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 Senior Engineer in Process Development for Cell Film, you are an early‑career technical contributor responsible for executing process development activities for cell film modules supporting advanced NAND memory technologies. This role focuses on building strong fundamentals in thin film processes, disciplined experimental execution, and understanding process‑device interactions under guidance from senior engineers. Key Responsibilities Process Execution & Learning Execute established thin film processes (ALD/CVD) according to defined procedures and development plans. Run experiments, collect data, and maintain accurate documentation of results. Learn process fundamentals, key knobs, and sensitivities for assigned film steps or unit processes. Data Analysis & Reporting Perform basic data analysis and summarize results in clear, structured formats. Identify obvious trends, anomalies, and repeatability issues in experimental data. Present findings in team forums with guidance from senior engineers. Tool & Process Support Support day‑to‑day process development activities on cell film equipment. Learning tool operation pr
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A BOUT TIDE At Tide, we help SMEs save time and money in the running of their businesses by not only offering business accounts and related banking services, but also a comprehensive set of highly usable and connected administrative solutions, from invoicing to accounting. Tide is transforming the small business banking market and now supports over 2 million members globally across the UK, India, Germany and France. Using advanced technology, all solutions are designed with SMEs in mind. With quick onboarding, low fees and innovative features, we thrive on making data driven decisions to serve our mission: to help SMEs save time and money so they can get back to doing what they love. Tide facts: Tide is available for UK, Indian, German and French SMEs Over 2 million members globally and rapidly growing Over $300 million raised in funding 3,000 Tideans globally Recognised with Great Place to Work certification three years in a row, and among India’s Top 50 Best Workplaces in Banking, Financial Services, and Insurance in 2026 We have offices in Central London, with a member support and technology centre in Sofia, Bulgaria, technology centres in Serbia, Romania, Lithuania and Hyderabad and offices in Gurugram, New Delhi, Berlin, Paris and Luxembourg ABOUT THE TEAM: The Manage Money team owns the systems that give Tide members precise, reliable control over how money moves within and around their account. That means internal transfers, direct debit mandate management, standing orders, sweep rules, and balance notifications. These features are what elevates Tide from a place to hold money to a tool that actively works for a member's business: money moving on schedule, obligations met automatically, spending managed without manual effort. The team builds global products, operating across the UK, India, and EU, with the different payment schemes, regulatory obligations, and banking partners each market brings. ABOUT THE ROLE: The engineering challenge here is correct
Job Summary This is a hands-on, activity-driven role ideal for someone who is eager to learn, contribute, and grow within a dynamic team responsible for driving sales of all Phoenix Contact products by combining engineering knowledge with strong interpersonal and business skills. The Sales Engineer (OEM) plays a key role in identifying growth opportunities, building relationships with potential and existing developing customers, and supporting the sales pipeline through consistent outreach and follow-up. This role involves identifying customer needs, recommending suitable products or solutions, and providing technical support throughout the sales process. The Sales Engineer (OEM) works closely with our Channel and Field Application Engineering teams to ensure customer satisfaction and achieve sales targets. This role focuses on deepening relationships within assigned accounts, driving growth opportunities, and expanding business engagement to maximize long-term value. The territory for this role is South Carolina. Responsibilities Meet or exceed territory sales quotas as established by the RSM and/or Vice President—Field Sales. Be proficient in BASE selling skills and implement to build strong customer relationships. Generate new opportunities within assigned accounts through ongoing communication, relationship development, and collaboration with key stakeholders. Support the preparation of proposals, presentations, and sales materials. Maintain and update CRM systems with accurate client information. Fully utilize the CRM as a communication, reporting, measurement, and tracking tool to enhance productivity. Collaborate with the entire Phoenix Contact team to align efforts, effectively communicate both verbally and written. Track and report on business development activities and performance metrics. Differentiate Phoenix Contact from other component vendors by building “partner” relationships with customers. Focus on the customer by averaging a minimum of 16 t
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. Job Description Micron’s NAND Process Development (PD) Singapore group is looking for process development engineer to support TD activities associated with rapid deployment of technology nodes, the process margin improvement work necessitated thereof as well as to ensure extended engagement with manufacturing on the upcoming technology nodes. Responsibilities Process module ownership involving regE process characterizations and advanced process developments for 3D NAND and beyond. Work with process development engineers in Singapore and Boise, US TD site and vendors to develop regE processes that meet integration requirements for next-generation 3-D NAND nodes. Transfer regE processes to high volume manufacturing (Fab10), and work on continuous improvements to manufacturability. Address specific wafer edge issues (such as bevel defects, uniformity issues), working with Fab10N team and with key business partners on tool choices for manufacturing, evaluations etc., as applicable. Focus on understanding and improving regE process margins required for meeting the mature yield goal for 3D NAND parts. Initiate and manage experiments to widen regE process margins as well as to test out manufacturability of next node solutions<
Why project44? At project44, we believe in better. We challenge the status quo because we know a better supply chain isn’t just possible—it’s essential. Better for our customers. Better for their business. Better for the world. With our Decision Intelligence Platform, Movement , we’re redefining how global supply chains operate. By transforming fragmented logistics data into real-time, AI-powered insights, we empower companies to connect instantly, see clearly, act decisively, and automate intelligently. Our Supply Chain AI enhances visibility, drives smarter execution, and unlocks next-gen applications that keep businesses moving forward. Headquartered in Chicago, IL with a 2nd HQ in Bengaluru, India we are powered by a diverse global team that is tackling the toughest logistics challenges with innovation, urgency, and purpose. AI at project44 We expect every project44 team member, regardless of role or function, to actively leverage AI in their day-to-day work. Whether you're building product, serving customers, managing people, or running operations, AI is a tool you're expected to use with intent, curiosity, and judgment. We don't expect everyone to be a data scientist. We do expect everyone to be an intelligent user of AI: able to identify where it adds value, direct it effectively, evaluate outputs critically, and govern it responsibly. We invest in our team's AI fluency because we believe it's a competitive advantage for every person at project44, not just our engineers If you’re driven to solve meaningful problems, leverage AI to scale rapidly, drive impact daily, and be part of a high-performance team – we should talk. Description: project44 is looking for a Senior Software Engineer - Backend to join our engineering team. You will work in a fast-paced Agile environment designing, building, and implementing best-in-class integrations to accelerate how p
Why project44? At project44, we believe in better. We challenge the status quo because we know a better supply chain isn’t just possible—it’s essential. Better for our customers. Better for their business. Better for the world. With our Decision Intelligence Platform, Movement , we’re redefining how global supply chains operate. By transforming fragmented logistics data into real-time, AI-powered insights, we empower companies to connect instantly, see clearly, act decisively, and automate intelligently. Our Supply Chain AI enhances visibility, drives smarter execution, and unlocks next-gen applications that keep businesses moving forward. Headquartered in Chicago, IL with a 2nd HQ in Bengaluru, India we are powered by a diverse global team that is tackling the toughest logistics challenges with innovation, urgency, and purpose. AI at project44 We expect every project44 team member, regardless of role or function, to actively leverage AI in their day-to-day work. Whether you're building product, serving customers, managing people, or running operations, AI is a tool you're expected to use with intent, curiosity, and judgment. We don't expect everyone to be a data scientist. We do expect everyone to be an intelligent user of AI: able to identify where it adds value, direct it effectively, evaluate outputs critically, and govern it responsibly. We invest in our team's AI fluency because we believe it's a competitive advantage for every person at project44, not just our engineers If you’re driven to solve meaningful problems, leverage AI to scale rapidly, drive impact daily, and be part of a high-performance team – we should talk. Description: project44 is looking for a Software Engineer 2 - Backend to join our engineering team. You will work in a fast-paced Agile environment designing, building, and implementing best-in-class integrations to accelerate how projec
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. Job Description: As Frontend Central Product Integration Engineering and transformative (CPIE) team at Micron Technology, Inc., you will be leading new initiatives to deliver pioneering process capability, best-in-class bits per wafer (Yield) with the highest quality and fastest speed through innovation and collaboration with multi-functional teams. Your primary focuses include but not limited to: • Initiate new data solutions and methodologies to: 1) identify process, test, and design improvement opportunities, specialized in UE_ROW & all quality index, Front End-PTS integration, and high-value-bits (PG2+) yield ; 2) modeling, monitoring and aiming for tool performance benchmarking; 3) Process equipment prognostics and process integration optimization; 4) Identity test optimization opportunities for high product grade yield improvement. • Collaborate with site Process & Equipment Engineering, Manufacturing(MFG), Product Integration Engineering (PIE) and Data Science (DS) team to establish feasibility of new initiatives, demonstrate business values, and prototype solution mock-ups; • Partner with Globa
Perplexity is seeking a highly skilled, experienced and hands-on Offensive Security Engineer to join our dynamic security team, taking an adversarial approach to hardening Perplexity's infrastructure, applications, and AI systems. You'll plan and execute red team operations, penetration tests, and attack simulations across our cloud infrastructure, web and mobile applications, AI/ML pipeline, and corporate environment—finding real vulnerabilities before adversaries do and working directly with engineering teams to drive remediation. Responsibilities Plan and execute red team and purple team engagements simulating advanced threat actors across cloud infrastructure (AWS, Kubernetes), endpoints, and application surfaces Conduct continuous penetration testing of web applications, APIs, mobile clients, browser extensions, cloud infrastructure, and internal services Assess AI/ML-specific attack surfaces including prompt injection, model exfiltration, agent abuse, tool-use exploitation, and MCP security boundaries Develop and maintain custom offensive tooling, exploits, and automation to improve the efficiency and coverage of security testing Perform open-scope adversary simulations that test detection and response capabilities end to end, collaborating closely with the defensive security team Drive threat modeling sessions with engineering teams to identify and prioritize attack vectors in new features and architectures Deliver clear, actionable findings to both technical and executive audiences; partner with engineering to validate remediations Contribute to the security of CI/CD pipelines, supply chain integrity, and secrets management through offensive assessment Stay current on emerging attack techniques, vulnerability research, and adversary tradecraft; bring external perspective into Perplexity's security strategy Qualifications 5+ years of hands-on experience in offensive security, red teaming, or penetration testing Deep technical expertise in at least two of: clo
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Who We Are: The Machine Learning Platform team at Reddit is a high-impact team that owns the infrastructure that powers recommendations, content discovery, user and content quantification, while directly impacting other teams such as Growth, Ads, Feeds, and Core Machine Learning teams. What You’ll Do: As a Senior Staff Software Engineer, you will help define and lead the vision for Reddit’s large-scale GenAI Platform, shaping the strategy, architecture, and operating model that enable teams across the company to build, deploy, and scale generative AI products with confidence. Contribute to the design, implementation, and maintenance of the LLM Gateway, focusing on features like unified API endpoints for internal/externally hosted LLM, rate/token limit management, and intelligent failover mechanisms to boost uptime and reliability. Lead and execute the vision, strategy, and roadmap for Reddit’s large-scale GenAI Platform. Define the platform architecture and operating model that enable teams to build, deploy, and scale GenAI products reliably. Drive the strategy for a unified LAG Gateway supporting internally and externally hosted LLMs through consistent APIs and abstractions. Set the direction for core platform capabilities such as rate and token limit management, intelligent failover, and production resilience. Shape Reddit’s approach to an enterprise-grade RAG system Establish the strategic direction for agentic AI workflows and tool-use patterns across the platform. Own the end-to-end platform strategy from concept t
Gong harnesses the power of AI to transform how revenue teams win. The Gong Revenue AI Operating System unifies data, insights, and workflows into a single, trusted system that observes, guides, and acts alongside the world’s most successful revenue teams. Powered by the Gong Revenue Graph, AI-powered intelligence, specialized agents, and trusted applications, Gong helps more than 5,000 companies around the world deeply understand their teams and customers, automate critical sales workflows, and close more deals with less effort. For more information, visit www.gong.io. At Gong, you will join a company built on innovative products, ambitious goals, and passionate people. We are shaping the future of revenue intelligence and we want people who are excited to build what comes next. You will work with a team that dreams big, moves fast, and cares deeply about the craft and about each other. Here, transparency and trust are core to how we operate, and every person has the opportunity to make a visible impact. If you want to grow, stretch, and do work that truly matters, Gong is the place to do the best work of your career. We’re looking for an Engineering Team Lead, who will be responsible for the foundational infrastructure framework used by all Gong engineering teams to build, deploy, and operate AI agents safely in production. We are building the "operating system" for AI at Gong, covering agent sessions, memory management, tool orchestration, durable execution, and multi-tenant isolation. You will lead a high-impact team of 5 engineers to create the runtime and platform that defines the future of autonomous enterprise intelligence. You’ll Own: Agentic Framework Architecture : Designing and building Gong’s internal agentic framework, leveraging and integrating industry-standard tools such as LangChain, LangSmith, ADK, and similar ecosystems. Evaluation and Quality Systems : Building evaluation frameworks and workflows for AI agents, including offline and online evalu
Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets. Its open platform integrates with 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and levels of complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, São Paulo, London, Edinburgh, Geneva, Warsaw, Dubai, Pune and Singapore. The Role We are seeking a Senior AI Engineer to join our AI Platform team. The AI Platform team is focused on enabling and building disruptive, innovative solutions to transform the wealth technology landscape with AI across our product suite and is growing quickly. As a Senior AI Engineer, you will be responsible for architecting, leading, and driving the execution of the core AI capabilities that power our platform. This is a high-impact role for an engineer who thrives on the frontier of applied AI and maintains a relentless focus on shipping. You will not just work with LLMs and agentic frameworks; you will own the end-to-end delivery of AI-native products, ensuring that cutting-edge AI systems are hardened into robust, scalable, and high-performance production systems. What You’ll Do Drive the end-to-end execution and delivery of AI-native products, moving from initial prototype to scalable production services with high velocity. Architect, build, and productionize core components of our AI platform – including: LLMs and the surrounding ecosystem (e.g., vector DBs, prompt tuning, etc.) Agentic frameworks Core agent capabilities like MCP/ cross-platform tool use, web browsing, computer use Enforce technical discipline and operational excell
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. THE MISSION We are seeking a Staff Research Scientist to serve as a technical pillar within our AI research organization. You will not just execute on roadmaps—you will define them. At the intersection of autonomous agents and large language models (LLMs) , you will build the models and systems that turn enterprise data into self-directed, decision-making agents —shifting from passive data access to autonomous execution. Our team operates at the frontier of enterprise AI, delivering both state-of-the-art models and production systems , including: Arctic LLM : Enterprise foundation models optimized for performance and efficiency Arctic-Text2SQL : Post-trained reasoning models with frontier-level quality at a fraction of cost and latency Snowflake Intelligence : Brought research to production through agentic innovations in multi-step reasoning, Deep Research for structured and unstructured insights, and system optimization Arctic Inference : High-performance LLM serving stack (Shift Parallelism, SwiftKV), open-sourced and powering Snowflake Cortex Arctic Long-Context Training : Enables 1M+ token context training on a single H200 GPU Agent World Models (AWM) : RL training across 1,000+ synthetic environments for tool-using agents We focus on core challenges such as reliable re
About the Team The Codex Core Agent team builds the kernel of Codex. We own making the agent better, accelerating research, and making those improvements real in production for our users. That means working across the systems that make Codex actually function as an agent in the real world: the production performance envelope around tokens, latency, reliability, cost, and capacity; the core execution loop and interfaces that turn models into useful behavior; the shared infrastructure that enables other teams to build on Codex; and the feedback loops that turn real-world usage into better models and better agent behavior over time. About the Role We’re looking for engineers to build the infrastructure that powers Codex agents in production. This role focuses on the systems that let models safely execute code, interact with tools, complete long-running tasks, and operate reliably and efficiently at scale. You’ll design and operate the infrastructure behind sandboxed execution, orchestration, stateful workflows, app-server and SDK boundaries, and model rollouts. You’ll work at the intersection of distributed systems, developer tooling, and AI, building primitives that make Codex faster, safer, more reliable, and easier for the rest of the organization to build on. What You’ll Do Design and build execution environments for AI agents, including sandboxing, isolation, and reproducibility. Develop systems for agent orchestration across multi-step, tool-using workflows. Build infrastructure for running, testing, and debugging code generated by models. Create state and memory systems that allow agents to persist context across long-running tasks. Optimize tokens, latency, reliability, and cost across Codex’s production fleet. Support model rollouts, capacity planning, and the core tradeoffs between quality, speed, and economics to manage a fleet of frontier agents at scale. Build shared platform capabilities that unblock product teams, partner teams, and open source Codex. Yo
About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. About the team We, the Marketing Tech team, are looking for a passionate and driven Golang/Python Backend Software Engineer. We are a product-focused team that emphasizes enabling the scaling and efficiency of campaigns and marketing efforts both inside and outside of Wolt. The MarTech team is currently building internal services around marketing and consent use-cases to allow our marketing stakeholders to drive marketing campaigns in and out of the app, and ensure we provide and maintain a compliant experience throughout the whole process. We empower marketing with the tools to fully set up and run their campaigns independently so as not to be blocked by product or engineering. In our team, you can expect to face many different types of projects across the realm of acquiring users and keeping them engaged. You’ll work on both maintaining and expanding existing services, as well as planning and designing new ones. Our project types vary a lot, from services used in the core Wolt flow, services for automation or to enable our Marketing teams, ETL jobs, as well as streaming processing workers. Some examples of projects include our in-house built: Audience management tool in Golang Marketing attribution powered by Spark Consents management platform in Golang Bi
About Decagon Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences. Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel. We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others. We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team. About the Team When a Fortune 500 C-suite brings in Decagon, they are not buying a support tool. They are buying a transformation of how their customers experience their brand, end to end. Agent Product Managers are the people they trust to make that transformation real. Your counterpart is the C-suite, and what they are asking you to transform is their entire customer experience. You define the roadmap, the frameworks, and the decision-making models that make a top-down transformation feel safe to bet on. You hold that relationship from the first pre-sales conversation through the life of the account. The work compounds in a way most roles don't. Every flagship deployment you lead feeds directly into our playbooks and raises the quality of every build that follows. Hard-won lessons on your accounts become leverage across the whole company, and the IP you create outlives any single agent. These are the largest, most complex enterprises in the market. The ones that require deep customization, real j
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