GTM Engineer

GTM Engineer

San Francisco

Marketing - Marketing /

Full-time /

On-site

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About Finix

Finix is building the global operating system for fintech, starting with payments. From startups to publicly traded companies, Finix processes tens of billions of dollars annually both in-store and online. Finix was founded in 2015 and is headquartered in San Francisco.

To date Finix has raised over $200M, including a $75M Series C led by Acrew Capital and Lightspeed Venture Partners and backed by American Express Ventures, Bain Capital Ventures, Homebrew, Inspired Capital, Visa, and others

About the Role

We're looking for our first Go-To-Market (GTM) Engineer to architect and operationalize the systems behind Finix's pipeline generation engine. This is a highly cross-functional role sitting at the intersection of marketing, revenue operations, data, automation, and AI.

You'll partner closely with Marketing, Sales, Partnerships, and Operations to design scalable growth infrastructure, improve data quality, automate workflows, and build the connective tissue between our GTM systems. You should be equally comfortable thinking strategically about pipeline generation and rolling up your sleeves inside HubSpot, Clay, APIs, spreadsheets, and AI tooling.

This role is ideal 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.

What You'll Be Doing

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

Areas of Ownership

• HubSpot rebuild + administration
• Attribution modeling
• Lead/source classification
• Workflow automation (HubSpot + AI)
• Ads data pipelines
• CRM enrichment + deduplication
• GTM reporting infrastructure
• API integrations
• AI-powered prospecting workflows
• Data quality monitoring + anomaly detection
• Revenue systems documentation

What We're Looking For

• 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

Nice to Have

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

Why Finix

Finix is reimagining payments infrastructure from the ground up. We believe modern financial systems should be programmable, flexible, and accessible to every business.

You'll join a low-ego, high-ownership environment where you can shape foundational revenue infrastructure, work alongside exceptional operators, and help define what AI-native GTM looks like inside one of the leading payments platforms in fintech.

$140,000 - $180,000 a year

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Finix is an equal opportunity employer and values diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other protected class.

Role: GTM Engineer

Level: IC4

Location: San Francisco, CA

Base Salary Range: $140,000/yr to $180,000/yr + equity + benefits

Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries at our headquarters in San Francisco, California. Individual pay is determined by work location, job related skills, experience, and relevant education or training.

Must be authorized to work in the U.S.; no visa sponsorship provided.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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