Join Ema as a Principal Machine Learning EngineerEma is pioneering the future of AI technology, enabling every employee within enterprises to unlock their full creative and productive potential. Our cutting-edge platform allows businesses to assign repetitive tasks to Ema, the Universal AI Employee—a robust, secure, and intelligent collaborator that seamlessly integrates across various workflows and systems.Founded by seasoned professionals from Google, Coinbase, and Okta, and supported by prominent investors and angels, Ema is headquartered in Silicon Valley and Bangalore. We operate as a hybrid team, and we expect our team members to work from the office three days a week.Role Overview & Key ResponsibilitiesThis leadership role is pivotal and encompasses architecture, execution, and organizational development, driving the direction of our AI and ML initiatives at Ema. We are in search of a technical leader in AI and ML who can translate vision into reality. As a Principal ML Engineer, you will be instrumental in shaping the machine learning roadmap, designing large-scale ML systems, fostering innovation, and ensuring the accuracy and performance of our diverse models (including LLM, SLM, and Custom Models) at scale. You will work collaboratively across teams—ranging from research and product to infrastructure and data—while mentoring senior engineers and influencing strategic and executional decisions at the company-wide level.ResponsibilitiesGuide the technical strategy for GenAI and agentic ML systems that support enterprise-grade AI agents, covering reasoning, retrieval, tool utilization, and integration with various SaaS products.Design and implement scalable production pipelines for model training, fine-tuning, retrieval (RAG), agent orchestration, and evaluation, ensuring robustness, low latency, and continuous learning.Develop and manage a multi-year ML roadmap for GenAI infrastructure, including agent frameworks, RAG systems, evaluation loops, and integration with MCP, browser, and vision pipelines.Incorporate cutting-edge ML methodologies and research (such as deep learning, large models, recommender systems, and LLMs) into Ema’s products and infrastructure.Experiment with and integrate advanced ML and LLM innovations (e.g., reasoning, memory architectures, multi-modal perception, long-context models, and autonomous agents) into the platform.Balance trade-offs among accuracy, latency, cost, interpretability, and real-world reliability throughout the agent lifecycle, from prompt design to orchestration and execution.

About the RoleAt Ema, we are revolutionizing the concept of Agentic Business Transformation (ABT). We seek an innovative Product Marketing Lead who goes beyond merely managing product launches; you will design an immersive experience that showcases our AI Employees. Your mission will be to elevate Ema.ai into an engaging platform that captivates Fortune 500 CXOs, transitioning them from mere interest to full commitment. You will play a pivotal role in Ema's growth strategy, acting as the main liaison between Product and Go-To-Market (GTM) teams, utilizing our website as the premier "Product Showroom" and executing impactful, resource-rich launches that significantly contribute to our ambitious revenue targets.Your ResponsibilitiesCore Quad Leadership: Foster a collaborative partnership among Web Engineering, Design, Product, and Sales to deliver a “Monthly Drop” of innovative agentic capabilities.Website Experience Ownership: Manage the roadmap for the Ema website, collaborating with development teams to create interactive visualizations and product tours.Market Insights Advocate: Serve as the primary market voice for our Product Managers, translating competitive dynamics and insights from AI Strategists into actionable roadmap strategies.Technical Enablement Specialist: Collaborate with AI Strategists to craft the “Sales Pitch of the Future,” transforming complex agentic workflows into compelling narratives that empower sales teams to secure $1M+ deals.Prototyping and Vibe Coding: Utilize AI-first development tools to prototype the next generation of our web presence and product demonstrations.Your ProfileExtensive Experience: 10+ years in Product Marketing Management (PMM), Go-To-Market (GTM) strategy, and Product Consulting, with a proven record of scaling SaaS/AI/B2C companies from 10 to 100 employees. Strong communication skills honed in top-tier consulting environments.Product Enthusiast: Deeply knowledgeable about products and agentic AI, with the ability to communicate technical concepts effectively.Visual Storyteller: Exceptional standards for design and video quality.Dynamic Program Manager: Flourish in fast-paced, high-dependency environments.AI Proficient: Familiarity with tools like Lovable, Cursor, v0, or Claude for building and prototyping.Skilled Writer: Ability to translate complex technical language into clear, engaging content.

Who We AreEma is pioneering a revolutionary AI technology aimed at empowering every employee within the enterprise to unlock their full potential in creativity and productivity. Our proprietary technology enables companies to automate repetitive tasks, allowing their workforce to focus on more impactful work. Founded by former executives from Google, Coinbase, and Okta, as well as seasoned entrepreneurs, we have attracted investment from prominent backers including Accel Partners, Naspers, Section32, and renowned Silicon Valley Angels like Sheryl Sandberg, Divesh Makan, Jerry Yang, Dustin Moskovitz, David Baszucki, and Gokul Rajaram.Our team is a powerhouse of exceptional talent, featuring engineers from top tech giants like Google, Microsoft Research, Facebook, Square/Block, and Coinbase. Our members hail from prestigious institutions such as Stanford, MIT, UC Berkeley, CMU, and the Indian Institute of Technology. With robust funding from elite investors and angel backers, Ema operates from Silicon Valley and Bengaluru, India. This position offers a hybrid work model, requiring employees to work from the office three days a week.Who You AreWe seek innovative and passionate Machine Learning Engineers eager to join our dynamic team. You thrive on solving complex challenges, relish working with substantial datasets, and excel at transforming theoretical concepts into scalable practical solutions. As a collaborative team player, you also flourish in independent environments where your ideas can drive significant change. You are excited about leveraging machine learning techniques to explore the frontiers of Natural Language Processing, Information Retrieval, and related technologies. Most importantly, you are enthusiastic about contributing to a mission-driven, high-growth startup poised to make a lasting impact.Your ResponsibilitiesConceptualize, develop, and deploy machine learning models that serve as the backbone of our NLP, retrieval, ranking, reasoning, dialogue, and code-generation systems.Implement cutting-edge machine learning algorithms, including Transformer-based models, reinforcement learning, ensemble learning, and agent-based systems, to enhance the performance of our AI solutions.Lead the processing and analysis of large, complex datasets (structured, semi-structured, and unstructured) and utilize insights to refine our model development.Engage across the complete lifecycle of ML model development — from problem definition and data exploration to feature engineering and model evaluation.

About UsAt ema, we are pioneering the future of AI technology, focusing on enhancing enterprise efficiency through the automation of complex document workflows across various sectors. From creating tailored documents and automating data retrieval to facilitating intricate document processes like RFPs and audits, our AI-driven solutions are revolutionizing how companies handle repetitive tasks. Founded by industry veterans from Google, Coinbase, and Okta, ema operates as a stealth-mode startup, supported by elite investors and headquartered in Silicon Valley and Bengaluru.Position Overview & ResponsibilitiesWe are looking for a dynamic Engineering Leader to take charge of our Search platform. This pivotal role encompasses architecture, execution, and organizational development, influencing the strategic direction of our search technologies for the foreseeable future. Key responsibilities include:Lead the technical roadmap for the Search platform, focusing on:Core Search PlatformInternal integrations with application teamsPartnership integrationsOpen API specifications for data integrationDefine the roadmap for our Data Ingestion Platform, which facilitates secure data ingestion, transformation, and indexing from diverse sources such as documents, spreadsheets, emails, and SaaS applications.Oversee our Application Integration Platform, enabling seamless connections with hundreds of third-party APIs, empowering our agents to operate across various platforms including CRMs, ITSMs, and HRIS.Design and enhance our Search Platform, ensuring efficient data flow for search, reasoning, and generation tasks.Architect and implement the Ema’s Search Index.Collaborate on LLMOps infrastructure, influencing the development of thousands of transformations by external contributors.Ensure platform compatibility with various data formats (PDFs, spreadsheets, databases, charts, etc.) utilizing PostgreSQL, Elasticsearch, and other relevant technologies.

About UsEma is at the forefront of pioneering AI technology designed to empower every employee in the enterprise to unleash their creativity and maximize productivity. Our unique technology enables businesses to delegate repetitive tasks to Ema, the Universal AI employee. Founded by former executives from Google, Coinbase, and Okta, along with experienced entrepreneurs, we are backed by some of the most prestigious investors and angel investors globally. With a presence in Silicon Valley and Bangalore, we offer a hybrid working environment where employees are expected to work from the office three days a week.Your RoleAs a Deployment Engineer at Ema, you will be essential in ensuring seamless, stable, and secure deployments of our innovative solutions in customer environments. You will collaborate closely with internal DevOps teams and customer stakeholders to manage infrastructure, oversee deployments, and uphold production stability.Your ResponsibilitiesInfrastructure SetupDesign and provision cloud-based infrastructure on platforms such as GCP, Azure, and AWS tailored to specific customer requirements.Implement best practices to ensure security, scalability, and compliance.Deployment ManagementConduct regular on-call SaaS deployments with minimal downtime or disruption.Automate and optimize deployment workflows to enhance efficiency.Production StabilityMonitor logs, alerts, and metrics to maintain uptime and meet SLAs (99.9%+ availability).Proactively diagnose and resolve production issues.Observability and ReportingCollaborate with DevOps to improve monitoring dashboards and alert frameworks.Provide actionable insights on system health and performance to stakeholders.Documentation and Knowledge TransferMaintain up-to-date deployment runbooks, troubleshooting guides, and environment configurations.Facilitate smooth knowledge transfer across teams for effective handovers.

Ema is revolutionizing the landscape of enterprise technology by developing an agentic AI operating system. Our mission is to empower some of the world's largest organizations to transform their manual, fragile business processes into robust, measurable, and automated systems through the integration of AI agents, seamless integrations, and human-centric workflows. At Ema, we define success as operational workflows in production, actively utilized by business teams, and yielding quantifiable results.Founded by visionaries from Google, Coinbase, and Okta, and supported by premier investors, Ema is on a rapid growth trajectory. We're assembling a dynamic team of engineers who are not just code writers but outcome owners.Our Customer Value Engineering (CVE) division is the cornerstone of our engineering efforts, focusing on deployment and production. CVE engineers bridge the gap between Applied AI systems and real customer business processes, ensuring enterprise-grade reliability, security, and integration.In this role, you will collaborate directly with clients and internal product/engineering teams to conceptualize, develop, deploy, and enhance agentic systems that drive business performance. If you aspire to transcend the realm of demos and prototypes and dive deep into the operational behavior of real AI systems, this opportunity is tailored for you.

About EmaAt Ema, we are pioneering the future of AI-driven solutions aimed at revolutionizing enterprise productivity. Our innovative technology automates document-heavy workflows across various sectors. From drafting bespoke documents to streamlining search and data extraction, our AI solutions are transforming the way organizations handle repetitive tasks. Founded by industry veterans from tech giants like Google, Coinbase, and Okta, Ema operates as a stealth-mode startup, supported by leading investors and proudly based in Silicon Valley and Bengaluru.Position Overview & ResponsibilitiesWe are on the lookout for a visionary Principal Architect to lead our Search platform's architecture and execution, influencing its trajectory for years to come. This pivotal leadership role demands a strategic engineering mind to develop, scale, and manage the fundamental systems that power Ema's Search capabilities. Key responsibilities include:Define the technical roadmap for Ema's Search initiatives, which encompasses:Core Search Platform developmentInternal integrations with application teamsExternal integrations with partner teamsCreating Open API specifications for data ingestionEstablish the roadmap for our Data Ingestion Platform, facilitating secure data ingestion, transformation, and indexing from documents, spreadsheets, emails, and SaaS applications.Oversee our Application Integration Platform, connecting Ema to numerous third-party APIs, enabling seamless action across CRMs, ITSMs, HRIS systems, and beyond.Design and enhance our Search Platform to ensure structured and unstructured data integration for efficient search, reasoning, and generation processes.Architect and implement Ema’s Search Index.Collaborate with LLMOps infrastructure to influence the development of thousands of transformations by external developers.Ensure platform compatibility with various data formats (PDFs, spreadsheets, databases, charts, etc.) utilizing PostgreSQL, Elasticsearch, and other relevant tools.Qualifications and SkillsBachelor’s or Master’s degree in Computer Science, Engineering, or a related discipline.A minimum of 12 years of professional experience in software architecture and engineering.Proven track record in leading large-scale system architecture and design.Expertise in data integration and API development.Strong analytical and problem-solving skills.

Opportunity Overview:Join ema, a pioneering force in AI technology, dedicated to enhancing creativity and productivity for every employee within an enterprise. Our innovative platform empowers companies to automate repetitive tasks through Ema, the Universal AI employee. Founded by former executives from Google, Coinbase, and Okta, along with seasoned entrepreneurs, we are well backed by leading investors and angels globally. With our headquarters in Silicon Valley and an office in Bengaluru, we are positioned at the forefront of AI innovation.Your Responsibilities:Work closely with sales leadership to comprehend customer requirements and facilitate the deployment of tailored technical solutions.Acquire a comprehensive understanding of Ema’s technology and its underlying architectures.Conduct engaging product demonstrations that align with the specific needs of prospective customers, highlighting significant features and advantages.Collaborate with customers to successfully execute Proofs of Concept (PoCs), showcasing the practicality and benefits of Ema in their environments.Establish yourself as a Trusted Advisor to key stakeholders, focusing on achieving their desired business outcomes.Design and architect solutions in partnership with customers that align with their business objectives and ensure smooth integration with existing systems.Lead project teams toward shared objectives to accelerate the adoption of Ema’s solutions.Articulate and demonstrate the value of Ema’s solutions throughout the customer journey, from demonstrations to PoCs, workshops, design sessions, and implementation.Assist in transitioning Ema’s solutions from PoC to production.Assess customer cloud/on-premises environments and their specific needs for deploying Ema’s solutions. Collaborate with our engineering team to develop production-ready solutions that fit within Ema’s deployment frameworks.Effectively diagnose and resolve customer challenges on Ema’s platform, implementing new tools to enhance productivity and creating repeatable processes. Maintain comprehensive technical documentation, including solution architectures, integration guidelines, and best practices.Serve as a consultant and subject matter expert for internal stakeholders in engineering, sales, and product teams to address technical deployment challenges and enhance Ema.

About Us:At Ema, we are revolutionizing the landscape of AI technology to equip every employee within enterprises to unleash their creativity and enhance productivity. Our proprietary platform enables organizations to entrust Ema, the Universal AI employee, with repetitive tasks, thus streamlining operations. Founded by former executives from Google, Coinbase, and Okta, along with seasoned entrepreneurs, we are supported by top-tier investors and angels. Our headquarters are located in Silicon Valley and Bangalore.About You:As a Senior AI Applications Engineer, you will play a crucial role in delivering superior post-deployment support for Ema’s Agent Assist/Chatbot product. This position demands a unique combination of technical proficiency and a customer-oriented problem-solving mindset. You will be tasked with configuring, troubleshooting, and optimizing AI solutions for our clients, ensuring exceptional performance, ongoing enhancement of customer workflows, and elevated customer satisfaction. You will independently oversee intricate deployments and solutions for enterprise clients with minimal supervision.Your Responsibilities:Configure and integrate AI/GenAI workflows utilizing platform APIs and customer data, ensuring seamless and secure deployment.Interpret customer needs into technical solutions, validating workflow accuracy and continuously optimizing prompts for peak performance.Automate tasks using Python & SQL and develop prototypes utilizing open-source Agentic Frameworks to enhance customer experience workflows.Design, conduct, and analyze A/A experiments to evaluate and enhance workflow quality and reliability.Oversee AI workflows through key metrics and observability dashboards, promptly addressing issues to guarantee high availability.Deliver proactive solutions and regular updates to clients, achieving high customer satisfaction through effective troubleshooting and communication.Diagnose and resolve platform-related issues concerning APIs, data integration, and workflow configurations, collaborating with engineering teams as necessary.Utilize APIs and integration protocols (JSON, REST, SOAP) for workflow configuration and integration with CRM/ATS tools.Craft custom scripts for database queries and report generation for comprehensive analysis, showcasing ROI to clients.

About EmaAt Ema, we're revolutionizing AI technology to unleash creativity and productivity within enterprises. Our innovative technology enables companies to delegate repetitive tasks to Ema—the Universal AI employee. Founded by a team of ex-Google, Coinbase, and Okta executives, we are supported by some of the world's leading investors and entrepreneurs. Headquartered in Silicon Valley, we also have a vibrant office in Bangalore. This position offers a hybrid work model, with expectations for in-office collaboration three days a week.Role OverviewAs a Senior Product Manager, you will spearhead the product strategy and execution at Ema. This role involves reimagining critical functions such as customer support, employee support, enterprise search, recruiting, IT service management (ITSM), and HR operations through the lens of Agentic AI. You will collaborate with global enterprises to implement Ema, enhancing the experience of employees and HR teams across over 100 countries.Key ResponsibilitiesImpact at Scale: Collaborate with engineering, design, and post-sales teams to support substantial deals and multi-million dollar clients, navigating the complexities of global deployments.Drive Strategy & Vision: Own the comprehensive product vision and roadmap for the Employee Experience suite, transforming intricate customer needs into scalable, secure, and extensible Agentic AI product solutions.Lead Execution: Gain deep insights into customer challenges through research and data to define optimal solutions, ranging from rapid prototypes to reliable, patent-grade products.Empower GTM: Provide Sales and Marketing teams with engaging narratives and demonstrations to accelerate customer acquisition, while developing tools that enable partners to implement Ema autonomously.Cross-Functional Leadership: Serve as the liaison between technical teams and business stakeholders, ensuring alignment and efficiency across engineering, design, and post-sales functions.

About UsAt Ema, we're pioneering cutting-edge AI technology designed to enhance creativity and productivity across enterprises. Our unique platform enables companies to offload repetitive tasks to Ema, the Universal AI employee. Founded by former executives from Google, Coinbase, and Okta, we are backed by esteemed investors and positioned in both Silicon Valley and Bangalore.Role PurposeThis role is critical as we are not merely developing an AI product; we are forging an AI-centric organization from the ground up. Our goal is to redefine the future of work by harnessing artificial intelligence to its fullest potential. We believe that the most valuable contributions are those that are creative, strategic, and distinctly human—everything else should be managed by AI.To realize this vision, we are assembling a team of elite AI Application Engineers within the CTO’s Office. This team will conceptualize, design, and create innovative AI tools that will fundamentally transform Ema's operations, setting a new standard for the post-AI era.Key ResponsibilitiesAs an integral member of a transformative team, you will help revolutionize Ema through Agentic AI. This position involves reimagining the future of work and bringing those ideas to fruition.You will blend the roles of product manager, strategic thinker, and engineer, tasked with identifying and addressing challenges through Agentic AI to create significant impact.1. AI Tool Development:● Assume the role of Product Manager, Designer, and Developer to create AI-driven tools that enhance workflow efficiency for teams and partners.● Custom Software Development: Craft AI-powered micro-SaaS solutions and intelligent applications tailored to tackle specific challenges within Ema.● Utilize Advanced AI Tools: Employ state-of-the-art AI-native development tools (like Cursor, Lovable, etc.) and LLM frameworks to quickly prototype, build, and implement effective solutions.2. AI-Driven Automation:● Opportunity Discovery: Identify automation potentials driven by AI across various processes to enhance efficiency.

Ema is pioneering the development of the world’s first Universal AI Employee — a sophisticated AI platform designed to automate intricate, cross-system enterprise workflows comprehensively, while ensuring human oversight in critical areas.Unlike conventional copilots or limited automation tools, Ema deploys production-grade multi-agent systems that are deeply integrated with enterprise SaaS platforms, executing real business processes at scale. Our clients are not just experimenting; they are transitioning from fragile, manual operations to dependable AI systems that yield measurable results.Founded by experts from Google, Coinbase, and Okta, and supported by prestigious investors, Ema operates at the cutting edge of enterprise AI execution, focusing on tangible outcomes rather than mere demonstrations. With teams located in Silicon Valley and Bangalore, we are shaping the responsible and scalable delivery of agentic AI.If you are passionate about developing and deploying effective AI systems in production, this position is tailored for you.Who You AreThe AI Implementation Manager is responsible for the delivery and stabilization of Ema’s agentic AI solutions from the initial commitment through to production rollout and steady state. This role transcends research, support, or mere project management; you will be the delivery leader and technical authority throughout the implementation phase, collaborating closely with Value Engineering, Product, Engineering, Infrastructure, and customer IT and business teams. You will cultivate specialized expertise in production-grade AI delivery, setting standards for how agentic AI is effectively deployed in production, demonstrating that these systems can be implemented responsibly and not through heroic efforts. You will aid enterprises in transitioning from manual processes to reliable AI execution.What You’ll Work On1. Comprehensive AI Delivery OwnershipTake charge of delivery from design alignment through to production rollout and stabilization.Ensure solutions align with Ema’s agentic architecture and platform capabilities.2. Feasibility Assessment & Agentic Workflow TranslationGain an in-depth understanding of the customer’s business processes and constraints.Translate business workflows into implementable agentic AI workflows.

Join Tekion as a Senior Machine Learning Engineer, where you'll be at the forefront of innovation in the automotive industry. Your expertise will contribute to developing cutting-edge machine learning solutions that enhance our platform's functionality and performance. Collaborate with cross-functional teams to design and implement scalable algorithms, transforming complex data into actionable insights.

Who We AreEma is at the forefront of developing cutting-edge AI technology designed to empower every employee within an enterprise, enhancing creativity and productivity. Our innovative technology enables organizations to delegate repetitive tasks to Ema, the AI employee. Founded by veterans from Google, Coinbase, and Okta, along with serial entrepreneurs, we have garnered support from prestigious investors such as Accel Partners, Naspers, Section32, and notable Silicon Valley Angels including Sheryl Sandberg (Facebook/Google), Divesh Makan (Iconiq Capital), Jerry Yang (Yahoo), Dustin Moskovitz (Facebook/Asana), David Baszucki (CEO of Roblox), and Gokul Rajaram (Doordash, Square, Google).Our team is a talented mix of engineers from premier tech companies like Google, Microsoft Research, Facebook, Square/Block, and Coinbase, with all members coming from top-tier educational institutions such as Stanford, MIT, UC Berkeley, CMU, and IIT. Ema is well-funded by the world's leading investors and angels, with offices in Silicon Valley and Bangalore, India. This position offers a hybrid work model, requiring employees to be in the office three days a week.Who You AreWe are on the lookout for a seasoned Infrastructure Engineer to join our expanding team and take a crucial role in designing and constructing our infrastructure and platform as we scale our product and user base. In this dynamic, fast-paced environment, you will be responsible for ensuring the reliability, scalability, and performance of our systems, concentrating on service architecture and deployment, query optimization, distributed systems, data and machine learning infrastructure, along with security and authentication. Most importantly, you should be eager to contribute to a mission-driven, high-growth startup that aims to make a significant impact.Your ResponsibilitiesCollaborate with product, infrastructure, and engineering teams to architect and develop Ema’s next-generation infrastructure platform, supporting multi-cloud deployments and on-prem installations.Design and implement scalable, secure, and resilient deployment frameworks for Ema's SaaS and enterprise on-prem environments, facilitating automated installation, upgrades, and lifecycle management of Ema.Develop and maintain multi-cloud infrastructure pipelines (AWS, Azure, GCP) utilizing Kubernetes, Helm, Terraform, and cloud-native services to ensure seamless and reliable deployments.Create tools and frameworks to automate the provisioning, configuration, monitoring, and management of our infrastructure.

About Cognite Cognite builds AI and data solutions for industrial digitalization. The team focuses on solving complex, high-impact problems using a strong mix of industrial expertise and AI tools, including low-code AI agents. These solutions help organizations move faster and operate more efficiently. The culture at Cognite values questioning assumptions, moving quickly, and taking ownership. People who see challenges as opportunities tend to succeed here. Cognite’s long-term goal is ambitious: to unlock $100 billion in customer value by 2035 and reshape how global industries operate. Learn more about this vision in their Moonshot announcement.

About Cognite Cognite builds AI and data solutions for industrial digitalization. The company draws on its industrial background to deliver tools that help organizations address complex challenges. With offerings such as low-code AI agents, Cognite supports digital transformation and operational improvement across sectors. The team values persistence and growth through challenge. Those who see obstacles as opportunities tend to thrive here. Cognite’s goal is ambitious: unlock $100 billion in customer value by 2035 and help reshape the global industrial landscape. Learn more about this vision in their newsroom.

Who are we?Ema is revolutionizing AI technology to empower every employee within enterprises, enhancing creativity and productivity. Our innovative platform enables companies to automate repetitive tasks with Ema, the Universal AI employee. Established by former executives from Google, Coinbase, and Okta, along with seasoned entrepreneurs, we boast strong backing from leading global investors. Our operations are based in Silicon Valley and Bengaluru.Who are you?As a Senior Support Engineer, you will provide exceptional post-deployment support for our product and solution implementations. You possess a customer-first mindset, remain composed under pressure, and excel in triaging complex issues, reproducing problems, and facilitating cross-functional resolutions in collaboration with Implementation and Engineering teams.Your role involves acting as the customer advocate, ensuring that issues are tracked, prioritized, and resolved with clarity, urgency, and high standards of quality.Roles and ResponsibilitiesManage customer-facing incident management and escalations for post-deployment enterprise accounts.Triage incoming issues by collecting context, logs, reproduction steps, and customer impact.Generate clear, actionable bug reports and support tickets with thorough reproduction steps and diagnostics.Collaborate closely with Implementation and Engineering teams to expedite issue resolution.Monitor and manage SLAs and key support metrics including FRT, TAT, AHT, and CSAT.Provide proactive and regular status updates to customers and internal stakeholders.Communicate effectively with both technical and non-technical customer teams during incidents and escalations.Identify recurring issues and contribute to the enhancement of documentation, runbooks, and support processes.Maintain and improve internal knowledge bases, troubleshooting guides, and escalation playbooks.Validate fixes, coordinate customer confirmations, and support follow-ups post-resolution.Participate in escalation and on-call rotations as necessary.

About UsEma is at the forefront of developing advanced AI technology aimed at enhancing creativity and productivity across enterprises. Our innovative platform empowers organizations to automate repetitive tasks through our AI-driven employee, Ema. Founded by seasoned executives from leading technology companies such as Google, Coinbase, and Okta, we are proud to be backed by prestigious investors including Accel Partners, Naspers, and several influential Silicon Valley angels like Sheryl Sandberg and Jerry Yang.Our team comprises top-tier engineers from renowned tech firms, bringing a wealth of knowledge and expertise. With a presence in Silicon Valley and Bangalore, India, we are well-funded and are committed to building transformative solutions in a hybrid work environment, expecting team members to collaborate in the office three days a week.Your RoleWe are on the lookout for a skilled DevOps Engineer to join our expanding team. In this crucial role, you will help shape the infrastructure and platform that supports our growing product and user base. You will work in a fast-paced, dynamic setting, ensuring our systems are reliable, scalable, and high-performing. Your focus will be on service architecture, deployment, query optimization, distributed systems, machine learning infrastructure, and security protocols. We seek someone enthusiastic about contributing to a high-impact, mission-driven startup.ResponsibilitiesCollaborate with product teams to design and build robust infrastructure for our offerings.Adapt to the fast-paced environment of an early-stage startup while making informed technology decisions.Create and deploy scalable Multi-tenant SaaS solutions across public cloud platforms like AWS, Azure, and GCP, leveraging tools such as Kubernetes, Helm, Terraform, and Istio for resilient infrastructure.Lead the automation of infrastructure tasks, from provisioning to configuration management.

Join Our Innovative TeamAbout EmaEma is at the forefront of developing the world's largest agentic AI platform aimed at transforming enterprise productivity. Our cutting-edge technology empowers organizations to delegate repetitive tasks to Ema, the Universal AI employee, achieving remarkable efficiency improvements of up to 10 times. Founded by former leaders from Google, Coinbase, Flipkart, and Okta, we possess extensive expertise in product development and scaling. Our team consists of exceptional engineers hailing from prestigious companies such as Google, Microsoft Research, Facebook, Square, and Coinbase, as well as graduates from renowned institutions like Stanford, MIT, UC Berkeley, CMU, and the IITs.Having raised over $60 million from leading investors, including Accel, Naspers/Prosus, Section32, SCB10X, Sozo Ventures, Hitachi Ventures, and notable angel investors like Sheryl Sandberg, Jerry Yang, and Dustin Moskovitz, Ema is headquartered in Silicon Valley with an additional hub in Bangalore, India. This hybrid role requires in-office attendance three days a week.Position OverviewAs the Engineering Lead within our Customer Value Engineering (CVE) team, you will play a crucial role in realizing our mission to reshape the future of work through the Universal AI Employee. You will lead the design of scalable, secure, and observable AI-driven workflows, translating customer aspirations into enterprise-grade solutions that yield measurable results. Your responsibilities will encompass everything from discovery workshops to production deployments.Key Responsibilities:Workflow Discovery & Solution Design: Facilitate discovery workshops to gain insights into human workflows, pain points, data flows, and integration requirements. Transform business goals into comprehensive AI architecture blueprints that address integration, data management, security, and success metrics. Create and update “AI-Employee” design documents to guide the implementation process from blueprint to service level objectives (SLOs).Data Integration & Action Building: Utilize declarative connectors and APIs to ingest, normalize, and secure data from various enterprise systems (CRM, ERP, ATS, etc.). Develop and maintain reusable action blocks using REST/SOAP/RPA and seamlessly integrate them into agent-based workflows.Agentic Reasoning & Prompt Engineering: Construct and compose reasoning agents using state-of-the-art frameworks (e.g., LangChain, Semantic Kernel). Optimize prompts, establish memory management protocols, and define mesh topologies to facilitate robust agentic reasoning. Oversee prompt evaluation, experimental design (A/A, A/B), and rollback strategies.Human-AI Interaction: Define and implement user interaction paradigms to ensure seamless integration between human users and AI systems.

Join Our Team as a Learning Management Specialist!At Ema’s Builder Academy, we empower enterprise builders to effectively deploy Ema’s AI Employees at scale. We are on the lookout for a dynamic Academy Operations Specialist who is passionate about enhancing the learner experience, ensuring operational excellence, and maintaining platform integrity. You will be responsible for the comprehensive management of Thinkific, guaranteeing that courses are live, learners are registered and certified, content is updated in line with product developments, and our Academy operates at a world-class standard. This role is far from just administrative; you will be the operational cornerstone of one of Ema’s key growth strategies: builder adoption and activation.Your Key ResponsibilitiesPlatform Management: Oversee the complete administration of Thinkific (Builder Academy LMS). Configure the portal, manage its structure, and oversee learner access. Regularly update the platform's aesthetics to align with Ema’s branding while ensuring its reliability and usability.Learner Engagement: Handle learner enrollments for all Builder courses. Assess submissions and monitor learner progress while ensuring high completion rates and timely certifications.Content Management: Collaborate with various teams including Product, GTM, and Content to curate and operationalize content updates. Manage timelines to keep Academy materials in sync with Ema’s evolving product capabilities and publish updated courses.Support and Experience Enhancement: Act as the primary contact for Academy-related inquiries—addressing access issues, navigation questions, and course-related concerns. Efficiently resolve learner issues and proactively work to reduce friction points, enhancing the overall learner experience.Performance Insights: Oversee reporting and dashboards related to Academy performance. Analyze key metrics such as enrollment, engagement, completion rates, and adoption, generating actionable insights to improve course effectiveness and learner activation. Provide regular updates to stakeholders.Your ProfileOperational Experience: You have 3-5 years of experience in Operations, LMS Administration, or Program Coordination within a SaaS or tech environment.Platform Proficiency: You are well-versed in LMS tools (preferably Thinkific), CRM systems, and possess skills in data handling and reporting.Detail-Oriented: You consistently execute tasks with precision and ensure nothing falls through the cracks.