We are looking to add a Senior Technical Program Manager to support our software development efforts. You will pair with technical leads to plan and execute a continuous stream of small projects that support the software build-out and development of automation capabilities to fabricate and operate our quantum hardware. The projects a successful candidate will work on span a broad range of topics, including the development and implementation of new of tools to ingest data, accelerate testing, streamline and automate operations. These projects do not work on the actual quantum hardware, but rather are meant to drive efficiency, and accelerate our hardware development effort. This role will operate in an environment with a high degree of ambiguity, where the scope and deliverables are fluid, but where a successful applicant can navigate these challenges to make detailed plans and negotiate resources across a matrixed organization. Given the diversity of projects, a successful applicant will have an opportunity to gain familiarity with all aspects of hardware development and testing for quantum computing, and thus will require a capability to multitask paired with an innate curiosity to dive deep.You will partner with other TPMs and work across team boundaries and project lines to identify and unblock resource conflicts. You will leverage your experience in managing complex technical programs to make data-informed decisions at a programmatic level. In this role, you will also support the definition of technical project management standards across the Center of Quantum Computing. Additionally, as an experienced project manager, you will have the opportunity to contribute to shaping our general project management practices across the organization. This includes improving our general lifecycle approach for projects, while also increasing our ability to promote visibility of project progress to other teams and senior leadership. Familiarity with system engineering topics that intersect with project management, such as quantitative risk management, reviews, and requirements management is highly desirable.*Why AWS*
*Diverse Experiences*
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.*Work/Life Balance*
*Inclusive Team Culture*
*Mentorship and Career Growth*
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Key job responsibilities
1. Identify opportunities where inhouse developed software can streamline our internal hardware and software workflows.
2. Develop requirement documents that translate customer needs into software workable solutions.
3. In collaboration with our software managers develop plans (including identifying resources) to develop our internal software platforms.
4. Support the internal roll-out and adoption of these tools.
5. Compile customer feedback and use this to drive incremental improvements of existing software tools.
- Bachelor's degree in engineering, computer science or equivalent
- 7+ years of technical program management working directly with software engineering teams experience
- Experience leading highly technical programs involving infrastructure, complex systems, systems engineering
- Experience in project management disciplines including scope, schedule, budget, quality, along with risk and critical path management
- 5+ years of experience interfacing with software/hardware teams in an academic or R&D space.
- Experience communicating with technical and non-technical stakeholders.
- Master's or PhD in a relevant topic (computer science, math, physics, etc.).
- Demonstrated ability to implement both agile and traditional ‘waterfall’ project management practices.
- Demonstrated ability to dive deep in at least one engineering domain other than software.
- Experience in the application of machine learning and AI tools to improve or automate a design, production, or testing processes in an industrial context.
- Familiarity with cloud-based architectures, ideally based on Amazon Web Services.
- Excellent written and oral communication skills.
- Familiarity with the layers of the quantum computing stack and the quantum devices lifecycle would be an advantage.
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