TL;DR

Analyst, AI Operations (AI): Shaping, improving, and scaling intelligent systems that will redefine how the business operates with an accent on business insights, product, and operations. Focus on rapidly experimenting with and implementing enhancements while ensuring AI agents are launched smoothly and adopted successfully across the globe.

Location: Berlin, Germany

Company

%hirify_global% is the world’s pioneering local delivery platform, operating in over 70 countries worldwide.

What you will do

Analyze agent performance and user feedback to identify opportunities for immediate improvement.
Design and execute rapid experiments to enhance agent behavior through prompt engineering and adjustments to the agent’s knowledge base.
Manage and curate the content and data that fuel the agent’s responses, ensuring its knowledge is accurate, relevant, and effective.
Support the go-to-market (GTM) strategy for new AI agent features, from planning and coordination to launch and post-launch monitoring.
Collaborate with Product, Engineering, Data Science, and local teams to ensure a smooth rollout of new capabilities.
Gather and synthesize feedback from markets and users to uncover friction points and inform the product improvement cycle.

Requirements

1-2 years of experience in a strategic role in a fast-paced environment such as a startup, scale-up, VC, or strategy consulting.
Exceptional problem-solving skills, with an ability to break down complex issues, form hypotheses, and test solutions quickly.
An execution-focused mindset with a proactive attitude and comfort navigating unstructured projects.
Comfortable with both understanding business needs and engaging with technical concepts.
Strong communication and collaboration skills, with the ability to align and work effectively with diverse stakeholders.
Good commercial sense and an ability to understand how product features create value for users and the business.
A genuine curiosity and passion for Artificial Intelligence and its practical applications.

Nice to have

Experience with data query languages (like SQL) and programming languages such as Python.
Experience working with product or data teams.

Culture & Benefits

Diversity and inclusion are key to creating an exciting product, customer, and employee experience.
Do not discriminate on the basis of racial identities, religious beliefs, color, national origin, gender identities or expressions, sexual orientations, age, marital or disability statuses.
Severely disabled applicants with equal qualifications will be given preferential consideration.