Summary
✨ AI‑Generated
A rapidly growing AI technology company is hiring an Infrastructure Engineer to build and scale the systems behind its expanding platform. You will improve availability, optimize infrastructure costs, and support demanding traffic and compute workloads. The role offers an opportunity to solve complex scaling challenges in a fast-moving engineering environment.
Highlights
Help scale infrastructure for a rapidly growing AI-focused technology business. Work on high-availability, cost-effective systems that support substantial traffic and computing demands while contributing to important engineering decisions.
Description
Profound is the fastest-growing AI marketing platform, used by 15% of the Fortune 500 including Comcast, Estée Lauder, and Walmart, and innovators like Ramp, MongoDB, and Figma.
It is where marketing teams do the work: research, briefs, content, campaigns, reporting, all in one place, alongside agents that carry the load with them.
Built on 2B+ real user prompts and growing, Profound’s data shows you what people ask AI and what the models say back.
Profound's AI Marketer joins that data with deep context about our customers to find the opportunities worth acting on, and then puts agents to work: automating reporting, drafting content, auditing pages for readability, running competitive research.
It measures what works and gets better every day.
As an Infrastructure Engineer, you will build and scale the systems that power our rapid growth.
You will ensure our infrastructure is highly available, cost-effective, and able to handle explosive traffic and compute demands.
You will work closely with engineers across product, research, and operations to design scalable architectures, streamline deployments, and improve observability.
What you’ll do
Design and maintain core infrastructure across cloud environmentsBuild infrastructure-as-code workflows to automate deployments and scalingImprove monitoring, logging, and alerting systems to maintain reliabilityManage CI/CD pipelines to ensure seamless deploymentsSupport disaster recovery planning and ensure high availability of systemsPartner with product and research teams to design architectures that scale with workload demandsIdentify and fix performance bottlenecks in compute, storage, and networkingImplement security best practices and compliance frameworks across infrastructure
Who you are
Strong experience with cloud platforms, with AWS preferredProficiency with infrastructure-as-code tools such as TerraformDeep experience with containers and orchestration, including Docker and KubernetesSolid understanding of distributed architecturesProgramming proficiency in Python and Rust, or willingness to learn Rust quicklyProven ability to ship reliable infrastructure in production environmentsGrowth mindset and eagerness to thrive in a hyper-growth, high-ownership environmentExperience with high-throughput, low-latency systemsDatabase scaling and optimization experienceObservability and monitoring expertiseNetwork architecture and performance tuning experienceSecurity and compliance experience
Location
This is an on-site role based in our NYC or SF office, designed for builders who thrive on speed, iteration, and meaningful impact.
We are happy to support visa sponsorship for qualified international candidates.
For this role, the expected base salary range is $175,000 to $260,000 (NYC and SF).
Comp may vary by location.
Profound’s total compensation package is designed to be competitive and includes base salary, equity, and a full range of benefits and perks.
Final compensation will depend on factors such as your skills, experience, qualifications, and location, and will be determined during the interview process.
Our recruiting team will share more details about the full compensation package and benefits as you move through hiring.
Note: All official communication from Profound will come from a @tryprofound.com email address.
If you're contacted by anyone using a different domain, please disregard and report it as spam.
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New York, NY San Francisco, CA
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