Solutions Engineer, AI jobs in United States
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PreSales Collective · 1 day ago

Solutions Engineer, AI

PreSales Collective is pioneering AI-native coaching solutions for enterprises. The Solutions Engineer will lead the design and implementation of tailored enterprise AI workflows, collaborating with various teams to ensure the effectiveness and safety of AI systems.

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Responsibilities

Own end-to-end AI solutions: Lead the full lifecycle for enterprise-grade workflows, from discovery and design through implementation, evaluation, and iteration
Architect for reuse: Identify repeatable patterns, modularize components, and define when to productize; communicate tradeoffs across speed, quality, and maintainability
Drive quality and evaluation: Define prompting standards, guardrails, and success metrics (accuracy, tone, safety, outcome quality). Build lightweight evaluation frameworks that scale across clients
Make hard tradeoffs: Balance speed vs. scalability; protect the platform from over-engineering while ensuring customers see real value quickly
Collaborate deeply: Partner with Product, AI Engineering, and Coaching SMEs to deliver solutions with measurable impact
Mentor and level up others: Guide associates or EMs learning prompting and integration skills; contribute to playbooks, templates, and internal training
Measure outcomes: Track deployment speed, adoption, satisfaction, and quality; identify opportunities for reusability and efficiency gains

Qualification

LLM/AI experienceSolutions engineeringStakeholder managementPrompt designQuality mindsetStartup experienceGrowth mindsetCollaboration skills

Required

3+ years in solutions engineering, forward-deployed engineering, or consulting engineering, ideally with enterprise-facing experience. Open to less years for exceptional builders who ship and learn fast
LLM/AI experience: prompt design, evaluation, and deployment of LLM-powered systems. Understanding of memory/knowledge retrieval and safety/guardrails
Systems & judgment: track record of deciding what should be bespoke vs. reusable, designing for modularity without over-engineering
Enterprise craft: stakeholder management, discovery, and communication. You know when to push back and when to ship
Collaborate deeply: Partner with Product, AI Engineering, and Coaching SMEs to deliver solutions with measurable impact
Quality mindset: you hold the line on accuracy, safety, and performance while maintaining pragmatism
Growth mindset: Growth mindset focused on continuous skill development in rapidly evolving AI landscape

Preferred

Startup experience preferred with proven comfort navigating ambiguity and high-velocity execution

Benefits

Comprehensive health coverage (medical, dental, vision) from day one
Generous PTO, company-wide R&R shutdowns, and paid parental leave
Retirement plan support for US and global employees
Meaningful ownership in a venture-backed company at a growth inflection point
Top-up grants as we scale and you deliver exceptional performance

Company

PreSales Collective

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Community for all things PreSales: Leaders + Sales, Solution, Value Engineers + Solutions Architects + Aspiring SEs.

Funding

Current Stage
Early Stage

Leadership Team

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Jose Espinoza ☁
PreSales SoCal Co-Founder & PSC Regional Lead
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Company data provided by crunchbase