Jobs / United States / Otter AI INC
Engineering Director, Infrastructure
Otter AI INC · 🇺🇸 Mountain View, CA
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 30 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 1 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 Otter AI INC paid sponsored hires in similar roles2 certified filings for “Director of Engineering” (Computer and Information Systems Managers) in CA: $230k–$319k, median $275k. Most were filed at wage level I (50%) — 1 lottery entry, ≈15% 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 — Otter AI INC
The US Department of Labor certified 30 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 1 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 Otter AI INC →
About the role
About the Role Otter.ai is seeking a Director of Engineering, Infrastructure to lead the teams that power our products at scale. This leader will own our cloud infrastructure, CI/CD, DevOps, site reliability practices, and production operations. This is a hands-on, high-impact leadership role for someone who can set infrastructure strategy while going deep on critical technical and operational challenges. You will partner closely with Product, Product Engineering, AI/ML, Security, and Finance to deliver a platform that is reliable, scalable, secure, developer-friendly, and cost-efficient. Your Impact • Own the architecture and operation of cloud, compute, networking, database, production, and AI inference infrastructure. • Translate business and product plans into infrastructure roadmaps, capacity requirements, staffing plans, and investment decisions. • Ensure production infrastructure is reliable, scalable, secure, performant, and cost-efficient. • Establish infrastructure metrics, engineering standards, observability, and clear accountability, proactively surfacing risks and opportunities. • Improve developer velocity through automation, CI/CD, and self-service tooling. • Strengthen incident response, disaster recovery, and business continuity practices. • Partner with AI/ML teams to optimize inference performance, reliability, resource utilization, and cost. • Embed access control, compliance, and risk management into infrastructure architecture and operations. • Recruit, develop, and lead a high-performing infrastructure engineering organization as a technically credible player-coach. • Communicate infrastructure priorities, risks, investments, and tradeoffs clearly to the executive team, and partner with Engineering and Finance on cost and capacity decisions. What We’re Looking For • Bachelor’s degree or higher in Computer Science or a related technical field. • 10+ years of software development or engineering experience, including 4+ years of engineering management experience. • Significant experience leading infrastructure, DevOps, SRE, or platform teams responsible for production systems at scale. • Deep experience designing and operating highly available, fault-tolerant distributed systems. • Strong knowledge of AWS and cloud-native infrastructure, including Kubernetes/EKS, EC2, Auto Scaling Groups, load balancing, networking, storage, IAM, monitoring, and infrastructure-as-code technologies such as Terraform. • Deep understanding of MySQL operations, including performance, replication, clustering, backup, and disaster recovery. • Strong knowledge of asynchronous architectures, including message queues, worker systems, retries, idempotency, and failure recovery. • Experience building strong production reliability practices, including observability, incident management, on-call operations, disaster recovery, multi-region architectures, and zero-downtime migrations. • A track record of materially improving cloud efficiency and infrastructure unit economics without compromising reliability or performance. • Experience operating latency-sensitive, high-throughput AI inference workloads in production; GPU inference optimization experience is a plus. • Experience scaling infrastructure to support rapid product and customer growth, including both self-serve products and enterprise customers with demanding security, reliability, and compliance requirements. • Ability to move effectively between architecture, operational data, financial analysis, organizational design, and executive communication, with strong cross-functional influence. • Ability to use AI-assisted engineering and operational tools to improve team productivity, incident response, diagnostics, and infrastructure management. • Familiarit