Senior Manager Product Operations Jobs

Banking hasn't changed much in decades. We're changing that. One product at a time. Lunar is a Nordic challenger bank building the future of financial life with AI at the core. Our engineers, designers, and product people work on problems that actually matter. Making money simpler, smarter, and more rewarding for a million of registered users across the Nordics. Fully licensed and founded in 2015, with offices in Copenhagen, Aarhus and Stockholm. We move fast, we build with purpose, and we're just getting started. As our new DevOps Engineer you'll join Squad Matrix based in Copenhagen, reporting to Jesper, working to build Lunar's governed self-service data platform alongside our data platform and analytics engineers. Matrix owns Hubble, the internal data platform that makes data usable across Lunar. Your focus won't be on building pipelines or analytical products. It'll be on the infrastructure, deployment mechanisms and operational capabilities those systems depend on. You'll make running data workloads feel like a well-engineered platform rather than a collection of individually operated systems. What will you do? Build and maintain data-specific Kubernetes capabilities for workloads like Flink, Kafka, and distributed databases — including operators, lifecycle management, storage integrations and workload isolation Create standardised CI/CD pipelines, GitOps workflows and deployment automation so engineers can build, test and ship data infrastructure with confidence Own observability and reliability for the data platform — metrics, tracing, dashboards, SLOs and automated health checks that make production understandable and operable Reduce manual operations through infrastructure automation, data-specific Infrastructure as Code and internal tooling that solves common problems once at the platform level Partner with data platform engineers and the wider platform organisation to extend shared foundations for data-intensive, stateful workloads — so the rest of the t

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role As a Security Specialist Solutions Architect, you will bring deep expertise in SIEM solutions, security technologies, and consultative selling to support customers in securing their data and infrastructure. You will bring to bear your knowledge of vendor ecosystems, security architectures, and operational processes to help customers solve complex challenges, enhance incident response, and build modern, scalable security solutions. Joining Elastic Means Joining a Company That: Empowers you to make a real impact: Your work will directly influence the success of organizations worldwide, helping them unlock new opportunities and make insightful decisions. Offers unparalleled growth opportunities: We cultivate a culture of learning and provide access to world-class training programs and innovative technology. Connects you with hardworking individuals: Collaborate with a team with varied strengths of engineers, data scientists, and industry experts who are passionate about pushing the boundaries of security analytics and AI-powered solutions. Rewards you for your contributions: Enjoy a competitive compensation and benefits package that reflects your talent and dedication. Learn More: Our Mission: To help people understand their data and align with their desired outcomes Our Values: Collaboration, Willingness, Customer Focus, and Innova

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

Zafin is an AI platform company helping regulated institutions modernize how critical work is designed, governed, and delivered. Our technology enables organizations to move faster while maintaining the governance, accountability, and control required in highly regulated environments. Our portfolio includes Zafin AIOS , an agent orchestration platform for governed AI work; the Zafin Banking Platform , which helps banks modernize product, pricing, offers, billing, loyalty, and relationship management; and Zafin IO , an integration platform that connects data, systems, and workflows across complex enterprise environments. Headquartered in Toronto, Canada, Zafin partners with leading financial institutions across North America, Europe, the Middle East, Africa, and Asia-Pacific. As AI transforms the future of financial services, we're building the platforms that help regulated organizations adopt AI responsibly and at scale. About this Role: As a Senior Analyst, Business Performance and PMO , you will support the management team by enabling effective project governance, performance visibility, and data-driven decision-making across projects, programs, portfolios, and functional operations. The role is responsible for coordinating governance activities, maintaining accurate reporting and dashboards, tracking key operational and financial metrics, and highlighting risks, issues, trends, and improvement opportunities. Major Responsibilities: Provide executive visibility into project, program, portfolio, and functional performance, including status, risks, issues, costs, KPIs, and key trends. Facilitate project governance forums, drive reporting cadence, and escalate risks, issues, decisions, and dependencies requiring management attention. Prepare and publish executive-ready dashboards, summaries, trend analyses, KPI updates, and variance commentary for SLT and management reviews. Support weekly and monthly governance activities, including project reporting complianc

About the Role Together AI runs one of the largest GPU fleets in the world. The Infra Agent Systems team builds the software systems that power and automate that infrastructure. We develop production AI agents that diagnose hardware failures, investigate incidents, correlate signals across the fleet, and automate operational workflows. Alongside these agents, we build the platform they run on, including knowledge graphs, retrieval systems, orchestration frameworks, and developer tooling. You’ll work across two areas: Infrastructure Agent Systems — Build production AI agents that help operate our GPU fleet by diagnosing failures, investigating incidents, gathering evidence from live systems, and assisting with remediation. These agents are used every day by our infrastructure and datacenter teams through APIs, CLI, dashboards, and Slack. Core Agent Platform — Build the platform that powers these agents, including knowledge graphs, search and retrieval, orchestration, evaluation, and the tooling that enables agents to reason, act, and continuously improve. We’re working on something that hasn’t really been done before: building knowledge graphs and self-improving AI agents that understand, operate, and continuously improve large-scale AI infrastructure. This is an opportunity to work at the intersection of AI agents, distributed systems, infrastructure, and automation , solving challenging engineering problems with real production impact. There’s an enormous amount to build, learn, and shape as we define the future of autonomous infrastructure. responsible for delivering the software but also for operating and supporting it in production. Why this Role You’ll work on two hard problems at the same time: making AI agents trustworthy enough to operate production infrastructure, and building the knowledge, retrieval, and distributed systems that make those agents effective. You’ll have the opportunity to build foundational systems from the ground up, work on infrastructur

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role The Observability, Monitoring, and Integrations team sits within GitLab's Monetization section. As a Senior Backend Engineer on the Monetization Platform Integrations team, you'll design, build, and maintain the integrations that connect CustomersDot and Monetization services to GitLab's enterprise applications, including Salesforce and Workato. You'll own robust application programming interface (API) contracts, protect data integrity across systems, and build resilient cross-platform workflows that underpin how customers buy, provision, and renew GitLab. Because these integrations move financial and sub

Silicon Verification Engineer Multiple roles across different levels Graphcore is a globally recognised leader in Artificial Intelligence computing systems. The company designs advanced semiconductors and data centre hardware that provide the specialised processing power needed to drive AI innovation, while delivering the efficiency required to support its broader adoption. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. We are opening a new AI Engineering Campus in Bengaluru which will play a central role in Graphcore's work building the future of AI computing. The verification team sits within the Silicon design team and is responsible for ensuring that the RTL created by the logical design team and used by the physical design team matches the architecture specification for Graphcore silicon. The silicon verification engineer is responsible for verification activities within Graphcore, helping the team meet the company objectives for quality silicon delivery. Responsibilities Verification planning, specification and closure of functional coverage Providing feedback to architects Test generation and failure diagnosis/triage Contributing to shared verification infrastructure Ensuring good communication between sites Essential skills: • Verification experience in relevant industry • Proven leadership and planning skills • Highly motivated, a self starter, and a team player • Ability to work across teams and programming languages to find root causes of deep and complex issues • Experience of the verification process applied in CPU and/or ASIC environments • System Verilog, Python, C++, Linux Desirable skills: • UVM • SVA • Assembly languages • LLVM, GCC • DVCS e.g. Git • SGE or other DRMS • XML and XPath/XSLT • Web programming – HTML/DOM, Javascript, SQL Benefits: In addition to a competitive salary, Graphcore offers a competitive benefit

About Us Graphcore is a globally recognised leader in Artificial Intelligence computing systems. The company designs advanced semiconductors and data centre hardware that provide the specialised processing power needed to drive AI innovation, while delivering the efficiency required to support its broader adoption. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Job Summary Working within the logical design team, the silicon logical design engineer is responsible for a wide range of logical design tasks. The team is responsible for delivering the Microarchitecture and RTL design to implement the chip architecture specification for Graphcore Silicon, working closely with other engineers within the Silicon team. The successful candidate will be responsible for helping the team deliver high quality micro-architecture and RTL for Graphcore chips, working within the logical design team and with the broader Silicon team to ensure we meet the company objectives for Silicon delivery. Responsibilities and Duties Integrate IP and subsystems into top-level SoC designs Develop and maintain build and configuration environments Perform synthesis, linting, CDC/RDC, and timing checks at the SoC level Support verification and physical design teams through clean interface hand-offs Debug and resolve integration-related issues across multiple hierarchies Contribute to the continuous improvement of integration flows and automation Producing high quality microarchitecture and other documentation Ensure good communication between sites to maintain consistent working practises Candidate Profile Essential skills: Logical design experience in relevant industry Experience range 4-8 years in Semiconductor Industry/Product development exposure. Be highly motivated, a self-starter, and a team player Ability to work across teams and debugging issues seen to find root caus

Location : Bangalore/Pune About Team & About Role: As a Senior Software Engineer (SSE) in the Continuous Product Delivery (CPD) team, you will play a key role in providing long term stability and last mile delight to our customers. You will work closely with the core engineering team, product, and support org. You will be working across Rubrik releases on our on-premise data backup & management offering, with a focus on the identity and access layer that secures it. You are expected to develop a strong understanding of our product and engineering architecture — particularly how authentication and authorization flow through the system, including our integrations with enterprise identity providers, directory services, and certificate-based trust chains. We are seeking a highly skilled Golang developer with deep, practical experience in identity protocols (OIDC/OAuth 2.0, SAML 2.0) and applied cryptography/PKI. As a Software Engineer on this team, you will be responsible for designing, building, and hardening the systems that authenticate users, machines, and services across our platform — reasoning carefully about threat models, not just shipping features. You should have strong programming and troubleshooting skills, excellent design skills, and a solid understanding of distributed systems, OS fundamentals, and networking. The successful candidate will preferably have working knowledge of Active Directory and be able to work independently and as part of a team. Responsibilities Design, build, and harden identity and access flows — OIDC/OAuth 2.0, SAML 2.0, Active Directory integrations — that sit in front of mission-critical systems. Own token and assertion lifecycle correctness: issuance, validation, expiry, rotation, and failure-mode handling for JWT/JWKS and SAML assertions. Apply strong applied-cryptography and PKI practices (X.509 certs, key rotation, TLS) to keep the auth path secure by default, not as an afterthought. Build and maintain reverse-proxy/H

About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Job Location: Singapore What you will do as a Senior Customer Engineer The Senior Customer Engineer (CE) is the core driver of our technical go-to-market strategy: a trusted technical advisor and primary architect of the customer journey. You will bridge the gap between technical strategy and business value—guiding enterprise clients from initial pre-sales technical validation through onboarding, deployment architecture, and full lifecycle expansion. Si

About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Job Location: Singapore What you will do as a Senior Customer Engineer The Senior Customer Engineer (CE) is the core driver of our technical go-to-market strategy: a trusted technical advisor and primary architect of the customer journey. You will bridge the gap between technical strategy and business value—guiding enterprise clients from initial pre-sales technical validation through onboarding, deployment architecture, and full lifecycle expansion. Si

About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Job Location: Singapore What you will do as a Senior Customer Engineer The Senior Customer Engineer (CE) is the core driver of our technical go-to-market strategy: a trusted technical advisor and primary architect of the customer journey. You will bridge the gap between technical strategy and business value—guiding enterprise clients from initial pre-sales technical validation through onboarding, deployment architecture, and full lifecycle expansion. Si

Job Details: Job Description: We are seeking a Senior Middleware Development Engineer to join our communication runtimes team to develop and contribute software features and optimizations to multiple communication libraries such as Intel SHMEM (Shared Memory Access), Intel MPI (Message Passing Interface), MPICH (Message Passing Interface Chameleon) and Intel oneCCL (Collective Communications Library). In this role, you will have an opportunity to build expertise with the latest Intel GPUs and CPUs used in the data center, work directly with scientists and engineers working on the Aurora supercomputer at the Argonne National Labs, and make meaningful contributions that improve scientific computing and machine learning. You will need to understand multiple levels of the communications stack, be self-driven, have high motivation to learn and want to use your outstanding analytical skills to make an impact and must have excellent communication skills. Your roles and responsibilities will include but not limited to: Design, develop, and maintain features and optimizations for Intel SHMEM, Intel MPI, MPICH, and oneCCL libraries Collaborate with cross-functional teams to define software requirements and specifications Optimize software to meet performance requirements, ensuring low latency, high bandwidth and high reliability Qualifications: Minimum qualifications listed below would be obtained through a combination of industry relevant job experience, internship experience and / or schoolwork/classes/research. The preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. Minimum Qualifications: Master’s d

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. The Safety team plays a critical role in supporting Micron’s mission to transform how the world uses information. We are committed to creating safe, sustainable, and innovative workplaces across our construction and manufacturing environments. Our team collaborates closely with engineering, operations, and construction partners to integrate safety into every stage of our work while driving continuous improvement and regulatory excellence. As an Safety Engineer, you will help protect people, property, and operations through proactive risk management, safety program development, and regulatory compliance. This role offers the opportunity to influence complex construction and industrial projects, leverage technology and AI-enabled solutions to improve safety outcomes, and contribute to a culture where safety is a core value. Responsibilities: Conduct hazard assessments, risk analyses, and safety reviews to support construction and industrial operations Develop, implement, and continuously improve safety programs, procedures, and training to enhance worker safety and regulatory compliance Perform safety audits, incident investigations, compliance inspections, and emergency response activities, including participation in an on-call rotation Partner with project teams and contractors to integrate safety-by-design principles and ensure effective execution of site safety requirements Utilize AI-enabled tools, workflows, and data analysis techniques to improve EHS processes, identify trends,

Senior Machine Learning Engineer Description - We are looking for a Senior MLOps Engineer to design, build, and operate the infrastructure that enables machine learning models and large language models to be deployed safely, reliably, and at scale. In this role, you will create the end-to-end capabilities required to move models from experimentation into production, expose them through secure and highly available endpoints, and enable users and applications to interact with AI-powered services. You will work across AWS and Databricks to establish robust CI/CD pipelines, model-serving infrastructure, observability, governance, rollback mechanisms, and operational standards. You will partner closely with data scientists, machine learning engineers, software engineers, security teams, and platform engineers. The ideal candidate combines strong cloud and DevOps engineering skills with a practical understanding of machine learning systems, LLM deployment patterns, and production reliability. Key Responsibilities MLOps Platform and Architecture Design and implement a scalable MLOps platform using AWS and Databricks. Define reference architectures and reusable deployment patterns for traditional machine learning models, deep learning models, and large language models. Build standardized workflows that move models from development and validation into staging and production. Develop self-service capabilities that allow data scientists and ML engineers to deploy models without manually managing infrastructure. Establish clear separation between development, testing, staging, and production environments. Design multi-region or multi-availability-zone architectures where required by business continuity and availability objectives. CI/CD and