Engineering Manager - Language Capabilities (f/m/d)*

Parloa • Full-time • Berlin Office • 4d ago

YOUR MISSION:

As Engineering Manager for a Language Capabilities team (f/m/d)*, you will empower and lead a team of experienced data scientists, machine learning, and backend engineers to design and develop a platform to fine-tune and orchestrate speech model and processing services and expand our tech capabilities to a broad set of languages. You will lead a data science experimentation process to improve these models. The team will operate machine learning components critical to Parloa’s success. You will set a high bar for engineering excellence and support your reports, supporting their growth and motivating them to solve complex challenges as a team. Your team will make an impact in transforming the entire customer service industry with data and AI.

IN THIS ROLE YOU WILL:

Grow and lead a team of 5-7 machine learning engineers, backend engineers, and data scientists, fostering a culture of collaboration and technical excellence.
Empower your team to take ownership of critical Speech-to-text and Text-to-speech models and to develop a scalable approach for customizing speech models to customer-specific requirements in a broad range of languages
Take ownership of speech services, such as acoustic echo cancellation, voice activity detection, and Language detection
Deliver services for orchestrating ML models that are critical for Parloa’s platform
Work with product management to ensure your team’s work aligns with company strategy and customer needs
Develop your team via effective coaching and by providing them with growth opportunities

Our Data Tech stack:

Microsoft Azure, Python, Kubernetes, Terraform, Docker, Databricks, OpenAI, MongoDB, Redis

WHAT YOU BRING TO THE TABLE:

7+ years of experience as a backend engineer/machine learning engineer and/or data scientist
3+ years of experience leading science or data science projects
3+ years of experience as a people manager
Experience in leading engineering teams that own production services
Experience with developing and maintaining real-time machine learning products end-to-end: translating product requirements into technical requirements, data gathering/transformation and exploration, model productionization, maintenance, monitoring, optimization
Experience establishing best practices in engineering and machine learning excellence (security, scalability, availability, etc.)
Experience in leading large and complex machine learning projects (1 year+ roadmap)
Strong interpersonal skills and excellent spoken and written communication skills in English

NICE TO HAVE:

Experience working with voice data or NLP is a plus

WHAT'S IN IT FOR YOU?

Join a diverse team of 40+ nationalities with flat hierarchies and a collaborative company culture.
Opportunity to build and scale your career at the intersection of customer-facing roles and engineering in a dynamic startup on its journey to become an international leader in SaaS platforms for Conversational AI.
Competitive compensation and equity package.
Flexible working hours, 28 vacation days and workation opportunities.
Access to a training and development budget for continuous professional growth.
Deutschland ticket, Urban Sports Club, Job Rad, Nilo Health, weekly sponsored office lunches.
Regular team events, game nights, and other social activities.
Work from a home and/or our beautiful office(s) in the heart of Berlin or Munich with adjustable desks, social areas, fresh fruits, cereals, and drinks.