Engineering Manager for Artificial Intelligence team (Engagement)

Become an Engineering Manager for Bloomreach! Lead our Artificial Intelligence team in unlocking omni-channel personalization with ML techniques. Your leadership and strategic direction will impact hundreds of millions of customers in the online space across dozens of different verticals in the e-commerce industry. Salary starts at 4000€ gross / month, along with stock options and other benefits. Working in one of our Central European offices or from home on a full-time basis, you´ll become a core part of the Engineering Team.

What challenge awaits you?

As the Engineering Manager for the Artificial Intelligence team, you will be tasked with the critical responsibility of balancing engineering and product needs. Your challenge will be to lead a team of talented engineers in developing and maintaining high-throughput and high-performance APIs for data inference as well developing and maintaining ML models and data processing pipelines for them. Your job will be also ensuring that the product's strategic objectives are met.

Your job will be to:

1. Guiding the team in delivering
   and balancing new features and maintenance tasks
2. Developing your team members
3. Collaborating with wider Product and Engineering departments

a. Guiding the team in delivering and balancing new features and maintenance tasks

• Lead a team of software engineers in the design, development, testing, and deployment of high-throughput and high-performance APIs and client-side scripts.
• Clarify scope and help the team to break down the projects into manageable tasks.
• Assure engineering and quality best practices are applied throughout the development process.
• Lead the team in continuous delivery and testing, ensuring that all products meet our high standards of quality.
• Elevate team needs and guide them on how to address maintenance tasks and tasks addressing technical depth.

b. Developing your team members

• Manage a team of people (6-10), coordinating the team to work towards a common goal, establishing a working plan, allocating resources, and assigning responsibilities.
• Foster a culture of continuous learning and improvement, providing opportunities for team members to develop their skills and knowledge.
• Take responsibility for the personal development and training of your team members, providing regular feedback and guidance to help them grow in their roles.
• Encourage team members to take ownership of their work, promoting accountability and a sense of pride in their contributions.
• Recognize and celebrate the achievements of team members, fostering a positive and motivating work environment.

c. Collaborating with wider Product and Engineering departments

• Contribute to the product roadmap, helping to define the strategic direction and mission for the team.
• Prepare for upcoming projects and participate in the prioritization process to ensure efficient workflow and resource allocation.
• Collaborate with the product team beyond the technical development and delivery process, assisting with product launch and adoption to ensure successful rollout and user engagement.
• Communicate and collaborate with other Engineering Managers and their teams, identifying and managing dependencies to ensure seamless integration and coordination.
• Represent the team in various discussions with internal stakeholders, advocating for the team's interests and contributing to company-wide decision-making processes.

What technologies and tools does the Artificial Intelligence team work with?

• Programming languages - Python 
• Google Cloud Platform services - Dataproc, VertexAI 
• Data Storage and Processing - Spark, TensorFlow 
• Software and Tools - Grafana, Sentry, Gitlab, Jira, Productboard, PagerDuty 

The owned area encompasses various domains such as Recommendations, Predictions, Contextual bandits, MLOps. Therefore, having experience in these areas would be beneficial. The team also works with large amounts of data and utilizes platforms and algorithms for model training and data processing pipelines. Experience in these areas is highly valued.

Your success story will be:

• In 30 Days: Gain understanding of company processes, team dynamics, and key features. Establish regular 1-on-1 meetings with team members.
• In 90 Days: Participate in project preparation and prioritization. Balance feature completeness, technical quality, and delivery speed in project execution. Ensure transparency in plans, progress, and findings.
• In 180 Days: Set and support personal development goals for team members. Become a trusted expert in your field. Identify and optimize efficient paths to achieve your goals and the goals of your team.

You have the following experience and qualities:

1. Professional — Proven experience in engineering leadership, project management, and software architecture.
2. Personal — Demonstrates strong initiative, ability to work independently, excellent communication skills, and a commitment to continuous learning and improvement.

Professional experience

• Proven experience as an Engineering Manager or similar role in a software development setting.
• Strong analytical and problem-solving skills, with the ability to break down complex situations and evaluate alternative solutions.
• Experience in leading a team in continuous delivery and testing, ensuring high-quality output.
• Demonstrated ability to contribute to product roadmaps and strategic direction.
• Experience in preparing for upcoming projects and participating in the prioritization process.
• Strong knowledge of software architecture principles and practices.
• Experience with Agile planning and methodologies.

Personal qualities

• Excellent communication and collaboration skills, with the ability to tailor communication to diverse audiences and build consensus.
• Proactive and persistent, with a strong initiative to seize opportunities and contribute to achieving goals.
• Ability to foster a culture of continuous learning and improvement within a team.
• Strong leadership skills, with the ability to set personal development goals for team members and guide them on their career paths.
• Ability to balance feature completeness, technical quality, and speed of delivery in project execution.
• Ability to identify and optimize efficient paths to achieve personal and team goals.

Excited? Join us and transform the future of commerce experiences.