Data infrastructure jobs

Senior Director, Commercial Lead, Creators

Wasserman · Posted Nov 9, 2026

Open

Brooklyn, New York, United States
Senior
$175K–$225K per year
8+ years

Senior Director, Commercial Lead, Creators

Wasserman · Posted Nov 9, 2026

Open

Brooklyn, New York, United States
Senior
$175K–$225K per year
8+ years

Business Development Manager GPU

VAST Data · Posted Nov 9, 2026

Open

Shanghai, China
10+ years

Apply with RefersoAI Apply on careers page

Lead GPU business development across China, driving new opportunities and building relationships with GPU cloud providers, computing centres, and enterprise AI users.

Responsibilities

Own the GPU and AI infrastructure business development pipeline for China, from first conversation through to close, working alongside the China sales team
Target and win GPU cloud providers, intelligent computing centres, AI model builders, internet companies and large enterprises deploying AI at scale
Build strong relationships with the GPU and accelerator ecosystem, including server OEMs, system integrators and infrastructure partners, to drive joint opportunities
Position VAST at the heart of new AI cluster designs early, before storage and data decisions are locked in
Work closely with pre-sales and solution engineering to shape architectures, run proofs of concept and land reference wins

Requirements

Nice to have: storage
Nice to have: server
Nice to have: networking
Nice to have: GPU cloud vendor
Nice to have: AI model builders

Skills

enterprise technology sales business development AI

Data Centric Architecture (DCA) Specialist

Saab · Posted Nov 9, 2026

Open

Solna, Stockholm County, Sweden
Hybrid
Full-time · Senior

Apply with RefersoAI Apply on careers page

A specialist role focused on pivoting data strategy from application-centric silos to a unified, data-centric ecosystem, leading the design and implementation of ontologies and semantic layers.

Responsibilities

Lead the design and implementation of ontologies and semantic layers
Own and define the metadata management strategy
Ensure data is discoverable, traceable, and governed
Act as a technical leader within the designated technical area
Drive the development of the technical area and anticipate future trends

Requirements

Degree in Computer Science, Engineering, or Physics field

Skills

Data-Centric Architecture Ontologies Semantic layers Metadata management RDF OWL SHACL SPARQL

Hoofd Domein Waarnemingen

KNMI · Posted Nov 10, 2026

Open

De Bilt, Utrecht, Netherlands
Hybrid
Full-time · Manager
€7K–€10K per month

Apply with RefersoAI Apply on careers page

Leidinggevende functie voor het beheer en de ontwikkeling van het nationale meetnetwerk en de data-infrastructuur van het KNMI.

Compensation

Maandsalaris €6.819,00 - €9.561,00

Responsibilities

Beheren en ontwikkelen van het meetnetwerk
Coördineren van nationale en internationale samenwerkingen
Verantwoordelijk voor de kwaliteit van empirische data
Leidinggeven aan een team van circa 60 professionals
Sturen op strategische autonomie en innovatie

Requirements

Master's degree

Skills

meteorology seismology atmospheric composition data infrastructure artificial intelligence machine learning sensor technology data analysis

Senior Associate, AI and Data Strategy Consultant

RSM US LLP · Posted Nov 5, 2026

Open

Chicago, Illinois, United States
Hybrid
Full-time · Senior
$89K–$168K per year
2–5 years

Apply with RefersoAI Apply on careers page

Lead AI and Data strategy consulting engagements, defining strategy, vision, use cases, and implementation plans for clients.

Compensation

Compensation Range: $88,900 - $168,300

Responsibilities

Execute solution delivery engagements through definition of AI and Data strategy and vision statements
Identify use cases, set future state capabilities and associated implementation efforts
Collaborate with consultants in other regions and practices

Requirements

Bachelor's degree or graduate degree with an emphasis in Math, Computer Science, Information Systems, or Business
Nice to have: Consulting experience
Nice to have: Azure AI Fundamentals (AI-901)
Nice to have: Azure Data Fundamentals (DP-900)
Nice to have: AWS Certified AI Practitioner (AIF-C01)

Skills

AI strategy Data strategy Data governance Data infrastructure Analytics

Senior Associate, AI and Data Strategy Consultant

RSM US LLP · Posted Nov 5, 2026

Open

Toronto, Canada
Hybrid
Full-time · Senior
$62K–$108K per year
2–5 years

Apply with RefersoAI Apply on careers page

Senior Associate in Data + AI Advisory team responsible for executing solution delivery engagements, defining AI and Data strategy, collaborating with consultants across regions, and building AI/Data strategies with implementation recommendations.

Compensation

Compensation Range: $62,000 - $107,500

Responsibilities

Executing solution delivery engagements through definition of AI and Data strategy and vision statements
Identifying use cases, setting future state capabilities and associated implementation efforts
Collaborating and working effectively with consultants in other regions and practices

Requirements

Bachelor's degree or graduate degree with an emphasis in Math, Computer Science, Information Systems, or Business
Nice to have: prior experience in a consulting environment
Nice to have: defining data & AI operating models
Nice to have: building data, analytic, data science, or AI solutions
Nice to have: working knowledge of data architecture

Skills

building AI and/or Data strategies implementation recommendations data governance concepts

Modeling & Simulation Machine Learning Engineer

Procter & Gamble · Posted Nov 8, 2026

Open

Hyderabad, Telangana, India
Full-time · Entry

Apply with RefersoAI Apply on careers page

Lead the application of modeling & simulation and machine learning to optimize high‑speed manufacturing processes and develop digital twins for virtual qualification and real‑time manufacturing.

Responsibilities

Apply M&S and ML concepts to develop and optimize high‑speed manufacturing processes
Develop digital twins for virtual qualification and real‑time manufacturing
Create fast surrogate models of complex engineering processes
Balance in‑house development with turnkey solutions and perform technical due diligence
Collaborate with cross‑functional R&D scientists and engineers

Requirements

Master’s or PhD in an engineering discipline
Advanced degree in computer science, statistics, applied mathematics or related quantitative field
Nice to have: Deep Learning
Nice to have: Optimization (global, local, stochastic)
Nice to have: Model Reduction

Skills

Python R C++GitHub Copilot big data analysis machine learning

Founding Engineer

True Talent Solutions Partners · Posted Nov 9, 2026

Open

San Francisco, California, United States
On-site
Full-time
$200K–$250K per year
0–3 years

Apply with RefersoAI Apply on careers page

Founding Engineer to build an advertising technology platform, focusing on recommendation systems and ad delivery infrastructure.

Compensation

Base salary is $200,000 to $250,000 annually, plus equity.

Responsibilities

Design and ship a low-latency ad ranking system
Build data pipelines and feature infrastructure for ongoing model training
Model user behavior and context using engagement history and conversational data
Develop efficient ad-serving infrastructure designed for sub-second latency
Build generative agents that create playable and video ad variants

Requirements

Nice to have: Recommendation systems
Nice to have: Advertising technology
Nice to have: Gaming interest
Nice to have: Playable ads

Skills

PyTorch ML systems AI systems Backend Data infrastructure Production serving

Modeling & Simulation Machine Learning Engineer

Procter & Gamble · Posted Nov 8, 2026

Open

Hyderabad, Telangana, India
Full-time · Entry

Apply with RefersoAI Apply on careers page

Lead the application of Modeling & Simulation and Machine Learning to develop Digital Twins and optimize high-speed manufacturing processes in the consumer goods industry.

Responsibilities

Apply M&S and ML concepts to develop and optimize high-speed manufacturing processes
Develop Digital Twins for virtual qualification and real-time manufacturing
Create fast surrogate models of complex engineering processes
Balance in-house development against turnkey solutions
Own build/buy recommendations and technical due diligence

Requirements

Master's or PhD in an engineering discipline
Advanced degrees in computer science, statistics, applied mathematics or related quantitative field
Nice to have: Deep Learning
Nice to have: Data Mining
Nice to have: Optimization

Skills

Python R C++GitHub Copilot big data analysis surrogate modeling

Data infrastructure jobs

Compensation

Responsibilities

Requirements

Skills

Benefits

Responsibilities

Requirements

Skills

Responsibilities

Requirements

Skills

Skills

Compensation

Responsibilities

Requirements

Skills

Compensation

Responsibilities

Requirements

Skills

Compensation

Responsibilities

Requirements

Skills

Responsibilities

Requirements

Skills

Compensation

Responsibilities

Requirements

Skills

Responsibilities

Requirements

Skills

Benefits

Benefits