Remote Jobs at Relyance AI

Ideal candidates should have top-tier consulting experience and/or in-house implementation experience with technical products at high-growth companies. A strong technology foundation with eagerness to expand knowledge in AI is necessary, along with experience in customer-facing and/or technical project management in complex environments. Candidates should demonstrate leadership, communication, and stakeholder management skills, as well as experience delivering technology projects, preferably in …

Candidates should possess 7+ years of experience as a key member of teams building complex backends, particularly those handling complex data, and demonstrate expert-level proficiency in Python. They should also have strong data structures, algorithms, and object-oriented software design and implementation skills, alongside the ability to learn and operate across the full stack, from ML and NLP to cloud infrastructure and UI frontend.

Candidates should possess 7+ years of experience as a key member of teams building complex backends, particularly those handling complex data, and demonstrate expert-level proficiency in Python. They should also have strong data structures, algorithms, and object-oriented software design and implementation skills, along with the ability to learn and operate across the full stack, including ML, NLP, cloud infrastructure, and UI frontend.

Candidates should possess 4+ years of pre-sales experience as a technical lead, selling enterprise software solutions to enterprise accounts in a B2B setting, along with 3+ years of experience implementing and solution engineering SaaS solutions, particularly those with ML components. They should also have 1+ years of experience in designing, implementing, or consulting on distributed applications or systems architecture, and 1+ years of experience working with RESTful APIs and general service-o…

Candidates should have 3+ years of product management experience, including shipping technical products such as APIs, platforms, and infrastructure, and direct experience interfacing with customers through roadmap discussions, feedback loops, or support escalations. They should possess deep familiarity with APIs, developer platforms, and integrations, including authentication models, versioning strategies, and architectural patterns. B2B SaaS experience and technical fluency in modern software s…

Candidates should possess 7+ years of experience as a key member of teams building complex backends, particularly those dealing with complex data, and expert proficiency in Python. They should also demonstrate strong data structures, algorithms, and object-oriented software design and implementation skills, along with the ability to learn and operate across the full stack, from ML and NLP to cloud infrastructure and UI frontend.

Candidates should possess 7+ years of experience as a key member of teams building ML and NLP solutions, or a PhD in a relevant field with industry experience. Expert-level proficiency in programming languages such as Python, Java, C#, C++, Scala, and strong data structures, algorithms, and object-oriented software design and implementation skills are required. The ability to learn and operate across the full stack, from ML and NLP systems to cloud infrastructure and AI backend systems, is also …

Candidates should possess a Bachelor’s degree or master’s in computer science, engineering, business, or a related field, and have at least 5 years of experience managing and driving adoption with enterprise accounts, preferably in SaaS companies. Knowledge of security and privacy, including familiarity with regulations like GDPR, CCPA, and GRC, is critical, along with a curiosity about modern technology stacks and the current privacy landscape.

Candidates should possess 7+ years of experience building complex backends, particularly those handling intricate data, along with expert-level proficiency in Python and strong data structures, algorithms, and object-oriented software design skills. They should also demonstrate the ability to learn and operate across the full stack, including ML, NLP, cloud infrastructure, and UI frontend, and possess a creative and strategic mindset for building robust and flexible systems.