Vertex Inc

Job Description: The Director, Digital Customer Success Services is responsible for defining and executing the strategy, operating model, technology roadmap, and digital engagement ecosystem that enables scalable, data-driven, and AI-powered customer success at Vertex. This role leads the evolution of Customer Success Services (CSS) through intelligent automation, customer intelligence, digital engagement programs, customer community strategy, and enterprise platform optimization. The Director oversees the technology, data, analytics, automation, and digital experience capabilities that support the entire customer lifecycle-from onboarding and adoption through renewal, expansion, and advocacy. This leader is responsible for Gainsight and the broader CSS technology ecosystem, customer community strategy and execution, customer intelligence initiatives, AI-enabled workflows, digital success programs, and scalable customer engagement models that improve customer...

Job Description: Location: Remote-Must reside within the S o u theast U.S. (preferably Atlanta, GA ) Travel: Approximately 25 - 50 % JOB SUMMARY: The Enterprise Account Executive is responsible for driving enterprise revenue growth through the sale of Vertex tax technology solutions to both new and existing clients across the Sou theast United States. This role is ideal for a seasoned enterprise SaaS seller with a proven track record of exceeding quota with a modern, AI-driven mindset. You are a true hunter who creates opportunities, navigates complex organizations, and consistently wins new business . You will engage senior stakeholders across Finance, Tax, and IT, positioning Vertex as a strategic partner for transformation, compliance, and operational efficiency. Success in this role requires curiosity, resilience, and a results-oriented mindset. KEY RESPONSIBILITIES: Drive new business by...

Job Description: Job Description Summary This Principal Product Manager - AI Solutions role is a hands-on, individual contributor position that creates and delivers AI-first product capabilities for Vertex customers by translating ambiguous problems into clear hypotheses, product requirements, and roadmap priorities. The role partners closely with tax domain subject matter experts (SMEs), engineering, UX, go-to-market, and customer success to ship production-ready AI that is trusted and compliant, integrates into workflows, and demonstrates value through evaluation, monitoring, and performance metrics. This role is not a tax SME; it is an innovation and product leadership role that identifies opportunities, prototypes solutions, and scales what works. Required Qualifications Seeking a minimum of six (6) years of relevant product management experience. Principal-level success includes owning multi-quarter roadmaps, aligning cross-org stakeholders, and leading complex,...

Job Description: Job Summary The Principal Engineer, AI Orchestration & Retrieval defines how the enterprise's central AI system is composed - the orchestration and abstraction layers that connect LLMs to tools, data, and one another, and the retrieval systems that ground them. This role sets the strategy and builds the reality for how we build and expose tools (including MCP servers), how we structure retrieval and chunking, and when to rely on specialized sub-agents versus directly exposing tools to a model. Essential Job Functions and Responsibilities Design the orchestration and abstraction layers of the central AI system that connect LLMs to tools, data, and sub-agents Design, build, and operate MCP (Model Context Protocol) servers and set standards for how tools are defined, exposed, and versioned Define tool-surface strategy: the optimal number of tools exposed to an LLM, the optimal number of APIs per MCP server, and how to keep tool surfaces...

Job Description: Job Summary The Principal Engineer, AI Model Training & Data Strategy owns how Commercial AI (CAI) products train, fine-tune, and evaluate models, and how the data behind those models is sourced, curated, stored, and governed. This is primarily a model-training role with a strong secondary focus on the data management and pipelines that make high-quality training possible. The role defines the enterprise training strategy and the standards for how and where training data from Commercial AI products is stored, versioned, and reused. Essential Job Functions and Responsibilities Define and own the end-to-end model training strategy across CAI products, spanning traditional AI/ML models and large language models Fine-tune large language models using parameter-efficient techniques (e.g., QLoRA, LoRA, PEFT) and full fine-tuning where warranted Train, evaluate, and tune traditional AI/ML models (classification, regression, ranking, clustering, and...