Relyance AI
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As the Principal Software Engineer, you will lead initiatives in NLP and ML for information extraction, partner with teams to design impactful features, and implement end-to-end solutions while addressing complex problems in AI systems.
The Sr. Account Executive at Relyance AI is responsible for selling their privacy and data governance platform to enterprise customers, managing the sales process from lead generation to closure, and building relationships with key stakeholders while driving new business.
The Head of Growth Marketing will oversee demand generation activities, manage marketing budgets, analyze campaign performance, and collaborate with sales and content teams. This role involves leveraging analytics tools, optimizing marketing strategies, and implementing AI technology for personalized customer experiences.
The Head of Product Marketing at Relyance AI will create and implement marketing strategies, drive sales collaboration, manage product launches, develop content, and lead thought leadership initiatives while fostering a culture of excellence within the marketing team.
As a Sales Development Representative at Relyance AI, you will be responsible for lead generation and business prospecting, qualifying leads, and collaborating with the sales team to meet performance metrics while maintaining Salesforce records.
The Senior Customer Success Manager at Relyance AI will manage customer relationships post-implementation, ensuring adoption, retention, and expansion of services. Responsibilities include conducting meetings with executives, identifying customer needs for success, capturing feedback, collaborating with sales on renewals, and contributing to the development of the Customer Success organization.
As a Senior Customer Success Manager at Relyance AI, you will drive customer adoption, retention, and satisfaction by managing stakeholder relationships and developing success plans. Responsibilities include conducting business reviews with executives, identifying opportunities for product optimization, and collaborating with sales on renewals and expansions while also providing customer feedback internally.
As a Sr. Talent Acquisition Partner at Relyance AI, you will own the full recruitment life cycle, partner with Hiring Managers on recruitment strategies, leverage innovative sourcing techniques for sales and marketing roles, and utilize Greenhouse to optimize hiring processes.
The Senior Technical Product Manager at Relyance AI is responsible for enhancing product offerings through collaboration with various teams, managing product roadmaps, crafting product requirements, interfacing with stakeholders, measuring product metrics, and ensuring product adoption and efficiency.
As a Senior Software Engineer at Relyance AI, you will build and maintain core systems for the Relyance product, tackle complex challenges, automate processes, and collaborate with stakeholders to develop scalable backend systems while improving your full-stack skills across databases, APIs, and user interfaces.
The Senior Software Engineer, ML at Relyance AI will drive initiatives in NLP and ML for information extraction from legal documents and code, build innovative model architectures, and collaborate with cross-functional stakeholders to enhance AI solutions. The role requires a strategic mindset and ability to deliver practical ML and NLP solutions, focusing on detail and adaptability in a fast-paced environment.
As a Sr. Account Executive at Relyance AI, you will be responsible for selling the privacy and data governance platform to enterprise customers. This includes managing the sales process from lead generation to closure, driving complex sales cycles, building customer relationships, and providing exceptional service. You will also need to understand the data privacy issues faced by customers and communicate how Relyance AI’s solutions can address those needs.
As a Senior Software Engineer at Relyance AI, you will design and implement a high-performance static code analysis service, collaborate with data scientists to enhance algorithms using ML, and architect microservices for distributed systems. You will leverage strong principles in computer science to tackle complex engineering challenges and ensure high production quality.