Who are we?
We are Nominal, and we’re building the financial operating system for the most ambitious and fast-growing companies of our generation. We combined big data and GenAI to disrupt the ERP space that hasn’t changed in the last 25 years - and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to enhance the global economy while doing the most important work of your career.
Nominal’s culture is fast-paced, dynamic, with high focus on execution. The team includes engineers and operators from Netapp, Microsoft, Varonis, BigPanda, Riskified, HiBob, Armis, CheckPoint, and similar backgrounds. Expect an environment where smart, hands-on leadership is celebrated, and thoughtful ownership, initiative and open communication are part of the core values.
We’re looking for a Go-To-Market Engineer to sit at the intersection of product, sales, marketing, and engineering, helping us design, build, and scale systems that drive revenue growth.
Join our journey
This is a highly technical, builder-first role embedded in GTM.
You will act less like a traditional marketer and more like a systems engineer for revenue generation. Your focus is to design, build, and optimize automated outbound and GTM infrastructure using data, APIs, and AI tools. You’ll partner closely with Sales, Marketing, and Product to create systems that improve lead generation, conversion rates, sales efficiency, and customer engagement.
You’ll experiment constantly, move fast, and build workflows that directly impact pipeline generation.
Responsibilities and Impact
- Build and maintain scalable outbound systems, Lead sourcing, enrichment, routing, scoring, and outreach workflows, using modern GTM tooling (e.g. Clay and similar platforms)
- Design automated workflows connecting data sources, APIs, and enrichment tools
- Work with SQL and data analysis to improve targeting, segmentation, and lead quality
- Experiment with AI tools to create personalization and enrichment at scale
- Prototype and test new outbound approaches quickly (messaging, signals, targeting, workflows)
- Identify bottlenecks in GTM processes and replace manual work with automation
- Partner closely with sales and founders to improve pipeline generation efficiency
- 2–5 years of experience in a technical or analytical role
- Background in data, BI, RevOps, growth, analytics, or engineering
- Strong foundation in SQL (or similar data querying experience)
- Comfortable experimenting with tools like Clay, Airtable, Zapier, APIs, or similar systems
- Think in systems and workflows — you naturally connect tools and processes
- Highly curious, resourceful, and enjoy building or hacking solutions from scratch
- Fast-moving, experimental, and motivated by impact over process
- Experience in early-stage startups (Series A–C)
- Exposure to fintech, AI, or developer tools
- Experience building internal tools for sales or marketing teams
- Familiarity with LLMs / AI workflows for automation or personalization
- Prior experience in growth engineering, RevOps, or sales engineering
- A clear path to promotion for leadership and individual contributor roles.
- Opportunities to attend conferences, take courses, and participate in other enriching activities for personal and professional growth.
- WFH stipend
Skills Required
- 2-5 years of experience in a technical or analytical role
- Background in data, BI, RevOps, growth, analytics, or engineering
- Strong foundation in SQL or similar data querying experience
- Comfortable experimenting with tools like Clay, Airtable, Zapier, APIs, or similar systems
- Think in systems and workflows
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.
