Technical Operations Engineer

Reposted 2 Months Ago
3 Locations
In-Office
130K-170K Annually
Senior level
Marketing Tech
The Role
The Technology Operations Engineer will ensure the reliability, security, and scalability of IT infrastructure, focusing on automation, incident response, and cross-functional collaboration to support engineering teams in a fast-paced environment.
Summary Generated by Built In

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.

We are hiring a Technical Operations Engineer to own the reliability, security, and scalability of our identity, endpoint, and IT infrastructure systems. You will work directly with our Engineering and Operations team to transform reactive IT support into proactive, automated systems that scale with our rapid growth.

This role is ideal for someone who sees IT operations as a strategic enabler of engineering velocity rather than just a support function. You will be based in our Union Square office, collaborating closely with colleagues in person and remotely across San Francisco, London, and Buenos Aires.

What you’ll do
  • Triage and resolve technical issues with a focus on automation and continuous improvement

  • Manage and troubleshoot macOS devices and development environments at scale

  • Trace root causes across complex, multi-system failures, including Google Workspace, MDM, and AWS

  • Build runbooks, troubleshooting guides, and documentation that elevate team capabilities

  • Identify patterns in recurring issues and implement systematic fixes

  • Analyze downstream impacts before making changes and understand the blast radius of identity and access management decisions

  • Lead projects that address operational pain points such as device provisioning, access control, and compliance automation

  • Design self-service solutions that empower engineers to move faster

  • Translate technical issues for stakeholders across Engineering, People Ops, and Finance

  • Partner with security to implement and maintain compliance controls

  • Support rapid hiring by streamlining onboarding and provisioning processes

  • Mentor future IT team members on troubleshooting methodology and systems thinking

Who you are
  • 2 or more years of experience in IT operations or technical support, ideally supporting engineering teams in high-growth SaaS or AI companies

  • Systems thinker who naturally traces dependencies and asks why something broke, not just how to fix it

  • Strong incident management skills including triage, root-cause analysis, and pattern recognition

  • Experience with identity management, single sign-on, and access control with Okta

  • Clear communicator who can explain complex technical issues to both engineers and non-technical stakeholders

  • Self-directed with strong judgment on when to escalate versus resolve independently

  • Expert troubleshooting across the Apple ecosystem, including MDM tools such as Mosyle

  • Advanced Google Workspace administration, including SAML or OIDC, lifecycle automation, and SCIM

  • Multi-cloud support experience with AWS as primary and familiarity with GCP or Azure

  • Network troubleshooting experience including DNS, VPNs, and routing

  • Scripting and automation skills using Python, TypeScript, or Bash for repetitive tasks and integrations

  • Experience with infrastructure as code and configuration management

  • Strong technical judgment and good taste across both software and hardware

  • Motivated by building the operational foundation for a company defining a new category

  • Comfortable with autonomy as an early technical operations hire and excited to shape how systems scale

Location

This is an on-site role based in our NYC, San Francisco, BA office, designed for builders who thrive on speed, iteration, and meaningful impact.

For our NYC or San Francisco office, the expected base salary range is $130,000 to $170,000. Comp can 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.

Skills Required

  • 5+ years in IT Operations or Technical Support
  • Strong incident management skills
  • Expert troubleshooting across the Apple ecosystem
  • Advanced Google Workspace administration
  • Multi-cloud support experience
  • Scripting and automation for repetitive tasks
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: New York, NY

What We Do

Hundreds of millions of consumers are now using AI Search like ChatGPT or Perplexity to discover brands and products. Profound has developed the first analytics platform to help enterprise brands understand and improve how they show up in AI Search.

Similar Jobs

Vercel Logo Vercel

Machine Learning Engineer

Artificial Intelligence • Cloud • Software
Easy Apply
Hybrid
2 Locations
208K-312K Annually

Applied Systems Logo Applied Systems

Operations Specialist

Artificial Intelligence • Cloud • Payments • Software • Business Intelligence • Generative AI • Automation
Remote or Hybrid
United States
3116 Employees
80K-100K Annually

Applied Systems Logo Applied Systems

User Experience Designer

Artificial Intelligence • Cloud • Payments • Software • Business Intelligence • Generative AI • Automation
Remote or Hybrid
4 Locations
3116 Employees
100K-140K Annually

PwC Logo PwC

Artificial Intelligence Engineer

Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Hybrid
61 Locations
370000 Employees
151K-187K Annually

Similar Companies Hiring

MFour Data Research Thumbnail
Marketing Tech • Software
Irvine, CA
98 Employees
Golden Pet Brands Thumbnail
Digital Media • eCommerce • Information Technology • Marketing Tech • Pet • Retail • Social Media
El Segundo, California
178 Employees
Blee Thumbnail
Artificial Intelligence • Marketing Tech • Software
New York, New York
30 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account