Search the 6 jobs at Peak

The Product Designer will research, design, and create experiences for AI products at Peak. Responsibilities include understanding customer needs, collaborating with cross-functional teams, maintaining design standards, and contributing to product quality. This role emphasizes customer empathy and innovative design solutions in a SaaS environment.

The Data Scientist will work closely with customers to apply data science and machine learning to solve commercial problems, build predictive models, analyze data, and enhance business understanding. The role requires effective communication with technical and non-technical stakeholders to ensure customer satisfaction and product performance.

As a Software Engineer at Peak, you will build the Peak platform for AI solutions, collaborate with teams, write and test code, and support client onboarding. Your responsibilities include keeping up-to-date with technologies and mentoring others while contributing to high-quality software development.

Join the Sales Development talent pool at Peak to receive notifications on live vacancies and connect with the Sales Talent Manager. Responsibilities include prospecting potential clients, developing strategies to reach target prospects, and collaborating with sales and marketing teams. Values at Peak include being open, responsible, driven, curious, and smart. Inclusion and diversity are emphasized in the company culture.

As a Customer Success Manager at Peak, you'll onboard customers and manage their ongoing relationships, ensuring satisfaction with Peak's AI products and services. You'll collaborate with technical teams to create successful onboarding plans, communicate insights effectively, and resolve customer issues while striving to enhance their overall experience.

As a Support Engineer at Peak, you will provide high-quality technical support for the Peak platform, addressing customer queries, troubleshooting issues, and ensuring the seamless operation of applications. The role involves managing support requests, communicating status updates, and keeping technical knowledge up to date while contributing to an internal knowledge base.