GTM Engineer

Hypha•New York, NY

1d•$160,000 - $190,000

About The Position

Hypha is seeking a GTM Engineer to take ownership of and evolve the revenue systems, including automation, data pipelines, and outbound infrastructure, that support their sales and marketing teams. This is a strategic role focused on rebuilding and extending these systems to accommodate future company growth (5x current size) rather than just maintenance. The ideal candidate will have a strong understanding of scalability and tradeoffs, with the ability to architect robust systems.

Requirements

3-7 years of experience scaling GTM systems in a $0-$20M ARR environment.
A builder's mentality, focused on designing robust systems rather than patching existing ones.
Strong technical fundamentals, including comfort with SQL, API integrations, and scripting.
Hands-on experience deploying and maintaining AI agents in production, including monitoring output quality, handling failures, managing cost/latency, and iterating on prompts/logic.
Fluency with modern automation and AI tooling (e.g., Clay, n8n, Make) and comfort working directly with LLM APIs.
Judgment over tool familiarity; ability to evaluate, adopt, or replace tools as needs change.
Comfort with ambiguity and ownership; ability to decide how systems should work.
Clear communication skills, able to explain technical tradeoffs to non-technical stakeholders and defend technical decisions to engineers.

Nice To Haves

Background in RevOps, marketing operations, or sales engineering at a high-growth B2B SaaS or fintech company.
Experience with warehouse-first data architectures (Snowflake/dbt-style pipelines, reverse ETL).
Experience in a regulated or compliance-sensitive industry (fintech, healthtech, etc.).
Prior experience as the first or founding GTM/automation hire.

Responsibilities

Own the GTM automation layer end-to-end: enrichment, lead/account routing, scoring, outbound sequencing, and integrations connecting CRM, data warehouse, and GTM tools.
Re-architect existing workflows by auditing current systems, understanding their rationale, and deciding what to keep, rebuild, or retire.
Build scalable outbound automation infrastructure for prospecting and personalization, including enrichment waterfalls, signal-based triggers, and AI-assisted research/messaging.
Deploy and maintain custom AI agents in production for tasks like research, enrichment, qualification, and outreach drafting, ensuring reliability through versioning, testing, and cost/latency management.
Set technical direction for the GTM stack, anticipating needs for the next 12-18 months.
Design systems for future growth (3-5x current headcount and revenue), focusing on architecture and data contracts.
Instrument and monitor built systems with alerting, error handling, and runbooks for fast issue resolution.
Partner with Sales, Marketing, and Customer Success leadership to translate revenue strategy into functional systems.
Make build-vs-buy decisions for tooling, aiming for consolidation.