Manager, Software Development, Alexa Artificial Intelligence

Amazon Jobs; Torino; In loco; EUR 70.000 - 100.000; Tempo pieno

Descrizione del lavoro

A leading tech company in Turin is seeking a talented Software Development Manager (SDM) to address innovative challenges in language solutions and machine learning. Your role will encompass building scalable applications, managing a team of engineers, and influencing strategic decisions. The ideal candidate will have extensive experience in engineering, strong leadership skills, and a background in AWS and natural language processing.

Competenze

• 7+ years of experience working directly with engineering teams.
• 3+ years of people management experience, managing engineers.
• Experience delivering software projects successfully.

Mansioni

• Hire and develop the best team of engineers.
• Set vision and create product roadmaps for your team.
• Drive continual improvements in team processes.

Conoscenze

People management

Agile / Scrum methodologies

Collaboration with product teams

Natural language processing

Communication skills

Strumenti

Amazon Web Services (AWS)

Descrizione del lavoro

Overview

Interested in Amazon Alexa, Machine Learning and Artificial Intelligence? We’re building the speech and language solutions behind Amazon Alexa and other Amazon products and services. Come join us! The Alexa AI Natural Language Understanding team in Italy is seeking a talented, self‑directed Software Development Manager (SDM) to tackle some of the most interesting problems on the leading edge of language solutions and machine learning. The SDM will help us pioneer new machine learning tools and processes through an iterative research and development cycle. You will build scalable, self‑serve applications for use across the Alexa AI organization. You will have significant influence on our overall strategy as you work with a small team of subject matter experts and engineers to define features, system architecture, and best practices.

Key Job Responsibilities

• Hire and develop the best. You will help grow and develop a team of engineers, growing their careers and empowering them to achieve amazing things.
• Set a vision for your team and create product roadmaps. Help your team identify technical and product requirements and opportunities.
• Use project management and prioritization skills to balance long and short‑term goals and deliver on your product roadmap.
• Keep your technical skills current to contribute to architecture and design discussions and lead your team to evolve and scale our service architecture.
• Drive continual improvements: set and iteratively improve team processes and mechanisms to make sure the right things get prioritized and work gets done efficiently.

A Day in the Life

A mix of helping the team architect our systems for massive scale, drive efficiency in our software development processes, career coaching and mentorship, collaborating with sister teams, and interviewing.

About the Team

The team is based in Turin (IT), while peer teams are in Bangalore (IN) and Boston (US). Turin, in its inner metropolitan area of 1.7 million people, has world‑class automotive, automation, aerospace, and banking companies. Housing cost is low and the region offers recreational opportunities ranging from opera to the Italian Riviera, the wine area of Barolo, and mountain sport in the Olympic Mountains.

Qualifications

• 7+ years of experience working directly with engineering teams
• Experience in partnering with product and program management teams
• 3+ years of people management experience, managing engineers
• Experience building highly‑scalable distributed systems
• Experience delivering software projects using Agile / Scrum methodologies
• A strong track record of project delivery for large, cross‑functional projects
• Track record of bringing in and growing engineering talent
• Experience operating large software systems
• Excellent written and verbal communication skills with the ability to present complex technical information in a clear and concise manner to a variety of audiences
• Experience working on natural language processing or machine learning based systems
• Experience designing, developing, and deploying scalable solutions using Amazon Web Services (AWS)

Equal Opportunity Employer

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Accommodation

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