Software Engineering Manager

Short Description:

We are seeking a highly skilled and experienced Product Team Technical Supervisor to lead one of our key product teams within the Industrial System Analytics (ISA) product group, focusing on Design Cost & Complexity. This role reports directly to the Product Line Owner and is critical for driving the development and delivery of cloud-native analytical solutions that integrate robust software engineering with advanced data science capabilities.

Description:

The successful candidate will lead a multidisciplinary team comprising Software Engineers, Data Scientists, Product Managers, Designers, and Technical Anchors. This position requires a strong technical background in software development, a solid understanding of data science principles, and proven leadership capabilities to guide a diverse team in delivering innovative and impactful products from concept to production.

Responsibilities:

As the Product Team Supervisor, you will be responsible for:

Team Leadership & Management:

• Directly manage and mentor a product team of approximately 10 individuals across various disciplines including Software Engineering, Data Science, Product Management, Design, and Technical Anchoring.
• Foster a high-performing team culture, providing coaching, career development guidance, and performance management to optimize individual and team contributions.
• Ensure the team is well-supported, identifying and addressing impediments to productivity and flow.

Technical Product Ownership & Delivery:

• Provide hands-on technical leadership, guiding the team in architectural design, software development best practices, and the implementation of scalable, reliable, and performant cloud-native applications.
• Oversee the entire product development lifecycle, from Proof-of-Concept (POC) to production-ready solutions, ensuring robust engineering and timely delivery.
• Collaborate with Product Managers to translate business requirements into technical specifications, prioritize backlogs, and ensure delivered software aligns with desired business outcomes.
• Champion code quality, participate in technical reviews, and ensure adherence to engineering standards and security protocols.

Software & Data Integration:

• Partner closely with Data Scientist colleagues to integrate advanced analytics, machine learning models, and data-driven insights into product solutions.
• Work with Data Factory teams to establish efficient data ingestion pipelines and support the creation of valuable data products.
• Drive the exploration and implementation of emerging technologies such as Generative AI (Gen AI) and Large Language Models (LLMs) to enhance product capabilities and foster innovation.
• Ensure MLOps principles are applied for the effective deployment and management of machine learning components within products.

Process Optimization & Collaboration:

• Promote and enforce Agile software development methodologies, Product Development Organization (PDO) models, and DevSecOps practices (CI/CD, TDD, etc.) to maximize efficiency and quality.
• Facilitate regular governance ceremonies, track flow metrics, and leverage data to inform decision-making and continuous improvement.
• Identify and resolve technical blockers, manage dependencies, and orchestrate cross-functional collaboration across product groups and internal teams.
• Build strong relationships with peer Product Line Managers, Data Science partners, and Chief Architects to identify emerging foundational product needs and drive cross-functional integration.

Qualifications:

Experience:

• 10+ years of progressive experience in software delivery and product development roles.
• 5+ years of experience in a leadership role managing software engineering and/or data engineering teams.
• Demonstrated track record of successfully leading and delivering complex products with integrated software, machine learning, and data components.
• Proven ability to operate effectively and deliver results in ambiguous and rapidly evolving business environments.

Technical Skills:

• Strong technical proficiency in programming languages such as Java, Python, and JavaScript, including experience with relevant frameworks (e.g., Spring, , React, Angular).
• Deep expertise in cloud platforms, with significant experience in Google Cloud Platform (GCP) services (e.g., BigQuery, GCS, Dataflow, Dataproc).
• Solid understanding of system architecture principles, microservices, APIs, and experience in designing and deploying cloud-native applications.
• Familiarity with MLOps concepts and experience integrating data science models into production systems.
• Understanding of Generative AI (Gen AI) and Large Language Models (LLMs) with a demonstrated interest in their practical application.

Methodologies & Tools:

• Comprehensive understanding and practical application of Agile and PDO methodologies.
• Experience with DevSecOps practices and tools (e.g., CI/CD pipelines, Docker, Kubernetes, GitHub, Jira).

Leadership & Soft Skills:

• Exceptional interpersonal, communication, and negotiation skills, with the ability to build strong relationships and influence stakeholders at all levels.
• Demonstrated ability to lead, mentor, and motivate diverse technical teams.
• Strong problem-solving abilities, adaptability, and the capacity to manage multiple priorities in a fast-paced environment.

Education:

• bachelors degree in computer science, Computer Engineering, or a closely related technical field.
• Google Cloud Platform certifications (e.g., Google Digital Leader) are preferred.