Sr. Engineering Manager, Data Platform

As a Sr. Engineering Manager at Haus, you will drive engineering execution within the Data Platform team, collaborate to craft the team’s vision, and make key first-principle decisions alongside product managers and infrastructure teams. You will also oversee the delivery of high-quality systems while mentoring and growing a team of engineers in their professional development.

Haus seeks candidates with at least 5 years of experience managing engineering teams focused on data systems, alongside a total of 10 years in software engineering roles. Ideal candidates should have a proven track record of building data-driven products from the ground up and possess a blend of technical skills and leadership experience.

Essential skills for the Sr. Engineering Manager position at Haus include strong execution skills, the ability to maintain project timelines, proficiency in leading engineering teams, and experience with scalable data systems. Familiarity with data science or machine learning workflows is a bonus. The ideal candidate balances technical knowledge with the ability to inspire and guide others.

At Haus, we are committed to the growth of our employees, especially in leadership roles like Sr. Engineering Manager. Support includes access to necessary tools and resources, performance feedback, opportunities for mentorship, and a culture that encourages innovation, learning, and growth in a collaborative environment.

The team culture at Haus is dynamic, collaborative, and focused on impact. As a Sr. Engineering Manager, you'll work closely with engineers and data scientists, fostering open communication and collaboration to swiftly tackle challenges. We encourage innovation and value everyone's contribution, ensuring a supportive environment where all voices are heard.

When answering, emphasize specific projects where you successfully led engineering teams to develop data systems. Discuss challenges encountered and how your leadership contributed to overcoming them, showcasing your ability to guide your team while meeting project goals.

Illustrate your approach to prioritization by mentioning specific frameworks you use, such as the Eisenhower Matrix or Agile methodologies. Explain how considering business impact and aligning team strengths with project needs allow you to make informed decisions that balance multiple initiatives effectively.

Discuss your experiences with methodologies like Agile or Scrum that promote regular collaboration. Share how you ensure open lines of communication across teams and leverage tools that enhance transparency and track progress, ensuring that everyone remains aligned on project goals.

Share your strategies for maintaining quality, such as implementing rigorous code reviews, encouraging automated testing, and setting clear expectations for deliverables. Highlight how you foster a culture of accountability and continuous feedback to maintain high standards of excellence.

Prepare a narrative about a specific challenge where you had to navigate technical roadblocks. Emphasize the steps you took, including decision-making processes, collaboration with experts, and the lessons learned, demonstrating your problem-solving abilities and leadership under pressure.

Discuss how you create development plans that cater to individual strengths and interests, offering support through regular check-ins, providing challenges that promote learning, and encouraging participation in decision-making processes. Illustrate the importance of coaching in instilling confidence and fostering growth.

Articulate your commitment to continuous learning by mentioning resources you follow, such as industry blogs, webinars, or conferences. Share how you encourage your team to engage in learning opportunities and create an environment where knowledge sharing is valued.

Explain your approach to conflict resolution, stressing the importance of open communication, active listening, and empathy. Detail how you facilitate discussions to ensure all perspectives are considered, leading to constructive outcomes and maintaining team cohesion.

Discuss methods such as OKRs (Objectives and Key Results) or KPIs (Key Performance Indicators) that you employ to assess both team and individual performance. Emphasize how data-driven insights guide your team's direction and drive accountability for achieving results.

Share your enthusiasm for Haus's innovative culture and commitment to democratizing access to decision science tools. Discuss how being at the forefront of technology in a rapidly evolving field aligns with your career aspirations and passion for leading impactful engineering initiatives.