Office Operations Manager
Job description
About the role
The office operations team maintains the day-to-day environment so the SF office runs without disruption. This role orients new hires and supports consistent experiences as the company expands. The position coordinates vendors and events so the workplace supports high-speed execution.
Data roles turn raw information into decisions. Analysts query databases and build dashboards. Data scientists build models that predict outcomes. Data engineers build the pipelines that move and store data. All three work closely with business teams and need a mix of statistics, coding, and communication. Nearly every modern company runs on data teams, from startups to banks. A strong portfolio of past analyses matters more than degrees in many hiring decisions.
Key facts
What you'll do
Cleaning, maintenance, security, access, and supplies are managed to keep the office consistently ready.
Vendors and service providers such as building, IT, cleaning, catering, and deliveries are coordinated to meet operational needs.
The office is organized and functional so teams can focus on execution and deliver high-quality work.
Onboarding touchpoints like welcome breakfasts and first-week moments are handled to help new hires orient quickly.
In-office questions, issues, and daily needs are addressed by the default point person to maintain workflow.
The office experience is maintained across SF, NYC, London, and Buenos Aires as the company scales and grows.
Requirements
A Bachelor's degree is required for this role.
0-3+ years of experience in office management, operations, hospitality, events, or a service-oriented role is expected.
High organization and reliability ensure operations run smoothly and issues are noticed early.
Coordination with vendors, logistics handling, and management of multiple priorities are performed comfortably.
People-oriented communication skills allow teammates to approach the role owner for help naturally.
Low ego and high ownership drive the execution of unglamorous work without delay.
Thriving in a fast-growing startup environment where processes are built in real time is necessary.
Practical notes
Final compensation, equity, and benefits details are determined during the interview process and may vary by location.
Typical interview steps
Data interviews commonly include a SQL or coding exercise, a statistics question, and a case study. Candidates may be asked to design a metric, interpret an experiment, or build a small model. Some companies give a take-home analysis. Expect questions about past projects and the business impact of your work. Interviewers often evaluate how you communicate uncertainty and business impact, not only the math. Bringing a clean write-up of a past analysis to the interview is well received.
Good to know
The company has experienced rapid growth, moving from zero to a billion-dollar valuation in 18 months with significant revenue increases.
Bank, Ramp, MongoDB, and Figma.
Questions to ask
Good questions to ask the employer in the interview: what does success look like in the first six months, how is the team structured, what is the current biggest challenge, and how are decisions made. Asking about growth paths and the review process is also well received. Employers expect questions, and good ones show preparation.
Career growth
Data careers grow toward senior analyst, staff data scientist, or data engineering lead. Many professionals specialize in machine learning, analytics, or infrastructure. Cross-functional work with product and engineering teams becomes more important at senior levels. The field changes quickly, so continuous learning is part of the job. Professionals who can translate numbers into decisions tend to advance fastest.
About the company
Profound is on a mission to help companies understand and control their AI presence. As a Frontend Engineer, you will play a key role in shaping high-performance, visually stunning React applications that power the future of AI-driven marketing experiences.