Engineering Execution Manager Jobs

Technical Project Manager India Jaipur, Rajasthan Key Responsibilities • Plan, manage, and deliver technical projects from initiation through completion • Define project scope, goals, timelines, and deliverables in collaboration with stakeholders • Coordinate cross-functional teams including engineering, QA, DevOps, product, and vendors • Translate business requirements into technical tasks and milestones • Track project progress, manage risks, dependencies, and issues, and implement mitigation plans • Facilitate sprint planning, stand-ups, retrospectives, and other Agile ceremonies (as applicable) • Ensure adherence to project management best practices, SDLC, and quality standards • Communicate project status, risks, and outcomes to stakeholders and leadership • Manage project budgets, resources, and documentation • Support release planning and post-implementation reviews Required Skills & Qualifications • Bachelor’s degree in Computer Science, Engineering, Information Technology, or related field • Proven experience as a Technical Project Manager or similar role • Strong understanding of software development processes and technologies • Experience with Agile, Scrum, Kanban, or Waterfall methodologies • Proficiency with project management tools (e.g., Jira, Confluence, MS Project, Asana) • Excellent communication, leadership, and stakeholder management skills • Strong problem-solving and risk management abilities Preferred Qualifications • Project management certification (PMP, PRINCE2, CSM, SAFe, or equivalent) • Experience working with cloud platforms, APIs, databases, or infrastructure projects • Background in software development or engineering • Experience managing distributed or remote teams

CGI WMIS Technical Support Engineer (L3)-WMIS integration, Interface queues-WMIS integration(Maximo, GIS, SAP, MWM), Interface queues We're a global, team of innovators. Together, we harness engineering excellence and passion to co-create meaningful solutions to complex challenges. We turn organizations into data-driven leaders that can make a positive impact on their industries and society. If you believe that innovation can bring a better tomorrow closer to today, this is the place for you.

Previous experience in the oil and gas industry is preferred but not essential.Strong understanding of health, safety, and environmental regulations related to the sector.Excellent problem-solving skills and the ability to work under pressure.Ability to work both independently and as part of a team.Good communication skills, with an emphasis on clear reporting and collaboration.Relevant certifications or qualifications in engineering, geology, or related fields would be advantageous. We encourage all interested candidates who meet these qualifications to apply for this exciting opportunity within the dynamic oil and gas industry.

About Dialpad Dialpad is the AI platform for customer experience, built to resolve customer problems in real time across voice and digital. Our AI agents learn from your best human agents and improve with every interaction, helping organizations understand their customers, deliver better experiences, increase operational efficiencies, and build a lasting competitive advantage. Unlike legacy systems built to route and answer, or standalone agentic bot vendors built to deflect, Dialpad was built to resolve. Our AI agents and human agents operate on a single platform with shared context, allowing Agentic AI to resolve issues, advance deals, and eliminate busywork through automation while seamlessly handing conversations to humans when needed, with full context preserved. Market-leading brands, including Randstad, Motorola Solutions, Netflix, the San Diego Padres, the Colorado Rockies Baseball Club, and Cal Athletics, trust Dialpad. Dialpad is backed by Andreessen Horowitz, GV, ICONIQ Capital, and T-Mobile. Being a Dialer At Dialpad, AI isn’t just a feature; it’s how our teams do their best work every day. We put powerful AI tools in every employee’s hands so they can move faster, think bigger, and achieve more. We believe every conversation matters. And we’ve built the platform that turns those conversations into insight and action, for our customers and ourselves. We look for people who are intensely curious and hold themselves to a high bar. Our ambition is significant, and achieving it requires a team that operates at the highest level. We seek individuals who embody our core traits: Scrappy, Curious, Optimistic, Persistent, and Empathetic . Your role As an AI Engineer, the selected candidate will build and ship AI-powered tools alongside a small, technically focused team. This is a hands-on engineering role: the candidate will write Python, work with LLMs and agent frameworks, integrate APIs, and help deploy systems that real business teams depend on. Guidance will

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. Role Summary As a Social Media Support Specialist, you are at the forefront of helping developers create while managing our social media presence and community interactions. You'll assist developers with complex technical issues, billing inquiries, account management, and product usage questions across multiple channels including X (Twitter), LinkedIn, Reddit, Apple/Google Play stores, and other relevant platforms. You will help bubble up what is important to Replit's engineering and Product teams, and what needs improvement to your own team, while also serving as a key voice in our social media community engagement. We use tools like Zendesk, Sprout Social, Linear, Slack, Stripe, Orb, Notion, and Replit itself to get the job done, alongside social media management platforms for X, LinkedIn, and Reddit. You will work on a small, global team of support specialists and engineers united by Replit's mission to make the next billion software creators. Together, you'll ensure developers worldwide have the support they need to bring their ideas to life. In this role you will… Work directly with Replit customers via support tickets and social media accounts to solve account, billing, and product issues Manage and respond to customer inquiries and community discussions on X (Twitter), LinkedIn, Reddit, and Apple/Google Play stores, with the possibility of expanding coverage to additional platforms as we grow Monitor social media channels for product feedback, technical issues, and community sentiment Manage escalations from social media channels and coordinate with appropriate internal teams to ensure timely resolution Collaborate with the rest of the Support team in telling the story of our users to the rest of Replit Work cro

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. As Data Analysis Engineering Intern at Micron, you will learn about the exciting field of semiconductor failure analysis, using state of the art solutions to improve next generation memory solutions. The goal of this internship is to accelerate the cell cycles of learning by developing inline prediction to end of line cell performance using machine learning. We need engineers who are passionate about detecting problems and making changes for the better, and seek out innovative ways in how predict what will happen. We will assign you project to develop critical thinking and problem-solving skills. Your research tasks are designed to optimize and improve predictability of cell performance. Through this project we will provide the opportunity for you to collaborate with others from process integration, process engineering and data science. At the end of the period, we want you to have a deep understanding of the processes, device operation, and measurement strategies used in today’s semiconductor yield analysis department. Responsibilities: Review and analyze experimental data looking for device performance shift Possess a continuous improvement process (CIP) mentality, looking for ways to improve measurement accuracy and make a difference today! Recognize, identify, and raise awareness of process anomalies with the motivation of "who needs to know this now!" Use the data collected inline to drive process improvements Work with new detection tools and inspection strategies to loca

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. As a Field Service Technician at Micron Technology, you will successfully classify customer-reported problems through the accurate use of sub-resolution, system, and keywords. You will then meet specified timelines according to case priority. You will identify and monitor recurring problems in order to document and/or report them to the Engineering group for resolution. You will also contribute to establishing and maintaining a compliant desktop environment by repairing and providing preventative maintenance of personal computers and related systems. Responsibilities 1. Meet timelines according to priority Priority 1 – contact customer immediately, begin working on problem as soon as possible. Priority 2 – contact customer within 1 hour, begin working on problem within 2 hours. Priority 3 – contact customer within 12 hours, begin working on problem within 24 hours. 2. Ensure customers and co-workers are kept abreast on the incident status by providing detailed daily incident documentation. 3. Update and refer to the Worldwide Knowledgebase and the Field Services Best Practice Library. Read technical articles and entries about common fixes/bugs to stay c

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. As a HBM Assembly Capacity IE Manager, you are responsive for the following main works. 1. People leadership and Talent Development 2. Lead HBM Assembly IE Team for following Tasks of HBM Ramp HBM Assembly Capacity Scenario Study with multiple buildings HBM Assembly Capex study Max out program to explore opportunities for capacity increase 3. Cross function leadership and Stakeholder management. Validate and review each of engineering changes before reflecting to capacity 4. Data analytics, Automation and AI transformation Capacity model transformation – CSM fully automate plan Using Artificial Intelligence to redesign IE current workflow through lean and AI methodology AI proficiency or AI‑enabled ways of working where applicable About Micron Technology, Inc. We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all . With a relentless focus on our customers, tec

Data & AI Lead will enable data driven decision making, advanced analytics, and AI led value creation across the organization by transforming raw data into trusted insights, predictive intelligence, and scalable AI solutions. The primary purpose of this role is to design, build, deploy, and govern data platforms, analytics, machine learning, computer vision, operations research and generative AI capabilities that directly support business strategy, operational excellence, and innovation. By working closely with business leaders, Business Technology, Software Engineering, Architecture, IT, and Cybersecurity teams, Data & AI role translate business problems into analytical and AI use cases, develop scalable and responsible AI solutions, and ensure adoption through explainability, trust, and governance. This role plays a critical role in institutionalizing data driven culture, embedding AI into core processes, and enabling faster, better, and more consistent decisions at scale. Source: Adani Group | Job ID: 52726

About Team Our Robotics team is focused on unlocking general-purpose robotics and advancing toward AGI-level intelligence in dynamic, real-world environments. Working across the full model and systems stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the physical constraints of real-world systems to improve people’s lives. About the Role We are looking for a TPM to drive development and integration of a range of sensor systems for robotics. This role will drive cross-functional alignment across requirements, engineering design, integration, validation, manufacturing, supply chain, and release processes, helping turn complex sensor-system needs into clear plans, decisions, and milestones. Location and in-person expectations: This role is based in San Francisco, CA and requires in-person presence 4 days a week. In this role you will: Drive requirements alignment across engineering design, integration, testing, and validation for camera modules, LiDAR, IMUs, RADAR, proximity sensors, audio components and the systems they interact with. Coordinate the integration of modules including electrical, mechanical, harnessing, and software interfaces with the full robotic system with deep understanding of timelines to drive the respective PCBAs, enclosures, build and test fixtures, connectors and cables. Establish effective cadences for technical reviews, BOM readiness, change management, production releases, approvals, and decision tracking. Align harnesses, fasteners, assembly fixtures, test fixtures, and documentation so cross-functional teams can execute against a clear plan. Lead validation planning around functional, reliability, NVH failure modes, including testing needs, schedules, and exit criteria. Partner with manufacturing and supply chain to manage handoffs, lead times, dependencies, and production readiness. Drive tradeoff decisions across cost, qua

As a Forward Deployed Engineer on the Feature Flags team, you'll partner directly with customers to accelerate their feature flag implementations — from initial architecture consulting through prototype builds to full-scale migrations. This role is for someone who wants to write code with customers, not just advise them. You'll work hands-on inside customer codebases to unblock complex, high-stakes deployments, directly influencing deal velocity and customer success. Working closely with Sales, Solutions, and Engineering, you'll be the technical force that turns a signed contract into a live, adopted implementation. What You'll Do: Serve as the hands-on technical partner for strategic customers implementing Datadog Feature Flags, from pre-sales technical validation through post-sales delivery Consult on flag architecture and implementation approach for complex environments — multi-service, multi-platform, high-scale deployments Build prototype flag implementations directly in customer codebases to prove value and de-risk technical decisions early in the sales cycle Implement flags across diverse and advanced deployment modes (server-side, client-side, edge, mobile, streaming/real-time) tailored to each customer's stack Drive full flag migrations to completion — including legacy system cutover — efficiently and with minimal customer engineering burden Identify patterns across customer implementations and feed them back to Product and Engineering to improve the core product and reduce future implementation time Collaborate closely with Engineering on technical edge cases, product gaps, and implementation tooling Partner with Sales and Solutions to accelerate deal cycles by removing technical risk and uncertainty Who You Are: 5 years of professional software engineering experience, with hands-on coding ability across the stack you're deployed into Experience with feature flagging, experimentation, or config management systems (internal or vendor) Comfortable dropping i

About The Role & Team We’re looking for a Head of Product Marketing to define how Amplitude brings its multi-product portfolio to market. You’ll shape the narrative across our analytics platform, Statsig, and our proactive Agents—creating a clear, differentiated story while helping each product win with its target audience. This is a player-coach role . You’ll set the strategy and operating model for Product Marketing while staying close to the work: shaping positioning, leading major launches, co-building AI loops to deliver customer and competitive insights, and partnering with Product, Engineering, Sales, and Marketing. You’ll join at an important moment for the portfolio, as Amplitude expands beyond analytics and into experimentation to support the future of product development and iteration. If you’re excited by the opportunity to shape the story and market, build the team, and build an AI native PMM org , you’ll feel right at home. As a Head of Product Marketing, you will: Define Amplitude’s product narrative and positioning: Own the overarching product marketing strategy and point of view across our multi-product portfolio, including analytics, Statsig, and proactive agents. Develop a differentiated point of view and way to bring the company’s worldview to life, staying close to how teams at all stages of maturity curve are building. Lead GTM strategy for major products and launches: Partner with Product and Engineering to bring new products and capabilities to market—from positioning and messaging to launch strategy, enablement, customer proof, and adoption. Set a creative approach that caters to the audience, market, and maturity of each product. Build and coach a high-performing AI native PMM function: Set the team’s priorities, operating cadence, and bar for quality while developing PMMs into stronger strategists and storytellers. Turn customer and market insight into strategy: Develop a deep understanding of our customers, competitors, and market dyn

About Datadog: We're on a mission to build the best platform in the world for engineers to understand and scale their systems, applications, and teams. We operate at high scale—trillions of data points per day—allowing for seamless collaboration and problem-solving among Dev, Ops and Security teams globally for tens of thousands of companies. Our engineering culture values pragmatism, honesty, and simplicity to solve hard problems the right way. The Team: The Revenue Data Engineering Teams designs, builds and runs the data pipelines and helper systems to accurately and in a timely manner quantify our customers’ usage across all Datadog products. This team is at the leading edge of any new product we release. The Revenue Data Processing team builds and operates the data pipelines that does billing, and cost attribution for all Datadog products. We process terabytes of data daily to power revenue-critical systems and are at the center of every new product launch at Datadog. As a Senior Software Engineer, you will own meaningful parts of a large-scale, mission-critical processing platform — driving architectural improvements, building new billing capabilities, and maintaining the high reliability bar our downstream consumers depend on. You Will: Design and build high-throughput data pipelines for billing and cost attribution Drive platform improvements — latency reduction, Spark optimization, sharding, and cross-datacenter reliability Own root-cause investigations on billing accuracy issues in collaboration with Finance and Product teams Contribute to new billing features Work across Python and Scala, with technologies including Spark, Airflow, Trino, and Apache Iceberg Participate in on-call rotation and maintain a high reliability bar for production systems Contribute to engineering standards and help grow the technical culture of the team You Are: You have significant experience building and operating production data pipelines at scale using Spark and Airflow

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team Specialist Solutions Architects (SSA) are domain experts aligned to specific Stripe solutions and customer buying centers. We have in-depth knowledge of specific solution offerings and a deep understanding of customer challenges. We align with specialist product sellers on deals, advise the broader pre-sales team on complex opportunities, support pipeline development and revenue attainment, serve as an advisor on go-to-market sales plays, and provide critical insights to our product and engineering teams. What you’ll do You will collaborate closely with sales and pre-sales teams to drive pipeline and revenue targets, while also educating the product and engineering teams on market trends and strongly influencing the product roadmap. You will develop deep relationships with senior customer business leaders and grow Stripe's solution offerings with new and existing customers. As a subject matter expert, you will scale the broader organization by creating reusable assets and coaching others on complex, high-value opportunities.The team is looking for a payments optimization specialist with a proven track record of designing and deploying payment infrastructure for global enterprises. You will engage with customers as a thought leader in the advanced payments stack - helping them navigate multi-PSP environments, payment orchestration, adaptive pricing, and buy-now-pay-later integrations to maximize authorization rates, reduce costs, and impr

About BlockTech BlockTech is an algorithmic trading firm operating at the frontier of global crypto derivatives and spot markets. We trade 24/7 across some of the fastest-moving, most data-rich venues in finance. Crypto is one of the few markets where the gap between a good model and live PnL comes down to how fast and how reliably you can ship it. Abundant data, novel microstructure, and a short path to production mean the quality of our infrastructure directly moves the edge. We're looking for a Quantitative Developer to build that infrastructure and get our models into production. The role This is a hands-on engineering seat on our trading floor. You'll own the infrastructure that turns research models into production trading systems, working primarily in Python and Rust, the language our models and systems are written in. You'll build the frameworks and tooling that let quants ship their code to production and keep those systems running once they're live. You'll work shoulder-to-shoulder with researchers, traders, and fellow engineers, building the tooling, pipelines, and standards that let good ideas reach production quickly and safely, and helping raise the engineering bar across the floor. You will Build and own the infrastructure that takes models from research to production - data pipelines, backtesting, deployment, and monitoring. Turn research prototypes into robust, performant, production-grade code that runs reliably in live trading Work closely with quantitative researchers and traders to get new models live quickly and safely Own the systems you ship in production: monitor performance, diagnose issues, and keep latency and reliability high Improve the tools, standards, and pipelines the team relies on, raising the engineering bar across the floor What we're looking for 2+ years of software engineering experience, with a track record of shipping production-grade systems A strong academic foundation in a STEM discipline (computer science, mathematics, p