The Challenge
Nominal is disrupting the $25B ERP market with AI-powered financial operating systems. As GTM Engineer, you'll build the revenue infrastructure that scales their go-to-market from 0 to enterprise—designing systems, not running campaigns.
Your Mission
Map and document all existing GTM workflows; identify top 3 manual bottlenecks costing the team >5 hours/week
Build your first automated lead enrichment and scoring pipeline using Clay + SQL, improving lead quality by 20%+
Set up foundational dashboards (pipeline velocity, conversion rates, outreach metrics) in your data warehouse
Ship 2 AI-powered personalization experiments (messaging or targeting) and measure impact on reply/conversion rates
Own end-to-end outbound infrastructure: lead sourcing → enrichment → routing → scoring → outreach, fully automated
Reduce sales prospecting manual work by 40%+ through workflow automation and intelligent routing
Establish repeatable experimentation framework for new outbound channels, messaging, and targeting signals
Partner with founders to optimize pipeline generation; deliver 25%+ improvement in qualified pipeline volume
KPIs You'll Own
Pipeline Generation Efficiency
Cost per qualified opportunity and velocity from outreach to qualified conversation.
Lead Quality Score
% of leads meeting ICP criteria and conversion rate to first sales meeting.
Automation Coverage
% of GTM workflows fully automated vs. manual; hours saved per week.
Experimentation Velocity
Number of GTM hypotheses tested per month and learning ROI per experiment.
Tools & Stack
Your Team
Your Manager
Not specified (likely VP GTM or Sales/Marketing Leader)
Current Team
Sales, Marketing, and Product teams; engineering background present
New role; backfill for growth infrastructure gap
The Package
Salary
$120K-$160K base
Equity
Expected equity package (Series B/C); not specified
Remote
On-site, New York, NY; WFH stipend provided
Benefits & Perks
Company Intelligence
Nominal is an AI-powered financial operating system replacing legacy ERP with modern, data-driven tools for enterprise and mid-market. They're disrupting a $25B market that hasn't fundamentally changed in 25 years. Team includes senior engineers from Microsoft, Netapp, Varonis, and other tier-1 companies.
Funding
Series B/C implied (fast-growing, ambitious hiring)
Customers
Ambitious, fast-growing companies (mid-market to enterprise)
Culture
Fast-paced, execution-focused, hands-on leadership, high ownership, open communication
Is This Role For You?
- You're a systems thinker—you see GTM as infrastructure, not campaigns, and enjoy connecting tools and workflows
- You love SQL, APIs, and automation; you'd rather build a workflow once than run it 100 times manually
- You've worked in early-stage startups (Series A–C) or high-growth RevOps/growth engineering roles
- You're genuinely curious about AI tools and how to apply them to sales, marketing, and lead generation
- You measure success by impact (pipeline generated, hours saved, % improvement) not busyness
- You're a traditional marketer who prefers brand storytelling over data and automation
- You expect a stable, process-heavy environment—Nominal is fast-moving and experimental
- You don't have SQL or data analysis experience; this role requires hands-on technical chops
- You're looking for remote flexibility; this is on-site in NYC
Interview Process
Screening
Discuss relevant GTM infrastructure projects, SQL proficiency, and experience with automation tools
Technical Case Study
Walk through a GTM workflow you'd build or improve; analyze a data/lead quality scenario
Systems Design Conversation
Design an outbound automation system end-to-end; discuss tradeoffs and tooling choices
Founder/GTM Leader Conversation
Direct conversation about revenue growth priorities, experimentation culture, and impact expectations
Interested in this role?
Apply now and hear back within days, not weeks.
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About Growth Marketing Roles
Growth marketers drive user acquisition, activation, and retention through data-driven experimentation. They sit at the intersection of product, data, and marketing — running A/B tests, building funnels, and scaling what works.