• Projetar e construir os componentes de plataforma que habilitam desenvolvimento de agentes de IA; • Definir padrões, templates e guardrails que garantem qualidade e compliance em aplicações de IA; • Criar abstrações que escondem complexidade — times de produto devem conseguir construir agentes sem serem especialistas em IA; • Atuar em colaboração com squads de produto para entender necessidades e evoluir a plataforma com base em casos de uso reais; • Participar de decisões build vs buy, avaliando soluções de provedores versus soluções, visando a melhor solução para o problema; • Atuar como consultoria técnica interna, mentorando times na implementação das melhores práticas de engenharia de IA.

At Tiger Data, formerly Timescale, we empower developers and businesses with the fastest PostgreSQL platform designed for transactional, analytical, and agentic workloads. Trusted globally by thousands of organizations, Tiger accelerates real-time insights, drives intelligent applications, and powers critical infrastructure at scale. As a globally distributed, remote-first team committed to direct communication, accountability, and collaborative excellence, we're shaping the future of data infrastructure, built for speed, flexibility, and simplicity. At TigerData, we’re not treating AI as a side project; we’re actively rethinking how go-to-market teams operate because of it. This role sits at the intersection of RevOps, Sales, Marketing, and Product, reporting into the Head of RevOps. It’s a builder role for someone who sees inefficiencies across the GTM motion and instinctively starts figuring out how to fix them. You don’t need to have had this exact title before. Some of the strongest people in this role started in adjacent roles (SDR, RevOps, Growth, Engineering) and taught themselves how to build. The common thread isn’t background, it’s intellectual curiosity, creativity, and a bias toward experimentation. You won’t be handed a fully defined roadmap — but you’ll work closely with GTM leaders to identify where you can have the biggest impact. If you’re the kind of person who sees a broken process and thinks, “I could automate that by tonight,” you’ll feel at home here. This role is remote. We have a strong preference for candidates based in Pittsburgh or similar US markets. What you will be responsible for in this role: - Identifying inefficiencies across Sales, Marketing, and RevOps and proactively fixing them - Building and shipping AI-powered workflows, tools, and MVPs (internal-first, occasionally customer-facing) - Automating repetitive GTM processes (lead enrichment, outbound personalization, CRM workflows, routing, etc.) - Rapid experimentation: going from idea → prototype → live usage in days, not weeks - Partnering across teams to deeply understand problems and deliver solutions that actually get used - Acting as an internal thought partner on how AI can transform our GTM motion - Continuously exploring new AI tools, workflows, and ideas and bringing the best ones into the company - Shipping is the goal, not prototypes that never get used You could be a great fit if you: - Are a hands-on AI operator. You regularly build with LLMs, APIs, agents, or automation tools and understand their real-world limitations - Are comfortable using agentic coding tools like Claude Code to go from idea to working product without waiting on engineering resources - Can point to real things you’ve built with AI (workflows, tools, automations, side projects) that have been used in practice - Have a track record of teaching yourself new things quickly and applying them immediately - Default to action: you’d rather ship a scrappy MVP today than debate for a week - Thrive in ambiguity and don’t need a roadmap to get started - Are highly curious and constantly experimenting with new tools and ideas - Care about solving real business problems (time saved, pipeline generated, processes improved) - Can work cross-functionally and confidently engage with Sales, Marketing, and Ops teams - Can write code or comfortably work with APIs (Python, JavaScript, or similar) or can ramp quickly - Have exposure to GTM systems (Salesforce, HubSpot, Clay, etc.) or can learn them quickly You might not be a great fit if you: - Want a clearly defined role with a fixed roadmap - Prefer planning and discussion over building and shipping - Are more interested in AI as a concept than as a tool to drive business outcomes - Need close direction or structured problem statements to be effective - Haven’t spent meaningful time building and shipping with AI tools yet (beyond light experimentation) - Avoid cross-functional work or influencing stakeholders Our Commitment: - We respond to every applicant. - We review applications fairly and objectively, and shortlist based on relevant skills and experience. - We ensure clear and timely communication throughout your candidate journey. - We maintain a rigorous interview process with a high bar, designed to give you the opportunity to meet various team members you'll collaborate with across our organization. About Tiger Data🐯 Tiger Data, formerly Timescale, sets the standard as the fastest PostgreSQL platform for modern workloads. Trusted by more than 2,000 customers across 25+ countries and powering over 3 million active databases, we enable developers and organizations to build real-time, intelligent applications at scale. Backed by $180 million from top-tier investors, Tiger Data is building the new standard for data infrastructure, built on PostgreSQL, designed for the future. 👉 👉 Want to get a feel for how we work and what we value? Check out our blog post: What It Takes to Thrive at Tiger Data We embrace diversity, curiosity, and collaboration. Whether debating the perfect chicken nugget crunch 🍗, sharing workout routines 💪, or discussing your favorite plants 🌱 and pets 🐾, you'll find your community here. Our Tech Stack: We don't require previous experience with our tech stack, but enthusiasm for learning is key. Our technologies include PostgreSQL, Tiger Cloud, AWS, Go, Docker, Kubernetes, Python, and innovative features like Hypertables, Hypercore, vector search, and real-time analytics. Learn more at www.tigerdata.com or follow us on Twitter @TigerDatabase What We Offer: (Please note that benefits may vary based on country.) - Flexible PTO and comprehensive family leave - Fridays off in August 😎 - Fully remote opportunities globally - Stock options for long-term growth - Monthly WiFi stipend - Professional development and educational resources 📚 - Premium insurance options for you and your family (US-based employees) Ready to join the future of PostgreSQL? We can’t wait to meet you. 🚀🐯

Overview At eimagine, we know that your best work happens when you live your best life and bring your unique talents to what you do. That’s why we’re intentional about fostering a remote-enabled environment where our people can thrive. Recognized as a Best Places to Work since 2015, we are a team of humbly confident professionals who take pride in our craft, continuously learn, and support one another along the way. For over 25 years, we’ve helped clients navigate technology and business change while delivering meaningful outcomes that drive their success. Due to continued growth, we are seeking an AI Engineer to build and deliver AI-powered solutions that solve real business problems for our clients. This role is hands-on and focused on developing, deploying, and improving AI/ML solutions in real-world environments. You’ll work closely with teams and clients to turn ideas into working software that creates measurable value. If you’re passionate about turning emerging technologies into real-world solutions and want to partner with clients to create meaningful business value, this could be your next step. Join us as we #eimaginebetter. Description of Duties: - Build and deploy end-to-end AI/ML solutions, from data pipelines and feature engineering to model training and inference - Develop and maintain data pipelines for ingesting, transforming, and preparing data for analytics and machine learning - Write clean, modular, and maintainable code to support scalable AI applications - Integrate machine learning models into applications using APIs, services, and microservices - Test, debug, and improve model performance to ensure reliability and accuracy in production - Work with large datasets to uncover insights and improve model outcomes - Use modern development practices including version control, CI/CD, and containerization to ship high-quality code - Experiment with new AI tools, frameworks, and technologies to solve client problems more effectively - Collaborate with cross-functional teams to prototype, iterate, and deliver solutions quickly - Contribute to reusable code, tools, and best practices that improve team efficiency - Partner with clients to understand problems, gather feedback, and deliver solutions that meet real business needs Desired Skills & Experience - 3+ years of hands-on experience building software solutions, with exposure to AI, machine learning, or data-driven applications - Proficiency in Python and experience writing production-quality code - Experience with machine learning frameworks such as PyTorch, TensorFlow, or scikit-learn - Familiarity with building and deploying applications in cloud environments (Azure, AWS, or GCP) - Experience working with APIs and integrating external services, including AI/LLM APIs (e.g., OpenAI, Azure OpenAI, Gemini) - Exposure to generative AI concepts such as prompt engineering or retrieval-augmented generation (RAG) - Understanding of data pipelines and basic data engineering concepts (ETL/ELT) - Familiarity with Git, CI/CD pipelines, and containerization tools like Docker (Kubernetes is a plus) - Strong problem-solving skills and a willingness to learn and adapt in a fast-moving space - Comfortable working in a collaborative, client-facing environment Education - Bachelor’s degree in information technology, computer science or equivalent job-related experience required.

• Improve and optimize AI-driven systems (e.g., make them faster, more cost-efficient, and higher quality) • Design, build, and iterate on AI agents • Fine-tune and adapt open-source language models for specific use cases • Deploy and manage models in production environments • Work on backend systems that integrate AI models into a scalable product • Collaborate closely with product and engineering to enhance core capabilities • Experiment with the latest AI tools, frameworks, and workflows • Contribute across the stack when needed in a small, high-impact team