Slingshot Aerospace is on a mission to enhance global security and disaster response through innovative space operations. The Senior Solutions Architect, Data Scientist & Systems Engineer will serve as a key technical partner, collaborating with various teams to develop scalable, data-driven solutions for government and commercial customers.
Responsibilities:
- Partner with Sales and Capture teams throughout the pre-sales lifecycle to support opportunity qualification, solution design, and technical alignment
- Engage directly with customers to understand mission objectives, operational workflows, data environments, and technical constraints
- Architect end-to-end solutions that integrate Slingshot products, data pipelines, analytics, and external systems
- Develop and deliver technical briefings, solution overviews, demonstrations, and whiteboard sessions for customer and partner audiences
- Translate customer requirements into clear technical inputs for Product and Engineering teams
- Apply data science and systems engineering principles to evaluate solution feasibility, performance, and scalability
- Support proposal development, including technical volumes, architectures, and solution narratives
- Collaborate cross-functionally to ensure proposed solutions are achievable, aligned to roadmap, and responsive to customer needs
- Provide feedback from customer engagements to inform product strategy and technical prioritization
- Perform other duties as assigned (less than 10%)
Requirements:
- 8+ years of professional experience in solutions architecture, systems engineering, data science, or related technical roles, or equivalent experience
- Experience supporting customer-facing or pre-sales technical engagements
- Strong understanding of system architectures, data flows, and analytical or software-driven solutions
- Ability to communicate complex technical concepts clearly to both technical and non-technical audiences
- Demonstrated experience collaborating across Sales, Product, and Engineering teams
- Bachelor's degree in engineering, computer science, data science, or a related technical field, or equivalent experience
- Ability to travel up to 20–25%, or equivalent flexibility
- Experience in a pre-sales engineer or solutions architect role supporting complex enterprise or government customers
- Background in data analytics, modeling, or applied data science
- Familiarity with space, defense, aerospace, or mission-focused technology domains
- Experience supporting proposal responses, RFIs, or customer demonstrations
- Comfort working in fast-paced, evolving technical and go-to-market environments