The Data Scientist is expected to play a crucial role in analyzing large-scale datasets, building scalable systems, and providing actionable insights to support business strategy. This role requires a strong foundation in data analytics and hands-on experience with data science and AI technologies. Must-Have Qualifications • 2+ years of experience in data science or data engineering. • 2+ years of experience in SQL and Python for data manipulation, analysis, and modeling. • Experience in working with AI systems for data analysis. • Exposure to Google Cloud Platform (GCP) / AWS / Azure • Proficiency in Git for collaborative development and version control. Preferred (Nice-to-Have) Qualifications • Proficiency in Google Cloud Platform (GCP), specifically BigQuery and Looker/Data Studio. • Experience in working with DBT/Dataform, Cloud Build, GCE, Airflow/Composer. • Experience in building data pipelines using python or cloud tools. • Strong foundation in statistics and predictive modeling techniques. • Experience in working with LLM architectures, RAG pipelines and Agentic AI systems. • Strong problem-solving abilities and experience in designing modular, scalable data architectures. • Strong communication skills, with the ability to present data insights to diverse audiences.
The Client Success Manager will be the main point of contact for clients, leading performance reviews, driving product adoption, and ensuring long-term client success through data-driven strategies and proactive relationship building. This role will also entail upselling and cross selling along with driving retention. MUST HAVE QUALIFICATIONS: - Bachelor’s degree in any of the following fields Customer Relationship Management, Business Administration, Management, Engineering - Minimum of 2+ years of experience in a Client Success role (not Client Support) - Strong client-facing and presentation skills - Comfortable learning and using multiple technology platforms PREFERRED QUALIFICATIONS: - Prior experience in the Multifamily industry - Familiarity with Hubspot, Notion & Canva or similar tools for presentations JOB TIMINGS: 9AM to 5PM EST
About the Job Role Summary Hyly.AI is reimagining Quality Assurance through AI-driven automation and agentic testing tools . We are seeking an AI-Powered QA Automation Engineer to lead the evolution of our QA processes by building intelligent, automated testing systems. You’ll work with both traditional automation frameworks (Selenium, Playwright, Postman) and next-generation AI tools like Claude Code, GPT-based testing agents, and autonomous QA frameworks . This role goes beyond scripting—it’s about shaping the future of QA with AI. You’ll reduce reliance on manual testing, mentor the QA team in adopting agentic workflows, and ensure the consistent delivery of high-quality products. By embedding AI-powered QA into the SDLC and leveraging collaboration tools like Notion for reporting and documentation , you’ll help Hyly.AI set a new benchmark for speed, accuracy, and innovation in multifamily technology. Key Responsibilities AI-Augmented QA Automation: Design and implement AI-driven frameworks for functional, API, UX/UI, and data validation testing. Leverage tools like Claude Code, ChatGPT-based test agents, or similar agentic automation platforms. Intelligent Test Execution: Create, maintain, and scale automated test cases that combine traditional frameworks (Selenium, Cypress, Playwright) with AI-powered validation. Mentor QA in AI Adoption: Guide manual testers in transitioning to AI + automation workflows , upskilling them in prompt engineering, AI agent supervision, and hybrid testing strategies. Continuous Quality in the SDLC: Collaborate with developers, product managers, and cross-functional teams to integrate AI-driven quality checks at every stage of development. Analytics & Reporting: Generate insights from automation coverage, AI-driven test outcomes, and defect trends to enable data-backed decisions. Document processes and results in Notion for team-wide visibility. Drive Innovation: Experiment with emerging AI QA tools, evaluate their ROI, and propose cutting-edge strategies to future-proof Hyly.AI’s QA practice. Must-Have Qualifications Experience: 5+ years in QA automation, with hands-on exposure to AI/agentic testing tools (Claude Code, GPT-4/5 agents, or equivalent). Technical Skills: Proficiency in JavaScript (mandatory) and working knowledge of Python, Ruby on Rails, and React. Strong experience in Selenium, Playwright, Cypress, and Postman. API & UX/UI Testing Expertise: Ability to design and execute automated test cases across APIs and user experiences. AI-First Mindset: Experience integrating AI into QA workflows—e.g., AI-assisted test generation, autonomous debugging, or intelligent defect triaging. Mentorship Skills: Proven ability to upskill QA engineers into automation + AI testing methodologies. QA & SDLC Knowledge: Deep understanding of QA methodologies, with a track record of embedding quality practices into the development lifecycle. Collaboration: Strong communication and collaboration with cross-functional teams. Nice-to-Have Qualifications AI Tool Experience: Familiarity with Claude Code, ChatGPT-based agents, or similar LLM-powered QA tools. Collaboration Tools: Experience using Notion for documentation, process tracking, or dashboards. Certifications: Selenium, Playwright, Postman, or AI/ML certifications. QA Certifications: ISTQB, CSTAS, or equivalent.
The Client Success Manager will be the main point of contact for clients, leading performance reviews, driving product adoption, and ensuring long-term client success through data-driven strategies and proactive relationship building. This role will also entail upselling and cross selling along with driving retention. MUST HAVE QUALIFICATIONS: - Bachelor’s degree in any of the following fields Customer Relationship Management, Business Administration, Management, Engineering - Minimum of 2+ years of experience in a Client Success role (not Client Support) - Strong client-facing and presentation skills - Comfortable learning and using multiple technology platforms PREFERRED QUALIFICATIONS: - Prior experience in the Multifamily industry - Familiarity with Hubspot, Notion & Canva or similar tools for presentations JOB TIMINGS: 9AM to 5PM EST
About Us At Hyly.AI, we’re building the first AI + Data fabric for the multifamily industry, changing the way our clients manage and improve their marketing and operations. As the intellectual capital of the industry shifts toward a blend of workforce, AI, and data, we’re proud to be at the forefront of this transformation. You'll be helping us lead this transformation! Role Summary We’re looking for a Senior Prompt Engineer (100% Remote) to drive the development and optimization of advanced prompting strategies that power Hyly.AI’s conversational intelligence across chat, voice, mail, and SMS. This role is critical to ensuring our large language models deliver accurate, context-aware, and high-quality responses that scale across multifamily leasing and resident AI workflows. You will collaborate closely with product managers, ML engineers, and data scientists to design, test, and refine prompt architectures, evaluation frameworks, and multi-intent orchestration flows. The ideal candidate has deep expertise in LLMs (e.g., GPT-4, LLaMA, Mistral, DeepSeek), RAG pipelines, and prompt engineering best practices, and is passionate about building reliable and explainable AI systems. This role offers the opportunity to shape the core intelligence layer that differentiates Hyly.AI in a highly competitive market. Key Responsibilities Design, build, and manage a centralized Prompt Library & Evaluation Store to ensure consistent, versioned, and reusable prompts across Hyly.AI products. Collaborate with product managers, ML engineers, and data scientists to define prompting strategies and taxonomies that scale across chat, mail, SMS, and voice. Develop and refine prompt templates (e.g., few-shot, chain-of-thought, multi-intent orchestration) for reliable and context-aware LLM performance. Integrate RAG pipelines and vector databases (e.g., Pinecone, Weaviate, FAISS) into prompting workflows to ground responses with accurate and relevant data. Create and maintain prompt evaluation workflows using frameworks like LangSmith, custom eval loops, or MECE benchmarking to measure quality and consistency. Implement guardrails and conditional logic (e.g., toggles, fallback handling, language switches) to reduce hallucinations and improve reliability. Launch observability dashboards and automated test cases to monitor prompt accuracy, latency, and success rates in real time. Work with cross-functional teams to continuously improve prompt effectiveness , ensuring business goals translate into scalable prompting solutions. Must-Have Qualifications: Bachelor’s degree in Computer Science, Linguistics, Cognitive Science, or a related field or equivalent practical experience. 2+ years of hands-on experience engineering prompts for frontier Large Language Models (LLMs) such as OpenAI GPT, LLaMA, Claude, Mistral, or similar. Proven expertise in designing, testing, and refining prompts to optimize accuracy, reliability, and contextual alignment across diverse use cases. Strong experience with Retrieval-Augmented Generation (RAG) pipelines and context-injection techniques to ground LLM outputs. Familiarity with evaluation frameworks for LLMs (e.g., LangSmith, custom eval loops, MECE frameworks) and ability to measure/benchmark prompt performance. Proficiency in Python for automating prompt testing, building evaluation scripts, and integrating prompts into production workflows. Ability to work with vector databases (e.g., Pinecone, Weaviate, FAISS) to support semantic search and prompt-driven retrieval. Excellent analytical and communication skills to translate business problems into effective LLM prompting strategies. Preferred (Nice-to-Have) Qualifications: Remote Team Management Experience: Experience managing teams in a remote environment, ensuring effective communication and productivity. Cross-Functional Team Leadership: Proven ability to lead cross-functional teams, managing dependencies and ensuring smooth coordination. Strong collaborative development skills using Git and version control systems.
The Client Success Manager will be the main point of contact for clients, leading performance reviews, driving product adoption, and ensuring long-term client success through data-driven strategies and proactive relationship building. This role will also entail upselling and cross selling along with driving retention. MUST HAVE QUALIFICATIONS: - Bachelor’s degree in any of the following fields Customer Relationship Management, Business Administration, Management, Engineering - Minimum of 2+ years of experience in a Client Success role (not Client Support) - Strong client-facing and presentation skills - Comfortable learning and using multiple technology platforms PREFERRED QUALIFICATIONS: - Prior experience in the Multifamily industry - Familiarity with Hubspot, Notion & Canva or similar tools for presentations JOB TIMINGS: 9AM to 5PM EST