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.
Senior Software Engineer - Sales Engg
Bangalore (In-office) · Full-time · Sales
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—RAG, tool-calling, structured outputs, and evals—into customer-facing demos and proof-of-concepts.
- Work fluidly across multiple codebases, repos, and the full stack (frontend, backend, infra) to ship features from design to production.
- Be the product expert in sales engagements—answer technical and business questions, deliver custom demonstrations, articulate value, and provide technical competitive differentiation.
- Partner with Account Executives to tailor experiences to specific FI personas (VP Contact Center, VP Lending, VP Collections) with real data and live flows.
- Own technical writing for business-critical RFPs, RFIs, and security questionnaires, and maintain an accurate response library.
- Channel prospect and customer feedback back to Product, Marketing, and Leadership to shape the roadmap.
- Represent interface.ai at client events and tradeshows, and document client expectations and solutions sold for clean handovers to delivery.
What You Will Bring
- 4–10 years of total technical experience, with hands-on full-stack software engineering (frontend, backend, and APIs).
- Demonstrated ability to ship products end-to-end—you build things real users touch, with strong instincts for UX, latency, and the moment a user either “gets it” or bounces.
- Hands-on experience integrating GenAI / LLMs into real applications—RAG, function/tool calling, structured outputs, evals—not just API wrappers.
- Strong B2C product experience; consumer-grade sensibility applied to enterprise demos and self-serve experiences.
- Comfort working across multiple codebases, repos, and stacks with high autonomy—TypeScript/React and Python preferred.
- Familiarity with or strong interest in computer-use / agentic application development.
- High agency—you see a gap in the sales motion, build a tool for it, ship it, and tell the team. You don’t wait for tickets.
- Engineering or computer science background (mandatory).
- 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.
- Experience in a B2B SaaS startup environment; 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.
At Interface.ai, we are committed to providing an inclusive and welcoming environment for all employees and applicants. We celebrate diversity and believe it is critical to our success as a company. We do not discriminate on the basis of race, color, religion, national origin, age, sex, gender identity, gender expression, sexual orientation, marital status, veteran status, disability status, or any other legally protected status. All employment decisions at Interface.ai are based on business needs, job requirements, and individual qualifications. We strive to create a culture that values and respects each person's unique perspective and contributions. We encourage all qualified individuals to apply for employment opportunities with Interface.ai and are committed to ensuring that our hiring process is inclusive and accessible.
.png){kind=logo}
