Procurement Sciences AI

Content Marketing Manager

• Own the end-to-end content strategy, ensuring all content ladders into clear business outcomes.
• Design and manage a 360° content ecosystem, including blogs, video content, e-books, and social media posts.
• Ensure all content connects to conversion funnels.
• Build and scale high-performing e-books and guides that attract attention and drive inbound demand.
• Partner closely with Demand Gen, Sales, and Product Marketing.

Senior Content Marketing Manager

Data Analyst

• Define key KPIs, product metrics, and reports that drive decision making at the highest level.
• Design, build, and evangelize source-of-truth reporting tools for finance, sales ops, and technical product executives, to arm them with the needed information to drive their day to day decision making.
• Lay the foundation for the growing analytics team to empower cross functional engineering and product teams to make data driven decisions and fast experimental iteration.
• Build and publish data visualization and dashboards for exec visibility into product, sales and operations data

Staff BI and Data Analyst

Product Manager

• Lead, mentor, and grow a team of Product Managers and UX Designers, establishing clear career paths and development opportunities
• Recruit, hire, and onboard top product and design talent aligned with our rapid growth
• Create a high-performance culture focused on customer value, execution excellence, and continuous improvement
• Conduct regular 1:1s, performance reviews, and career development planning
• Build cross-functional collaboration rhythms between product, design, engineering, and business teams
• Establish and evolve the product development framework from discovery through delivery
• Define and implement design processes including user research, design systems, and design-to-development handoffs
• Create product planning cadences, prioritization frameworks, and roadmap communication processes
• Build measurement and analytics practices to track product success and inform decisions
• Implement best practices for user research, experimentation, and validation
• Establish product quality standards and design excellence benchmarks
• Drive execution of product initiatives across Find, Win, and Deliver modules
• Ensure teams are shipping high-quality features that deliver customer value on schedule
• Remove blockers and provide strategic guidance to product and design teams
• Partner with Engineering leadership to align product roadmap with technical capabilities
• Lead quarterly planning and prioritization sessions with stakeholders
• Monitor product metrics and iterate based on user feedback and business outcomes
• Collaborate with CEO, CTO, and executive team on product strategy and vision
• Translate business objectives into actionable product roadmaps
• Make critical trade-off decisions between competing priorities and initiatives
• Champion customer needs and user experience in strategic discussions
• Drive alignment across product, engineering, sales, and customer success teams
• Communicate product strategy, progress, and wins to internal and external stakeholders
• Build deep understanding of government contracting and procurement workflows
• Establish direct customer feedback loops and research programs
• Analyze competitive landscape and identify differentiation opportunities
• Partner with Sales and Customer Success to understand market needs and opportunities
• Participate in customer calls, demos, and strategic account planning.

Director of Product Management, Design

Backend Engineer

• Build scalable APIs and microservices that serve ML models in production with low latency and high availability.
• Work with the product engineering teams to implement reliable integrations with LLM APIs (Claude, GPT, Gemini).
• Implement monitoring, measurement, and observability systems for AI workflows to ensure reliability and performance.
• Build the integration points between the AI/ML Platform stack and the core application, supporting product development and long term technological investment.
• Support data pipeline development and maintenance that enable ML model training and inference.

Senior Backend Engineer, AI

Machine Learning Engineer

• Build, deploy, and maintain production classification and recommendation systems serving thousands of users
• Design and implement ML pipelines for training, evaluation, and monitoring of traditional ML models
• Integrate LLM APIs and vector databases into existing ML workflows to enhance product capabilities
• Collaborate with product and engineering teams to translate business requirements into scalable ML solutions
• Optimize model performance, system reliability, and inference latency across our ML stack

Senior AI and ML Engineer

Customer Success Manager

• Serve as the primary point of contact for assigned clients, building strong relationships and ensuring their success with our AI-driven platform.
• Conduct regular check-ins with clients to understand their goals, challenges, and feedback, and provide strategic guidance to help them achieve their objectives.
• Develop and execute customer success plans, identifying opportunities for increased adoption, engagement, and value realization.
• Provide training and support to clients, ensuring they have the knowledge and resources needed to effectively leverage our platform.
• Collaborate with cross-functional teams, including product, engineering, and sales, to address client needs and drive continuous improvement of our solutions.
• Analyze client data and feedback to identify trends, pain points, and opportunities for enhancing our platform and service offerings.
• Contribute to the development of customer success best practices, methodologies, and documentation.
• Serve as an advocate for our clients, providing feedback and insights to drive product enhancements and innovations.

Senior Content Marketing Manager

Staff BI and Data Analyst

Director of Product Management, Design

Senior Backend Engineer, AI

Senior AI and ML Engineer

Senior Customer Success Manager