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# Technical Program Manager

- **Company:** Elorian, LLC
- **Location:** Palo Alto, CA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Software Documentation, Model Validation, Core Data
- **Published:** November 12, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=b2daa7387a2e7e6d

## About the Role

* Technical Program Ownership: 3+ years managing complex, cross-functional programs in fast-paced software, infrastructure, or data-intensive technical environments.
 * Curiosity & Technical Fluency: Comfort collaborating directly with ML scientists and software engineers, with an eagerness to quickly ramp up on model evaluation workflows and AI concepts.
 * Execution & Systems Mindset: Demonstrated ability to turn broad, undefined goals into structured workflows with high attention to operational quality and follow-through.
 * Clear, Concise Communication: Strong written and verbal communication skills capable of translating technical requirements into actionable plans and clean documentation.
 * Startup Agility: A proactive, roll-up-your-sleeves approach to tackling high-priority problems across operations, tooling, and partner logistics.

Nice to have

 * Prior exposure to frontier model development workflows, data labeling/annotation pipelines, or model evaluation cycles.
 * Experience navigating vendor evaluations, service agreements, or procurement workflows.
 * Background operating in high-growth, early-stage, or research-heavy engineering environments.

## Description

As our Technical Program Manager, you will be the operational backbone connecting research, engineering, and product. You will turn open-ended challenges into streamlined execution-running core data pipelines, coordinating complex model evaluation cycles, and steering launch readiness., * Drive Model & Milestone Delivery: Own cross-functional programs end to end-from benchmark readiness and eval cycles to public model launches-keeping timelines clear and unblocking technical teams.

 * Scale Data & Evaluation Operations: Partner with researchers to translate experimental goals into reliable data collection, annotation pipelines, and quality-assurance loops (gold sets, calibration, error analysis).
 * Lead Partner & Vendor Programs: Evaluate, onboard, and manage external data providers and compute/data vendors, ensuring delivery quality, cost efficiency, and smooth procurement.
 * Establish Lightweight Operating Systems: Build simple, pragmatic trackers, documentation standards, and launch checklists that help the team move fast without dropping critical details.
 * Bridge Technical & Go-to-Market Workstreams: Collaborate across research, product, and founders to prepare evaluation datasets, support pilot deployments, and coordinate partner-facing deliverables.