Вакансии

Location: South Korea - Office Who is Tenable? Tenable® is the Exposure Management company. Over 40,000 organizations around the globe rely on Tenable to understand and reduce cyber risk. Our global employees support 65 percent of the Fortune 500, 50 percent of the Global 2000, and large government agencies. Come be part of our journey! What makes Tenable such a great place to work? Ask a member of our team and they’ll answer, “Our people!” We work together to build and innovate best-in-class cybersecurity solutions for our customers; all while creating a culture of belonging, respect, and excellence where we can be our best selves. When you’re part of our #OneTenable team, you can expect to partner with some of the most talented and passionate people in the industry, and have the support and resources you need to do work that truly matters. We deliver results that exceed expectations and we win together! Your Role: The Technical Support Engineer provides consistent, world-class security, network, and product support for Tenable products. Our support engineers possess excellent knowledge of security assessment, vulnerability management and compliance auditing capabilities along with the drive to rapidly learn the newest technologies. Impeccable communication skills (written and verbal) focused on sustaining market leading customer loyalty is a key requirement for this position. The Technical Support Engineer provides support for Tenable’s entire product suite; including Tenable.io, Nessus, Security Center, Log Correlation Engine, and Nessus Network Monitor. Your Opportunity: Provide troubleshooting assistance to customers when they encounter product issues to ensure timely problem resolution. Collaborate effectively and efficiently with other TSEs to solve difficult issues. Use remote troubleshooting techniques to troubleshoot and correct issues. Help customers understand vulnerability scan results, system audits, and/or log events and provide clear, concise, and actionable information to quickly resolve issues. Recreate customer software issues in a lab environment for engineering assessment. Ensure customer feedback is captured accurately for review. Maintain in-depth knowledge of Tenable products and information security best-practices. Create and publish knowledge articles for re-use by customers and Tenable employees. Continually review personal performance metrics to ensure goals are consistently met. May perform other duties and responsibilities that management may deem necessary from time to time. What You'll Need: Bachelor’s degree in computer science or information systems (or equivalent experience). 1+ Years Customer Support / Helpdesk Experience. 1+ Years Linux / Windows Server Administration Experience. 1+ Years Log File Analysis Experience. Strong knowledge of TCP/IP ports and protocols. Working Knowledge of Firewalls. Working Knowledge of Wireshark/PCAP or similar. Knowledge of Nessus or similar programs is a plus. A passion for helping customers succeed. Outstanding written and verbal communication skills. Strong analytical and technical skills. Strong desire to learn new skills at an accelerated pace. Ability to multi-task and manage multiple priorities in a fast-paced environment. Occasional availability to work weekends (10:30am - 8:30pm) and Holidays. Ability to sit and work at a computer for extended periods of time. Some travel may be required. #LI-SH2 #LI-Office We’re committed to promoting Equal Employment Opportunity (EEO) at Tenable - through all equal employment opportunity laws and regulations at the international, federal, state and local levels.  If you need a reasonable accommodation due to a disability during the application or recruiting process, please contact Recruiting@Tenable.com for further assistance. Tenable Data Consent Statement Tenable is committed to protecting the privacy and security of your personal data. Depending on your location, one or more of the following notices may apply to you: General Applicant Privacy Notice California Applicant Privacy Notice EU/EEA/UK Applicant Privacy Notice

Location: United Kingdom; Spain Workplace: remote Help Us Build The Future of Travel At Airalo, we're making it easier for people to stay connected wherever they travel. As the world's first eSIM store, we help millions of travelers access affordable mobile data in 200+ countries and regions around the world. Today, we're a team of 400+ people across 60+ countries, building a product used by travelers every day. We've grown quickly, but we've worked hard to keep what matters: trust, ownership, and the freedom for people to do great work without unnecessary layers or bureaucracy. We're fully remote by design, genuinely global, and united by a shared mission to make travel simpler for everyone. Your Next Destination Location: Remote, anywhere in Spain or the UK. Contract: Spain: Full-time, permanent contrato indefinido via Deel (our employer of record in Spain) UK: Full-time, permanent Benefits: Learn more about our benefits here in this link - https://airalo-public.notion.site/Benefits-25396a97ffca81fb9bc1f0be479f1be3?pvs=74  Languages: English is our main working language day to day, so you'll need to be comfortable communicating in it both in meetings and async. Curious what it's actually like to work at Airalo? We've put together a guide for each of the hubs we hire from most, covering our benefits, remote culture, employment setup, and what our team values most: Life at Airalo · España: https://airalo-public.notion.site/life-at-airalo-espana Life at Airalo · United Kingdom: https://airalo-public.notion.site/life-at-airalo-united-kingdom We’re looking for a Senior Analytics Engineer to help shape how data is modeled and governed at Airalo, transforming first- and third-party data into clean, trusted, well-documented datasets that power decisions across product, marketing, finance, and commercial teams, serving 30+ million users and growing. This role carries particular weight in our finance and revenue domain: you’ll steward the models finance relies on directly, including order-to-revenue flows and reconciliation against third-party systems such as our ERP, where precision and auditability matter as much as scalability. Our analytics engineering function is still maturing, so you’ll have real ownership in establishing standards, defining our semantic layer, and shaping how data is structured as we scale globally, working closely with the rest of the data team to build a production-grade analytics platform on LightDash and beyond. What You'll Do: Design, implement, and maintain data models using dbt within our cloud data warehouse, ensuring performance, cost efficiency, and alignment with business logic Build and maintain finance and revenue data models, including order-to-revenue flows, recognition logic, and reconciliation against source-of-truth financial systems, that finance and commercial teams can rely on for reporting and forecasting Own the order-to-revenue pipeline: ensuring every order correctly and traceably resolves into recognized revenue, with clear handling of refunds, adjustments, currency conversion, and edge cases Collaborate with other analytics engineers and data engineers to build and scale ELT workflows that ensure data freshness and reliability for mission-critical reporting Partner with Finance and the ERP systems integrator to validate that data models and definitions carry over correctly from legacy systems into the new ERP/EPM platform Implement robust testing, documentation, and monitoring practices, acting as a steward of data quality and governance across the platform, with particularly high attention to detail in domains where small errors compound (e.g., revenue, finance) Collaborate cross-functionally  to translate complex business questions into scalable, production-ready data artifacts Partner with the data analysts and domain leadership to drive the rollout and adoption of self-service analytics, ensuring business users can trust and independently explore the data models you build Contribute to the evolution of our modern data stack, bringing curiosity and pragmatic judgment to new tools and approaches Must Haves: Bachelor's/Master's degree in a quantitative field (statistics, economics, mathematics, computer science, or equivalent work experience) Hands-on experience building finance and/or revenue data models, ideally including order-to-revenue or billing-to-revenue pipelines, revenue recognition logic, or financial reconciliation (ERP, billing platforms or similar) 5+ years in analytics engineering, data engineering, or analytics roles with significant modeling responsibilities Strong SQL and data modeling skills, with demonstrated experience designing robust, scalable dimensional models Exceptional attention to detail, especially when working with numbers that feed financial reporting, reconciliation, or external disclosure Significant hands-on experience with dbt (Core or Cloud) for managing transformation logic, testing, and documentation Familiarity with cloud data platforms (BigQuery) and data orchestration tools (Airflow, Dagster, or similar) Experience working with modern BI platforms and semantic layers-LightDash experience is a strong plus Track record of partnering with analysts and business stakeholders to translate requirements into well-structured data products Strong communication skills, with the ability to explain complex data concepts to diverse audiences Proactive self-starter who thrives on solving ambiguous problems and takes ownership from concept to production Nice to Have: Experience in marketplace, telecom, or travel/mobility businesses Background in B2C product companies with high-volume event data Experience building analytics engineering capabilities in low-maturity data environments Previous experience at a scale-up that went through hypergrowth Experience defining and governing company-wide KPIs and metric frameworks Experience working alongside or within a finance function (e.g., supporting FP&A, revenue accounting, or audit processes) on data accuracy and traceability Why People Join Us 🇪🇸 Why people join us in Spain We started Airalo to make staying connected effortless, wherever you are in the world. Today, millions of travelers rely on our eSIMs, and many of the people building the product were customers first. Our team is united by a shared belief that great work happens when people are trusted to own what they do. As Airalo continues to grow, so do the opportunities to learn, take on new challenges, and make a real impact. For many of our teammates in Spain, it's the combination of stability, flexibility, and genuine work-life balance that makes Airalo feel like home. 🇬🇧 Why people join us in the UK We started Airalo to make staying connected effortless, wherever you are in the world. Today, millions of travelers rely on our eSIMs, and many of the people building the product first discovered us as customers. Our team spans 60+ countries, but what people often notice quickly is how work actually feels here. There's trust to own what you do, space to focus without constant layers of process, and a clear sense of what you're responsible for from day one. As Airalo continues to grow, people tend to stay for a mix of things: the chance to work on a product used globally, the autonomy to shape how they work, and the opportunity to keep taking on new challenges without getting stuck in one lane. Before You Hit Apply By applying, you acknowledge and agree that, in case of successful application, Airalo may request to run background checks as a condition for entering into an agreement with you. Rest assured that these checks will only occur upon your prior consent and at the end of the selection process, and will be strictly limited to what is allowed under the laws that are applicable to you. All data that you share or that we collect in connection with such checks will be processed in accordance with our Privacy Policy, available here: www.airalo.com/more-info/privacy-policy?srsltid=AfmBOooBT0rXAj1FaNelZ3VfN0wvhwzvAoxdtHnOKSVETpiSjiXVuycy    We sincerely thank all applicants in advance for submitting their interest in this opportunity. Airalo is an equal-opportunity employer and values diversity, equity & inclusion. We do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to providing reasonable accommodations upon request for individuals with disabilities throughout our job interview process. At Airalo, we believe in roaming-free recruitment. Just as we provide clear connectivity for travelers, we provide clear salary ranges for our candidates. 🌍 This role is remote and open to candidates across our supported locations in Europe. The range below reflects the full salary range for this role across the countries where it's available: 📍 UK: £74,800 – £112,200 📍 Spain: €77,600 – €116,400 📍 Germany: €76,000 - €114,000 Your Home Destination: 🛫 Local market rates and cost of living vary, so your specific range depends on where you’re based. Most people join in the first half of the band, which leaves you plenty of room to grow, and you’ll see exactly how that looks from day one. In exceptional cases, where a candidate’s skills and experience clearly exceed what the role requires, we’re happy to talk about going higher. We’ll walk through your range together on your first call with our Talent team, so we’re all aligned for takeoff! 🎒✨

Location: Anywhere in France Workplace: Hybrid HEALTH CAN’T WAIT. Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t. Alan exists to end the wait. Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way. So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience. We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR. Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond. ABOUT THE GROWTH TEAM Growth Marketing at Alan covers a broad range of opportunities, including acquisition, segment and market growth, partnerships, content, experimentation, and international expansion. We are looking for adaptable marketers who can take ownership of a defined growth problem, learn quickly, and evolve as our priorities change.   YOUR MISSION As a Growth Marketer, you will independently own an ambiguous but defined Growth problem from diagnosis through execution. You will prioritise the highest-impact actions, coordinate the relevant stakeholders, and connect your work to measurable business outcomes. Concretely, our team works on missions such as: - Developing our channels: scaling paid acquisition, growing visibility in AI search and LLMs like ChatGPT, or growing our strategic partnerships - Crafting the go-to-market strategy for our different segments (e.g. retirees, freelancers, companies,...) - Producing performance creatives with AI workflows to create assets at scale Missions you could work on include: - Scale Alan's referral program - Develop and optimise our B2B and B2C growth through LinkedIn Ads - Own search acquisition across markets   WHAT YOU WILL DO - Independently own an ambiguous but defined Growth problem from diagnosis through execution. - Prioritise high-impact opportunities and make clear trade-offs. - Design and run experiments, campaigns, or programmes end to end. - Coordinate the relevant stakeholders and move initiatives forward with limited direction. - Use business and performance data to make decisions and establish a clear learning loop. - Adapt your approach based on results, customer insight, and feedback. - Connect your work to measurable business outcomes. WHAT WE ARE LOOKING FOR - Experience owning a meaningful Growth, acquisition, segment, market, or related Marketing scope. - Strong problem-framing, prioritisation, and experimentation skills. - Ability to make decisions based on evidence and business impact. - Hands-on execution combined with an understanding of adjacent teams and activities. - Ability to work with limited direction in an ambiguous environment. - Clear communication and constructive stakeholder management. - Curiosity, adaptability, and willingness to expand your scope over time. - Advanced written and verbal communication skills in English For this opportunity, we are aiming to hire within the B1-C1 level range https://app.notion.com/p/alaninsurance/Compensation-Alan-9a9fcf8b0cdf497a9c0ac89a11f048a3.   🎯 IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES. If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply, as it can only bring learnings or success. If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements? Remember, this is just a guide, not a checklist. We'll be thrilled to receive your application! 🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info.   YOU WANT TO KNOW MORE ABOUT ALAN? - 🙌 Perks & Benefits https://alan.com/en/careers/a/salary-equity: Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers. - 🤘 A strong culture https://alan.com/en/about/a/leadership-principles: People joining Alan are often surprised and delighted by our innovative working method. We have a set of cultural values that guide our approach to work

Location: Bulgaria, Sofia Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry’s digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity. We are looking for a detail-oriented and proactive Technical Engineering Advisor to join our  DFM team, supporting customer deals across the full range of order sizes. In this role, you will act as a key link between customers, providers, and internal teams, ensuring manufacturability of designs and a successful transition into production. How You’ll Contribute: Customer Engagement (Deal Stage): Perform routine Design for Manufacturing (DFM) reviews Analyze part designs and support their optimization to ensure manufacturability Communicate with customers by phone, on video calls, and in writing to clarify design and production issues and solve problems Support customer deals of all sizes as part of the Customer Success team Production Support (Production Stage): Collaborate with providers in writing, by phone, and on video calls to resolve manufacturability challenges Provide expertise in complaint handling (excluding formal RMA cases) Ensure clear and timely resolution of technical production issues Sourcing & Continuous Improvement: Work with the Sourcing Engineering team during the provider search stage to identify the most suitable providers Support continuous improvement of manufacturing and engineering processes What You’ll Bring to Xometry: Technical Knowledge: 5+ years of experience in 3D printing technologies (FDM/FFF, SLA, SLS, MJF, DMLS/SLM) Practical experience in additive manufacturing and DFM analysis. Ability to interpret technical drawings, GD&T, and 3D CAD models. Ability to independently identify technical risks and propose manufacturing solutions. Languages: Fluent and professional English Customer Focus: Customer-oriented mindset with a strong understanding of customer needs Problem Solving: Strong problem-solving skills and high attention to detail Adaptability: Ability to multitask in a fast-paced environment and adapt across different industries Life at Xometry: Team Spirit & Friendly Atmosphere: We work in an open, friendly, and trusting environment that welcomes initiative; everyone is ready to help and support one another, and we celebrate wins together and appreciate everyone’s contribution Development Opportunities: As a fast-growing company, every new task is an interesting challenge for the team We Care: Ongoing, free well-being activities for our people and charity projects worldwide Flexibility: Speed and flexibility are among our biggest advantages, allowing us to adapt quickly and stay effective amid uncertainty Onboarding: A well-structured onboarding plan that brings together process, technology, and systems into one smooth experience Working Conditions: Full-time job Corporate laptop Salary structure: salary + RSUs Place of work: Bulgaria; full-time remote at the start, moving to a hybrid format once the Sofia office opens Reports to: Team Lead Life at Xometry: Team Spirit & Friendly Atmosphere: We work in an open, friendly, and trusting environment that welcomes initiative; everyone is ready to help and support one another, and we celebrate wins together and appreciate everyone’s contribution Development Opportunities: As a fast-growing company, every new task is an interesting challenge for the team We Care: Ongoing, free well-being activities for our people and charity projects worldwide Flexibility: Speed and flexibility are among our biggest advantages, allowing us to adapt quickly and stay effective amid uncertainty Onboarding: A well-structured onboarding plan that brings together process, technology, and systems into one smooth experience Please send your CV in English. #LI-Hybrid #Promoted Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Please read our privacy policy here.

Location: New York City, NY | Seattle, WA; San Francisco, CA | New York City, NY | 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 Anthropic is looking for a Staff+ Software Engineer to work on the vector search infrastructure behind Claude. Retrieval is how Claude learns about the world. Web search across claude.ai, the API and agentic surfaces, memory across conversations, and the reinforcement learning workloads that train our next models all depend on fast, cheap, high-recall nearest-neighbor search over billions of vectors. You'll join a small team responsible for the vector database layer that serves Claude's retrieval workloads: its architecture, performance, scalability and cost. This is a foundational role. The team is small, core architectural decisions are still open, and the engineers who join now will shape how the system evolves. The role sits in our Databases organization and works day to day with the Search Platform team, which owns web search indexing, retrieval and serving, and the Memory & Search team, which owns search and memory inside claude.ai. We're looking for someone who has built vector or search systems that ran in production, at scale, with real users and a real on-call. You'll be hands-on in the code, and you'll also be the person deciding how the pieces fit together. Key responsibilities Own the core of Anthropic's vector database layer: index structures, storage layout, query execution and the serving layer Own production readiness - benchmarking against exact search, capacity planning, onboarding new workloads, and the operational tooling to run it at scale Drive the recall, latency and cost trade-offs - quantization, filtered search, index build and refresh strategy, and how compute and storage are separated and scaled Scale throughput by an order of magnitude as research and training demand grows, and work out whether the bottleneck is architecture, hardware or engineering bandwidth Extend the retrieval stack toward hybrid retrieval - lexical search and fused ranking alongside vector search Set the evaluation methodology for the system -  recall targets, latency objectives, cost per query, and the regression detection that keeps them honest Set technical direction for a growing team - lead design reviews, make architectural decisions others build on, and mentor the engineers joining the effort Share the on-call for the systems you own Minimum qualifications Direct experience building a vector database or approximate nearest-neighbor search system that ran in production at scale Deep knowledge of ANN index structures (graph-based, clustering-based or disk-resident approaches), vector quantization and filtered search Experience with search relevance and ranking Strong systems programming skills in a language such as Rust, C++ or Go, including performance-critical and memory-intensive code Experience designing and operating large-scale distributed storage or serving systems with strict latency and reliability requirements A track record of independently scoping and delivering ambiguous, multi-quarter technical projects Strong written and verbal communication, with experience driving alignment across teams with different priorities Interest in AI safety and Anthropic's mission Preferred qualifications Experience with object-storage-backed or disaggregated compute and storage database designs Experience building or operating full-text search engines (inverted indexes, BM25) or hybrid retrieval systems Familiarity with embedding models and the retrieval demands of LLM training and inference Experience using GPUs or other accelerators for index build or search Prior experience as a technical lead on a database or search infrastructure team 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: $320,000 — $485,000 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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: United States (Remote) Workplace: Remote ABOUT ONEPAY OnePay is the consumer fintech trusted by millions of Americans to make money better. Our financial system is broken. High fees, low rates, and too few ways to actually grow your money. We’re fixing it. And we’re moving fast. We’re an all-in-one financial services platform that brings together banking, high-yield savings, credit cards, point-of-sale lending, investing, and crypto in one place. We also partner with employers, HCM providers, gig platforms, and others to deliver embedded financial services to millions of employees and frontline workers. We’re backed by Walmart, the world’s largest retailer, and Ribbit Capital, one of fintech’s most respected investors, giving us rare scale, distribution, and the opportunity to build something truly category-defining. But what really sets OnePay apart is how we move. Our customers don’t have time to wait… and neither do we. This place moves fast, and we’re looking for people who are: - Ready to run - Hungry and driven by urgency - Exceptional at what they do, with low ego - Comfortable operating in motion THE ROLE As a Software Engineer on the Banking team at OnePay, your work will have a direct impact on how people access, move, and manage their money, driving everything from the design of scalable banking services to the reliability of real-time money movement that help our customers trust us with their finances. You will: - Lead technical design and delivery of banking features that scale with our growing customer base and support a seamless mobile experience - Set architectural standards and best practices for code quality, performance, security, and reliability across our banking services - Own the technical approach to complex challenges at scale, including sensitive financial data and real-time money movement - Mentor and grow engineers through design reviews, code reviews, and hands-on collaboration on tough problems - Partner closely with product, design, risk, and compliance to shape the roadmap and turn it into high-quality, shipped software - Create and maintain clear documentation, a must-have for a growing, remote organization YOU BRING - 7+ years of professional experience in backend or full-stack software engineering, including technical leadership of projects or teams - Proven success designing, building, and scaling production-grade APIs and distributed systems, ideally in banking, payments, or other regulated financial services - Experience with sensitive financial data and money movement systems, such as ledgers, account management, ACH, or card processing - Proficiency in Node.js and TypeScript or similar modern backend frameworks, and familiarity with microservices, Kubernetes, and AWS - Experience with mobile or user-facing applications, ideally React Native, is a plus - Strong communication and collaboration skills, with a track record of mentoring engineers and driving technical decisions across teams - Drive and proactivity - everyone here is a builder and executor TOOLS WE USE We use Typescript front to back, with node and NestJS frameworks for server code and React Native for our iOS, Android, and Web clients. We run on a highly distributed cloud-native stack with Kubernetes and AWS, and scale and resiliency are at the heart of everything we build. We also embrace agentic development, so engineers have their choice of a variety of models and agent harnesses, including Claude Code, Cursor, Codex, and more to fit their workflow. While you don't need experience with our exact stack, familiarity with modern software engineering practices will help you ramp up quickly. WHAT WE OFFER - Competitive base salary, stock options, and health benefits from Day 1 - 401(k) plan with company match - Remote-friendly (US), flexible time off (FTO), and opportunities for growth - A high-growth, mission-driven, inclusive culture where your work has real impact STANDARD INTERVIEW PROCESS Our process varies by role. Most candidates go through: - AI-assisted initial screen - Interview with Talent Partner - Technical or Hiring Manager Interview - Team Interview - Executive Interview - Offer! EQUAL EMPLOYMENT OPPORTUNITY To build technology and products that are used and loved by people and solve real-world problems, we need to build a team with many different perspectives and experiences. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us at talent@onepay.com.

Location: Sydney, Australia 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 As a Sales Development Representative (SDR) at Avoca, you'll fuel our growth engine by identifying, engaging, and qualifying prospective customers across the Australian home services industry. You'll run high-velocity outbound programs, convert interest into meetings for our Account Executives, and help evangelize Avoca's impact by turning missed calls into booked jobs and measurable revenue. You'll pioneer and build the market. This is a greenfield opportunity: you'll generate Avoca's pipeline in Australia from day one. It's ideal for someone who thrives on speed, experimentation, and impact. You'll own pipeline generation end-to-end: target the right segments, craft compelling outreach, book high-quality meetings, and collaborate closely with Sales, Marketing, and Product to turn customer pain into Avoca wins. WHAT YOU'LL DO - Prospect and qualify leads across Australian home services segments, serving as the first point of contact and trusted resource for prospects evaluating Avoca. - Run high-volume, multi-channel outbound (LinkedIn, email, calls, events) to build pipeline and consistently exceed meeting and SQL targets. - Tailor outreach to customer goals and business models; articulate Avoca's value in booking jobs, capturing missed demand, and lifting revenue. - Partner with Account Executives to schedule demos, share context, and ensure smooth handoffs that convert into opportunities and closed-won deals. - Travel to industry conferences and events to generate leads, book demos on-site, and represent Avoca with professionalism and urgency. - Conduct discovery to qualify fit, pain, and timing; map stakeholders across Operations, Marketing, and Executive teams. - Collaborate with Sales, Marketing, and Product to refine messaging, share market feedback, and continuously improve playbooks and cadences. - Track activity and outcomes with precision; measure and report on KPIs to guide prioritization and iterate quickly. WHAT YOU'LL BRING - 1–3 years in an SDR, BDR, or outbound sales role, ideally at a high-growth startup. - A track record of hitting or exceeding outbound meeting targets, with meetings that actually convert downstream. - Confidence on the phone and in writing: you can articulate value clearly whether it's a 30-second cold call or a personalized email. - Comfort with high volume; you can run 50+ touches a day without sacrificing quality. - CRM discipline: clean data, updated stages, notes that your AEs can actually use. - Excited to work with a high-ownership team across multiple time zones. - Nice to have: experience selling AI, SaaS, or into the home services vertical. - BONUS: Market/domain knowledge and/or an existing trades network. WHO YOU ARE - You're competitive with yourself. You track your numbers, know your conversion rates, and are always looking for the next lever to pull. - You handle rejection well — not because you ignore it, but because you treat it as signal. A "no" teaches you something about messaging, timing, or targeting. - You prepare before you pick up the phone. You've looked at the prospect's website, understand their business model, and can speak to their specific pain. - You're a clear communicator who keeps AEs, managers, and cross-functional partners in the loop without being asked. - You thrive in ambiguity and create structure: you're energized by a blank page, make sound decisions with incomplete information, and build repeatable process where none exists. - You have a high motor: self-driven, relentless in pursuit of pipeline, and quick to act without waiting to be told. - You're already embedding AI into your go-to-market in a systematic way, across prospecting, research, outreach and list building, and can show the workflows you've built and the results they drive. BENEFITS - Flexible PTO plus AU holidays - Company-wide off-sites - Travel to HQ - Competitive medical, dental, and health insurance - All core tools and software provided Compensation: The expected on target earnings for this role is A$150,000–A$175,000, 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.

Location: Sydney WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Harvey is building its first Deal Desk presence in APAC, and this is the first hire. You will be the commercial subject matter expert for our APAC go-to-market teams across Australia, Japan, Korea and the wider region. You will help AEs shape, price, negotiate and closedeals, and make sure those deals are captured accurately in our quote-to-cash systems. This is a hybrid role covering deal strategy and deal operations. You will report to the Head of Deal Desk, who is based in the US, and work closely with APAC GTM leadership, RevOps, Pricing and Packaging, Legal, Finance and Product. WHAT YOU’LL DO DEAL STRATEGY - Partner with AEs at every deal stage on structure, pricing and negotiation, not just at contracting - Build scenario-based pricing models (usage projections, ARR impact, credit allotment sizing) and use product telemetry to connect customer usage to price and value - Act as the expert on Harvey’s move to consumption-based pricing, and help AEs explain it to law firm and in-house customers - Handle redlines and non-standard requests with Legal, Finance and Product;summarize and escalate approvals - Build and maintain field-facing playbooks covering what is allowed, fallback positions and approval paths - Deliver enablement to the APAC field on pricing and deal best practices - Join customer calls where you can add value - Track the commercial pulse of the region and proactively raise trends and insights to Deal Desk and GTM leadership DEAL OPERATIONS - Review, validate and process orders for accuracy, policy compliance and booking readiness - Act as the first line of support for Salesforce and CPQ quoting, approvals and opportunity hygiene - Manage and triage the regional Deal Ops ticket queue - Contribute to CRM and CPQ enhancements through requirements, UAT and rollouts of new workflows or guardrails WHAT YOU BRING - 4+ years in Deal Desk, Commercial or Sales Operations, or RevOps supporting deal construction, with hands-on experience in both strategy and operations - Experience with consumption or usage-based pricing (big data, cloud infrastructure or AI platforms are a strong plus) - Pricing models and scenario analyses you built yourself and used in live deals - Experience with Salesforce and CPQ (e.g. Salesforce CPQ, DealHub) and quote-to-cash processes - Experience delivering field enablement and creating playbooks or process documentation - Clear, concise and measured communication with AEs, executives and cross-functional partners - Calm under pressure, and able to say no while staying a trusted business partner - Comfortable working autonomously with a manager in another time zone, and thriving through constant change - Uses AI tools to work more efficiently WHY JOIN - You will be the first Deal Desk hire in APAC, joining early in Harvey’s regional growth - You will shape how Harvey prices and sells as it moves to consumption-based pricing - Strong, structured onboarding followed by real autonomy - A potential long-term path to leading Deal Desk in the region as the team grows ADDITIONAL INFORMATION - Location: Sydney, NSW (Hybrid with flexibility) - Work eligibility: Must have valid Australian work rights; Harvey does not currently offer visa sponsorship for this role WHAT WE OFFER - Structured hybrid working arrangement: 3 days in our Sydney office, 2 days working from home - Health Coverage: Fully covered private hospital insurance, plus extras for dental, optical, physio, mental health, and more. - Family & Fertility Support: Support for fertility treatments, adoption, and surrogacy through Carrot. - Retirement & Security: Comprehensive coverage designed to support your long-term well-being. - Paid Leave: Paid annual leave, sick leave, and fully paid parental leave for all parents. - Wellness & Perks: Daily in-office lunch, wellness memberships through Wellhub, and monthly commuting support. - Professional Development: Annual support for courses, certifications, conferences, and books. - Remote Work Allowance: Monthly support for home office, internet, and phone expenses. - Harvey Holiday: After four years, enjoy a four-week paid sabbatical to rest, travel, or explore new experiences. DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-EP3 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: New York, NY Workplace: OnSite ABOUT US At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale. We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry. More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale. ABOUT THE TEAM The LangSmith team owns and builds LangChain's core platform for observability, evaluation, and production reliability of AI systems. From tracing and annotation to run rules, evaluations, and beyond, this team owns LangSmith end-to-end. If you want to define what great AI observability looks like at production scale, this is where that work gets done. ABOUT THE ROLE We’re looking for an Engineering Manager to lead the team building LangSmith, our observability and evaluation platform for LLM applications. You’ll define the technical direction, grow and mentor a world-class engineering team, and partner with product and design to deliver features that help developers build and deploy trustworthy AI systems with confidence. WHAT YOU'LL DO - Build, mentor, and grow a high-performing team of engineers, fostering collaboration, ownership, and accountability - Strengthen LangChain’s engineering culture through mentorship, high-quality code, and technical excellence - Shape long-term technical direction and ensure scalability and reliability of LangSmith AI Observability Platform - Partner with product and design teams to define scope, sequence, and success criteria for key initiatives - Maintain a high bar for technical excellence while making sure the team moves with urgency and focus - Lead by example in writing clean, maintainable, and well-tested code in Go/Python and Typescript - Engage directly with customers to understand their needs and translate them into actionable product improvements WHAT YOU'LL BRING - Experience managing or tech-leading teams delivering complex full-stack products - Strong technical background in Go/Python and React/Typescript - Solid understanding of databases (Postgres, Redis and ClickHouse) - Proven ability to design high throughput data-intensive systems - Bias towards shipping quickly and learning from customers - Strong communication skills—able to collaborate with internal stakeholders and engage directly with customers - Bonus: Experience building AI/LLM-powered applications, developer tools, or observability platforms - Annual salary range: $200,000- $250,000 COMPENSATION PHILOSOPHY: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: San Francisco, California About Workato Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit workato.com . Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles . We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care . That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: Business Insider named us an “enterprise startup to bet your career on” Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America Quartz ranked us the #1 best company for remote workers Responsibilities We are seeking a highly motivated and results-driven Account Executive to join our growing Commercial sales team. This team will play a pivotal role in driving new logo acquisition through inbound & outbound efforts.  In this role, you will manage customer relationships from discovery & qualification to close. Typical sales cycles may involve POCs, multiple stakeholders, strategic pricing negotiations, and selling to executives and CXOs. In this role, y ou will also be responsible to: Pipeline Generation: Work closely with marketing, solutions consultants, partners, peers and leadership to generate qualified opportunities and build and maintain healthy ongoing pipeline coverage. Opportunity Management: Leverage Workato Selling System and MEDDPICC to effectively qualify and manage opportunities to close. Deal Management: Lead the end-to-end sales process, from initial contact through negotiation and close, ensuring a smooth and successful customer conversion. Market Research: Stay up to date on industry trends, competitor activity, and customer needs to refine sales messaging and positioning. CRM Management: Track all activities, opportunities, and progress within salesforce, ensuring accurate forecasting and reporting. Requirements Qualifications / Experience / Technical Skills Experience: 3+ years of sales experience, with a proven track record in B2B sales, new customer acquisition, and/or account expansion (preferably in a SaaS or technology-related field). Soft Skills / Personal Characteristics Strong discovery and qualification skills Exceptional communication, negotiation, and presentation skills. Ability to build rapport and trust quickly with both potential customers and internal stakeholders. Analytical mindset with the ability to leverage data to inform decisions and improve performance. (REQ ID: 2988)

Location: AU: Melbourne: (260 Burwood Rd) Workplace: Hybrid The role & impact As our Affiliates Manager, you’ll own the strategy and day-to-day management of Xero’s global affiliate channel, across both the Xero and Melio brands. You’ll look after publisher relationships end to end and shape campaigns that bring new customers to our websites, optimising them towards lifetime value and first-time payers. Working across Impact and PartnerStack, you’ll manage a multi-million dollar channel and be accountable for clear, measurable returns. This is a rare chance to help build an affiliate channel that sets the standard for SaaS, at a global, publicly listed company. You’ll help us move from doing acquisition well to doing it at scale, building tools and workflows (many powered by AI) that make growth repeatable. You’ll be the person who can sit down with an engineer or applied scientist to work through tracking, attribution and incrementality, then turn those insights into plans that publishers, partners and stakeholders get behind. The team & how they connect You’ll join our affiliates team, part of Xero’s wider performance marketing function, working alongside a fellow Affiliates Manager in Sydney who specialises in publisher relationships. The two of you will share ownership of the channel, with your measurement and technical know-how complementing their partner expertise. You’ll Make it together with product, data science, engineering, brand and our external affiliate agency to bring every campaign to life. Initially, the role will focus on ➔ Getting hands-on with our affiliate platforms, Impact for Xero and PartnerStack for Melio, and the tracking and reporting behind them. ➔ Reviewing performance and attribution data across both programmes, and closing any tracking gaps quickly. ➔ Growing and nurturing high-quality publisher partnerships across our core markets of Australia, the UK and the US. ➔ Shaping the channel’s roadmap, including AI-powered tools and automation that help us scale acquisition. Where and how you can work This role can be based anywhere in Australia or New Zealand, near one of our offices. We work in a hybrid way, mixing time with your team in the office with time working from home, and our offices host regular boost days that make catching up in person easy. Here are some of the things we are looking for ➔ You’ll bring hands-on affiliate marketing experience at scale, whether from an affiliate network, platform, agency or the client side. ➔ Experience running programmes on platforms such as Impact or PartnerStack, from partner recruitment through to optimisation and reporting, is something you bring. ➔ A strong grasp of tracking, attribution, measurement and incrementality means you enjoy getting into the detail with engineers and data scientists. ➔ Building trusted relationships comes naturally to you, from publishers and partners to technical and business stakeholders. ➔ Owning budgets and commercial targets feels familiar, and you can turn data into clear insights that show the value of the channel. ➔ Curiosity about AI is part of how you work, and you Make it happen by finding, testing and rolling out new tools that help the channel scale. Apply even if your experience isn’t a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.

Location: United States (Remote) Workplace: Remote ABOUT ONEPAY OnePay is the consumer fintech trusted by millions of Americans to make money better. Our financial system is broken. High fees, low rates, and too few ways to actually grow your money. We’re fixing it. And we’re moving fast. We’re an all-in-one financial services platform that brings together banking, high-yield savings, credit cards, point-of-sale lending, investing, and crypto in one place. We also partner with employers, HCM providers, gig platforms, and others to deliver embedded financial services to millions of employees and frontline workers. We’re backed by Walmart, the world’s largest retailer, and Ribbit Capital, one of fintech’s most respected investors, giving us rare scale, distribution, and the opportunity to build something truly category-defining. But what really sets OnePay apart is how we move. Our customers don’t have time to wait… and neither do we. This place moves fast, and we’re looking for people who are: - Ready to run - Hungry and driven by urgency - Exceptional at what they do, with low ego - Comfortable operating in motion THE ROLE As a Corporate Security Automation Engineer at OnePay, you will lead the design, implementation, automation, and optimization of our corporate security infrastructure. You will enhance security controls, align goals with business objectives, and drive automation and self-service capabilities to maintain a strong security posture in a rapidly scaling environment. - Work with IaC tools like Terraform to ensure enterprise configurations are steady, change-managed and machine-readable. - Design and deploy endpoint security measures aligned with industry standards, including vulnerability management. - Ensure a strong security posture for corporate SaaS applications by configuring vendor capabilities or building automations to meet OnePay standards. - Mature and manage data protection controls, including Data Loss Prevention (DLP) tools and secure data handling processes. - Build secure methods for sharing data with internal teams and external partners. - Collaborate with IT, Infrastructure, and Security teams to implement security measures, maintain critical corporate systems (ensuring availability and compliance), and drive process improvement through automation. - Develop and run incident response and disaster recovery plans, including tabletop exercises. YOU BRING - 5+ years of IT experience, including 3+ years in enterprise security within cloud environments. - Expertise in IaC tools like Terraform (preferred), Puppet, Chef or Ansible. - Proven ability to lead projects, drive measurable security improvements through automation, leveraging scripting (Python, Go, and/or TypeScript). - Solid understanding of networking, authentication standards, and security frameworks (MITRE ATT&CK, NIST CSF, CIS benchmarks), with hands-on experience in ZTNA and DLP solutions (e.g., Netskope, Zscaler). - Skilled at simplifying technical concepts for non-technical audiences and influencing decisions. - Experience with workflow automation tools like n8n is a plus. TOOLS WE USE We use Typescript front to back, with node and NestJS frameworks for server code and React Native for our iOS, Android, and Web clients. We run on a highly distributed cloud-native stack with Kubernetes and AWS, and scale and resiliency are at the heart of everything we build. We also embrace agentic development, so engineers have their choice of a variety of models and agent harnesses, including Claude Code, Cursor, Codex, and more to fit their workflow. While you don't need experience with our exact stack, familiarity with modern software engineering practices will help you ramp up quickly. WHAT WE OFFER - Competitive base salary, stock options, and health benefits from Day 1 - 401(k) plan with company match - Remote-friendly (US), flexible time off (FTO), and opportunities for growth - A high-growth, mission-driven, inclusive culture where your work has real impact STANDARD INTERVIEW PROCESS Our process varies by role. Most candidates go through: - AI-assisted initial screen - Interview with Talent Partner - Technical or Hiring Manager Interview - Team Interview - Executive Interview - Offer! EQUAL EMPLOYMENT OPPORTUNITY To build technology and products that are used and loved by people and solve real-world problems, we need to build a team with many different perspectives and experiences. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us at talent@onepay.com.

Location: San Francisco, CA • New York, NY • United States Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! The AI Infrastructure team builds the foundational inference systems that sit at the core of Figma’s AI products. Our team is responsible for ensuring products like Figma Make and Figma Agent are highly reliable, easily observable, and can seamlessly leverage the latest cutting-edge models. Our team owns critical production services like our AI gateway, metering systems, and trace infrastructure, as well as our strategy for hosting first-party models. This role is an opportunity to join a rapidly-growing team at the ground floor and directly contribute to our core AI platform. We’re looking for a hands-on engineering leader to support & grow our team, define & execute on our technical strategy, and collaborate with teams across engineering to build best-in-class AI features. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you'll do at Figma: Lead, grow, and support a team of engineers building foundational infrastructure for Figma’s AI products. Partner with engineering and product leaders from across Figma to define the team’s technical strategy and manage the day-to-day project execution. Hire, coach, and develop senior and staff engineers to scale the team. Roll up your sleeves to engage deeply with technical details and decisions as needed in order to help the team deliver on a robust AI platform with urgency. Build an inclusive team and culture through thoughtful team-building and hiring practices. We’d love to hear from you if you have: 3+ years of engineering management experience leading high-performing, fast-moving teams, ideally in the AI space. 8+ years of total engineering experience, ideally reaching a staff engineering level as an individual contributor. Experience working on production AI systems. A proven track record of motivating, mentoring, and growing experienced AI engineering leads. Demonstrated experience learning new AI technologies quickly building technical depth in a new domain. Experience building and scaling engineering teams and org structure as they grow. While it’s not required, it’s an added plus if you also have: Experience building AI agents, agent harnesses/loops, or LLM/agent tooling platforms. Experience building high-scale production infrastructure (e.g., traffic/inference systems, metering, anti-abuse and billing systems). A background in adjacent platform domains, like recommendation systems or networking. At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $258,000 — $376,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: United Kingdom; United States; Poland; Bulgaria Workplace: Remote ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE We are looking for a Research Engineer to join the research team at ElevenLabs, focused on the data infrastructure that powers our frontier AI models. The quality of our models is bounded by the quality and scale of the data behind them, and you will own the systems that make world-class data possible. You will thrive in this role if you enjoy:   - Building large-scale data pipelines for collecting, processing, filtering, and transforming datasets used to train state-of-the-art models. - Training models used in our data processing pipelines, such as classifiers, quality filters, and labeling models. - Designing data curation strategies such as deduplication, quality scoring, labeling, and augmentation that measurably improve model performance. - Creating tooling and infrastructure that lets researchers explore and train on massive datasets quickly and reliably.   REQUIREMENTS We do not require any formal certifications or degrees. Instead, we are seeking enthusiastic engineers who can showcase solving impressively hard problems with artifacts such as past projects, designs, or GitHub contributions. Ideally, you bring:   - Experience building data-intensive systems, ideally in support of machine learning training pipelines. - Strong engineering skills in distributed data processing at scale (e.g., Kubernetes, or custom pipelines over large datasets). - The capacity to autonomously evaluate how data quality, composition, and curation affect model outcomes, and to build the tooling to measure it.   Bonus: Experience building or operating web crawlers.   LOCATION This role is remote and can be executed globally. If you prefer, you can work from our offices in London, New York, San Francisco, and Warsaw.   #LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Location: San Francisco, CA | New York City, NY 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 Anthropic's customer-facing teams are often the first place a customer sees what Claude can do. As a Demo Engineer, you'll build the demos, reference implementations, and reusable tooling that help those teams make new capabilities tangible, relevant, and trustworthy, ideally within days of a product launch rather than weeks after. This role sits between product engineering, technical storytelling, and GTM execution. You'll own ambiguous, high-leverage problems end to end: prototyping an agentic experience for a new capability, then hardening it into something reliable that other teams can run on their own. You'll work closely with Product, Engineering, Marketing, Operations, and our sales and solutions teams, and you'll bring what you learn from customer-facing work back to the people building the products. Because a demo is frequently someone's first impression of what our models can and can't do, accuracy and honesty matter as much as polish. Success in this role looks like customer-facing teams demonstrating new capabilities sooner and with more confidence, recurring requests becoming reusable assets rather than one-off projects, and field insights shaping product and launch-readiness decisions. Responsibilities Own demo readiness for new and priority Claude capabilities, including environments, integrations, synthetic data, evaluations, reliability checks, and fallback paths Build prototypes, agents, and reference flows that make complex capabilities concrete and tie them to clear customer outcomes Turn recurring requests into reusable accelerators such as companion apps, templates, Skills, plugins, and self-service demo packages that scale across customer-facing teams Partner with GTM colleagues on high-impact customer moments, unblock critical technical gaps, and spot the patterns worth turning into shared assets Build internal agentic systems that automate demo preparation, validation, and asset maintenance, so demos stay current as products change Translate patterns from customer-facing work into product feedback, launch-readiness priorities, and systemic improvements with Product and Engineering Define and raise the bar for demo quality across accuracy, safety, reliability, usability, and adoption Decide when a customer need calls for a bespoke build and when it should become a shared capability You may be a good fit if you have Proficiency in Python or TypeScript, with experience shipping working software end to end Hands-on experience building applications or agents on top of LLM APIs, including prompting, tool use, and retrieval Experience designing integrations with third-party APIs, data sources, and services The ability to take an ambiguous capability or customer need to a working prototype quickly, and then make it reliable Clear communication of technical concepts to both technical and non-technical audiences, including sales and solutions teams Comfort collaborating across Product, Engineering, Marketing, Operations, and GTM teams Experience in a demo engineering, solutions engineering, sales engineering, forward deployed engineering, developer relations, or product engineering role A track record of building reusable internal tools, templates, or self-service assets that other teams adopted Hands-on experience with Claude Code, the Claude Agent SDK, the Model Context Protocol (MCP), Skills, or plugins Experience building evaluation or validation harnesses for AI systems, including reliability checks and graceful fallbacks Experience building always-on or scheduled agentic systems that automate internal workflows Experience building synthetic or sanitized datasets that make demos realistic without exposing sensitive information Front-end or product design skills that help demos feel polished and intuitive Experience supporting product launches or running launch-readiness programs A history of turning field feedback into concrete product input that influenced a roadmap A passion for making powerful technology safe and beneficial, and a commitment to representing model capabilities accurately and honestly 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: $240,000 — $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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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, CA Via is on a mission to create public transportation systems that provide far greater access to jobs, healthcare, and education. Our platform serves as the technology backbone for modern transit networks, transforming antiquated and siloed public transportation systems into smart, data-driven, and efficient digital networks. With hundreds of agency partners around the world, Via is recognized as the leading transportation technology and service provider globally. As an Engineering Manager on the Remix team at Via, you will lead a talented full-stack team building the transit planning and scheduling tools that cities rely on to design smarter, more equitable transportation. This is a unique opportunity to combine technical leadership with real-world impact, shipping features that directly shape the daily commute of millions. This is a hybrid position with the expectation that you will be onsite in SF 2-3 days a week. About the Role: Lead and grow a team of full-stack engineers building Remix's fixed route and on demand scheduling and optimization applications that help transit planners explore network concepts, model scenarios, and communicate their vision to stakeholders. Own the technical direction of a product that blends complex geospatial data, rich React UIs, and algorithmic optimizations - balancing performance, usability, and reliability across the full stack. Partner closely with product managers, designers, and customers to deeply understand planner workflows, and translate those insights into engineering priorities and architectural decisions. Mentor engineers at all levels, running thoughtful 1:1s, growing careers, and creating a culture where ownership, curiosity, and feedback are the norm. Drive improvements to engineering processes - from code review standards to CI/CD pipelines, making it easier for the team to ship high-quality features quickly and confidently. Collaborate with other engineering teams across Via to align on shared infrastructure, APIs, and cross-cutting concerns as the platform scales globally. About You: You have a minimum of 8+ years of software engineering experience, with a strong full-stack foundation, ideally across TypeScript/React on the frontend and Rails, Python, or similar on the backend. You've managed engineering teams and know how to build an environment where engineers do their best work through clear expectations, genuine mentorship, and room to grow. You’ve worked on production applications, and have dealt with on-call, deployments and production maintenance. You're comfortable making technical decisions in a complex, data-rich domain. You understand databases, performance tradeoffs, and what it takes to keep a product reliable and fast as usage grows. You lead with curiosity and empathy,  whether you're pairing with an engineer on a tricky bug, presenting a roadmap to stakeholders, or talking directly with customers about their needs. You care about what you build. You're motivated by work that has real-world impact, and you bring that energy to your team. Compensation and Benefits Final salary will be determined by the candidate’s experience, knowledge, and skills. Salary reflected does not include equity or variable pay, where applicable. Salary Range: $215,000-$265,000 We are proud to offer a generous and comprehensive benefits package, including free medical plans, 401K matching, catered lunch on Wednesdays, and many other perks. There has never been a more exciting time to be on the cutting edge of public mobility. Ready to join the ride? Via is an equal opportunity employer.

Location: San Francisco, CA | Seattle, WA | New York City, NY | Washington, DC 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 team Anthropic's Security Governance, Risk, and Compliance (GRC) team is the connective tissue that holds the company accountable to its security commitments. We translate regulatory, customer, and voluntary obligations into controls that teams act on, and give leadership a bird's-eye view of how well we're meeting them. We're building toward a fundamentally different kind of GRC: one that directs Claude, with the right humans in the loop, to challenge and evidence the performance of controls continuously rather than through periodic audits. Within Security GRC, Audit & Assurance runs the integrated audit across our frameworks and maintains the Common Control Framework the program hangs off. This role sits in Audit & Assurance and helps run that integrated audit program, plan the audits we add next, and assess the frameworks and scope changes we are considering. About the role You'll help run Anthropic's unified audit program: quarterly audits across SOC 2, HIPAA and the ISO 27000 family including ISO 42001, plus the rest of our certifications, working with our audit firms, our GRC Partners, and control owners across the company. You'll plan new audits as we expand to new frameworks, platforms and regions, and run the gap assessments that tell us what each expansion takes before we commit to it. You'll help build the audit operating model and runbook, and drive automation in the program so evidence is collected once and reused across frameworks, requests reach control owners once, and each audit cycle takes less effort than the last. Building with Claude is a normal part of the job, with you deciding where human judgment stays in the loop. This is an individual contributor role for someone with program management experience who writes clearly, stays calm under deadlines, and likes making a busy program simpler. Key responsibilities Run the audit program as a program: one integrated plan and calendar across audits and expansions, with milestones, dependencies, risks and decisions tracked, and regular status to GRC leadership and stakeholders Plan and run the quarterly audits, from scoping through report and findings closeout Run audit readiness ahead of each fieldwork window: control owner prep, evidence pre-checks and walkthrough dry runs Scope each audit's boundary with Product and Engineering: which products and deployment paths are in scope, and flag when a launch or new platform changes it Help build the audit operating model and runbook for a unified audit program, and keep both current as the program grows Drive automation in the program: evidence collected from source systems, request tracking and audit reporting, with evidence and walkthroughs reused across frameworks Coordinate audits across frameworks and firms so audit windows line up and control owners are asked for the same evidence once, and drive new ways of automated evidence generation and collection with GRC Engineering Plan new audits and audit expansions as we commit to them Run framework and scope expansion evaluations and gap assessments, with a recommendation and an effort estimate leadership can act on Work closely with control owners and GRC Partners: prepare control owners for audits, get evidence delivered and findings closed, and hand findings that need extended remediation to GRC Partners Manage day-to-day auditor relationships, and report audit status, findings and program metrics to GRC leadership Minimum qualifications Several years of program management: running multi-workstream programs with a plan, milestones, dependencies, risk tracking and status reporting to leadership Several years running external security audits (SOC 2 and ISO 27001 at minimum), on the company side or at an audit firm, including seasons with several frameworks at once Working knowledge of SOC 2, the ISO 27000 family, ISO 42001 and HIPAA, and where their requirements overlap Experience leading a gap assessment for a new framework or scope change and presenting the result to leadership Experience building or improving an audit process: calendars, request tracking, runbooks, roles and responsibilities Enough technical fluency to understand how evidence is produced in cloud environments and to judge whether a system-generated report is complete and accurate, and to build simple automations with Claude Clear writing and calm coordination under deadline pressure Ability to get control owners to deliver on time without authority over them Preferred qualifications Audit firm experience (Big 4 or a SOC 2 or ISO certification body), especially as a senior or manager on technology clients Experience adding new frameworks such as PCI DSS, ISO 27701 or 27018, CSA STAR, or international schemes (for example IRAP, ISMAP or C5) Have automated evidence collection or audit reporting, or use Claude or other LLMs day to day to plan, track and report program work Experience with a GRC platform or building lightweight internal tooling You don't need to Have done everything on this list. The combination is running a global audit calendar well, plus the instinct to make it simpler each cycle Hold every certification. CISA, CISSP, ISO 27001 Lead Auditor or similar are welcome but not required Have prior AI industry experience Deadline to apply: None. Applications will be received on a rolling basis. 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: $255,000 — $270,000 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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, CA 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. Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs. WHAT YOU’LL DO We're hiring a Product Counsel to be a core member of Sierra's growing legal team. This role will report to our Associate General Counsel, Product and Privacy, as part of our growing product legal function. We are looking for someone who has deep expertise in product counseling for AI or other emerging technologies. You will be a legal partner for Sierra’s product and engineering teams, and help shape how our products go to market responsibly, ensuring privacy, compliance, and risk considerations are embedded throughout the product lifecycle. You will thrive in dynamic environments, enjoy tackling challenges beyond your comfort zone, and be excited to contribute across the business. In return, we'll provide the support and opportunities you need to grow and excel as a lawyer. You'll be part of a legal team that is highly respected within the company — committed to excellence, collaboration, and making a meaningful impact. Product - End-to-end responsibility for product legal support: counsel Product and Engineering teams from concept through launch across Sierra's agent platform and new products. - Work closely with Engineering teams to integrate compliance and privacy-by-design principles and AI transparency measures into product development. - Advise the customer-facing Agent Development teams on legal requirements of product features, including consumer protection, telecommunications (e.g., voice and messaging), and industry-specific requirements for regulated customers. - Develop scalable product review processes, launch checklists, and self-serve guidance that let product teams move quickly. Regulatory (with focus on AI) - Advise on emerging AI-specific regulations and their applicability to Sierra's products. - Partner with the privacy team to implement AI governance policies and frameworks to ensure responsible AI deployment. - Monitor legal developments affecting AI products, advising product leadership on risks, trends, and design implications. WHAT YOU’LL BRING - 4+ years of legal experience, with a combination of large international law firm and in-house experience at a tech company. - Experience advising product and engineering teams on new product development, ideally involving AI/ML, communications, or platform products. - Working knowledge of the legal domains that touch product development, including privacy (e.g., GDPR, CCPA), AI regulatory frameworks (e.g., EU AI Act, NIST AI Risk Management Framework), consumer protection, and IP. - Ability to partner with technical teams to understand all aspects of Sierra's product offering. - Strong analytical skills and the ability to balance legal risks and business objectives in a fast-moving environment. - Strong verbal and written communication skills and the ability to partner with both legal and non-legal stakeholders. - A strong work ethic with an eye for detail. You will strive for perfection, and expect that of others. - Be a team player first and foremost. Sierra is a unique place to work, with a strong sense of togetherness, and the legal team is no exception. You will look out for your colleagues, be accustomed to sharing and helping the team succeed. EVEN BETTER… - Experience with voice/telephony products and related regulatory regimes (e.g., TCPA, state call recording laws). - Experience counseling on products sold into regulated industries (healthcare, financial services). - Familiarity with machine learning models and their associated risks. - Previous experience developing trust and safety or responsible AI programs. - Startup experience and comfort with rapid iteration and ambiguity. 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 - Lunch, as well as delicious snacks and coffee to keep you energized when working onsite - 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 employment type, 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 through the link on this page even if your experience doesn't precisely match the job description. Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy. We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.