Coupa Software

Account Executive

• Prospecting, building pipelines and selling Coupa supply chain solutions
• Engaging with C-level prospects, Procurement, IT and Supply Chain Managers to position Coupa’s strategic value proposition and lead deals to closure
• Collaborating with customers and internal teams to build joint vision roadmaps outlining the value that Coupa will deliver
• Creating and maintaining actionable account plans to guide and develop strategies and identify new business opportunities
• Providing accurate forecasts and monthly reports to the sales manager to communicate the health of the sales pipeline, significant market trends, and any potential risks that may impact the ability to hit targets

Senior Account Director – Enterprise

Financial Planning and Analysis

• Build operational framework for new reseller partner program, including the Salesforce requirements, order form support, and partner payment processing
• Drive processing of partner finance related monthly activities, such as; virtual card expense reconciliations, Coupa advantage supplier invoice management, and other expense / invoice related reporting requirements
• Develop business partnerships with key stakeholders in supported organizations such as, FP&A, Accounting, Revenue, and Partner Alliances
• Ensure the transition of all partner related finance, reporting, and tracking requirements from the current alliance and commercial finance team owners
• Review of all open PO’s ensuring adequate funding, review as they approach expiration, ensuring alignment with the owner on the need for additional funds
• Support partner management manager with the review of net new partner agreements, driving inclusion into standardized process and pipeline activity for any reporting script changes / impacts
• Review all current partner billing and rebate agreements ensuring an aligned and documented process for reporting and payments
• Order from support for supply chain and app marketplace partners
• Curate process documentation for all expense / income related partner programs, ensuring business continuity and up to date work instructions
• Support all other internal organizations currently managing partner processes including but not limited to; Travel, Treasury Management, Coupa Pay, Coupa Link, Coupa Advantage and Revenue
• “ad-hoc” operations related projects as deemed necessary by supporting partner finance manager

Finance Operations Analyst

Vice President

• Manage a team of demo configuration specialists manage, maintain, upgrade world class demonstration environments to allow Solution Advisory to deliver high impact value demonstrations
• Govern the upgrade process by working closely with the product and operations teams to environment demo environment uptime and performance quality
• Manage multiple stakeholders while maintaining scalable, performant, feature/value rich demo transaction, process flows and reporting
• Manage a virtual team of GDS business and technical engineers and coordinate contributions from key stakeholders, including Sales, Marketing, Product, Finance, Delivery, Implementation, Legal, and IT/Security
• Manage the ticket request process to completion using Jira to assign team members to Jira ticket issues all the way through to completion while tracking progress, and follow up with subject matter experts, and resolve open issues
• Organize and lead bid-related meetings, ensuring alignment across all contributors
• Clearly communicate to the VSA team, Sales Leaders and Account Executives when a no-bid response is decided for unqualified and short-turnaround proposal requests
• Architect and develop intelligent agents using Coupa Agent Studio to automate complex workflows
• Utilize Coupa Compose to build solution proof-of-concepts using Coupa AI technologies.
• Apply prompt engineering and LLM orchestration logic to ensure agents are accurate, context-aware and performant.
• Build and connect prototypes via MCP, A2A, BYOA to diverse systems and data sources including ERPs (SAP, Oracle, Servicenow, Netsuite…), middleware systems, and third-party data providers.
• Develop and maintain middleware/scripts to facilitate seamless data exchange via APIs and JSON/XML formats.
• Ensure bi-directional data integrity between the AI agents and the 3rd party environments.
• Partner with Solution Advisors to translate "customer pain points" into technical requirements for rapid prototyping.
• Participate in discovery sessions to provide technical feasibility assessments for custom AI solutions
• Participate in dry-run and demonstration walk-thru reviewing your AI Agents

RVP, Global Demo Services

Performance Marketing

• Own top-of-the-funnel growth and accelerate pipeline velocity through a cohesive digital roadmap including the website, SEO/SEM, AEO, paid social, and content syndication.
• Partner with the Integrated Campaigns and Sales teams to deploy targeted "always-on" and bespoke digital plays for Tier 1 accounts.
• Work seamlessly with Global Corporate Marketing to adapt brand-level initiatives for local relevance in EMEA and APAC markets, as well as INTL integrated marketing function to align closely with Sales Campaigns.
• Own the Digital Demand engine across the region including close collaboration with field leaders, providing confidence around strategic approach, channel selection and regular reporting and results updates.
• Implement advanced lead nurturing programs to seamlessly guide prospects through the international sales funnel from awareness to consideration to purchase
• Establish a strict "test-measure-learn" framework. Utilise data and analytics tools to track key performance indicators (KPIs) and provide consistent, actionable reporting to stakeholders.
• Institute a "value creation" mindset across all international planning activities, managing operational budgets effectively.

Director, Demand Generation

Systems Engineer

• Design, build, and maintain robust data structures (data marts and star schemas) specifically for RevOps metrics and performance reporting.
• Serve as the data expert lead for critical RevOps systems including Salesforce, Clari, Outreach, Gong and Chorus, ensuring data extraction is clean, accurate, and optimized for analysis.
• Develop, optimize, and maintain complex SQL queries and data logic using DBT on Snowflake to support RevOps reporting.
• Design, create and manage advanced Tableau dashboards and reports to visualize key revenue performance indicators and support strategic decision-making.
• Apply advanced analytical techniques, including AI/ML concepts, to enhance forecasting, segmentation, and process optimization within the revenue funnel.
• Collaborate closely with Sales, Marketing, Finance, and IT to translate business requirements into technical data solutions.
• Ensure the integrity, reliability, and accuracy of revenue data across all integrated RevOps platforms.
• Document data flows, business logic, and maintain high standards through peer review of data transformation code.
• Troubleshoot data discrepancies and resolve systemic data quality issues within RevOps systems.

Lead Revenue Operations Systems & Insights Analyst

AI Engineer

• Build and own the end-to-end model fine-tuning pipeline: data preprocessing, training, evaluation, and model registry.
• Implement and optimize fine-tuning techniques (QLoRA, LoRA, PEFT, full fine-tune) for our training workloads.
• Design and maintain evaluation harnesses with task-specific benchmarks and automated regression testing.
• Drive the training iteration loop: analyze results, diagnose failure modes, improve data and configuration.
• Implement experiment tracking, hyperparameter optimization, and reproducible training workflows.
• Collaborate on training data strategy with data engineering, including synthetic data generation.
• Evaluate model quality across safety, accuracy, latency, and cost dimensions.
• Contribute to model serving architecture and inference optimization.
• Mentor ML engineers across the team.

Senior Lead AI Engineer

Platform Engineer

• Manage end-to-end **Data pipeline **(ETL jobs) within agreed SLAs.
• Manage AWS core and **big data services** (S3, IAM, EMR, Redshift, etc..).
• Running applications in containers (ECS, Docker).
• Lead Day 2 operational lifecycle for ML and GenAI infrastructure. This includes designing, deploying, and maintaining high-availability production LLM serving platforms, implementing automated scaling, self-healing, and infrastructure-as-code patterns. Focus on proactive reliability, model performance observability, and continuous cost optimization for high-compute AI workloads.
• Collaborate closely with our product development and engineering teams to create AI-driven features.
• Drive cloud operations consistency by automating platform maintenance, standardizing infrastructure configurations (IaC), and implementing robust release management processes to minimize drift across multi-cloud environments.
• Manage AWS infrastructure using code (Terraform, Chef, etc..).
• Administering applications running in Linux operating system.
• Enable application and system monitoring for better observability.
• Application and infrastructure support for ETL jobs and data pipelines including participating in an on-call rotation for after-hours emergencies.
• Collaborate with platform and Dev teams to plan and deploy product releases and patch Linux/ECS clusters.
• Ability to participate in design reviews, code reviews, and troubleshooting incidents.
• Ability to operate in a high-pressure environment and troubleshoot complex issues quickly while successfully handling multiple priorities.
• Ability to record, write, and review RCAs.

Lead Data Platform Engineer

Manager

• Lead strategic discovery and AI opportunity mapping across the Coupa platform to identify untapped functionality where AI and Intake Orchestration can solve business friction
• Apply logical reasoning to guide customers away from ineffective AI use cases, focusing on high-impact solutions that address underlying business problems
• Leverage deep procurement and finance domain expertise to design AI agents aligned to specific personas and operational workflows
• Own and sequence customer AI deployment roadmaps, prioritizing AI-ready domains for immediate ROI while planning long-term agentic transformation initiatives
• Influence Business Spend Management (BSM) transformation initiatives across procurement, AP, finance, and Source-to-Pay workflows
• Define future-state operating models and KPIs focused on measurable business outcomes and operational impact
• Drive the creation of customer-led AI Centers of Excellence (COE) to support governance, adoption, and long-term AI success
• Build trusted advisor relationships with executive stakeholders, serving as the strategic lead and AI transformation expert throughout customer engagements

Senior Principal Solution Manager

Director

• Proactively partner with post-sale leaders to define their strategic needs, translating leadership objectives into a clear, evolving analytical agenda. Serve as the analytical voice in QBRs, board prep, and executive reviews.
• Build the customer intelligence data model. Integrate structured data (Salesforce, product telemetry) and unstructured data (tickets, calls, notes) into a single coherent view of the customer.
• Develop early-warning analytics for churn, expansion, and adoption. Build the diagnostic and predictive layer that lets the post-sale org intervene early and scale what's working.
• Define how we measure AI value. Establish the framework for measuring customer adoption, engagement, and outcomes tied to Coupa's agentic AI capabilities. This is an emerging discipline and you'll help shape it.
• Lead and grow the team. Set the analytical vision, develop the people, and expand the function's influence across the company.

Director, Customer Intelligence

DevOps Engineer

• Lead database architecture and design initiatives, delivering scalable, high-performance, reliable solutions aligned with business needs and long-term strategic goals.
• Leverage AI/ML technologies to improve database operations through performance optimization, capacity planning, anomaly detection, predictive maintenance, and automation.
• Develop, maintain, and enhance database monitoring, alerting, backup, and disaster recovery systems to ensure system health, data integrity, and high availability.
• Troubleshoot and resolve complex database issues, providing technical leadership, guidance, and operational support, including participation in on-call rotations.
• Ensure compliance with regulatory requirements and internal policies by conducting regular database audits, assessments, and governance reviews.
• Collaborate effectively across cross-functional teams, mentor junior database engineers, stay current on emerging database technologies and best practices, and remain flexible to support global teams across multiple time zones.

Lead Database Reliability Engineer

• Drive high volume of weekly activity that includes customer meetings, prospecting and opportunity progression
• Navigate complex buying groups across legal, IT, finance, and procurement
• Lead high-impact conversations with CFOs, VPs, and senior finance stakeholders
• Uncover business pain, quantify value, and build airtight ROI cases
• Sell outcomes—not software
• Hit or exceed quarterly quotas with pipeline rigor and tight forecasting
• Run a clean, accurate Salesforce motion—know your deals cold
• Partner with ADRs, SEs, and CS to increase win rates and accelerate cycles
• Position Coupa as the must-have platform for Total Spend Management
• Stay sharp on procurement, AP automation, and enterprise SaaS trends
• Bring insights that challenge their thinking—and move deals forward

Account Executive, MidMarket

Customer Success Manager

• Help customers get the most out of their Coupa Pay investment
• Drive growth and adoption of Virtual Cards, Digital Payments, and Working Capital Solutions
• Create and own the adoption strategy plan
• Help customers create success goals linked to their business objectives
• Become a trusted partner and engage customers in strategic conversations
• Analyze and report on customers’ overall Pay opportunity
• Forge strong partnerships with customers, partners, suppliers, and colleagues
• Meet customers in person via occasional travel
• Provide Coupa platform demonstrations and training

Senior Coupa Pay Success Manager

• Administration of Linux machines, Web servers, Application servers, Databases Application and cloud infrastructure support for customer environments.
• Provide application support on Java and Ruby applications.
• Own end-to-end availability and performance of mission critical services and build automation to prevent problem recurrence.
• Tools development and automation to increase availability and performance.
• Ensuring the data, services and infrastructures are reliable, fault-tolerant, efficiently scalable and cost-effective.
• Collaborate with Product and Release engineering for new product releases and maintenance.
• Coordinate incident, problem and change management.
• Participate in on-call rotation for after-hours and weekend emergencies

Senior DevOps Engineer

Product Manager

• This is a high-impact role at the intersection of product innovation, AI/ML strategy, and enterprise workflow transformation. You’ll work cross-functionally with engineering, data science, design, and go-to-market teams to turn customer needs and AI advancements into tangible product
• Own product management responsibilities for AI-driven platform capabilities, with a focus on designing and launching autonomous AI agents that automate complex enterprise workflows
• Partner closely with UX research and design teams to craft intuitive, trustworthy, and action-oriented agentic AI experiences that seamlessly blend human guidance with autonomous execution
• Translate advances in LLMs, multi-agent systems, RAG, MCP, and agent orchestration frameworks into scalable product capabilities that deliver measurable productivity and automation gains
• Collaborate with data science, ML engineering, and platform teams to design and build robust AI agent orchestration, workflow automation, and tool integration capabilities
• Define product requirements for AI agents, copilots, and autonomous workflows, including reasoning, planning, tool usage, and multi-step task execution
• Design and refine AI-native user experiences including conversational interfaces, copilot workflows, and human-in-the-loop oversight patterns
• Conduct user research and analyze feedback to continuously improve agent behavior, decision transparency, response quality, and workflow completion
• Define and monitor success metrics such as agent task completion rates, model accuracy, workflow automation impact, user engagement, and trust signals
• Work closely with cross-functional partners across engineering, GTM, customer success, and product marketing to ensure successful launch, adoption, and scaling of AI capabilities
• Advocate internally and externally for agentic AI platforms and intelligent automation, helping teams and customers understand emerging AI technologies and their practical value
• Lead products through the full lifecycle — from concept and experimentation to production scale and long-term platform evolution
• Prioritize ruthlessly across competing initiatives to focus teams on high-impact AI capabilities and customer outcomes

Senior Product Manager

Artificial Intelligence

• Partner with account teams (AEs, Solution Advisory, Forward-Deployed Engineers, Coupa Spend Lab) throughout the end-to-end customer lifecycle to shape deal strategy, align on value hypotheses, and create compelling commercial narratives.
• Lead high-quality discovery with senior and executive stakeholders to understand strategic objectives, current processes, pain points, and organizational constraints across the sourcing, procurement, supply chain, finance, and treasury functions—with a particular focus on identifying high-value AI and automation use cases.
• Develop business cases and ROI models that synthesize complex datasets, benchmark performance, and quantify achievable outcomes across improved savings rates, increased spend capture, process improvements, and working capital optimization.
• Create and deliver executive-level presentations that clearly communicate findings, recommendations, and target metrics with a strong storytelling arc.
• Guide account teams as a deal captain, ensuring value is consistently positioned, integrated into the sales strategy, and reinforced throughout the cycle.
• Contribute to territory and account planning, identifying where value-led conversations can unlock pipeline and accelerate customer engagement.
• Mentor and elevate Value Advisory peers, sharing frameworks, best practices, and content development, and insights.
• Design, develop, and facilitate AI Transformation Workshops tailored to each customer’s spend data, organizational maturity, and strategic priorities. Workshops should identify 1–2 high-value AI use cases, assess technical feasibility, and build executive commitment for Coupa Compose and AI agent adoption.
• Conduct AI readiness assessments evaluating customer maturity across culture, data quality, process standardization, and change management capacity. Frame readiness gaps in business terms and co-develop adoption roadmaps with customer stakeholders.
• Serve as the connective tissue between customer vision and technical build within the cross-functional pod model (Value Advisory, Solution Advisory, FDEs, Business Transformation Consultants). Define the “what” and “why” of the AI transformation vision while enabling architects and engineers to define the “how.”
• Guide customers through organizational change management (OCM) implications of moving from manual to AI-augmented and agentic workflows, including workforce evolution, new governance structures, and Centers of Excellence for AI-driven procurement.