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Manage facilities and employee operations for a fast-paced Bay Area startup: coordinate vendors, maintain office tech and security, optimize space, handle onboarding/offboarding, records and compliance, assist travel/expenses, and organize team events to ensure a welcoming, efficient workplace.
Inception creates the world’s fastest, most efficient AI models. Our Mercury model is the world’s fastest reasoning LLM and first commercially available diffusion LLM, delivering 5x greater speed and efficiency than today’s LLMs, with best-in-class quality.
We are the AI researchers and engineers behind such breakthrough AI technologies as diffusion models, flash attention, and DPO.
We seek a versatile, detail-oriented Operations and Workplace Coordinator. This role combines facilities management with people operations, making you the backbone of our daily operations and employee experience. You'll be responsible for creating and maintaining an efficient, welcoming workplace while supporting our team's growth.
Note: This is an onsite position. We work four days a week out of our Bay Area office.
Key Responsibilities
Facilities Management
- Coordinate with vendors for office services (cleaning, maintenance, catering)
- Monitor and troubleshoot basic technology issues (internet, printers, conference room equipment)
- Manage office layout and space optimization as the team grows
- Ensure office security protocols are followed
Employee Operations
- Manage employee onboarding and offboarding processes
- Maintain employee records and ensure compliance with employment laws
- Assist with travel arrangements and expense management
- Organize regular team social events
Required Qualifications
- 3+ years of experience in office management
- Strong organizational and multitasking abilities
- Excellent communication and interpersonal skills
- Problem-solving mindset with attention to detail
- Ability to work independently in a fast-paced startup environment
Preferred Qualifications
- Experience in a startup or small business environment
- IT knowledge (printers, conferencing equipment, wifi)
- Vendor management experience
- Event planning or coordination experience
- Knowledge of employment laws and HR compliance requirements
The annual base salary range for this role is $70,000 – $110,000 USD. Final compensation is determined based on experience, skills, and qualifications. Equity and benefits are included in the total package.
Why Join Inception
- Work with World-Class Talent: Collaborate with the inventors of diffusion models and leading AI researchers
- Shape Foundational Technology: Your decisions will influence how the next generation of AI products are built and used
- Immediate Impact: Join at the ground floor where your contributions directly shape product direction and company trajectory
Perks & Benefits
- Competitive salary and equity in a rapidly growing startup
- Flexible vacation and paid time off (PTO)
- Health, dental, and vision insurance
- 401k match
- Catered meals (breakfast, lunch, & dinner)
- Commuter subsidies
- A collaborative and inclusive culture
About Us
Inception creates the world’s fastest, most efficient AI models. Today’s autoregressive LLMs generate tokens sequentially, which makes them painfully slow and expensive. Inception’s diffusion-based LLMs (dLLMs) generate answers in parallel. They are 5x faster and more efficient, while delivering best-in-class quality.
Inception was co-founded by Stanford professor Stefano Ermon, who co-invented such breakthrough AI technologies as diffusion models, flash attention, and DPO, UCLA professor Aditya Grover, who co-invented node2vec, decision transformers, and d1 reasoning, and Cornell professor and Afresh co-founder Volodymyr Kuleshov, who co-invented MDLM and Block Diffusion.
We pioneered the application of diffusion to language, with world’s first (and only) commercially available dLLM, Mercury. We are currently deploying our large-scale diffusion LLMs at Fortune 500 companies. Diffusion is the technology behind today’s image and video AI, and we’re making it the standard for LLMs as well.
Our team includes engineers from AWS, Google DeepMind, Meta AI, Microsoft, HashiCorp, and OpenAI. Based in Palo Alto, CA, we are backed by top-tier venture capitalists, including Menlo Ventures, Mayfield, M12 (Microsoft’s venture fund), Snowflake Ventures, Databricks, and Innovation Endeavors, and by tech luminaries such as Andrew Ng, Andrej Karpathy, and Eric Schmidt.
If you are talented, innovative, and ambitious, come help us invent the future of AI.
We are an equal opportunity employer and encourage candidates of all backgrounds to apply.
What you need to know about the Montreal Tech Scene
With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.
Key Facts About Montreal Tech
- Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
- Major Tech Employers: SAP, Google, Microsoft, Cisco
- Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
- Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
- Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
- Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal
