Description and Requirements
CareerArc Code
CA-BS
#LI-BS1
Hybrid: #LI-Hybrid
We9re looking for a Senior Manager, Product Development to lead a high-performing engineering team responsible for designing, building, and scaling the next generation of AI-powered products and platforms. This is a genuinely hands-on engineering leadership role, ideal for someone who has taken 0-to-1 products from early concept into production and is still comfortable writing code, contributing to implementation, and staying close to the technical detail while leading talented engineers across the United States and partnering with some of the brightest minds in AI, Product, and Engineering.
This is more than a leadership role. It9s an opportunity to be directly involved in building transformative, production-grade AI technology that will define how enterprises leverage AI for years to come.
Here is how, through this exciting role, YOU will contribute to BMC9s and your own success: - Lead, inspire, and develop a team of highly skilled software engineers, fostering a culture of innovation, accountability, inclusion, and engineering excellence.
- Stay hands-on with the codebase, contributing directly, reviewing technical implementation, shaping architecture and design decisions, and ensuring the team is building scalable, reliable, production-ready AI solutions.
- Drive the delivery of critical project initiatives, taking 0-to-1 Agentic AI capabilities from early concept through production at enterprise scale.
- Partner closely with Product Management, Architecture, AI Engineering, Data Science, and Design teams to deliver intelligent, customer-centric solutions.
- Help define the technical vision, engineering strategy, and execution roadmap for next-generation AI-driven products and services.
- Champion modern engineering practices, cloud-native development, automation, observability, and DevOps excellence to improve quality, velocity, and reliability.
- Build and scale distributed engineering teams while attracting, developing, and retaining top-tier talent.
- Foster a culture of experimentation and continuous learning, empowering engineers to innovate and solve complex customer challenges.
- Drive operational excellence across planning, execution, delivery, and post-release performance.
To ensure you9re set up for success, you will bring the following skillset and experience: - 10+ years of experience in software engineering, including multiple years leading and developing engineering teams.
- Proven experience in engineering leadership roles where you have remained deeply technical and hands-on, including direct involvement in code, implementation, technical reviews, and delivery decisions.
- Experience building, deploying, and scaling production-ready AI/ML-powered systems, with a strong understanding of what it takes to move AI capabilities from prototype into reliable, enterprise-grade products.
- Hands-on exposure to production AI technologies such as Agentic AI, Generative AI, LLMs, autonomous systems, AI orchestration frameworks, or intelligent workflow platforms.
- Proven experience delivering complex 0-1 SaaS products in cloud-native environments.
- Strong technical foundation in software architecture, distributed systems, cloud technologies, and modern development practices.
- Demonstrated success leading geographically distributed engineering teams while building an engaging and high-performance culture.
- Experience partnering with Product Management and business stakeholders to translate customer needs into impactful technical solutions.
- Strong understanding of Agile development methodologies and modern software delivery practices.
- Passion for coaching, mentoring, and developing future engineering leaders.
- Ability to balance strategic engineering leadership with hands-on technical execution, including writing code, contributing to implementation, reviewing technical solutions, and stepping into architecture, design, delivery, and operational decisions when needed.
While these skills are not required, they9ll help you stand out: - Experience building platforms, services, or developer ecosystems that support large-scale adoption.
- Familiarity with enterprise software, workflow automation, observability, or operations management solutions.
- Advanced degree in Computer Science, Engineering, Artificial Intelligence, or a related field.
Our commitment to you! BMC9s culture is built around its people. We have 6000+ brilliant minds working together across the globe. You won9t be known just by your employee number, but for your true authentic self. BMC lets you be YOU!
If after reading the above, You9re unsure if you meet the qualifications of this role but are deeply excited about BMC and this team, we still encourage you to apply! We want to attract talents from diverse backgrounds and experience to ensure we face the world together with the best ideas!
The annual base salary range represents the low and high end of the BMC salary range for this position. Actual salaries depend on a wide range of factors that are considered in making compensation decisions, including but not limited to skill sets; experience and training, licensure, and certifications; and other business and organizational needs.
The range listed is just one component of BMC9s employee compensation package. Other rewards may include a variable plan and country specific benefits.
At BMC, it is not typical for an individual to be hired at /near the top of the range. A reasonable estimate of the current range is $175,800 - $293,000
Min salary
175,800
Mid point salary
234,400
Max salary
293,000
Min Salary - NEW
175,800
Max Salary - NEW
293,000
