To provide technical expertise and support in the execution of PNG projects, ensuring that all engineering activities meet design specifications, safety standards, and quality requirements. The Projects Engineer plays a crucial role in overseeing on-site progress, resolving technical issues, and maintaining clear documentation, contributing to the successful and timely completion of projects while supporting the overall goals of the project team. Source: Adani Group | Job ID: 53352
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About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . Pinterest is hiring a Director, Marketing Technology & Innovation, the most senior technology leader within our Marketing, Creative and Communications organization. To start, you will lead a hybrid team of Technical Program Managers (TPMs), AI Solutions Engineers, and third party platform engineering partners. This role starts as a player-coach. You will be hands-on alongside your teams, finding resourceful solutions as the function takes shape, with the autonomy to make a few strategic hires as it grows. The right person is a genuine leader and developer of people who has not lost touch with the technology itself, still knows how to build and close enough to the stack to make smart decisions and earn the trust of both marketers and engineers. What you'll do: Lead AI Solutions & Platform and Tools Own the AI roadmap and intake proc
Job Title: Data Analyst (Finance) Location: Noida / Gurgaon About the Role: We are looking for a Data Analyst with prior experience in a Finance team to help analyze financial data, track payments performance, and automate daily reporting. You will work closely with Finance, FP&A, and Product teams to drive data-backed financial decisions. Key Responsibilities: ● Dashboards & Reporting: Create and maintain Power BI/Tableau dashboards to track financial metrics like revenue, margins, transaction volumes, and operating costs. ● Data Analysis: Query large databases using SQL to understand transaction trends, cost structures, and profitability. ● Reconciliation & Auditing: Reconcile transaction data across banks, payment gateways, and accounting records to ensure accuracy. ● FP&A Support: Help Finance and FP&A teams with monthly closings, budgeting, variance analysis, and revenue forecasting. ● Process Automation: Automate routine financial reports using SQL and Python to reduce manual Excel work. What We Are Looking For: ● Experience: 2–4 years of experience as a Data Analyst within a Finance, Payments, or FinTech environment. ● Technical Skills: Strong proficiency in SQL and Excel. Visualisation dashboards or business intelligence tools (Tableau, Power BI etc) ● Finance Knowledge: Solid understanding of financial basics, profit & loss (P&L), payments/settlements, and unit economics. ● Education: Bachelor’s degree in Finance, Data Analytics, Engineering, Economics, or a related field.
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
Opportunity Overview: We are seeking a Sr Business Intelligence Engineer to join our Intelligence team. In this role, you will drive the development and optimization of our analytical infrastructure, enabling efficient, scalable, and consistent reporting and analytics across the organization. You will play a critical role in shaping the foundation of our BI ecosystem—working at the intersection of engineering, data modeling, and stakeholder enablement. This is an ideal opportunity for an experienced BI engineer who can execute cross-functional projects, design performant data models, and contribute to the execution of a unified data strategy across platforms. You will also provide guidance and mentorship to junior team members and contribute to the evolution of Cohere’s modern data stack and governance practices. What you’ll do: Lead the execution and refinement of our business intelligence and analytics architecture, ensuring consistency, performance, and scalability across dashboards and self-service tools. Design and implement robust semantic and dimensional data models supporting operational, clinical, and strategic analytics use cases. Collaborate closely with data platform, analytics, and product teams to define shared data definitions, build source-of-truth datasets, and align transformations with stakeholder needs. Improve data pipeline efficiency and maintainability by establishing and enforcing best practices in dbt modeling, testing, and documentation. Support release management, quality testing, version control, and promotion of analytics assets across environments. Enable data providers and analysts to deliver high-impact dashboards and KPI frameworks using Tableau, with an emphasis on performance, usability, and governance. Serve as the primary Tableau Cloud SME for the organization, including user management, security, performance tuning, and environment configuration. Lead integration of Tableau dashboards into front-end web applications using the Ta
About Backblaze Backblaze is the object storage leader in the open cloud movement, fueling customer success with cloud storage built purposefully to unlock budgets, unburden administrators, and unleash innovators. Together with our partners, we’re helping customers break free from the restrictive, overpriced legacy solutions that hold them back, and blaze forward with the full power of the open cloud in their hands. Founded in 2007, we scaled the business with less than $3 million in outside funding until 2021, when we did a traditional IPO on the Nasdaq stock exchange. Today, Backblaze generates over $100m in revenue and is the leading specialized storage cloud - managing over three billion gigabytes of data storage for 500K+ customers in 175+ countries, including businesses, developers, IT professionals, and individuals. About the Role We are seeking a Site Reliability Engineer II (SRE II) to help ensure the stability, scalability, and reliability of our services and infrastructure. This role focuses on building automation, maintaining observability, and supporting incident response to keep customer-facing systems performing at their best. The SRE will collaborate with engineering, product, and operations teams to embed reliability practices into day-to-day development and operations while contributing to tools and processes that improve efficiency and reduce manual effort. Key Responsibilities Service Reliability & Operations Support the availability and durability of critical services across production environments. Monitor service health using SLIs, SLOs, and error budgets, and escalate issues when thresholds are at risk. Participate in on-call rotations, incident response, and post-incident reviews to drive service improvements. Follow established ITIL/OSS processes (incident, change, problem, and capacity management). Automation & Tooling Develop automation for common operational tasks, reducing manual intervention and toil. Contribute to monitoring,
As a Staff Engineer on the Data Platform Experience team, you'll help shape how Datadog engineering teams build, operate, and evolve products on the Observability Data Platform. You'll lead the design and delivery of shared platform capabilities that reduce developer friction, improve operational visibility, and enable engineering teams to move faster with confidence. This role combines deep distributed systems expertise with technical leadership across multiple teams, influencing platform strategy while remaining hands-on in the code. You'll have the opportunity to solve company-wide challenges spanning cost intelligence, operational tooling, platform health, and developer experience. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do: Lead strategic engineering initiatives that improve how product teams build, operate, and evolve services on the Observability Data Platform. Design and build scalable platform capabilities for cost intelligence, including cloud cost allocation, trend analysis, and optimization recommendations. Develop operational intelligence and self-service tooling that helps engineering teams understand platform health, troubleshoot incidents, and improve operational efficiency. Drive reusable platform services and developer workflows that increase engineering autonomy while reducing operational complexity across multiple products. Provide technical leadership across teams by influencing architecture, mentoring engineers, and raising engineering standards through hands-on technical contributions. Participate in the team's on-call rotation and continuously improve platform reliability, observability, and operational excellence. Who You Are: You have experience designing and building large-scale SaaS or cloud platforms with deep expertise i
As a Staff Engineer on the Data Platform Experience team, you'll help shape how Datadog engineering teams build, operate, and evolve products on the Observability Data Platform. You'll lead the design and delivery of shared platform capabilities that reduce developer friction, improve operational visibility, and enable engineering teams to move faster with confidence. This role combines deep distributed systems expertise with technical leadership across multiple teams, influencing platform strategy while remaining hands-on in the code. You'll have the opportunity to solve company-wide challenges spanning cost intelligence, operational tooling, platform health, and developer experience. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do: Lead strategic engineering initiatives that improve how product teams build, operate, and evolve services on the Observability Data Platform. Design and build scalable platform capabilities for cost intelligence, including cloud cost allocation, trend analysis, and optimization recommendations. Develop operational intelligence and self-service tooling that helps engineering teams understand platform health, troubleshoot incidents, and improve operational efficiency. Drive reusable platform services and developer workflows that increase engineering autonomy while reducing operational complexity across multiple products. Provide technical leadership across teams by influencing architecture, mentoring engineers, and raising engineering standards through hands-on technical contributions. Participate in the team's on-call rotation and continuously improve platform reliability, observability, and operational excellence. Who You Are: You have experience designing and building large-scale SaaS or cloud platforms with deep expertise i
About the Team OpenAI’s Industrial Compute organization is building the infrastructure required to support the next generation of frontier AI systems. Through a combination of strategic partnerships and self-built data center campuses, we are scaling the power, cooling, electrical, mechanical, and controls infrastructure needed to deliver compute at unprecedented scale. The Commissioning organization is responsible for ensuring this infrastructure is safely tested, validated, integrated, and transitioned into reliable operations. For our self-build campuses, the team operates through a hybrid delivery model: OpenAI provides commissioning leadership, discipline ownership, governance, and project integration, while commissioning partners provide field and test engineering capacity to support inspections, startup, testing, and turnover. About the Role We are seeking a Commissioning Project Lead to own the commissioning strategy and execution for a large-scale, self-build data center project. You will lead the overall commissioning program from early construction planning through startup, functional testing, integrated systems testing, and final turnover. You will establish the commissioning execution plan, integrate commissioning activities into the master project schedule, coordinate multidisciplinary readiness, and lead the vendor commissioning partners providing field and test engineering capacity. This role serves as the primary commissioning interface to project leadership, construction management, contractors, equipment vendors, operations, and commissioning partners. You will be responsible for creating clarity across organizations, identifying readiness and schedule risks early, and ensuring the facility progresses through testing and turnover against clearly defined acceptance criteria. The role will initially support planning and coordination in a hybrid capacity and transition to full-time onsite presence as construction, inspections, startup, testing, and t
The Team + The Role Pendo’s Technical Support Engineers are the diagnostic and strategic layer between customers and the product. This small, global team sits within Engineering and partners daily with Product, Engineering, and Customer Engineering across the US, EMEA, and APAC. The team does not operate like a help desk; it solves technical problems, strengthens customer outcomes, and turns customer signal into product insight. As a Sr. Technical Support Engineer, you will own customer issues end-to-end across Pendo’s web and mobile products, from triage and debugging to resolution, documentation, and feedback loops. You will handle break/fix issues, how-to questions, configuration guidance, bug reproduction, and complex escalations while using AI tools to accelerate research, drafting, troubleshooting, and knowledge capture. At the senior level, you will also serve as a go-to technical resource for peers and contribute to the cross-functional work that makes the support function stronger. This role is based in our Raleigh office. What this looks like day-to-day Support queue ownership: You triage, diagnose, and resolve technical issues across Pendo’s web and mobile products, including break/fix, how-to, best practice, and configuration questions. You manage urgency based on customer impact and own each case until the customer’s problem is actually solved. Technical guidance: You provide targeted technical assistance on platform usage, configuration, and best practices for customers in your segment. Each engagement is scoped to the issue at hand, with clear resolution, documentation, and a path forward that helps the customer move independently. Customer signal: You translate customer pain into reproducible test cases, clear bug reports, and prioritized feedback for Product and Engineering. You also surface customer health signals and strategic gaps to Account Owners and Customer Success so the right teams can act. Knowledge at scale: You create and maintain intern
To provide technical expertise and support in the execution of PNG projects, ensuring that all engineering activities meet design specifications, safety standards, and quality requirements. The Projects Engineer plays a crucial role in overseeing on-site progress, resolving technical issues, and maintaining clear documentation, contributing to the successful and timely completion of projects while supporting the overall goals of the project team. Source: Adani Group | Job ID: 53233
To provide technical expertise and support in the execution of CNG projects, ensuring that all engineering activities meet design specifications, safety standards, and quality requirements. The Projects Engineer plays a crucial role in overseeing on-site progress, resolving technical issues, and maintaining clear documentation, contributing to the successful and timely completion of projects while supporting the overall goals of the project team. Source: Adani Group | Job ID: 53130
We’re hiring a Sr. Customer Success Manager to turn new deployments into measurable outcomes for engineering teams using Coder. You guide customers from onboarding through renewal, clearing blockers, and aligning our platform to their goals. You lead rollouts, monitor health and usage, and keep stakeholders informed. You partner with Sales on expansions and renewals, and with Support and Product on issues and feedback. What you’ll do here Own onboarding and rollout plans for new customers; coordinate with Sales for a smooth, successful implementation of Coder’s platform Remove barriers to adoption so customers achieve their desired outcomes expediently Engage with customers to understand goals, challenges, and use cases, and provide tailored guidance and recommendations Identify expansion opportunities within existing accounts, and partner with Sales on upsell and cross‑sell motions Oversee renewals and forecasting, ensuring timely, successful commitments Serve as the primary point of contact for inquiries, issues, and escalations, and collaborate with Coder teams to resolve Monitor and report on customer health and usage Develop deep expertise in Coder’s products to provide global customer coverage What we’re looking for 3+ years in software/SaaS sales and/or customer success, with enterprise experience preferred Working knowledge of cloud infrastructure, DevOps, developer tools, coding agents, platform engineering, CI/CD, and the SDLC Hands-on experience with Salesforce and other industry-standard CS platforms History of building strong relationships across executive, business, and technical stakeholders Consistent internal advocacy for customers and the ability to provide actionable feedback for Product and cross‑functional teams Habit of staying current on industry trends, CS best practices, and the competitive landscape Startup experience High EQ with strong verbal communication and technical writing skills Self‑motivated with a creative and analytical approach
We are looking for a hands-on Project Manager with 4-5 years of experience driving technical programs within engineering teams. The ideal candidate has strong command of SDLC processes, is fluent with Atlassian tooling, and has a track record of managing stakeholders across product, engineering, and senior leadership. This role requires someone who can run day-to-day program management with an agentic, ownership-driven mindset — proactively identifying risks, unblocking teams, and reporting on productivity without needing constant direction. Key Responsibilities • SDLC & Program Delivery: Plan, manage, and drive execution of technical programs across the full SDLC — from requirements and design through development, testing, release, and post-launch support. • Technical Program Management: Own sprint planning, backlog grooming support, release schedules, and cross-team dependency tracking for engineering programs. • Atlassian Tooling: Configure, maintain, and drive adoption of Jira, Confluence, and related Atlassian tools for project tracking, workflows, dashboards, and documentation. • Stakeholder Management: Partner closely with product managers, engineering leads, and senior leadership to align on priorities, timelines, trade-offs, and status; run steering/status meetings and executive updates. • Productivity Reporting: Track, analyze, and report team and program productivity metrics (velocity, cycle time, throughput, sprint predictability) and translate them into actionable insights for leadership. • Risk Management: Proactively identify, log, and mitigate program and delivery risks; maintain risk registers and drive timely resolution of blockers and issues. • Agentic Program Ops: Independently manage day-to-day program operations — standups, follow-ups, documentation, and coordination — with an agentic, self-driven approach that minimizes hand-holding. • Documentation & Reporting: Maintain clear, up-to-date program documentation, RAID logs, roadmaps, an
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. Job Summary: We are seeking a technically proficient and proactive Senior AI Engineer to support, develop, and enhance cloud-based AI solutions, AI Agents, and custom applications across Microsoft Azure, Amazon Web Services AWS, and Google Cloud Platform GCP . This role will be responsible for designing, developing, deploying, and supporting enterprise-grade AI applications, agentic solutions, RAG-based systems, automation workflows, and cloud-native integrations. The ideal candidate should have strong hands-on experience in AI Agent development, application development, multi-cloud AI platforms, backend and frontend engineering, DevOps, CI/CD, Infrastructure as Code, security, monitoring, and operational excellence . The role requires deep technical expertise , strong troubleshooting skills, and the ability to collaborate with cloud, application, data, security, and platform teams to deliver scalable, secure, and reliable AI capabilities. Key Responsibilities: 1. AI Agent
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