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Powder Coater Jobs

2,764 active opportunities · Updated for October 2026

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AG
Adani Group
📍 Raigarh• Full-time
1mo ago

The Manager - Medical Services will lead the medical and health services at the Raipur site, ensuring the well-being of employees and contractors. This role is pivotal in maintaining a healthy workforce, reducing downtime due to health issues, and aligning with Adani Power’s mission of creating sustainable value for all stakeholders. The role will also support the business unit’s operational excellence by providing timely medical interventions and promoting health awareness programs tailored to the unique needs of a large-scale thermal power plant environment. Source: Adani Group | Job ID: 51893

AG
Adani Group
📍 Singrauli• Full-time
1mo ago

The Electrical Foreman is responsible for overseeing the installation, maintenance, and safe operation of all electrical systems and equipment within the mine. This role ensures that all electrical work is conducted in compliance with the Coal Mines Regulation of 2017, maintaining high standards of safety, reliability, and efficiency. The Electrical Foreman coordinates with engineers, technicians, and mine management to implement electrical projects, troubleshoot issues, and ensure continuous power supply to support mining operations. Source: Adani Group | Job ID: 51897

AG
1mo ago

The Team Lead Admin will oversee and manage the administrative operations at the Chapar, District-Dhubri (Assam)site, ensuring seamless support for the business unit’s operational and strategic goals. This role is pivotal in maintaining efficient site operations, optimizing resource utilization, and fostering a conducive work environment. The position aligns with Adani Power’s mission to harness technology and innovation to transform India into a power-surplus nation by ensuring robust administrative support for its thermal power operations. Source: Adani Group | Job ID: 50779

AG
1mo ago

To manage end-to-end procurement activities for Capex, Opex, bulk materials, and services by ensuring timely sourcing, cost optimization, vendor development, contract management, and supplier performance monitoring. The role contributes to achieving organizational objectives through strategic sourcing, efficient procurement processes, risk mitigation, and strong supplier partnerships while supporting power plant operations and project requirements. Source: Adani Group | Job ID: 55384

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AG
1mo ago

To manage end-to-end procurement activities for Capex, Opex, bulk materials, and services by ensuring timely sourcing, cost optimization, vendor development, contract management, and supplier performance monitoring. The role contributes to achieving organizational objectives through strategic sourcing, efficient procurement processes, risk mitigation, and strong supplier partnerships while supporting power plant operations and project requirements. Source: Adani Group | Job ID: 56470

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S
Stripe
📍 Seattle• Full-time• Remote
1mo ago

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 The Stripe Dashboard helps millions of people around the world run their business—from managing integrations and analyzing fraud to resolving customer issues. The next chapter is about transforming the Dashboard into a "power tool" for payment professionals. The Dashboard team is responsible for the scaffolding of the Dashboard (e.g., navigation, search, settings), governing frameworks (e.g., information architecture), and core experiences that set the standard (e.g., managing your customers, customizing your home page). We're hiring a product manager to shape the Dashboard strategy, amplify its impact across the company, and accelerate Stripe's mission to increase the GDP of the internet. What you'll do You'll evolve the Dashboard to meet the needs of any business model. Improve wayfinding mechanisms to increase user productivity and product discovery. Shape the information architecture to encourage interoperability. Develop a strategy and roadmap for a more personalized Dashboard. Write the playbook for interoperability across the numerous layers of indirection in the Dashboard. Partner with third-party developers to understand how the Dashboard can better serve their needs. Responsibilities Make the Dashboard easier to use and more powerful Own the strategy and roadmap that makes the Dashboard uniquely good for any business model Collaborate with engineering and design across time zones (PST, EST, CET) to ship high-impact functionality th

REMOTEmachine learninggo
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P
1mo ago

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, Washington D.C., London and Amsterdam. We believe Plaid has the power to be the next-gen Credit Bureau - supporting large scale adoption of cash flow into the credit underwriting process. The Credit Decisioning platform team is responsible for building best-in-class cashflow based insights products that enable lenders to make more holistic lending decisions and empower broader access to Credit products for prospective borrowers. We own the systems and tooling that form the platform to build and serve these insights at huge scale, partnering with our Data partners to release new products yearly. You will be defining the future architecture of Credit insights products and executing against an ambitious product roadmap. You will partner with our Product, Data Science, and Machine Learning team to iterate on and productionize new insights that enable our customers to make more holistic lending decisions. Responsibilities: Leading technical architecture and execution across credit insights products: everything from data fetching and online feature serving for API requests, to offline production pipelines and tooling for model training. Scaling and evolving the architecture through an expected ~100x increase in load from deterministic factors

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O
Okta
📍 Bengaluru• Full-time
1mo ago

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. People Technology - Principal Product Analyst & Delivery Lead: Growth and Talent The Enterprise Technology Team The Enterprise Technology team builds and delivers the secure, scalable systems that power how our business runs. Our People Technology Team sits at the heart of this work, overseeing the full Hire-to-Retire technical ecosystem—including core applications like Workday, Greenhouse, and Cornerstone—and ensuring these platforms evolve alongside the company's growth. We partner closely with HR, Talent Acquisition, Talent Management, and Business Operations to bring data-driven, compliant, and innovative solutions to life. The Opportunity Reporting to the Director of People Technology, this role will serve as a Delivery Lead and Principal Product Analyst for Okta's People Technology portfolio, focused on the Growth & Talent pod. In this broad role, you will lead complex, multi-system initiatives spanning Talent Acquisition, Talent Management, Performance, Learning, and Career Development. You will serve as the crucial conduit between Product Management, Recruiting/Talent Acquisition leadership, Talent Management, and People Operations, driving technical execution against a prioritized backlog to align with Okta's strategic workforce goals. What You'll Be Doing Strategic Leadership: Technically scope and lead the delivery of multi-quarter, high-visibility, executive-sponsored projects across the Growth & Talent ecosystem (e.g., Greenhouse AT

awsrestagile
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PE
Private Employer
📍 Washington• Full-time• Hybrid
1mo ago

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Palantir is seeking a Subcontracts Manager to join our broader U.S. Government contracts and legal team, which is key to Palantir’s mission. We’re a team that values creativity and teamwork. Whether operating solo or collaboratively, our goal is to enable our U.S. Government agency customers and partners to unlock their data and power critical operations. In this role, you’ll provide strategic support for business-to-business relationships throughout our supply chain, including negotiating and managing subcontracts, teaming agreements, and various supplier agreements. You’ll be the primary point of contact for communications with our subcontractors and other commercial partners, and also drive communications with internal teams like business development, finance, and security compliance in order to negotiate and sign agreements with our partners. You’ll manage agreements and workflows that are critical to our U.S. Government work, including vendor and supplier contracts, programs with strategic partners, and subcontractor deliverables.

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Biohub
📍 Redwood City• Full-time• Hybrid• $241K – $331K/yr
1mo ago

Biohub is the first large-scale initiative bringing frontier AI models, massive compute, and frontier experimental capabilities under one roof. We're building a general-purpose system to accelerate scientific discovery, integrating frontier AI models, biological foundation models, and lab capabilities, with the ultimate goal of curing disease. Our technology powers scientists around the world, translating AI capabilities into tools that accelerate research everywhere. The Team The AI Cluster Production Engineering team is part of the AI Compute Platform organization at Biohub, a non-profit research lab committed to open science and open-source AI. We own the design, operation, and reliability of large-scale multi-GPU AI clusters that power frontier AI biology research: protein language models, genomic foundation models, and scientific reasoning systems built to be shared, not monetized. Our clusters run Slurm on Kubernetes infrastructure and support everything from day-to-day AI researcher workflows to multi-node hero training runs at thousands of GPUs. The team works at the intersection of AI tooling, distributed systems, HPC, and frontier AI, debugging deep AI infrastructure problems and building AI systems critical to the entire AI organization. The Opportunity CZ Biohub's mission is to cure or prevent all human disease. Achieving that requires training frontier-scale AI biology models, and that demands reliable, high-performance compute infrastructure. This is production engineering work at a frontier AI lab, with the twist that the mission is biology and the science is open. You'll keep GPU clusters running at high utilization, debug the toughest distributed systems failures, and build the operational foundations for scaling to multi-thousand GPU hero runs. The technical problems are genuinely hard (e.g., multi-node distributed training, InfiniBand fabrics, large-scale storage, Slurm at scale) inside an organization where the work is aimed at helping peop

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About the Role & Team Every AI insight, every experiment, every cohort at Amplitude starts with a query. Our in-house OLAP engine, Nova , processes trillions of events in real time — turning raw behavioral data into fast, trustworthy answers that power decisions for thousands of product teams worldwide. We’re entering a world where AI agents don’t just assist product teams — they ship features, run experiments, and make prioritization calls autonomously. What makes that possible is agents’ ability to verify their work against real product data continuously. That makes Nova the critical infrastructure in the loop, and as non-stop agents become the main source of queries, the demand on Nova’s throughput, correctness, and operational rigor grows dramatically. We’re looking for a Staff Software Engineer who wants to go deep on both the engine internals and the infrastructure underneath it. You’ll work across the full stack of a modern OLAP system — query planning and execution, columnar storage and encoding, distributed compute, caching, and cloud infrastructure — while driving meaningful improvements to performance, cost-efficiency, and reliability at scale. You’ll influence technical direction through your work, your design reviews, and your mentorship of other engineers on a team of ~10. This role is ideal for someone who finds real satisfaction in making a complex distributed system faster, cheaper, and more reliable — and who wants to do that work on a system that directly powers the product experience for thousands of customers. What You’ll Do Build and evolve core query engine infrastructure Work across Nova's query execution engine and distributed compute layer: query planning, columnar storage formats, encoding and compression, caching, and cluster-level resource management. Design and implement new capabilities as Nova expands to support more warehouse-imported data types, such as metrics, profiles, and dimensions. Design for high-throughput automated quer

pythonjavaredis
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About the Role & Team Every AI insight, every experiment, every cohort at Amplitude starts with a query. Our in-house OLAP engine, Nova , processes trillions of events in real time — turning raw behavioral data into fast, trustworthy answers that power decisions for thousands of product teams worldwide. We're entering a world where AI agents don't just assist product teams — they ship features, run experiments, and make prioritization calls autonomously. What makes that possible is agents' ability to verify their work against real product data continuously. That makes Nova the critical infrastructure in the loop, and as non-stop agents become the main source of queries, the demand on Nova's throughput, correctness, and operational rigor grows dramatically. We're looking for a Senior Software Engineer who wants to go deep on the engine internals and the infrastructure underneath. You'll own significant components of a modern OLAP system — across query execution, columnar storage and encoding, distributed compute, caching, and cloud infrastructure — and drive meaningful improvements to performance, cost-efficiency, and reliability. You'll grow your technical influence through the quality of your code, your design contributions, and your collaboration with other engineers on a team of ~10. This role is ideal for someone who finds real satisfaction in making a complex distributed system faster, cheaper, and more reliable — and who wants to do that work on a system that directly powers the product experience for thousands of enterprise customers. What You'll Do Build and improve core query engine components Contribute across Nova's query execution engine and distributed compute layer: query planning, columnar storage formats, encoding and compression, caching, and cluster-level resource management. Implement new capabilities as Nova expands to support more warehouse-imported data types, such as metrics, profiles, and dimensions. Help ensure Nova's components support

pythonjavaredis
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A
1mo ago

About the Role & Team We’re looking for an Engineering Manager to lead the Data Infrastructure team within Statsig Experiment at Amplitude. You will lead a multidisciplinary team of software engineers, data engineers, and data scientists responsible for the systems that power experimentation at scale. The team owns three critical areas: Data ingestion: Collecting and importing experiment exposures, custom events, OpenTelemetry data, and real user monitoring data across SDKs, streaming systems, cloud storage, and customer data warehouses. Data computation: Building distributed computation systems that transform raw data into accurate, timely experiment results. Stats engine: Developing and productionizing the statistical methods that help customers make trustworthy decisions from their experiments. This is not a traditional data engineering management role. We are looking for a leader with a solid data science and statistical foundation who can connect advances in experimentation methodology with scalable production systems. You will help set our technical and scientific direction, translating new statistical methods and machine learning research into capabilities that customers can use reliably at scale. You’ll partner closely with data scientists, engineers, product managers, and customers to advance the state of experimentation. The ideal candidate is equally comfortable discussing causal inference and statistical power with data scientists, distributed computation architectures with engineers, and experimentation strategy with customers. What You’ll Do Lead and grow the team responsible for Statsig’s data ingestion, experiment computation, and stats engine. Define the technical and scientific strategy for advancing experimentation across both Statsig Cloud and warehouse-native deployments. Partner with data scientists and engineers to turn new statistical and causal inference methods into scalable, reliable product capabilities. Evolve our data and computatio

restmachine learningai
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Vanta
📍 United States• Full-time
1mo ago

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. As a Staff Product Manager, AI Foundations at Vanta, you will build the core AI capabilities that power Vanta’s AI product experiences: the agent harness our agents are built on, and the quality and evaluation stack that makes them trustworthy. The AI pillar is making Vanta the intelligence layer for security and compliance work, wherever that work starts. We build the AI products and foundations that work across Vanta: a cohesive first-party Vanta Agent experience, headless surfaces like MCP and CLI that bring Vanta into tools like Claude Code and Codex, and the shared capabilities that let every team ship high-trust AI products. This role sits behind Vanta’s customer-facing AI experiences. Today, every team shipping AI features has to answer the same hard questions on their own: how to define quality, how to evaluate it, and how to know a change is safe to ship. You will turn those answers into shared foundations, so the AI experiences our customers rely on get better and more trustworthy over time. What you’ll do as a Staff Product Manager, AI Foundations at Vanta: Own the strategy and roadmap for Vanta’s core AI capabilities: the agent harness and the AI quality and evaluation stack Live in agent traces to build intuition for how customers actually use our AI products, and turn that into the highest-leverage improvements Make Vanta’s AI products win on quality: build golden datasets, automated evaluators aligned to expert judgment, and self-serve tooling so PMs, subject-matter experts, and designers can run evals without an engineer in the loop Scale the agent harness: shape the core capabilities Vanta’s agents are built on

restaigo
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V
Vanta
📍 United States• Full-time
1mo ago

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. As Vanta expands upmarket, we have a unique opportunity to redefine how security and compliance programs are operated, while giving customers the flexibility to run their programs their way, especially in an AI-powered world. GRC Platform is a new team at the center of this effort, building the foundational capabilities that enable mid-market and enterprise customers to operate their GRC programs efficiently and at scale with Vanta. As the Senior Product Manager for GRC Platform, you will own core platform capabilities and primitives that customers rely on every day and that power critical GRC workflows—such as search, imports, exports, custom fields, and approval workflows. You will evolve these capabilities into more intelligent, agentic experiences that are increasingly flexible, automated, and adaptive, helping customers save time, reduce cognitive load, and focus on higher-value work. What you’ll do as a Senior Product Manager, GRC Platform at Vanta: Own the GRC Platform strategy and roadmap, delivering platform primitives and customer facing features leveraged across Vanta’s GRC product Distill complex problems and opportunities into clearly prioritized product goals, focus for your team, and high-quality execution in collaboration with stakeholders across the company. Partner closely with teams across GRC to develop a deep understanding of customer needs, identify opportunities for platform leverage, and translate those insights into intuitive, agentic experiences that solve critical user needs. Drive AI-first product redesigns, including defining model evaluation criteria and managing the transition from legacy experien

restaigo
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