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Location: Al Jubail, Saudi Arabia We are seeking an experienced Maintenance Mechanical Engineer to support maintenance activities within an industrial/petrochemical environment. Position Overview The Maintenance Mechanical Engineer will provide technical expertise in troubleshooting equipment failures, repairs, maintenance activities, and equipment reliability , while supporting maintenance teams, work packages, and plant operations. Key Responsibilities Act as a technical expert for equipment failures, repairs, and troubleshooting . Provide engineering support for plant issues affecting production. Evaluate defective equipment and recommend appropriate repair and corrective actions . Review repair requirements, including clearances, tolerances, materials of construction, welding procedures , and related technical requirements. Develop and maintain appropriate repair techniques and equipment-specific maintenance procedures . Support the review and identification of spare parts required for existing equipment. Contribute to maintenance strategies and maintenance operating discipline . Provide engineering input to projects, particularly regarding equipment maintainability . Support the development of maintenance budgets and maintenance plans. Provide engineering input to work packages and work orders , particularly for critical equipment. Support maintenance teams in troubleshooting and resolving equipment-related issues. Ensure maintenance activities comply with applicable EH&S, quality, and safety requirements . Work closely with maintenance, operations, engineering, and other relevant teams to maintain reliable plant operation. Requirements Bachelor's degree in Mechanical, Instrument, or Electrical Engineering . Strong experience in mechanical maintenance and troubleshooting within an industrial environment. Proven experience dealing with equipment failures, repairs, and corrective actions . Experience with maintenance planning, strategies, work orders, and work packages . Knowledge of equipment repair requirements, tolerances, clearances, materials, and maintenance procedures . Experience supporting critical equipment maintenance and reliability . Ability to provide technical guidance and engineering support to maintenance teams. Strong analytical, troubleshooting, communication, and problem-solving skills. Experience in Oil & Gas, Petrochemical, Refinery, or other process industries is preferred. The ideal candidate should be a hands-on mechanical maintenance professional with strong troubleshooting capability and experience supporting plant maintenance, rather than someone focused purely on design or project engineering.

Location: San Francisco, CA; New York, NY Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. As a Software Engineer Intern, Agent, you'll work directly on production AI agents for Sierra's customers. You'll gain hands-on experience contributing to the design and development of AI agents, shipping features, and learning from real-world use cases at scale. If you're hungry to shape and learn from the most important technological wave in history, come build at Sierra.   WHAT YOU'LL BRING - Pursuing a bachelor's or master's degree in computer science or a related field - Strong technical problem-solving skills, especially in fast-changing, ambiguous environments - A builder and tinkerer’s mindset with high agency - you find creative ways to overcome obstacles and ship - Excellent communication skills - clear, direct, and persuasive across technical and non-technical audiences EVEN BETTER - Experience building or deploying AI/LLM systems in production - Familiarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering - Prior experience with React, TypeScript, and/or Go INTERN QUALIFICATIONS - The intern program is open to students graduating December 2027 - June 2028 - Note: The full benefits listed below are available only to full-time employees. Interns are eligible for a monthly stipend for health insurance, daily lunch, and, of course, free alphorn lessons. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized  - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

Location: Helsinki, Finland 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. What you’ll do: Build and maintain high-throughput backend services using Go . Collaborate with product managers, designers, and frontend developers to ship features that support internal support agents across the globe. Design systems that are scalable , resilient , and easy to maintain. Lead and contribute to architectural discussions and technical decision-making. Write well-tested code and help the team maintain high code quality standards. Our humble expectations: 7+ years of professional software engineering experience, with a proven track record of building and scaling complex systems. 2+ years of production experience in Golang , with the ability to mentor others and drive best practices across the team. Strong hands-on experience with both SQL and NoSQL databases — especially Cassandra. Solid understanding of designing and operating low-latency, high-throughput distributed systems . Nice to have Background in Node.js or other backend languages. Familiarity with cloud infrastructure (AWS, GCP) and event-driven architectures. Previous on-call experience , with a pragmatic approach to reliability and incident management. What we value A product-oriented mindset — you think beyond the ticket, understand the “why” behind the work, and aim to create real impact for users, having a high level of resposability. Experience leading projects or making key technical decisions , especially in fast-paced environments. Clear and proactive communication skills, with a collaborative spirit — we move fast, but we succeed together. Next steps: These positions will be filled as soon as we find the right persons, so make sure to apply as soon as you realize you really, really want to join us! Are you curious about our hiring process? Check out our careers page for more info. 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: New York, NY Workplace: Hybrid ABOUT THE COMPANY Rain is the global stablecoin payments platform for enterprises, neobanks, platforms, developers, and AI agents. Our technology allows partners to move, store, and use stablecoins instantly and compliantly through global payment cards, rewards, on/offramps, wallets, and cross-border rails. As both a Visa and Mastercard Principal Member, Rain issues cards that work at more than 175 million merchant locations in over 220 countries and territories. Built natively for stablecoins and trusted by more than 100 organizations worldwide, Rain delivers secure, scalable infrastructure that makes money move freely and instantly around the world. You will have the opportunity to deliver massive impact at a hypergrowth company backed by some of the top investors in fintech, crypto, and SaaS. In January 2026, we closed a $250M Series C led by ICONIQ, valuing Rain at $1.95B, with Sapphire Ventures, Dragonfly, Bessemer Venture Partners, Galaxy Ventures, FirstMark, Lightspeed, Norwest, and Endeavor Catalyst also participating. If you're curious, bold, and excited to help shape a borderless financial future, we'd love to talk.   OUR ETHOS We believe in an open and flat structure. You will be able to grow into the role that most aligns with your goals. Our team members at all levels have the freedom to explore ideas and impact the roadmap and vision of our company. ABOUT THE TEAM We are hiring a VP of Engineering to own the craft, quality, and technical direction of our roughly 50-person engineering organization as we enter our next stage of growth. We expect to approximately double the size of the team, and we’re looking for a leader who has successfully scaled a high-performing engineering organization while maintaining an exceptionally high technical bar. This isn’t a role focused on adding headcount for the sake of growth. We want someone who can thoughtfully scale the team, strengthen the systems that move real money, and make our engineers significantly more effective as the organization grows. This leader should be deeply technical and genuinely engaged in the code, architecture, and engineering decisions—not operating adjacent to them. You will lead through a mix of direct reports and a small group of engineering managers and tech leads, partnering closely with Product, Risk, and Compliance. You will spend your time on design reviews, incident retros, hiring, and the handful of technical bets that determine whether we can support the next order of magnitude of transaction volume. If your ideal week is entirely calendar blocks and roadmap decks, this is not the right role. If your ideal week includes a hard design debate, a code review that changes someone's mind, and a coaching conversation that raises a manager's ceiling, keep reading. WHAT YOU’LL DO - Own engineering strategy and architecture across card issuing, wallets, ledger, money movement, onchain settlement, and integrations with card networks and banking partners — including the multi-year technical roadmap that gets us there. - Set and own Rain's engineering quality bar across system design, code review, testing, observability, documentation, and technical decision-making, ensuring correctness is treated as critical for systems that move customer funds. - Go deep where the risk is. You won't own day-to-day code, but you will review critical designs, weigh in on the highest-consequence architecture and build-vs.-buy decisions, and be technical enough that no one can hand you a bad design and have it pass. - Drive reliability, scalability, and operational excellence by establishing SLOs, improving incident response, capacity planning for 10x growth, and designing resilient systems with graceful degradation, idempotency, and replay capabilities. - Build security, compliance, and correctness into the platform by design, partnering closely with Risk, Compliance, and Security to meet PCI, SOC 2, fraud-control, regulatory, and blockchain infrastructure requirements. - Increase engineering velocity without sacrificing quality through improvements to CI/CD, developer tooling, local environments, technical debt management, and architecture that enables teams to ship safely and independently. - Build and develop a high-performing engineering organization by hiring and coaching engineering managers and technical leads, establishing clear team ownership and boundaries, and owning headcount planning and the performance bar. - Operate as a member of the leadership team — translating company strategy into technical plans, partnering across Product, Design, Risk, Compliance, and GTM, and representing engineering to the board, banking and network partners, and customers. YOU ARE LIKELY TO SUCCEED IF YOU HAVE: - 15+ years building production software, including 8+ years leading engineers and meaningful time leading managers. - Current technical credibility. You have written or reviewed meaningful production code recently enough that an architecture review is a place you add value, not a place you nod along. - Deep experience with distributed backend systems at scale: data modeling, consistency and idempotency, queues and event-driven design, and the operational reality of running all of it. - A track record of raising an engineering bar. You can point to specific practices you introduced and the measurable change in quality, velocity, or reliability that followed. - Real reliability ownership — you have carried a pager, run incident command during a serious outage, and built the follow-through that kept it from recurring. - Experience in payments, fintech, banking infrastructure, or another domain where money, ledgers, or regulatory obligations made correctness non-negotiable. - You have hired and developed engineering managers, not only engineers. There are leaders you grew who would come work for you again. - Clear written communication. You can make a complex technical tradeoff legible to a CEO, a compliance officer, and a partner's engineering team in the same week. - Executive range. You are as comfortable in a board or partner conversation as you are in a design review, and you can hold a technical position under commercial pressure. - Comfort with ambiguity and speed. You would rather ship something correct this quarter than design something perfect for next year. BONUS ATTRIBUTES: - Hands-on experience with card issuing, processing, or the Visa and Mastercard network stack. - Working knowledge of stablecoins, onchain settlement, custody and key management, or EVM and Solana infrastructure. - Experience operating under SOC 2, PCI DSS, or bank and program-manager oversight. - Experience leading distributed or multi-region teams. THINGS THAT ENABLE A FULFILLING, HEALTHY AND HAPPY EXPERIENCE AT RAIN: Unlimited time off 🌴 Unlimited vacation can be daunting, so we require Rainmakers to take 10 days minimum for themselves. Flexible working ☕ We support a flexible workplace – work from home, come into an office, or both. We want everyone to work in an environment where they're their most confident and productive selves. New Rainmakers receive a stipend to set up a comfortable home workspace. Easy to access benefits 🧠 For US Rainmakers, we cover 95% of your health, dental, and vision plan costs and 90% for your dependents, plus a 100% company-subsidized life insurance plan. Retirement goals💡 Plan for the future with confidence. We offer a 401(k) with a 4% company match. Equity plan 📦 Every Rainmaker gets an equity option plan so we all benefit from our success. Health and Wellness 📚 High performance begins from within. Rainmakers receive a monthly stipend to be used for eligible health and wellness spending like gym memberships/fitness classes, massages, acupuncture - whatever recharges you! In-office meals 🍜 Rainmakers working from the office enjoy lunch and dinner on us, covered with a DoorDash credit. Team summits ✨ Summits play an important role at Rain. Time together helps us build relationships and a common destiny. Expect team and company offsites, both domestic and international.

Location: San Francisco Office PlanetScale is growing rapidly and reinventing the database space. The PlanetScale platform offers both PostgreSQL and Vitess clusters. Vitess is an open-source database clustering system for horizontal scaling of MySQL that enables businesses to efficiently handle large-scale data workloads — without sacrificing developer experience. We're bringing the same scaling power to PostgreSQL with Neki, our sharded PostgreSQL product. We're hiring a software engineer to build the internal tools that run PlanetScale. You'll automate the manual work that slows a growing company down: incident response, on-call, support workflows, onboarding, and the dozens of other small things that take up our time. Location This role is in-office only at our San Francisco headquarters. You must already live in the SF Bay Area and be able to work from the office most days. This is not a remote role. We do not offer relocation. We do not sponsor visas. If you need to relocate, work remotely, or need visa sponsorship, please do not apply. What You'll Do Build AI-enabled tools and agents that automate manual work across engineering, support, and operations Write bots and integrations for Slack, PagerDuty, and the other systems we run the business on Build internal dashboards that give the team visibility into what's actually happening Integrate LLM APIs and AI coding tools directly into the internal systems you build Ship small, useful things fast. Iterate based on what people need Work directly with senior engineers and leadership to find friction and fix it Own your projects end to end: design, build, ship, support For example, you might: Automate our incident response process Build automations for customer support Build internal dashboards that measure our service quality What We're Looking For Required: 0-2 years of professional software engineering experience, or equivalent project or internship work Solid fundamentals in at least one of TypeScript, Ruby, or Go Comfortable building with AI coding tools and LLM APIs. This role is AI-enabled work, not just AI-assisted Comfort writing scripts, small services, or automations that solve a real problem Clear written communication Already based in the San Francisco Bay Area. We do not relocate for this role. In-office at our San Francisco headquarters most days. This is not remote. Authorized to work in the US without sponsorship. We cannot sponsor visas. Nice to Have: Experience with Slack's API, GitHub Actions, or similar automation platforms Exposure to Terraform or Kubernetes A side project, bot, or tool you built to automate something in your own life About You You fix the annoying thing to save time. You'd rather ship something small this week than plan something big for next quarter. You ask good questions, take feedback well, and want to learn from engineers more senior than you. You want to be in the room with your team, not on a call. You're excited about AI tools not just to write code faster, but to design and ship whole systems. Why PlanetScale We're redefining how high-growth companies manage data at scale—and we work with some of the most exciting brands in gaming, consumer tech, and B2B SaaS. As a Software Engineer, you'll be at the core of building the platform that powers world-class apps used by hundreds of millions of users worldwide. PlanetScale is a profitable company with a philosophy centered around building small teams of p99 individuals and is recognized as one of the fastest growing companies in America. At PlanetScale we believe in supporting people to do their best work. Our mission is to build a diverse, equitable, and inclusive company. We strive to build an inclusive environment where all people feel that they are equally respected and valued, whether they are a candidate or an employee. We welcome applicants of any educational background, gender identity and expression, sexual orientation, religion, ethnicity, age, citizenship, socioeconomic status, disability, pregnancy status, and veteran status. If you have a disability, please let us know if there's any way we can make the interview process better for you; we're happy to accommodate! Total Compensation and Pay Transparency An employee's total compensation consists of base salary + variable comp where appropriate + benefits + equity. A member of our Talent Acquisition team will be happy to answer any further questions when we engage with you to begin the interview process. Base salary range: $120,000 - $160,000 USD

Location: USA (Remote) Workplace: Remote Tempo is a layer-1 blockchain purpose-built for stablecoins and real-world payments, born from Stripe’s experience in global payments and Paradigm’s expertise in crypto tech.   Tempo’s payment-first design provides a scalable, low-cost predictable backbone that meets the needs of high-volume payment use cases. Our goal is to move money reliably, cheaply, and at scale. Our north star is simplicity for users: fintechs, traditional banks, merchants, platforms, and anyone else looking to move their payments into the 21st century.   We're building Tempo with design partners who are global leaders in AI, e-commerce, and financial services: Anthropic, Coupang, Deutsche Bank, DoorDash, Mercury, Nubank, OpenAI, Revolut, Shopify, Standard Chartered, Visa, and more.   We’re a team of crypto-optimists, building the infrastructure needed to bring real, substantial economic flows onchain. We like to move fast and swing for the fences — join us! THE ROLE You'll be Tempo's first dedicated product security engineer, standing up application and infrastructure security from the ground floor. You'll build real tooling, respond to real incidents, and work directly with engineering to secure systems that help onboard the largest enterprises onchain. RESPONSIBILITIES - Build and deploy security tooling across endpoint management, supply-chain security, infrastructure, and application layers - Identify and remediate security gaps across Tempo's production systems and development pipelines - Lead incident response end-to-end: triage, containment, remediation, and post-mortems - Partner with engineering on secure design reviews and operational security decisions - Establish repeatable, practical security practices for how systems are built, deployed, monitored, and secured - Improve supply-chain security across dependencies, build systems, and deployment artifacts - Scale application-security coverage as Tempo's infrastructure and product surface grow - Operate with autonomy, build what's needed without waiting for large-company support structures QUALIFICATIONS - 5–8 years of hands-on product or application security engineering experience - Track record building security practices at a company in the 100–500 person range, or similar environments with limited existing security infrastructure - Hands-on coding ability: you build security tooling, automation, and detection, not just recommendations - Deep incident-response experience including high-severity situations owned end-to-end - Strong infrastructure security knowledge: hosting environments, network security, monitoring, and securing system integrations - Application security fundamentals: threat modeling, secure code review, vulnerability management, supply-chain security - Comfortable communicating technical security decisions to engineers with real depth and specificity

Location: San Francisco, CA; New York, NY Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. WHAT YOU’LL DO - Design and deliver production-grade AI agents https://sierra.ai/blog/meet-the-ai-agent-engineer: You'll build and ship highly performant, reliable, and intuitive AI agents that are central, mission-critical and drive revenue directly to Sierra's growth. These aren't prototypes—they are powerful, scalable systems running in production environments across industries like finance, healthcare, and commerce. - Drive the Agent Development Life Cycle https://sierra.ai/blog/agent-development-life-cycle (ADLC): You'll have complete ownership and autonomy from initial pilot through deployment and continuous iteration. You'll be responsible for building, tuning, and evolving AI agents in production environments, defining the standard for ADLC best practices along the way. - Partner with large enterprises and cutting-edge startups: You’ll work directly with leaders at some of the world’s largest enterprises to understand their most pressing business challenges, and build AI agents that transform how they operate at scale. You'll also partner with the most cutting-edge startups in Silicon Valley, embedding AI agents across their entire business stack to drive innovation and efficiency. - Build the future of the platform: Your direct work with customers will guide the evolution of Sierra's core platform. You'll surface unmet needs, prototype new tools and features, and collaborate with research, product, and platform to shape the future of AI agent development and Sierra's product. EXAMPLE PROJECTS These are some examples of projects that engineers on our team have worked on recently: - Design and build AI agents for large telecommunications and media companies that consistently outperform human agents in managing subscription churn - Develop and refine AI agents capable of navigating complex customer interactions, like troubleshooting a broken device and personalizing product recommendations - Create generalizable AI agent frameworks tailored for industry-specific use cases. See some examples in our financial services blog https://sierra.ai/blog/five-ways-to-use-ai-agents-financial-services! - Facilitate design partnerships for new product initiatives, such as new agent architectures, self-service capabilities, and generative agent development - Experiment with the latest voice models and figure out how to integrate them at scale to enterprise-grade customers WHAT YOU'LL BRING - Experience building and scaling end-to-end production systems - Strong technical problem-solving skills, especially in fast-changing, ambiguous environments - A builder and tinkerer’s mindset with high agency - you find creative ways to overcome obstacles and ship - Comfort working directly with customers to understand their needs and solve real-world problems - Excellent communication skills - clear, direct, and persuasive across technical and non-technical audiences EVEN BETTER... - Experience building or deploying AI/LLM systems in production - Have been a founder or founding engineer - you know what it means to balance craft, ownership, and speed - Familiarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering - Prior experience with React, TypeScript, and/or Go - Previous roles where you interfaced with customers or led technical projects with external stakeholders OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized  - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

Location: Europe Workplace: Remote ABOUT ENEBA   At Eneba, we’re building the technology and products shaping the future of gaming. Our core is a global digital gaming marketplace used by 20M+ customers, with 100,000+ digital items and a platform built to operate at massive scale. Behind it is a complex technology ecosystem spanning 100+ microservices, distributed systems, internal platforms, and tooling that helps our teams build and ship faster. And we’re not stopping at the marketplace. We’re building new products like Snakzy, AI game coaches, and more, exploring new ways for players to discover, buy, and experience games. We’re proud of how far we’ve come in such a short time - and there’s a lot more to build. Join us as we scale and build the next generation of products for the gaming community.   ABOUT YOUR TEAM    You’ll join a cross-functional team of 5–10 people spanning design, backend, frontend, mobile, and data, supported by a dedicated platform engineering team. We move fast, experiment often, and build for a growing community of active users. As an engineer, you’ll do more than ship features - you’ll help shape how the team works and the technology we build. With strong infrastructure, a modern codebase, and hundreds of microservices, you’ll tackle real challenges in scale, performance, reliability, trust, and safety while having the ownership to make a real technical impact.   ABOUT THE TECH   CODE - PHP 8.5+ - Symfony 6, 7 and 8 - Golang - GraphQL - Temporal - Saga orchestration - Microservices architecture - 100+ services - Custom PHPStan rules DATABASES & METRICS STORES - MongoDB, Postgres, MySQL, Redis, Prometheus, InfluxDB, ElasticSearch INFRASTRUCTURE - Kubernetes, Helm, AWS, Terraform with custom-made abstractions ABOUT YOU - You have 8+ years of backend engineering experience, with hands-on experience building and scaling distributed systems and strong expertise in PHP and Symfony. - You are a quick problem solver who takes ownership - You are genuinely open to feedback - You are familiar with common patterns like CQRS, circuit breaking, and service orchestration - You can effectively contribute to architectural discussions. - You are product-minded and always thinking about the end-user impact - You are genuinely excited to work in a supportive, collaborative environment where we learn, experiment, and continuously improve.   WHAT IT’S LIKE TO WORK AT ENEBA   *Opportunity to join our Employee Stock Options program. *Opportunity to help scale a unique product.  *Various bonus systems: performance-based, referral, additional paid leave, personal learning budget. *Paid volunteering opportunities. *Work location of your choice: office, remote, opportunity to work and travel. *Personal and professional growth at an exponential rate supported by well-defined feedback and promotion processes.    *Please attach CV's in English. *To find out about how we handle your personal data, make sure to check out our Candidate Privacy Notice https://www.eneba.com/candidate-privacy-notice

Location: New York; New Jersey Workplace: hybrid About the Role: The hiring problem you'd be solving We build AI systems that enterprises run their business on. Production systems inside banks, insurers, and health systems, where our engineers embed with the client, learn the work, and own the outcome. We call them Forward Deployed Engineers and Forward Deployed Executives. These people hold design conversations with a Chief Data Officer on Tuesday and ship to production next Monday. We are hiring a Recruiter to help us scale our FDE/FDX, Product, and GTM teams. Beyond filling roles, you will help build the community around Provectus. You'd own our US talent community strategy. Five open reqs at a time, none of them generic. We would rather you run five properly than twenty badly. Location: Hybrid, New York: 2-3 days onsite Type: Full-time (W2) or contract What You'll Do: Full-cycle hiring across the US for Forward Deployed Engineers (software, AI/ML, architects, leads), Forward Deployed Executives, Product Owners, and Business Development Managers. Intake to offer. Direct sourcing as the primary channel. LinkedIn, GitHub, community channels, referrals. Passive candidates doing the most consequential AI work, not the ones already looking. You'll build and keep the talent maps for these profiles in financial services, insurance, healthcare, and life sciences. Partnership with the hiring managers. You'll run calibration with them and bring market data when a scorecard doesn't match what exists. Architect and execute Provectus's talent community strategy in the US. Meetups, workshops, hackathons, university programs, and the AI/ML communities our candidates actually spend time in, so the engineers we want know who we are before we reach out. You don't need to have run events before. You need to want to help with that, and there's a budget and support from marketing when you do. The US hiring picture. Talent market intelligence, compensation benchmarking, and how we position Provectus against the companies competing for the same engineers. What you'll bring: 2+ years of full-cycle recruiting, ideally somewhere technical, fast-moving, or consulting-shaped Proven track record hiring senior technical profiles — AI/ML engineers, software engineers, architects, or consulting leaders Direct sourcing as a real skill. You can build a market map from scratch and write outreach a senior engineer actually answers. You already use AI in your own workflow. Come ready to show us what and how. This is one place where being early in your career is often an advantage. Excellent communication and stakeholder management skills Highly organized and comfortable with ambiguity in a distributed, global team Based in the New York / New Jersey area and able to be onsite [2-3] days a week Nice to have: experience at a consultancy or embedded delivery model, GTM or sales hiring, prior event or community building. Where this goes: This is a growing US function. The person who does this well takes on more of the community mandate, more senior searches, and a path toward owning the US talent function. We'll talk about that trajectory. What We Offer: Direct impact on Provectus's growth in the US market with direct visibility to leadership. Access to the Provectus Learning Hub, Claude Code certification support, and access to Anthropic's frontier models as part of our Strategic Partnership Collaborative culture that rewards ownership, curiosity, and continuous learning B2B contract model or Full-time W2 model. Base $120-150k. Final offer reflects experience, skills, and market data. Health, vision, and dental insurance; 401(k) matching; unlimited vacation; 401(K) matching plan (in case W2). About Provectus: Provectus is an AWS Premier Partner and an Anthropic Strategic Partner working at the front edge of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable outcomes through bespoke applications, managed services, and advisory work. We focus on Financial Services & Insurance and Healthcare & Life Sciences, with offices across North America, LATAM, and EMEA. Hiring process: 30-minute intro call with Head of Talent Acquisition 60-minute deep dive into your experience and a conversation about one of our live reqs and how you'd approach that market 30-minute call with a Head of People Operations On-site meeting with the CEO

Location: Berlin, Germany; Helsinki, Finland; Stockholm, Sweden 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. Who We Are Global Marts builds the technology behind DoorDash's own grocery and retail operations across DashMart, Wolt Market, and Deliveroo Hop. Our systems decide what products our stores stock, how much inventory to purchase, which vendors to source from, how warehouses execute orders, and what prices customers see. We build everything from forecasting and replenishment systems to vendor management, warehouse execution, labor scheduling, space optimization, and pricing. Our in-house forecasting platform has replaced third-party solutions and now powers production globally. This isn't a traditional CRUD backend environment. Much of our work involves designing new systems that solve complex operational problems at global scale. What You'll Do As a Senior Backend Engineer, you'll work primarily with Go or Kotlin and take end-to-end ownership of production systems and complex technical initiatives. You'll: Design, build, and operate backend systems that support inventory, purchasing, warehouse operations, pricing, and fulfillment. Own technical solutions from problem definition and design through implementation, deployment, monitoring, and production operation. Work on data-heavy systems where software engineering meets forecasting, optimization, and operational decision-making. Turn complex and sometimes ambiguous business problems into pragmatic, scalable technical solutions. Make and influence architectural decisions, balancing scalability, reliability, development speed, and long-term maintainability. Collaborate closely with engineers, product managers, data scientists, and operations teams to shape solutions and technical direction. Improve the reliability, observability, scalability, and operational excellence of the systems you own. Support and raise the engineering standards of the team through technical discussions, code reviews, and knowledge sharing. Use AI-assisted development tools effectively while applying strong engineering judgment to validate their output, improve development velocity, and identify opportunities where AI can create additional leverage. How We Work Autonomy & Ownership: Engineers have end-to-end responsibility for their services, from design and implementation to production and on-call. Collaboration: Architecture and technical direction are shaped together. Senior engineers are expected to contribute actively to decisions and help others arrive at strong solutions. Scalability & Simplicity: We value pragmatic solutions that solve today's problems while providing a sustainable foundation for tomorrow. Impact: We work closely with Product, Data Science, and Operations, connecting technical decisions directly to real-world retail and operational outcomes. Our Tech Stack Our primary backend languages are Go and Kotlin. We also use Kafka, PostgreSQL, MongoDB, Redis, Snowflake, AWS, Kubernetes, Docker, gRPC, GitHub Actions, and modern cloud infrastructure. You don't need experience with every technology in our stack. We're more interested in strong backend and distributed systems fundamentals and your ability to learn and make sound technical decisions. Our Humble Expectations We're looking for engineers who: Have strong experience designing, building, and operating production backend systems. Have professional experience with Go, Kotlin, or another modern backend language. Have experience owning services end-to-end, including design, implementation, deployment, monitoring, reliability, and production operations. Have strong knowledge of backend and distributed systems fundamentals, including APIs, databases, asynchronous processing, failure handling, testing, and observability. Are comfortable working with data-heavy systems and technologies such as Kafka, Snowflake, or similar streaming and data infrastructure. Can navigate ambiguous problems, break them into actionable steps, make appropriate technical trade-offs, and deliver incrementally. Can influence technical decisions beyond their immediate tasks and collaborate effectively with engineers and cross-functional partners. Communicate technical concepts and decisions clearly and concisely. Use AI-assisted development tools effectively in their everyday engineering workflow while critically evaluating generated solutions and taking full ownership of the resulting code and technical decisions. Look for opportunities to use AI to improve engineering productivity and solve problems more effectively, while understanding where human engineering judgment remains essential. Nice to Have Experience in one or more of the following is a plus: Forecasting, optimization, scheduling, recommendation, or decisioning systems. Grocery, retail, logistics, supply chain, or warehouse technology. ERP, vendor management, procurement, or workforce management integrations. Replacing third-party or legacy platforms with internally built systems. High-throughput event-driven or streaming architectures. Why Join Us? You'll help build the technology that powers DoorDash's global grocery and retail business, solving complex operational challenges across inventory, forecasting, fulfillment, pricing, and supply chain. You'll have significant ownership over the systems you build and the opportunity to influence technical direction while working closely with experienced engineers, product managers, data scientists, and operations teams across multiple markets. 📍 This role is based in our tech hub in Helsinki or Stockholm. We work in distributed teams, but may not be able to support fully remote work or relocation. Next Steps We're reviewing applications on an ongoing basis, so don't wait to apply. We'll get back to you as soon as possible. You can read more about our recruitment process here . 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: Romania; Brazil; Peru; Sweden; Colombia; Argentina; Cyprus; South Africa; Czech Republic; Hungary; Mexico; Chile; Poland; Bulgaria Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. The Pro team is responsible for everything to do with the trading backend services such as the matching engine, market data gateways, internal and external APIs, and various other trading services. The team is located globally and responsibilities are split into sub-teams, working with various tech stacks. Our teams code in Rust and work agile around the globe.   THE OPPORTUNITY - Design and implement robust Rust services and libraries that power trading, payments, and crypto experiences with a focus on reliability, performance, and user impact. - Write reusable, testable, and highly efficient code that scales across teams and supports revenue-critical systems without compromising safety or security. - Collaborate on large-scale distributed systems architecture, translating evolving product requirements into resilient, low-latency solutions. - Work alongside hundreds of experienced Rust engineers, contributing to a high-performance, product-driven engineering culture.   WHAT YOU BRING - 7+ years of software engineering experience - Experience building financial trading focused products - Proficient in writing network services or asynchronous code in Rust - Have a security-first mindset during system design to ensure robustness - Demonstrate the ability to autonomously debug issues across the stack (OS, network, application) - Apply a solid understanding of distributed systems and technologies, including RPC protocols, Kafka, and Event-Driven Systems, to design scalable solutions - Collaborate effectively with product teams to gather requirements and constraints for designing appropriate systems - Take complete end-to-end ownership of systems and libraries - Provide mentorship to other engineers while contributing to defining the technical culture Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on Twitter https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: Dhahran, Saudi Arabia; Jeddah, Saudi Arabia; Riyadh, Saudi Arabia Eram Talent is excited to announce openings for Fresh Graduates - Engineering to join our dynamic team. We are looking for motivated and enthusiastic graduates who are eager to start their careers in engineering. This is a fantastic opportunity for new graduates to gain hands-on experience, develop their skills, and contribute to innovative projects across various engineering disciplines. You will work closely with experienced professionals, receive mentorship, and participate in real-world engineering projects that will enhance your knowledge and professional growth. If you're ready to launch your career with us, we would love to hear from you! Your application requires a copy of your degree and transcripts. Please submit them along with your job application. Requirements Bachelor's degree in Engineering from an accredited university from any of the below majors : - Mechanical Engineering - Electrical Engineering - Civil Engineering - Chemical / Process Engineering - Drilling Engineering - Petroleum Engineering - Instrumentation & Controls Engineering - Fire Protection Engineering - Environmental Engineering - Safety Engineering - Software Engineering - Industrial Engineering Strong academic performance, with a keen interest in engineering principles and practices Familiarity with engineering software and tools is a plus Excellent communication skills, both verbal and written A team player with strong analytical and problem-solving skills Ability to work in a fast-paced, collaborative environment Proficiency in English (required), Arabic is a plus Willingness to learn and adapt to new technologies and processes

Location: North America, EU, UK AI Security Researcher / Research Engineer Remote or hybrid - London preferred but North America, EU, UK accepted About Brave: Brave is on a mission to protect the human right to privacy online. We’ve built a free web browser that blocks creepy ads and trackers by default, a private search engine with a truly independent index, private AI assistant, latest privacy and security features, and a private ad network (opt-in!) that directly rewards you for your attention. Already over 120 million people regularly use Brave for a faster, more private web. Millions more switch every month. The internet is a sea of ads, hackers, and echo chambers. Big Tech makes huge profits off our data, and tells us what’s true and what’s not. Brave is fighting back. Join us! Summary We are looking for a researcher/research engineer to help mitigate the security risks that come with building AI systems-especially LLM-powered web agents and chatbots. In this role, you'll design and implement secure-by-design architectures, audit our LLM-powered web agent (https://brave.com/blog/ai-browsing/) and chatbot, and help set Brave's direction on how we identify, measure, and reduce security risk across AI products. Responsibilities Design and execute adversarial evaluations to uncover failure modes in LLM-powered web agents and chatbots (e.g., prompt injection, tool abuse, data exfiltration) Analyze model behavior (including internal thoughts) to understand and forecast security risks in frontier models Develop and prototype security-focused training and fine-tuning techniques Augment web agents with security principles including information flow control, privilege control and contextual security Partner with engineers and (privacy, ML, and Cryptographic) researchers to translate findings into product changes, tests, and measurable security improvements Help define a forward-looking security strategy and policy for building and responsibly releasing web agents—advocating for user protection You may be a good fit if you have Demonstrated experience working on Secure AI (prompt injection attacks and security guardrails) Strong publication record in AI security, ML security, or closely related areas A track record of shipping products and features inside a fast-moving environment Strong coding skills in Python and familiarity with ML frameworks like PyTorch or JAX Experience training, fine-tuning, and evaluating large language models Deep familiarity with large language models and web agents, how they work, and how they are trained Experience applying security principles (e.g., information flow control, access control/least privilege) Demonstrated success in bringing clarity and ownership to ambiguous technical problems A Ph.D. in computer science is highly preferred, but we may consider some exceptions with industry experience Skills That Will Set You Apart from the Competition Knowledge of AI Systems (pipelines, security evaluation, etc.) Open source projects on security/privacy Experience with confidential computing and ZKP/SMPC protocols Ph.D. in computer science from a top-tier school A strong publication record in premier systems, performance, or ML Work experience in industry is desirable Working at Brave - What we offer Ability to work at an exciting and well-funded international startup headquartered in San Francisco Cutting-edge technology, allowing you to work with state-of-the-art tools and software solutions Competitive compensation and plenty of room for personal growth Great international exposure and team atmosphere We are looking to hire in London but would consider an exceptional candidate in the rest of Europe. NO AGENCIES or RECRUITERS PLEASE - Unfortunately, we cannot work with third parties on these searches.

Location: San Francisco, CA | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are seeking an experienced Revenue Systems Engineering Director to join our Finance Systems team at Anthropic. You will own the technical architecture, implementation, and optimization of our Order-to-Cash (OTC) systems as we scale globally. You'll serve as the technical lead for our revenue systems within the ERP ecosystem, driving automation of revenue recognition processes and integrating our billing, sales, and financial systems. Responsibilities Revenue Platform Architecture & Development Own the revenue systems architecture and development supporting multi-entity operations and global subsidiaries Design and implement scalable data pipelines using DBT/SQL frameworks to transform high-volume financial transactions with low-latency response times for real-time integrations Build and maintain automated revenue recognition workflows ensuring ASC 606 compliance for complex subscription and consumption-based billing models Data Engineering & Pipeline Orchestration Modify, enhance, and optimize data transformation models using DBT/SQL to support standardized data flows across accounting, billing engineering, and product teams Establish comprehensive testing frameworks for data transformations, formally documenting successful behavior to support System Integration Testing (SIT) and audit requirements Systems Integration & Technical Leadership Collaborate with Revenue Accounting, Data Infrastructure, and BizTech teams to design enterprise-grade integration patterns supporting significant transaction volume growth Implement automated reconciliation engines achieving rapid variance detection and substantially reducing manual revenue team effort Provide technical expertise during month-end close processes, ensuring system reliability and performance during peak transaction volumes Innovation & Continuous Improvement Pioneer AI integration for revenue operations, building intelligent agents for discrepancy investigation, automated testing, and self-service analytics Evaluate and implement emerging technologies to modernize integration architecture Establish best practices with CI/CD pipelines, automated testing, and deployment workflows maintaining high reliability standards Mentor team members on technical best practices, code reviews, and documentation standards Minimum qualifications Possess strong technical proficiency in Python, SQL, DBT, and modern data engineering tools (workflow orchestration, infrastructure as code, cloud data warehouses) Have extensive experience with enterprise billing platforms and revenue recognition requirements (ASC 606) Demonstrate expert-level understanding of ERP systems with hands-on configuration and integration experience, including proficiency with API development (REST, SOAP/XML, webhooks) and understanding of ERP extension patterns and custom object development Experience with additional programming languages (Java, JavaScript/TypeScript, Go) for building integrations, APIs, and custom ERP extensions Track record of leading technical workstreams during ERP transformations or major system migrations Are skilled at designing scalable integration architectures, including both real-time APIs and batch processing patterns for high-volume financial transactions Have proven ability to translate complex business requirements into robust technical solutions while maintaining alignment with accounting principles and audit standards Understanding of consumption-based pricing models, usage metering platforms, and marketplace billing Thrive in a fast-paced, high-growth environment where you'll balance innovation with operational stability Have excellent communication skills to bridge technical and business stakeholders, including Finance, Accounting, Revenue Operations, and Engineering teams Preferred qualifications Have 12+ years of experience in revenue systems engineering, with deep hands-on expertise in Order-to-Cash (OTC) implementations Experience implementing revenue platforms at scale for SaaS or subscription-based businesses processing high transaction volumes Background in financial systems implementations supporting multi-entity, multi-currency operations with complex revenue recognition scenarios Hands-on experience with CRM/CPQ platforms and integration patterns connecting sales systems to billing and ERP systems Specific experience with: Salesforce CPQ/Revenue Cloud, Zuora, Stripe Billing,, Workday Financials Familiarity with Workday Prism and Oracle Accounting Hub solutions for managing third-party transaction data Technical expertise with iPaaS platforms (MuleSoft, Workato, Boomi) and advanced API patterns (GraphQL, event-driven architectures) Experience leveraging agentic development workflows Experience with AI/LLM integration for financial operations, including document processing, data extraction, and intelligent automation Familiarity with Agile/Scrum methodologies and experience working in matrix organizations coordinating across multiple teams Knowledge of SOX compliance requirements, financial controls, and audit readiness for revenue systems Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or related technical field Hands-on experience with modern data stack tools: Airflow, Terraform, BigQuery/Snowflake/Databricks Build and maintain Airflow DAGs orchestrating complex financial workflows, including Python scripts for DBT execution, authenticated API calls, and data quality validation Familiarity with financial reporting and business intelligence tools (Hex, Looker, Tableau, Power BI) for revenue analytics and executive dashboards The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $270,000 — $315,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco; New York City ABOUT THE ROLE The AI Acceleration team’s mission is to make Perplexity the best place to build and ship software with AI agents. We build the infrastructure that engineers and agents rely on, and develop new ways for agents to write, test, review, and ship code. Our work helps teams move from an idea to production faster, without compromising quality or reliability. We own the end-to-end development experience at Perplexity, from the environment where code is written to the systems that ship it to production. That includes local and cloud coding environments, build and test infrastructure, code review, and release management. We’re also building autonomous software development systems, where agents take on increasingly complex engineering work with explicit evaluation, verification, and safety controls. We own both the infrastructure these systems depend on and the workflows that make them useful. As an AI Acceleration Engineer, you’ll turn emerging agent capabilities into dependable systems used across Perplexity. You’ll work directly with engineers to understand where development slows down, experiment with new approaches, and take promising ideas through to production. This role combines systems engineering, developer experience, and hands-on agent development, with a direct measure of success: helping teams spend less time on delivery overhead and more time building products. RESPONSIBILITIES - Identify, prioritize, and deliver the highest-impact opportunities to accelerate how Perplexity builds and ships software with AI. - Work directly with engineering and business teams to understand their workflows, constraints, and bottlenecks, and build solutions that address how they actually work. - Build and operate the infrastructure that engineers and agents depend on, including development environments, build and test systems, code review, and release tooling. - Make our codebases, systems, and internal knowledge easier for agents to navigate, understand, and use through better tooling, interfaces, documentation, and context. - Take agent-driven workflows from prototype to production, building the evaluations, verification, and controls needed to delegate increasingly complex engineering work safely. - Improve delivery speed and software quality together. Measure the impact of your work on development time, review effort, and production reliability, and use those results to guide what comes next. - Evaluate emerging models, tools, and approaches through hands-on experimentation. Turn the evidence into clear technical decisions, and drive adoption of the technologies that prove useful. - Use AI extensively in your own engineering work, share what works, and help colleagues adopt effective practices. Partner with engineering leadership and recruiting to strengthen how we hire and develop engineers who work effectively with AI. QUALIFICATIONS - 5+ years of software engineering experience, ideally with substantial work in infrastructure, platform engineering, or developer productivity in technically complex environments. - Daily, hands-on use of AI models and coding tools, with practical judgment about where they perform well, where they fail, and how to verify their output. - Strong proficiency in one of the languages – Python, Go or Rust, along with the willingness to learn other languages as the work requires. - Broad familiarity with the systems used by AI product and applied research teams, including cloud infrastructure, distributed systems, data pipelines, and ML tooling. You don’t need deep expertise in every layer, but you should understand how they fit together. - An ability to understand how engineers and researchers across disciplines work, paired with curiosity about the needs of business and operations teams. You build tools around users’ actual workflows and constraints. - A drive to make codebases, systems, and processes easier to understand, operate, and change. You look for ways to replace brittle workflows and implicit knowledge with clear interfaces and reliable automation. - Sound technical judgment about when to experiment, when to commit, and when to ship a pragmatic solution. You can balance immediate delivery with investments that make future work faster and more reliable.

Location: San Francisco; New York Workplace: Hybrid Patreon is a media and community platform where over 300,000 creators give their biggest fans access to exclusive work and experiences. We offer creators a variety of ways to engage with their fans and build a lasting business including: paid memberships, free memberships, community chats, live video, and selling to fans directly with one-time purchases. Ultimately our goal is simple: fund the creative class. And we're leaders in that space, with: - $10 billion+ generated by creators since Patreon's inception - 100 million+ free memberships for fans who may not be ready to pay just yet, and - 25 million+ paid memberships on Patreon today. We're continuing to invest heavily in building the best creator platform with the best team in the creator economy and are looking for a Staff Software Engineer, Backend Platform to support our mission. This role can be based in San Francisco or New York and open to those who are able to be in-office 3 days per week on a hybrid work model. About the Team The Backend Platform team builds the foundational systems and infrastructure that power Patreon's creator platform. We're responsible for the core backend services, APIs, databases, infrastructure, and developer tooling that enable product teams across the company to ship quickly, reliably, and at scale. This team is growing and investing in foundational platform capabilities that will support Patreon's next phase of scale and product expansion. About the Role - Design and drive technical solutions for key systems within Patreon's backend platform and foundational infrastructure - Lead architecture and implementation of scalable distributed systems, APIs, event-driven systems, and platform services - Contribute to and lead modernization efforts across backend architecture, service boundaries, data access patterns, and infrastructure - Help establish and uphold technical standards and best practices around reliability, performance, scalability, and maintainability - Partner with product engineering teams to ensure platform capabilities align with business and product needs - Drive technical decision-making for your team's projects, partnering cross-functionally as needed - Help evolve operational maturity around incident management, resiliency, and production excellence - Mentor Senior and mid-level engineers through design reviews, technical guidance, and hands-on collaboration What you'll need - Significant experience building large-scale backend systems, with depth in distributed systems and platform architecture (typically 6-8+ years, or equivalent demonstrated expertise) - Strong expertise in distributed systems, high-throughput APIs, and low-latency architectures that support millions of DAUs - Experience with databases, caching systems, and storage technologies (e.g. MySQL, Postgres, Redis, DynamoDB) - Strong understanding of data modeling, storage systems, caching, queues, and event-driven architectures - Experience in performance optimization across APIs, databases, caching layers, and distributed services - Strong operational excellence mindset, including incident response and production debugging - Experience operating systems in cloud-native environments such as AWS and Kubernetes-based infrastructure - Proficiency in one or more backend languages such as Python, Go, Java, or Rust - Ability to communicate architectural trade-offs clearly in writing and in cross-functional forums - Experience mentoring Senior and mid-level engineers and contributing to engineering culture through design reviews, documentation, or team standards We hire talented and passionate people from different backgrounds because workplace diversity and inclusion is critical to our ability to serve creators worldwide. If you're excited about a role but your past experience doesn't match with every bullet point outlined above, we strongly encourage you to apply anyway. If you're a creator at heart, are energized by our mission, and share our company values, we'd love to hear from you. About Patreon Patreon powers creators to do what they love and get paid by the people who love what they do. Our team is passionate about making this mission and our core values come to life every day in our work. Through this work, our Patronauts: - Put Creators First | They're the reason we're here. When creators win, we win. - Build with Craft | We sign our name to every deliverable, just like the creators we serve. - Make it Happen | We don't quit. We learn and deliver. - Win Together | We grow as individuals. We win as a team. Patreon is proud to be an equal opportunity employer. We provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, veteran status, or any other protected class. If you need a reasonable accommodation during the interview process, please let us know via email at accommodations@patreon.com Patreon offers a competitive benefits package including and not limited to salary, equity plans, healthcare, flexible time off, company holidays and recharge days, commuter benefits, lifestyle stipends, learning and development stipends, patronage, parental leave, and 401k plan with matching. Patreon operates under a hybrid work model, where employees based in office locations are expected to come into the office three days per week, excluding sick time and paid leave. The goal of this policy is to be intentional about the in-person time we spend together to strengthen the feeling of community at Patreon. Candidates hired into remote-eligible roles are not expected to meet the same requirements. At Patreon, we believe in fair and transparent pay. In compliance with New York and California pay transparency laws, we are sharing the expected salary range for this role. The posted salary range is dependent on the location and the level. This range may encompass multiple levels within the role's job family. The final offer will be based on candidate's experience, skills, competencies, and geographic location, aligning with the appropriate job level within Patreon leveling framework. For remote employees located outside CA and NY, salary may vary based on location and local market conditions. Patreon reserves the right to modify or update compensation and benefits at any time.

Location: New York HQ Workplace: OnSite ABOUT AVOCA Avoca is transforming how home service companies engage with their customers. Our AI-powered conversational agents handle every high-value inbound call, from booking jobs, qualifying leads, and driving higher revenue, all at a speed and consistency unmatched by human call centers. We're a Series B startup backed by Kleiner Perkins, Meritech Capital, General Catalyst, and other top-tier investors, with $125M raised and a $1B valuation. We grew 10x in 2025 and have scaled to 170+ employees in under two years across our NYC headquarters and Santa Barbara office. In a $1T+ market where 85% of missed calls go to competitors, we're building the category-defining platform for AI-driven customer engagement, serving the largest brands in home services. With high-energy, in-office teams in both locations, every hire here has an immediate and visible impact. ABOUT THE ROLE We’re hiring a GTM Engineer to build the data, systems, and growth infrastructure behind Avoca’s next stage of growth. Our ambition is to build a world-class GTM engine. We’re looking for someone excited to build AI-powered systems that give a small team enormous leverage and have an outsized impact on revenue. You’ll build the engine behind our outbound motion: mapping and enriching our target market, finding the signals that indicate which accounts are most likely to buy, and turning those signals into relevant outreach and timely action for our Sales team. You’ll also build and scale our autonomous outbound email program from the ground up, using AI-powered workflows to run personalized campaigns to thousands of accounts, while maintaining strong sending infrastructure and deliverability. Beyond outbound, you’ll build the data pipelines, integrations, automations, and internal tools that make our Growth and Sales teams more effective. This is a builder-operator role: you’ll put the systems you create into practice, learn from their performance, and keep improving them. We’re looking for someone with the technical ability to build complex systems and the commercial judgment to focus that work on qualified pipeline and revenue. You’ll report directly to the Head of Growth and work closely with Sales and RevOps to turn better data, signals and workflows into pipeline. WHAT YOU’LL DO - Build, run, and scale our autonomous outbound email engine end-to-end: from campaign strategy and execution to sending infrastructure, deliverability, measurement, and optimization — turning it into a major source of qualified pipeline - Build and ship AI agents and GTM workflows for prospect research, account prioritization, personalization, content development and other repeatable work; continuously identify new opportunities to automate and expect to launch new agents regularly - Map and enrich Avoca’s total addressable market, building the reliable account and contact data that powers our campaigns and outbound SDR motion - Identify, test, and activate buying signals that surface the right accounts at the right time and trigger relevant outreach or rep action - Build the integrations, automations, and internal tools that connect our data sources, CRM, enrichment providers, outbound platforms, and Sales workflows - Partner closely with SDRs, Sales, and RevOps to improve targeting, lead routing, rep productivity, and the conversion of signals into pipeline - Evaluate our GTM technology stack and decide what to buy, build or automate WHAT YOU’LL BRING - 3+ years of experience in GTM engineering, growth ops, outbound, or another technical GTM role in a B2B environment - A track record of building and operating large-scale outbound email programs that generated qualified pipeline - Deep knowledge of outbound infrastructure and deliverability, including domain and inbox provisioning, authentication, warm-up, rotation, bounce management, and sender reputation - Demonstrated expertise building AI-powered workflows for research, segmentation, personalization or campaign execution - Hands-on experience building sophisticated workflows in tools such as Clay, Claude Code, n8n, Make, Zapier, Smartlead, or similar platforms - Strong technical foundations and comfort working with APIs, webhooks, data integrations, and conditional logic; working knowledge of SQL, Python, or JavaScript - Experience building, enriching, and maintaining large account and contact datasets using multiple data providers and enrichment waterfalls - Strong commercial judgment and the ability to turn customer, market, and behavioral data into repeatable growth systems that create pipeline WHO YOU ARE - You’re a builder who wants to own both the system and the business outcome - You combine technical depth with commercial instinct and can move comfortably between building AI-powered workflows, campaign strategy, and pipeline review - You’re deeply curious and enjoy uncovering unconventional data, signals, and workflows that create alpha - You move quickly, test pragmatically, and make good decisions without waiting for perfect data or an established playbook - You’re rigorous about the details - You build for the people using your systems and work closely with Growth, Sales, and RevOps to understand what they actually need - You’re high-agency, resourceful, and excited to work in person in NYC with an ambitious team that moves quickly and holds a high bar BONUS POINTS - Experience building signal-based outbound for a mid-market sales motion - Experience supporting or working closely with a scaled SDR organization - Experience in vertical SaaS, home services, or another market with a large, identifiable universe of target businesses - Experience building agentic workflows, AI-powered internal tools, or autonomous GTM systems from scratch   BENEFITS - Comprehensive medical, dental, and vision insurance - Company-sponsored 401(k) through Vestwell - Flexible PTO plus U.S. federal holidays - Company-wide off-sites - Monthly wellness stipend - Daily in-office lunch through Parkday - Dinner covered when working late - Commuter benefits and late-night rideshare - Standing desks and workspace accommodations available on request - All core tools and software provided   Compensation: The expected on target earnings for this role is $160,000-$210,000 with final compensation based on experience, skills, and qualifications determined during the interview process. Avoca’s total compensation package includes base salary, bonus, equity, and a comprehensive suite of benefits and perks. Our Recruiting team will share the full details as you progress through our hiring process. WHY AVOCA At Avoca, you’ll be part of a team that’s building a category-defining company at the center of a massive market opportunity. We’re a fast-moving, collaborative team with a culture designed for builders who thrive on speed, iteration, and impact. Avoca provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability.