GTM Engineer

Finix•San Francisco, CA

6d•$140,000 - $180,000•Onsite

About The Position

Finix is seeking its first Go-To-Market (GTM) Engineer to architect and operationalize the systems behind the company's pipeline generation engine. This is a highly cross-functional role that sits at the intersection of marketing, revenue operations, data, automation, and AI. The GTM Engineer will partner closely with Marketing, Sales, Partnerships, and Operations to design scalable growth infrastructure, improve data quality, automate workflows, and build the connective tissue between GTM systems. The ideal candidate will be comfortable thinking strategically about pipeline generation and hands-on with tools like HubSpot, Clay, APIs, spreadsheets, and AI tooling. This role is for someone who thinks like a systems builder, operates with an owner mentality, and wants to redefine how modern fintech companies run go-to-market.

Requirements

5+ years of demonstrated experience in RevOps, Growth Ops, Marketing Ops, Sales Ops, GTM Engineering, or related operational roles within a high-growth SaaS environment.
Strong systems thinking and technical curiosity to solve complex business problems with scalable solutions.
Expert-level, hands-on experience with HubSpot in a fast-paced environment building and maintaining workflows, audience segments, API connectors and error handling.
Proficient with AI-native GTM tooling (e.g, Claude, OpenAI, Zapier, etc), agent frameworks (e.g. LangChain, CrewAI, or similar) for building multi-step AI workflows and data enrichment tools (e.g. Apollo, 6Sense or similar).
Comfortable working with APIs, automation tooling, spreadsheets, and low-code workflows.
Experience building reporting and attribution systems across advertising solutions including LinkedIn, Google, Meta, 6Senses.
Strong analytical skills and attention to operational detail.
Excellent verbal and written communication and process documentation skills to clearly articulate complex technical strategies to both technical and non-technical stakeholders.
Bias toward action and comfort operating in ambiguity.
Must be authorized to work in the U.S.; no visa sponsorship provided.

Nice To Haves

Experience in fintech, payments, or infrastructure companies.
Familiarity with warehouse tooling like Snowflake or BigQuery.
Experience supporting outbound and PLG motions simultaneously.

Responsibilities

Build GTM Infrastructure: Rebuild and optimize core GTM systems and workflows across Marketing, Sales, and Partnerships that support pipeline generation and customer expansion.
Own HubSpot architecture, automation, attribution, enrichment, routing, and reporting.
Design scalable lead lifecycle infrastructure and source classification systems.
Create and maintain reliable GTM data pipelines across paid ads, CRM, product, and third-party tools.
Build API integrations between internal systems and external vendors.
Operationalize AI Across GTM: Deploy AI-native workflows and agents across prospecting, enrichment, routing, qualification, and campaign operations.
Build systems leveraging tools like Claude, Clay, OpenAI, and workflow orchestration platforms.
Develop anomaly detection, QA checks, and automated reporting for GTM data integrity.
Identify repetitive operational workflows and automate them end-to-end.
Partner Cross-Functionally: Work closely with Marketing to improve campaign measurement, attribution, and funnel visibility.
Partner with Sales and Partnerships to improve lead quality, routing, enrichment, and outbound infrastructure.
Collaborate with Product and Engineering on product-led growth signals and internal tooling.
Document systems, processes, and operational best practices across the GTM organization.