Ürün Mühendisi

Forward-Deployed Engineer - Monq

We are looking for brilliant engineers to join our team at Monq. We're pushing the boundaries of AI with next-generation agentic systems that can autonomously negotiate high-value enterprise contracts. We're focusing on a $4.2 trillion market of strategic procurement that has been largely untouched by AI innovation.

Our mission is to transform how enterprises negotiate their most critical deals, turning strategic procurement from a manual, gut-driven process into a competitive advantage powered by intelligent AI agents.

About the Role

Forward-Deployed Engineers sit at the intersection of product, engineering, and customer success. You'll own full-stack features end-to-end, with a focus on building for enterprise procurement requirements. You will collaborate closely with Fortune 500 procurement teams to architect and implement sophisticated contract analysis pipelines and negotiation APIs, directly fueling our cutting-edge autonomous negotiation agents with terabytes of real-world procurement data. You will be instrumental in shaping solutions for enterprise clients, all while learning and growing your AI skills in a truly AI-first company at the forefront of agentic negotiation systems.

What You'll Do

Enterprise Integration & Data Infrastructure:

• Design & build scalable backend services and contract processing pipelines written in Python and deployed with Docker & Kubernetes
• Integrate with enterprise procurement ecosystems—major systems such as SAP, Oracle, Coupa, and GEP ERP, GraphQL/REST APIs, SFTP feeds, and event buses (Kafka, Pulsar)
• Wrangle large, heterogeneous procurement datasets—model, transform, and index multi-modal, multi-terabyte enterprise contract and vendor data for advanced negotiation workloads

AI-Powered Negotiation Systems:

• Develop enterprise-level autonomous negotiation AI systems with the support of Monq's AI specialists
• Build data pipelines that feed contract intelligence, vendor benchmarking, and negotiation performance analytics to AI agents
• Create real-time integrations supporting autonomous negotiation agents and strategic decision-making dashboards

Full-Stack Enterprise Solutions:

• Ship complete customer features—from architecture and code to CI/CD, infra-as-code (Terraform), rollout, and procurement team training
• Build enterprise-grade security, compliance, and audit capabilities for high-value contract negotiations
• Contribute across the stack—build lightweight front-ends for negotiation dashboards when needed and pair with AI engineers on inference and evaluation pipelines

Customer Collaboration:

• Collaborate directly with procurement executives & operators—run white-boarding sessions, turn ambiguous negotiation requirements into concrete specs, demo weekly, and iterate fast
• Work on-site with Fortune 500 procurement teams to understand complex negotiation workflows and enterprise integration needs
• Champion observability & reliability—instrument services with OpenTelemetry, define SLIs/SLOs for mission-critical negotiation systems, and automate incident response

Requirements

Essential Qualifications:

• Professional Experience: 5+ years of professional software-engineering experience, ideally in enterprise B2B environments
• Programming Skills: Fluent in Python and comfortable in TypeScript/JavaScript for full-stack development
• Data Systems Expertise: Built and operated data-intensive systems (batch & streaming) in cloud environments (AWS, GCP, or Azure)
• Database Knowledge: Know your way around relational, columnar, and KV/graph databases—and when to use which for enterprise procurement data

Enterprise Integration Experience:

• Real-World Enterprise Integration: Integrated with enterprise stacks—authentication, SSO, legacy ERPs, message queues, ETL tools, particularly in procurement or finance domains
• Solution Architecture: Can take a loosely defined procurement problem, sketch an architecture, and deliver a production-ready solution in weeks, not months
• Stakeholder Communication: Communicate clearly with both engineers and business stakeholders; you enjoy hopping on a customer call with procurement executives to debug an API contract

Professional Skills:

• High-Ownership Environment: Thrive in an early-stage, high-ownership environment—prototype today, deploy tomorrow, iterate next week
• Enterprise Security Understanding: Experience with enterprise-grade security, compliance, and audit requirements
• Customer-Facing Capability: Comfortable working directly with Fortune 500 procurement teams and understanding complex business requirements

Nice to Have

AI & Domain Experience:

• LLM Integration Experience: Experience deploying or consuming LLM-powered services (OpenAI, open-source models, RAG, vector stores) can be a bonus. However, we consider many great candidates without previous AI experience
• Procurement Domain Knowledge: Familiarity with strategic procurement, contract negotiation, vendor management, or enterprise sourcing domains
• Document Processing: Experience with complex document parsing, contract analysis, or legal/procurement document workflows

Advanced Technical Skills:

• Multi-Agent Systems: Understanding of AI agent coordination and autonomous system design
• Enterprise Architecture: Experience with large-scale enterprise software architecture and integration patterns
• Business Intelligence: Background in building analytics and reporting systems for executive-level decision making