Lead the Center for AI Enablement, driving AI integration, strategy, compliance, and operational excellence across the university’s campuses.
Locations (2)
Glendale, Arizona, United States
Downers Grove, Illinois, United States
Responsibilities
Establish and maintain the AI community of practice
Partner with ERP transformation team to automate operations
Mitigate distributed IT and reduce redundant software licenses
Co‑direct discovery sessions and listening tours
Draft and implement institutional AI policy frameworks
Requirements
Bachelor's degree in Instructional Design and Technology, Higher Education Leadership, Educational Technology, Healthcare Informatics, or related discipline
Master’s degree preferred
Nice to have: 8+ years leadership experience in higher education technology
Lead the architecture, design, and implementation of high-performance backend systems for Akamai’s API Team.
Compensation
For US based candidates only - the base salary for this position ranges from $146,400 - $263,600/year; a candidate’s salary is determined by various factors including, but not limited to, relevant work experience, skills, certifications and location. Compensation for candidates outside the US will vary. The compensation package may also include incentive compensation opportunities in the form of annual bonus or incentives, equity awards and an Employee Stock Purchase Plan (ESPP).
Responsibilities
Architect high-performance REST APIs and service layers using Python and Flask
Design robust schemas and optimize database queries using SQLAlchemy
Lead technical design reviews and mentor junior and mid-level engineers
Implement authentication, rate limiting, and observability across distributed backend services
Design fault-tolerant backend services with circuit breakers and defensive validation
Lead the design and implementation of agentic workflows within Snowplow’s Applied AI platform, working closely with business functions to map processes, build agents, and hand off sustainable solutions.
Locations (2)
Boston, Massachusetts, United States
Massachusetts, United States
Responsibilities
Map current workflows and document process flows
Build agentic workflows using Snowplow’s shared factory framework
Validate and tune agents with domain experts
Coordinate handoff and ongoing support for deployed solutions
Frontend software engineering role focused on building machine learning products for pricing and marketing analytics at HP.
Responsibilities
Use web-based programming languages and technologies to design, develop, test, debug, and deploy enterprise-grade applications on a cloud-based system in compliance with cyber-security requirements
Troubleshoot production bugs
Be proactive to enhance current processes
Document & help other team apply best practices
Automate operational processes as needed
Requirements
Bachelor’s degree in Computer Science or a related field, or equivalent practical experience
Build and deploy AI-enabled solutions across investment, finance, compliance and operations teams, combining full-stack engineering, data pipelines, system integrations and AI experimentation.
Compensation
Compensation range: CAD$90,000 to CAD$130,000
Responsibilities
Partner with business units across investment, finance, compliance and operations to understand operational problems, scope technical solutions, and rapidly prototype and iterate based on real-world feedback.
Design and build data pipelines that move, transform, and prepare data from internal systems for use in AI and analytics workflows.
Own end-to-end integrations between internal platforms and third-party APIs, including authentication, error handling, and ongoing maintenance.
Contribute to foundational infrastructure decisions – data storage, service architecture, deployment patterns – as the firm's data and AI platform matures.
Build and deploy production-ready AI applications, including RAG pipelines, agentic workflows, and LLM integrations, with a pragmatic eye toward what actually works at scale.
Requirements
Bachelor's degree in Computer Science, Engineering or a related field, or equivalent practical experience.
Nice to have: experience in financial services or alternative asset management
Nice to have: familiarity with structured financial data
Nice to have: compliance constraints
Principal Product Manager - Business Applications AI
Lead the AI roadmap and product strategy for business applications across multiple enterprise domains, driving innovation and impact in a cybersecurity context.
Compensation
The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/com-missioned roles) is expected to be the annual range listed below. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here.
Responsibilities
Own and prioritize an AI-powered roadmap tailored to business applications across Sales, Licensing, Finance, Support, Customer Success, and BI & Data Analytics.
Partner with business leaders to identify bottlenecks and apply AI/Agentic workflows to streamline critical enterprise journeys.
Build and iterate on functional prototypes using AI-native tools and low-code platforms to validate AI agent interactions with enterprise APIs.
Define error budgets, accuracy guardrails, and compliance standards for AI outputs in business-critical systems.
Create and version-control Golden Sets to grade AI model performance in real-world business scenarios.
Lead AI product strategy and roadmap for business applications across multiple enterprise domains.
Compensation
The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/com-missioned roles) is expected to be the annual range listed below. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here.
Responsibilities
Own and prioritize an AI-powered roadmap tailored to business applications across Sales, Licensing/Entitlements, Finance, Support, Customer Success, or BI & Data Analytics
Partner with business leaders to identify manual bottlenecks and apply AI/Agentic workflows to streamline critical enterprise journeys
Use AI-native tools to build and iterate on functional prototypes that validate how AI agents interact with standard and proprietary enterprise APIs
Define error budgets, accuracy guardrails, and compliance standards for AI outputs within business-critical systems
Create and version-control “Golden Sets”—definitive datasets derived from internal enterprise data, logs, financial records, and customer telemetry
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