---
title: 'Technical Program Manager- LLM supporting Nvidia at Sustainable Talent'
canonical: 'https://feeny.ai/job/technical-program-manager-llm-supporting-nvidia-sustainable-talent-santa-clara-fyqp8n9zr6gy'
type: 'job'
last_seen: '2026-09-06'
---

# Technical Program Manager- LLM supporting Nvidia at Sustainable Talent

- **Company:** Sustainable Talent
- **Location:** Santa Clara, CA
- **Posted:** 2026-08-20
- **Last confirmed live:** 2026-09-06
- **Apply:** https://job-boards.greenhouse.io/sustainabletalent/jobs/4725561005

## Job description

Sustainable Talent is partnering with NVIDIA, a global leader that has been transforming computer graphics, PC gaming, and accelerated computing for over 25 years. We are looking for a Senior Technical Program Manager- LLM, to support our client's Simulation Division.  This is a full-time (W-2) contract role based in Santa Clara, CA. We offer competitive pay $95/hr - $125/hr  based on factors like experience, education, location, etc. and provide full benefits, PTO, and amazing company culture!

As a Technical Program Manager, you will help manage, test and improve NVIDIA’s simulation products. You will define best practices for defining and delivery products, project planning and development methodologies and represent the voice of the customer in the product planning process. You will have a strong passion for planning, development and a broad knowledge of real time technology, and good sensibility for building products.

What you'll be doing:

- Lead cross-functional AI initiatives, coordinating between research, engineering, and product teams to deliver agentic AI features and systems.
- Drive MLOps capabilities supporting reproducible training, experiment tracking, model versioning, evaluation, release automation, and production monitoring.
- Manage model-development dependencies involving datasets, compute capacity, training infrastructure, inference platforms, and evaluation tooling.
- Coordinate evaluation across accuracy, quality, latency, robustness, reliability, safety, and production-readiness dimensions.
- Support speech-model development across areas such as automatic speech recognition, text-to-speech, speech translation, audio understanding, and conversational AI.
- Drive readiness reviews and ensure that technical issues lead to remediation, retesting, or documented decisions.
- Collaborate with engineering on sprint planning, stand ups and sprint review and retrospective
- Work with engineering and product on shaping the roadmap and providing PORs to help with execution
- Ensure technical alignment and execution, translating research concepts into production-ready capabilities.
- Establish best practices to help improve productivity
- Manage dependencies and risks across multiple AI projects, ensuring milestones are met and resources are effectively allocated.
- Identify opportunities to improve model-development velocity, operational efficiency, and release quality.
- Provide concise program updates covering progress, risks, tradeoffs, resource needs, and decisions.

What we need to see:

- Bachelor’s degree or equivalent practical experience in computer science, engineering, data science, or a related field.
- 8+ years of experience in technical program management, engineering, product development, or technical operations.
- Experience leading complex, cross-functional software, infrastructure, AI, or machine-learning programs.
- Working knowledge of the ML lifecycle, including data preparation, training, evaluation, deployment, and monitoring.
- Experience managing technical dependencies across research, engineering, infrastructure, and product teams.
- Ability to communicate effectively with both highly technical teams and executive stakeholders.
- Strong organizational skills and demonstrated success operating in ambiguous, rapidly changing environments.
- Experience translating technical objectives into measurable roadmaps, milestones, and execution plans.

Ways to stand out from the crowd:

- Strong understanding of LLM (Large Language Model) architecture, frameworks (e.g., OpenAI, Anthropic, Hugging Face), and model evaluation.
- Managed a speech or audio model from initial research through production deployment.
- Understand how data quality, model architecture, training infrastructure, evaluation, and inference affect model performance.
- Built or scaled an MLOps process that improved model-development speed, reproducibility, or release quality.
- Describe how you managed multilingual data, evaluation coverage, or model variants across different products.
- You have coordinated large-scale training programs involving significant compute and infrastructure dependencies.
- You can translate research uncertainty into an actionable roadmap without creating unnecessary process.
- You have successfully aligned research, engineering, product, and infrastructure teams around a shared model release.
- You communicate technical risks and tradeoffs clearly to leadership.

Sustainable Talent is a M/F+, disabled, and veteran equal employment opportunity and affirmative action employer.

## About Sustainable Talent

## Company Overview
- **One-liner**: Sustainable Talent designs and operates enterprise-grade contractor workforce programs for Fortune 500 and high-growth companies, combining operational expertise with its proprietary TalentOS platform.
- **Entity Type**: Private (Bootstrapped/Backed by partners; no disclosed funding round)
- **Headquarters**: Miami, Florida, United States
- **Founded**: 2016
- **Founders**: Stephanie Rodis (CEO & Founder)

## Core Business
- Primary industry/industries: Workforce Infrastructure, Business Consulting & Services, HR Technology
- Target customers: Enterprise procurement, global operations leaders, and high-growth organizations (B2B). Client roster includes Microsoft, Amazon, Nvidia, Ford, Uber, and MongoDB.
- Mission or purpose statement: “Contractor programs have become fragmented… Specialized talent deserves operational discipline and structured support. Organizations should not choose between velocity and governance.”

## Products & Services
- **Contractor Program Management (Service)**: End-to-end ownership of contractor lifecycle—sourcing, W2 employment, global compliance, onboarding, payroll, and program oversight. Operates across 150+ countries.
- **Legal & Technical Specialists (Service)**: Vetted network of elite contractors deployed in AI, cloud, security, product, and engineering roles at top-tier clients.
- **TalentOS (SaaS/Platform)**: A real-time command center providing structured visibility into contractor performance, compliance status, and global workforce footprint for leadership, procurement, HR, and finance.

## Market Standing
- **Valuation/Market Cap**: Not publicly available (private, bootstrapped)
- **Key Metric**: 100% contractor compliance across global programs; 100% year-over-year enterprise client retention; 98.5% client satisfaction score; 4.8/5 Glassdoor rating (32 reviews)
- **Notable Investors/Partners**: Backed by ADP TotalSource and Deel; trusted by Microsoft, Amazon, Nvidia, Ford, Uber, MongoDB.
- **Growth Signals**: Headcount grew +57.1% year-over-year to 15 employees; 32,000+ LinkedIn followers (+12.7% YoY); enterprise clients across 150+ countries; expansion of TalentOS platform.

## Competitive Advantages
- **Differentiated operating model**: Not a transactional staffing firm—they build and run structured contractor programs with dedicated “operators,” not just software or agencies.
- **Governance-first approach**: 100% compliance and audit-ready controls across compliance, finance, and risk; “tools are not the operating model.”
- **Top-tier client validation**: Proven at scale with some of the world’s most demanding companies (Nvidia, Ford, Uber, MongoDB, Microsoft, Amazon).
- **TalentOS platform**: Combines automation (EOR/PEO integrations with Deel, ADP, BambooHR, Greenhouse) with human accountability for a unique one-view leadership dashboard.

## Strategic Focus
- Scaling the “operating standard” for global contractor programs, bridging the gap between velocity and governance.
- Deepening AI, autonomous vehicles, and cloud engineering talent pipelines (evidenced by current job postings for AI safety engineers, ML engineers, and autonomous vehicle test engineers).
- Expanding TalentOS as a standalone governance and visibility tool for procurement and finance leaders.

## Why Work Here
- **Culture**: Described as “operational discipline over shortcuts,” “ownership and accountability,” “mutual respect for consultants and clients.” Employees rate culture 4.7/5 on Glassdoor.
- **Work environment**: Global remote-friendly with roles in Santa Clara, San Francisco, Boston, Austin, London, and remote; contractor network operates flexibly. Office hub in Miami, FL.
- **Notable perks**: Contractors are treated as “long-term partners” with structured onboarding, dedicated operational support, and transparent expectations. Internal team is lean and high-impact—only ~15 core employees serving a massive client base.
- **Who thrives there**: “Operators who value structure, ownership, and impact”; not for those seeking transactional staffing work.

## Sources
1. [Sustainable Talent Website](https://www.sustainabletalent.com/)
2. [Sustainable Talent About Page](https://www.sustainabletalent.com/about/)
3. [Sustainable Talent Careers Page](https://sustainabletalent.com/careers)
4. [LinkedIn Company Profile](https://www.linkedin.com/company/sustainabletalent)
5. [Greenhouse Jobs Board](http://job-boards.greenhouse.io/sustainabletalent)

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