Slingshot Aerospace

We build space simulation and analytics solutions to bring clarity to complex environments and create a safer world.

Senior Solutions Architect, Data Scientist, Systems Engineer

Solutions EngineerSolutions EngineerFull TimeRemoteTeam 51-200Since 2020H1B No SponsorCompany SiteLinkedIn

Location

Arizona + 28 moreAll locations: Arizona, California, Colorado, District of Columbia, Florida, Hawaii, Illinois, Kansas, Montana, Nevada, New Jersey, New Mexico, New York, North Carolina, Oregon, Maryland, Massachusetts, Michigan, Minnesota, Missouri, Rhode Island, Tennessee, Texas, Utah, Vermont, Virginia, Washington, West Virginia, Wisconsin

Posted

45 days ago

Salary

$99K - $166K / year

Bachelor Degree8 yrs expEnglish

Job Description

• 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%)

Job 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

Benefits

  • Health insurance
  • 401(k) matching
  • Flexible work hours
  • Paid time off
  • Remote work options

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