Lead Thermal Simulation Engineer Jobs

About the Team OpenAI is building the next generation of advertising for an AI-powered world. As AI changes how people discover information, explore possibilities, and make decisions, we believe this presents a huge opportunity for small and medium-sized businesses to connect with customers in new ways. The SMB Ads Marketing team is building this opportunity from the ground up. We define how businesses discover OpenAI’s advertising platform, become successful advertisers, and grow their investment over time. Working closely with Product, Ads Engineering, Data Science, and Sales, we combine customer insight, rigorous experimentation, and fast execution to turn early opportunities into scalable growth. About the Role We are hiring a Lead, Ads Prospecting & Growth Intelligence to build the intelligence and orchestration platform powering OpenAI’s ads business. This person will help us identify the right companies and people, understand why they are relevant, determine the right next action, and learn from what happens afterward. Own the prospecting function for the ads business, serving SMB Ads while building a foundation reusable across segments. Set the vision, operating model, roadmap, platform choices, business rules, adoption, and outcomes; and partner with Ads Engineering, Data Science, and internal platform teams. Decide what to build in-house, enable through internal platforms, or deliver through selected vendors and partners. In This Role, You Will Lead the function’s strategy, roadmap, operating model, and adoption. Connect platform investments to measurable advertiser and business outcomes. Define a unified prospect, account, contact, and advertiser data model. Establish standards for identity, data quality, provenance, freshness, confidence, and consent. Combine market, intent, behavioral, product, CRM, campaign, and customer-success signals to improve targeting and customer engagement. Design enrichment and verification workflows. Evaluate in-house cap

Build something people love Wealthsimple is Canada’s leading financial innovator. The company offers a full suite of simple, sophisticated financial products across managed investing, do-it-yourself trading, cryptocurrency, tax filing, spending and saving. Wealthsimple currently serves more than 4 million Canadians and holds over $155 billion in assets under administration. The company was founded in 2014 by a team of financial experts and technology entrepreneurs, and is headquartered in Toronto, Canada. We're proud of what we've built — and we're just getting started. Read our Culture Manual and learn more about how we work . About the Team Great work happens in spaces designed for it. Wealthsimple's Workplace Operations team is responsible for delivering safe, functional, and welcoming environments for our people. We believe in unreasonable hospitality - going beyond what's expected, in ways big and small, to remove friction and create space for people to focus on what matters. As part of the team, you'll help shape how our office experience scales, creating a best-in-class workplace that enables our employees to do their best work and helps drive the business forward. About the Role As Lead, Workplace Operations, you own the experience of the physical workplace itself: the systems, facilities, F&B, and workplace safety that every Wealthsimpler relies on, across every hub in Canada and the US. You set the roadmap and govern the standard for all of it, end to end. This is a hands-on operational role reporting to the Senior Manager, Real Estate Operations within People Operations, so you're the person people escalate to when there’s an operational issue with no playbook, and you’ll be trusted to make the call. What you’ll do Own the annual workplace operations roadmap across all hubs, set priorities against department goals, and drive programs from planning through rollout. Act as the primary escalation point for operational issues where there is no established

Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you’ll be part of a passionate team dedicated to accomplishing hard things, together. Lead AI Developer Tooling Engineer Grow your engineering career building the developer tools that power AI automation for the world's largest enterprises. This role is based at our ​h​eadquarters in ​McLean, Virginia. Appian was built on a culture of in-person collaboration, which we believe is a key driver of our mission to be the best. Employees hired for this position are expected to be in the office 5 days a week to foster that culture and ensure we continue to thrive through shared ideas and teamwork. We believe being in the office provides more opportunities to come together and celebrate working with the exceptional people across Appian. ABOUT THE TEAM Appian Engineering spans the full depth of our platform: from the foundational layers that power enterprise scale, to the AI capabilities redefining what automation can do. We operate in a highly collaborative, fast-paced environment focused on technical precision, continuous learning, and high code quality. By joining our team, you will solve real-world problems that directly shape how Appian delivers our AI-Powered Process Automation platform to enterprises around the world. THE OPPORTUNITY As a Lead AI Developer Tooling Engineer, you will serve as a technical linchpin for the team building the tools Appian's own engineers rely on — IDEs, CLIs, code-analysis, and CI/CD workflows — and the layer that brings AI capabilities into their daily development. Equipped with cutting-edge AI tooling yourself, you'll design and deliver developer experiences of real sophistication, shape engineerin

Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you’ll be part of a passionate team dedicated to accomplishing hard things, together. Lead Applied AI Engineer Grow your engineering career building the AI systems that understand, model, and rebuild enterprise applications — powering AI automation for the world's largest enterprises. This role is based at our ​h​eadquarters in ​McLean, Virginia. Appian was built on a culture of in-person collaboration, which we believe is a key driver of our mission to be the best. Employees hired for this position are expected to be in the office 5 days a week to foster that culture and ensure we continue to thrive through shared ideas and teamwork. We believe being in the office provides more opportunities to come together and celebrate working with the exceptional people across Appian. ABOUT THE TEAM Appian Engineering spans the full depth of our platform: from the foundational layers that power enterprise scale, to the AI capabilities redefining what automation can do. We operate in a highly collaborative, fast-paced environment focused on technical precision, continuous learning, and high code quality. By joining our team, you will solve real-world problems that directly shape how Appian delivers our AI-Powered Process Automation platform to enterprises around the world. THE OPPORTUNITY As a Lead Applied AI Engineer, you will serve as a technical linchpin for the team building AI systems that reason about enterprise applications end to end — spanning agents and orchestration, specification extraction from existing systems, application intelligence and retrieval, and rigorous LLM evaluation. These skills are shared across the team, so you'll bri

CSQ427R405 Role overview We are looking for a Lead Learning Product Specialist to own the platform learning experience for Databricks customers, partners, and internal practitioners. You will sit at the intersection of product, UX, and learning science, building the systems that help data and AI teams build skills needed to become successful and confident users of the Databricks platform. You’ll define how users discover, practice, and demonstrate skills across in-product journeys, training, and AI-assisted guidance. You will work closely with engineering, design, curriculum, and go‑to‑market teams to translate pedagogical goals into scalable platform capabilities, from adaptive learning flows and assessments to analytics that prove real skill development. Key responsibilities Define and drive the product vision, strategy, and roadmap for AI‑first learning systems on the Databricks platform, anchored on contextual, in the flow of work enablement and a unified skills infrastructure. Design experiences that surface targeted knowledge precisely when users need it, triggered by real work context (e.g., usage patterns, errors, task types), reducing interruptions and friction. Translate learning and pedagogical goals into platform capabilities such as learner models, skills graphs, progress tracking, adaptive learning paths, assessments, and feedback loops. Partner with UX and content design to create intuitive, embedded guidance and learning patterns that feel like part of the workflow, not separate training destinations. Collaborate with platform and infrastructure teams to ensure learning and skills systems are reliable, secure, performant, and able to serve global enterprise customers at scale. Define and evolve predictive signals and analytics that give proactive visibility into emerging skills and capability gaps, enabling action before they impact business outcomes. Build features and tooling that allow enablement teams to deliver at-scale personalizati

Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet. Are you a digital transformation leader ready to architect the AI-driven future of the Banking sector? This is not a standard process optimization role. We are looking for a Lead Value Engineer to own customer success and drive high-stakes SaaS and AI adoption across top-tier global financial institutions and regional banking enterprise accounts. You will serve as the strategic bridge—translating complex financial and operational needs into technical strategy. As a trusted advisor to C-suite executives (CRO, CIO, CFO, Head of Retail/Wholesale Banking), you will blend deep banking DNA with elite management consulting and an AI-first mindset to realize maximum customer value. The Impact You Will Drive Value Architecture: Translate executive banking priorities into high-impact AI use cases (e.g., intelligent credit underwriting, automated fraud mitigation, hyper-personalized wealth advisory) and Value Realization Frameworks. Solution Blueprints: Architect scalable, end-to-end data flows to resolve complex operational bottlenecks across legacy core banking platforms, payment rails, and loan origination pipelines. Financial Quantification: Build data-backed business cases driving $10M+ in OPEX savings, risk reduction, or net-new re

What we’re doing isn’t easy, but nothing worth doing ever is. Diligent builds helpful robots that work safely and autonomously in real world environments. We move quickly, solve messy problems, and care deeply about reliability at scale. As a Fleet Engineer, you'll own the reliability and continuous improvement of our deployed robotic fleet — leading hands-on investigations into how and why robots fail in the field, across the mobile base, charging/docking, motion and power, connectivity (modem), and sensor hardware. You'll combine remote data analysis with bench/lab failure analysis at our Austin HQ, turning field-technician reports and fleet data into clear problem statements, validated root causes, and corrective actions driven to closure with engineering, operations, manufacturing, and vendors. We are hiring a Lead Engineer, Issue Management & Triage to lead the systems, tooling, and team at the intersection of our Customers, Remote Operations Center (ROC), and Engineering. This is a highly technical, hands-on role focused on building the infrastructure that powers how we detect, triage, diagnose, and resolve issues across a deployed robotic fleet. You will work deeply with Engineering teams to design classification frameworks, build internal tools, and develop automation pipelines that improve reliability at scale. Location: Austin preferred, Remote possible (U.S.) Travel: if remote up to ~50% travel to Austin, TX (especially in the your first 90 days) What You’ll Do: Own Issue Management & Triage Systems Design and own end-to-end systems for issue intake, triage, and escalation. Define severity frameworks, SLAs, and ensure issues are consistently structured for engineering prioritization. Build Tools & Automation (Hands-On) Develop automation and pipelines to ingest, process, and classify operational data, reducing manual triage effort. Contribute directly to codebases (Python, backend services) and partner with Engineer

The Lead Solutions Expert – Technology is responsible for end-to-end ownership of digital and operational technology solutions at Adani Natural Resources. The role bridges plant-level OT systems, digital platforms, and enterprise IT to ensure secure, scalable, and business-aligned technology deployment in Metals & Mining vertical. Source: Adani Group | Job ID: 58341

Lead Security Engineer – Proactive Security — 7000 Target Pkwy N,NCD-0375 Brooklyn Park,MN 55445. Apply via Workday.

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 . tvScientific by Pinterest is the Performance TV platform built for advertisers who want to drive measurable business outcomes. We combine media buying, optimization, measurement and attribution in one platform to make CTV a more accountable, effective performance channel. We’re looking for a Lead Ads Product Marketing Manager to oversee go-to-market strategy for tvScientific’s integration into Pinterest Ads Manager. You’ll turn complex product capabilities and performance insights into clear customer value, compelling narratives and launch programs that drive adoption. What you’ll do: Set and execute the go-to-market strategy for CTV capabilities in Pinterest Ads Manager, shaping positioning, messaging, launch planning, enablement and adoption across Product, Sales, Marketing and Pinterest Ads teams. Translate technical product capabiliti

Woven between all the stages of the delivery process is the work of a Quality Analyst: the technologist who focuses on the complexity and risk inherent in building solutions. By collaborating with each team member—Developer, Business Analyst, Designer, etc.—they ensure quality is thoughtfully examined in both processes and technology. QAs are more than testers; they're team motivators and strive to inspire all teammates to weave quality into their mindsets and code. Job responsibilities Aim to shift quality to the left in alignment with senior client stakeholders. Partner with senior stakeholders to understand the product, create a quality strategy and ensure that the teams are empowered to implement it. Highlight risks to software delivery and assist in managing them alongside the leadership team. Regularly carry out exploratory testing to gain insights and uncover potential risks. Drive improvements for clean code, tests, testability and advice on test tools/frameworks. Define, discuss and implement a program approach to testing across multiple products/services and domains, commonly referred to as “UAT”, “E2E”, etc. Influence a consistent approach in automation of tests across teams in a program, e.g. nomenclature, domain boundaries, contracts between services, distinct layers, common tooling and dashboard representations in the right situation. You will be nimble and alter your team's approach based on an industry's standards and regulations. Coach team members across roles to help deliver better quality software and help them adopt a testing mindset. Advocate QA expertise to the tech community inside Thoughtworks and throughout the broader industry, speaking at conferences and acting as a mentor for junior-level QAs. Job qualifications Technical Skills You have worked as a Quality Analyst as part of a wider development team, pairing with Devs, Business Analysts, Infrastructure Engineers, and Designers to embed quality and testing mindsets within different roles

Woven between all the stages of the delivery process is the work of a Quality Analyst: the technologist who focuses on the complexity and risk inherent in building solutions. By collaborating with each team member—Developer, Business Analyst, Designer, etc.—they ensure quality is thoughtfully examined in both processes and technology. QAs are more than testers; they're team motivators and strive to inspire all teammates to weave quality into their mindsets and code. Job responsibilities Aim to shift quality to the left in alignment with senior client stakeholders. Partner with senior stakeholders to understand the product, create a quality strategy and ensure that the teams are empowered to implement it. Highlight risks to software delivery and assist in managing them alongside the leadership team. Regularly carry out exploratory testing to gain insights and uncover potential risks. Drive improvements for clean code, tests, testability and advice on test tools/frameworks. Define, discuss and implement a program approach to testing across multiple products/services and domains, commonly referred to as “UAT”, “E2E”, etc. Influence a consistent approach in automation of tests across teams in a program, e.g. nomenclature, domain boundaries, contracts between services, distinct layers, common tooling and dashboard representations in the right situation. You will be nimble and alter your team's approach based on an industry's standards and regulations. Coach team members across roles to help deliver better quality software and help them adopt a testing mindset. Advocate QA expertise to the tech community inside Thoughtworks and throughout the broader industry, speaking at conferences and acting as a mentor for junior-level QAs. Job qualifications Technical Skills You have worked as a Quality Analyst as part of a wider development team, pairing with Devs, Business Analysts, Infrastructure Engineers, and Designers to embed quality and testing mindsets within different roles

Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet. Lead Deployment Engineer The Team Celonis Services is the delivery engine of our Celonis Customer Organization, responsible for turning the Celonis platform into measurable, business-critical outcomes for our customers. In the AI era, our role has elevated: as AI agents like our own Apollo take on more of the technical build, our people focus on the work that drives real impact—understanding our customers' business-critical problems, designing the solutions that solve them, and quantifying the value delivered. Our Deployment Engineers and Deployment Architects pair deep domain and industry expertise with serious platform mastery and AI-augmented delivery, directing agentic systems while owning the judgment, architecture, and customer relationships that AI cannot replace. We deliver faster and smarter than ever, and we own the outcome: solution go-live, solution adoption, initial value realization support and the long-term success of our customers. The Role As a Lead Deployment Engineer, you are the backbone of Celonis delivery. You lead the hands-on implementation of Celonis solutions for enterprise customers, combining platform expertise with AI-augmented workflows to deliver high-quality outcomes, fast. You use Celonis’s AI deploy

Lead - MEPF is responsible for overseeing operation, maintenance, and troubleshooting of mechanical, electrical, plumbing, and fire safety systems across the airport facility. This role ensures that all MEPF activities adhere to quality, safety, and regulatory standards while aligning with project timelines and budgets. The Lead provides strategic direction to the MEPF team, fosters cross-functional collaboration, and maintains alignment with stakeholders. Ultimately, the Lead - MEPF is dedicated to delivering high-performance, compliant MEPF systems ensuring that all MEPF systems are maintained in optimal working conditions, minimizing downtime, and ensuring compliance with safety standards and regulations. Source: Adani Group | Job ID: 58092

This role is responsible for ensuring high equipment availability and reliability through tracking and reducing failure rates, performing calibration and vibration analysis, and maintaining the Auto Coal Sampler Unit. This role requires effective inventory management, focusing on inventory of critical spare parts and reducing non-moving items, while also contributing to budget planning to optimize costs. Source: Adani Group | Job ID: 57441