Amazon
Aerospace Transformation Business Dev leader, Auto & Manufacturing Industry Specialists and Solutions
$148K–$200K
Seattle, WA · Full-time · Posted Oct 1, 2026
- Experience
- 8+ years of experience in the aerospace industry in business development, management consulting, solution sales, product management, or programme management, spanning one or more of commercial aviation, defense, space, or MRO.
- Education
- Bachelor's degree in Mechanical Engineering, Aerospace Engineering, Manufacturing Engineering, or an equivalent field.
About the job
Build AWS’s aerospace business development strategy across NAMER, engaging aerospace leaders and developing customer opportunities, partnerships, and go-to-market solutions.
What you'll do
- Develop and execute aerospace business development strategy and manage a qualified customer pipeline.
- Engage C-level and VP stakeholders to shape cloud-enabled transformation opportunities and position AWS as a long-term partner.
- Build strategic partner motions and collaborate across AWS teams to develop aerospace-specific solutions and go-to-market plays.
What they ask for
- Bachelor's degree in Mechanical Engineering, Aerospace Engineering, Manufacturing Engineering, or an equivalent field.
- Demonstrated experience engaging and influencing C-level and VP executives at major aerospace companies.
- Strong understanding of the aerospace value chain, operational challenges, regulatory compliance, and sovereignty requirements.
- Proven ability to develop and execute market development strategies that deliver measurable pipeline and revenue results.
Nice to have
- MBA or Master's degree in Aerospace Engineering, Operations Research, Supply Chain, or related field.
- Experience with aerospace-specific technologies, aerospace transformation, or incubating new market segments.
Pay
147,900.00 - 200,100.00 USD annually (base salary)
Tools
SAP, PTC Windchill, Dassault 3DEXPERIENCE, Siemens Teamcenter, IFS, AI/ML, IoT, HPC
AI focus
Position AWS AI/ML for engineering and production-grade AI deployments; develop opportunities involving predictive maintenance, digital twins, and aerospace engineering workloads.
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