Signals

3 Jobs

109 Employees

About the Company

Signals is the Cloud Employee(tm) Platform redefining how work gets done. It deploys autonomous, programmable AI agents to replace high-volume, client-facing roles across sales, service, and support. Powered by the Signals Data Engine(tm), Cloud Employees combine customer data, collective intelligence, contextual awareness, adaptive learning, and customizable personas to deliver intelligent execution at scale. Signals helps organizations reduce headcount, increase output, and scale faster--with a workforce that's always on.

Listed Jobs

Company Name: Signals
Job Title: AI Product Specialist (Hiring Now)
Job Description: Job Title: AI Product Specialist Role Summary: Responsible for configuring, launching, and refining AI Cloud employees for customers, translating business challenges into actionable AI workflows. Acts as a primary customer-facing advocate, providing training, gathering feedback, and supporting critical go‑live events. Expectations: Early‑career professional (0–2 years) with internships or experience in SaaS, operations, analytics, or IT. Must be tech‑curious, self‑motivated, and ready to learn AI fundamentals quickly. Will receive structured onboarding and mentorship, progressing from shadowing to leading small implementations within three months. Key Responsibilities: - Configure, deploy, and iterate AI Cloud employee solutions for clients. - Translate real‑world business problems into AI workflows (prompts, automations, quality assurance). - Deliver user training and create concise documentation and playbooks. - Capture user feedback to inform product improvements. - Assist with on‑site or remote go‑live sessions, including occasional evening/weekend work. - Collaborate with cross‑functional teams to ensure successful client adoption and satisfaction. Required Skills: - Strong communication, including clear written prompts and documentation. - Quick technical learning curve; adept at adopting new SaaS tools. - Business acumen and ability to translate technical concepts to non‑technical stakeholders. - Experience with, or willingness to learn, SaaS platforms, analytics, or IT operations. - Self‑starter mindset, humility, and a drive to build an AI‑centric product/customer success career. - Flexibility to adapt to fast‑paced team environments. Nice‑to‑Have (Not Required): Experience with Zapier/Make, basic SQL or API integration, Python/JavaScript, Salesforce or HubSpot, and data visualization tools. Required Education & Certifications: Bachelor’s degree (or equivalent) in Computer Science, Engineering, Business, Analytics, or related field preferred; no mandatory certifications required.

Provo, United states

On site

07-12-2025

Company Name: Signals
Job Title: AI Product Specialist – Analytics Focus
Job Description: **Job title** AI Product Specialist – Analytics Focus **Role Summary** Configure, launch, and optimize AI Cloud Employees for new clients, translating business challenges into actionable AI workflows. Drive data-informed customer success, documenting processes, and building dashboards to showcase ROI. **Expactations** * 0–3 years of experience in research, analytics, SaaS ops, or recent graduate in data‑centric field. * Strong analytical mindset with proficiency in SQL, Excel, or data‑visualization tools. * Excellent written and verbal communication; adept at turning insights into clear recommendations. * Customer‑first attitude, ability to thrive in a fast‑moving environment, and eagerness to learn AI/LLM fundamentals. **Key Responsibilities** * Set up and deploy AI Cloud Employees, capturing essential customer data during implementation. * Convert business problems into measurable AI workflows and reporting frameworks. * Support onboarding with comprehensive documentation and actionable insights. * Analyze usage metrics, generate feedback loops, and recommend product or process improvements. * Develop and maintain dashboards, reports, and ROI demonstrations for stakeholders. * Co‑owner and lead small‑scale customer launches under mentorship; produce playbooks and demo outcomes. **Required Skills** * Data analysis (SQL, Excel, or equivalent visualization tools). * Clear, concise communication and documentation. * Familiarity with customer success principles. * Basic understanding of AI/LLM concepts (to be taught on‑the‑job). **Required Education & Certifications** * Bachelor’s degree or equivalent in Data Science, Analytics, Computer Science, or related field. * No specific certifications required.

Provo, United states

On site

07-12-2025

Company Name: Signals
Job Title: AI Product Specialist – Developer Focus
Job Description: Job Title: AI Product Specialist – Developer Focus Role Summary: Speeds customer adoption of AI Cloud Employees by configuring, customizing, and launching code‑based integrations, building scripts and connectors, and troubleshooting during go‑live. Expactations: Entry‑level software developer (0‑3 years or recent CS graduate) with strong Python/JavaScript coding, a keen interest in AI/LLM, comfort presenting technical solutions, and readiness to learn quickly in a fast‑paced environment. Key Responsibilities: - Configure and customize AI Cloud Employees using code‑based integrations. - Build and maintain scripts, connectors, and lightweight automations (Python, JavaScript, APIs). - Collaborate with customers during onboarding to implement and extend solutions. - Partner with product managers and engineers to capture customer requirements and inform product direction. - Support go‑live phases with hands‑on troubleshooting, creative problem‑solving, and documentation. - Create and maintain playbooks and knowledge base content for implementation workflows. Required Skills: - Proficiency in Python and JavaScript programming. - Experience working with RESTful APIs, JSON, and scripting for automation. - Ability to design and develop connectors or lightweight automations. - Strong debugging, problem‑solving, and analytical abilities. - Excellent verbal and written communication, comfortable in customer‑facing contexts. - Self‑motivated, adaptable, and quick to learn new technologies. Required Education & Certifications: - Bachelor’s degree in Computer Science, Software Engineering, or a related field; or equivalent practical experience.