Customer Success Engineer Devops Jobs

Roles and Responsibilities Building templates, dashboards in Excel /Google Sheet / PowerBI for operational and management reporting Statistical and Analytical Models and methods for data analysis related to customer initiatives & growth hacks including issue diagnosis, problem dissection and tracking of results Running and maintaining the reporting system Data extraction as per business request for Ad hoc analysis Assisting the team in data analysis and mining Business analysis and understanding to highlight key lead indicator Qualifications & Experience Bachelors in Engineering, Computer Science, Math, Statistics, or related discipline from a reputed institute or an MBA from a reputed institute 2+ years of experience in working on reporting / business intelligence systems Strong database concepts and experience in SQL – can convert any business requirement into a SQL statement Expertise in Excel, PowerBI Working experience in R, Python, Tableau, QlikView, Data studio is a good to have Experience of working in a customer growth/customer analytics role is a plus Quick learner and ability to work in dynamic work environment Team player and comfortable interacting with people from multiple disciplines

About Groww: We are a passionate group of people focused on making financial services accessible to every Indian through a multi-product platform. Each day, we help millions of customers take charge of their financial journey. Customer obsession is in our DNA. Every product, every design, every algorithm down to the tiniest detail is executed keeping the customers’ needs and convenience in mind. Our people are our greatest strength. Everyone at Groww is driven by ownership, customer-centricity, integrity and the passion to constantly challenge the status quo. Are you as passionate about defying conventions and creating something extraordinary as we are? Let’s chat. Our Vision Every individual deserves the knowledge, tools, and confidence to make informed financial decisions. At Groww, we are making sure every Indian feels empowered to do so through a cutting-edge multi-product platform offering a variety of financial services. Our long-term vision is to become the trusted financial partner for millions of Indians. Our Values Our culture enables us to be what we are — India’s fastest-growing financial services company. It fosters an environment where collaboration, transparency, and open communication take center-stage and hierarchies fade away. There is space for every individual to be themselves and feel motivated to bring their best to the table, as well as craft a promising career for themselves. The values that form our foundation are: Radical customer centricity Ownership-driven culture Keeping everything simple Long-term thinking Complete transparency Job Description: Responsible for research and coverage of high end investment products, this role ensures the firm maintains a live universe of curated investment ideas, supported by data, rationales, and manager intelligence. Key Responsibilities: Track new product launches across MF, PMS, AIFs, Structured Products. Build and maintain a central repository of data, research, and collaterals.

AI Engineer - Enterprise Search Overview We are looking for an experienced Enterprise Search Lead to build and optimize our multi-tenant enterprise search solution. This role focuses on creating scalable systems that integrate seamlessly with customer environments, leveraging cutting-edge AI and ML technologies. You will design and manage the enterprise knowledge graph, implement personalized search experiences, and drive AI- powered innovations to enhance search relevance and ITSM workflows. What You Will Do: Build and structure our enterprise knowledge graph to organize content, people, and activity into meaningful relationships for better search relevance. Develop and refine personalized ranking models that adapt to user behavior and improve search results over time. Design ways to adapt AI language models to each customerʼs data for enhanced accuracy and context. Explore innovative methods to combine LLMs with search engines for answering complex queries Write clean, robust, and maintainable code that integrates smoothly with multi-tenant systems. Collaborate with cross-functional teams to align search capabilities with ITSM workflows. Mentor junior engineers or learn from experienced ones to grow as a technical leader. What You Should Have 3-5 years of experience working on enterprise search products with AI/ML integration. Expertise in multi-tenant systems and securely integrating with external customer systems. Hands-on experience with tools like Elasticsearch, Solr, or similar search platforms. Strong coding skills in Python, Java, or equivalent languages. A passion for solving complex problems with AI and delivering intuitive user experiences. Important notice for candidates: Job scams are on the rise. Please keep these guidelines in mind when applying for any open roles at Atomicwork. Only apply through official Atomicwork channels. We do not use third-party agencies or individuals who ask for payments in exchange for interviews or offer letter

Location : Come and join us in Hamburg. Freenow by Lyft empowers smarter mobility decisions helping people to move freely and cities to thrive. We are looking for an Engineering Manager to lead a high-performing team of software engineers focused on our Rider domain — the customer-facing app and platform that millions of riders use every day. Your team will play a pivotal role in bringing Lyft's product experience to Europe, adapting and building the systems that let riders book rides seamlessly across all markets This critical role ensures team’s alignment with product and business strategy, while driving efficient delivery of features. You will foster an environment of technical excellence, psychological safety, and continuous individual development, ultimately maximizing business impact across all Freenow markets through innovation. Be ready to work in a multinational, diverse, highly motivated and collaborative team of passionate colleagues who strive for excellence and enjoy their work. Are you ready for your next ride? YOUR DAILY ADVENTURES WILL INCLUDE: Team Performance & Delivery: Within the frame of quarterly goals and company strategy, lead the team in delivering high-quality, scalable software solutions. Focus on continuously improving engineering processes to ensure predictable, timely delivery while managing team capacity and focus. You inspire innovation to disrupt incumbents. People Development: Provide coaching, mentoring, and continuous feedback to team members. Identify development areas and growth opportunities to support individual career paths and enhance team competence in building innovative customer and driver support solutions. You get to build a team from the ground up. Technical Ownership: In collaboration with Staff Engineers and Principals, lead technical decision-making for the support systems. Ensure high standards of quality, reliability, maintainability, and observability in all solutions, particularly the large-scale syste

Staff Engineer - Enterprise Search Overview We are looking for an experienced Enterprise Search Lead to build and optimize our multi-tenant enterprise search solution. This role focuses on creating scalable systems that integrate seamlessly with customer environments, leveraging cutting-edge AI and ML technologies. You will design and manage the enterprise knowledge graph, implement personalized search experiences, and drive AI-powered innovations to enhance search relevance and ITSM workflows. What You Will Do Build and structure our enterprise knowledge graph to organize content, people, and activity into meaningful relationships for better search relevance. Develop and refine personalized ranking models that adapt to user behavior and improve search results over time. Design ways to adapt AI language models to each customer’s data for enhanced accuracy and context. Explore innovative methods to combine LLMs with search engines for answering complex queries. Write clean, robust, and maintainable code that integrates smoothly with multi-tenant systems. Collaborate with cross-functional teams to align search capabilities with ITSM workflows. Mentor junior engineers or learn from experienced ones to grow as a technical leader. What You Should Have 5+ years of experience working on enterprise search products with AI/ML integration. Expertise in multi-tenant systems and securely integrating with external customer systems. Hands-on experience with tools like Elasticsearch, Solr, or similar search platforms. Strong coding skills in Python, Java, or equivalent languages. A passion for solving complex problems with AI and delivering intuitive user experiences. Important notice for candidates: Job scams are on the rise. Please keep these guidelines in mind when applying for any open roles at Atomicwork. Only apply through official Atomicwork channels. We do not use third-party agencies or individuals wh

Position Overview The Senior Solutions Sales Executive is a strong solution specialist with deep working knowledge of Diligent’s Risk & Audit products. This role supports revenue growth by understanding customer needs, positioning the right solutions, and helping customers address specific and sometimes complex Risk & Audit challenges. This is an individual contributor role focused on engaging with customers, supporting opportunities, and partnering closely with Account Executives throughout the customer journey. As a trusted solution partner, the Solutions Sales Executive II provides product and domain expertise during co-selling and solution discussions, helping to influence customer decisions. The role also includes contributing to shared learning by exchanging knowledge and best practices with peers across the sales organisation. This position suits a commercially aware, collaborative professional who enjoys working in a solution-led sales environment, influencing outcomes through expertise, and consistently delivering results while living Diligent’s values. Key Responsibilities Demonstrates strong technical and domain knowledge of Diligent’s Risk & Audit products and solutions. Applies sound judgment, product expertise, and analytical thinking to recommend solutions that address customer challenges, including more complex use cases with appropriate support. Uses a solution-selling approach to understand customer needs and develop tailored solutions aligned to the Diligent One Platform. Maintains high levels of prospect engagement and satisfaction through proactive outreach, relevant insights, and consistent follow-up to support opportunity creation and progression. Partners with the Sales team on account planning, proposals, presentations, and other sales materials that clearly articulate solution value and technical capabilities. &n

As a member of our operations team, you will be accountable for driving revenue by ensuring that Scale AI meets customer commitments in a timely manner while maintaining the highest quality standards. You will manage our supply operation funnel by building and running solutions, tools, and processes by working with a cross-functional team including Customer Operations, Product Operations, Product Managers, and many others. You will be solving problems no one has solved before, and you will need to be relentless in driving stellar results, running pilots, tests, and experiments. You’ll come up with creative solutions to bottlenecks. The blend of operations and ownership of our most important outcomes make this a unique and exciting role at the heart of Scale’s daily operations.The ideal candidate is scrappy, analytical, empathetic, outcome focused, and above all someone who drives and inspires results. You will: Build and drive some of our most critical operational processes Own the day-to-day delivery of customer commitments Create an effective feedback loop between the front line, product, strategy, and customers Collaborate with stakeholders to improve processes for new and existing customers Ideally you'd have: Advanced English skills Industry experience (+2) in an operational role and/or a top-tier consulting firm An undergraduate degree with an analytics heavy major (e.g., Engineering or Economics) and/or a graduate degree in Engineering, Economics, or Business An action-oriented mindset that balances creative problem solving with the scrappiness to ultimately deliver results Analytical, planning, and process improvement capability Experience with reading SQL, or have demonstrated analytical skills PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. We are looking for a Field Application Engineer to serve as the technical bridge between Tenstorrent and customers across Southeast Asia. Based in Singapore, you will work closely with customers, partners, sales, and global engineering teams to understand AI and machine learning workloads, guide technical evaluations and deployments, troubleshoot issues across hardware and software, and help customers realize the performance of Tenstorrent’s AI platforms. This is a highly visible, customer-facing role that combines hands-on technical problem solving, solution development, and regional relationship building, with regular travel throughout Southeast Asia. This role is remote, based out of Singapore. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are A customer-focused technical professional who can build trust with application developers, engineering teams, and business stakeholders. Comfortable translating complex AI/ML hardware and software concepts into clear recommendations for both technical and non-technical audiences. A proactive and self-directed problem solver who can coordinate internal teams, external service providers, and customer sta

The Incharge - Relationship Manager is responsible for building and maintaining strong relationships with customers, managing the entire customer lifecycle from booking to handover. This role involves overseeing customer interactions, addressing allotment issues, and ensuring a seamless onboarding and payment process to enhance overall customer satisfaction. Source: Adani Group | Job ID: 56097

The Incharge - Relationship Manager is responsible for building and maintaining strong relationships with customers, managing the entire customer lifecycle from booking to handover. This role involves overseeing customer interactions, addressing allotment issues, and ensuring a seamless onboarding and payment process to enhance overall customer satisfaction. Source: Adani Group | Job ID: 58284

The Incharge - Relationship Manager is responsible for building and maintaining strong relationships with customers, managing the entire customer lifecycle from booking to handover. This role involves overseeing customer interactions, addressing allotment issues, and ensuring a seamless onboarding and payment process to enhance overall customer satisfaction. Source: Adani Group | Job ID: 51448

The Incharge - Relationship Manager is responsible for building and maintaining strong relationships with customers, managing the entire customer lifecycle from booking to handover. This role involves overseeing customer interactions, addressing allotment issues, and ensuring a seamless onboarding and payment process to enhance overall customer satisfaction. Source: Adani Group | Job ID: 51453

About the team OpenAI’s mission is to ensure the responsible and widespread adoption of artificial intelligence. In support of that mission, the Marketing team helps deeply understand customer audiences and market dynamics, influence the development of the right products, build sustainable and customer-aligned monetization models, and drive awareness, adoption, and usage across OpenAI’s products and platform. We take a data-driven approach to understand markets, develop monetization strategies, and uncover customer needs that shape product strategy and messaging. We partner closely with Sales, Partnerships, Product, Engineering, Research, Comms, and Design to deliver a cohesive end-to-end customer experience and lead go-to-market efforts for new product launches across channels. About the role We’re looking for a Product Marketing Manager, Advertising to bring together advertiser insights, market understanding, and product knowledge to shape positioning, inform product priorities, and deliver go-to-market initiatives that drive adoption and measurable business impact. You’ll work closely with Product, Engineering, Sales, and Partnerships to understand advertiser needs, translate complex AI capabilities into clear customer value, and bring new products and features to market. This role is ideal for someone who combines strategic thinking with hands-on execution, independently navigates ambiguity, and brings cross-functional partners together to deliver results. In this role you will: Define the product and marketing strategy for a component of OpenAI’s advertising business in partnership with cross-functional partners Develop a deep understanding of advertisers through customer research, market analysis, and competitive insights, identifying opportunities to improve positioning, adoption, and product-market fit. Own positioning and messaging for your product area, translating complex capabilities into compelling narratives for different advertiser audiences and use c

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. About the Team The Embedded Insights team supports Plaid’s mission to build a world-class suite of intelligence products. We identify the best opportunities to use machine learning in Plaid products, prove out those opportunities, and collaborate with cross-functional partners to turn them into real-world production systems. About the Role As a Senior Machine Learning Engineer on Embedded Insights, you will help shape Plaid’s future by building machine learning-powered products and features. You will initially support the Plaid App, working on a 0-to-1 consumer-facing product and helping establish product-market fit for a new business line. You will work closely with product managers, data scientists, engineers, customers, and other machine learning engineers to translate ambiguous opportunities into effective ML systems that create measurable customer value. In supporting the Plaid App, you will: Build machine learning-based features for a 0-to-1 consumer-facing product. Partner with product managers to translate ambiguous business requirements into machine learning problems and influence product strategy and roadmap decisions. Rapidly iterate and experiment to help drive product

About the Team The Growth Platforms team builds the systems and operating foundations that help OpenAI grow responsibly. We partner across the product portfolio to connect customer signals, identity and consent, campaign workflows, measurement, and product experiences into an AI-enabled growth engine. Our work helps teams launch, learn, and scale with a high bar for data quality, privacy, reliability, and customer trust. About the Role We’re looking for an experienced marketing technology and operations leader to drive cross-functional work at the intersection of growth, measurement, data, and automation. Your mission will be to turn fragmented tools, signals, and workflows into reliable, measurable, AI-enabled capabilities that teams can use safely at scale. You’ll work across Growth, Marketing Operations, Product, Engineering, Data Engineering, Data Science, Security, Privacy, Legal, and Revenue Operations, as well as external advertising platforms, measurement providers, and implementation partners. You’ll translate business requirements and privacy constraints into data contracts, integration designs, rollout plans, and reliable first-party data systems. This is a hands-on, high-impact role for someone who brings structure to ambiguity and moves from event schemas, APIs, and data quality assurance to operating cadences, partner enablement, and executive updates. This role is based in San Francisco or New York City with a hybrid office expectation. In this role, you will: Own the operating model for Growth’s marketing technology stack across identity, consent, audiences, activation, measurement, and experimentation. Own and operate the complete paid-media tracking and measurement system, including website pixels, server-to-server conversion events, mobile measurement integrations, identity and consent controls, attribution methods, and timely signal delivery to advertising platforms. Design and implement event schemas, data mappings, APIs, and integrations; valid