Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 16 hours ago

Engineering Director, Infrastructure

Otter.ai24 open roles

Where
Mountain View, CA
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowEngineering Director, InfrastructureOtter.ai · Mountain View, CA

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Otter.ai's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

7.8% of postings close within 7 days. Measured by our own scanner across the market. Otter.ai postings stay open a median of 3 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.4%3 days
  3. 7.8%7 days
  4. 14.3%14 days
  5. 33.7%30 days
This job: posted 16 hours ago

Otter.ai median: 3 days open

The posting

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.
  • Familiarity with relevant application technologies such as Python, Django, FastAPI, and WebSockets.

About Otter.ai

We are in the business of shaping the future of work. Our mission is to make conversations more valuable.

With over 1B meetings transcribed, Otter.ai is the world’s leading tool for meeting transcription, summarization, and collaboration. Using artificial intelligence, Otter generates real-time automated meeting notes, summaries, and other insights from in-person and virtual meetings - turning meetings into accessible, collaborative, and actionable data that can be shared across teams and organizations. The company is backed by early investors in Google, DeepMind, Zoom, and Tesla.

Otter.ai is an equal opportunity employer. We proudly celebrate diversity and are dedicated to inclusivity.

*Otter.ai does not accept unsolicited resumes from 3rd party recruitment agencies without a written agreement in place for permanent placements. Any resume or other candidate information submitted outside of established candidate submission guidelines (including through our website or via email to any Otter.ai employee) and without a written agreement otherwise will be deemed to be our sole property, and no fee will be paid should we hire the candidate.

Salary range

Salary Range: $244,000 to $313,000 USD per year.

This salary range represents the low and high end of the estimated salary range for this position. The actual base salary offered for the role is dependent on several factors. Our base salary is just one component of a comprehensive total rewards package. #LI-Hybrid

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Otter.ai's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Otter.ai's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Otter.ai's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.