Partner Solutions Engineer (NAMER & LATAM)

San Francisco, United StatesHybrid

Responsibilities

Support qualified partner-sourced and partner-influenced opportunities where technical credibility can improve conversion, velocity, ACV, or expansion.
Enable partner-led POCs from the back end through architecture review, evaluation design, and risk guidance.
Build reusable partner assets including golden demos, technical playbooks, reference architectures, integration guides, and objection-handling materials.
Support technology partners by validating integration use cases, improving marketplace quality, and translating ecosystem

Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences.
Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey – from service, to sales, to ecommerce.
Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration.
Evangelize Fin’s AI-first customer service transformation story to partner executives, sellers, architects, and consultants.
Deep technical understanding of AI agents, customer support operations, APIs, integrations, workflows, and enterprise evaluation processes.
Ability to teach complex technical concepts clearly. •
Experience in Solutions Engineering, Partner Engineering, Field Engineering, Solutions Architecture, or Technical Enablement.
Experience with AI, automation, customer service platforms, or enterprise SaaS ecosystems. •
Experience supporting strategic integrations, APIs, or marketplace partner motions. •
Experience with GSI or services partner enablement. •
Experience supporting partner-sourced or partner-influenced revenue motions. Benefits
Unlimited access to Claude Code and best-in-class AI tools; experimentation & building is encouraged & celebrated.
*Proof of eligibility to work in the United States is required.

Fluent in Spanish and/or Portuguese Bonus skills & attributes •
Competitive salary and meaningful equity
Comprehensive medical, dental, and vision coverage
Regular compensation reviews - great work is rewarded!
Flexible paid time off policy
Paid Parental Leave Program
401k plan & match
The OTE range for candidates within the San Francisco Bay Area is $212,000-$257,000.
Actual base pay will depend on a variety of factors such as education, skills, experience, location, etc. The base pay range is subject to change and may be modified in the future.
All regular employees may also be eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs). #LI-Hybrid Policies

Fin can also be combined with our natively integrated Intercom help desk for one single system that is designed to meet the needs of modern day support teams.
Founded in 2011, Fin became one of the fastest growing companies and remains one of the largest private software companies in the world with nearly 30,000 global businesses using our products to transform their customer support.
Driven by our core values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers.
You will help GSIs, strategic solution and services partners, and technology partners become credible, self-sufficient advocates and operators of Fin.
Your job is not to qualify partners or act as a support desk.
Your job is to create leverage: enabling partners to source, influence, co-sell, evaluate, integrate, and deliver Fin in ways that grow revenue and improve customer outcomes.
Partner with Sales Enablement, PMM, Product, R&D, Partner Managers, Deployment Services, and Customer Success to create one consistent enablement standard.
Remove noise from the SE organization by redirecting unqualified, low-value, or support-oriented partner requests. What skills do I need?
Comfort working with GSIs, services partners, implementation partners, ISVs, and technology partners.
Strong judgment on prioritization and when to scale vs. go bespoke.