GTM Systems Forward Deployed Engineer

About The Position

G2 is the world's largest and most trusted software marketplace, having recently joined forces with Capterra, SoftwareAdvice, and GetApp to create the largest source of online data and software insights. With over 200M+ combined annual visitors and 6M verified reviews, G2 is now a centralized platform enabling software buyers to make better and faster decisions with confidence. The company is committed to transforming the global B2B software industry and becoming the most trusted data foundation for buyers and sellers of software in the age of AI. G2's culture is grounded in its PEAK values—Performance, Entrepreneurship, Authenticity, and Kindness—fostering a value-driven, growing global community that supports mutual success and learning. The organization is dedicated to DEI and philanthropic work, exemplified by its G2 Gives program and people-led Employee Resource Groups (ERGs). The GTM Systems team at G2 builds and operates the technology layer that powers the company's Customer Success and Customer Support organizations. This Forward Deployed Engineer role is a high-autonomy, high-ownership position, serving as the primary technical partner embedded with post-sale business stakeholders. The individual in this role must be able to move fluidly from strategic whiteboard conversations about OKRs to writing Apex code and deploying solutions in production. This role requires the individual to act as the engineer, analyst, architect, and delivery owner, working directly with leaders and operators in Customer Success and Customer Support to understand their needs, design, build, test, deploy, and iterate on solutions. It is suited for someone who thrives on seeing the direct impact of their work on daily operations and is expected to bring both technical depth and business judgment to the table.

Requirements

8+ years of experience in a Salesforce-centric technical role, with demonstrated ownership of solution delivery end-to-end
Salesforce development proficiency: Apex (classes, triggers, batch jobs), Lightning Web Components (LWC), SOQL, and platform configuration (flows, validation rules, page layouts, permission sets)
Experience working directly with business stakeholders — comfortable running discovery conversations, asking sharp questions, and pushing back when scope creep threatens delivery
Hands-on experience with Salesforce Experience Cloud (Communities/Portals) and Service Cloud
Familiarity with one or more tools in the CS/Support ecosystem: Forethought, Catalyst, Gainsight, or comparable platforms
Demonstrated ability to operate without a PM or QA function — you write your own test cases, own your own deployments, and catch your own bugs
Comfort with AI-assisted development workflows and a genuine curiosity about applying LLMs and AI agents to GTM and operational problems
Strong written and verbal communication — you can explain a data model to an engineer and a business case to a VP in the same day

Nice To Haves

Experience with Salesforce integration patterns (REST/SOAP APIs, platform events, named credentials)
Exposure to AI tooling for workflow automation (Claude Code, Dust, n8n, or similar)
Salesforce certifications (Platform Developer I/II, Administrator, Advanced Administrator)
Prior experience in a Customer Success, Support, or Revenue Operations technology context

Responsibilities

Partnering directly with Customer Success and Customer Support business stakeholders to understand goals, OKRs, and process pain points — translating them into technical solutions without a PM or BSA intermediary
Owning the full delivery lifecycle: requirements gathering, solution design, configuration, development, testing, deployment, documentation, and ongoing iteration
Building and maintaining solutions across G2's post-sale tech stack, including Salesforce (Sales Cloud, Service Cloud), Salesforce Experience Cloud, Forethought, Catalyst, Slack, and ZoomInfo
Developing within Salesforce using both declarative configuration and code — writing Apex classes, triggers, and Lightning Web Components (LWC) for solutions that go beyond what clicks can deliver
Designing and deploying AI-powered GTM workflows — leveraging tools like Claude Code, Dust, and native AI capabilities within the stack to automate and augment how CS and Support teams operate
Evaluating and integrating new tools as the ecosystem evolves, with a bias toward solutions that reduce manual work and accelerate time-to-value for business teams
Maintaining the reliability, performance, and governance of the systems you own — including documentation, change management, and proactive monitoring