Job Overview
Location
San Francisco
Job Type
Full-time
Category
Sales
Date Posted
June 4, 2026
Full Job Description
đź“‹ Description
- • Own end-to-end customer relationships from onboarding through ongoing success, including improving demo performance and driving adoption of AI-powered conversational agents for B2B go-to-market teams
- • Teach and coach AI agents on product positioning, buyer personas, pricing conversations, and sales workflows to optimize conversational outcomes
- • Serve as the primary voice of the customer by analyzing conversation logs and direct feedback to identify patterns, trends, and unmet needs
- • Translate customer insights into actionable product feature requests and prioritize them in close collaboration with engineering and the CTO
- • Build automation workflows using scripting, APIs, and low-code/no-code tools to scale customer onboarding, support, and success processes
- • Define and document the customer engineering playbook from scratch, establishing repeatable processes for scaling from a small initial customer base to thousands
- • Work directly with the CTO to shape product roadmap decisions based on real-time customer interactions and usage data
- • Conduct product demos and customer onboarding sessions with technical and non-technical stakeholders, ensuring clear understanding and adoption
- • Monitor and improve AI agent performance by refining conversation logic, response accuracy, and sales alignment based on live customer interactions
- • Collaborate cross-functionally across product, engineering, and sales teams to ensure customer feedback directly influences product development cycles
- • Identify and implement systems to automate repetitive customer-facing tasks, reducing manual effort and increasing scalability of the customer engineering function
- • Act as a founding customer engineer — building the foundational processes, tools, and relationships that will define the company’s customer success model
- • Maintain deep familiarity with the product’s capabilities and limitations to accurately represent its value and manage customer expectations
- • Document all customer interactions, feedback, and workflow improvements in a centralized system for knowledge sharing and future hiring
- • Ensure all customer engagements align with company goals and contribute to product-market fit through iterative learning and adaptation
🎯 Requirements
- • 0–3 years of experience in a customer-facing technical role in SaaS (e.g., solutions engineer, customer engineer, technical account manager)
- • Strong written and verbal communication skills; comfortable leading product demos and customer onboarding sessions
- • Hands-on experience building automation workflows to scale customer-facing tasks (scripting, APIs, or low-code/no-code tools)
- • Experience analyzing customer feedback and conversation logs to identify patterns and inform product decisions
- • Ability to work cross-functionally and translate customer needs into concrete product improvements
- • Experience coaching or configuring AI agents for sales contexts — defining tiers, personas, and pricing conversations is a plus
🏖️ Benefits
- • Base salary: $140,000 – $185,000 USD annually
- • Early employee equity opportunity at a funded, early-stage AI startup
Skills & Technologies
About Clera
Clera, Inc. operates as an AI Talent Agent, leveraging artificial intelligence to enhance and streamline various aspects of the talent acquisition and management process. The company's core offering appears to center on an AI-powered platform designed to connect skilled individuals with suitable opportunities or to assist organizations in efficiently sourcing and evaluating candidates. While comprehensive details regarding specific features, target industries, or the scale of its operations are not yet publicly available, the current online presence indicates that Clera's services are actively being prepared for launch. This suggests an upcoming introduction of innovative AI solutions aimed at optimizing the ecosystem where talent meets demand.
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