AI Operations Manager (Technical)
About The Position
SuperAnnotate is a fast-growing, Series B startup revolutionizing the field of AI-data Infrastructure. We specialize in providing cutting-edge data pipeline solutions for Machine Learning, LLM, and GenAI solutions to large enterprise clients, helping them leverage the power of AI to transform their businesses. SuperAnnotate has a fully customizable platform for building annotation tools and workflows that AI projects demandâwhile unifying the management of all teams, vendors, and data in one place. Weâre very proud to have products that are loved by our customers, resulting in us being listed as the highest-ranked platform on G2. As our AI Operations Manager, youâll be at the heart of executing complex coding projects that power next-generation LLM and GenAI solutions for enterprise clients. This isnât just about writing code, itâs about designing coding data roadmaps, applying your technical expertise to large-scale initiatives, and leading the operational delivery of projects with 100+ global coder contractors. Youâll ensure these projects meet the highest standards of quality, speed, and innovation while directly shaping how enterprise AI projects are brought to life at scale. This is a full-time, hybrid position based in San Francisco.
Requirements
- Strong coding expertise in one or more popular languages (Python, Java, C++, JavaScript), with the ability to reason about unfamiliar codebases and spot issues without execution.
- Track record of leading complex technical projects from planning through delivery, balancing quality, timelines, and client needs.
- Skill in breaking down ambiguous requirements into clear, reproducible examples, test plans, and edge-case scenarios that guide team execution.
- Solid grounding in software development best practices including version control (Git), testing, debugging, and code review.
- Understanding of LLMs, AI technologies, and the GenAI landscape, with the ability to apply insights to project design and delivery.
- Fluency in spoken and written English, with the ability to collaborate across time zones and communicate technical decisions to diverse stakeholders.
- Calm, detail-focused problem solver with strong analytical skills, able to make thoughtful, decisive calls in fast-moving scenarios while maintaining high standards of ethics and quality.
Nice To Haves
- Experience managing distributed or contractor-heavy coding teams at scale, with the communication and leadership skills to align contributors toward shared goals.
Responsibilities
- Lead execution of complex coding projects for enterprise clients, translating requirements into clear plans and deliverables.
- Own operational KPIs for quality, throughput, timelines.
- Manage and mentor large, distributed coding teams, fostering accountability, continuous learning, and a high-performance culture.
- Oversee code quality through regular reviews, identifying improvements and ensuring best practices are followed
- Define and enforce QA protocols
- Unblock projects in real time, making decisive trade-offs on scope, resources, and risk during standups and client discussions.
- Collaborate cross-functionally with product, engineering, and client stakeholders.
- Drive innovation in project execution, improving processes, contractor management, and delivery methodologies over time.
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What This Job Offers
Job Type
Full-time
Career Level
Manager
Education Level
No Education Listed
Number of Employees
101-250 employees
