Catalant Technologies

Project Manager

• Catalant connects leading companies with independent consultants to solve critical business challenges.
• Senior Project Manager, Billing & Operations to drive execution across client engagements and improve operational processes.
• Serve as the operational liaison between Sales, Platform Operations, Clients, and Experts, ensuring accurate contract terms, billing requirements, and smooth project kickoff and execution.
• Oversee project delivery: check in with experts and buyers, manage project plans (scope, timing, resources, budget), and implement recovery actions for missed milestones.
• Own billing operations: manage invoice schedules, maintain unbilled receivables, ensure timely expert payments, and prepare closeout documentation.
• Monitor financial performance: analyze revenue reports, identify unbilled balances/trends, escalate risks, and coordinate change orders to protect margins.
• Lead status updates with Client Communities, AR, Finance, and Leadership, while providing responsive, professional support on project and invoicing concerns.
• Assist designing, developing and optimizing operational processes and flow from Order to Cash; identify opportunities for automation and AI.

Senior Project Manager, Billing and Operations

Community Manager

• As an Associate within our Client Community, you will play a pivotal role in supporting clients, experts, and the broader Catalant team throughout the entire go-to-market lifecycle.
• Our internal Client Community team is made up of driven, sales-focused professionals dedicated to sparking business growth, nurturing strategic partnerships, and unlocking new opportunities for our clients.
• Your core responsibilities will include identifying talent needs through proactive outreach to prospective customers, expertly matching consultants to client requirements, vetting and coaching experts, and managing key projects and processes.
• This role is tailored for individuals eager to develop a diverse skill set, with a clear trajectory toward more senior positions in sales and client management.
• This position offers the opportunity to make a tangible impact while building a strong foundation for career advancement.

Associate, Client Community, Sales

AI Engineer

• Help drive adoption of AI on the Catalant platform and within our business, including:
• AI Feature Development: Build and deploy enterprise-ready, AI-driven features that harness Catalant’s rich data to optimize our technology platform and internal workflows.
• Building GenAI Systems With Cutting-Edge Design Patterns: Create and maintain systems that use technologies like advanced RAG, agents, and others to provide precise, contextually relevant information across our technology platform and internal processes.
• Data Infrastructure: Team with data engineering to help ensure Catalant’s AI-focused data infrastructure is properly evolving, integrating multiple data sources into a robust, highly optimized data warehouse tailored specifically for AI applications.
• Technical ownership over AI project lifecycles - own the projects you work on from planning to execution, with a team of friendly and helpful engineers that will provide assistance and feedback along the way.
• Work cross-functionally by partnering with product, design, data analytics, business systems, etc. to plan and gather requirements for projects.
• Deliver new product features to our clients quickly with a focus on accuracy, quality, usability, performance, and scalability

• At least 8-years of professional software engineering experience, including 4+ years focused on generative AI and ML systems.
• Hands-on experience bringing AI solutions to production in an enterprise setting (i.e., you don’t just write code in notebooks)
• Integrating LLM APIs into responsive, real-time applications
• Hands on, professional experience with common genAI design patterns, such as RAG, agentic systems, evals, model fine-tuning
• Familiarity with a variety of genAI models and frameworks
• Familiar with basic AI/ML concepts such as collection and utilization of testing/training data, validation and testing; basic ML algorithms; and an understanding of how LLMs work
• Grounding in data science fundamentals, such as regression analysis, cross-validation, and techniques to address overfitting and underfitting
• Experience in the full lifecycle of enterprise AI projects, including evaluation, guardrails, and monitoring, and maintaining AI systems in production.
• Experience in MLOps / deploying models locally with GPUs and packages such as pytorch is a plus
• Ability to work with stakeholders to understand requirements, collecting and incorporating feedback during and after deployment
• Knowledge of OOP language(s); Deep and demonstrated python fluency required.
• Deep working knowledge of one or more gen AI frameworks (such as Langgraph, LlamaIndex, or others)
• Experience working with relational and vector databases; MySQL and Databricks experience a plus.
• Demonstrated experience staying up to date with industry developments
• Excitement about coaching peers in a constructive and positive way and ability to lead technically while also working independently and showing initiative to make an impact
• Strong partnership with company leadership, engineering peers, product, and design during requirement discovery and solutioning
• Ability to work with urgency, a strong sense of curiosity, and demonstrated ability to learn new technologies.

Senior Project Manager, Billing and Operations

Associate, Client Community, Sales

Senior AI Engineer