About the Role FLUENT ENGLISH & SPANISH SPEAKING IS A REQUIREMENT / MUST As a Senior Sales Engineer, Enterprise at Amplitude, you'll be the technical quarterback for our most strategic opportunities in the southwest region. You'll partner with Account Executives to win complex, multi-stakeholder deals by translating product capabilities into business outcomes that matter to Product, Marketing, and Analytics leaders. You'll lead technical discovery, architect custom proof-of-concept implementations, and serve as a trusted advisor to prospects navigating their digital analytics strategy. Your technical credibility and business acumen will directly influence the annual pipeline. What You'll Do Deal Execution (70% of time) Lead technical evaluation phases for deals ranging from 100K to 1M+ ARR Conduct deep discovery to map prospect workflows, tech stack dependencies, and decision criteria to Amplitude's differentiation Design and execute hands-on proof-of-concepts that prove value within the prospect's actual data and use cases Handle technical objections related to data architecture, privacy/compliance, and integration complexity Present to C-level executives and translate technical capabilities into ROI narratives Internal Collaboration (20% of time) Partner with Product Management to communicate feature gaps and customer requirements that affect deal velocity Work with Customer Success to ensure smooth handoffs and technical alignment during implementation Mentor junior SEs on technical positioning and demo best practices Thought Leadership (10% of time) Contribute to our competitive intelligence on tools like Google Analytics 4, Adobe Analytics, and Mixpanel Develop reusable demo assets, technical content, and proof-of-concept frameworks for the broader SE team What We're Looking For Required 5+ years in software pre-sales (SE, Sales Consulting, or technical Account Management roles) Fluent Spanish speaking is a MUST You must be comfortable speaking to nuanced t
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Job Overview Wargaming is looking for a Manual QA Engineer to join the Global IT Products department and help ensure the quality of internal corporate systems and services. You will work with a variety of products, from web applications to complex microservices and integrations, applying testing approaches and techniques based on the specific needs of each product. The role offers an opportunity to work with complex business logic, large datasets, and different types of internal systems while taking ownership of the quality of products. We also value initiative: while the core tools and approaches are defined by each product's needs, we encourage QA Engineers to identify opportunities for improvement and suggest additional tools or practices when they can bring value to the product and team. Reports to Head of Quality Assurance What will you do Independent implementation of the full cycle of project testing (functional testing of web applications, microservices, API) Product testing without ready requirements Creation and maintenance of test documentation Acceptance of builds before releases, quality control of defect fixes Monitoring of reports on errors and failures Analysis and testing of project/product requirements Evaluation of testing work Participation in team meetings What are we looking for? 2+ years of experience as a QA Engineer Strong analytical skills and experience working with big datasets, calculations, corporate applications with complex business logic Experience in testing web applications and microservices Strong knowledge of testing methodologies and software development life cycles Understanding of client-server architecture principles Experience in writing test cases and checklists Experience with bug and task tracking, documentation, and test case management tools (Jira, Confluence, TestRail) Experience working with databases (PostgreSQL, MS SQL Server) and SQL Good Excel skills and experience working with data, calculations, and spread
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. How do you make the world's most powerful coding agent for data a delight to use? We are the fastest growing software company at this scale in history and looking to push that to new heights by building the best coding agent in the industry. The Cortex Code (CoCo) team is building the future of coding agents for working with data. See our flagship product in action: CoCo Desktop in Action . As a Frontend AI Principal Engineer, you are the cornerstone of delivering the ultimate user experience. You will be entrusted with the highest level of polish, creativity, and interaction design, pushing the boundaries of what's possible in the most innovative areas of our product. This role offers the unique opportunity to have broad creative license, empowering you to lead and create groundbreaking systems and experiences that marry aesthetics with functionality, making data more accessible and actionable for our customers. AS THE FRONTEND AI PRINCIPAL ENGINEER YOU WILL: Design and build exceptional experiences, ensuring the highest level of polish, creativity, and interaction to solve complex customer problems. Define the architectural vision for the CoCo coding agent platform and ensure consistency of design abstractions across the entire product surface Develop innovative platform
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 well rounded Staff AI Security Engineer to join our growing Information Security & Risk team. In this role, you will be a member of our newly formed Security Solutions team. This team is at the forefront of driving organization-wide security enhancements through high-impact, project-driven initiatives with a heavy focus on AI. If you are looking for an opportunity to build from the ground up, influence security architecture, and meaningfully elevate Addepar’s overall security posture, this is the role for you. Applicants must be legally authorized to work in the United States for any employer without requiring current or future visa sponsorship (for example, employment-based visas such as H-1B , F-1 /OPT, or similar), and must be authorized to begin work in the U.S. on their first day of employment. What You’ll Do Focus on AI Security in the following areas: Innovation & Strategy - Keep up with the latest trends, models and innovations in all facets of AI Security and advise on proper architectures Platform AI Security - Working with our Engineering and Application Security teams to ensure our products are leveraging AI in a secure manner across our platform. AI Enablement -Partnering with our Archi
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Backend Engineer on the Plan: Spec-Driven Development team, you'll help build GitLab's intent-to-code loop: agentic workflows that turn a stated intent into a refined work item, an implementation plan, and verified, mergeable code. You'll own early-stage backend work across the flows, application programming interfaces, data models, and evaluation systems behind this experience, using Ruby on Rails, Python, PostgreSQL, GitLab Duo Agent Platform, large language model application programming interfaces, and an artificial intelligence gateway. You'll join a small, distributed team working on one of GitL
About Forma.ai: Forma.ai is a Series B startup that's revolutionizing how sales compensation is designed, managed and optimized. We handle billions in annual managed commissions for market leaders like Edmentum, Stryker, and Autodesk. Our growth has been fuelled by our passion for fundamentally changing and shaping how companies use sales intelligence to drive business strategy. We’re welcoming equally driven individuals who are excited about creating something big! The Opportunity As a Staff Security Engineer, you will be a hands-on technical leader strengthening security across Forma's application, cloud infrastructure, development lifecycle, internal systems, and incident-response practices. Security today is shared across Engineering and DevOps. You'll work closely with both teams and have real room to shape how Forma approaches security as we grow. Depending on your interests and the needs of the business, the role could develop into a deeper individual-contributor position or help build a dedicated security team. You'll work directly with Engineering, DevOps, IT, Product, Legal, and Privacy to identify risks, design practical controls, automate security processes, and help teams ship secure and reliable software. What you'll do Cloud and infrastructure security Design and implement security controls across Forma's AWS environments, with a focus on IAM, least-privilege access, service identities, and account boundaries. Embed security requirements into Terraform and other Infrastructure as Code, and improve secrets, certificate, encryption-key, and credential management. Build automated checks for insecure configurations, excessive permissions, exposed resources, and configuration drift across Kubernetes, containers, serverless workloads, networking, and data services. Application, data, and AI security Run threat modelling and security architecture reviews for new products, services, APIs, data pipelines, and third-party integrations
About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. The Role: We are seeking a highly skilled AI Security Research & Red team engineer to join our Red Team within the Security Threat Detection, Response and Emulation organization. This is a critical role that will be at the forefront of protecting our company and customers from malicious threats. You will be responsible for driving security research, exercises, and activities that emulate real world attackers and attacks to drive improvements i
Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Key Responsibilities: Take responsibility for designing digital IP blocks from initial microarchitecture to RTL creation, integration, and supporting physical hardware development. Define and review module interfaces and system-level architecture. Actively leverage AI‑based tools, agentic workflows, and automation frameworks to: Accelerate RTL design optimization and design‑space exploration Assist in testbench generation and corner coverage Improve debug efficiency across simulation and silicon learning loops Define semicustom methodology for memory design Drive full-chip integration including CDC, Lint, synthesis, STA and power analysis. Collaborate with CAD, EDA, and software teams to integrate AI‑driven flows into simulation, verification, and design sign‑off environments. Collaborate closely with architecture, design, verification, and physical design / layout teams. Oversee and manage the layout process including floor-planning, placement, and routing. Perform block-level and full-chip verification including functional, timing, power and reliability analysis using industry standard and Micron-specific simulators and tools. Contribute to cross-group communication to work towards standardization and group success Provide technical mentorship and participate in design and methodology reviews. Drive innovation into the future memory generations and design methodology within a dynamic w
At Beyond Finance, we've made it our mission to help everyday Americans escape the endless cycle of crippling debt and step into a brighter financial future. Through compassionate, individualized care, a culture focused on compliance and ethics, supportive user-centric technology, and customized financial solutions, we've helped over 1 million clients on their path to a brighter future. While we're proud of what we've already accomplished, we're searching for new collaborators to help us get to the next level! If you're looking to join a forward-thinking, rapidly growing organization with helping people as its number one goal, we want to hear from you. The Role As a Senior Security Engineer, you'll harden the security posture of our AWS environment and our software development pipeline. Cloud Security and vulnerability management in Wiz are the primary focus. You'll partner with DevOps, Engineering, and our Application Security Engineer to build preventative controls across infrastructure, identity, and CI/CD. The work is hands-on: configuring tooling, reviewing architecture, hardening pipelines, and supporting application security work where your range is needed. Key Responsibilities Own cloud security posture across our AWS environment using Wiz and AWS-native services, reducing risk across IAM, network segmentation, container security, secrets, and data exposure. Establish secure defaults in our Infrastructure as Code through reusable modules, guardrails, and policy as code. Harden CI/CD pipelines in partnership with DevOps. Run vulnerability management across cloud and application findings: intake, prioritization, SLA tracking, and remediation with engineering. Build automation that scales the program: ingestion, deduplication, prioritization, and developer-facing workflows. Instrument telemetry, alerting, and runbooks for the systems you own. Operate and tune our WAF: managed and custom rules, rate limiting, and bot mitigation. Requirements 5+ years of hands-on
Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. We’re looking for a Staff Forward Deployed Engineer who’s excited to build with the engineers using the AI computers Tenstorrent makes. You will create continuity between customers, engineering, and AI inference service products. This is an engineering role first: you contribute production code, operate deployments, and you can explain a trade-off to customer leadership as clearly as to core engineering teams. This is a high-autonomy role with direct customer impact. This role is remote, based out of North America, with preference near one of our main hubs: Santa Clara, CA; Austin, TX; or Toronto, ON. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are You understand how accelerator compute, memory, and networking topology constrain AI workloads, and don't treat hardware as a black box. You're an early adopter of AI for your work from coding to building agentic workflows that multiply your impact. You work directly with customers to understand their challenges and provide effective solutions. You are comfortable debugging across the full inference stack: from failing requests, through the serving layer, down to OOMs or kernel dispatch if n
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 Staff Security Engineer for our Enterprise Security team. The threats facing modern organizations are evolving at an unprecedented pace — driven by AI, cloud complexity, and an ever-expanding attack surface. Our Enterprise Security team is responsible for protecting Snowflake, our employees, and our customers by designing, implementing, and maintaining robust endpoint security solutions at enterprise scale, defending not just endpoints and identities, but the AI-assisted workflows and intelligent systems that define how the modern enterprise operates. AS A STAFF SECURITY ENGINEER AT SNOWFLAKE, YOU WILL: Develop, maintain, and scale Snowflake's endpoint security solutions while actively contributing to architecture and strategy. This includes EDR, DLP, secure browser, MDM, and AI security solutions across a complex multi-cloud, multi-SaaS enterprise environment. Own the technical roadmap for endpoint security tooling as Snowflake rapidly grows. Build intelligent security platforms and automate security operations using AI and robust software engineering. Identify opportunities to reduce toil, increase detection fidelity, and accelerate response through thoughtful, scalable automation. Monitor security events, investigate incidents, and build real-time detecti
About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations Sweden About the Role Cloudflare’s Forward Deployed Engineers (FDEs) operate at the intersection of product engineering and customer impact. As an FDE, you will be embedded within one of Cloudflare’s most strategic global customers, working side-by-side with their engineering teams to build and deploy solutions using Cloudflare’s platform. Unlike traditional Solutions Architects or consultants, you will write production code, s
About the Team The ChatGPT Learning team focuses on building the next generation of learning experiences inside ChatGPT. Learning is already one of the largest consumer use cases on the platform, with millions of people each week using ChatGPT to understand concepts, practice skills, and get unstuck while learning. Our goal is to evolve ChatGPT from a place people go for one-off answers into a platform that helps people learn, grow, and make progress over time. We are exploring how AI can expand access to powerful learning tools for people everywhere—helping individuals better understand the world, build new skills, and pursue their goals. This team sits at the intersection of product engineering, design, AI research, and education, working to bring powerful learning experiences to a global audience. About the Role As a Full Stack Engineer on the ChatGPT Learning team, you will help design and build new product experiences that enable millions of people to learn with ChatGPT. You’ll work across the stack—from user-facing interfaces to backend services—to ship product features that make learning more intuitive, engaging, and effective. You’ll collaborate closely with researchers and platform teams to bring cutting-edge model capabilities into real-world products, helping translate advances in AI into experiences that people can use every day. We’re looking for engineers who enjoy building polished product experiences, operating with high ownership, and solving ambiguous problems that sit at the intersection of AI research and consumer software. This role is based in San Francisco or New York City. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. What You’ll Do Build end-to-end product experiences that help people learn with ChatGPT. Design and implement new multimodal capabilities that bring text, images, voice, and interactive interfaces into learning workflows. Develop scalable backend services and APIs t
Why p44LSP.ai? At project44, we believe in better — and p44LSP.ai is what better looks like for the logistics service provider market. For years, project44 focused on global shippers as our core customer. That focus worked. Our Shipper business is a category leader growing 20% year-over-year. That strength is what makes the next chapter possible. Shippers and LSPs are fundamentally different businesses. Shippers buy logistics software to support their core operations. Logistics Service Providers — freight forwarders, brokers, and 3PLs — sell logistics as their product. Their software is their competitive edge. They buy fast, build on APIs and agents, and reward teams that ship in weeks, not quarters. This is why we created p44LSP.ai: a dedicated, AI-native division built to serve the LSP market with the focus, speed, and resources it deserves. It's the scope and ownership of an AI startup, backed by the infrastructure of a $124M business — 259K carriers, billions of shipment outcomes, agents in production, and direct access to project44's data graph, carrier network, and enterprise relationships. This is a small, hand-picked team operating across Chicago, San Francisco, Bangalore, and the EU. Flat org. Forward-deployed engineering. AI coding tools across the workflow. Agents as the product surface. Customers who pilot in weeks and tell you what they think directly. The LSP market is moving fast. AI agent startups are growing 300%+ year-over-year, and seven of eight sell to LSPs. We have the data position, the platform, the customers, and now the team. We're hiring the engineers who will build it with us. AI at LSP44 Every LSP44 team member is expected to be an intelligent, hands-on user of AI - and for Product, that bar is even higher: the products you’re defining are AI agents. We don’t expect
Location Details: At GoDaddy the future of work looks different for each team. Some teams work in the office full-time, others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely. Remote: This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings. Join our team Our Global Sustaining Engineering team sits at the intersection of software engineering and infrastructure, ensuring the services our customers depend on are fast, resilient, and always available. As a Senior Site Reliability Engineer, you'll take direct ownership of production services — from initial design through day-to-day operation — while partnering with product, engineering, and security teams to build and maintain business-critical systems. In this role, you will deepen your technical expertise and grow your leadership presence by mentoring the next generation of SREs. You will also gain hands-on experience with intelligent tooling in real-world workflows. What you'll get to do... Design, implement, and operate scalable, highly available production services while diagnosing and resolving complex infrastructure, network, and application issues Build and maintain alerting pipelines, dashboards, and SLO-driven monitoring strategies using Icinga, Prometheus, and Grafana Lead incident response end-to-end — performing root-cause analysis, authoring blameless post-mortems, and driving corrective actions to closure Develop and extend Infrastructure as Code coverage and build internal tooling that eliminates manual, repetitive operational work Mentor SRE I and SRE II engineers through code reviews, debugging sessions, and knowledge-sharing talks Apply LLM-driven log analysis, anomaly detection, and generative AI tools to accelerate incident response and runbook creation — validating all outputs before use Your experien
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