AI Platform - Project Manager (Full-time - Remote - USA)

A pivotal role is available at Abnormal AI for a highly driven IT Project Manager to support their cutting-edge AI Platform team. This full-time, remote position is open to candidates in the USA , offering exceptional flexibility. You’ll help drive the delivery of impactful AI capabilities by managing multiple concurrent projects within an Agile framework. This unique opportunity allows you to orchestrate seamless collaboration across ML, infrastructure, and product teams. Your leadership will directly enable fast, reliable feature development at scale, ultimately impacting the robust protection Abnormal AI delivers to its customers. Who You Are: A Master of Agile, Driving AI Impact You’re confident leading Agile and Scrum ceremonies, excelling at facilitating collaboration across technical teams. Highly organized and driven by curiosity, you consistently improve project visibility and accountability. You’re comfortable working in deeply technical environments and possess a solid knowledge of machine learning, data engineering, or AI concepts. As an excellent communicator, you keep stakeholders informed and aligned across both technical and business units. You thrive in ambiguity, take ownership, and deliver impactful results quickly. You’re passionate about process excellence, continuous improvement, and creating clarity and structure where it doesn’t yet exist. You value inclusivity, clear communication, and bring a customer-obsessed, intellectually honest mindset to everything you do. What You Will Do: Orchestrating AI/ML Projects from Conception to Delivery As an AI Platform Project Manager, you’ll be at the heart of the AI development lifecycle, ensuring that complex initiatives are executed seamlessly and deliver measurable business value. Your responsibilities will blend strategic planning, meticulous execution, and effective communication across diverse teams. Drive AI Platform Projects: You will drive AI Platform projects from conception to delivery within a dynamic Agile environment. This involves overseeing the entire project lifecycle, from initial ideation and requirements gathering to development, testing, and successful deployment of AI capabilities. Your leadership will ensure projects align with strategic goals and are completed efficiently. Maintain Sprint Plans and Backlog Hygiene: You’ll meticulously maintain sprint plans , ensuring all tasks are clearly defined, prioritized, and assigned. You’ll expertly coordinate team ceremonies (e.g., daily stand-ups, sprint planning, sprint reviews, retrospectives) to foster collaboration and transparency. Additionally, you’ll ensure accurate story estimation and maintain backlog hygiene , making sure the product backlog is well-organized, refined, and ready for development. Define and Track KPIs for Delivery Performance: You will strategically define and track Key Performance Indicators (KPIs) to rigorously measure project delivery performance and stakeholder satisfaction. This involves identifying relevant metrics (e.g., velocity, lead time, defect density, stakeholder feedback), collecting data, and reporting on progress to evaluate the effectiveness of project execution and identify areas for improvement. Build and Maintain Stakeholder Relationships: You will cultivate and build and maintain strong relationships with Engineering, Data Science, and Product partners . This involves fostering open communication, understanding their needs, managing expectations, and ensuring alignment across diverse technical and business functions. Your collaborative approach is crucial for seamless project execution. Implement Tooling for Project Tracking and Reporting: You will actively implement and manage tooling for project tracking, communication, and reporting . This includes leveraging platforms like ServiceNow, Jira, or similar Agile project management tools to ensure comprehensive visibility into project status, facilitate team collaboration, and streamline reporting processes for all stakeholders. Facilitate Retrospectives and Continuous Improvement: You will expertly facilitate retrospectives and continuous improvement loops . This involves leading discussions to identify what went well, what could be improved, and developing actionable plans for enhancing team processes, tools, and overall efficiency. Your leadership here fosters a culture of iterative improvement. Report Regularly to Leadership: You will report regularly to leadership with concise updates on project progress, identified blockers, and proposed mitigation strategies. Your clear and timely communication ensures that senior management is well-informed and can provide necessary support to resolve impediments and keep strategic initiatives on track. Support Roadmap Planning and Resource Forecasting: You will provide crucial support for roadmap planning by contributing insights on project feasibility, technical dependencies, and estimated effort. You’ll also assist with team resource forecasting , ensuring that sufficient personnel are available to meet future project demands and that resources are optimally allocated for upcoming initiatives. Must Haves: Your Foundational Expertise for Project Management To excel as an AI Platform Project Manager, you’ll need substantial experience in technical project management, particularly within Agile frameworks and AI/ML domains, along with strong communication and problem-solving skills. Project Management Experience in Technology (4-6 years): You must possess 4–6 years of verifiable project management experience in technology environments , with a primary focus on utilizing Agile delivery methodologies . This demonstrates your practical ability to manage technical projects within iterative development cycles. Experience with AI/ML or Data Engineering Teams: You have proven experience working with or supporting AI/ML or Data Engineering teams . This indicates your understanding of the unique challenges, workflows, and technical requirements associated with machine learning and data-intensive projects. Proficiency with Agile Project Management Tools: You possess a solid command of ServiceNow, Jira, and/or similar Agile project management tools . This demonstrates your ability to manage work items, track progress, facilitate ceremonies, and maintain project visibility within an Agile framework. Track Record of Delivering High-Impact Features: You have a proven track record of delivering high-impact software or platform features . This highlights your ability to drive projects to successful completion, resulting in tangible business value and measurable outcomes. Effective Communication and Facilitation Skills: You are an effective communicator and facilitator across highly technical and non-technical audiences. This enables you to bridge communication gaps, foster understanding, and lead productive discussions with diverse stakeholders. Bachelor’s Degree: You hold a Bachelor’s degree in Computer Science, Information Systems, or a related field . This academic background provides a strong foundational understanding relevant to technology and project management. Demonstrated Ability to Drive Change: You have a demonstrated ability to drive change and process improvements in ambiguous environments . This indicates your proactive mindset, leadership capabilities, and comfort with navigating uncertainty to achieve positive outcomes. Experience with Distributed or Remote Teams: You have practical experience working with distributed or remote-first teams . This is crucial for success in a fully remote role, highlighting your ability to collaborate effectively across geographical boundaries. Nice to Have: Enhancing Your Project Management Profile PMP, CSM, or SAFe Certification: Possession of a PMP (Project Management Professional), CSM (Certified ScrumMaster), or SAFe (Scaled Agile Framework) certification is a plus, indicating formal training and expertise in project or agile methodologies. MLOps Workflow Experience: Experience with MLOps (Machine Learning Operations) workflows or AI/ML deployment practices would be beneficial, demonstrating familiarity with operationalizing machine learning models. High-Growth Startup or SaaS Company Experience: Experience at a high-growth startup or SaaS (Software as a Service) company is a plus, indicating adaptability to fast-paced, evolving environments. Cloud Platforms Exposure: Exposure to cloud platforms like AWS (Amazon Web Services), GCP (Google Cloud Platform), or Azure (Microsoft Azure) would be advantageous, demonstrating familiarity with cloud computing environments. Data Product or AI Feature Lifecycle Management: A background in data product or AI feature lifecycle management would be a plus, indicating an understanding of managing data-centric products from conception to retirement. ServiceNow SPM / PPM Experience: Experience managing processes/projects in ServiceNow SPM (Strategic Portfolio Management) / PPM (Project Portfolio Management) would be beneficial for leveraging a specific enterprise tool. Certain roles are eligible for a bonus , restricted stock units (RSUs) , and comprehensive benefits. Individual compensation packages are based on factors unique to each candidate, including their skills, experience, qualifications, and other job-related reasons. The base salary range for this position is $114,800—$135,050 USD . Our client’s compensation and benefits philosophy is designed to attract, motivate, and retain top talent. They pay competitively, and equity is an important and exciting part of their total compensation strategy as a pre-IPO startup, guided by the belief that team members should share in the financial success of the company. They offer flexible PTO, observe 12 paid holidays, and provide generous healthcare coverage (100% of employee healthcare premium costs in the US, and up to 100% for dependents, depending on the plan). As a globally-distributed, majority remote company, they prioritize a balance of deep focus time with virtual meetings and regular in-person events. As a fast-growing startup, they continuously review, improve, and personalize their benefits offerings based on team input. Apply For This Job Name * Email * Phone * How did you hear about this job? * Attach Resume * Got Any Question? 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