Solutions Engineer II
Echodyne
LinuxPython
Solutions Architect, Data & AI
Rescale
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteSalary
💰 $120,000 - $170,000 per year
Job Level
Mid-LevelSenior
About the role
- Partner with account teams to engage strategic customers and uncover workflows and technical needs across simulation, data, and AI
- Design end-to-end solutions leveraging Rescale Data Intelligence and Rescale AI Physics to enable next-generation engineering workflows
- Set strategic vision by aligning Data Intelligence and AI Physics capabilities with customer priorities in simulation, AI, and digital engineering
- Build trusted relationships with technical leaders and stakeholders to influence adoption strategies and long-term technology roadmaps
- Capture and document customer requirements, workflow gaps, and adoption blockers
- Provide structured field feedback to Product and Engineering to guide roadmap prioritization and evolution of agentic engineering capabilities
- Collaborate on iterative testing cycles to validate new features and capabilities before GA release
- Develop technical collateral including solution briefs, integration guides, and best practices for AI Physics and agentic engineering workflows
- Support internal enablement by contributing to training materials and field readiness resources for Data & AI
- Work with Marketing, Sales, and Customer Success to accelerate adoption and drive measurable impact of Data Intelligence and AI Physics solutions
- Operate as a strategic overlay on top of Rescale’s core team, providing Data & AI guidance to elevate customer engagements and ensure successful adoption
Requirements
- 3–6 years in solutions architecture, customer success, technical consulting, or product-facing engineering
- Track record of working effectively in fast-moving, experimental environments (iteration and adaptability)
- Familiarity with simulation workflows, engineering data management, or AI/ML integration
- Understanding of AI Physics models and agentic engineering workflows
- Ability to translate complex technical workflows into clear customer value and strategic implementation plans
- Skilled in conducting technical and executive discovery sessions and building trust with engineering leaders
- Strong communicator able to articulate strategy, technical value, and AI-driven innovation across audiences
- Business mindset to drive customer adoption, inform product direction, and influence commercial outcomes
- Experience running pilots or early-access programs to validate product-market fit and drive adoption
- Strategic thinker with a bias for action and a fail-fast, learn-fast mindset
- Passionate about innovation and AI-driven engineering
- Domain experience in automotive, aerospace, energy, manufacturing, life sciences, or semiconductors (nice-to-have)
- Willingness/ability to work in the United States and complete a background check
Benefits
- Offers Equity 📊 Resume Score Upload your resume to see if it passes auto-rejection tools used by recruiters Check Resume Score
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
solutions architecturetechnical consultingAI Physicssimulation workflowsengineering data managementAI/ML integrationtechnical discovery sessionsproduct-market fit validationiterationadaptability
Soft skills
strong communicatorstrategic thinkertrust buildingbusiness mindsetpassionate about innovationfail-fast mindsetlearn-fast mindsetability to translate complex workflowscollaborationinfluence
