Solutions Engineer

Runlayer

$90K — $130K *
Nye, MT 59061In-Person
Technical Services
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of Solutions Engineering, Sales Architecture, or Field Deployment Engineering experience with a Computer Science background
  • Proven depth in solutions engineering or pre-sales with technical skill to write and debug production code
  • Hands-on experience in building AI agents with knowledge of architecture, memory, and tool design
  • Expertise in identity and authentication, multi-cloud platforms, security, networking, or observability
  • AI-native workflow experience - skilled at building with AI rather than just prompting
  • Strong executive presence to engage senior technical executives confidently
  • High agency and a proactive approach to problem-solving and solution delivery

Responsibilities

  • Own proof of concept (POC) outcomes for enterprise customers
  • Conduct pre-sales technical deep dives, demonstrations, and architecture discussions
  • Troubleshoot integrations across various customer environments including identity, security, and networking
  • Develop custom configurations and unique solutions when standard options are insufficient
  • Facilitate technical onboarding sessions and workshops for customer adoption
  • Act as the technical authority during sales cycles, addressing challenging inquiries from senior engineers

Benefits

  • Competitive salary and equity reflecting expertise and customer-facing roles
  • Generous paid time off including vacation, sick leave, and parental leave
  • Budget for professional development in AI, enterprise software, and customer success
  • Choice of high-quality equipment to optimize your work environment
  • Comprehensive health benefits including medical, dental, and vision coverage
  • Opportunities for direct customer interaction with impactful results
Full Job Description
As a Solutions Engineer, you9ll own the technical side of customer GTM at Runlayer. You9ll run POCs, troubleshoot integrations, and work closely with enterprise customers to get them live.

Why you9ll thrive here
  • Impact: if a POC ships, you made it happen. You9re directly responsible for turning prospects into customers.
  • Excellence: work alongside experienced engineers at the intersection of enterprise sales and deep technical work.
  • Ownership: own customer outcomes end-to-end, from first technical deep dive through full deployment.


What you9ll do
  • Own POC outcomes for enterprise customers.
  • Run pre-sales technical deep dives, demos, and architecture discussions.
  • Troubleshoot integrations across customer environments (identity, security, networking).
  • Build custom configurations and one-off solutions when the standard path doesn9t fit.
  • Run technical onboarding sessions and adoption workshops.
  • Be the technical expert in the room during sales cycles, handling stump questions from senior engineers.


What we9re looking for
  • 5+ years of SE / SA / FDE experience with a CS background
  • Background in solutions engineering, pre-sales, or consulting with real technical depth. You can write and debug production code independently, not just run demos.
  • Hands-on experience building AI agents. You can talk through architecture, memory, and tool design.
  • Depth in at least one area relevant to our space: identity and auth, MCP, agent frameworks, security, deployment, networking, observability, etc
  • AI-native workflow. You use AI to build, not just to prompt.
  • Executive presence. You can walk into a room of senior technical executives and hold the conversation.
  • High agency. You solve problems with high ownership and the drive to make sure a solution is delivered.


Bonus
  • Prior solutions, pre-sales, or forward-deployed role at a high-growth B2B startup.
  • Open-source contributions or content in agent, identity, or policy spaces


What We Offer

We provide a competitive package designed to attract and retain top talent who can work effectively with enterprise customers.
  • Competitive salary and equity - compensation that reflects your expertise and customer-facing responsibilities.
  • Paid time off - 4 weeks paid vacation, paid sick leave, and paid parental leave.
  • Professional development - budget for conferences, courses, and certifications in AI, enterprise software, and customer success.
  • Top-tier equipment - your choice of laptop and accessories to create your ideal work environment.
  • Health benefits - comprehensive health, dental, and vision coverage.
  • Customer interaction opportunities - work directly with innovative companies and see the immediate impact of your work.


Not quite the right fit? Reach out to with details about your experience and interests.

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