Senior Director, AI Platform Engineering

Coupa Software

. Lead the technical strategy and delivery roadmap for expanding Coupa's AI platform capabilities .

Posted 10/4/2026full-timeFoster City • California • United StatesSenior💰 $304,667 - $350,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading AI/ML engineering teams, driving technical strategy, and managing complex AI capabilities in enterprise environments. Proficient in data strategy, model training, and ensuring responsible AI practices while effectively communicating with C-level stakeholders.

Highest-signal resume keywords

AI/ML Engineering LeadershipModel Training And ServingCloud Infrastructure ManagementVendor Management With AI ProvidersExecutive Communication

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringAI/ML SystemsModel Fine-TuningData PipelinesAI Use Case DefinitionB2B SaaS Product DeliveryData Quality FrameworksPrivacy-Safe PracticesDistributed Team ManagementTechnical Decision Evaluation

Soft Skills

Team BuildingStrategic ThinkingPartnership DevelopmentCommunication SkillsLeadership

Tools & Technologies

AI PlatformsCloud OperationsData PlatformsEngineering Tools

Certifications & Qualifications

Advanced Degree In Computer ScienceEngineering

Industry Keywords

AI CapabilitiesModel IntegrationsEnterprise ScaleTenant IsolationResponsible AI Practices

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

Lead the technical strategy and delivery roadmap for expanding Coupa's AI platform capabilities
Build and manage a high-performing engineering team across the US and India
Hire across ML, data engineering, and platform disciplines
Drive strategic partnership evaluations with AI infrastructure and model providers
Define and prioritize AI use cases delivering high accuracy and business impact with product leadership
Expand model training, evaluation, and serving infrastructure beyond frontier model integrations
Own AI data strategy, including data pipelines, quality frameworks, and privacy-safe practices
Coordinate with AI platform, data platform, application platform, and cloud operations teams
Manage budget, hiring plan, and delivery milestones for the AI platform engineering organization
Present strategy, progress, and results to VP/SVP/C-level stakeholders
Ensure data safety, tenant isolation, and responsible AI practices across AI capabilities
Report to senior engineering leadership with regular visibility to C-level stakeholders

Requirements

What you’ll need

15+ years of software engineering experience
5+ years in engineering leadership at Director or Sr. Director level
Track record building and leading AI/ML engineering teams of 15+ people across multiple geographies
Deep technical understanding of ML/AI systems, including model training, fine-tuning, RAG, and model serving
Ability to evaluate technical decisions and challenge architects
Experience delivering AI/ML products in an enterprise B2B SaaS environment
Experience scaling engineering teams and shipping complex AI capabilities from concept to production
Strong partnership and vendor management experience with major AI and cloud providers
Experience with cloud infrastructure at enterprise scale
Track record managing distributed teams across the US and India
Excellent executive communication, translating technical strategy into business impact for C-level audiences
Understanding of data privacy, tenant isolation, and responsible AI practices
Advanced degree in Computer Science, Engineering, or equivalent practical experience

Benefits

Comp & perks

Two designated company-wide paid wellness days off each year
Paid day off on your birthday or another day within your birthday month
40 hours of paid Volunteer Time Off annually
Free, confidential, 24/7/365 Employee Assistance Program counseling and resources
Zurich Travel Assist business travel protection
Monetary referral bonuses for successful referrals
Location-specific comprehensive medical/dental insurance
Location-specific retirement/pension plans
Location-specific life or accident protection
Inclusive and welcoming work environment