The Community You Will Join:

The CRM Engineering team builds world-class tools that drive growth and foster meaningful relationships between Airbnb and its community, including Hosts, Guests, Law Enforcement, Government Regulators, Local Community Leaders, and more. This team tackles some of the most challenging and unique problems faced by our business. Here are a few examples:

• Growth Platform: Designed to increase supply and retain existing hosts.
• Policy Platform: Enables Airbnb to engage with regulatory bodies across the globe regarding short-term rental regulations. This platform tracks regulations that impact the Airbnb business and provides intelligence to address unique business challenges.
• Community Platform: Establishes a social platform to drive community enablement, collaboration, and success.
• Agent Tools: Empowers agents to understand and resolve issues that customers are unable to address on their own.
• Aircover Claims Platform: Facilitates the processing of claims for Aircover insurance products, offering protection to both hosts and guests.

The Difference You Will Make:

The Community Platform team is building a groundbreaking social platform aimed at delivering a differentiated service to our community. This platform will empower local communities to collaborate, support community leaders, host local and global events, provide improved resources, drive engagement, mobilize the community, and offer direct feedback to Airbnb.

We are seeking a highly skilled and motivated Full Stack engineer who is passionate about making a difference through their work. You will play a significant role in shaping the technical vision and then delivering a solution that is flexible, efficient and scales with the needs of the business. Each individual brings their own unique skill set, experiences, thought leadership and technical expertise to solve these technical challenges for Airbnb.

A Typical Day: 

• Work cross-functionally with product, design, and other engineering counterparts to execute on product and business strategy to build novel products and features
• Drive, lead, and contribute to the full development cycle: technical design, development, test, experimentation, analysis, and launch.
• You’ll be reviewing code and design docs, giving feedback on product specs and mocks.
• Provide critical input in team roadmap and technical direction.

Your Expertise:

• 6+ years of full software development experience
• Proficient in at least one major programming language (preferably Java / Kotlin / Scala / Ruby on Rails / Python).
• Passion for delivering products end-to-end: from ideation through planning and scoping to implementation and experimental A/B testing.
• Exposure to architectural patterns of large, high-scale web applications, such as well-designed APIs, high volume data pipelines, and efficient algorithms.
• Passionate about design and building UX products. You bring flexibility to collaboration with design and product partners by presenting tradeoffs and iterating to the ideal solution.
• Outstanding communication and interpersonal skills and detail oriented.
• Bachelor’s and/or Master’s degree, preferably in CS, or equivalent experience.

At Reltio®, we believe data should fuel business success. Reltio’s AI-powered data unification and management capabilities—encompassing entity resolution, multi-domain master data management (MDM), and data products—transform siloed data from disparate sources into unified, trusted, and interoperable data. Reltio Data Cloud™ delivers interoperable data where and when it's needed, empowering data and analytics leaders with unparalleled business responsiveness. Leading enterprise brands—across multiple industries around the globe—rely on our award-winning data unification and cloud-native MDM capabilities to improve efficiency, manage risk and drive growth.

At Reltio, our values guide everything we do. With an unyielding commitment to prioritizing our “Customer First”, we strive to ensure their success. We embrace our differences and are “Better Together” as One Reltio. We are always looking to “Simplify and Share” our knowledge when we collaborate to remove obstacles for each other. We hold ourselves accountable for our actions and outcomes and strive for excellence. We “Own It”. Every day, we innovate and evolve, so that today is “Always Better Than Yesterday”. If you share and embody these values, we invite you to join our team at Reltio and contribute to our mission of excellence.

Reltio has earned numerous awards and top rankings for our technology, our culture and our people. Reltio was founded on a distributed workforce and offers flexible work arrangements to help our people manage their personal and professional lives. If you’re ready to work on unrivaled technology where your desire to be part of a collaborative team is met with a laser-focused mission to enable digital transformation with connected data, let’s talk!

About the Role

We are seeking a Senior AI Engineer with a strong foundation in Python capabilities, and hands-on experience building Agentic AI applications that integrate with Large Language Models (LLMs) Large Language Models (LLMs). We are also looking for him to be a full-stack Engineer with hands-on experience with mobile front-end hands-on experience with mobile front-end Flutter, React-native. This role blends traditional backend engineering expertise with next-generation AI agentic systems development, requiring not just system design skills, but also creativity in prompt engineering, AI product development and working with data-rich environments.

You will contribute to the design and implementation of intelligent backend services that coordinate LLMs, agents, and data workflows to support enterprise-grade agentic systems.

Key Responsibilities

• Develop robust, scalable Java/Python based backend systems that enable the orchestration of Agentic AI workflows.
• Develop state-of-the-art AI/ML models for solving real-world data management challenges such as entity resolution, classification, similarity matching, and anomaly detection.
• Integrate LLMs (e.g., OpenAI, Mistral, Claude, LLaMA) into backend pipelines to power autonomous or semi-autonomous decision-making.
• Hands on experience with mobile front-end Flutter, React-native etc.
• Develop scalable ML workflows using Spark, MLlib, PyTorch, TensorFlow, or MLFlow, with seamless integration into production systems.
• Translate business needs into technical design and collaborate with data scientists, product managers, and platform engineers to operationalize models.
• Work closely with various stakeholders to design agent architectures and LLM toolchains (using frameworks like LangGraph, Crew AI, AutoGen, etc.).
• Implement services and APIs that manage prompt chaining, tool invocation, and contextual memory for agents.
• Collaborate with data engineers to ensure clean, efficient, and real-time access to structured and semi-structured data.
• Apply prompt engineering best practices to improve agent behavior, task accuracy, and adaptability.
• Monitor and optimize service performance, reliability, and scalability in production environments.
• Continuously monitor and improve model performance using feedback loops, A/B testing, drift detection, and retraining strategies.
• Contribute to code reviews, mentoring, and best practices for hybrid backend/AI development.

Required Qualifications

• 5+ years of overall experience mobile front-end Flutter, React-native etc
• 2+ years of experience in developing and deploying machine learning models and AI products in production environments.
• Experience in Agentic AI systems development using tools such as LangGraph, Crew AI, AutoGen, or similar.
• Proficiency in Python (NumPy, scikit-learn, pandas, PyTorch/TensorFlow) and experience with large-scale data processing tools (Spark, Kafka, Airflow).
• Experience integrating or orchestrating LLMs within business workflows or intelligent assistants.
• Solid understanding of prompt engineering techniques (e.g., system messages, chaining, tool invocation prompts).
• Familiarity with data engineering concepts, including pipelines, data models, and ETL workflows.
• Strong grasp of object-oriented design, data structures, and algorithms.

Preferred Qualifications

• Experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex, RAG pipelines).
• Background in building microservices or backend systems for data-rich AI/ML platforms.
• Experience with vector databases, embedding services, or semantic search integration.
• Knowledge of cloud platforms (AWS, GCP, or Azure), containerization (Docker), and DevOps best practices.
• Experience in developing LLM-powered agents, copilots, or task bots.

What We Offer

• Opportunity to work on cutting-edge backend and AI systems, including agentic automation and LLM innovation.
• A flexible hybrid work model in our Bangalore office.
• Competitive compensation with performance-based rewards.
• A culture that promotes engineering excellence, experimentation, and growth.Access to learning platforms, technical workshops, and industry-leading AI research.

Why Join Reltio?*

• Health & Wellness:
  • Comprehensive Group medical insurance including your parents with additional top-up options.
  • Accidental Insurance
  • Life insurance
  • Free online unlimited doctor consultations
  • An Employee Assistance Program (EAP)
• Work-Life Balance:
  • 36 annual leaves, which includes Sick leaves – 18, Earned Leaves - 18
  • 26 weeks of maternity leave, 15 days of paternity leave
  • Very unique to Reltio - 01 week of additional off as recharge week every year globally
• Support for home office setup:
  • Home office setup allowance.
• Stay Connected, Work Flexibly: Mobile & Internet Reimbursement
• No need to pack a lunch—we’ve got you covered with a free meal.And many more…..

Staff Solutions Engineer 
Location: Bengaluru, Karnataka (Hybrid) 

Role Overview 

As a Staff Solutions Engineer, you are a hands-on software engineer who leads customer engagements from a technical pod while remaining deeply involved in design and implementation. 

You will own the technical success of customer deployments built on JazzX’s AGI platform—leading architecture, implementation, and delivery while working directly with enterprise customers. This role is designed for engineers who enjoy building real systems, guiding other engineers, and taking accountability for outcomes in complex customer environments. 

It is a delivery-focused engineering leadership role that combines deep technical execution with customer-facing ownership. 

You will: 

• Lead customer engagements as the technical owner for a delivery pod. 

• Design and implement production-grade enterprise systems using JazzX’s platform. 

• Apply GenAI and LLM-based capabilities (e.g., RAG, agent workflows) as part of scalable, reliable solutions. 

• Partner with product, platform, and research teams across the full solution lifecycle. 

• Act as the primary technical escalation point for customer deployments. 

• Influence platform evolution by feeding real-world learnings back into reusable components and patterns. 

• Set a high engineering bar through hands-on contribution, design leadership, and mentorship. 

Key Responsibilities 

Hands-On Software Engineering 

• Write and review production-quality code across backend services, APIs, and orchestration layers. 

• Make architectural decisions balancing scalability, performance, security, and long-term maintainability. 

• Design and build robust integrations with multiple third-party systems using RESTful APIs, event-driven interfaces, and data pipelines in complex enterprise environments. 

• Ensure solutions meet production standards for reliability, observability, and operational readiness. 

Applied GenAI & Agentic Systems 

• Apply a strong understanding of LLM behavior, capabilities, and limitations to design reliable, production-ready systems. 

• Build and orchestrate agentic workflows that coordinate multiple steps, tools, and decision points to achieve complex goals. 

• Design prompt strategies, tool interfaces, and control flows that enable agents to reason, act, and recover from failures. 

• Integrate LLMs into larger software systems with clear boundaries, guardrails, and observability. 

• Evaluate and iterate on agent behavior using real-world signals such as correctness, latency, cost, and user outcomes. 

• Collaborate with platform and research teams to validate emerging agent frameworks and reasoning approaches in customer environments. 

Customer Delivery Leadership 

• Lead technical execution for customer POCs, pilots, and production rollouts. 

• Work closely with customer engineering and IT teams to integrate JazzX into existing enterprise ecosystems. 

• Troubleshoot complex integration, data, and system issues, owning resolution end-to-end. 

Staff-Level Impact 

• Lead and mentor engineers within the delivery pod, providing technical direction and feedback. 

• Establish and reinforce best practices for customer-facing engineering. 

• Turn customer insights into reusable architectures, templates, and delivery standards. 

Qualifications 

Must-Have 

• 9+ years of professional software engineering experience building and operating production systems. 

• Strong proficiency in Python with a proven track record of writing maintainable, well-tested code. 

• Experience designing and building backend services, APIs, and distributed systems. 

• Practical experience applying GenAI or LLM-based systems in real-world applications (e.g., RAG pipelines, agent workflows, LLM-backed services). 

• Experience leading or owning technical delivery for customer-facing projects. 

• Strong understanding of system reliability, observability, and operational best practices. 

• Excellent communication skills and ability to collaborate with engineering, product, and customer stakeholders. 

• Willingness to travel up to 20% for key customer engagements. 

Nice-to-Have 

• Experience delivering software in regulated or policy-heavy domains (e.g., finance, lending, healthcare, insurance). 

• Familiarity with vector databases, semantic search, or knowledge retrieval systems. 

• Experience contributing to shared libraries, internal platforms, or reusable engineering components. 

• Prior experience in a fast-paced startup or early-stage product environment. 

Attributes We Value 

• Hands-On Leadership: You lead by building, reviewing, and guiding—not by delegating everything. 

• Engineering Excellence: You care deeply about correctness, reliability, and long-term maintainability. 

• Customer Empathy: You understand enterprise constraints and design systems accordingly. 

• Ownership & Accountability: You take responsibility for outcomes, not just tasks. 

• Collaboration & Mentorship: You raise the bar for those around you. 

Staff Solutions Engineer 
Location: Bengaluru, Karnataka (Hybrid) 

Role Overview 

As a Staff Solutions Engineer, you are a hands-on software engineer who leads customer engagements from a technical pod while remaining deeply involved in design and implementation. 

You will own the technical success of customer deployments built on JazzX’s AGI platform—leading architecture, implementation, and delivery while working directly with enterprise customers. This role is designed for engineers who enjoy building real systems, guiding other engineers, and taking accountability for outcomes in complex customer environments. 

It is a delivery-focused engineering leadership role that combines deep technical execution with customer-facing ownership. 

You will: 

• Lead customer engagements as the technical owner for a delivery pod. 

• Design and implement production-grade enterprise systems using JazzX’s platform. 

• Apply GenAI and LLM-based capabilities (e.g., RAG, agent workflows) as part of scalable, reliable solutions. 

• Partner with product, platform, and research teams across the full solution lifecycle. 

• Act as the primary technical escalation point for customer deployments. 

• Influence platform evolution by feeding real-world learnings back into reusable components and patterns. 

• Set a high engineering bar through hands-on contribution, design leadership, and mentorship. 

Key Responsibilities 

Hands-On Software Engineering 

• Write and review production-quality code across backend services, APIs, and orchestration layers. 

• Make architectural decisions balancing scalability, performance, security, and long-term maintainability. 

• Design and build robust integrations with multiple third-party systems using RESTful APIs, event-driven interfaces, and data pipelines in complex enterprise environments. 

• Ensure solutions meet production standards for reliability, observability, and operational readiness. 

Applied GenAI & Agentic Systems 

• Apply a strong understanding of LLM behavior, capabilities, and limitations to design reliable, production-ready systems. 

• Build and orchestrate agentic workflows that coordinate multiple steps, tools, and decision points to achieve complex goals. 

• Design prompt strategies, tool interfaces, and control flows that enable agents to reason, act, and recover from failures. 

• Integrate LLMs into larger software systems with clear boundaries, guardrails, and observability. 

• Evaluate and iterate on agent behavior using real-world signals such as correctness, latency, cost, and user outcomes. 

• Collaborate with platform and research teams to validate emerging agent frameworks and reasoning approaches in customer environments. 

Customer Delivery Leadership 

• Lead technical execution for customer POCs, pilots, and production rollouts. 

• Work closely with customer engineering and IT teams to integrate JazzX into existing enterprise ecosystems. 

• Troubleshoot complex integration, data, and system issues, owning resolution end-to-end. 

Staff-Level Impact 

• Lead and mentor engineers within the delivery pod, providing technical direction and feedback. 

• Establish and reinforce best practices for customer-facing engineering. 

• Turn customer insights into reusable architectures, templates, and delivery standards. 

Qualifications 

Must-Have 

• 9+ years of professional software engineering experience building and operating production systems. 

• Strong proficiency in Python with a proven track record of writing maintainable, well-tested code. 

• Experience designing and building backend services, APIs, and distributed systems. 

• Practical experience applying GenAI or LLM-based systems in real-world applications (e.g., RAG pipelines, agent workflows, LLM-backed services). 

• Experience leading or owning technical delivery for customer-facing projects. 

• Strong understanding of system reliability, observability, and operational best practices. 

• Excellent communication skills and ability to collaborate with engineering, product, and customer stakeholders. 

• Willingness to travel up to 20% for key customer engagements. 

Nice-to-Have 

• Experience delivering software in regulated or policy-heavy domains (e.g., finance, lending, healthcare, insurance). 

• Familiarity with vector databases, semantic search, or knowledge retrieval systems. 

• Experience contributing to shared libraries, internal platforms, or reusable engineering components. 

• Prior experience in a fast-paced startup or early-stage product environment. 

Attributes We Value 

• Hands-On Leadership: You lead by building, reviewing, and guiding—not by delegating everything. 

• Engineering Excellence: You care deeply about correctness, reliability, and long-term maintainability. 

• Customer Empathy: You understand enterprise constraints and design systems accordingly. 

• Ownership & Accountability: You take responsibility for outcomes, not just tasks. 

• Collaboration & Mentorship: You raise the bar for those around you. 

Staff Solutions Engineer 
Location: Bengaluru, Karnataka (Hybrid) 

Role Overview 

As a Staff Solutions Engineer, you are a hands-on software engineer who leads customer engagements from a technical pod while remaining deeply involved in design and implementation. 

You will own the technical success of customer deployments built on JazzX’s AGI platform—leading architecture, implementation, and delivery while working directly with enterprise customers. This role is designed for engineers who enjoy building real systems, guiding other engineers, and taking accountability for outcomes in complex customer environments. 

It is a delivery-focused engineering leadership role that combines deep technical execution with customer-facing ownership. 

You will: 

• Lead customer engagements as the technical owner for a delivery pod. 

• Design and implement production-grade enterprise systems using JazzX’s platform. 

• Apply GenAI and LLM-based capabilities (e.g., RAG, agent workflows) as part of scalable, reliable solutions. 

• Partner with product, platform, and research teams across the full solution lifecycle. 

• Act as the primary technical escalation point for customer deployments. 

• Influence platform evolution by feeding real-world learnings back into reusable components and patterns. 

• Set a high engineering bar through hands-on contribution, design leadership, and mentorship. 

Key Responsibilities 

Hands-On Software Engineering 

• Write and review production-quality code across backend services, APIs, and orchestration layers. 

• Make architectural decisions balancing scalability, performance, security, and long-term maintainability. 

• Design and build robust integrations with multiple third-party systems using RESTful APIs, event-driven interfaces, and data pipelines in complex enterprise environments. 

• Ensure solutions meet production standards for reliability, observability, and operational readiness. 

Applied GenAI & Agentic Systems 

• Apply a strong understanding of LLM behavior, capabilities, and limitations to design reliable, production-ready systems. 

• Build and orchestrate agentic workflows that coordinate multiple steps, tools, and decision points to achieve complex goals. 

• Design prompt strategies, tool interfaces, and control flows that enable agents to reason, act, and recover from failures. 

• Integrate LLMs into larger software systems with clear boundaries, guardrails, and observability. 

• Evaluate and iterate on agent behavior using real-world signals such as correctness, latency, cost, and user outcomes. 

• Collaborate with platform and research teams to validate emerging agent frameworks and reasoning approaches in customer environments. 

Customer Delivery Leadership 

• Lead technical execution for customer POCs, pilots, and production rollouts. 

• Work closely with customer engineering and IT teams to integrate JazzX into existing enterprise ecosystems. 

• Troubleshoot complex integration, data, and system issues, owning resolution end-to-end. 

Staff-Level Impact 

• Lead and mentor engineers within the delivery pod, providing technical direction and feedback. 

• Establish and reinforce best practices for customer-facing engineering. 

• Turn customer insights into reusable architectures, templates, and delivery standards. 

Qualifications 

Must-Have 

• 9+ years of professional software engineering experience building and operating production systems. 

• Strong proficiency in Python with a proven track record of writing maintainable, well-tested code. 

• Experience designing and building backend services, APIs, and distributed systems. 

• Practical experience applying GenAI or LLM-based systems in real-world applications (e.g., RAG pipelines, agent workflows, LLM-backed services). 

• Experience leading or owning technical delivery for customer-facing projects. 

• Strong understanding of system reliability, observability, and operational best practices. 

• Excellent communication skills and ability to collaborate with engineering, product, and customer stakeholders. 

• Willingness to travel up to 20% for key customer engagements. 

Nice-to-Have 

• Experience delivering software in regulated or policy-heavy domains (e.g., finance, lending, healthcare, insurance). 

• Familiarity with vector databases, semantic search, or knowledge retrieval systems. 

• Experience contributing to shared libraries, internal platforms, or reusable engineering components. 

• Prior experience in a fast-paced startup or early-stage product environment. 

Attributes We Value 

• Hands-On Leadership: You lead by building, reviewing, and guiding—not by delegating everything. 

• Engineering Excellence: You care deeply about correctness, reliability, and long-term maintainability. 

• Customer Empathy: You understand enterprise constraints and design systems accordingly. 

• Ownership & Accountability: You take responsibility for outcomes, not just tasks. 

• Collaboration & Mentorship: You raise the bar for those around you. 

Staff Solutions Engineer 
Location: Bengaluru, Karnataka (Hybrid) 

Role Overview 

As a Staff Solutions Engineer, you are a hands-on software engineer who leads customer engagements from a technical pod while remaining deeply involved in design and implementation. 

You will own the technical success of customer deployments built on JazzX’s AGI platform—leading architecture, implementation, and delivery while working directly with enterprise customers. This role is designed for engineers who enjoy building real systems, guiding other engineers, and taking accountability for outcomes in complex customer environments. 

It is a delivery-focused engineering leadership role that combines deep technical execution with customer-facing ownership. 

You will: 

• Lead customer engagements as the technical owner for a delivery pod. 

• Design and implement production-grade enterprise systems using JazzX’s platform. 

• Apply GenAI and LLM-based capabilities (e.g., RAG, agent workflows) as part of scalable, reliable solutions. 

• Partner with product, platform, and research teams across the full solution lifecycle. 

• Act as the primary technical escalation point for customer deployments. 

• Influence platform evolution by feeding real-world learnings back into reusable components and patterns. 

• Set a high engineering bar through hands-on contribution, design leadership, and mentorship. 

Key Responsibilities 

Hands-On Software Engineering 

• Write and review production-quality code across backend services, APIs, and orchestration layers. 

• Make architectural decisions balancing scalability, performance, security, and long-term maintainability. 

• Design and build robust integrations with multiple third-party systems using RESTful APIs, event-driven interfaces, and data pipelines in complex enterprise environments. 

• Ensure solutions meet production standards for reliability, observability, and operational readiness. 

Applied GenAI & Agentic Systems 

• Apply a strong understanding of LLM behavior, capabilities, and limitations to design reliable, production-ready systems. 

• Build and orchestrate agentic workflows that coordinate multiple steps, tools, and decision points to achieve complex goals. 

• Design prompt strategies, tool interfaces, and control flows that enable agents to reason, act, and recover from failures. 

• Integrate LLMs into larger software systems with clear boundaries, guardrails, and observability. 

• Evaluate and iterate on agent behavior using real-world signals such as correctness, latency, cost, and user outcomes. 

• Collaborate with platform and research teams to validate emerging agent frameworks and reasoning approaches in customer environments. 

Customer Delivery Leadership 

• Lead technical execution for customer POCs, pilots, and production rollouts. 

• Work closely with customer engineering and IT teams to integrate JazzX into existing enterprise ecosystems. 

• Troubleshoot complex integration, data, and system issues, owning resolution end-to-end. 

Staff-Level Impact 

• Lead and mentor engineers within the delivery pod, providing technical direction and feedback. 

• Establish and reinforce best practices for customer-facing engineering. 

• Turn customer insights into reusable architectures, templates, and delivery standards. 

Qualifications 

Must-Have 

• 9+ years of professional software engineering experience building and operating production systems. 

• Strong proficiency in Python with a proven track record of writing maintainable, well-tested code. 

• Experience designing and building backend services, APIs, and distributed systems. 

• Practical experience applying GenAI or LLM-based systems in real-world applications (e.g., RAG pipelines, agent workflows, LLM-backed services). 

• Experience leading or owning technical delivery for customer-facing projects. 

• Strong understanding of system reliability, observability, and operational best practices. 

• Excellent communication skills and ability to collaborate with engineering, product, and customer stakeholders. 

• Willingness to travel up to 20% for key customer engagements. 

Nice-to-Have 

• Experience delivering software in regulated or policy-heavy domains (e.g., finance, lending, healthcare, insurance). 

• Familiarity with vector databases, semantic search, or knowledge retrieval systems. 

• Experience contributing to shared libraries, internal platforms, or reusable engineering components. 

• Prior experience in a fast-paced startup or early-stage product environment. 

 Attributes We Value 

• Hands-On Leadership: You lead by building, reviewing, and guiding—not by delegating everything. 

• Engineering Excellence: You care deeply about correctness, reliability, and long-term maintainability. 

• Customer Empathy: You understand enterprise constraints and design systems accordingly. 

• Ownership & Accountability: You take responsibility for outcomes, not just tasks. 

• Collaboration & Mentorship: You raise the bar for those around you. 

Introduction:

Are you searching for an opportunity to play a key role in driving the dramatic growth of a highly successful software company? 

At Poppulo, we’re working on what’s next in communications and workplace technology. As a pioneer in this industry, we understand that meaningfully reaching every employee is hard. And so is managing office space in a hybrid world. And so is improving the customer and guest experience. We exist to make each of these things easier. We exist to bring harmony to our customers. 

And we do that at enterprise scale. Our omnichannel employee communications, customer communications, and workplace experience platform is trusted by over 6,000 organizations today, reaching more than 35M employees and delivering content to 500,000+ digital signs.

We know there’s no such thing as a “perfect" candidate - we’re all a work in progress and are growing new skills and capabilities all the time. We encourage you to apply for a position with Poppulo even if you don’t meet 100% of the requirements. We believe in fostering an environment where there is a diversity of perspectives, in hopes that we can all thrive. 

The Opportunity

We are looking for a Sr. Machine Learning (ML) Engineer with a strong sense of ownership. If you are an ML practitioner who thrives in an environment where innovation meets practical application to build disruptive products, this role is for you. 

At Poppulo, we intend to redefine boundaries and reshape Employee Communications and Digital Signage through the power of cutting-edge machine learning and AI. We are not just building products; we are disrupting the status-quo with transformative solutions that challenge conventional thinking, create competitive edge and create new market opportunities. 

This role is pivotal to the success of our AI team. It is the backbone of our ML initiatives. This role bridges the gap between research and production by leveraging cutting-edge AI technology into leading, world-class solutions.  

As a Sr. Full-Stack Machine Learning (ML) Engineer, you be the key driver for innovative problem solving by combining technical excellence with creative application of ML. Your expertise will be crucial in uncovering hidden opportunities within product ideas, including the design and deployment of agentic AI systems that can reason, plan, and act autonomously within real-world product constraints. Additionally, you will stay at the forefront of emerging technologies, continuously evaluating new AI/ML frameworks, tools, and best practices to help guide the evolution of our software solutions. 

Key Responsibilities

• Own end-to-end delivery of AI features across model, backend, APIs, UI integration, deployment, monitoring, and iteration in production
• Solve complex challenges with AI/ML: Design, develop new AI-powered products that deliver the product roadmap, including agentic AI solutions that orchestrate LLMs, tools, and workflows to solve multi-step problems autonomously.
• Implement ML lifecycle - from data engineering and model development to cloud-based deployment, integrations and operationalisation. Incl. MLOps 
• Productionise full-stack AI/ML solutions: Translate emerging techs like GenAI& agenticAI architectures into innovative, practical solutions that transform customer experiences. 
• Align with Product Strategy: Create proof of concepts at high cadence to demonstrate/validate potential solutions as per our product strategy. 
• Optimise Model and system performance: Fine-tune, optimise training and inference performances, including latency, cost, and reliability trade-offs in agent-based and LLM-driven systems.
• Wider collaboration: Partner with cross-functional teams to demonstrate and validate the impact of ML innovations before introducing them into the product ecosystem. 
• Research Savvy: Staying up-to-date with SOTA and industry trends in AI/ML, with a strong awareness of advances in agentic systems, autonomous workflows, and multi-agent architectures. 

Technical Skills / Competencies  

• Strong AI/ML background: Expertise in designing, building and deploying real-world ML applications (Computer Vision, Classification, etc.) 
• Strong foundation in GenAI: Deep understanding of generative models (LLMs, etc.), AI Agents, prompt engineering RAG, vector databases. 
• Technical Expertise: Proficiency in ML/GenAI frameworks, databases, shell scripts and programming languages, including frameworks and tools commonly used for building and orchestrating AI agents.
• MLOps expertise: Hands-on experience in setting up MLOps on AWS, Azure and GCP. 
• Full-stack expertise: Proficiency in data pipelines, distributed systems, APIs, web front-end, mobile apps, automated testing and cloud platforms (AWS, GCP, etc.). 
• Exceptional problem-solving skills: Ability to simplify and breakdown complex technical and business challenges to create innovative and practical solutions. 
• Team management: Experience in guiding teams to deliver high-impact solutions. 
• Continuous learning: Ability to learn quickly and apply new technologies to solve problems practically. 

Education & Experience

• Master’s or PhD in AI/ML or a related field
• At least 6+ years of experience building software or AI systems, including 1–3 years working with LLMs, generative AI, or AI agent architectures.

Why Us? 

• An excellent workplace culture 
• Competitive salary 
• Company performance-related bonus
• Medical insurance 
• Flexible working hours 
• Educational assistance 
• In-house soft skills training 

Who We Are

We are a values-driven organization that encourages our employees to bring their authentic selves to work every day and empowers everyone to make a tangible impact on our products, clients, and culture. We offer a dynamic environment with driven, fun, and flexible individuals who thrive on challenge and responsibility. This is an opportunity to contribute to our culture and join a company that’s on the move.

We live the Poppulo values each day, as they are key to everything we do.

• Bring Your Best Self
  We show up authentically, are self-aware and always strive to be better.
• See it. Own it. Solve it.
  We proactively innovate and solve for our customers and each other. We set an example with high standards for our work. We foster a culture of learning, acknowledging our successes and our failures.
• Together We’re Better
  We value and celebrate our diversity. We learn from others, respecting their expertise, and focus on building trust. That's what makes us a team.

Named a Great Place to Work in 2015, 2016, 2017, 2018, 2019, 2020, and 2021, we are a fast-growing global technology company, with offices in Ireland, the US, the UK and India.

Poppulo is an equal opportunity employer.

We are committed to protecting your privacy. For details on how we collect, use, and protect your personal information, please refer to our Job Applicant Privacy Policy.

At Reltio®, we believe data should fuel business success. Reltio’s AI-powered data unification and management capabilities—encompassing entity resolution, multi-domain master data management (MDM), and data products—transform siloed data from disparate sources into unified, trusted, and interoperable data. Reltio Data Cloud™ delivers interoperable data where and when it's needed, empowering data and analytics leaders with unparalleled business responsiveness. Leading enterprise brands—across multiple industries around the globe—rely on our award-winning data unification and cloud-native MDM capabilities to improve efficiency, manage risk and drive growth.

At Reltio, our values guide everything we do. With an unyielding commitment to prioritizing our “Customer First”, we strive to ensure their success. We embrace our differences and are “Better Together” as One Reltio. We are always looking to “Simplify and Share” our knowledge when we collaborate to remove obstacles for each other. We hold ourselves accountable for our actions and outcomes and strive for excellence. We “Own It”. Every day, we innovate and evolve, so that today is “Always Better Than Yesterday”. If you share and embody these values, we invite you to join our team at Reltio and contribute to our mission of excellence.

Reltio has earned numerous awards and top rankings for our technology, our culture and our people. Reltio was founded on a distributed workforce and offers flexible work arrangements to help our people manage their personal and professional lives. If you’re ready to work on unrivaled technology where your desire to be part of a collaborative team is met with a laser-focused mission to enable digital transformation with connected data, let’s talk!

About the Role

We are seeking a Senior Backend Engineer with a strong foundation in Java, solid Python capabilities, and hands-on experience building Agentic AI applications that integrate with Large Language Models (LLMs). This role blends traditional backend engineering expertise with next-generation AI agentic systems development, requiring not just system design skills, but also creativity in prompt engineering, AI product development and working with data-rich environments.

You will contribute to the design and implementation of intelligent backend services that coordinate LLMs, agents, and data workflows to support enterprise-grade agentic systems.

Key Responsibilities

• Develop robust, scalable Java/Python based backend systems that enable the orchestration of Agentic AI workflows.
• Develop state-of-the-art AI/ML models for solving real-world data management challenges such as entity resolution, classification, similarity matching, and anomaly detection.
• Integrate LLMs (e.g., OpenAI, Mistral, Claude, LLaMA) into backend pipelines to power autonomous or semi-autonomous decision-making.
• Develop scalable ML workflows using Spark, MLlib, PyTorch, TensorFlow, or MLFlow, with seamless integration into production systems.
• Translate business needs into technical design and collaborate with data scientists, product managers, and platform engineers to operationalize models.
• Work closely with various stakeholders to design agent architectures and LLM toolchains (using frameworks like LangGraph, Crew AI, AutoGen, etc.).
• Implement services and APIs that manage prompt chaining, tool invocation, and contextual memory for agents.
• Collaborate with data engineers to ensure clean, efficient, and real-time access to structured and semi-structured data.
• Apply prompt engineering best practices to improve agent behavior, task accuracy, and adaptability.
• Monitor and optimize service performance, reliability, and scalability in production environments.
• Continuously monitor and improve model performance using feedback loops, A/B testing, drift detection, and retraining strategies.
• Contribute to code reviews, mentoring, and best practices for hybrid backend/AI development.

Required Qualifications

• 5+ years of overall experience in backend engineering, with strong proficiency in Java for scalable, distributed systems.
• 2+ years of experience in developing and deploying machine learning models and AI products in production environments.
• Experience in Agentic AI systems development using tools such as LangGraph, Crew AI, AutoGen, or similar.
• Proficiency in Python (NumPy, scikit-learn, pandas, PyTorch/TensorFlow) and experience with large-scale data processing tools (Spark, Kafka, Airflow).
• Experience integrating or orchestrating LLMs within business workflows or intelligent assistants.
• Solid understanding of prompt engineering techniques (e.g., system messages, chaining, tool invocation prompts).
• Familiarity with data engineering concepts, including pipelines, data models, and ETL workflows.
• Strong grasp of object-oriented design, data structures, and algorithms.

Preferred Qualifications

• Experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex, RAG pipelines).
• Background in building microservices or backend systems for data-rich AI/ML platforms.
• Experience with vector databases, embedding services, or semantic search integration.
• Knowledge of cloud platforms (AWS, GCP, or Azure), containerization (Docker), and DevOps best practices.
• Experience in developing LLM-powered agents, copilots, or task bots.

What We Offer

• Opportunity to work on cutting-edge backend and AI systems, including agentic automation and LLM innovation.
• A flexible hybrid work model in our Bangalore office.
• Competitive compensation with performance-based rewards.
• A culture that promotes engineering excellence, experimentation, and growth.Access to learning platforms, technical workshops, and industry-leading AI research.

Why Join Reltio?*

• Health & Wellness:
  • Comprehensive Group medical insurance including your parents with additional top-up options.
  • Accidental Insurance
  • Life insurance
  • Free online unlimited doctor consultations
  • An Employee Assistance Program (EAP)
• Work-Life Balance:
  • 36 annual leaves, which includes Sick leaves – 18, Earned Leaves - 18
  • 26 weeks of maternity leave, 15 days of paternity leave
  • Very unique to Reltio - 01 week of additional off as recharge week every year globally
• Support for home office setup:
  • Home office setup allowance.
• Stay Connected, Work Flexibly: Mobile & Internet Reimbursement
• No need to pack a lunch—we’ve got you covered with a free meal.And many more…..

Introduction:

Are you searching for an opportunity to play a key role in driving the dramatic growth of a highly successful software company? 

At Poppulo, we’re working on what’s next in communications and workplace technology. As a pioneer in this industry, we understand that meaningfully reaching every employee is hard. And so is managing office space in a hybrid world. And so is improving the customer and guest experience. We exist to make each of these things easier. We exist to bring harmony to our customers. 

And we do that at enterprise scale. Our omnichannel employee communications, customer communications, and workplace experience platform is trusted by over 6,000 organizations today, reaching more than 35M employees and delivering content to 500,000+ digital signs.

We know there’s no such thing as a “perfect" candidate - we’re all a work in progress and are growing new skills and capabilities all the time. We encourage you to apply for a position with Poppulo even if you don’t meet 100% of the requirements. We believe in fostering an environment where there is a diversity of perspectives, in hopes that we can all thrive. 

The Opportunity

We are looking for a Sr. Machine Learning (ML) Engineer with a strong sense of ownership. If you are an ML practitioner who thrives in an environment where innovation meets practical application to build disruptive products, this role is for you. 

At Poppulo, we intend to redefine boundaries and reshape Employee Communications and Digital Signage through the power of cutting-edge machine learning and AI. We are not just building products; we are disrupting the status-quo with transformative solutions that challenge conventional thinking, create competitive edge and create new market opportunities. 

This role is pivotal to the success of our AI team. It is the backbone of our ML initiatives. This role bridges the gap between research and production by leveraging cutting-edge AI technology into leading, world-class solutions.  

As a Sr. Full-Stack Machine Learning (ML) Engineer, you be the key driver for innovative problem solving by combining technical excellence with creative application of ML. Your expertise will be crucial in uncovering hidden opportunities within product ideas, including the design and deployment of agentic AI systems that can reason, plan, and act autonomously within real-world product constraints. Additionally, you will stay at the forefront of emerging technologies, continuously evaluating new AI/ML frameworks, tools, and best practices to help guide the evolution of our software solutions. 

Key Responsibilities

• Own end-to-end delivery of AI features across model, backend, APIs, UI integration, deployment, monitoring, and iteration in production
• Solve complex challenges with AI/ML: Design, develop new AI-powered products that deliver the product roadmap, including agentic AI solutions that orchestrate LLMs, tools, and workflows to solve multi-step problems autonomously.
• Implement ML lifecycle - from data engineering and model development to cloud-based deployment, integrations and operationalisation. Incl. MLOps 
• Productionise full-stack AI/ML solutions: Translate emerging techs like GenAI& agenticAI architectures into innovative, practical solutions that transform customer experiences. 
• Align with Product Strategy: Create proof of concepts at high cadence to demonstrate/validate potential solutions as per our product strategy. 
• Optimise Model and system performance: Fine-tune, optimise training and inference performances, including latency, cost, and reliability trade-offs in agent-based and LLM-driven systems.
• Wider collaboration: Partner with cross-functional teams to demonstrate and validate the impact of ML innovations before introducing them into the product ecosystem. 
• Research Savvy: Staying up-to-date with SOTA and industry trends in AI/ML, with a strong awareness of advances in agentic systems, autonomous workflows, and multi-agent architectures. 

Technical Skills / Competencies  

• Strong AI/ML background: Expertise in designing, building and deploying real-world ML applications (Computer Vision, Classification, etc.) 
• Strong foundation in GenAI: Deep understanding of generative models (LLMs, etc.), AI Agents, prompt engineering RAG, vector databases. 
• Technical Expertise: Proficiency in ML/GenAI frameworks, databases, shell scripts and programming languages, including frameworks and tools commonly used for building and orchestrating AI agents.
• MLOps expertise: Hands-on experience in setting up MLOps on AWS, Azure and GCP. 
• Full-stack expertise: Proficiency in data pipelines, distributed systems, APIs, web front-end, mobile apps, automated testing and cloud platforms (AWS, GCP, etc.). 
• Exceptional problem-solving skills: Ability to simplify and breakdown complex technical and business challenges to create innovative and practical solutions. 
• Team management: Experience in guiding teams to deliver high-impact solutions. 
• Continuous learning: Ability to learn quickly and apply new technologies to solve problems practically. 

Education & Experience

• Master’s or PhD in AI/ML or a related field
• At least 6+ years of experience building software or AI systems, including 1–3 years working with LLMs, generative AI, or AI agent architectures.

Why Us? 

• An excellent workplace culture 
• Competitive salary 
• Company performance-related bonus
• Medical insurance 
• Flexible working hours 
• Educational assistance 
• In-house soft skills training 

Who We Are

We are a values-driven organization that encourages our employees to bring their authentic selves to work every day and empowers everyone to make a tangible impact on our products, clients, and culture. We offer a dynamic environment with driven, fun, and flexible individuals who thrive on challenge and responsibility. This is an opportunity to contribute to our culture and join a company that’s on the move.

We live the Poppulo values each day, as they are key to everything we do.

• Bring Your Best Self
  We show up authentically, are self-aware and always strive to be better.
• See it. Own it. Solve it.
  We proactively innovate and solve for our customers and each other. We set an example with high standards for our work. We foster a culture of learning, acknowledging our successes and our failures.
• Together We’re Better
  We value and celebrate our diversity. We learn from others, respecting their expertise, and focus on building trust. That's what makes us a team.

Named a Great Place to Work in 2015, 2016, 2017, 2018, 2019, 2020, and 2021, we are a fast-growing global technology company, with offices in Ireland, the US, the UK and India.

Poppulo is an equal opportunity employer.

We are committed to protecting your privacy. For details on how we collect, use, and protect your personal information, please refer to our Job Applicant Privacy Policy.

Design at Ethos

Design at Ethos plays a meaningful role in shaping our product and customer experience end-to-end. We work cross-functionally to solve hard problems, build products that matter, and raise the bar for craft in a highly regulated, decision-heavy domain. You'll help define how design gets made at Ethos as we grow, including how we adopt AI as a core part of the craft.

About the Role

We're looking for Ethos' first Staff Design Systems Designer to build the foundations that let designers, PMs, and engineers reliably produce on-brand, accessible, high-quality UI, — and to stand up the prompt-to-production pipeline that turns those outputs into shipped products.

This is a true 0→1 opportunity. Ethos is not yet "design-system mature," and we're deliberately building it in an AI-native way rather than retrofitting later. 

You'll partner closely with Product Design, Engineering, Brand/Creative, Content Design, and our AI tooling efforts to build a system where Figma, Cursor / Claude Code, and Storybook form one coherent pipeline — with the right human checkpoints in the loop.

Duties and Responsibilities

Audit, Architect & Plan

• Audit the current product UI and existing design artifacts; identify the highest-leverage opportunities to standardize, consolidate, and reduce inconsistency.
• Define the information architecture of the system itself — naming, taxonomy, component hierarchy, and documentation structure — so that both humans and AI agents can find, reason about, and correctly apply the right primitives.
• Create a concrete step-by-step plan by partnering with design, engineering, and leadership, to correctly prioritize pieces of this effort, balancing long-term scalability with near-term product needs. 

Design-to-Code Integration

• Define and ship a scalable token strategy (color, typography, spacing, elevation, motion) with a pipeline that keeps Figma variables, code tokens, and Storybook in sync.
• Partner with Front-End engineers to translate the system into reusable, well-architected components with clear APIs, states, and accessibility built in.
• Own the component lifecycle end-to-end: versioning, release notes, deprecations, and handoffs.

Adoption & Enablement

• Build a lightweight, builder-friendly contribution process — designers, engineers, and PMs should be able to propose, review, and add to the system without a heavy governance tax.
• Create documentation that people (and agents) actually use: guidelines, do/don't examples, usage rationale, and decision records, structured so they're machine-readable as well as human-readable.
• Drive pragmatic adoption: start where it matters most, ship iteratively, and build credibility through visible product impact.

AI Enablement & Prompt-to-Production

This is the throughline across the three areas above. You won't build this alone, but you'll set the design foundations that make it work.

• Design system AI integration and maintenance: Define how AI agents help audit, tag, and maintain the system's structure — and where human review gates belong (naming decisions, deprecations, new pattern introductions).
• Design-to-code (with a human in the loop): Shape the pipeline that takes a Figma frame or a PM's prompt through Cursor / Claude Code into Storybook-validated components, including the review checkpoints that keep quality, accessibility, and brand integrity intact.
• Adoption in the AI canvas: Make the system legible to agents. Ensure components, tokens, and patterns are documented, named, and structured so that when a designer or PM prompts an agent to "build the post-intent screen," the agent reaches for the right primitives and produces something shippable — not something that needs to be rebuilt.

Measurement & Iteration

• Define what success looks like and track meaningful signals: adoption, UI consistency, design/dev cycle time, accessibility improvements, and the quality of AI-generated output against the system.
• Partner with Research and Data where useful to connect system changes to product outcomes (quality, user confidence, conversion efficiency).

Qualifications and Skills:

Must-have

• Has owned a design system end-to-end at a product company, including the organizational work of getting it adopted — not just the design artifact.
• Deep fluency with design-to-code integration: tokens pipelines, component APIs, versioning, and keeping design and code in sync in practice (not just in theory).
• Track record of driving adoption through pragmatic, builder-friendly processes rather than heavyweight governance.
• Strong working knowledge of modern front-end concepts (tokens, components, states, responsive behavior) and comfort collaborating closely with engineers on tradeoffs.
• Experience setting accessibility standards and shipping accessible components (WCAG-informed practices, inclusive design thinking).
• Genuine curiosity and hands-on experience with AI-assisted design and development workflows — you've used tools like Cursor, Claude Code, or equivalent, and have a point of view on where humans need to stay in the loop.
• Sets direction for peers and partner teams. Comfortable making opinionated calls on ambiguous tradeoffs (governance vs. speed, system purity vs. product reality, human review vs. agent autonomy) and defending them with evidence.
• Ability to thrive in ambiguity and build structure where it doesn't yet exist — pragmatic, opinionated, iterative.
• Clear communicator who can align diverse stakeholders and influence without formal authority.

Nice-to-have

• Strong visual and interaction craft in Figma (component architecture, scalable patterns, high-quality specs). We value this, but the role's center of gravity is organization, integration, adoption, and AI enablement — not pixel-pushing.
• Experience with Storybook or similar component documentation environments.
• Experience with video, motion, illustration/iconography, or tone systems.
• Prior experience shaping AI agent workflows, prompt scaffolding, or evals for design/front-end outputs.

#LI-Hybrid
#LI-NG1

About the role:

We’re looking for a highly adaptable, conversion-focused Senior Marketing Designer who will also help lead and mentor a small team of designers based in India. In this hybrid role, you’ll spend the majority of your time (70%) driving high-impact creative work across key marketing channels, while dedicating part of your time (30%) to overseeing, mentoring, and supporting the India design team to ensure quality, alignment, and growth.

As an individual contributor, you’ll bring our brand to life across email, paid/organic social, affiliate, decks, landing pages, and animation—with a strong focus on supporting our Partnerships business. This means designing thoughtfully for the agents who sell life insurance, creating clear, compelling materials that help them understand our products, communicate value, and succeed in their role. You’ll balance this agent-first work with consumer-facing creative, adapting your design approach to different audiences and goals.

As a design manager, you’ll act as both a mentor and a quality gatekeeper. You’ll use your strong taste level to provide precise, actionable feedback, guiding designers toward sharper, more strategic work. You’ll help set priorities, manage daily workflows, and collaborate cross-functionally with marketing, growth, and product stakeholders. You’ll also be deeply detail-oriented—reviewing and QA’ing email proofs daily to ensure accuracy, brand alignment, and design excellence. Above all, you’ll create an environment where designers can grow their craft while consistently delivering high-quality work.

This is a role for someone who thrives in fast-moving environments, takes full ownership from concept to execution, and is energized by both hands-on design and supporting the success of others. You’ll work closely with marketers, writers, and channel stakeholders to deeply understand what’s needed—then deliver smart, polished solutions that are both on-brand and built to perform. 

Duties and Responsibilities:

Individual Contributor (70%)

• Design a high volume of performance-driven marketing content, from concept to execution—including email campaigns, social media ads, landing pages, affiliate creative, decks, digital ads, company material, and animations.
• Apply and evolve the Ethos brand across key marketing channels, ensuring every touchpoint—email, lifecycle, social, advertising, landing pages, and events—feels consistent, elevated, and strategically tailored to its audience and platform.
• Bring animation and motion design into the marketing toolkit, helping add energy, clarity, and polish across digital surfaces.
• Adapt seamlessly between Consumer-facing and Partner (agent) creative, understanding the nuances of each audience and collaborating with different internal teams to deliver effective, on-brand work that supports distinct goals and messaging strategies.
• Support creative for new product launches and evolving product lines, designing assets that clearly communicate value, drive engagement, and align with go-to-market strategy across various product types and customer segments.
• Partner closely with marketing, growth, and product design teams to craft compelling visual stories through thoughtful use of iconography, typography, photography, animation, and infographics.
• Take initiative in shaping strategic design direction, proactively pitching and executing ideas that align with business objectives and enhance the user experience.
• Lead high-impact projects from brief through execution in a fast-paced, dynamic environment—balancing speed, quality, and adaptability.

Design Management (30%)

• Provide clear, actionable creative direction to the India-based design team, leveraging a strong taste level and sharp design eye to guide work toward higher craft, clarity, and performance.
• Deliver specific, detailed feedback that not only improves design output but also helps team members grow their own ability to think strategically and execute at a high standard.
• Oversee daily workflows and prioritization, ensuring the team focuses on the most impactful projects and delivers work on time and to spec.
• Review and QA email proofs daily, meticulously checking for accuracy, brand consistency, design quality, and production readiness.
• Ensure consistency and excellence in design quality, upholding brand standards while adapting to different audiences (consumer vs. agent/partnership).
• Mentor designers one-on-one, helping them sharpen their design thinking, grow confidence, and expand their skills.
• Collaborate cross-functionally with marketing, growth, product, and partnerships stakeholders—helping translate business needs into clear design direction for the team.
• Act as the bridge between the U.S. and India design teams, ensuring smooth communication, alignment, and knowledge sharing across time zones.

Qualifications and Skills: 

• 6–8 years of experience in marketing design, with a portfolio that demonstrates strong conceptual thinking, visual craft, and performance-driven work
• Exceptional design taste level with a sharp eye for detail, craft, and consistency across brand systems and marketing channels.
• Proven ability to give precise, actionable feedback and direction, helping elevate design quality while coaching others toward stronger outcomes.
• Expertise in Figma and Adobe Creative Suite; proficiency with motion design or animation
• Deep understanding of marketing funnels, audience segmentation, and channel best practices
• Strong communication skills—both written and verbal—with an ability to clearly explain design decisions
• Proven experience designing conversion-oriented marketing materials that balance craft and performance
• Demonstrated ability to lead design projects end-to-end—from insights and ideation to execution and iteration
• Skilled in storytelling, visual hierarchy, and audience-first thinking—able to clearly communicate complex ideas with clarity and impact
• Comfortable working across multiple product types and audiences (e.g., Consumer and Partner/Agent), and quickly shifting between different brand voices and goals
• Experience collaborating cross-functionally with marketing, growth, and product teams, building strong relationships and aligning creative to broader business strategies
• Thrives in a fast-paced, feedback-rich environment with shifting priorities and evolving goals
• Highly organized and self-directed; able to manage multiple projects simultaneously, meet deadlines, and adapt quickly
• Extremely detail-oriented, with proven experience in quality assurance review of digital creative (especially email proofs).
• Receptive to feedback and collaborative in an iterative design process
• Experience in DTC, fintech, or financial services industries preferred

#LI-KP1

#LI-Hybrid

About the Role:

As a Customer  Experience Associate at Ethos you will be responsible for delivering an exceptional experience to both new and existing customer/ insurance agents who refer business to Ethos. To succeed in this role, you should have a relentless focus on the customer, strong attention to detail and problem solving skills, and exceptional communication skills.  Ethos is looking for a Customer Support Associate who thrives on helping customers and solving problems as well as working in a dynamic environment. Creating a positive customer experience is of the utmost importance to Ethos and will continue to determine our success in the life insurance industry.

Duties and Responsibilities:

• Ensure accuracy in information being communicated to agents, especially when it comes to policy status and the agent’s compensation
• Become efficient in systems dealing with both consumer policy information as well as partner agent systems
• Able to understand and communicate complex agent payments and contract details.
• Provide excellent service via email, live chat, SMS, and phone, and providing answers to incoming inquiries relating the partner insurance agent and their business 
• Develop strong understanding and knowledge of Ethos products and processes in order to support customers/agents and act as a resource for partnership account managers 
• Identify customer/agent needs and process requests efficiently and effectively within defined service levels
• Build rapport and gain the respect of agents through clear and transparent communication
• Meet individual and customer support team goals and objectives
• Identify opportunities for process improvements for assigned functions, collaborating with management to implement agreed upon solutions

Qualifications and Skills: 

• 1- 3 years experience in customer support, customer success, operations, or related role
• Experience in life insurance or related industry a plus, but not required 
• Very detail oriented, especially while working with agent compensation and contract details
• Bachelor’s degree preferred
• Proficiency working with Salesforce or equivalent support/help desk software preferred, but not required
• Strong intellectual curiosity and drive to solve problems 
• Excellent time management , highly organised and prioritization necessary to balance all responsibilities 
• Possess grit and can adapt to changes quickly
• Adaptable to change and ability to change tasks quickly with maintaining attention to detail 

#LI-Onsite

#LI-ND1

About Zuora

At Zuora, we help businesses grow smarter and adapt faster. Our platform powers modern business models — from subscriptions and usage-based pricing to AI-driven and outcome-based offerings — helping companies launch new products, automate complex billing, and unlock predictable, recurring revenue.

We’ve led the Subscription Economy for more than a decade. Now we’re evolving again by building the definitive platform for quote to cash and helping companies monetize their products and services with an adaptable, AI-ready foundation.

The Opportunity

Zuora is re-architecting CPQ for the next generation—moving beyond traditional configuration and pricing into AI-driven, agentic quoting systems that directly impact revenue growth and deal velocity. This role sits at the center of that shift, driving the core CPQ platform (DealDesk + pricing foundations) while unlocking high-leverage capabilities like agent-assisted quoting and pricing optimization (CPQ-x).

You’ll tackle hard problems at the intersection of distributed systems, pricing complexity, and applied AI—from building scalable pricing engines to embedding intelligent agents into quote workflows. You’ll define and deliver the technical foundation for agentic quoting, de-risk critical GTM and product gaps, and shape how Zuora monetizes AI to drive measurable pricing uplift and sales efficiency.

About You

You’ll be successful in this role if you can own complex systems end-to-end and translate ambiguity into scalable, production-grade platforms. You’re equally comfortable going deep on architecture (e.g., pricing engines, distributed systems) and driving alignment across product, GTM, and data teams to ship high-impact capabilities.

You may be a great fit if you:

* Have significant experience leading backend/platform engineering teams building large-scale SaaS systems (CPQ, billing, pricing, or similarly complex domains).

* Are strong at system design, technical judgment, and organizational leadership—able to make clear tradeoffs between flexibility, correctness, and scale.

* Can bridge deterministic systems and AI-driven approaches, knowing when to apply rules vs ML/LLMs to solve real business problems.

* Thrive in environments where requirements are complex and evolving, and where you’re expected to drive both long-term architecture and near-term execution.

* Bring a track record of delivering high-impact platforms—e.g., scaling pricing systems, simplifying complex workflows, or embedding new capabilities (like AI) into core products.

* Are effective at driving cross-functional outcomes, especially across Product, Data/ML, and GTM teams.

⸻

Nice to Have

* Experience with CPQ platforms (Salesforce CPQ, Zuora CPQ, Apttus)

* Background in subscription or usage-based pricing models

* Familiarity with LLM patterns (RAG, embeddings) or production ML systems

* Experience integrating with CRM/ERP systems or financial platforms

About the Team

The CPQ Engineering team owns the systems that sit at the center of Zuora’s revenue engine—powering how deals are configured, priced, and transacted across the Subscription Economy. The team is responsible for building scalable, high-correctness platforms that connect CRM, billing, and downstream financial systems.

We work closely with Product, Data/ML, Sales/GTM, and Finance teams to ensure pricing and quoting workflows are both flexible and operationally sound. This includes deep collaboration on DealDesk workflows, pricing strategy, and embedding AI-driven capabilities directly into sales and quoting processes.

The team operates as a distributed engineering organization, with a strong bias toward design-first development, async collaboration, and clear technical ownership. Decisions are driven by data, system constraints, and long-term maintainability rather than short-term patches.

Engineers on this team gain exposure to core revenue systems, AI-driven product innovation, and cross-functional problem solving, with opportunities to expand scope across CPQ, Billing, and broader platform architecture while developing as technical and organizational leaders.

Benefits

Zuora offers a comprehensive total rewards package designed to support ZEOs’ wellbeing, growth, and flexibility. While specific offerings may vary by country, we typically provide:

• Competitive compensation, variable bonus and performance-based reward opportunities, and retirement programs
• Medical Insurance
• Generous, flexible time off, plus paid holidays, wellness days, and a company-wide year-end break
• Paid parental leave (including fully paid leave for eligible ZEOs, subject to local policy)
• Learning & development stipend to support ongoing growth
• Opportunities to volunteer and give back, including charitable donation matching where available
• Mental wellbeing resources and support

*Benefits may vary by location; details will be shared during the interview process

#ZEOLife at Zuora

ZEOs (our employees) are empowered to take ownership, challenge the status quo, and make a real impact. We:

• Collaborate deeply across teams and regions
• Learn constantly and iterate often
• Build an inclusive, high-performance culture where people feel inspired, connected, and valued

Our Commitment to an Inclusive Workplace

Think, be and do you.
At Zuora, different perspectives, experiences, and contributions matter — everyone counts.

Zuora is proud to be an Equal Opportunity Employer committed to creating an inclusive environment for all. We do not discriminate on the basis of, and consider individuals seeking employment with Zuora without regard to, race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.

We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us by sending an email to assistance@zuora.com (or local equivalent, where applicable).

Technical Product Manager, Innovation: Role Overview

Role Summary

JazzX is building AI-native digital workers that operate with institutional intelligence—governed, explainable, and continuously improving in real production environments. As JazzX expands beyond residential mortgage into new high-stakes domains (e.g., commercial lending, insurance, and adjacent verticals), the ability to rapidly stand up domain-specific solutions is a critical growth lever.

The Technical Product Manager, Innovation is a foundational product role responsible for accelerating JazzX’s reach into new verticals. This TPM will create reusable solutions as well as solution accelerators (e.g. workflow templates, policy and controls packs, ontologies, integration patterns, agent configurations, evaluation harnesses, etc.), and demo-ready reference implementations—that compress time-to-value across commercial lending, insurance, and future domains.

This is a hybrid builder-deployer role. You will combine deep product thinking with hands-on customer engagement—at times, working directly within customer organizations to implement JazzX solutions in production. Every deployment strengthens the accelerator library and platform, so the next one is faster, cheaper, and better. Think part technical product manager and part solutions architect—with the strategic judgment to shape what JazzX builds next based on what you learn in the field.

This is a 0 → 1 → scale role: hands-on execution early, then systematizing what works into playbooks, templates, and reusable platform capabilities.

Core Profile: What We Need

0 → 1 Builder With Systems Thinking (Startup DNA, High Ownership)

Thrives in ambiguity and can go from blank page to shipped solution fast—then turn one-off success into a repeatable template that scales across customers and verticals. You build the “factory,” not just the first widget. Balances speed with enterprise-grade quality in high-stakes environments.

Technical Product Leader (Strong Engineering Surface Area)

Comfortable going deep on APIs, AI & data models, integrations, permissions, system boundaries, and deployment constraints. Able to partner as a technical peer to Engineering: clarify tradeoffs, shape architecture decisions, and keep execution unblocked. Writes crisp technical specs, defines interfaces, validates edge cases, and understands what it takes to ship production-grade software. Strong instincts around instrumentation, telemetry, reliability, and operational workflows.

Solution Accelerator & Template Architect (Reuse as a First-Class Goal)

Thinks in modular building blocks: repeatable workflow patterns, configurable policies, reusable connectors, reference ontologies, evaluation harnesses, and deployable blueprints. Can distinguish what should be productized in the core platform vs. what should live as a domain package or configuration layer. Obsessed with repeatability and scale—every implementation should make the next one faster.

AI-Native Product Thinking

Experience building AI-powered workflows where systems complete consequential work and humans supervise outcomes. Comfortable with concepts like:

• Human-in-the-loop controls and escalation
• Explainability, confidence signaling, and audit trails
• Exception handling, recoverability, and safe automation
• Task orchestration, tool/function calling, guardrails, and continuous improvement loops

Domain Agility Across Regulated Enterprises

Prior experience in one or more regulated verticals such as Lending and/or Insurance is strongly preferred—but rapid learning and structured problem-solving are the true requirements.

Customer-Embedded Deployment Mindset (Production-Oriented Delivery)

Comfortable working directly with customer stakeholders (business and technical) to translate needs into shipped, measurable outcomes. Can operate effectively inside customer constraints: legacy systems, security reviews, data quality issues, governance, and change management. Treats adoption and measurable ROI as the job, not a downstream concern.

Clear Communicator & Cross-Functional Driver

Able to produce crisp product specs, workflow diagrams, decision logs, and rollout plans. Can lead alignment across Product, Engineering, UX, Solutions/Delivery, and GTM. Synthesizes field observations into clear, actionable product insights—serving as the critical bridge between customer reality and JazzX’s product roadmap.

Role Scope: What This Leader Will Drive

1. Identify and Prioritize New-Domain Solution Requirements

• Conduct deep domain immersion for each new vertical: understand the regulatory landscape, key personas, decision workflows, data requirements, and competitive dynamics
• Map the highest-leverage workflows and “thin slices” that prove value quickly in each segment
• Define segment-specific solution roadmaps (e.g., commercial lending sub-products; insurance lines/workflows) with clear value theses and measurable outcomes
• Conduct competitive analysis to understand how incumbents serve each segment and identify JazzX’s differentiated entry points

1. Build a Library of Templates & Solution Accelerators

Create reusable assets that materially shorten time-to-value, including:

• Workflow blueprints and reference architectures
• Configuration templates (policies, routing, exception paths, controls)
• Canonical data models and mapping guides
• Agent behavior configurations, prompt templates, and orchestration patterns
• Integration patterns/connectors and deployment checklists
• Evaluation and QA harnesses (golden datasets, regression tests, human review loops)
• Demo-ready “starter kits” that are real enough to become production

Package accelerators so they can be deployed repeatedly with predictable effort. Define what “good” looks like: measurable success criteria, instrumentation requirements, operational KPIs, and audit readiness.

1. Own End-to-End Customer Delivery for Selected Deployments

• Serve as JazzX’s forward-deployed technical partner within customer environments during initial solution rollouts
• Lead discovery, scoping, and solution design; map customer-specific workflows, data flows, and operational nuances; configure and adapt JazzX solutions accordingly
• Work alongside customer operations, IT, security, compliance, and business stakeholders to validate solution performance and drive adoption
• Ensure solutions move beyond pilots into production with reliability, governance, and measurable ROI built in
• Capture and productize learnings into the accelerator library—so every deployment makes the next one faster

1. Convert Workflow Reality Into Shippable Product Requirements

• Write detailed PRDs/specs that are precise on: user journeys, data/permission needs, integration contracts, edge cases, failure modes, and audit requirements
• Identify platform gaps exposed by new domain requirements and advocate for platform investments that increase cross-domain leverage
• Partner tightly with Engineering and UX to ship with high quality (including QA, release readiness, and instrumentation)
• Maintain a pragmatic backlog balancing domain accelerators, platform improvements, and customer-critical delivery needs

1. Ensure Trust, Governance, and Enterprise-Grade Controls

• Build patterns for explainability, auditability, supervision, and recoverability across all deployed solutions
• Define the human-in-the-loop controls: review, approve, intervene, escalate, and learn from expert judgment
• Partner with Security/Compliance stakeholders to meet customer requirements (roles/permissions, logs, data handling, policy enforcement)
• Design for enterprise reality: approvals, audit trails, governance, and integration into existing tools and operating rhythms

1. Establish Outcome Metrics and Continuous Improvement Loops

• Define success metrics per accelerator (time saved, throughput, error reduction, SLA adherence, audit readiness, user adoption)
• Ensure solutions are instrumented so JazzX can observe performance and iterate quickly
• Drive post-deployment iteration cycles that improve both the customer solution and the reusable template
• Maintain a domain knowledge base that enables future team members and customer success teams to deploy solutions independently

1. Enable Internal Teams & Support Go-to-Market

• Create internal documentation, demo flows, and enablement materials for Solutions, Sales, and Customer Success
• Partner with Marketing to develop domain-specific demos, proof-of-value frameworks, and customer-facing materials
• Contribute domain expertise to RFP responses, prospect conversations, and strategic partnership discussions
• Help build referenceable customer success stories with quantified outcomes from deployed solutions
• Represent JazzX’s domain expertise at industry events, conferences, and customer forums

Success Outcomes (First 12–18 Months)

Foundation & First Accelerators (0–6 Months)

• Deep domain immersion completed for at least two new verticals (e.g., commercial lending and insurance) with documented workflow maps, persona profiles, and opportunity assessments
• First set of new-domain use cases prioritized with clear ROI hypotheses and measurable success metrics
• 1–2 production-grade accelerators shipped (or in late-stage pilot) with documented templates, configuration patterns, and deployment checklists
• At least one customer-embedded deployment initiated with active workflow mapping and solution configuration underway
• Repeatable discovery-to-implementation workflow established (intake → spec → build → deploy → measure → templatize)

Expansion & Repeatability (6–12 Months)

• A growing library of accelerators spanning multiple segments within at least one new domain (e.g., multiple commercial lending sub-products or multiple insurance workflows)
• Time-to-value meaningfully reduced for subsequent deployments because templates, integration patterns, and evaluation harnesses are reusable
• At least two customer-embedded deployments delivering production value with quantified ROI outcomes
• Clear feedback loop from customer deployments into platform roadmap (what must be standardized vs. configured vs. left as customer-specific)

Scale & Platform Leverage (12–18 Months)

• A durable “solution factory” motion: new accelerators can be created and deployed predictably, without reinventing core patterns each time
• Deployment playbooks and domain knowledge base mature enough to enable other team members to execute deployments with decreasing direct involvement
• Multiple customer deployments leveraging the accelerator library with strong adoption and measurable outcomes
• Referenceable customer success stories across multiple domains with quantified business impact
• JazzX recognized by customers as enterprise-ready in new domains—due to governed operation, explainability, and real workflow embedding—not just a horizontal AI tool, but a solution that understands the business

Staff Solutions Engineer 
Location: Bengaluru, Karnataka (Hybrid) 

Role Overview 

As a Staff Solutions Engineer, you are a hands-on software engineer who leads customer engagements from a technical pod while remaining deeply involved in design and implementation. 

You will own the technical success of customer deployments built on JazzX’s AGI platform—leading architecture, implementation, and delivery while working directly with enterprise customers. This role is designed for engineers who enjoy building real systems, guiding other engineers, and taking accountability for outcomes in complex customer environments. 

It is a delivery-focused engineering leadership role that combines deep technical execution with customer-facing ownership. 

You will: 

• Lead customer engagements as the technical owner for a delivery pod. 

• Design and implement production-grade enterprise systems using JazzX’s platform. 

• Apply GenAI and LLM-based capabilities (e.g., RAG, agent workflows) as part of scalable, reliable solutions. 

• Partner with product, platform, and research teams across the full solution lifecycle. 

• Act as the primary technical escalation point for customer deployments. 

• Influence platform evolution by feeding real-world learnings back into reusable components and patterns. 

• Set a high engineering bar through hands-on contribution, design leadership, and mentorship. 

Key Responsibilities 

Hands-On Software Engineering 

• Write and review production-quality code across backend services, APIs, and orchestration layers. 

• Make architectural decisions balancing scalability, performance, security, and long-term maintainability. 

• Design and build robust integrations with multiple third-party systems using RESTful APIs, event-driven interfaces, and data pipelines in complex enterprise environments. 

• Ensure solutions meet production standards for reliability, observability, and operational readiness. 

Applied GenAI & Agentic Systems 

• Apply a strong understanding of LLM behavior, capabilities, and limitations to design reliable, production-ready systems. 

• Build and orchestrate agentic workflows that coordinate multiple steps, tools, and decision points to achieve complex goals. 

• Design prompt strategies, tool interfaces, and control flows that enable agents to reason, act, and recover from failures. 

• Integrate LLMs into larger software systems with clear boundaries, guardrails, and observability. 

• Evaluate and iterate on agent behavior using real-world signals such as correctness, latency, cost, and user outcomes. 

• Collaborate with platform and research teams to validate emerging agent frameworks and reasoning approaches in customer environments. 

Customer Delivery Leadership 

• Lead technical execution for customer POCs, pilots, and production rollouts. 

• Work closely with customer engineering and IT teams to integrate JazzX into existing enterprise ecosystems. 

• Troubleshoot complex integration, data, and system issues, owning resolution end-to-end. 

Staff-Level Impact 

• Lead and mentor engineers within the delivery pod, providing technical direction and feedback. 

• Establish and reinforce best practices for customer-facing engineering. 

• Turn customer insights into reusable architectures, templates, and delivery standards. 

Qualifications 

Must-Have 

• 9+ years of professional software engineering experience building and operating production systems. 

• Strong proficiency in Python with a proven track record of writing maintainable, well-tested code. 

• Experience designing and building backend services, APIs, and distributed systems. 

• Practical experience applying GenAI or LLM-based systems in real-world applications (e.g., RAG pipelines, agent workflows, LLM-backed services). 

• Experience leading or owning technical delivery for customer-facing projects. 

• Strong understanding of system reliability, observability, and operational best practices. 

• Excellent communication skills and ability to collaborate with engineering, product, and customer stakeholders. 

• Willingness to travel up to 20% for key customer engagements. 

Nice-to-Have 

• Experience delivering software in regulated or policy-heavy domains (e.g., finance, lending, healthcare, insurance). 

• Familiarity with vector databases, semantic search, or knowledge retrieval systems. 

• Experience contributing to shared libraries, internal platforms, or reusable engineering components. 

• Prior experience in a fast-paced startup or early-stage product environment. 

Attributes We Value 

• Hands-On Leadership: You lead by building, reviewing, and guiding—not by delegating everything. 

• Engineering Excellence: You care deeply about correctness, reliability, and long-term maintainability. 

• Customer Empathy: You understand enterprise constraints and design systems accordingly. 

• Ownership & Accountability: You take responsibility for outcomes, not just tasks. 

• Collaboration & Mentorship: You raise the bar for those around you. 

About SAI Group

SAI Group is a private investment firm dedicated to incubating and scaling AI-powered enterprise software companies. Our portfolio spans across rapidly growing businesses that serve over 2,000 global customers, generating nearly $600 million in annual revenue and employing over 4,000 individuals worldwide. As we continue to scale, we are focused on building world-class teams to drive our portfolio companies' success.

Role Overview:  

As a Research Engineer, you will be instrumental in exploring and establishing best practices for leveraging and extending novel Generative AI based technologies to develop groundbreaking solutions for enterprise use cases. This role offers a unique opportunity to delve into the rapidly evolving world of foundation models, AI agents, reasoning models etc. and contribute to the design and development of an innovative enterprise AI platform to deliver transformative, AI-enabled work experiences for enterprise users. 

What You Will Do 

Experimentation and Research: Systematically explore various technologies and strategies such as foundation models, agentic workflows, ontology and knowledge graphs, reinforcement learning, dynamic prompting, retrieval augmented generation, and collaborative problem solving to enhance our understanding and utilization of foundation models and related Generative AI frameworks. You will design and conduct experiments to probe the limits and capabilities of different foundation models, frameworks and their application strategies. 

Development and Analysis: Design experiments to understand the capabilities and limits of foundation models. Build tools necessary for conducting experiments, run these experiments, and meticulously analyze the results. Build on the quantitative and qualitative findings from these experiments to design future experiments and shape the architecture of our enterprise AGI platform. 

Prototyping and Innovation: Take charge of developing and refining prototypes for our platform. Your innovative approach will contribute to evolving our enterprise AGI platform in line with the latest advancements and insights gained from research activities. 

Requirements 

• Proven hands-on experience prototyping advanced deep technologies in AI/ML and shaping the evolution of platforms, products and user experiences. 
• Hands-on experience working with AI foundation models (LLMs, reasoning models etc.) to craft real-world applications.
• Comprehensive knowledge of the emerging AI ecosystem, including foundation model ecosystem (public and private models), agent frameworks, and tools.
• Experience with AI Agent frameworks such as LangChain, AutoGen, CrewAI, or similar technologies.
• Knowledge and/or experience with technologies like reinforcement learning and/or technologies like ontologies, knowledge graphs etc.  
• Ph.D/MS in AI/CS or related fields with a strong focus on AI/ML technologies.  
• At least 5 years of work experience in an applied AI science or AI engineering role within a science-driven product development context.
• Strong quantitative and qualitative analytical skills.
• A naturally curious mindset with a proactive approach to learning, experimenting, building, and prototyping.
• Eagerness to lead and influence the development of cutting-edge intelligent platforms. 

Why Join Us?

At SAI Group, you have the opportunity to become an integral part of a pioneering team that is pushing the envelope of AI capabilities to create an autonomous intelligence driven future. We champion bold innovation, continuous learning, and embrace the challenges and rewards of crafting something genuinely groundbreaking.

Your work will directly contribute to pioneering solutions that have the potential to transform industries and redefine how we interact with technology. As an early member of our team, your voice will be pivotal in steering the direction of our projects and culture, offering a unique chance to leave your mark on the future of AI.

We offer a competitive salary, equity options, and an attractive benefits package, including health, dental, and vision insurance, flexible working arrangements, and more.

We are an equal opportunity employer and celebrate diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

About SAI Group

SAI Group is a private investment firm that has committed $1 billion to incubate and scale revolutionary AI-powered enterprise software application companies. Our portfolio, a testament to our success, comprises rapidly growing AI companies that collectively cater to over 2,000+ major global customers, approaching $750 million in annual revenue, and employing a global workforce of over 4,000 individuals.

SAI Group invests in new ventures based on breakthrough AI-based products that have the potential to disrupt existing enterprise software markets. SAI Group’s latest investment, JazzX, is a pioneering technology company which is building a platform that will not only shape the future of enterprise AI applications but also offer practical solutions to real-world challenges.

Senior Software Engineer, JazzX (New AI Venture at SAI Group) 

Role Overview:  

As a Senior Software Development Engineer, you'll lead the design, development, and management of critical services and components of an innovative enterprise AI platform to deliver transformative, AI-enabled work experiences for enterprise users. You'll mentor junior engineers, collaborate with cross-functional teams, and drive towards building a cutting-edge enterprise AI platform that remains state of the art.  

Design and Build: 

• Craft and develop high-performance, scalable services and components for our enterprise AI platform using a cloud-first, cloud-agnostic approach with world class AI capabilities, scalability, security, privacy and operability.
• Champion innovative AI and software design patterns and best practices to ensure code maintainability, reusability, and testability.
• Contribute to the platform's technical direction by staying up to date on emerging AI technologies, cloud design patterns and user experience methodologies. 

Collaboration: 

• Work collaboratively within a cross-functional team (AI/research engineers, software engineers, architects, product managers, designers) to translate complex platform and product requirements into well-defined, scalable, and modular AI, software and infrastructure components.
• Foster a collaborative and inclusive environment by effectively communicating technical concepts and design decisions across diverse audiences.
• Provide mentorship and guidance to junior engineers, fostering their growth and development. 

Operational Excellence: 

• Own the seamless integration of developed components into the platform, ensuring efficient operation and high availability.
• Implement robust monitoring and alerting strategies to proactively identify and troubleshoot potential issues.
• Champion DevOps practices streamlining the software development lifecycle and delivery process. 

Requirements 

Experience:  

• Minimum of 5 years in designing, building, and operating cloud services, with proficiency in container and orchestration frameworks such as Docker and Kubernetes. Experience with common software defined infrastructure (infrastructure-as-code) frameworks to deploy and manage cloud environments. AI/ML/Data experience is strongly preferred. 

 Development Lifecycle:  

• Comprehensive hands-on experience in the full-stack development lifecycle, including design, prototyping, building, testing, deployment, and operations of enterprise platforms and products, preferably with AI/ML/data components. 

 Technical Skills:  

• Deep knowledge of essential software development skills and experience in more than 1 of the following languages: Java, JavaScript, Python, Golang, or C++.
• AI/ML Experience (Strongly Preferred): Prior experience in building and managing ML/AI platforms and services, including familiarity with MLOps lifecycle, frameworks, and tools. Familiarity with modern GenAI/LLM services, AI agent frameworks like LangChain, LlamaIndex is highly desired.  
• Growth Mindset: A naturally curious attitude with a proactive approach to learning, experimenting, building, operating, and improving the development of a cutting-edge intelligent platform. Flexible, learn-it-all attitude, encouraging sharing and collaborative growth in an intense and fun work environment. 

Why Join Us 

At JazzX AI, you have the opportunity to become an integral part of a pioneering team that is pushing the envelope of AI capabilities to create an autonomous intelligence driven future. We champion bold innovation, continuous learning, and embrace the challenges and rewards of crafting something genuinely groundbreaking.

Your work will directly contribute to pioneering solutions that have the potential to transform industries and redefine how we interact with technology. As an early member of our team, your voice will be pivotal in steering the direction of our projects and culture, offering a unique chance to leave your mark on the future of AI.

We offer a competitive salary, equity options, and an attractive benefits package, including health, dental, and vision insurance, flexible working arrangements, and more.

We are an equal opportunity employer and celebrate diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

• 15+ years of experience in software engineering, with 5+ years leading multiple teams.
• Strong background in distributed systems, databases, or large-scale cloud platforms.
• Deep Experience in Cloud Platforms - AWS, GCP, Azure
• Hands-on familiarity with Data and AI infrastructure concepts such as:
• Vector search and indexing
• Retrieval Augmented Generation (RAG)
• Embedding pipelines
• LLM and inference systems
• Agent architectures and memory systems
• Experience building and operating production SaaS services at scale.
• Deep understanding of performance engineering, reliability, and cost optimization in cloud environments.
• Experience in Go, Python or Java.

At Reltio®, we believe data should fuel business success. Reltio’s AI-powered data unification and management capabilities—encompassing entity resolution, multi-domain master data management (MDM), and data products—transform siloed data from disparate sources into unified, trusted, and interoperable data. Reltio Data Cloud™ delivers interoperable data where and when it's needed, empowering data and analytics leaders with unparalleled business responsiveness. Leading enterprise brands—across multiple industries around the globe—rely on our award-winning data unification and cloud-native MDM capabilities to improve efficiency, manage risk and drive growth.

At Reltio, our values guide everything we do. With an unyielding commitment to prioritizing our “Customer First”, we strive to ensure their success. We embrace our differences and are “Better Together” as One Reltio. We are always looking to “Simplify and Share” our knowledge when we collaborate to remove obstacles for each other. We hold ourselves accountable for our actions and outcomes and strive for excellence. We “Own It”. Every day, we innovate and evolve, so that today is “Always Better Than Yesterday”. If you share and embody these values, we invite you to join our team at Reltio and contribute to our mission of excellence.

Reltio has earned numerous awards and top rankings for our technology, our culture and our people. Reltio was founded on a distributed workforce and offers flexible work arrangements to help our people manage their personal and professional lives. If you’re ready to work on unrivaled technology where your desire to be part of a collaborative team is met with a laser-focused mission to enable digital transformation with connected data, let’s talk!

About the Role

We seek a hands-on AI Engineering Manager to lead R&D on LLM-based agentic workflows, data intelligence, and AI-first products. You'll guide a team of Data Scientists, ML Engineers, UI/Integration Engineers, and Quality Engineers—owning technical design, end-to-end execution, and delivery of agentic systems. This role blends engineering management with deep data science expertise, modern AI tooling, and agent orchestration. Drive the design, implementation, and production deployment of AI-native capabilities integrated with Reltio’s cloud-native data platform.

Key Responsibilities

• Deliver hands-on engineering management for an AI team of Data Scientists, ML Engineers, UI/Integration Engineers, and ML SDETs.
• Provide technical leadership, mentoring, and project oversight—scoping ML initiatives, allocating resources, and driving prototype → MVP → production with minimal handoffs.
• Own agentic AI systems that plan, reason, use tools/APIs, maintain memory/context, self-correct, and execute multi-step workflows autonomously.
• Design, implement, and productionize end-to-end RAG pipelines, balancing chunking, embeddings, indexing, latency, and cost.
• Lead foundation model pipelines for embedding generation, prompt engineering, and LLM-driven decisioning.
• Collaborate with Product, Engineering, and stakeholders to integrate agentic workflows using LangChain, Semantic Kernel, or custom orchestrators.
• Build/refine LLM/ML models for entity resolution, semantic search, matching, and data unification; identify automation opportunities for scalability.
• Design A/B experiments to evaluate agent responses, grounding, and quality; evolve memory architectures, vector search, and context management.
• Partner on integrations with enterprise APIs, backend systems, and cloud ML infra (e.g., AWS Bedrock).

Must have skill sets:

• Proven track record leading and motivating high-performing AI/ML teams in ambiguous, fast-paced environments.
• Deep hands-on experience building and productionizing agentic/multi-step AI workflows.
• Expertise in LLMs, RAG/retrieval architectures, foundation models (embeddings, transformers), vector search, semantic similarity, and prompt engineering.
• Strong product intuition: Translate business problems into scoped ML/LLM solutions with measurable user impact.
• Ownership of production ML code in Python, including cloud deployments (AWS Bedrock, SageMaker, Azure AI Studio).
• Experience with graph memory, MCP protocol (or equivalent), and knowledge reasoning engines.

Nice to have:

Hands-on experience with data governance, security best practices, MLOps and LLM observability.Track record contributing to enterprise-scale SaaS or AI/ML products.Familiarity with Kubernetes, containerized deployment, and scalable APIs.

Why Join Reltio?*

• Health & Wellness:
  • Comprehensive Group medical insurance including your parents with additional top-up options.
  • Accidental Insurance
  • Life insurance
  • Free online unlimited doctor consultations
  • An Employee Assistance Program (EAP)
• Work-Life Balance:
  • 36 annual leaves, which includes Sick leaves – 18, Earned Leaves - 18
  • 26 weeks of maternity leave, 15 days of paternity leave
  • Very unique to Reltio - 01 week of additional off as recharge week every year globally
• Support for home office setup:
  • Home office setup allowance.
• Stay Connected, Work Flexibly: Mobile & Internet Reimbursement
• No need to pack a lunch—we’ve got you covered with a free meal.And many more…..