Interface AI

Financial Services

SeniorSoftwareEngineer-SalesEngg

Bengaluru, India
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Software Engineer - Sales Engg at Interface AI. Skills: Full-stack software engineering, GenAI/LLM integration, Sales Engineering. Design and build interactive demo experiences. Build PLG motion portals and self-serve experiences”

What You'll Achieve.

Drive pipeline; Direct, measurable impact on revenue; Shape the roadmap

Industry & Context.

Financial Services

What They're Looking For.

Must Have

Hands-on full-stack software engineering (frontend, backend, and APIs), Demonstrated ability to ship products end-to-end, Hands-on experience integrating GenAI / LLMs into real applications, B2C product consumer-grade sensibility applied to enterprise demos and self-serve experiences, Comfort working across multiple codebases, repos, and stacks with high autonomy, Engineering or computer science background, Ability to engage in value-driven conversations with CXO-level executives and explain technical concepts to non-technical audiences, Excellent written and verbal communication, including technical writing and formal presentation skills

Nice to Have

TypeScript/React and Python preferred, Familiarity with or interest in computer-use / agentic application development, Experience in a B2B SaaS startup selling to or building for Financial Services is a plus, Skill with prompt engineering techniques to enhance productivity and decision-making with generative AI tools

What You'll Do.

Design and build interactive demo experiences

Build PLG motion portals and self-serve experiences

Build and deploy computer-use agent applications

Integrate GenAI / LLM pipelines

Work fluidly across multiple codebases

Be the product expert in sales engagements

Partner with Account Executives

Own technical writing for RFPs/RFIs

Channel prospect and customer feedback

Represent interface.ai at client events

How You'll Work.

Team & Collaboration

Partner with Account Executives to tailor experiences; Channel prospect and customer feedback back to Product, Marketing, and Leadership

Communication Scope

Excellent written and verbal communication; Technical writing; Formal presentation skills; Articulate value; Explain technical concepts

Full Job Description

Banking is being reimagined—and customers expect every interaction to be easy, personal, and instant. We are building a universal banking assistant that millions of U. S. consumers can use to transact across all financial institutions and, over time, autonomously drive their financial goals. Powered by our proprietary BankGPT platform, this assistant is positioned to displace age-old legacy systems within financial institutions and own the end-to-end CX stack, unlocking a $200B opportunity and potentially replacing multiple publicly traded companies. Ultimately, our mission is to drive financial well-being for millions of consumers. With over two-thirds of Americans living paycheck to paycheck, 50% holding less than $500 in savings, and only 17% financially literate, we aim to put financial well-being on autopilot to help solve this problem. About the Role This is not a traditional Sales Engineering role. You are a builder who sits at the intersection of engineering and revenue—the person who turns a prospect’s “can it do this?” into a live, working experience they can touch. You will own the technical narrative across the deal cycle by writing code, not decks: building demo experiences, self-serve product-led-growth (PLG) portals, GenAI/LLM integrations, and computer-use agent applications that showcase what intelligent banking actually feels like. This is a high-visibility, high-agency individual contributor role with direct, measurable impact on revenue. What You Will Do Design and build interactive demo experiences and sandbox environments that prospects can explore without sales friction—product-led, not pitch-led. Build PLG motion portals and self-serve experiences end-to-end across frontend, backend, and LLM integrations—shipping to real users that drive pipeline. Build and deploy computer-use agent applications that demonstrate interface.ai’s agentic capabilities across real FI workflows (contact center, collections, lending). Integrate GenAI / LLM pipelines

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