Director of Operations
Offchain LabsFull Time
Expert & Leadership (9+ years), Senior (5 to 8 years)
Candidates should have over 7 years of experience in operational roles at fast-growing tech companies or management consulting, with a proven track record of driving company-wide initiatives. Experience in designing structured hiring processes, improving time-to-hire, building scalable people programs, developing company culture systems, vendor procurement, access management systems, and supporting legal/security compliance initiatives is required. The ideal candidate is strategic, hands-on, and experienced in creating scalable processes and operating rhythms.
The Head of Operations will own the execution engine by operationalizing cross-functional initiatives, building scalable systems, and ensuring the company runs efficiently. This role involves overseeing critical cross-functional projects from a program management perspective, building and running the OKR framework and operating cadence, and managing recruiting operations and the People Ops team to scale talent acquisition, build company culture, and create supportive growth systems. Additionally, the Head of Operations will manage legal and compliance initiatives and standards, and own vendor procurement and operational infrastructure projects.
Autonomous AI customer service platform for e-commerce
Siena AI offers an autonomous customer service platform tailored for the commerce sector, enabling businesses to implement AI-driven support with ease. The platform integrates with existing help desk systems, allowing merchants and brands in the e-commerce market to provide timely and accurate customer service. Siena's technology utilizes advanced models from OpenAI, delivering human-like responses and cognitive reasoning capabilities. The company operates on a subscription-based model, offering various service tiers that cater to different business needs, including features like smart routing and the Siena Copilot for human agents. A key differentiator for Siena is its commitment to data security; it does not train its models on client data, ensuring the protection of sensitive information. The goal of Siena AI is to enhance customer support efficiency and accuracy for e-commerce businesses while maintaining a strong focus on privacy.