Relyance AI's Posts (95)

2025-07-19

Manager, Software Engineer - AI Governance

As Relyance AI’sManager, Software Engineering - AI Governance, you will lead the delivery of our next-generation AI Governance product and then lead a global team continuing to build out the offering. You will be responsible for the technical vision, strategy, and execution of critical software initiatives that are the future of Relyance AI. As a Manager, Software Engineering, your role will include: This role could be a fit for you if you bring: Bonus points for: Working at Relyance AI At Relyance AI, we create an unreasonably hospitable and data-driven culture. We prioritize exceeding customer, and each other’s, expectations in every interaction. This means empowered team members solving problems proactively based on information, crafting personalized experiences, and radiating enthusiasm. Behind the scenes, trust and freedom allow team members to find creative solutions, while shared purpose and recognition fuel a spirit of greatness to truly wow customers and each other. We deconstruct failures to learn from them and take great pride in our successes; celebrating both. Relyance AI is proud to be an equal-opportunity employer. We celebrate representation and are committed to creating an inclusive environment for all employees. We are committed to fair and equitable compensation practices. We use data-driven pay practices with the goal of ensuring offerings are competitive to the market and our team members are being compensated correctly based on their roles, experience, and location. As such, the base salary pay range for this role is $205,000 - $230,000. - Overseeing the design, development, and deployment of high-quality software solutions. - Fostering a culture of innovation and technical excellence. - Mentoring and coaching team members to enhance their skills and career development. - Recruiting, hiring, and onboarding top engineering talent. - Planning, prioritizing, and executing software development projects. - Working closely with product management to define product roadmaps. - 5+ years of Python experience. - A strong technical background with a deep understanding of software engineering principles. - Meaningful experience working on an AI/ML product. - Proven experience managing and leading engineering product releases. - Excellent communication and interpersonal skills. - Ability to inspire and motivate teams. - Experience with Agile methodologies (e.g., Scrum, Kanban). - Startup/early-stage company experience. - Experience with 0 to 1 product builds. - Leading globally geographically dispersed teams.

Location: United States (Remote)

Salary range: None - None

2025-07-19

Senior Software Engineer - AI Backend

As Relyance AI’sSenior Software Engineer, AI Backend, you will strategize, drive, and execute on the core initiatives connecting output of NLP (Natural Language Processing) and AI models with the Relyance product. You will partner with cross-functional stakeholders to design and build a flexible, powerful, and robust NLP backend that scales the impact of AI for our customers. Given that you are constructing the foundation for a system with complex data that rapidly evolves over time, you need to pay close attention to detail, anticipate and welcome constant change, maintain a forward-thinking outlook, all while being fast and scrappy enough to address present needs. As a Senior Software Engineer - AI Backend, your role will include: This role could be a fit for you if you bring: Bonus points for: - Strategy: using your experience and understanding of how complex backends and data evolve over time, you will create and execute a roadmap for a system that enables high velocity AI development while creating stability on the product side - Execution: make customer-centric prioritization decisions to balance between immediate impact and long-term bets and partner with the team manager to drive alignment and collaboration with other engineering teams - Design: deeply understand how everything fits together; architect systems to balance scrappiness for the current needs with a forward-thinking outlook to improve and scale our infrastructure; continuously look for opportunities to automate and build tools to lower operational barriers - Hands-on: being a key member of the team solving its most complex problems with the simple, pragmatic solutions - Learning: in this role, you will have ample opportunities to become a hands-on AI/ML engineer by learning practical use of AI technologies such as LLMs (Large Language Models, e.g. ChatGPT and GPT-4), smaller models like BERT and T5, frameworks like PyTorch and TensorFlow, model training and data curation workflows, etc. - 7+ years of experience with a track record of being a key member of teams building complex backends, especially backends that deal with complex data - Expert level proficiency in Python - Strong data structures, algorithms, and OO software design and implementation skills - Ability to learn and operate across full stack, from ML and NLP, to cloud infrastructure, to UI frontend - Experience as a creative and strategic thinker with mindset to build powerful, robust, and flexible systems - A “get stuff done” attitude and enjoy being hands-on and working alongside the team to solve its most pressing problems in a fast-paced, collaborative environment - A track record of successfully influencing product direction through a strong perspective that motivates engineers to develop simple, pragmatic solutions to complex problems - Skills in communicating with clear and concise, active listening and empathy skills, and a respectful, collaborative approach that earns the trust of your peers - Experience with ML and NLP in particular - Experience with a privacy technology - Startup Experience - An advanced technical degree

Location: India, Karnataka-Bengaluru(Remote)

Salary range: None - None

2025-07-19

Customer Success Manager

As Relyance AI’s Senior Customer Success Manager, you will be responsible for managing the adoption, expansion, retention, and overall post-implementation experience for your portfolio of customers. You’ll need to establish trust and build relationships with different customer stakeholders (including managers, directors, VPs, and CISOs) and develop joint success plans with them to ensure there is a clear plan in place to achieve the challenges customers are looking to solve using Relyance. As a Senior Customer Success Manager, your role will include: This role could be a fit for you if you bring: Bonus points for: Working at Relyance AI At Relyance AI, we create an unreasonably hospitable and data-driven culture. We prioritize exceeding customer, and each other’s, expectations in every interaction. This means empowered team members solving problems proactively based on information, crafting personalized experiences, and radiating enthusiasm. Behind the scenes, trust and freedom allow team members to find creative solutions, while shared purpose and recognition fuel a spirit of greatness to truly wow customers and each other. We deconstruct failures to learn from them and take great pride in our successes; celebrating both. Relyance AI is proud to be an equal-opportunity employer. We celebrate representation and are committed to creating an inclusive environment for all employees. We are committed to fair and equitable compensation practices. We use data-driven pay practices with the goal of ensuring offerings are competitive to the market and our team members are being compensated correctly based on their roles, experience, and location. - Conducting check-in meetings for tactical items and performing business reviews with C-level executives / decision-makers to align on their objectives and business outcomes. - Understand customer workflows and proactively identify customers who aren’t maximizing their opportunity with our product/service and reach out to create an action plan to help them achieve success. - Be the voice of the customer by consistently capturing customer feedback, customer highlights, and lowlights and channel that internally with various stakeholders (product, exec team, etc.). - Becoming a Relyance AI product expert.Identify process gaps, templatize, and implement playbooks to scale and optimize the Relyance AI customer success function. - Collaborate with the Sales team to manage deals, renewals, and expansions. - Actively participate in shaping the future of the Customer Success organization at Relyance AI. - This role would be an individual contributor role - Bachelor’s degree or master’s in computer science, engineering, business or other related field - Ability to work the night shift in Bangalore, India. - 5+ years of experience managing and driving adoption with enterprise accounts, preferably with SaaS companies/products. - Renewal/expansion experience in the SaaS industry is must. Also, knowledge of security and privacy is critical skill. - Curiosity. This role will challenge your technical and domain-specific skills, and having a healthy dose of curiosity about the modern technology stack, and the current privacy landscape will set you up for success. - A growth mindset and are willing to think from first principles. - Ability to break down big problems / ambiguous goals into smaller actionable steps. A bias for creating clarity (for internal stakeholders and customers) and strong project management skills will be a key part of this role. - Empathy for customer workflows and the ability to dig deep. Making customers successful makes you successful. - Past technical experience in some capacity and find modern technology stacks fascinating. - privacy experience (GDPR, CCPA, GRC, etc.) in some capacity. - Experience with code in your past experience/school or a side project or technical SaaS implementation experience. While coding will not be a part of this role, the willingness and curiosity to lean into different technology stacks and work with technical stakeholders will set you up for success.

Location: Bangalore, India (Remote)

Salary range: None - None

2025-07-19

Professional Services Consultant

As Relyance AI’s Professional Services Consultant, you will work with and assist our top customers in implementing and configuring Relyance AI integrations to accelerate their Privacy. You will provide product and implementation expertise and work with clients to document project requirements, common practices, and configure integrations across enterprises. You will be responsible for ensuring the successful implementation of product configurations and integrations. You will work closely with the cross-functional team assigned to your projects. As a Professional Services Engineer, your role will include: This role could be a fit for you if you bring: Bonus points for: Working at Relyance AI: At Relyance AI, we create an unreasonably hospitable and data-driven culture. We prioritize exceeding customer, and each other’s, expectations in every interaction. This means empowered team members solving problems proactively based on information, crafting personalized experiences, and radiating enthusiasm. Behind the scenes, trust and freedom allow team members to find creative solutions, while shared purpose and recognition fuel a spirit of greatness to truly wow customers and each other. We deconstruct failures to learn from them and take great pride in our successes; celebrating both. Relyance AI is proud to be an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We are committed to fair and equitable compensation practices. We use data-driven pay practices with the goal of ensuring offerings are competitive to the market and our team members are being compensated correctly based on their roles, experience, and location. As such, the base salary pay range for this role is $150-180,000. - Scoping, designing, and deploying Relyance products. Consulting with customers to fully understand the implementation process and actively solve their pain points. Understanding client business requirements, provide recommendations and demonstrate the configurations through the project, troubleshoot errors, and assist the client in deploying the solution. - Providing technical thought leadership for organizations and expert advice related to implementation and sharing best practices. - Providing internal and customer status reports to keep stakeholders apprised of overall project status. - Experience with installation, integration and deployment of integrated SaaS technologies. - Proven experience with public cloud providers such as AWS, Google and Azure. - Experience developing and operationalizing project plans for packaged implementations. - Understanding of the following: - Linux, Docker, and virtual machines - APIs and related technology - Identity and Access Management (SAML, Okta, AzureAD) in client environment - Experience with and understanding of Agile development methods and how organizations adopt and implement these to support their end-to-end software development lifecycle processes. - An understanding of the Privacy ecosystems and requirements. - High emotional intelligence, including curiosity, empathy, self-awareness, and integrity. - Linux, Docker, and virtual machines - APIs and related technology - Identity and Access Management (SAML, Okta, AzureAD) in client environment - Engagement and Project Management experience + IC.

Location: San Francisco, Bay Area

Salary range: None - None

2025-07-19

Senior Software Engineer - AI Backend

As Relyance AI’sSenior Software Engineer, AI Backend, you will strategize, drive, and execute on the core initiatives connecting output of NLP (Natural Language Processing) and AI models with the Relyance product. You will partner with cross-functional stakeholders to design and build a flexible, powerful, and robust NLP backend that scales the impact of AI for our customers. Given that you are constructing the foundation for a system with complex data that rapidly evolves over time, you need to pay close attention to detail, anticipate and welcome constant change, maintain a forward-thinking outlook, all while being fast and scrappy enough to address present needs. As a Senior Software Engineer - AI Backend, your role will include: This role could be a fit for you if you bring: Bonus points for: - Strategy: using your experience and understanding of how complex backends and data evolve over time, you will create and execute a roadmap for a system that enables high velocity AI development while creating stability on the product side - Execution: make customer-centric prioritization decisions to balance between immediate impact and long-term bets and partner with the team manager to drive alignment and collaboration with other engineering teams - Design: deeply understand how everything fits together; architect systems to balance scrappiness for the current needs with a forward-thinking outlook to improve and scale our infrastructure; continuously look for opportunities to automate and build tools to lower operational barriers - Hands-on: being a key member of the team solving its most complex problems with the simple, pragmatic solutions - Learning: in this role, you will have ample opportunities to become a hands-on AI/ML engineer by learning practical use of AI technologies such as LLMs (Large Language Models, e.g. ChatGPT and GPT-4), smaller models like BERT and T5, frameworks like PyTorch and TensorFlow, model training and data curation workflows, etc. - 7+ years of experience with a track record of being a key member of teams building complex backends, especially backends that deal with complex data - Expert level proficiency in Python - Strong data structures, algorithms, and OO software design and implementation skills - Ability to learn and operate across full stack, from ML and NLP, to cloud infrastructure, to UI frontend - Experience as a creative and strategic thinker with mindset to build powerful, robust, and flexible systems - A “get stuff done” attitude and enjoy being hands-on and working alongside the team to solve its most pressing problems in a fast-paced, collaborative environment - A track record of successfully influencing product direction through a strong perspective that motivates engineers to develop simple, pragmatic solutions to complex problems - Skills in communicating with clear and concise, active listening and empathy skills, and a respectful, collaborative approach that earns the trust of your peers - Experience with ML and NLP in particular - Experience with a privacy technology - Startup Experience - An advanced technical degree

Location: India, Karnataka-Bengaluru(Remote)

Salary range: None - None

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