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Lead Senior Dry Etch Process Develop Engineer Jobs

10,000 active opportunities · Updated for October 2026

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Explore current lead senior dry etch process develop engineer jobs. Use filters to narrow by work mode, employment type, experience and date posted.

AG
2 days ago

The job purpose of a Shift Engineer - Cluster - Backend in the cell process is to lead and oversee the backend production operations of solar cell manufacturing. This role involves managing and optimizing critical processes like fine line printing, firing, work on completion of already defind DOEs and report compilation like screen design, paste development , ensuring efficient production, maintaining high product efficiency, promoting a safe work environment, and driving continuous improvement initiatives to meet production targets and industry standards effectively. Source: Adani Group | Job ID: 60035

About the Role Chime is looking for Senior Staff and Staff Engineers to lead our high impact member Trust and Safety group. This is an exciting opportunity to lead the vision for one of Chime’s foundational pillars. The Trust and Safety organization is tasked with fueling sustainable growth, protecting our members, and reducing fraud losses and operational costs. You will provide technical and architectural guidance to multiple teams crafting industry defining solutions. These teams are responsible for providing scalable, extensible frameworks to create smooth and streamlined risk experiences across every checkpoint of a member’s experience at Chime. You will work function-wide across Chime’s engineering and cross-functional teams to deliver Trust and Safety’s vision. In this role, you can expect to Work with engineering and product leadership to build cross-functional vision Design and evolve new and existing capabilities Deliver secure, reliable, and high-performance infrastructure and APIs Identify and help resolve bottlenecks in our software development process and infrastructure Write and guide engineers to produce elegant, scalable code, with an owner's mindset Serve as a mentor, leading others in designing elegant code and architecture that scales to meet Chime's growing needs As needed, play the role of Team Lead during the course of a project Ensure that technical decisions support our quality, performance, scalability, reliability, availability, and security goals Contribute to the organization-level discovery, vetting and decision-making on critical architecture and technology, bringing your domain expertise into larger conversations To thrive in this role, you have 12+ years of experience in software engineering Previously built and evolved high-scale back-end solutions Passion and previous experience in building end to end member facing features and systems Strong competency in distributed systems, scalable and extensible platforms high avai

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Datadog
📍 New York• $135K – $180K/yr
12 days ago

As Senior Group Manager of Experience Design on Datadog's Web Experience team, you will lead and grow the Experience Design group while remaining hands-on with the web experiences that matter most to our customers and business. You will manage two designers today and help shape how the team scales over time. You will set a high bar for craft and execution across research, journey mapping, interaction design, prototyping, implementation, and post-launch quality. You will also evolve AI-assisted and code-connected design workflows, partnering closely with Product Marketing, Growth, Web Engineering, and Web Content Engineering to move from ideas to shipped experiences. 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 and grow the Experience Design group, managing two designers today and helping shape the team as its scope evolves Hire, coach, develop, and set clear expectations for designers while maintaining a high bar for design craft Design priority web experiences from journey mapping and research through interaction design, prototyping, and shipped pages Prototype with AI and working code, use Figma MCP and Code Connect to keep design and implementation aligned, and work directly in the CMS when appropriate Own and evolve the team’s design process across discovery, critique, specification, handoff, and post-launch quality assurance Partner with Product Marketing, Growth, Web Engineering, and Web Content Engineering to shape priorities and deliver web experiences that support business goals Who You Are: Experienced across UX/UI, journey mapping, and web design, with a portfolio of shipped, high-traffic marketing or product marketing experiences and particular depth in web and product experience A people leader who remains actively involved in design

The Engineering Lead Analyst – Test Automation Platform Engineering is a senior-level technical leadership role responsible for driving the architecture, implementation, management, operational support, and continuous enhancement of enterprise test management and automation platforms. In this role, you will lead efforts to modernize test automation capabilities across the global technology ecosystem. You will architect end-to-end integration workflows, embed automated quality gates into enterprise CI/CD pipelines, and administer as well as operationally support both vendor and internally developed enterprise platforms (e.g., Core Performance Engineering / Performance Center, ALM-Quality Center, Zephyr Enterprise, CSDP / Octane). Additionally, you will play a critical role in production operations—delivering tier-3 platform support to rapidly and safely troubleshoot, triage, and remediate performance and availability issues in complex, distributed production environments. The ideal candidate blends deep hands-on expertise in software testing frameworks, modern DevOps pipelines, containerized infrastructure, message-driven integration, and robust operational resilience practices with strong governance, compliance, and stakeholder leadership skills. Key Responsibilities 1. Platform Engineering & Operational Support Install, configure, upgrade, administer, and support enterprise test management and performance engineering toolsets (e.g., Core Performance Engineering / Performance Center, ALM-Quality Center, Zephyr Enterprise, Core Software Development Platform [CSDP] / Octane). Provide end-to-end operational support for

dockerkubernetesartificial intelligence
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We are seeking an experienced Senior Generative AI Developer to help drive the design, development, and integration of state-of-the-art Generative AI and agentic AI solutions across our enterprise Controls Technology platform. You will collaborate with cross-functional teams, contribute deep technical expertise in context engineering, retrieval systems, knowledge graphs, and multi-agent orchestration, and play a key role in delivering scalable, grounded AI solutions to enhance automation and operational efficiency. This role centers on architecting robust applications and agent systems on top of pre-trained and hosted foundation models — not on training or fine-tuning models. Key Responsibilities Collaborate with AI architects, leads, and stakeholders to design and implement generative and agentic AI solutions that address business challenges. Architect advanced context engineering strategies — context layering, chaining, compression, pruning/offloading, and memory management — to maximize reliability, provenance, and token efficiency in production. Design and implement advanced generative AI methods, including sophisticated prompt engineering and Retrieval-Augmented Generation (RAG) . Build and optimize RAG systems , including hybrid search, multi-vector retrieval, and re-ranking pipelines. Design and implement knowledge graphs and Graph RAG architectures to enable multi-hop reasoning, explainability, and traceable, grounded responses for high-value business domains. Architect agentic workflows and multi-agent systems using Google Agent Development Kit (ADK) and comparable frameworks (LangGraph, Microsoft Agent Framework, CrewAI), applying orchestration patterns such as supervisor/worker, hierarchical, and peer-to-peer. Design robust agent harnesses — governance, constraints, feedback loops, state/session management, and

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B
1mo ago

JOB SUMMARY B-Stock is hiring a Senior Manager of Revenue Operations to lead the team and systems that keep go-to-market running across sales, account management, and marketing — spanning sales and marketing analytics, operations, systems, and process. This is a people-manager role accountable for the accuracy, integration, and performance of the processes and platforms that power revenue, from pipeline and forecasting to the GTM tech stack itself. This role also applies AI as a core lever for how revenue operations runs — from automating manual GTM workflows to introducing new AI-enabled capabilities across the stack. ESSENTIAL JOB DUTIES AND RESPONSIBILITIES Team Leadership Manage and develop 3 direct reports across sales analytics/operations, sales GTM systems, and marketing operations Set shared priorities and standards across the team's owned platforms Remove roadblocks and maintain a consistent operating rhythm across the team Actively evaluate and introduce new AI capabilities to the team, raising the standard for how direct reports and the broader function apply AI day to day Revenue & GMV Forecasting Own GMV and revenue forecasting, pipeline management, and capacity planning across new logo sales and account management Partner with sales and marketing leadership to identify and drive strategies for new logo acquisition and growth within existing accounts (expansion, upsell) Design and maintain commission plans for all revenue functions (BDR, AE, AM) Oversee customer-facing contract processes, ensuring accuracy and compliance GTM Systems & Data Ensure the GTM systems ecosystem — owned day-to-day by your team — is integrated, accurate, and free of technical blockers Serve as primary liaison with Product, Engineering, and Data teams on GTM data needs Build robust reporting that generates insights and drives action to improve revenue performance across the funnel AI & Process Automation Identify and implement AI-enabled automation and agentic

aisalesforce
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SX
SALT XC
📍 Toronto• Full-time• From $115K/yr
1mo ago

ROLE: SENIOR FINANCE MANAGER LOCATION: TORONTO The Role Salt XC is looking for a Senior Finance Manager to lead the day-to-day financial management of The Kitchen, a large-scale embedded agency partnership with a Fortune 500 client. This role will be the primary Finance partner and point of contact for The Kitchen. While Salt’s broader Finance team will continue to execute transaction processing, including payroll, accounts payable, accounts receivable and expense processing, this person will sit at the centre of the operation—ensuring projects are financially controlled, billings happen on time, revenue and costs are appropriately recognized, reporting is accurate, and stakeholders have clear and timely visibility into the financial health of the business. This is an ideal role for someone with strong project accounting and revenue accounting experience who is equally comfortable working with Finance teams, agency operators, producers and senior client stakeholders. Key Responsibilities Project & Financial Management • Own the financial oversight of approximately 100-150 client projects annually • Maintain accurate project financials, including budgets, committed costs, actual costs, billings and project-level profitability • Ensure production costs and employee expenses are accurately captured and allocated to the appropriate projects • Monitor project financial activity from initiation through final reconciliation and close • Identify financial discrepancies, aging items and project risks and proactively drive them to resolution • Maintain strong financial controls while supporting the speed and flexibility required in an agency environment • Identify areas for efficiency and cost reductions Revenue, Billing & PO Management • Own the financial workflow between project teams, both internal and external, to ensure projects are billed accurately and on tim

aiexcelaccounting
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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. We are hiring a Senior Security Engineer, dedicated to Product Security Incident Response. In this role, you will lead and architect Snowflake's product-integrated Incident Response strategy, with a primary focus on AI and LLM security. You'll design, plan, and drive the implementation of incident response capabilities across Snowflake's AI product surface - including Cortex AI, Cortex Agents, Snowflake Intelligence, and the data pipelines that power them. AS A SENIOR SECURITY ENGINEER, AI INCIDENT RESPONSE AT SNOWFLAKE, YOU WILL: Lead incident response for product-level security events, with deep focus on AI-specific threat vectors including prompt injection, model abuse, agent hijacking, and data exfiltration through AI workloads. Integrate IR into AI product pipelines - work directly with teams shipping Cortex features, Snowflake Intelligence, and AI-powered developer experiences to embed security requirements from design through deployment. Develop and codify our AI abuse response strategy - defining detection, containment, and remediation playbooks for LLM misuse, adversarial inputs, and AI-assisted attacks targeting Snowflake customers. Address tech debt across the AI product stack, ensuring that new Cortex and agentic architectures meet IR readiness requirements from

pythonsqlaws
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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. We are hiring a Senior Security Engineer, dedicated to Product Security Incident Response. In this role, you will lead and architect Snowflake's product-integrated Incident Response strategy, with a primary focus on AI and LLM security. You'll design, plan, and drive the implementation of incident response capabilities across Snowflake's AI product surface - including Cortex AI, Cortex Agents, Snowflake Intelligence, and the data pipelines that power them. AS A SENIOR SECURITY ENGINEER, AI INCIDENT RESPONSE AT SNOWFLAKE, YOU WILL: Lead incident response for product-level security events, with deep focus on AI-specific threat vectors including prompt injection, model abuse, agent hijacking, and data exfiltration through AI workloads. Integrate IR into AI product pipelines - work directly with teams shipping Cortex features, Snowflake Intelligence, and AI-powered developer experiences to embed security requirements from design through deployment. Develop and codify our AI abuse response strategy - defining detection, containment, and remediation playbooks for LLM misuse, adversarial inputs, and AI-assisted attacks targeting Snowflake customers. Address tech debt across the AI product stack, ensuring that new Cortex and agentic architectures meet IR readiness requirements from

pythonsqlaws
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Snowflake
📍 United States Minor Outlying Islands, United States• Full-time• Remote
2mo ago

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. We are hiring a Senior Security Engineer, dedicated to Product Security Incident Response. In this role, you will lead and architect Snowflake's product-integrated Incident Response strategy, with a primary focus on AI and LLM security. You'll design, plan, and drive the implementation of incident response capabilities across Snowflake's AI product surface - including Cortex AI, Cortex Agents, Snowflake Intelligence, and the data pipelines that power them. AS A SENIOR SECURITY ENGINEER, INCIDENT RESPONSE AT SNOWFLAKE, YOU WILL: Lead incident response for product-level security events, with deep focus on AI-specific threat vectors including prompt injection, model abuse, agent hijacking, and data exfiltration through AI workloads. Integrate IR into AI product pipelines - work directly with teams shipping Cortex features, Snowflake Intelligence, and AI-powered developer experiences to embed security requirements from design through deployment. Develop and codify our AI abuse response strategy - defining detection, containment, and remediation playbooks for LLM misuse, adversarial inputs, and AI-assisted attacks targeting Snowflake customers. Address tech debt across the AI product stack, ensuring that new Cortex and agentic architectures meet IR readiness requirements from th

REMOTEpythonsqlaws
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S
Snowflake
📍 Menlo Park• Full-time• Remote
2mo ago

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. We are hiring a Senior Security Engineer, dedicated to Product Security Incident Response. In this role, you will lead and architect Snowflake's product-integrated Incident Response strategy, with a primary focus on AI and LLM security. You'll design, plan, and drive the implementation of incident response capabilities across Snowflake's AI product surface - including Cortex AI, Cortex Agents, Snowflake Intelligence, and the data pipelines that power them. AS A SENIOR SECURITY ENGINEER, INCIDENT RESPONSE AT SNOWFLAKE, YOU WILL: Lead incident response for product-level security events, with deep focus on AI-specific threat vectors including prompt injection, model abuse, agent hijacking, and data exfiltration through AI workloads. Integrate IR into AI product pipelines - work directly with teams shipping Cortex features, Snowflake Intelligence, and AI-powered developer experiences to embed security requirements from design through deployment. Develop and codify our AI abuse response strategy - defining detection, containment, and remediation playbooks for LLM misuse, adversarial inputs, and AI-assisted attacks targeting Snowflake customers. Address tech debt across the AI product stack, ensuring that new Cortex and agentic architectures meet IR readiness requirements from th

REMOTEpythonsqlaws
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Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE As a Senior Technical Program Manager for Hyperscale Operations, you will serve as the primary technical coordination lead for integrating Everpure’s Direct Flash Modules (DFMs) into next generation hyperscale storage platforms. Working closely with hyperscale customers and ODM partners, Everpure’s hardware and firmware engineering, product engineering, quality, operations, you will drive the end-to-end technical execution required to ensure DFMs are seamlessly integrated into customer-designed storage servers and L10/L11 manufacturing. You will lead cross-functional program execution from architecture alignment and platform qualification through manufacturing ramp, driving issue resolution, root-cause analysis, and technical risk mitigation to deliver reliable, high-quality deployments that meet aggressive customer milestones. WHAT YOU'LL DO Orchestrate Hardware NPI Execution: Lead cross-functional engineering teams through EVT, DVT, and PVT milestone gates for complex storage server and L10/L11 rack systems, delivering scalable, high-yielding hardware platforms to high-volume manufacturing. Orchestrate Technical Issue Resolution: Lead cross-functional triage across hardware, firmware, product engineering, and quality teams to drive root-cause analysis and resolve system-level qualification issues and platform bottlenecks. Accelerate Strategic Partner Performance: Direct global contract manufacturers and sy

aiauditingsupply chain
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L
2mo ago

About the Job: We're looking for a Senior EMEA Marketing Manager to lead marketing in the region, in close collaboration with Sales, with field activities and events as the core part of the role. This is a senior, individual-contributor position for someone who knows how great regional B2B marketing programs are built — from tactics through hands-on execution — and who's looking to shape and build the approach rather than run a standard playbook. You'll join a growing international marketing team in an essential role for the team and business, reporting to the International Marketing Director. You'll take full ownership of the EMEA field calendar and act as the region's on the ground presence, with the scope to also contribute to broader regional marketing campaigns. In this role, you'll get to innovate and design impactful, memorable experiences that drive real results. Responsibilities: Own the EMEA field calendar end-to-end — from tactics and planning through execution and post-event follow-through, across owned events, third-party conferences, sponsorships, executive roundtables, and partner co-marketing events etc. Lead regional sponsorship approach and vendor management — negotiate sponsorship packages and deliverables, coordinate on assets and work with agencies, partners and vendors. Design differentiated, memorable experiences — go beyond the standard execution model to create formats that genuinely engage audiences and build awareness around the brand. Partner closely with EMEA Sales — work hand-in-hand with Sales and SDR teams on field activities, on-site engagement, and structured post-event follow-up. Act as a confident, credible voice with internal stakeholders to represent Marketing. Own reporting and ROI — track leads, pipeline capture, and spend against your Marketing activities and campaigns, and report results back to leadership. Operate independently — take action and define approach, budget requests, format, and vendors in line with Sales

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MongoDB
📍 Alberta• Full-time• From C$191K/yr
2mo ago

We’re looking for a Senior Engineering Manager who is ready to lead through ambiguity and improve how software gets built at MongoDB. This role leads teams focused on developer productivity, with an emphasis on measurable improvements to the software development lifecycle. This role can be based remotely in Canada. The Team The AXIS team (AI, X-functional tools, Insights, and Signals) sits within Developer Productivity and is responsible for overseeing the metrics and observability infrastructure of our expansive developer environment to help build a strong data-driven culture. You’ll also be a key partner in building the agentic ecosystem for AI-driven development across engineering. Candidate Profile We’re looking for an experienced leader with a passion for solving the big challenge of measuring developer productivity and providing the actionable signals that help teams improve their performance. They should be comfortable working collaboratively with other leaders and partners across our Engineering and Data teams in maximizing the use of data for insights and AI enablement. The right candidate for this role will have 4+ years of experience managing software engineers, including hiring, performance management, growth planning, and compensation; required for external candidates and preferred for internal candidates 8+ years of hands-on software engineering experience building and operating production systems; experience in developer tooling, platform engineering, observability, or data engineering is a strong plus Demonstrated the ability to lead through ambiguity, work across team boundaries, and deliver outcomes without close supervision Strong customer orientation and sound judgment in finding practical, high-leverage solutions Experience working with systems involving analytics, data pipelines, and metrics platforms Experience with AI tools development and enablement efforts Strong technical judgment, including the ability to evaluate tradeoffs, i

mongodbawsazure
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MongoDB
📍 United States• Full-time• From $151K/yr
2mo ago

We’re looking for a Senior Engineering Manager who is ready to lead through ambiguity and improve how software gets built at MongoDB. This role leads teams focused on developer productivity, with an emphasis on measurable improvements to the software development lifecycle. This role can be based remotely in the United States. The Team The AXIS team (AI, X-functional tools, Insights, and Signals) sits within Developer Productivity and is responsible for overseeing the metrics and observability infrastructure of our expansive developer environment to help build a strong data-driven culture. You’ll also be a key partner in building the agentic ecosystem for AI-driven development across engineering. Candidate Profile We’re looking for an experienced leader with a passion for solving the big challenge of measuring developer productivity and providing the actionable signals that help teams improve their performance. They should be comfortable working collaboratively with other leaders and partners across our Engineering and Data teams in maximizing the use of data for insights and AI enablement. The right candidate for this role will have 4+ years of experience managing software engineers, including hiring, performance management, growth planning, and compensation; required for external candidates and preferred for internal candidates 8+ years of hands-on software engineering experience building and operating production systems; experience in developer tooling, platform engineering, observability, or data engineering is a strong plus Demonstrated the ability to lead through ambiguity, work across team boundaries, and deliver outcomes without close supervision Strong customer orientation and sound judgment in finding practical, high-leverage solutions Experience working with systems involving analytics, data pipelines, and metrics platforms Experience with AI tools development and enablement efforts Strong technical judgment, including the ability to evaluate t

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