Sales Engineer

Posted 2 Days Ago
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New York, NY, USA
Hybrid
Senior level
Artificial Intelligence • Fintech • Payments • Software • Financial Services
The Role
Sales Engineer responsible for leading technical discovery, scoping and delivering customized demos and proofs of concept for finance teams. The role requires understanding accounting workflows, building AI agents on prospect data, addressing technical and security objections, creating reusable sales assets, and translating customer feedback into product improvements. Candidates need finance or accounting expertise, customer-facing SE experience with ERP or FP&A platforms, strong SQL and Excel skills, and hands-on experience with AI and LLM tools.
Summary Generated by Built In
Description

Help finance teams get real results from AI, not just another tool.

Finance teams still spend too much time on manual accounting work: reconciliations, close activities, investigations, and the workarounds that complex financial systems create.

Nominal is changing that. 

We're building an AI-native platform that lets finance teams stop doing that work by hand and start managing systems that do it for them. Our customers are growing companies with complex, multi-entity finance operations, and demand for what we've built is strong.

We move fast, we obsess over execution, and we value hands-on leadership, real ownership, and open, direct communication.

About the role

As the technical expert supporting our sales team, you'll own the path from discovery to demo. You'll learn how a prospect's finance team actually works and find the one workflow where an AI agent would change their month. Then you'll build that agent on their own data and show it to them.

What you'll own

  • Lead technical and process discovery with CFOs, Controllers and accounting teams: close process, reconciliations, intercompany, reporting, where the manual work sits
  • Scope the demo that will matter most to each prospect, based on their workflows and data
  • Build and deliver demos and POCs independently, end to end, on our platform using the prospect's data, and handle technical, security and data objections in the room
  • Call it early when a deal isn't a fit: know what we can deliver without custom engineering and what we can't, and turn what you learn in discovery into a list of what the platform supports and what it doesn't, so gaps surface before signature, not at kickoff
  • Become the person finance leaders trust on the domain: someone who understands their close as well as they do, not just the product
  • Create reusable demo templates, discovery frameworks and assets so every custom demo takes less work than the one before
  • Turn what you hear across deals into concrete input for product, and work with them directly on what we build next

You'll likely do well at Nominal if you:

  • Are genuinely excited about what AI is doing to finance
  • Work with curiosity - you dig into the customer's world, understand the problem deeply, and know how to bring the right stakeholders along
  • Are curious enough to understand a complex product and the problems behind it
  • Thrive in ambiguity and default to ownership
  • Take responsibility for outcomes and move quickly when things need to get done
  • Enjoy working closely with Product, Engineering, and leadership rather than staying in a sales silo
Requirements
  • A strong background in finance or accounting. You've done close reconciliations or financial operations yourself, or worked closely enough with finance teams to speak their language and understand their pain. This is a must.
  • 4-7+ years of total experience with 2 or more years as a customer-facing SE at an ERP or FP&A platform
  • Hands-on with data and building: strong SQL and Excel, and comfort configuring workflows, writing prompts or scripting to get an agent working on messy real-world data
  • You've built with LLMs or AI tools yourself (agents, automations, workflows) and can show us something you made
  • Able to run a room: clear, confident and credible with senior finance buyers, and able to help them trust and adopt AI in their workflows
  • Comfortable being the only person in your role and building process where none exists yet. 
Preferred Qualifications
  • CPA or equivalent accounting certification
  • Experience at an early-stage startup
  • Experience with close-management or finance-automation products
Benefits
  • A clear path to promotion for leadership and individual contributor roles.
  • A hybrid/remote working environment.
  • Opportunities to attend conferences, take courses, and participate in other enriching activities for personal and professional growth.
  • WFH stipend

Nominal is an equal-opportunity employer

Skills Required

  • Strong background in finance or accounting, including close reconciliations or financial operations experience
  • 4-7+ years of total professional experience
  • At least 2 years of customer-facing Sales Engineering experience at an ERP or FP&A platform
  • Strong SQL and Excel skills
  • Comfort configuring workflows, writing prompts, or scripting to make agents work with real-world data
  • Hands-on experience building with LLMs or AI tools, including agents, automations, or workflows
  • Ability to communicate clearly and credibly with senior finance buyers
  • Ability to work independently and build processes in an ambiguous environment
  • CPA or equivalent accounting certification
  • Experience at an early-stage startup
  • Experience with close-management or finance-automation products
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The Company
HQ: New York, New York
46 Employees
Year Founded: 2023

What We Do

We’re Nominal — the agentic AI platform built for modern finance. Nominal helps finance teams automate financial consolidation, intercompany eliminations, reconciliations, and reporting across complex, multi-entity structures — without changing their GL or ERP setup. Our AI agents handle the work spreadsheets weren’t built for, from revenue and accrual workflows to period-end processes. Nominal integrates directly with your systems and is up and running in days — no engineering required.

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