---
title: 'Sr. AI Engineer at Globality, Inc.'
canonical: 'https://feeny.ai/job/sr-ai-engineer-globality-inc-palo-alto-chmhyt45a19r'
type: 'job'
last_seen: '2026-09-11'
---

# Sr. AI Engineer at Globality, Inc.

- **Company:** Globality, Inc.
- **Location:** Palo Alto, CA
- **Posted:** 2026-08-31
- **Last confirmed live:** 2026-09-11
- **Apply:** https://job-boards.greenhouse.io/globalityinc/jobs/8766439002

## Job description

Globality is the autonomous sourcing platform to manage the entire intake to award process.

At Globality, we build agentic technology that transforms how global enterprises source goods and services — autonomously, at scale, and without the inefficiencies that have defined procurement for decades. Our platform interprets purchase intent, generates sourcing materials, evaluates suppliers, and executes negotiation strategies without manual intervention.

## The Role

We’re seeking a Sr. AI Software Engineer with deep expertise in building scalable AI platforms and developer tools. This role is ideal for someone passionate about enabling AI innovation through robust infrastructure, intuitive tooling, and seamless integration of cutting-edge models. You’ll be at the forefront of operationalizing AI—designing systems that empower teams to build, deploy, and iterate on intelligent applications with speed and reliability.

## What You Will Do

- Platform Architecture & Development: Design and implement scalable AI platforms using Python. Integrate MLOps tools for model versioning, deployment, monitoring, and lifecycle management.
- AI Tooling & LLM Capabilities: Build tools and abstractions to interface with large language models, including prompting frameworks, agentic workflows (e.g., with LangGraph), and LLM orchestration services.
- Data Engineering & ETL: Collaborate with data teams to build robust ETL pipelines, preprocess training data, and construct feature workflows that feed AI models at scale.
- Reliability & Monitoring: Implement model monitoring dashboards to ensure platform reliability and performance, and investigate production prompt results.
- Research & Innovation: Stay ahead of cutting-edge trends in Generative AI. Prototype AI scenarios that unlock new product or operational value.
- Testing, Documentation & Standards: Define rigorous unit, integration, and performance testing methodologies. Maintain comprehensive documentation and enforce best practices for ethical and secure AI usage.

## What You Bring

- Bachelor’s or Master’s in Computer Science, Engineering, or related field
- 4+ years of experience building production-grade AI/ML platforms or developer-centric AI tools
- Strong software engineering skills in Python (preferred) and familiarity with Java/Go and OOP/data structures
- Familiarity with LLM prompting design, agentic workflows (e.g. LangGraph)
- Experience building and deploying on cloud platforms (AWS, Google Cloud, Azure); familiar with Docker and Kubernetes
- Solid understanding of MLOps principles: CI/CD, model versioning, monitoring, metrics
- Exceptional communication and collaboration across engineering and product teams

## Nice to Have

- Experience with large-scale data pipelines (e.g., Apache Spark, Kafka)
- Certifications in cloud platforms, ML engineering, or specific AI tooling
- Awareness of AI ethics, biases, fairness, and data privacy protocols

## Why Globality

The opportunity is enormous. Enterprise procurement is one of the last major business functions to be transformed by AI. We're not optimizing at the margins — we're fundamentally rethinking how trillions of dollars get spent.

The team is world-class. Our leadership team brings decades of experience from leading global enterprises, and our culture is built for people who want real ownership, not titles.

You'll have real impact. This isn't a role where you execute someone else's playbook. You'll shape the strategy, build the programs, and see the direct business impact of your work.

We work together — literally. We're in-office 4 days a week in Palo Alto because the best ideas – and the fastest decisions – happen face to face. One day is yours to work wherever you’re most effective.

The anticipated annual base salary range for this position is $150,000 - $250,000. Actual compensation may vary based on factors such as experience, skills, and location. This information is provided in accordance with the California Equal Pay Act. We are an equal opportunity employer and participate in the E-Verify program. We are committed to building a diverse and inclusive workplace and do not discriminate on the basis of race, color, gender, sexual orientation, gender identity, religion, national origin, age, disability, or any other protected status.

## About Globality, Inc.

## Company Overview
- **One-liner**: Globality provides an AI-driven platform that helps Global 2000 enterprises manage and optimize all categories of spending, guaranteeing cost savings and improved business outcomes.
- **Entity Type**: Private (Series unknown; total funding $357.6M over 5 rounds)
- **Headquarters**: Palo Alto, California, United States (also offices in London, England and Bozeman, Montana)
- **Founded**: 2015
- **Founders**: Joel Hyatt (Co-Founder, Chairman & CEO) and Lior Delgo (Co-Founder & President)

## Core Business
- Primary industry: Enterprise spend management / autonomous sourcing (Software Development, AI)
- Target customers: Global 2000 enterprises (B2B, Enterprise)
- Mission: Use AI to transform enterprise spending into a smarter, fairer process, and create more efficient, inclusive markets around the globe.

## Products & Services
- **Globality AI Platform**: An end-to-end, AI-powered workflow for all enterprise spend – from large, complex purchases to unmanaged tail spend. The platform drives down costs, upgrades decision-making, accelerates outcomes, and manages risk. It guarantees 15× the first-year license fee in savings or money back. Customers achieve 10%–20% cost savings, 70% efficiency gains, and 20× ROI.

## Market Standing
- **Valuation**: Not publicly available (private company)
- **Key Metric**: Total Funding $357.6M; Annual Revenue $80.0M (estimated, per LinkedIn)
- **Notable Investors/Partners**: Board members include Jeff Epstein (Partner, Bessemer Venture Partners), Bob Gunderson (Founding Partner, Gunderson Dettmer), Mark Vorsatz (CEO, Andersen Tax), Dennis M. Nally (Former Global Chairman, PwC), John R. Joyce (Former CFO, IBM), Scott Belsky (Chief Strategy Officer, Adobe). Advisors include Theodore Kruttschnitt.
- **Growth Signals**: Trusted by the Global 2000; hybrid workforce with 98 total employees (48 in product+tech); headcount decreased 6.6% YoY (to 64 employees per LinkedIn, potentially conflicting); strong LinkedIn following (11,279, +12% yearly).

## Competitive Advantages
- **Guaranteed savings model**: 15× the first-year license fee or money back – lowers risk for enterprise adoption.
- **AI-first, built from scratch**: Proprietary AI built specifically for sourcing and spend management, not a bolt-on.
- **End-to-end platform**: Covers all spend categories, from strategic sourcing to tail spend, with total visibility.
- **Enterprise-grade trust**: Led by a board of former Fortune 500 executives and deep industry advisors.

## Strategic Focus
- Continue to expand AI capabilities to automate and optimize all enterprise spending.
- Grow global footprint (offices in US, UK, and Hong Kong).
- Emphasize "Autonomous Enterprise" vision where AI drives procurement decisions.
- Maintain strong customer ROI (20×) to drive adoption and retention.

## Why Work Here
- **Culture**: Award-winning, collaborative, innovation-driven. Values include trust, collaboration, and distributed team building.
- **Work Model**: Hybrid – 3 days in-office per week; offices in Palo Alto, London, and Bozeman; flexible hours.
- **Perks & Benefits**: Competitive compensation, equity, performance bonuses, generous PTO, paid holidays/ sick days, premium health (medical/dental/vision, FSA), family leave (parental leave, family medical leave), 401(k) matching, commuter benefits, free snacks/drinks, employee discounts.
- **Tech Stack**: AWS, Node.js, TypeScript, React Native, TensorFlow, Kafka, Spark, Hadoop, CircleCI, Figma, Salesforce, HubSpot, Slack, Tableau, and more.
- **Learning & Development**: Emphasis on continuous learning and career growth.

## Sources
1. [globality.com – Careers](https://www.globality.com/company/careers/)
2. [globality.com – Home](https://www.globality.com/)
3. [globality.com – About Us](https://www.globality.com/company/about-us/)
4. [builtin.com – Globality, Inc. Careers, Perks + Culture](https://builtin.com/company/globality-inc)
5. [linkedin.com – Globality, Inc.](https://www.linkedin.com/company/globality-inc-)

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