Geared toward a technical operations specialist comfortable with rebuilding core GTM systems and deploying AI-native workflows.
Derived from job-description analysis by Serendipath's career intelligence engine.
Original posting from Finix via Lever
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
The engineering team owns the delivery and stability of our product end to end. Since Finix serves as the complete payment platform of our customers’, our engineering team owns our customers’ ability to capture revenue. The Sr. Software Engineer role centers around envisioning superior technical solutions to our customers’ payment needs, leading its implementation and continuously ensuring reliable service to our customers. You will have broad autonomy and responsibility for formulating the best solution possible and working with your peers to deliver your vision. Finix is looking for a team member to join our engineering team who brings exceptional technical acumen, attention to detail, interest to grow and an obsession with building excellent, performing and scalable software.
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.
Compensation:
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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.
Source: Finix careers (Lever)