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Location: Remote, Canada; Remote, United States 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 Staff Investor Relations team member at GitLab, you'll help rebuild our investor relations (IR) processes and shape how we communicate GitLab's strategy and performance to the public markets. Working closely with our VP of Finance Strategy & Operations, Chief Financial Officer (CFO), and executive team, you'll be a senior individual contributor with broad ownership of investor communications and relationships. You'll connect insights from across the business to explain our technical products, evolving business models, and long-term investment thesis. What You’ll Do Lead key workstreams of the quarterly earnings process, including messaging, scripts, questions and answers, data collection and synthesis, and conference call preparation; build repeatable processes with Finance, Legal, and executive leadership. Gather insights from research and development, Product, Sales, and other business leaders to explain GitLab's strategy, technical products, and business model transitions in investor communications and board materials. Own relationships with sell-side analysts and the investment community, monitor analyst models and consensus against our forecast, and flag gaps or risks to the head of IR and CFO. Prepare the Chief Executive Officer (CEO), CFO, and other executives for investor meetings, conferences, and roadshows; lead investor calls independently when executives aren't available, explaining how GitLab's business works and answering investor questions. Analyze peer and competitor earnings, Securities and Exchange Commission (SEC) filings, and investor days; maintain benchmarking analyses and deliver quantitative and qualitative insights for executive and board discussions. Track GitLab's shareholder base and recommend investor targeting strategies to expand and maintain key ownership positions. Draft and review earnings decks, shareholder letters, fact sheets, and IR website content; partner with Finance, Legal, Communications, and Strategy to keep messaging consistent, accurate, and compliant with disclosure requirements, including Regulation Fair Disclosure (Regulation FD). Plan and deliver Investor Day with the head of IR to communicate GitLab's long-term story, alongside investor outreach, non-deal roadshows, and corporate access events. What You’ll Bring Experience evaluating software businesses from a buy-side or sell-side investment perspective, gained through investing, equity research, investor relations, or a related field. Financial modeling, valuation, and quantitative analysis skills, with the ability to identify the business drivers that shape investor expectations. Experience producing or analyzing earnings materials and investor presentations, and explaining technical software products, evolving business models, and financial performance clearly in writing and conversation. You can work directly with senior executives and offer an informed point of view. Working knowledge of SEC reporting, Regulation FD, and public company disclosure practices. Proficiency with presentation and spreadsheet tools, experience with IR and market data platforms, and experience using artificial intelligence (AI) to improve workflows or a willingness to develop that capability. The ability to work independently and manage competing priorities in an all-remote, asynchronous-first environment, with an approach that reflects GitLab's values, especially transparency and efficiency. Nice to have: prior experience building an internal IR function. About the team GitLab’s Investor Relations team drives the strategy and long-term market positioning of GitLab in the public financial markets. We are a small team, so each member has broad ownership and visibility across all aspects of IR. How GitLab will support you Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental leave Home office support Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $139,200 — $235,200 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Limassol, Cyprus Workplace: hybrid We are looking for a Staff Product Manager to shape this product from an early stage and lead it through validation, launch and international scale. We are building a new product that enables people across inDrive’s global user base to earn additional income by completing tasks that generate high-quality training data for AI. Following a successful pilot, we are moving from a partner-led solution towards our own scalable platform. It will connect demand from AI companies with distributed data collection and labelling, covering the full journey from buyer requirements and task design to contributor payouts, quality assurance and dataset delivery. Key Responsibilities Own the end-to-end product strategy, roadmap and outcomes for the Data Tasks platform. Translate data buyer requirements into scalable collection, annotation and quality-control workflows. Design the full product journey across both sides of the platform: enterprise buyers and task contributors. Build capabilities for task creation and distribution, contributor onboarding, payouts, data submission, validation, labelling and dataset delivery. Define the right balance between building internal capabilities, using external platforms and working with specialised partners. Establish product metrics across demand, supply, data quality, unit economics and contributor experience. Run discovery and experiments to improve acquisition, activation, task completion, retention and payout experience. Work closely with Commercial, Engineering, Data, Operations, Legal, Privacy, Information Security and market teams. Ensure the platform can support multiple data types, including audio, text, images, video and multimodal data, across different countries and use cases. Skills, Knowledge and Expertise Significant product management experience, including ownership of complex products at Staff, Principal or equivalent level. Proven experience building and scaling a new product or platform from an early stage. Strong systems thinking and the ability to design end-to-end products involving multiple users, workflows and operational processes. Experience with B2B platforms, marketplaces, crowdsourcing, data products, AI/ML infrastructure or workflow products. Strong commercial judgement and the ability to connect customer needs, product decisions and unit economics. Ability to work with enterprise customers and translate technical or specialised requirements into scalable product solutions. Strong analytical skills and experience defining metrics, running experiments and making decisions under uncertainty. Ability to operate independently, bring clarity to ambiguity and influence senior stakeholders without relying on formal authority Fluent English and clear written and verbal communication skills. Nice to have Experience with AI training data, data collection, annotation, model evaluation or quality-assurance systems. Experience building two-sided marketplaces or products involving distributed contributor networks. Experience launching products across emerging markets and adapting them to local payment, legal and operational constraints. Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Annual salary from 90 700 EUR gross. Final benefits may vary depending on the location.

Location: London, England 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 Our Infrastructure teams build the foundation that engineers at Wolt, Deliveroo, and DoorDash build on: the compute, cloud, and networking capabilities that enable Engineering teams to develop, deploy, and run services at global scale. The EU Compute team has a specific focus on provisioning, scaling, and the efficient operation of GPU infrastructure for AI and ML workloads. This is an emerging space with plenty of greenfield opportunities. We're looking for a Staff Engineer to be a hands-on technical leader for this infrastructure work that crosses team and brand boundaries. You'll set direction for the platform, turn complex problems into deliverable plans, write and review production code, and help other engineers make sound decisions. It's an exciting time to join: we're building a global platform and the choices made now will shape how engineers across the company ship for years. What you’ll be doing You'll own some of the hardest infrastructure problems in the company and make the platform easier to operate and safer to build on. We’re determined to build great platform products and user experiences, and you’ll be pivotal in making this reality. Day-to-day in this role you’ll: Set technical direction for shared AWS and Kubernetes infrastructure, balancing reliability, security, developer experience, and cost. Lead substantial initiatives from design through rollout and operation, coordinating dependencies and decisions across Wolt, Deliveroo and DoorDash, focusing on workloads targeting GPUs. Evolve Kubernetes clusters, cloud networking, identity, and infrastructure provisioning to support growing and varied workloads. Build reusable Terraform patterns and self-service tooling that help teams provision infrastructure safely and consistently. Improve deployment and operational practices, including GitOps, observability, capacity planning, incident response and recovery. Use production signals and developer feedback to find platform friction, choose where to invest and measure whether changes actually help. Assist with supporting the platform, with deep focus on GPU infrastructure, as well as broad focus on compute in general. Gracefully sunset legacy infrastructure and tooling, and create strategies to reduce toil. Mentor engineers through design reviews, implementation and incidents, raising the quality of infrastructure work across teams. Our humble expectations Deep experience building and operating Kubernetes and AWS infrastructure in production. Familiarity with GPU workloads and orchestration is a plus. Strong software engineering skills: you use Go, Python or a similar language to build maintainable tools and automation. Experience with infrastructure as code (we use Terraform) and with designing systems that other engineering teams depend on. A track record of leading complex technical work across teams, including architectural decisions, delivery, and operational follow-through. You have the breadth to collaborate and design across team and domain boundaries, and the depth to have hands-on impact. Strong judgment on trade-offs in distributed systems, networking, security, reliability, and cloud cost. Clear communication, and the ability to bring people together around a practical technical direction. What we offer Scope and influence. Shape infrastructure used globally, while staying close to the engineering. Your work will help product teams ship services with greater ease and confidence. Real problems at global scale. Multi-cluster Kubernetes, AI / ML workloads, cloud networking, GitOps, and progressive delivery across a global company. Autonomy and ownership. Set direction and see it through from design to operation, with the backing of a global engineering organisation spanning Europe and the US. Growth. Room to expand your scope, whether through deeper technical leadership or broader cross-domain influence. Great people. Work with talented engineers and leaders in a diverse, international environment, mentoring and learning from others. Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .

Location: Berlin, Germany 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 Our Infrastructure teams build the foundation that engineers at Wolt, Deliveroo, and DoorDash build on: the compute, cloud, and networking capabilities that enable Engineering teams to develop, deploy, and run services at global scale. The EU Compute team has a specific focus on provisioning, scaling, and the efficient operation of GPU infrastructure for AI and ML workloads. This is an emerging space with plenty of greenfield opportunities. We're looking for a Staff Engineer to be a hands-on technical leader for this infrastructure work that crosses team and brand boundaries. You'll set direction for the platform, turn complex problems into deliverable plans, write and review production code, and help other engineers make sound decisions. It's an exciting time to join: we're building a global platform and the choices made now will shape how engineers across the company ship for years. What you’ll be doing You'll own some of the hardest infrastructure problems in the company and make the platform easier to operate and safer to build on. We’re determined to build great platform products and user experiences, and you’ll be pivotal in making this reality. Day-to-day in this role you’ll: Set technical direction for shared AWS and Kubernetes infrastructure, balancing reliability, security, developer experience, and cost. Lead substantial initiatives from design through rollout and operation, coordinating dependencies and decisions across Wolt, Deliveroo and DoorDash, focusing on workloads targeting GPUs. Evolve Kubernetes clusters, cloud networking, identity, and infrastructure provisioning to support growing and varied workloads. Build reusable Terraform patterns and self-service tooling that help teams provision infrastructure safely and consistently. Improve deployment and operational practices, including GitOps, observability, capacity planning, incident response and recovery. Use production signals and developer feedback to find platform friction, choose where to invest and measure whether changes actually help. Assist with supporting the platform, with deep focus on GPU infrastructure, as well as broad focus on compute in general. Gracefully sunset legacy infrastructure and tooling, and create strategies to reduce toil. Mentor engineers through design reviews, implementation and incidents, raising the quality of infrastructure work across teams. Our humble expectations Deep experience building and operating Kubernetes and AWS infrastructure in production. Familiarity with GPU workloads and orchestration is a plus. Strong software engineering skills: you use Go, Python or a similar language to build maintainable tools and automation. Experience with infrastructure as code (we use Terraform) and with designing systems that other engineering teams depend on. A track record of leading complex technical work across teams, including architectural decisions, delivery, and operational follow-through. You have the breadth to collaborate and design across team and domain boundaries, and the depth to have hands-on impact. Strong judgment on trade-offs in distributed systems, networking, security, reliability, and cloud cost. Clear communication, and the ability to bring people together around a practical technical direction. What we offer Scope and influence. Shape infrastructure used globally, while staying close to the engineering. Your work will help product teams ship services with greater ease and confidence. Real problems at global scale. Multi-cluster Kubernetes, AI / ML workloads, cloud networking, GitOps, and progressive delivery across a global company. Autonomy and ownership. Set direction and see it through from design to operation, with the backing of a global engineering organisation spanning Europe and the US. Growth. Room to expand your scope, whether through deeper technical leadership or broader cross-domain influence. Great people. Work with talented engineers and leaders in a diverse, international environment, mentoring and learning from others. Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .

🚀 Key Responsibilities: Support the CRO, drive cross-functional projects, track KPIs, improve operational processes, prepare executive reports, and use AI tools to streamline workflows.

As a Staff Engineer in Satellite Communications, you will own the satellite-to-ground link, the core communications protocols, and the end-to-end transmission of data from ground stations to customers. * Own the architecture of the satellite-to-ground link acrossX-band and Ka-band payload downlink and S-band command and control.

Work alongside the sales team to introduce CockroachDB to our potential customers. As a trusted advisor, you will help educate prospects on the unique capabilities of CockroachDB and design solutions to meet a wide variety of challenges.

Location: Remote - Canada What We’re Building Honeycomb is a service for the near and present future, defining observability and raising expectations of what developer tools can do! We’re working with well known companies like HelloFresh, Slack, LaunchDarkly, and Vanguard and more across a range of industries. This is an exciting time in our trajectory, we’ve closed Series D funding, scaled past the 200-person mark, and were named to Forbes’ America’s Best Startups of 2022 and 2023! If you want to see what we’ve been up to, please check out these blog posts and Honeycomb.io press releases . Who We Are We come for the impact, and stay for the culture! We’re a talented, opinionated, passionate, fiercely inclusive, and responsible group of bees. We have conviction and we strive to live our values every day. We want our people to do what they truly love amongst a team of highly talented (but humble) peers. How We Work We are a fully distributed company, which means we believe it is not where you sit, but how you deliver that matters most. We invest in our people and care about how you orient to our culture and processes. At the same time we imbue a lot of trust, autonomy, and accountability from Day 1. #LI-Remote Little more about the team: You'll be the product manager for our Canvas and Agentic AI teams - the teams building Honeycomb's AI-powered investigation experience. Canvas lets engineers use natural language to query, visualize, and understand their production systems. We're pushing well past chat: we're building Skills (pre-configured workflows that encode domain expertise into repeatable, executable actions), Auto-Investigations (agent-driven investigations that kick off before a human gets paged), and a rearchitected Canvas that's both interactive and collaborative. You'll work in a tight triad with engineering and design leads, owning the roadmap for how AI shows up in Honeycomb, from the product UI to our MCP server. You'll partner with our Director of AI Strategy, Research & Development teams, and our customer-facing teams to stay grounded in what customers actually need while pushing toward something meaningfully different from what exists today. This is a role for someone who can hold both execution and ambiguity: shipping production features while navigating a product space where the right answers are still emerging. What you’ll do in the role: Define AI product strategy in service of Honeycomb's vision Synthesize AI trends, customer needs, and technical capabilities into clear strategic recommendations Help the product organization understand where and how AI creates genuine customer value vs. where it's hype Identify emerging observability challenges created by AI adoption (e.g., LLM drift, prompt regression, low-context generated code) Make informed bets about which AI technologies and approaches warrant investment Conduct research that bridges technology and customer reality Build deep understanding of how customers are adopting AI in their engineering workflows Identify patterns across customer conversations that signal future market needs Stay current with AI/ML developments (RAG, fine-tuning, agentic systems, etc.) and translate implications for observability Engage with technical communities, researchers, and early adopters to spot trends before they go mainstream Enable AI innovation across the product portfolio Partner with product teams to identify high-value opportunities to leverage AI capabilities Provide guidance on AI approaches, trade-offs, and best practices without centralizing all decisions Help teams understand how their work fits into our broader AI strategy and how to leverage shared capabilities Synthesize cross-portfolio learnings and socialize what's working (and what isn't) Evangelize the AI-observability connection Articulate Honeycomb's point of view on AI observability both internally and externally Help customers understand how observability needs evolve as they adopt AI Contribute to thought leadership through writing, speaking, and community engagement Build credibility with technical audiences who care deeply about how we use AI, not just that we use it What you’ll bring to the role: Proven AI product experience 5+ years in product management with at least 1+ year shipping AI/ML-powered products Track record of taking AI features from concept to customer impact, including things that didn't work Deep understanding of how engineering teams actually build, deploy, and operate AI systems (not just theoretical knowledge) Familiarity with current AI/ML techniques and the judgment to know when they're applicable vs. overhyped Strategic thinking with customer empathy Ability to synthesize disparate signals (research, customer feedback, technical trends) into coherent strategy Comfort operating with ambiguity and making decisions without perfect information Pattern recognition across conversations—spotting what customers aren't yet saying clearly Strong judgment about when to say "no" or "not yet" despite exciting technology Technical credibility without needing to be the expert Enough technical depth to have earned respect from engineers and architects Genuine curiosity about how things work, paired with humility about what you don't know Ability to evaluate trade-offs between different AI approaches (RAG vs. fine-tuning, model selection, etc.) Understanding of observability principles and why they matter in production systems Communication and collaboration skills Excellent written and verbal communication—can explain complex ideas clearly to varied audiences Ability to influence without authority across product, engineering, and go-to-market teams Comfort presenting to customers, executives, and technical audiences Collaborative mindset that elevates others' work rather than centralizing control Curiosity and learning orientation Demonstrated ability to stay current in fast-moving domains (AI is evolving weekly, not yearly) Intellectual humility—you're more interested in learning than being right Excitement about the intersection of AI technology and real customer problems Energized rather than exhausted by the pace of change in AI Base Salary based on level of experience $272,739 — $320,829 CAD What you'll get when you join the Hive: A stake in our success - generous equity with employee-friendly stock program It’s not about how strong of a negotiator you are - our pay is based on transparent levels relative to experience Time to recharge with unlimited PTO A distributed-first mindset and culture (really!) Home office, co-working, and internet stipend Full benefits coverage for employees, with additional coverage available for dependents Up to 16 weeks of paid parental leave, regardless of path to parenthood Annual development allowance And much more... Please note we cannot currently sponsor or support visa transfers at this time. Additionally, in compliance with applicable law, all persons hired will be required to verify identity and eligibility to work. Phishing and Recruitment Scam Warning: We take your security seriously. Please be aware that recruitment scams are increasingly common and scammers may create email addresses or websites to impersonate Honeycomb employees. To help protect you: All communications will come from an @honeycomb.io email address We occasionally work with external recruiting agencies. These partners will use legitimate business email addresses— never personal accounts like Gmail or Yahoo . Our recruiting process will never ask you to provide financial or sensitive personal information, including but not limited to: Social security or tax identification numbers Credit card numbers Bank account information Diversity & Accommodations: We're committed to building a diverse, inclusive, and equitable workplace—where people of all backgrounds, identities, experiences, and abilities are welcomed, valued, and supported. We recognize that there is no single path to success and embrace nontraditional career journeys and diverse perspectives as key to building stronger, more innovative teams. We strive to ensure an inclusive experience throughout every stage of our hiring process and are happy to provide reasonable accommodations as needed. If you require accommodations or accessible formats at any point during our hiring process, please let your recruiter know. As an equal opportunity employer our hiring process is designed to put you at ease and help you show your best work. If there’s anything we can do to improve your experience, we’re always open to feedback. Privacy Notice: If you apply for a job at Honeycomb and your application is unsuccessful (or you withdraw from the process or decline our offer), Honeycomb will retain your information after your application for a period of time in accordance with local laws. We retain this information for various reasons, including in case we face a legal challenge in respect of a recruitment decision, to consider you for other current or future jobs at Honeycomb, and to help us better understand, analyze and improve our recruitment processes. For more information regarding our privacy practices please see the Honeycomb Privacy Notice . If you do not want us to retain your information, or want us to update it, please contact privacy@honeycomb.io . Please note, however, that we may retain some information if required by law or as necessary to protect ourselves from legal claims.

Location: San Francisco Perplexity is seeking software engineers to join our Training Infrastructure team. We’re responsible for the large-scale RL and agent evaluation platforms that enable Perplexity to train state-of-the-art models and optimize agent harnesses. We are full-stack engineers with a broad remit. If you join us, you’ll build the distributed systems that orchestrate AI workloads across global-scale compute infrastructure. You’ll also define novel user and agent interfaces for designing, managing, and launching experiments. You’ll create tools that make experiment results legible to humans and agents alike, enabling everything from ad-hoc experiment retrospectives to closed-loop autoresearch. And much more! A strong candidate will possess both experience and passion for solving difficult problems at the intersection of AI, distributed systems, and research acceleration. QUALIFICATIONS - 2+ years of experience developing and shipping distributed systems for compute-intensive workloads, with a focus on reliability, scalability, and performance. - Proficiency in a general-purpose backend language such as Python, Rust, C++, or Go, and experience with cloud infrastructure and container orchestration, such as AWS and Kubernetes. - Familiarity with reinforcement learning (RL), agent evaluation, or ML infrastructure, and an interest in building systems that accelerate experimentation and model development. - BS, MS, or PhD in Computer Science, Engineering, or a related field, or equivalent practical experience. WHY PERPLEXITY IS DIFFERENT - Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious. - Ownership. You identify the problem, design the solution and ship it. - Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. - Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. - Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence.

Location: San Francisco; Washington D.C. Perplexity is seeking an intrepid Member of Technical Staff to take on one of the AI industry's most unique engineering roles. You'll work directly with Perplexity's senior leadership to spearhead a broad portfolio of strategic technology initiatives across policy, law, operations, and corporate affairs. As a Member of Technical Staff in the Policy & Strategic Initiatives group, you'll occupy a front-row seat to the foremost policy issues animating the AI ecosystem. You'll also get a panoptic view of how leading AI companies operate, make decisions, and engage with broader society. Those seeking to marry technical expertise and broader interests in law, policy, and corporate affairs will find a home in this role. You'll make contributions to Perplexity that defy traditional boundaries, with a bench of mentors who will push you to learn and grow day after day. WHAT YOU'LL DO: Your work will be both highly interdisciplinary and firmly grounded in engineering rigor. On any given day, you might: - Harness AI agents to research high-stakes policy and regulatory issues pertaining to Perplexity. - Build automated platforms for harvesting, prioritizing, and patenting Perplexity's inventions, in collaboration with our AI researchers and intellectual property attorneys. - Work hands-on with our Legal team and outside counsel in support of high-tech litigation matters in U.S. federal court. - Engineer privacy and compliance systems that efficiently scale with our growing portfolio of frontier AI products (such as Comet https://www.perplexity.ai/comet and Computer https://www.perplexity.ai/products/computer). - Contribute to regulatory filings and responses that require impeccable command of AI technology, Perplexity's own systems, and the broader policy landscape. - Embed with our People team to implement first-party software solutions for recruiting, labor compliance, and performance management. - Participate in meetings with Capitol Hill, executive branch officials, international partners, and civil society as a subject-matter expert on both AI technology and policy. The above is a small sampling of activities; no two days will be the same, and your work will take you to all corners of our company. You'll interact each day with Perplexity's senior leaders, who will come to rely on you as a creative problem solver for simple and complex matters alike. WHO WE'RE LOOKING FOR: No single profile defines our ideal candidate for this role. Here are some examples of people who might thrive here: - Exceptionally talented early-career engineers (new grads welcome) who are (1) well-read in law, tech policy, or economics, and (2) wish to grow in both technical and non-technical disciplines. - We welcome candidates who plan to attend law school or PhD programs in the future; we ask for a minimum 2-year commitment (i.e., you would apply for the entering class of 2028 or later). - Experienced engineers at top tech companies who wish to develop policy, business, and operations chops. - Lawyers or economists (new JD or PhD grads welcome) who've kept their engineering skills sharp and are excited to reimagine their fields in the age of AI. - This is a non-exhaustive list; other profiles may also be great fits. No matter which profile describes you, we'll also be looking for: - Evidence of exceptional ability and 99th-percentile work ethic. - Strong technical skills at or above Perplexity's hiring bar for software engineers. - Fluency with frontier intelligence tools (such as Perplexity Computer https://www.perplexity.ai/products/computer). - High intrinsically-enforced standards for the craft and quality of your work. - Strong communication and writing skills, ideally demonstrated via samples of past written work product. - Curiosity and excitement about new and unfamiliar fields; eagerness to redefine your job every 3-6 months. - Ability to quickly dive deep in any given field and develop mastery rivaling that of domain experts. - Unimpeachable judgment, integrity, and discretion to be entrusted with the company's most important matters. - A service-oriented attitude that continually questions how company systems and processes might better serve stakeholders.

Location: San Francisco Bay Area, USA Workplace: Hybrid Why work at Higgsfield AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like. About the role: Higgsfield AI is looking for a hands-on Member of Technical Staff, Product Security to identify and eliminate security vulnerabilities across our rapidly evolving AI products and platforms. As we build agentic systems, code-generating agents, generative AI models, and enterprise applications, you'll play a critical role in securing new features before they reach production. Working closely with Product and Engineering, you'll conduct offensive security testing, identify architectural weaknesses, and drive fixes to their root cause. You'll also turn recurring vulnerabilities into scalable security standards and automated controls. We're looking for someone with a proven track record of finding real vulnerabilities in production systems, strong technical judgment, and the ability to work directly with engineers to build more secure products. WHAT YOU'LL DO OFFENSIVE SECURITY & VULNERABILITY RESEARCH - Conduct hands-on penetration testing of new products and features, including web applications, APIs, and administrative interfaces. - Identify security risks across agentic systems, MCP servers, code-generating agents, and AI-powered applications. - Independently map attack surfaces and uncover authorization, authentication, and multi-tenant isolation vulnerabilities. - Develop proof-of-concept exploits, validate findings, and retest remediation efforts. SECURE DESIGN & APPLICATION SECURITY - Partner with Engineering early in product development to identify and prevent security flaws before release. - Conduct threat modeling, architecture reviews, and security-focused code reviews. - Analyze complex codebases to trace vulnerabilities to their root cause and recommend effective fixes. - Assess security risks across generative AI products, user-deployed applications, and enterprise features such as SSO and role-based access controls. SECURITY ENGINEERING & AUTOMATION - Translate recurring vulnerabilities into secure development standards, reusable controls, and automated security checks. - Build security tooling and integrate preventive controls into development and CI/CD workflows. - Identify systemic weaknesses and implement solutions that prevent entire classes of vulnerabilities. - Apply cloud, container, and infrastructure security knowledge to investigate vulnerabilities across the application stack. TECHNICAL OWNERSHIP & COLLABORATION - Own security findings from discovery through remediation, working directly with engineers to implement lasting fixes. - Prioritize vulnerabilities based on exploitability, business impact, and real-world risk. - Establish practical security standards that enable rapid product development without compromising security. - Help define security practices for emerging AI technologies and new product architectures. WHAT WE'RE LOOKING FOR - 5+ years of hands-on experience in product security, application security, penetration testing, or vulnerability research. - Proven track record of independently discovering and exploiting real vulnerabilities through application security work, bug bounty programs, or security research. - Deep understanding of web application and API security, including authentication, authorization, and multi-tenant isolation. - Strong ability to read and analyze modern codebases, identify root causes, and collaborate with engineers on remediation. - Experience conducting threat modeling, secure design reviews, and hands-on penetration testing. - Proficiency in scripting or programming languages such as Python, JavaScript, TypeScript, or Go. - Familiarity with cloud infrastructure, containers, and modern application architectures. - Ability to translate security findings into scalable engineering controls and automated checks. - Strong technical judgment, independent problem-solving skills, and a proactive approach to identifying security risks. Compensation & Benefits - We offer a competitive and thoughtfully structured compensation package designed to align with impact, experience, and long-term growth. - Base Salary: The anticipated salary range for this role is $200,000 - $300,000, depending on experience, skills, scope, and location. • Bonus: This role is Bonus eligible and may participate in the Company's discretionary annual bonus program. - Equity: In addition to cash compensation, employees are eligible to participate in the company’s stock option program and share in Higgsfield’s long-term growth. - Benefits: We offer a comprehensive benefits package designed to support employees professionally and personally, including medical, dental, and vision insurance, a competitive 401(k) retirement plan with company matching, and additional benefits and perks. - The opportunity to work on ambitious AI products alongside a highly experienced, fast-moving, and international team. - Significant ownership, direct impact, and opportunities for professional growth as the company scales. This is a hybrid role based in the San Francisco Bay Area. Team members are expected to work from our San Francisco office three full days per week, with the remaining days worked remotely and are expected to be available during agreed working hours and to maintain sufficient overlap with the relevant team’s time zone. We value in-person collaboration, active communication, responsiveness, and close partnership across teams. Higgsfield AI is an equal opportunity employer. We are committed to building a diverse and inclusive team and do not discriminate on the basis of race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic.

Location: San Francisco Bay Area, USA Workplace: Hybrid Why work at Higgsfield AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like. Role Overview Higgsfield AI is looking for a hands-on Member of Technical Staff, Enterprise Security to own security across our corporate systems, employee devices, identities, and SaaS applications. As we scale globally, you'll secure the systems our workforce relies on, from endpoint management and identity governance to threat detection and response. Working closely with IT, Infrastructure Security, and Engineering, you'll implement technical controls, automate security operations, and strengthen access governance. This is a hands-on engineering role requiring someone who personally builds, configures, and operates security systems. We're looking for someone with broad corporate security expertise, strong technical judgment, and the ability to prioritize meaningful risks in a fast-moving environment. WHAT YOU'LL DO ENDPOINT & DEVICE SECURITY - Own endpoint security across corporate devices using Microsoft Intune/MDM, including enrollment, compliance, and device lifecycle management. - Implement and operate EDR/XDR capabilities, including threat detection, investigation, and remediation. - Establish endpoint hardening standards and security baselines in partnership with IT and Engineering. IDENTITY & ACCESS SECURITY - Own corporate identity infrastructure across Microsoft Entra ID, including SSO/SAML, SCIM, MFA, Conditional Access, and RBAC. - Manage joiner, mover, and leaver (JML) workflows, ensuring secure provisioning and timely offboarding across SaaS applications. - Administer password management, privileged access, and credential security controls. - Conduct access reviews and implement least-privilege and Zero Trust principles. SAAS & CORPORATE APPLICATION SECURITY - Evaluate new SaaS applications, maintain approved application standards, and identify shadow IT. - Secure corporate collaboration tools, including email, Slack, and file-sharing platforms. - Review application configurations, permissions, and authentication controls. - Lead security awareness initiatives, including phishing simulations and employee training. DETECTION, RESPONSE & AUTOMATION - Monitor and investigate security alerts across identity, endpoints, and corporate applications. - Build detection capabilities for compromised accounts, suspicious activity, and endpoint threats. - Automate provisioning, access reviews, compliance checks, and security workflows using scripts and APIs. - Partner with Infrastructure Security to integrate endpoint and identity signals into centralized monitoring. - Lead incident investigation, containment, and remediation. TECHNICAL OWNERSHIP & LEADERSHIP - Identify and prioritize enterprise security risks based on business impact. - Lead security initiatives from technical design through implementation and ongoing operations. - Establish scalable security standards and practical engineering controls. - Partner cross-functionally to strengthen security without slowing business operations. WHAT WE'RE LOOKING FOR - 4+ years of hands-on experience in enterprise security, corporate IT security, or security engineering, ideally in a high-growth technology environment. - Proven experience personally implementing, configuring, and operating corporate security systems. - Strong experience with Microsoft Entra ID, SSO/SAML, SCIM, MFA, Conditional Access, and identity lifecycle management. - Hands-on experience with Microsoft Intune/MDM, endpoint compliance, and EDR/XDR. - Experience securing SaaS applications, corporate collaboration tools, and privileged access. - Proficiency in scripting and automation using Python, PowerShell, Bash, or similar languages. - Experience with security monitoring, incident investigation, and remediation. - Strong understanding of Zero Trust, least-privilege access, and corporate security practices. - Sound technical judgment, independent problem-solving skills, and broad expertise across corporate security domains. Compensation & Benefits - We offer a competitive and thoughtfully structured compensation package designed to align with impact, experience, and long-term growth. - Base Salary: The anticipated salary range for this role is $200,000 - $300,000 depending on experience, skills, scope, and location. • Bonus: This role is Bonus eligible and may participate in the Company's discretionary annual bonus program. - Equity: In addition to cash compensation, employees are eligible to participate in the company’s stock option program and share in Higgsfield’s long-term growth. - Benefits: We offer a comprehensive benefits package designed to support employees professionally and personally, including medical, dental, and vision insurance, a competitive 401(k) retirement plan with company matching, and additional benefits and perks. - The opportunity to work on ambitious AI products alongside a highly experienced, fast-moving, and international team. - Significant ownership, direct impact, and opportunities for professional growth as the company scales. This is a hybrid role based in the San Francisco Bay Area. Team members are expected to work from our San Francisco office three full days per week, with the remaining days worked remotely and are expected to be available during agreed working hours and to maintain sufficient overlap with the relevant team’s time zone. We value in-person collaboration, active communication, responsiveness, and close partnership across teams. Higgsfield AI is an equal opportunity employer. We are committed to building a diverse and inclusive team and do not discriminate on the basis of race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic.

Location: London; Belgrade Workplace: Hybrid About the role Perplexity's fraud prevention team protects our products, users, and infrastructure from fraud and abuse across the whole lifecycle: sign-up, authentication, payments, API usage, and product features. We build and operate a real-time decisioning platform together with the surrounding systems: data pipelines for detection and model training, integrations with product and payment systems, and internal tooling for investigation and response. As a software engineer on the team, you will own services end to end, from design to production operations, and work closely with fraud analysts, ML engineers, and product teams to make abuse expensive and legitimate usage frictionless. Responsibilities - Design, build, and operate high-throughput, low-latency backend services for fraud detection and prevention - Build data pipelines and real-time feature computation that power detections and ML models - Collect and process trust signals - Integrate fraud decisions into product, auth, and payment flows across Perplexity - Own reliability of production services: observability, alerting, safe rollouts, incident response - Build internal tooling for investigation, enforcement, and auditability - Partner with fraud analysts to turn new abuse patterns into production detections quickly Qualifications - 5+ years building and operating high-throughput, latency-sensitive backend systems in production - Strong systems programming skills; Rust, Go, or C++ experience preferred (we write Rust) - Hands-on experience with Kubernetes, Terraform and cloud infrastructure - Solid data fundamentals: stream/batch computations, caching and storage trade-offs - Pragmatic, ownership-driven approach: ship incrementally, measure, and make failures degrade safely Nice to have - Fraud prevention, anti-abuse, or payments-risk domain experience - Experience serving ML models in production - Client-side experience (web or mobile) for signal collection

Location: Remote - Ontario, Canada (DNU) Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Staff Machine Learning Engineer on Twilio’s AI/ML Platform team. About the job We are actively recruiting for this role to fill an existing vacancy. This position is needed to build the foundational AI/ML capabilities and common platform tooling that power intelligent engagement experiences across Twilio. You will influence the design and evolution of our company-wide ML/AI Ops foundation, ensuring every AI capability incorporates rigorous offline and online evals to maintain exceptionally high quality. You will drive improvements to managing LLM workloads across the company, while ensuring easy and compliant access to data for AI/ML exploration and product development. This role requires a builder mindset to bridge theoretical research, production-grade experimentation, and scalable, enterprise-quality software. Responsibilities In this role, you’ll: Conduct deep-dive research into and implement state-of-the-art LLM inference and orchestration. Identify opportunities to leverage small language via fine-tuning/distillation. Build ML systems that hold up at Twilio scale. Set standards and tooling for building evals across a range of AI/ML capabilities. Rapidly acquire new technical skills and knowledge in a fast-paced, high-delivery environment. Proactively leverage and integrate the latest AI development stacks to bypass boilerplate engineering and focus on core differentiation. Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! *Required: 8+ years applied ML/AI experience with a track record of owning technically ambitious systems end to end rather than contributing to someone else's design. Comfort operating in a 0-to-1 setting with ambiguous requirements and a strong bias for action. Proficiency in Python programming language. Experience building cloud-based services on AWS, GCP, or Azure, with high-volume data, streaming or real-time inference paths, and a range of data stores. Strong fundamentals of statistical machine learning algorithms, transformer models, LLMs. Extensive experience with ML Ops and LLM Ops patterns, including designing and implementing rigorous evaluation metrics for non-deterministic AI features at scale. Strong communication skills and highly effective collaborator who works well with teammates. Familiarity with AI-assisted development tools (e.g., Claude, Codex, GitHub Copilot, Cursor, etc.). Desired: Prior experience building evals for autonomous agents and large language models. Prior experience building autonomous agents that handle multi-turn conversations and maintain long-term context/consistency. Prior experience working in a globally distributed team. Evidence of technical leadership/impact, such as contributions to open-source data/ML projects and/or published technical presentations, blog posts, papers, or research. Location This role will be remote and based in Ontario, British Columbia or Alberta, Canada. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Based on role, employees may also be eligible for additional compensation and benefits, including but not limited to incentive programs, commissions, equity grants, health and wellness benefits, retirement contributions, and paid time off. The estimated pay ranges for this role are as follows: $160,320 - $200,400 Target Bonus Percentage 12.5% The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Location: Remote, United States 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 What does software planning look like when people and artificial intelligence agents work together? As a Staff Product Manager for Planning at GitLab, you'll help answer that question and lead the team toward a clear product direction. This isn't just about improving traditional agile planning. You'll rethink how intent becomes actionable work, how that work moves through software development, and where human involvement is needed. You'll develop a point of view on planning's future and turn it into product decisions with engineering, design, and product leadership. That includes exploring how planning could connect work to business priorities and budgets, rather than assuming the answer is already decided. Alongside that strategic work, you'll share ownership of existing planning capabilities with another product manager. We're opening this role at Staff level, with flexibility to consider Principal level based on your experience and scope of impact. What you'll do Define a clear direction for planning as software development shifts toward collaboration between people and artificial intelligence agents, and help the team move from open questions to concrete priorities. Shape how users capture intent, break it into actionable work, and determine which work can proceed autonomously and which needs human involvement. Evaluate whether and how planning should connect software delivery to company priorities, business objectives, and budgets. Share ownership of planning capabilities, including work items, boards, specifications, and portfolio planning, with a fellow product manager. Help define how that scope is divided. Work with engineering and design to translate product direction into a roadmap and improvements to planning workflows across GitLab. Communicate your recommendations clearly to senior leaders, challenge assumptions constructively, and lead the team through changes in direction. What you'll bring Experience leading product strategy and execution for software development, developer tools, or planning products, with the depth to make decisions in a specialized product area. A strong understanding of software development and development and operations (DevOps) workflows, including how planning decisions affect downstream delivery. The ability to form and defend a product point of view in an uncertain, changing market, while staying open to different ideas. Clear communication with technical teams and senior executives, including experience challenging leadership decisions constructively and building support for a direction. The ability to connect a forward-looking strategy to practical product decisions and work collaboratively across product, engineering, and design. About the team The Planning team builds the capabilities at the start of GitLab's software development workflow, including work items, boards, specifications, and portfolio planning. Decisions here affect how work moves through the rest of the platform, so the team's scope extends beyond standalone project management tools. You'll work alongside another product manager and partner with engineering and design across this product area. The division of product ownership is still being shaped, and you'll help define it. The hiring manager wants you to bring a different perspective, question established approaches, and challenge senior leaders constructively, with room to influence decisions beyond your immediate product scope. GitLab's mission is to enable everyone to contribute to and co-create the software that powers our world. Our platform brings software development, security, and operations together. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $168,000 — $285,600 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Espoo Workplace: Hybrid ROLE HIGHLIGHTS: - Staff Engineer - Satellite Communications - Location: Espoo, Finland - Department: Fleet Control and Satellite Communications - Reports to: Director, Fleet Control and Satellite Communications - Employment type: Permanent - Workplace model: Hybrid. 3 days a week at the office - Employment is subject to applicable security screening (incl. SUPO, where required) WHY THIS ROLE MATTERS: As a Staff Engineer in Satellite Communications, you will own the satellite-to-ground link, the core communications protocols, and the end-to-end transmission of data from ground stations to customers. Trend is that our constellation produces an increasing volume of data and we want it down faster and more reliably. As we scale, the communications link sets the limit on what we deliver and how fast customers receive it. You'll own the end-to-end communication stack: the satellite-to-ground link (X-band, Ka-band and S-band), the underlying protocols used, and the transmission of data from ground stations to customers. Today these decisions are spread across several teams. This role brings them under one technical owner. The work sits where software meets physics. On one side are link budgets, modulation and coding, and spectrum constraints; on the other are schedulers, distributed systems and production operations. The hardest problems live where the two meet. You own what you build, from design to production, across a stack that combines cloud, on-prem and real hardware. Our engineering culture is AI-positive, with active use of copilots and LLMs to improve speed, code quality and productivity. WHO WE ARE ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth. ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system. ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future. Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific. YOUR DAY-TO-DAY RESPONSIBILITIES - Own the architecture of the satellite-to-ground link acrossX-band and Ka-band payload downlink and S-band command and control - Measure what the constellation delivers against its theoretical capacity, and lead the work that closes the gap - Design how data moves from ground station to customer, including latency tiers and delivery accounting - Build alongside software engineers, contributing code and reviews, not only architecture documents - Lead technical initiatives across team boundaries and align teams on link and data path decisions - Grow satellite communications expertise across the domain through mentoring, design reviews and shared standards WHAT WE'RE LOOKING FOR MUST HAVES: - Communications engineering on at least one flown mission, including personally diagnosing an anomaly on a live satellite. - High-rate payload downlink experience in X-band or Ka-band, beyond S-band command and control - Ability to build and defend a link budget: EIRP, G/T, Eb/N0, margin, rain fade, elevation constraints - Practical CCSDS knowledge: transfer frames, virtual channels, synchronisation and channel coding, file delivery - Experience owning how data moves from a ground station to where it is consumed, with latency and completeness guarantees - Hands-on coding in Python, Go, C++ or similar; you ship code, not just designs. NICE TO HAVES: - Active use of AI-assisted development tools (e.g., copilots, LLMs) to improve productivity, code quality, and problem-solving - Fleet-scale contact planning and scheduling across commercial ground station networks, especially leased third-party capacity - DVB-S2/S2X with adaptive coding and modulation - Delay-tolerant networking, or other store-and-forward file delivery with completeness accounting - SDR and DSP work: GNU Radio, FPGA or RFSoC, including personal or open-source projects - Awareness of spectrum regulation and coordination. We have a separate spectrum licensing team, so this is a plus rather than a requirement APPLICATION PROCESS - TA Partner Screen Call (30 min) - Hiring Manager Interview (90 min) - Technical Interview (120 min) - Values and Fit Interview (60 min) - Final interview with SVP of Engineering (60min) WORKING AT ICEYE At ICEYE, you'll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. HOW WE WORK (OUR VALUES) - Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions. - See the big picture: Stay close to what's happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters, and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. BENEFITS Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Attraction will confirm what applies for this role and location during the process. OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We're committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us, and we'll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

Location: Remote (Canada) Workplace: Remote BUILD SOMETHING PEOPLE LOVE Wealthsimple is Canada’s leading financial innovator. The company offers a full suite of simple, sophisticated financial products across managed investing, do-it-yourself trading, cryptocurrency, tax filing, spending and saving. Wealthsimple currently serves more than 4 million Canadians and holds over $155 billion in assets under administration. The company was founded in 2014 by a team of financial experts and technology entrepreneurs, and is headquartered in Toronto, Canada. We're proud of what we've built — and we're just getting started. Read our Culture Manual https://www.wealthsimple.com/en-ca/culture and learn more about how we work https://www.wealthsimple.com/en-ca/careers. About the team The Fraud Countermeasures team is part of Data Science, and it's how Wealthsimple grows safely. We balance fraud losses with client friction, so legitimate clients can use their money without jumping through hoops. We work in small pods that pair a fraud countermeasures lead with a data scientist and an analytics developer, and we sit alongside Product and Engineering on every new feature launch. We use data to make every decision, and we use AI tools to move faster. If you want to work on hard problems with people who care about craft, you'll fit right in. About the role Card fraud is one of the highest-stakes problems at Wealthsimple, and this role owns the strategy for it. You'll set direction for how we prevent application, transaction and account takeover fraud across our card products, and you'll do it independently, with real accountability for the outcome. This is a Staff individual contributor role with manager-level impact: you'll lead through expertise and influence, not direct reports. It's open to candidates in any timezone in Canada. What you'll do - Own fraud strategy and execution across application, transaction and account takeover fraud for Wealthsimple's card products. - Manage the card fraud loss budget as our volumes grow, and guard against the fraud attacks that can blow a budget up. - Design, backtest, ship and tune detection rules, and set decision thresholds on ML risk scores. - Weigh fraud losses prevented against operational cost and client experience before you recommend an approach. - Partner with Product and Engineering to build controls that stop fraud without blocking legitimate clients, like step-up authentication instead of a hard decline. - Guide the data scientists and analytics developers in your pod, and mentor junior teammates on strategy, rule building and problem-solving. Skills you bring - 6+ years of experience in fraud prevention, including 3+ years working directly on card fraud (prepaid or credit) at an issuer, fintech or payments platform. - Hands-on ownership of card fraud strategy across application, transaction and account takeover fraud. - Advanced SQL. You write complex queries against transaction-level data yourself, without waiting for an analyst to pull it. - A track record of building, backtesting, shipping and tuning fraud rules, and explaining the precision, catch rate and approval rate impact of each. - Experience quantifying fraud savings against operational and client experience costs to make a clear recommendation. - Experience using AI tools in your daily work, and examples of where they changed your output. - The ability to influence Product, Engineering, credit risk, operations and external vendors toward a decision without direct authority. - Clear communication with technical and non-technical audiences, including senior leadership. - Nice to have: Knowledge of Visa and Mastercard network rules, dispute processes and chargeback rails. Who you are - You set direction on your own and take ownership over outcomes for your space, from fighting fraud attacks to minimizing client friction. - You make decisions with numbers behind them, and you're honest about what the numbers can't tell you. - You lead through influence. You can get a roadmap conversation to go your way by rallying others around shared objectives. - You use AI to aide in your workflow, and know when to question it’s outputs - You share what you know, and you make the people around you sharper WHY WEALTHSIMPLE? 🌸 Top-tier health benefits and life insurance 📈 Long-term group savings with employer match, through Wealthsimple for Business 🌴 20 vacation days, 4 wellness days, and unlimited sick and mental health days per year* ✈️ 90 days away: work outside Canada for up to 90 days per year* 👥 Employee resource groups, including Rainbow (2SLGBTQ), Women of WS, and Black at WS 🌎 We are a hybrid team with over 1,500 employees across North America. The people are one of the best parts of working here: you'll collaborate with incredibly talented, curious, and driven teammates who are deeply committed to doing great work. *Unlimited paid sick days, Wellness Days and the 90 day away program do not apply to certain roles. ICYMI Technology & Innovation at Wealthsimple: We move quickly and build thoughtfully. That means we're always looking for better ways to work — whether that's new tools, AI, or rethinking how we approach a problem. We don't expect you to have all the answers, but we do expect curiosity and a willingness to evolve alongside the products we're building. Inclusion Statement: We're building products for a diverse world, and we need a diverse team to do it well. We strongly encourage applications from everyone, regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status. Accessibility Statement: We're committed to an accessible hiring experience. If you need any accommodations throughout the interview process, please let us know — we'll work with you to make sure you have what you need. We also welcome any feedback on how we can better accommodate candidates with accessibility needs. AI in Hiring: We may use artificial intelligence (AI) tools to support parts of our hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our team but don't replace human judgment – all final hiring decisions are made by people. If you have questions about how your data is used, reach out to us.

Location: London, United Kingdom - Deliveroo Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Product team defines how millions of people experience Deliveroo, turning complex marketplace challenges into simple, high-impact solutions. Working at the intersection of data, design and engineering, we set direction, prioritise what matters most, and deliver outcomes that move the business forward. We're looking for a Staff Conversation Designer to join in London and set the design direction for AI-powered support across Deliveroo, DoorDash and Wolt. You'll bring a strong AI fluency, technical practice, and editorial point of view to build and shape conversations powered by our LLM models: deciding what a conversation needs to say, what to leave out and how to make each exchange clear, useful, and worthy of people's trust. You'll shape the personality, voice, tone and experience principles that express our brands, local language and support philosophy. You will craft conversation specs, prompts, and evals, annotate data, and co-build the tools and harness that drives our experience. Success means fewer avoidable problems, better resolutions when help is needed, and stronger design practices that help teams deliver those outcomes consistently. What You’ll Be Doing Set support conversation strategy across support journeys, connecting what people need in the moment, what the business can promise, and what operations can actually do. Influence roadmaps with Product, Engineering and Operations, deciding where to invest, what to sequence first and how to balance quality, speed and impact. Design and maintain conversation flows . Lead proactive guidance, chat and voice experiences from definition through launch, anticipating needs to prevent or resolve problems before people ask for help. Create and maintain multi-turn conversation specs covering context, interruptions, changing intent, clarification, error recovery, fallback paths and human handoffs without repetition. Prototype new conversational experiences . Invent and test new conversational patterns, interaction paradigms, personas, and support experiences. Use LLMs and code to explore how people could ask for help, act on options and move between chat, voice and other interfaces. Work with Engineering to shape the information, actions, and human judgement these experiences need, using working prototypes and user feedback to decide what to pursue. Shape voice, tone and behaviour . Set the editorial direction for support conversations across brands, markets and modalities. Write and iterate on system prompts and persona definitions that express this direction through model behaviour. Make deliberate choices about wording, pacing and tone, adapting to local voices, policies and access needs while keeping conversations useful and promises accurate. Build evaluation datasets and testing plans . Establish how teams evaluate conversation quality before and after launch. Create evaluation datasets, testing plans and scoring rubrics to test conversation flows and model behaviour. Define annotation guidelines and annotate conversations for evaluation and model training, calibrating judgments so teams assess quality consistently. Combine these evaluations with research, performance data and reviews of hundreds of transcripts to improve accuracy, resolution quality and customer effort, and influence what the team prioritises. Design conversational safeguards . Identify conversational risks and define, implement and test guardrails. Address hallucinations, harmful or biased responses, and requests outside the service’s scope. Define how conversations protect sensitive information, stay within the system’s authority to act, and acknowledge uncertainty or seek human judgement. Raise conversation design capability . Help the wider Studio develop technical fluency and conversational judgement through mentorship, education and shared tools. Build reusable prompt guidance, evaluation tools and working practices with design and cross-functional peers, and lead their adoption across teams to improve conversation quality and inform product priorities. What You’ll Need to Thrive Work samples . Work samples showing strong editorial and conversational judgement, whether through conversational systems, content programmes or shipped products. Show your personal contribution, the direction you set, alternatives you explored and evidence of improved outcomes. We welcome different formats that make your thinking, execution and influence clear. Strategic leadership . Experience setting direction across teams and influencing product priorities, with examples of resolving ambiguity and making trade-offs between user needs, commercial goals and technical constraints. Editorial judgement . A strong editorial point of view, backed by excellent writing and editing. You can explain why a conversation needs a particular message, sequence or tone, cut what gets in the way and give others specific feedback that improves the work. Your background may be in editorial, content design, linguistics, product design or another discipline; what matters is how you apply that judgement to interactive experiences. Hands-on AI practice . Practical fluency with LLMs and code, demonstrated through working AI prototypes and direct investigation of model behaviour. You can distinguish conversational problems from limitations in data, tools or the wider system. Service design judgement . The ability to connect individual conversations to the wider service, including user intent, context, available actions and agent workflows. Your decisions account for accessibility, localisation, privacy and situations that need human intervention. Evaluation and training experience . Experience developing conversation evaluations and annotating model-training data, with evidence of how qualitative and quantitative findings improved model behaviour and informed product decisions. Impact beyond your own work . A track record of improving other teams’ design quality through mentorship, critique and shared tools or practices they’ve adopted. Why Join Us? At Deliveroo, you’ll do work that matters, solving real-world problems in a three-sided marketplace that’s constantly evolving. We’re food lovers, problem solvers, community builders and more, brought together by a shared drive to make things better. Working here you can expect to: 🔧 Solve meaningful problems at real scale Work on a complex, always-on marketplace that impacts millions every day. 🌱 See your impact, fast Ship, test and improve ideas quickly in a low-hierarchy, high-ownership environment. 🧠 Grow through challenge and ownership Take on big, ambiguous problems and accelerate your career with strong support. 🌎 A culture built for builders High standards, collaboration, flexible working and continuous learning. ​​💰 Share in the success you help create Competitive salary and equity options, so you’re rewarded for the impact you make. ➡️ Want a deeper look at how we build? Check out our Tech Blog . Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .