The VP Engineering, Business AI Applications, will be the principal technical leader responsible for integrating Artificial Intelligence (AI) and Machine Learning (ML) capabilities across CPQ and NPI ecosystems, with a core focus on the Opportunity-to-Quote lifecycle.
Compensation
$306,000.00 - $420,000.00/yr
Responsibilities
Define the multi-year technology strategy and architecture roadmap for AI integration into the Business App stack
Architect and establish company standards for advanced AI customer solutions
Lead Go-To-Market Engineering to scale pipeline generation and seller productivity
Lead and develop a global, multi-disciplinary team
Drive significant business impact by leading large-scale, multi-organizational, or global initiatives
Lead the Marketing Platform team, focusing on developing generative AI capabilities for marketing content production, multilingual AI capabilities, and scalable data architecture.
Responsibilities
Lead and develop a dedicated team of AI engineers, owning technical direction, code quality, sprint delivery and the growth of each engineer.
Take accountability for smooth delivery of the platform, planning releases and integrating new capabilities into the live product.
Work directly with Marketing stakeholders to interrogate requests, challenge assumptions and translate business requirements into AI models and agents.
Design and extend generative AI capabilities for marketing content production.
Lead the development of multilingual AI capabilities, covering model selection, adaptation, quality evaluation and production serving.
Lead technical direction for Platform DevOps and customer deployment engineering, shaping architecture, CI/CD, security, and operational reliability for mission-critical systems.
Compensation
$182,750—$215,000 USD
Responsibilities
Set and drive the technical roadmap for Platform DevOps and customer deployment engineering
Own technical alignment with customer stakeholders throughout delivery
Define architecture and standards for repeatable deployment and lifecycle automation
Lead the architecture for integration with customer identity and access systems
Own the technical direction for internal CI/CD and release infrastructure
Requirements
BS degree or higher in Computer Science, Engineering, or related fields
Middle Data Engineer responsible for ownership of analytical data infrastructure, optimization, and integration of data pipelines for the JustDone product.
Develop custom software solutions by designing, coding, and enhancing components across systems or applications using modern frameworks and agile practices.
Responsibilities
Design and implement multi-agent orchestration pipelines using LangGraph state machines
Engineer retrieval-augmented generation (RAG) systems
Model knowledge graphs and build hybrid retrieval
Govern prompts through a versioned prompt registry
Health, Dental, and Vision Insurance for U.S. employees
Health Insurance for employees in Argentina, Brazil, Egypt, India, Indonesia, Jamaica, Kenya, Mexico, Nepal, Nigeria, Pakistan, Philippines, Poland, Romania, Serbia, Spain, Ukraine
Agent Development Engineer, Customer SystemsNewApple · Cupertino, US+1 more
Staff DevSecOps EngineerLegion Intelligence · Remote
Middle Data EngineerGenesis · Kyiv, Ukraine+2 more