28 Ai Automation Jobs - Page 2

Job Title: Project Manager AI Agents (Sales, Marketing & Operations) Location: Remote / Hybrid (Melbourne-based preferred) Employment Type: Full-time About Traffic Radius Traffic Radius is a leading digital marketing agency leveraging AI-driven strategies to optimize SEO, PPC, social media, and marketing automation. We help businesses enhance their digital presence and achieve sustainable growth using data-driven marketing and AI-powered tools. Role Overview We are seeking a forward-thinking AI Project Manager to lead the planning, execution, and delivery of small to mid-sized AI agent projects across Sales, Marketing, and Operations . This role is ideal for someone with a strong grasp of digital marketing and a passion for leveraging AI technologies to automate and improve business processes. You will work closely with cross-functional teams including AI developers, digital marketers, sales strategists, and operations managers to deliver AI-powered solutions that drive performance and efficiency. Key Responsibilities Plan and manage end-to-end projects for building AI agents tailored to sales, marketing, and operational workflows. Collaborate with internal stakeholders to identify needs, define scope, and outline deliverables for AI agent implementation. Coordinate between development, marketing, and operations teams to ensure timely execution. Translate business goals into AI functionalities (e.g., AI appointment booking, CRM updates, automated outreach, reporting). Manage timelines, budgets, risks, and resources to ensure project success. Monitor AI agent performance, gather feedback, and iterate for optimization. Develop documentation, SOPs, and training materials for AI agent use across teams. Stay updated with the latest in AI tools, frameworks, and trends to suggest innovation opportunities. Skills & Qualifications Proven experience (3+ years) in project management , preferably in AI, SaaS, or digital marketing environments . Strong understanding of AI applications in sales, marketing automation, and business operations . Familiarity with tools like Zapier, OpenAI, CRMs (HubSpot, Zoho, etc.), Calendars, and automation platforms such as Make.com, n8n, and Relevance AI . Experience with SEO tools like Ahrefs and SEMrush, PPC automation tools such as Google Ads AI, and marketing analytics platforms. Excellent organizational, leadership, and communication skills. Ability to translate technical capabilities into practical marketing and business use-cases. Comfortable working in fast-paced, agile environments with multiple concurrent projects. Project management certifications (e.g., PMP, Scrum Master) are a plus. Why Join Traffic Radius? Be part of an AI-driven digital marketing agency shaping the future of online marketing. Work with cutting-edge AI-powered marketing and automation tools . Lead innovative projects that transform sales and marketing strategies. Join a dynamic and collaborative team focused on growth and innovation. Ready to lead the AI revolution in digital marketing? Apply now and make an impact with Traffic Radius.

Key Responsibilities: - Develop and execute revenue growth strategies across acquisition, conversion, and retention. - Lead and optimize B2B sales funnels, outbound & inbound strategies. - Drive AI-powered automation in sales & marketing for efficiency and scale. - Align marketing, sales, and customer success for seamless revenue operations. - Build strategic partnerships and explore new revenue channels. - Use data-driven decision-making for forecasting and performance optimization. Requirements: - ven experience in scaling revenue for B2B SaaS. - Strong understanding of AI-driven automation in growth and sales. - Expertise in demand generation, pipeline management, and GTM strategies. - Ability to drive alignment between marketing, sales, and customer success. - Analytical mindset with experience in data-driven decision-making. Why Join Us? Be a key leader in a fast-growing, AI-driven SaaS company. Work with cutting-edge AI automation technologies. Drive global impact and scale revenue to new heights.

Role Overview: As a Sr. Quality Engineer specializing in test automation, you will actively engage in your quality engineering craft, taking a hands-on approach to multiple high-visibility projects. Your expertise will be pivotal in delivering solutions that delight customers and users while also driving tangible value for business investments. You will leverage your extensive quality engineering craftsmanship and advanced proficiency across multiple quality assurance disciplines and modern frameworks, consistently demonstrating your exemplary track record in delivering high-quality, outcome-focused solutions. The ideal candidate will have a strong background in quality assurance, test automation, and a deep understanding of automation tools and technologies. This role will be pivotal in enhancing our testing frameworks and ensuring the highest quality standards for our products. Key Responsibilities: Outcome-Driven Accountability: Embrace and drive a culture of accountability for customer and business outcomes. Develop quality engineering solutions that solve complex problems with valuable outcomes, ensuring high-quality test automations. Technical Leadership and Advocacy: Serve as the quality advocate for products, ensuring high-quality automation coverage, appropriateness, feasibility, and alignment with business and customer goals. Design, develop, and maintain advanced automation frameworks to drive Automation first mindset using advanced automation techniques, including BDD, to streamline and enhance the testing process. Engineering Craftsmanship: Maintain accountability for the integrity of test design, test automation, their ongoing maintenance and scale, as well as the quality of solutions. Stay hands-on, self-driven, and continuously learn new approaches, tools, techniques, and frameworks. Integrate these tools and techniques into existing testing processes to improve accuracy, efficiency, and coverage of automated tests. Mentor other quality engineers to become masters of their craft, continuously learning new approaches, tools, and technologies. Customer-Centric Engineering: Develop lean quality engineering solutions through rapid, inexpensive experimentation to solve customer needs. Engage with customers and product teams before, during, and after delivery to ensure the right solution is delivered at the right time. Incremental and Iterative Delivery: Adopt a mindset that favors action and evidence over extensive planning. Utilize a leaning-forward approach to navigate complexity and uncertainty, delivering lean, supportable, and maintainable solutions. Cross-Functional Collaboration and Integration: Work collaboratively with empowered, cross-functional teams including product management, experience, engineering, and delivery. Integrate diverse perspectives to make well-informed decisions that balance feasibility, viability, usability, and value. Foster a collaborative environment that enhances team synergy and innovation. Advanced Technical Proficiency: Possess deep expertise in modern quality engineering practices and principles, including Agile methodologies and DevSecOps to deliver daily product deployments using techniques like fully automated in-sprint testing to accept the stories and work products throughout the SDLC lifecycle. Be a role model, leveraging these techniques to optimize solutioning and product delivery. Demonstrate a strong understanding of the full lifecycle product development, focusing on continuous improvement and learning. Domain Expertise: Quickly acquire domain-specific knowledge relevant to the business or product. Translate business/user needs and UX/UI designs into test automation. Be a valuable, flexible, and dedicated team member, supportive of teammates and focused on quality and tech debt payoff. Effective Communication and Influence: Exhibit exceptional communication skills, capable of articulating complex technical concepts clearly and compellingly. Inspire and influence teammates and product teams through well-structured arguments and trade-offs supported by evidence. Create coherent narratives that align technical solutions with business objectives. Engagement and Collaborative Co-Creation: Engage and collaborate with product engineering teams at all organizational levels, including customers as needed. Build and maintain constructive relationships, fostering a culture of co-creation and shared momentum towards achieving product goals. Align diverse perspectives and drive consensus to create feasible solutions. Key Qualifications: A bachelors degree in computer science, software engineering, or a related discipline. An advanced degree (e.g., MS) is preferred but not required. Experience is the most relevant factor. 8+ years of experience in quality assurance and test automation, including coding the test scripts. Strong hands-on experience with TOSCA and automation-first BDD (Gherkin) techniques is required. Hands-on experience with Selenium, Functionize, Testim, and AccelQ is preferred. Experience with AI/GenAI tools and frameworks in test automation is preferred. Experience with cloud hyper-scalers like Azure, AWS, and GCP is required. Strong understanding of methodologies and tools such as XP, Lean, SAFe, DevSecOps, ADO, GitHub, SonarQube, etc. to deliver high quality products rapidly. Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care.