Jobs / United States / Adobe INC
Sr. Director, AI, Data Science & Engineering
Adobe INC · 🇺🇸 San Jose
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 1,036 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 221 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Adobe INC paid sponsored hires in similar roles1 certified filing for “Data Science Engineer” (Data Scientists) in CO: $153k–$153k, median $153k. Most were filed at wage level III (100%) — 3 lottery entries, ≈46% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Adobe INC
The US Department of Labor certified 1,036 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 221 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Adobe INC →
About the role
The Opportunity We are seeking a Senior Director of AI, Data Science & Engineering to lead the technical organization responsible for building the next generation of AI-powered fraud, abuse, Trust & Safety, and consumer protection capabilities. This leader will oversee AI Engineering, Data Science and Machine Learning, and Data Engineering, with responsibility for taking complex trust and risk problems from concept through production. This is an AI-first leadership role requiring deep AI/ML expertise, strong engineering judgment, and the ability to build and scale multidisciplinary technical teams. This is not a traditional analytics or data science leadership role. We are looking for a technical leader who can connect AI, machine learning, data, and engineering into scalable systems and lead the organization responsible for building them. The Senior Director will define the technical strategy for applying AI across Consumer Trust, with a focus on agentic systems, machine learning, graph intelligence, anomaly detection, behavioral modeling, automation, and real-time risk decisioning. The role will also partner closely with Platform Risk and engineering teams responsible for capabilities such as browser and device fingerprinting, identity graph, bot detection, telemetry, risk signals, and shared decisioning infrastructure. A key responsibility will be connecting these capabilities with AI, ML, and data to create integrated end-to-end protection systems. What you will do • Lead AI Engineering, Data Science/Machine Learning, and Data Engineering across Consumer Trust. • Define and execute the AI and ML technical strategy for fraud, abuse, Trust & Safety, and consumer protection. • Own end-to-end development of AI and ML capabilities from experimentation and modeling through engineering, deployment, monitoring, and production operation. • Drive development of agentic AI, graph intelligence, anomaly detection, behavioral models, and real-time decisioning capabilities. • Build the data, feature, evaluation, and ML infrastructure required to operate AI systems at scale. • Partner with Platform Risk and engineering teams on identity graph, browser and device fingerprinting, bot detection, telemetry, and shared risk platforms. • Bring together platform signals, identity intelligence, AI, ML, and data into cohesive detection and decisioning systems. • Establish strong engineering standards for AI systems, including evaluation, reliability, observability, scalability, and responsible AI. • Recruit, develop, and lead strong AI, ML, data science, data engineering, and technical leadership talent. • Translate technical investments into measurable improvements in fraud prevention, consumer protection, operational efficiency, and business outcomes. What you will bring • Significant experience building and deploying AI and machine learning systems in production at scale. • Strong technical background in modern AI/ML, including generative AI, large language models, agentic systems, model evaluation, and traditional machine learning. • Demonstrated experience leading multidisciplinary organizations across AI/ML, data science, and data engineering. • Strong production engineering and systems architecture experience, with the ability to take AI capabilities from prototype through production. • Experience with large-scale data platforms, telemetry, real-time systems, feature pipelines, and ML infrastructure. • Strong understanding of distributed systems and the engineering requirements associated with high-volume, low-latency decisioning. • Ability to engage deeply with principal engineers, AI/ML engineers, data scientists, data engineers, and architects on technical strategy and design. • Strong executive communication skills and