance their online presence.
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Engineering Manager Q&A's