As a Senior Director of Engineering at Highspot, you will inspire, lead, and grow a team of creative and talented core engineers who manage, scale, and invent the future of Highspot s application platform. You ll bring your deep technical expertise and proven people management skills to bear on strategic decisions about our technical ecosystem, department operations, team norms, and engineering culture. You ll also be a key member of the broader Product leadership team and a key decision-maker within your product area.
Responsibilities
Lead a team of engineers and managers, through whom you ll execute on the strategic direction of the Highspot platform, inspiring and motivating teams to do their best work
Effectively collaborate with key partners in your product area, including Product Managers, DevOps, TPMs, Security, Data Science, Services/Support, and BI
Uphold and build upon Highspot s culture, ensuring that Engineering is a welcoming, inclusive place, and that we not only meet our DE&I goals but lead Seattle s tech industry with our commitment to diversity
Bring your technical expertise to bear as you work closely with the Architects and Data Science teams to manage the evolution of Highspot s platform; ensure that our architecture and stack are optimized to keep pace with the demands of hyper-growth; position all of Highspot s products for continued high-availability and reliability across multiple worldwide data centers
Deeply understand the importance of high availability and service reliability to Highspot s strategic mission; leverage your expertise to define KPIs and growth plans for our core software infrastructure data platform
Enable product engineers to reliably deliver products that maximizes product quality, security and reliability, including partnering with the DevOps team to build and maintain highly-observable systems with excellent metrics and actionable alerts
Create a collaborative environment where all levels of engineers can contribute in meaningful ways
Partner with the Services team to understand what drives customer joy across our product and ensure your team works to address customer concerns in a timely manner
Partner with Architects team and CISO to design and implement proactive security postures for customer- and internal-facing systems
Advocate for the tools, process, and resources the core dev team needs to enable their ongoing success and unlock their ability to innovate
Mentor and guide the professional and technical development of the managers and engineers on your team
Define clear roles and responsibilities that ensure efficient decision-making, careful analysis of trade-offs, and a responsible balance of strategic business objectives, unique customer needs, operational necessities, and product quality
Ensure architects, stakeholders, and SMEs are appropriately involved in decisions
Ensure decisions are communicated within and outside team
Enforce accountability through empathetic, relevant, and objective performance targets and timely feedback and coaching
Advise the broader Product leadership team on the relative costs and benefits of various projects competing for Engineering resources
Required Qualifications
Minimum of 15 years in the software development industry with a minimum of 5 years of experience working in senior engineering leadership roles, including managing Engineering Managers
MS Degree or higher in Computer Science or related discipline, or equivalent experience
Extensive experience developing and scaling cloud-native applications and infrastructure
Proven success in attracting and retaining top engineering talent from diverse backgrounds
Proven success as a partner and collaborator who prioritizes the success of the team over individual aspirations
Entrepreneurial spirit, priding yourself on getting things done with a high level of quality
Previous experience designing and building software products at scale
Experience building and running a high-performance platform team that supports the needs of a complex product
Experience designing and building highly-scalable data systems, search systems, and machine learning platforms is a plus, but not required