Datawizz · 3 months ago
Office Manager/Ops Generalist
Datawizz helps companies reduce LLM costs while improving accuracy through innovative AI solutions. The Office Manager/Ops Generalist will be responsible for overseeing daily operations, managing office facilities, coordinating people operations workflows, and supporting finance and administration tasks.
Artificial Intelligence (AI)FinanceHealth Care
Responsibilities
Own the office & facilities: set up and maintain the workspace, manage vendors (IT, cleaning, snacks, security/badges, supplies), and keep everything running smoothly
Run people ops workflows: coordinate onboarding/offboarding (I-9/paperwork, accounts, equipment), benefits and payroll changes in our HRIS, and maintain company policies and handbooks
Recruiting coordination: partner with hiring managers, wrangle interview scheduling (via Ashby/Calendar) and handle candidate logistics
Finance & admin support: manage invoices/expenses, corporate cards and receipts, basic purchasing, and help with budget tracking and procurement
Culture & events: plan team events, welcome guests/candidates, and be the friendly face of the office
Special projects: jump in wherever needed!
Qualification
Required
3–6+ years in office management / operations roles at a startup or similarly fast-paced environment
Operational swiss-army-knife: you can spin up a process, document it, and improve it after the first week of usage
Crisp communicator & concierge mindset: warm, resourceful, and unflappable with founders, candidates, and vendors
Tech fluent: comfortable with Google Workspace, Slack, Notion, calendaring; bonus points for HRIS/ATS (e.g., Ashby) and light IT troubleshooting
Detail-obsessed & trustworthy: you handle sensitive info with discretion; your checklists catch what others miss
Roll-up-your-sleeves attitude: happy to move furniture in the morning and prep a board packet in the afternoon
Benefits
Meaningful equity
Opportunity to be a founding member of a growing company
Company
Datawizz
Datawizz accelerates the transition to specialized language models - from data collection & decomposition, SFT/RFT, model deployment, evaluation and run-time observability.
Funding
Current Stage
Early StageTotal Funding
$15.5MKey Investors
Human Capital
2025-09-28Seed· $12.5M
2025-06-02Seed· $3M
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