• Own performance, development, and progression of your team • Own the individual performance and development of your direct reports, setting a high bar, giving honest feedback, and creating conditions for engineers to grow into real ownership. • Build a self-organised team, initially playing a facilitating role in ceremonies, with the explicit goal of no longer being needed to run the process. • Partner with Product on roadmap planning, making sure engineers understand the context behind the work, not just the tickets in front of them. • Own your team's delivery, keeping engineers unblocked, priorities clear, and commitments met. • Spot patterns in how your team operates, design better ways of working, and build the automation that powers those improvements. • Stay close enough to the codebase to spot friction, improve developer tooling, and engage credibly in technical discussions, without stepping onto the critical path. • Drive hiring alongside our Recruitment team, contributing to interview process design, and a high-quality candidate experience. • Set the cultural expectation around AI coding tools, building team-wide norms for responsible, high-quality AI-assisted engineering.

Role Description This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Manager Data Engineering - REMOTE. In this role, you will play a crucial part in shaping our data strategy and ensuring the reliability of our data models and pipelines. Your deep technical expertise combined with strong leadership skills will allow you to mentor teams, implement the latest data technologies, and drive operational excellence. You will be at the forefront of enhancing our data architecture, working closely with various departments to align data practices with business needs. The ideal candidate will not only manage teams but will also engage in hands-on technical work, ensuring the ongoing development of scalable data solutions. - Manage and guide data teams to execute on enterprise data strategy. - Provide technical guidance and mentor team members on data technologies. - Design end-to-end data processing for enterprise data warehousing. - Build scalable data pipelines for data loading. - Automate data operations for efficiency. - Ensure high reliability and performance of data pipelines. - Collaborate with engineering teams to optimize data solutions. Qualifications - BS in Computer Science or equivalent; MS preferred. - 5-10 years of experience in people management, particularly in data and analytics. - Proven experience in redesigning data pipelines and enterprise data models. - Mastery of modern data modeling patterns. - Strong expertise in SQL, Python, and tools like Informatica and DBT. - Experience with Lakehouse/Warehouse technologies. - Commitment to automation and engineering best practices. - Experience leveraging GenAI/LLMs to solve complex problems. Benefits - Competitive compensation. - Flexibility to work from anywhere in the United States. - Paid time off including vacation, sick leave, and holidays. - Incentive bonus programs. - Comprehensive health benefits including medical, dental, and vision. - 401(k) retirement plan with company match. - Opportunities for professional development and education assistance. - Engaging and collaborative work environment. - Recognition programs for employee achievements. - Health and wellbeing resources.

Role Description This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Manager Data Engineering - REMOTE. In this role, you will play a crucial part in shaping our data strategy and ensuring the reliability of our data models and pipelines. Your deep technical expertise combined with strong leadership skills will allow you to mentor teams, implement the latest data technologies, and drive operational excellence. You will be at the forefront of enhancing our data architecture, working closely with various departments to align data practices with business needs. The ideal candidate will not only manage teams but will also engage in hands-on technical work, ensuring the ongoing development of scalable data solutions. - Manage and guide data teams to execute on enterprise data strategy. - Provide technical guidance and mentor team members on data technologies. - Design end-to-end data processing for enterprise data warehousing. - Build scalable data pipelines for data loading. - Automate data operations for efficiency. - Ensure high reliability and performance of data pipelines. - Collaborate with engineering teams to optimize data solutions. Qualifications - BS in Computer Science or equivalent; MS preferred. - 5-10 years of experience in people management, particularly in data and analytics. - Proven experience in redesigning data pipelines and enterprise data models. - Mastery of modern data modeling patterns. - Strong expertise in SQL, Python, and tools like Informatica and DBT. - Experience with Lakehouse/Warehouse technologies. - Commitment to automation and engineering best practices. - Experience leveraging GenAI/LLMs to solve complex problems. Benefits - Competitive compensation. - Flexibility to work from anywhere in the United States. - Paid time off including vacation, sick leave, and holidays. - Incentive bonus programs. - Comprehensive health benefits including medical, dental, and vision. - 401(k) retirement plan with company match. - Opportunities for professional development and education assistance. - Engaging and collaborative work environment. - Recognition programs for employee achievements. - Health and wellbeing resources.

Job Link: https://ziphire.hr/job/a506cd85-edf2-4ce0-a720-0db17b26f351 Capital One Software is seeking a Senior Manager, Premium Support Engineer for our innovative Databolt platform, a pivotal role that ensures our clients receive exceptional technical support and product expertise. This position is crucial in maintaining our commitment to delivering high-quality service and enhancing customer satisfaction. As a leader in this dynamic team, you will drive strategic initiatives that empower our engineering staff while reinforcing the importance of our client relationships in a rapidly evolving technology landscape. In this role, you will oversee a team of skilled support engineers, guiding them through complex technical challenges while implementing best practices in customer service. Your responsibilities will include developing support strategies, optimizing operational workflows, and collaborating closely with product and engineering teams to address customer needs effectively. You’ll also be instrumental in defining performance metrics and fostering a culture of continuous improvement to elevate the customer experience. The ideal candidate will possess a robust background in software engineering and technical support, coupled with leadership experience in managing high-performing teams. A degree in Computer Science or a related field is preferred, along with a proven track record of driving technical solutions in a customer-focused environment. Strong communication skills and the ability to translate complex technical concepts for diverse audiences are essential. This opportunity at Capital One Software offers a unique chance to influence the trajectory of our Premium Support team while working remotely. You will be at the forefront of technological innovation in the financial sector and play a key role in transforming how our clients utilize the Databolt platform. Join us, and be part of a collaborative culture dedicated to excellence, creativity, and growth in the technology industry.