HANCE

Benefits:

• A chance to grow within a leading, fast-moving AI company

• A part of the leadership team

• A competitive compensation package with equity shares

• A diverse and friendly environment

• Social and company events

Education Requirements:

• Bachelor’s degree in Business, Marketing, or a related field is a plus

Experience Requirements:

• 5+ years experience in B2B sales/commercial leadership

• Ambitious with a proven track record in sales, contract negotiations and commercialization through analysis, collaboration and communication

• Persistancy to make things happen within tight deadlines

• Strong leadership skills with experience in building and managing commercial teams in a fast changing environment

• Experience with tools like HubSpot, LinkedIn Sales Navigator, and AI sales tools

Other Requirements:

• Excellent communication, negotiation, and presentation skills with the ability to transform complex business challenges into opportunities and present effectively to all layers of the organization

• Energized by a performance, fast-paced and dynamic environment

• Willingness to travel for client meetings and industry events

• Experience in AI, audio, video or communication products and services is a plus

• Experience within consumer electronics, digital radio communications, music technology, defense or security is a plus

• Experience working in startups or scaleups is a plus

Responsibilities:

• Develop and execute a comprehensive go-to-market strategy to effectively introduce and promote HANCE’s products in various markets

• Providing decisive leadership and guidance to the commercial team, nurturing a culture of excellence, and optimizing revenue-generating opportunities

• Develop strong relationships with key customers and partners with top-tier clients (mid-large global tech companies)

• Lead negotiations for major customer contracts and strategic partnerships

• Set clear commercial targets and objectives, and monitor team performance

Benefits:

• A chance to grow within a leading, fast-moving AI company

• A competitive compensation package with equity shares

• A diverse and friendly environment

• Social and company events

• Startup offices in central Oslo

Education Requirements:

• Master's degree or higher in Electrical Engineering, Computer Science, or a related field

Experience Requirements:

• Hands-on experience with (audio) signal processing

• 2+ years of industry experience in applying machine learning to real-world problems

• Experience using development using software engineering best practices, including code reviews, continuous integration, and tooling for development environments

• MLOps experience. E.g., scaling training in cloud environments, model versioning, and model performance profiling

Other Requirements:

• Excellent problem-solving and communication skills

Responsibilities:

• Develop and optimize machine learning algorithms for real-time audio enhancement

• Research improvements in machine learning models for audio

• Build, administer, and scale ML processing pipelines

• We believe in end-to-end ownership; this role will involve taking ML models from development to production at scale

Benefits:

• A chance to grow within a leading, fast-moving AI company

• A competitive compensation package with equity shares

• A diverse and friendly environment

• Social and company events

• Startup offices in central Oslo

Education Requirements:

• Master’s Degree in Computer Science or a related field, or equivalent professional experience

Experience Requirements:

• At least 5 years of professional experience in C++ development, with a strong emphasis on cross-platform development

• In-depth theoretical and practical knowledge of digital signal processing and machine learning, with hands-on experience in real-time audio processing

• Proficient in Git for version control and experienced in unit testing methodologies

• Demonstrated ability to work effectively as part of a collaborative development team

Other Requirements:

• Professional-level proficiency in English, both written and spoken

Responsibilities:

• Design, develop, and maintain the HANCE model inference library, a cross-platform C++ solution tailored for real-time audio processing applications

• Optimize the model inference library to ensure high performance across various platforms, considering platform-specific constraints and requirements

• Work closely with machine learning engineers to integrate advancements and implement the latest changes from prototype models trained in PyTorch and Python

• Write and execute unit tests to validate and ensure the reliability of the code, adhering to best practices in software development

• Participate in team meetings, contribute to design discussions, and provide technical guidance to other team members