About the Role

We are looking for a Senior Customer Success Engineer to be both technical architect and strategic advisor for our enterprise customers. You will consult on the art of the possible, design custom AI workflows, and ensure customers realize transformational value from unified GTM intelligence. This is a hybrid role combining deep technical expertise (prompt engineering, agentic AI, workflow orchestration) with strategic relationship management.

Responsibilities

• •Consult with customers on how to transform their GTM operations using AI-powered unified intelligence, showing the art of the possible beyond their current workflows
• •Design and implement custom workflows, prompt chains, and agentic AI solutions tailored to each customer's unique GTM data model and processes
• •Build custom AI agents with specialized tools that automate customer-specific use cases across Sales, CS, Product, and Marketing teams
• •Lead technical onboarding focused on establishing their Common GTM Data Model (CGDM), defining entities, relationships, and data quality standards
• •Architect prompt engineering strategies that extract maximum value from customer conversations and unstructured data
• •Own the customer relationship end-to-end: quarterly business reviews, expansion planning, executive engagement, and adoption metrics
• •Create reusable frameworks, templates, and documentation that scale best practices across the customer base
• •Partner with Product and Engineering to translate customer needs into platform enhancements
• •Identify expansion opportunities by connecting platform capabilities to unrealized customer use cases

Required Qualifications

• •5+ years in customer success engineering, solutions architecture, or technical account management for enterprise SaaS products
• •Strong understanding of AI/LLM capabilities: prompt engineering, agent frameworks, RAG, function calling, and chain-of-thought reasoning
• •Experience designing workflows and automation for complex business processes (bonus if in RevOps, Sales Ops, or GTM operations)
• •Technical depth to understand system integrations, APIs, data models, and orchestration logic
• •Proven ability to consult at a strategic level, translating business problems into technical solutions and articulating ROI to executives
• •Track record of managing high-touch enterprise relationships with strong retention and expansion results
• •Excellent at teaching complex concepts: you can explain prompt chaining to a VP of Sales and get them excited about the possibilities

Nice to Have

• •Hands-on experience with Vercel AI SDK or similar agent frameworks for building AI-powered applications
• •Background in RevOps, Sales/Marketing Ops, or GTM strategy; you understand the pain of siloed teams and fragmented data
• •Experience implementing or consulting on data models, taxonomies, or business intelligence frameworks
• •Familiarity with CRM platforms (Salesforce, HubSpot) and how they're actually used (and abused) in the wild
• •Technical writing skills: creating clear documentation, playbooks, and training materials
• •SQL or data analysis experience; comfortable exploring datasets to uncover insights
• •Previous experience at a high-growth AI/ML startup where you wore multiple hats
• •Based in or willing to relocate to San Francisco Bay Area (preferred for in-office collaboration)

Benefits

• •Competitive salary and meaningful equity; be an early team member building the category
• •Health, dental, and vision insurance (100% covered for employees)
• •Flexible work arrangement: SF-based team members work in office 3 days/week, remote team members welcome
• •Annual professional development budget for courses, conferences, and certifications
• •Latest equipment and tools; whatever you need to do your best work
• •Unlimited PTO (we mean it; take time to recharge)
• •Work on cutting-edge AI applications with real business impact