Procurify
Engineering Manager, AI Engineering
7mo ago
WorldwideLeadRemotegenerative aimachine learningllmsteam leadershipsoftware architecture
Lead AI Engineering team to develop and operate AI intelligence layer for spend management platform combining leadership and hands-on technical work.
About the company
- Procurify is the Intelligent Spend Management company. We're on a mission to give all organizations unprecedented visibility and control over their business spend. Our industry-leading platform unifies data across procurement, AP, and expenses, helping finance and operations teams capture, analyze, and optimize every dollar of spend.
- We're a remote-first company backed by leading investors, helping mid-market organizations modernize how they manage spend.
Responsibilities
- We're hiring an Engineering Manager, AI Engineering to lead our AI Engineering team. This team is responsible for building and operating the intelligence layer that powers Procurify's platform, leveraging Generative AI, Machine Learning, LLMs, and agentic systems to help customers automate workflows, uncover insights, and make more effective spending decisions.
- This is a player-coach leadership role . You'll lead a team of AI Engineers while remaining deeply involved in technical strategy, architecture, prototyping, and critical implementation decisions. You'll balance people leadership with hands-on technical contribution, helping shape both our AI platform and the next generation of AI-powered customer experiences.
- You'll work closely with Product, Design, Platform Engineering, Security, and Engineering leadership to define and execute Procurify's AI strategy while building a highly engaged, high-performing team. You value accountability, technical excellence, and know how to balance long-term vision with pragmatic execution.
Nice to have
- FinTech or B2B SaaS Experience: A strong interest or background in the FinTech ecosystem. Direct experience building AI-powered products in a B2B SaaS environment is highly desirable.
- Agile & DevOps Mindset: Strong knowledge of agile development practices, CI/CD, test automation, observability, and modern software delivery practices.
- AI Platform & LLMOps Experience: Experience building workflow orchestration systems, durable async programming, intent detection, AI platforms, evaluation frameworks, model governance, processes, or AI developer tooling.
Other
- Manage a team of AI Engineers, providing coaching for technical excellence, fostering individual career growth, and nurturing a high-performance culture built on trust, ownership, experimentation, and collaboration.
- Serve as a player-coach by actively participating in architecture reviews, technical design, prototyping, proof-of-concepts, and critical implementation efforts. Maintain technical credibility through active engagement with the team's work and technical direction.
- Lead your team to consistently deliver high-impact AI-powered products and platform capabilities. You'll define success metrics, track progress transparently, and proactively communicate with stakeholders to ensure alignment and business impact.
- Lead the technical strategy for AI Engineering by partnering with key stakeholders across Product, Platform, and Security to align our technical investments with business goals. By building foundational platforms rather, you will define the architectural standards and guardrails that empower our team to innovate at speed and scale agentic workflows, RAG systems, and LLM-powered features. Your focus includes: LLM-powered applications
- Retrieval-Augmented Generation (RAG) systems
- Agentic workflows and orchestration
- Prompt and context engineering frameworks
- AI evaluation systems
- AI observability and monitoring
- Responsible AI and governance practices
- Guide the design, development, deployment, and operation of AI services and infrastructure, including:
- LLM and model integrations
- Knowledge retrieval systems
- AI orchestration platforms
- Agent frameworks
- Evaluation and testing frameworks
- AI monitoring and feedback loops
- Think strategically to balance experimentation, technical debt reduction, platform investments, and product delivery. Help the organization move quickly while maintaining engineering quality and operational excellence.
- Work with Engineering leadership to evolve Procurify's engineering culture, championing technical excellence, responsible innovation, continuous learning, and disciplined execution.
- Work closely with partners across the organization—including Security, Platform Engineering, Product, Design and Customer teams—to deliver robust, trustworthy, and compliant AI solutions.
- Commitment: Demonstrates accountability and follow-through, delivering reliably and owning outcomes in a way that others can depend on.
- Ambition: Takes initiative with curiosity and a growth mindset, pursuing bold ideas that elevate impact and performance.
- Resilience: Shows adaptability, composure, and perseverance through challenges, staying focused and effective in a fast-changing environment.
- Excellence: Brings rigor, collaboration, and a strong quality focus to deliver high-performing solutions and raise the bar for outcomes.
- Simplicity: Applies focus, clarity, and streamlining to cut through complexity and enable efficient, impactful execution.
- Proven Leadership: 8+ years of software engineering experience. 3+ years leading software engineering teams. 3-5+ years building and deploying AI-powered products or platforms in production environments. Demonstrated success operating as a technical leader in a player-coach capacity.
- AI Engineering Expertise Strong hands-on experience building and operating:
- LLM-powered applications
- Retrieval-Augmented Generation (RAG) systems
- Agentic AI workflows
- AI orchestration frameworks
- AI evaluation and monitoring systems
- Production machine learning services
- Experience working with technologies such as:
- Python
- Azure OpenAI and/or AWS Bedrock
- Databricks
- Kubernetes
- Vector databases
- LangGraph, LangChain, CrewAI, or similar orchestration frameworks
- ML/LLMOps tooling
- Architectural Acumen: Proven ability to architect and scale distributed systems, AI platforms, and customer-facing software products. You have a track record of navigating technical complexity while making pragmatic tradeoffs between speed, reliability, maintainability, and cost.
- AI Product Mindset: Experience translating ambiguous business problems into AI-enabled products that deliver measurable customer value.
- Empathetic & Accountable: A self-driven, accountable leader who thrives in an autonomous, fast-paced environment and leads with empathy, compassion, and a people-first approach.
- Exceptional Communicator: You excel at communicating complex technical concepts, AI capabilities, risks, and tradeoffs to both technical and non-technical audiences.
- Modern AI Experience: Deep understanding of modern AI technologies including:
- Generative AI
- Large Language Models
- Retrieval systems
- Agentic architectures
- AI safety and governance considerations
- You'll define and execute Procurify's AI Engineering strategy.
- You'll build AI capabilities that directly shape the future of our platform.
- You'll lead a talented team of AI Engineers while remaining deeply technical.
- You'll influence architecture, platform investments, and AI governance across the organization.
- You'll help establish best practices for how AI is built, deployed, and operated at scale.
- You'll be part of a supportive, people-first culture that values curiosity, autonomy, growth, and innovation.
- A modern technology stack with opportunities to influence future architecture.
- A culture committed to learning, experimentation, and engineering excellence.
- Clear technical vision and empowered teams that own outcomes.