Build and operate Finix’s go-to-market infrastructure across HubSpot, marketing, sales, partnerships, data, automation, and AI. Responsibilities include CRM architecture, attribution, lead lifecycle systems, data pipelines, API integrations, AI-powered prospecting workflows, reporting, enrichment, deduplication, anomaly detection, and documentation. The role partners cross-functionally to improve pipeline generation, lead quality, campaign measurement, and customer expansion.
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
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
- 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
- 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
- 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
Build GTM Infrastructure
Operationalize AI Across GTM
Partner Cross-Functionally
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.
- 2+ years of engineering experience.
- 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.
Finix San Francisco, California, USA Office
71 Stevenson Street, San Francisco, CA, United States, 94105
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