Technical Program Manager

Elorian AI

. Own cross-functional programs end to end, from benchmark readiness and evaluation cycles to public model launches .

Posted 11/11/2026full-timePalo Alto • California • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in managing cross-functional programs, ensuring operational quality, and translating technical requirements into structured workflows. Proficient in collaborating with ML scientists and software engineers while maintaining clear communication and documentation standards.

Highest-signal resume keywords

Cross-Functional Program ManagementModel Evaluation WorkflowsVendor Evaluation and ProcurementData Annotation PipelinesOperational Quality Assurance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Program ManagementData CollectionError AnalysisQuality AssuranceDocumentation StandardsData LabelingModel EvaluationBenchmark ReadinessEvaluation DatasetsProcurement Workflows

Soft Skills

Strong Communication SkillsProactive Problem SolvingAttention to DetailCollaborationAdaptability

Industry Keywords

AI ConceptsData-Intensive EnvironmentsHigh-Growth EngineeringResearch-Heavy EnvironmentsTechnical Environments

About the role

Key responsibilities & impact

Own cross-functional programs end to end, from benchmark readiness and evaluation cycles to public model launches
Keep timelines clear and unblock technical teams
Partner with researchers to translate experimental goals into reliable data collection, annotation pipelines, and quality-assurance loops
Manage gold sets, calibration, and error analysis processes
Evaluate, onboard, and manage external data providers and compute/data vendors
Ensure vendor delivery quality, cost efficiency, and smooth procurement
Build pragmatic trackers, documentation standards, and launch checklists
Collaborate across research, product, and founders
Prepare evaluation datasets and support pilot deployments
Coordinate partner-facing deliverables

Requirements

What you’ll need

3+ years managing complex, cross-functional programs in fast-paced software, infrastructure, or data-intensive technical environments
Comfort collaborating directly with ML scientists and software engineers
Eagerness to quickly ramp up on model evaluation workflows and AI concepts
Demonstrated ability to turn broad, undefined goals into structured workflows
High attention to operational quality and follow-through
Strong written and verbal communication skills
Ability to translate technical requirements into actionable plans and clean documentation
Proactive, roll-up-your-sleeves approach to high-priority problems across operations, tooling, and partner logistics
Prior exposure to frontier model development workflows, data labeling/annotation pipelines, or model evaluation cycles is nice to have
Experience navigating vendor evaluations, service agreements, or procurement workflows is nice to have
Background in high-growth, early-stage, or research-heavy engineering environments is nice to have
Able to work from the Palo Alto office on a regular basis