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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. About the Team Micron’s Cyber Defense & Resiliency organization is responsible for protecting the company’s global technology environment through modern security architecture, engineering, detection, and response capabilities. We drive strategic cybersecurity initiatives that strengthen enterprise resilience, advance Zero Trust principles, and ensure security capabilities evolve alongside emerging threats, cloud adoption, and AI technologies! About the Role As a Principal Cybersecurity Domain Architect, you will serve as the technical authority for Network Security, Endpoint Security, and Detection & Response! This is a deep, focused role for an architect who wants authority and mastery in a defined lane rather than breadth across the entire enterprise. You will set the direction for how Micron designs, deploys, and operates its network, endpoint, and detection and response capabilities, and be the go-to design authority that engineering, operations, and security leadership rely on within these domains. As we adopt AI and autonomous agent technologies at pace, this role extends detection and response to cover agentic defense, detecting and responding to threats against and originating from AI agents. Key Responsibilities Own and evolve reference architectures, standards, design principles, and multi-year roadmaps for Network Security, Endpoint Security, and Detection & Response. Serve as the enterprise security design authority, conducting architecture r

Opportunity Overview: We are seeking a Senior Actuarial Analyst to join our Actuarial team. In this role, you will own the models and core reporting that quantify customer outcomes, impact, and cost savings for Cohere’s prior authorization programs, and present what is driving those results to internal leadership and external customers. You’ll partner closely with clinical, customer success, and data teams to keep the numbers accurate and consistent, making this an opportunity to shape how Cohere measures and communicates the value it delivers. This is a remote-first role that may require travel to Boston, MA for new hire onboarding and occasional in-person team meetings and company events. What you’ll do: Own and maintain client-facing reporting that measures cost savings, outcomes, and performance of prior authorization programs across specialty areas (MSK, cardiology, diagnostic imaging, therapy, sleep, and others). Build, maintain, and QC the actuarial models and methodology behind that reporting, and keep them ready to scale to new clients and lines of business. Analyze and interpret authorization and claims data to identify trends, key drivers, and opportunities to improve customer value, and quantify the dollar and utilization effect of each. Design and run impact evaluations and post-implementation assessments: define intervention and comparison cohorts, baselines and benchmarks, units of measurement, and methods (pre and post, difference-in-differences, quasi-experimental), including sensitivity analyses that isolate true Cohere impact and validate savings. Reconcile authorization-based impact against realized claims, and investigate and explain month-over-month and quarter-over-quarter changes. Prepare and present clear, executive-level insights and results to external customers and internal leadership, articulating assumptions, drivers, and implications. Partner closely with customer success, clinical, and actuarial teams to align metrics, assumptio

Opportunity Overview: We are looking for a detail-oriented Senior Actuarial Support Analyst to join our Actuarial team. In this role, you will be responsible for evaluating cost-saving initiatives that enhance the efficiency and effectiveness of the prior authorization process. The ideal candidate will have extensive experience in healthcare analytics, financial modeling, and prior authorization, along with a strong strategic mindset and data-driven problem-solving skills. The work will be fast-paced and project-based, with evolving needs - requiring curiosity, flexibility, and grace under pressure. At a growing organization, this is a position that offers the ability to make a substantive mark on the company and its partners with exponential growth opportunities. You will be part of the Actuarial team and develop & maintain cost savings models. This is a remote-first role that may require travel to Boston, MA for new hire onboarding and occasional in-person team meetings and company events. What you’ll do: Design and maintain complex financial models to track and analyze cost-saving initiatives, providing regular updates and insights to senior leadership and stakeholders. Perform advanced data analysis to assess prior authorization & claims trends, decision patterns, and cost drivers. Lead the design and development of financial models to quantify the impact of proposed cost-saving initiatives and forecast cost reduction outcomes for business cases. Use statistical and data visualization tools to identify trends, patterns, and anomalies in claims data that may indicate areas for improvement on savings. Prepare detailed and executive-level reports and presentations that summarize cost-saving achievements, project performance, and future cost-saving potential. Act as a trusted advisor to leadership and key internal & external stakeholders, providing strategic insights, recommendations, and guidance on cost-saving strategies. Work closely with clinic

CLEAR is building THE secure identity company of the future. Our mission is to make experiences safer and easier—physically and digitally. With more than 43 million Members and a growing network of partners across the world, CLEAR's secure identity platform is transforming the way people live, work, and travel. Whether it’s at the airport, stadium, or throughout your everyday life, CLEAR unlocks the magic of frictionless experiences. As a Senior Business Recruiter, you’ll lead business-critical searches across CLEAR, with a focus on senior and highly specialized talent. You’ll partner closely with leaders to shape talent strategies, build high-caliber pipelines, and deliver exceptional hiring outcomes while raising the bar for recruiting across the organization. What you'll do: Full-cycle recruiting for senior, specialized, and business-critical roles, developing tailored search strategies to attract and close exceptional talent Serve as a trusted talent advisor to leaders, translating business needs into clear talent strategies and using market intelligence, data, and insights to influence hiring decisions Build long-term talent pipelines through proactive sourcing, talent mapping, and relationship building, strengthening CLEAR’s access to high-caliber talent for current and future needs Design and drive thoughtful interview and selection strategies for complex searches, proactively identifying risks and creating efficient, high-quality experiences for candidates and hiring teams Partner with Compensation and People leadership on competitive offers and complex negotiations, while leading initiatives that strengthen recruiting processes, interviewer capability, employer brand, and Talent Acquisition effectiveness How you'll measure success: Time-to-fill decreases while quality-of-hire increases Offer acceptance rate increases Hiring manager and candidate experience What you're great at: 5+ years of full-cycle recruiting experience with a track record of hiring senio

For more than 30 years, SonicWall has delivered a partner-first unified cybersecurity portfolio that helps SMBs, MSPs, and IT teams consolidate network security, endpoint security, security service edge (SSE), and threat response across hybrid environments. By bringing connected technology, real-time threat intelligence, automation, and expert services together, SonicWall helps organizations simplify security operations, achieve better security outcomes, and lower total cost of ownership. Backed by a global ecosystem of more than 17,000 partners, SonicWall delivers enterprise-grade protection built for SMB and mid-market realities. For more information, visit www.sonicwall.com or follow us on X, LinkedIn , Facebook , and Instagram . Role Overview: We are seeking a Senior Director of Software Engineering to lead the architecture, development, and global scale-out of our Security Service Edge (SSE) platform. This role is responsible for building and evolving our cloud-native security platform that delivers comprehensive protection across users, devices, applications, data, and network traffic — spanning branch, hybrid, multi-cloud, and internet environments. The ideal candidate is a seasoned engineering leader with deep expertise in distributed systems, cloud-native architecture, and enterprise security platforms. You will shape the long-term technical strategy, drive execution excellence, and build a high-performing engineering organization in India that supports a globally deployed SaaS platform. Key Responsibilities: • Define and execute the long-term engineering roadmap for the SSE platform aligned with business objectives. • Build, mentor, and scale high-performing engineering teams. • Establish strong architectural governance, engineering best practices, and quality standards. • Champion secure-by-design principles across application code, infrastructure, and CI/CD pipelines. • &

Perplexity is seeking a TLM (Tech Lead Manager) to lead and grow our highly driven Agents engineering team. The Agents team consists of AI/ML, backend, and full-stack engineers who collaborate to build delightful agentic experiences within our Comet ecosystem . Our vision is to empower our users with AI agents that can faithfully actualize their intent, however and wherever expressed, through open-ended interactions with the world. As the Agents TLM, you will bring AI expertise, sharp product intuition, and strong engineering management skills to advance the frontier of what agents can accomplish for our millions of devoted users. You will lead, grow, and support a team in solving many open problems in AI, including: Designing AI agents to navigate the digital world and perform increasingly valuable units of work for our users; Training action and decision models that determine, based on complex multimodal states, how to accomplish user-specified objectives; Providing consistently excellent experiences across desktop, mobile, headless cloud, and other environments through flexible abstractions and frictionless backgrounding; Developing permission architectures, payload classifiers, and other methods to implement secure-by-design agentic capabilities; Designing optimal data representations and modes of interaction between agents and their environments; and much, much more. Responsibilities Provide technical leadership across multiple layers of a rapidly growing product in the AI agents space. Develop and leverage cutting-edge AI models, infrastructure, and browser technologies to advance the capability frontier and scale those capabilities for a rapidly growing userbase. Exercise sharp technical & product intuition to guide the team’s system architectures and product roadmaps. Drive product reliability, code quality, AI evaluation, testing, and maintenance for the broader team. Oversee hiring, onboarding, and mentorship for a rapidly growing team. Develop rigorou

Perplexity is seeking energetic engineers to join our highly driven Agents engineering team. The Agents team consists of backend, full-stack, and AI/ML engineers who collaborate to build harnesses and AI systems powering delightful agentic experiences. These experiences include Perplexity Computer (our platform for generalized frontier intelligence), the Comet ecosystem , our Agent API, and more. Our vision is to empower our users with agents that can faithfully actualize their intent, however and wherever expressed, through open-ended interactions with the world. As an engineer on our Agents team, you will bring AI expertise, sharp product intuition, and a tinkerer's mindset to advance the frontier of what agents can accomplish for our millions of devoted users. You will work across applied research and engineering to solve many open problems in AI, including: Designing AI agents to navigate the digital world and perform increasingly valuable units of work for our users; Training action and decision models that determine, based on complex multimodal states, how to accomplish user-specified objectives; Providing consistently excellent experiences across desktop, mobile, headless cloud, and other environments through flexible abstractions and frictionless backgrounding; Developing permission architectures, payload classifiers, and other methods to implement secure-by-design agentic capabilities; Designing optimal data representations and modes of interaction between agents and their environments; and much, much more. Responsibilities Engineer agent harnesses that connect powerful models with the environments and tools required to perform economically valuable work for users. Drive cutting-edge AI capabilities across multiple layers of a rapidly growing product in the AI agents space. Develop and leverage cutting-edge AI models, infrastructure, and browser technologies to advance the capability frontier and scale those capabilities for a rapidly growing userbase. Ensu

At Ripple, we’re building a world where value moves like information does today. It’s big, it’s bold, and we’re already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs. If you’re ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value. THE WORK: Based in São Paulo and reporting to the Managing Director of LatAm, you'll own a portfolio spanning the Top 50 Banks in Latin America, with a major focus on Brazil, plus strategic capital markets infrastructure accounts. You'll lead the consultative pre-sales motion and close new business across Ripple Core (Ripple Payments, On/Off Ramp, Acceptance Stablecoin/Fiat, OTC, Custody WaaS, Custody Vault, and RLUSD Growth), coordinating with our Ripple Prime and Ripple Treasury business units. You're the main point of contact for your accounts, working closely with Customer Success, Business Development, Client Solutions, and Partner Engineering. This is a high-ownership, quota-carrying role. You should already know these institutions and how to get the meeting. It's an individual contributor role today; as you bring in revenue, there's a path to build and lead a team. WHAT YOU’LL DO: Get inside the institution. Understand treasury, FX, ops, capital markets, and compliance pain deeply enough to design a real solution, not run a pitch. Build pipeline and close, leading with the complete offer rather than a single product, and expand into adjacent products once the first is live. Consistently meet or exceed quarterly targets, with accurate forecasting and clean CRM hygiene. Serve as the main point of contact and escalation owner, coordinating with Client Soluti

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. With over half a billion rides and counting, Lyft is solving hard problems in a flourishing domain with a lot of data and creative solutions in Marketplace, Mapping, Fraud, Growth and beyond. We're actively building the next-generation Machine Learning (ML) platform for low-cost, ultra-immersive transportation to improve people’s lives using modern ML with peta-byte scale data. Our Machine Learning Engineers are excited to work on these challenging problems and redefine solutions to directly impact various aspects of Lyft's primary business. If you are a student with experience in machine learning workflows, passionate about solving challenging problems using data and working in a dynamic, creative, and collaborative environment, this opportunity is for you! Responsibilities: Contribute to the design, build, train and test of Machine Learning models Write production-level code to convert ML models into working pipelines Partner with Product Managers, Data Scientists, and fellow ML Engineers to frame Machine Learning problems within the business context Analyze experimental and observational data, communicate findings to support decisions Participate in code and spec reviews to ensure code quality and distribute knowledge Experience: Currently pursuing a Bachelor's, Master's, or PhD degree in Computer Science or a related technical field from a university in Canada (required) , with a graduation date between December 2027 and Summer 2028 (required). For any candidates who are master's students who worked between their bachelor's and master's programs: candidates should also have less than 2 years of relevant full-time work experience Available during Summer 2027 for the internship in Toronto Good understanding and knowledge of ML libraries like scikit-learn, Tensorflow, PyTorch, Keras, MXNet, et

As a Product Manager – IaC Detection, you will define, build, and launch capabilities that proactively detect infrastructure issues in code (e.g. Terraform, Helm) before they can be deployed into production and escalate into production incidents. The Infrastructure Monitoring team has pioneered shift-left detection in the industry with Bits Infrastructure Operations , and we’re looking for a Product Manager to expand this capability to a broader set of use cases Customers (and thus developers) are increasingly standardizing on IaC tools to deploy and maintain ever-growing infrastructure in the cloud. At the same time, SREs and Infra teams struggle with an increasing number of production incidents. By shifting-left and identifying high-impact infra changes before they are deployed, we help reduce production incidents, reduce waste, and free up SRE time to focus on value-added tasks. You will own the roadmap to expand IaC detection to a broader set of use cases, including cost detection, blast radius impact, as well as configuration changes on infrastructure powering applications like nginx, postgres and more. You’ll partner closely with Engineering, Design, and customers to build and iterate on the roadmap, build product market fit, drive customer adoption (including internal usage), and focus on coverage and correctness of the AI system. This is an opportunity to lead an initiative at the intersection of AI, infrastructure operations, and autonomous observability. 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 the product roadmap for IaC Detection, enabling customers to proactively detect and catch high-impact infrastructure and configuration changes before they are deployed into production and escalate into incidents. Define the end-to

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 Professional Services Technical Architect at GitLab, you'll lead the technical direction of customer engagements from early scoping and discovery through delivery. You'll design high-level architectures and implementation plans for GitLab infrastructure and functionality, and you'll make sure deliverables align with customer requirements and the Statement of Work (SOW). You'll coordinate and guide implementation work across GitLab Professional Services and partner consultants, support customers deploying GitLab in cloud and on-premises environments using tools like Terraform, Ansible, and the GitLab

About DevRev At DevRev, we're building the future of work with Computer – your AI teammate. Unlike traditional tools, Computer unifies all your data sources, tools, and workflows into a single AI-ready platform, giving employees real-time insights, proactive suggestions, and powerful agentic actions. It extends your existing software with AI-native apps and agents that work alongside your teams and customers – updating workflows, coordinating across teams, and eliminating repetitive work. We call this Team Intelligence: human-AI collaboration that breaks down silos, brings people back together, and frees you to solve bigger problems. Backed by Khosla Ventures and Mayfield with $150M+ raised, DevRev is trusted by global companies across industries. Product Marketing Manager We're looking for a Product Marketing Manager to turn compelling narratives and hypotheses into measurable go-to-market activities: attracting technical professionals and buyers, and driving adoption of Computer across self-serve and enterprise audiences. You'll define how a product area is positioned and brought to market, own the go-to-market strategy, and execute it across segments. We expect you to build the engine while staying deeply in the work, writing the messaging, running the launch, and reading the results yourself. What you'll do Lead go-to-market strategy and execution for launches and feature releases, owning the launch plan, ICP, value drivers, and coordination with product, design, sales, and demand gen. Define positioning, messaging, and differentiation across segments, from solo sign-ups to enterprise buyers. Build a measurement framework that gives clear visibility into expected outcomes and lets you track traction continuously: pipeline, sign-ups, activation, adoption, win rate. Own the competitive narrative for your area (against horizontal AI, legacy CX/EX tools, and build-it-yourself alternatives), translated into battlecards and objection handling the field can use. Partne

About Supabase Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. About the Role We're looking for an Engineering Manager to lead the Billing team at Supabase. Billing owns the monetization and revenue systems that turn platform usage into accurate customer charges and finance-ready revenue data. The team’s scope includes plans, subscriptions, usage-based billing, invoices, payments, credits, coupons, taxation, dunning, collections, pricing mechanics, entitlements, marketplace and partner billing paths, and integrations with providers such as Stripe and Orb. Billing sits at the intersection of engineering, product, finance, data, support, and partnerships. The systems are revenue-critical and trust-critical: they must remain correct, predictable, supportable, observable, and extensible as Supabase grows and introduces new products, pricing models, and partner channels. This is a people, delivery, and technical leadership role. We don’t expect managers to contribute production code directly, but we do expect you to participate in architecture and design discussions, challenge plans with sound technical reasoning, and set a high bar for correctness, reliability, and operational maturity. What You'll Be Responsible For Team & People Build a healthy, high-trust team culture in a remote-first, globally distributed environment. Run 1:1s, performance management, career development, and onboarding for your direct reports. Coach engineers working across backend application code, data pipelines, external integrations, and operational workflows. Build durable ownership across the team so critical billing knowledge, access, and incident response do not depend on one person. Handle people administration, including leave and time off, for your team. Hiring Own the hiri

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. We are the Data team within Plaid’s Fraud organization. We build the machine learning systems that power Plaid’s fraud detection products, leveraging Plaid’s network data to help identify and prevent fraud before it happens. Our team owns the end-to-end ML lifecycle, from feature pipelines and model training to production serving and monitoring, ensuring our systems are reliable, scalable, and built to support hundreds of customers and data partners. As a Data Scientist on the Fraud Data team, you will analyze customer and network traffic to understand how Plaid Protect performs across a range of use cases and customer segments. You’ll build dashboards and metrics that provide a clear, shared view of product performance, run backtests to evaluate performance and identify high-impact rules and model strategies, and generate insights that support customer growth and expansion. You’ll also design scalable data models and schemas to enable reliable analysis and reporting, while partnering closely with Product and Engineering to design and analyze experiments for new customer-facing features. Responsibilities: Work at the intersection of product analytics, machine learning, and fraud a

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. We are the Fraud Data team within Plaid's Fraud organization. We leverage relationships and activity across Plaid’s network to develop machine learning models that help customers detect and prevent fraud while minimizing friction for legitimate users. Our team owns the full model lifecycle, from data processing and experimentation to feature pipelines, model serving, and monitoring. In this research role, you’ll partner closely with Machine Learning Engineers and Data Scientists to uncover new signals, explore and evaluate innovative modeling approaches, and translate promising research into production-ready solutions that strengthen fraud detection across Plaid’s network. As a Senior Research Scientist, you will lead applied research to develop next-generation fraud detection models across relational graphs, sequential events, images, and video data. You’ll design rigorous experiments and evaluation methodologies that reflect real-world fraud dynamics, while exploring state-of-the-art approaches such as Graph Neural Networks and Transformer-based foundation models. In close partnership with Machine Learning Engineers, you’ll translate promising research into production-ready solu