Coupa Software

Artificial Intelligence

• The Global AI Strategist for Professional Services is the lead architect of Coupa’s AI-driven services evolution.
• You are responsible for defining how Coupa’s global delivery organization shows up for customers.
• You will strategize on how to translate rapidly evolving Product Management AI capabilities into repeatable, high-value consulting motions.
• You will shape the organizational design of our specialized AI delivery cohorts to ensure they are positioned for maximum customer impact.
• You will lead the charge in using AI to automate manual implementation toil and radically accelerate the time-to-value for our global client base.

Senior Principal Global AI Strategist

Architect

• AI Opportunity Mapping: Lead workshops to deconstruct legacy procurement workflows and identify where **Coupa Agents** (native or custom) can drive the highest ROI.
• Agentic Deployment Strategy: Help clients determine the "where" and "how" of agent deployment, deciding which processes should be fully autonomous vs. human-in-the-loop.
• Target Operating Model Design: Define the future-state metrics (KPIs) that the AI transformation must achieve, ensuring they align with board-level goals.
• Maturity Audit: Evaluate the customer’s **AI Readiness** across three lenses: **Culture** (willingness to trust agents), **Data** (is the intelligence layer fueled correctly?), and **Process** (is the workflow "agent-ready"?).
• Blocker Mitigation: Identify internal policy or workforce hurdles early and partner with leadership to dismantle them.
• Organizational Change (OCM): Advise on workforce shifts, including the creation of **AI Centers of Excellence (COE)** and the retraining of staff to manage an "AI Workforce."
• Policy Transformation: Guide customers on updating internal governance to allow for autonomous agent actions (e.g., automated contract redlining or tail-spend negotiation).
• Architect Collaboration: Act as the "Tone Setter" for the technical team. You define the *Vision*; the **Agentic Architect** defines the *Build*.
• Roadmap Integration: Bridge the gap between the customer’s long-term transformation goals and the Coupa Product Roadmap to ensure the client is always ahead of the curve

Principal Architect

Manager

• Maximize Solution Advisor performance and regional revenue attainment, pipeline development and customer success through active leadership.
• Coordinate the assignment, calendaring and prioritization of SA resources across their assigned region.
• Strategize with regional sales leadership to maintain alignment between regional SA activities and sales leadership priorities.
• Assist SA management with recruiting, training, developing and retaining top caliber talent.
• Provide role model technical and functional expertise during the sales process for key regional sales opportunities.
• In an individual contributor capacity as well as in coach/mentor role, demonstrate how Coupa’s BSM can meet and exceed the business needs of our prospects.
• In an individual contributor capacity as well as in coach/mentor role, provide strong technical understanding of our product with the ability to discuss and demonstrate architecture and integration.
• Facilitate the sharing of knowledge and scaling of best practices across the broader organization.
• Facilitate a positive team attitude, outlook and work ethic that helps ensure Coupa continues to be a fantastic place to work.

Manager, Solution Advisory

Analytics Engineer

• Create and manage data marts and star schemas to support business intelligence initiatives.
• Collaborate with US-based teams to gather and understand business requirements.
• Develop, optimize, and maintain data models using DBT, Snowflake, and SQL.
• Lead and mentor junior developers, promoting best practices in data modeling and ETL processes.
• Utilize Tableau for data visualization and reporting.
• Ensure data integrity, performance, and scalability within the data warehouse environment.
• Participate in code reviews and provide constructive feedback to peers.
• Troubleshoot and resolve data-related issues promptly.
• Stay updated with the latest trends and technologies in data engineering and data warehousing.

Senior Analytics Engineer

User Researcher

• Partner with cross-functional teams to identify UX challenges and design effective research strategies
• Promote a strong user-centered design culture and research best practices across the organization
• Embed user research and usability testing into ongoing product and design workflows
• Lead and execute all phases of research, leveraging diverse qualitative and quantitative methods
• Generate insights through analytics and user feedback to inform product decisions and improvements
• Synthesize and communicate research findings through reports, presentations, and collaboration with stakeholders

UX Researcher

Full-stack Engineer

• As a Software Engineer, you will help scale our Coupa platforms as we expand and find the right balance between the power of a consolidated codebase and flexibility of microservice.
• You will collaborate with Product and Development teams to build new features and find creative and elegant solutions to complex problems.
• You will have the ability to participate in code reviews to create robust and maintainable code and work in an agile environment where quick iterations and good feedback are a way of life

Software Engineer

Vice President

• Lead and manage the enterprise sales team in the assigned region, setting clear goals, quotas, and performance metrics.
• Develop and execute regional go-to-market strategies aligned with company objectives.
• Own and exceed regional sales targets through strategic planning and effective pipeline creation and management.
• Recruit, develop, and retain top enterprise sales talent; coach and mentor team members to drive professional growth.
• Build and maintain strong relationships with key enterprise clients and executive decision-makers.
• Collaborate cross-functionally with Marketing, Product, Customer Success, and Revenue Operations to optimize sales processes and customer experience.
• Accurately forecast regional performance and report on KPIs to executive leadership.
• Stay informed of industry trends, competitor movements, and market dynamics to continuously refine strategies

RVP, Enterprise

• Help scale Coupa platforms and balance consolidated codebase with microservices
• Collaborate with Product and Development teams to build new features
• Offer advice and review designs and implementations
• Mentor others and systematically break down information

• Serve as the primary point of contact for sales to partners, building strong, strategic relationships to drive satisfaction, brand awareness, and customer acquisition.
• Collaborate with sales teams, partner business managers, and partners to define and execute joint business plans and GTM strategies, including co-marketing, sales enablement, account planning, and salesforce education to drive growth and adoption.
• Build trust and alignment with Coupa account teams while enabling internal and external stakeholders on the value and offerings of the partner.
• Monitor partner performance and revenue contribution, analyze KPIs, and provide reporting and recommendations to internal stakeholders for optimization.
• Support the Finance team in tracking and collecting partner revenue share, while coordinating with cross-functional teams to troubleshoot and resolve partner issues.
• Gather partner feedback and conduct field and quarterly business reviews to ensure partners maximize contribution and GTM offerings.

Mid Market Regional Partner Business Manager

Director

• Lead customer value metrics workshops
• Develop customer value roadmaps
• Conduct scheduled customer check-ins
• Drive periodic value reviews
• Prepare for Renewals with Account Executives
• Monitor customer performance
• Manage customer relationships
• Establish role as trusted advisor
• “QB” Coupa internal resources as needed
• Share best practices ideas, product information, and relevant Coupa news
• Support/drive customer marketing campaigns

Customer Value Director

AI Engineer

• Manage and mentor a team of data engineers, ML engineers, and knowledge engineers in India.
• Coordinate delivery with US-based technical leadership across time zones.
• Drive hiring and onboarding as the India team scales.
• Own sprint planning, delivery cadence, and progress reporting.
• Ensure technical quality through code reviews, architecture discussions, and engineering standards.
• Collaborate with the Principal Architect and ML Engineering Lead on technical direction.
• Remove blockers, manage cross-team dependencies, and ensure smooth collaboration.
• Contribute to data architecture and pipeline design decisions.

Senior Manager, Data & AI Platform

• Lead the design and implementation of data pipelines that prepare high-quality training data for AI models.
• Build data curation workflows that transform raw enterprise data into labeled, validated datasets.
• Design data quality frameworks: validation, profiling, anomaly detection, lineage tracking.
• Extend existing anonymized data export pipelines to support AI training workloads.
• Implement synthetic data generation pipelines.
• Design schema mappings across 197+ enterprise tables for feature extraction.
• Collaborate with ML engineers on training data format requirements.
• Establish data catalog and metadata management for AI training artifacts.

Senior Lead AI Engineer, Data

• Build and maintain automated evaluation pipelines for AI model quality.
• Implement task-specific benchmarks and test suites.
• Design quality dashboards tracking accuracy, regression, and safety metrics.
• Implement automated regression testing for every model iteration.
• Build comparison frameworks for side-by-side evaluation of model variants.
• Analyze evaluation results to identify failure modes and report to the ML team.
• Maintain evaluation datasets: versioning, quality validation, coverage analysis.
• Support A/B testing infrastructure for production model validation.

AI Engineer, Evaluation & Quality

• Design and implement an ontology from Coupa's existing data models (hundreds of entity models, relationships, business rules).
• Build and populate a knowledge graph with entity instances and relationship edges.
• Implement graph query interfaces for AI model consumption.
• Design tenant-isolated vs. shared knowledge graph layers.
• Map existing taxonomies and classification hierarchies into the knowledge graph.
• Collaborate with ML engineers to generate ontology-aware training data.
• Evaluate graph storage options (Elasticsearch graph queries, Neptune, Neo4j) and recommend approach.
• Evolve the ontology as AI capabilities expand to additional platform areas.

Senior Engineer, Knowledge Engineering

• Design and implement training data generation pipelines, including synthetic data generation.
• Build data labeling and annotation workflows with quality validation loops.
• Convert enterprise data into formats suitable for model training (instruction-tuning pairs, embeddings).
• Implement active learning strategies to identify high-value training examples.
• Collaborate with domain experts to validate training data quality and relevance.
• Build automated data quality checks: coverage, balance, consistency.
• Design training data versioning and lineage tracking.
• Analyze model evaluation results to identify training data gaps.

Senior Principal Global AI Strategist

Principal Architect

Manager, Solution Advisory

Senior Analytics Engineer

UX Researcher

Software Engineer

RVP, Enterprise

Software Engineer

Mid Market Regional Partner Business Manager

Customer Value Director

Senior Manager, Data & AI Platform

Senior Lead AI Engineer, Data

AI Engineer, Evaluation & Quality

Senior Engineer, Knowledge Engineering

Senior AI Engineer, NLP, Training Data