Вакансии

Location: Renton, Washington, United States We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. At Wizards of the Coast, we connect people around the world through play and imagination. From our genre-defining games like Magic: The Gathering® and Dungeons & Dragons® to our growing multiverse, we continue to innovate and build new ways to foster friendship and connection. That’s where you come in! We’re looking for a Creative Lead to join our Digital Ventures team, reporting to the Head of Franchise Development. You’ll guide the creative direction of a slate of video games based on Wizards IP, built with external developers across mobile and PC/console. The role covers a range of creative and management skills: strategy development, project leadership through external partners, incubation and prototyping. Because this work spans several projects at once, it depends on relationships: earning the trust of partner studios and Wizards teams and leading with integrity on both sides. You’ll bring a clear point of view on the IP and the quality bar and share it in a way partners can build on. This is a hybrid role requiring three days a week in our Renton, WA office, with occasional travel. What You’ll Do: Set and maintain the creative vision for each game, grounded in what players love about our brands, from early concept through launch. Lead and manage projects through multidisciplinary partner teams across game design, narrative, UX, art and audio, with clear feedback, reviews, and approvals. Advocate for quality by setting creative intent and world-class standards for each project. Incubate and prototype new play experiences with our IP, and champion them inside Wizards, from early concepts and pitches through development. Translate franchise direction into materials partners can build from, such as aspirational targets, kickoff guides, guardrails and franchise bibles. Help develop strategy for Wizards IP in games, including which opportunities to pursue, which partners to build them with, and the frameworks Wizards uses to evaluate and support them. What You’ll Bring: 5+ years of director-level creative leadership (creative, design, UX, or a similar role) working with internal and external partners to ship titles on mobile or PC/console. A developer’s understanding of how games are made, from design methodology to craft, and the hands-on design, narrative or art skills to contribute directly when a project needs it. A track record of managing projects through external developers and building strong relationships with them, adapting your direction across studios, cultures, time zones, and matrixed organizations. Sharp judgment on authenticity and quality, and the ability to explain them clearly to partners and leaders. A working knowledge of game industry trends, market analysis, and emerging technology (including AI). Experience turning existing IP into new game concepts and familiarity with Magic: The Gathering, Dungeons & Dragons, or both. Comfort moving between blue-sky concepting, incubation and prototyping, strategy and execution. A self-directed multi-tasker with strong organizational skills and a healthy relationship with feedback. Nice to have: Experience on the licensor or publisher side of a game partnership. Experience with live-service games. A love of our fandoms and the communities around them. Interest in using and learning AI tools like Claude. The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package. Pay Range $150,500 — $235,200 USD Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: Health & Wellness Time Off to Recharge Financial Well-being Life & Family Support Volunteer and Community Initiatives Learning & Development Exclusive Perks Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.

Location: Remote; New York, NY; San Francisco, CA Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. ABOUT THE ROLE Preferable to have someone near an office in NYC or San Francisco, but open to hiring around the world for the right candidate. Runway Creative is an all-in-one platform giving creators and businesses endless ways to generate and edit video, images, and audio. Our user base spans across professional creatives, as well as business owners and enterprise marketing and merchandising teams that come to Runway to generate videos, ads and other content to promote their products and services. We're hiring for a Senior Product Manager to build agent products. You’ll own new product development end-to-end, from customer and technical discovery, to product shaping and viability, to quality and feedback loops that make these products better. You’ll work at the frontier of agentic product development, shaping how Runway Agents help our customers grow their businesses. WHAT YOU’LL DO - Represent the customer: develop deep understanding of creative and marketing workflows through frequent customer engagement; synthesize findings on agent performance and behavior, and lead a team with clarity and conviction. - Lead Agent Development: run user interviews, competitive research, eval analysis, and prompt experimentation. Shape your findings into new product offerings that solve customer problems in new and novel ways. - Own agent quality: create eval infrastructure, monitor regressions, and ensure that agents improves with every release. - Shape the scope: scope ruthlessly to deliver exceptional user value on a fast paced release. - Ship, hands-on. ship your own PRs to improve the product experience. You'll be in the details daily and shipping regularly. - Create compelling launch moments: enable sales, support, and marketing with the context they need to communicate new agent capabilities effectively WHAT YOU’LL NEED - 8+ years in the software industry, with direct ownership of an AI or LLM powered product in a product management or engineering leadership role. A track record of moving revenue and adoption metrics, not just shipping features. - You thrive in an environment with rapid pace and a high accountability culture. You move very fast, make decisions with incomplete information, and instinctively gravitate towards shipping today, not writing docs for tomorrow. - Hands-on experience building and shipping agent-products - you understand tool use, planning loops, multi-step reasoning, and how and why agents fail. You have deep familiarity with prompt engineering and evaluation frameworks. - Excellent written and verbal communication. You can make a sharp, written argument and tell a compelling launch story. You confidently assess the state of the business, call out challenges and articulate your plans to solve them. Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024

Location: USA - Remote Workplace: Remote About Us Since 2013, we’ve been building a CRM that gets out of your way and helps your team sell more, faster. Now we’re building AI into every part of it, so Close does the busywork and your team does the selling. No manual data entry, no 10-click workflows. Just communication-first, AI-powered sales software designed to help you succeed and scale. We're bootstrapped and profitable which means we answer to our customers and play by our rules. We're proud of our 130-person, 100% remote team, focused on building Close so that no small, scaling business fails because it can't figure out sales. ABOUT THE ROLE Close is a CRM built around the communication tools sales teams use every day: email, calling, SMS, workflows, reporting, and AI. Underneath that product is a broad technical surface — Python services and a large application backend, a TypeScript and React frontend, public APIs, Docker and Kubernetes, AWS infrastructure, and integrations with providers that handle sensitive customer data. Security work happens across it all today, but the ownership is spread across Engineering, Infrastructure, and Security & Trust. We’re hiring our first dedicated Product Security Engineer to make that work systematic. You’ll report to the Backend Platform team manager within EPD (Engineering, Product, and Design), while working across the entire product and infrastructure surface. You’ll find vulnerabilities, determine which findings matter most, and drive them through remediation. Often you’ll fix the problem yourself. Other times you’ll give the owning team a clear reproduction, a practical path forward, and enough context to prioritize correctly. You’ll analyze code, build proof-of-concepts, test running applications, tune or replace noisy tools, and automate the repetitive parts of vulnerability management. This is not a role where you forward scanner alerts and call the queue managed. Product and application security will be your responsibility. You’ll partner closely with our Infrastructure team on cloud security, access, and secrets, and with our Security & Trust Lead on GRC Engineering https://grc.engineering/, compliance (SOC 2) goals, audits, and corporate security. This role is a new one at Close. You’ll have significant room to decide where better tooling, clearer ownership, and a small amount of code can reduce the most risk. OUR STACK Our backend is primarily Python, with Flask and FastAPI services and TaskTiger https://github.com/closeio/tasktiger and Temporal handling much of our asynchronous work. We expose REST https://developer.close.com/ and GraphQL APIs and store data in MongoDB, PostgreSQL, Elasticsearch, and Redis. Our frontend is a large single-page TypeScript application built primarily with React. We bundle with Vite, target modern browsers, and test with Vitest, React Testing Library, Playwright, and Chromatic. The product updates in near real time and uses technologies including WebSockets and WebRTC. Our mobile application is built with React Native. We build and test Docker images in CI/CD and continuously deploy them to Kubernetes on AWS. Our infrastructure uses managed services including EKS, MSK, and ElastiCache, alongside services running on EC2. Terraform and Ansible automate much of the underlying infrastructure, and our containerized local development environment lets engineers run the full system on their own machines. For this role, our stack extends beyond simply backend or frontend: browser behavior, frontend state, API authorization, asynchronous processing, data access, third-party integrations, containers, and cloud configuration can all be part of the same attack path. We love open sourcing our code and ideas on our GitHub https://github.com/closeio and on The Making of Close https://making.close.com/, our behind-the-scenes Product & Engineering blog. Check out our open source projects like SocketShark https://github.com/closeio/socketshark, TaskTiger https://github.com/closeio/tasktiger, LimitLion https://github.com/closeio/limitlion and ciso8601 https://github.com/closeio/ciso8601. AI is both how we build and what we ship, and that's reshaped what engineering looks like. This is a transformation we’re embracing and find deeply exciting. YOU ARE - An application security engineer who writes code. You can move from reading an unfamiliar code path, to reproducing an exploit, to proposing or shipping a production-quality fix. Strong Python or TypeScript experience would be especially useful; fluency across both backend and frontend systems is even better. - Skilled at finding vulnerabilities conventional scanners may miss. You use modern AI-assisted review pipelines, guided by expert judgment, to uncover subtle flaws in web apps and APIs—from authentication, authorization, and tenant isolation to injection, SSRF, unsafe data flows, and business logic. You can threat-model designs, white-box review code, and test running systems. - Offensive-minded and operationally responsible. You know how to test like an attacker without being careless with customer data or production systems. You can turn a finding into a safe reproduction, assess exploitability and business impact, and retest the eventual fix. - An automation builder. You have worked with some mix of SAST, DAST, software composition analysis, container scanning, secrets scanning, or cloud posture tooling. More importantly, you know how to tune tools, connect them to engineering workflows, and remove noise. - AI-native and accountable. You use coding agents and LLMs to accelerate investigation, code review, and repetitive engineering work, but you verify their output. You think carefully about what happens when agents clone untrusted code, install dependencies, or receive access to credentials. - Able to separate severity from priority. A score is an input, not a foregone conclusion. You consider reachability, existing controls, customer impact, and attack chains, then explain the risk in language that is legible to an engineer or business owner. - Comfortable working across the business. You’ll collaborate with product engineers, Site Reliability Engineers, Security & Trust Lead, auditors, and external researchers without confusing partnership for pass-off ownership. You will follow findings to closure even when another team is responsible for the fix. - Self-directed in a remote environment. You can take an ambiguous surface (say, secret rotation or dependency remediation) and learn how it works across multiple systems then turn it into a practical plan with measurable progress. You do not need to arrive as the deepest expert in every part of this scope. You do need to be able to investigate an unfamiliar system, determine what matters, and bring the right people with you. YOU WILL The work spans hands-on application security, security automation, vulnerability management, and infrastructure partnership. Depending on where you find the greatest risk and leverage, projects could include: - Build a recurring product security review program. Threat model new features, audit high-risk areas, review code, and build safe proof-of-concepts in isolated development environments. Work across our backend, frontend, APIs, and customer-facing integrations. - Improve application security testing. Combine static analysis, dependency and secrets scanning, dynamic testing in development, and carefully scoped production testing. Use existing tools where they fit and build focused automation where they don’t. - Own vulnerability intake and remediation. Triage findings from HackerOne, scanners, penetration tests, audits, customers, and internal research. Reproduce issues, assess exploitability and impact, track remediation, and verify fixes. Serve as technical lead for our bug bounty program while contract and budget ownership remain elsewhere. - Turn security alerts into useful engineering work. Verify scanner coverage and automate ingestion, deduplication, enrichment, prioritization, and routing—so teams spend less time interpreting alerts and more time fixing important issues. - Make dependency remediation safer and less manual. Improve scanning across our Python and TypeScript codebases, then build workflows to assess upgrades, stage pull requests, run checks, and route work without exposing credentials to untrusted packages or build steps. - Make secrets routinely rotatable. Partner with service owners and Infrastructure to inventory application secrets, add graceful rotation paths, document provider-specific runbooks, and automate rotation where the provider and risk justify it. Expand our use of Vault-backed dynamic credentials and reduce the number of rotations that require a coordinated fire drill. - Strengthen AWS security with Infrastructure. Evaluate and improve automated detection of risky configuration across identity, networking, compute, storage, containers, and registries. Turn findings into secure defaults, just-in-time access patterns, infrastructure guardrails, and actionable remediation—not build a second Infrastructure team. - Support audits and raising the security floor. Partner with Security & Trust on external assessments, provide technical context, and ensure findings are fixed rather than rediscovered. Along the way, create documentation, paved roads, and lightweight training that helps engineers make safer choices without waiting for a security review. - Take a key technical role in security incident response. Partner with Engineering and Infrastructure to coordinate investigation, containment, and remediation. Contribute to root-cause analysis and follow-up improvements, translating lessons learned into stronger controls and reduced recurrence. Tech you’ll touch: Python, TypeScript, React, Flask, FastAPI, GraphQL, Docker, Kubernetes, AWS, Vault, GitHub Actions, MongoDB, PostgreSQL, Redis, Kafka, Elasticsearch and the security tooling you help us choose. BENEFITS - Compensation: Competitive pay plus an organization-wide goal-based bonus - Paid Time Off: ~5 weeks of PTO to start. Plus a 1-week all-company Winter Holiday Break and paid US holidays. You'll earn 2 extra days for every year you're with Close. - 80% Work Option: Work with your manager to choose between a standard 5-day week or a 4-day week at 80% pay - Parental Leave: Paid leave for primary and secondary caregivers - Sabbatical: A 1-month paid sabbatical every 5 years with the team - Healthcare (US residents): Two medical plans with Close covering the majority of your premium, plus Dental, Vision, HSA, FSA, and company-paid Long-Term Disability - 401k (US residents): We match your contributions up to 6%, vested immediately OUR VALUES Build a house you want to live in - Examine long-term thinking and action No BS - Practice transparency and honesty, especially when it’s hard Invest in each other - Build successful relationships with your coworkers and customers Discipline equals freedom - Keep your word to yourself and others Strive for greatness - Constantly challenge yourself and others LEARN MORE Listen to our CEO and Founder, Steli Efti, tell the story of Close’s journey in the $0-30m Blueprint https://www.close.com/blueprint.  Watch our culture video https://www.youtube.com/watch?v=maXKi1GN2MI from our 2023 team retreat in Milan. Every year our entire team gathers in person to build connection, foster cross-functional collaboration, and have fun. In 2027, we're headed to Dusseldorf, Germany! Explore our product. Check out a demo https://www.close.com/demo-site! OUR HIRING PROCESS We ask a few role-specific questions as part of our application process. These questions are designed to help us learn more about you from the start, so please answer each one thoughtfully. We see this as an opportunity to get to know you beyond your resume. We use AI tools daily at Close and expect candidates to do the same. In evaluating your application, we aim to get a sense for you - the way you think, how you communicate, the work you've done. Applications that read as fully AI-generated will not be considered. Regardless of fit, you can expect to hear back from our team with an update on the status of your candidacy. If you progress to the interview process, you'll receive a full outline of the role-specific steps in your first touchpoint with us. We do our best to make the hiring process clear and human.

Location: Dubai, United Arab Emirates Workplace: remote Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry. If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you. Are you ready to be part of the future? About the job QV.AC is a general purpose AI assistant that runs locally on your devices, it gives users greater control over their data and how they use artificial intelligence. Our focus is on local, on-device, and privacy-preserving AI, with opportunities to connect these experiences across Tether’s peer-to-peer ecosystem. We’re looking for a Product Manager with a strong interest in AI and a practical understanding of how to turn emerging capabilities into useful products. You will work closely with the Product Lead to help advance the QV.AC vision: identifying valuable use cases, defining AI features, exploring product concepts, and working with engineering and design to bring them to users. You’ll contribute to product direction and take responsibility for moving assigned features from discovery through delivery and iteration. This role suits someone who knows how to leverage AI to the maximum and enjoys experimenting with new AI technologies, understands its possibilities and limitations, and cares about making complex technology easy to use. Responsibilities Help shape AI features: Work with the Product Lead to translate the QV.AC vision into concrete use cases, feature proposals, and product requirements. Bring ideas grounded in user needs, research, and hands-on experimentation. Understand users and their problems: Gather feedback, conduct research, and explore how people use AI in their everyday workflows. Identify where AI can solve a meaningful problem and where a simpler solution may work better. Turn ideas into clear specifications: Write product briefs, user stories, acceptance criteria, and user flows that help engineering and design understand the intended experience, constraints, and measures of success. Prototype and explore: Create wireframes, mockups, and working prototypes to test ideas and communicate product behavior. Use AI-assisted tools to explore concepts quickly and refine them with the team. Collaborate on technical trade-offs: Work with engineers to understand what is feasible across devices and models. Help assess the impact of response quality, latency, memory usage, battery consumption, and privacy on the user experience. Support prioritization and planning: Help the Product Lead evaluate opportunities, clarify scope, identify dependencies, and maintain a focused backlog aligned with product priorities. Drive feature delivery: Follow assigned features through development, resolve product questions, review the experience, and coordinate feedback and release readiness with relevant teams. Stay close to AI developments: Explore new AI products, models, tools, and interaction patterns, and explain their practical relevance to QV.AC . Share clear recommendations about what is worth testing or adopting and why. Mandatory: 7+ years of product management experience, ideally working on AI software products with technical engineering teams. Practical experience building, shipping, or prototyping AI-powered features, with the ability to explain your contribution and what you learned. A working understanding of AI concepts such as inference, harnesses, model capabilities and limitations, context, and evaluation, alongside an interest in local and on-device AI. The ability to translate an ambiguous idea into a clear user problem, proposed solution, and actionable requirements. Strong product judgment, with attention to usability, scope, and measurable user value. Confidence creating prototypes using design or coding tools Clear written and verbal communication, including the ability to discuss technical trade-offs with engineers and explain them to non-technical colleagues. A proactive, collaborative approach: comfortable taking responsibility for your work, asking questions early, and incorporating feedback. Familiarity with product analytics, user research, and iterative software development. Preferred: Experience with local AI, on-device inference, or open-source models. Experience building AI assistants, conversational interfaces, or multimodal features. Familiarity with desktop or mobile product development. An understanding of peer-to-peer technologies and decentralized applications. Experience evaluating AI output quality and designing user experiences that account for uncertainty and errors. Experience working in a distributed team. Important information for candidates Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles: Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/ Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website. Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms. Double-check email addresses. All communication from us will come from emails ending in @ tether.to or @ tether.io We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately. When in doubt, feel free to reach out through our official website.

Location: United States of America What We Do: Cybercrime is growing, and more businesses are getting hit by threats that used to target only the biggest organizations. That pushes defenders like us to operate at the highest level, and it deepens our need for good people who want to make a meaningful impact. Founded in 2015 by former NSA cyber operators, Huntress is a remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all sizes. We work closely with security teams and service providers protecting complex environments, often without the time or headcount to handle it all. That’s why we build our technology in-house and back it with a 24/7 human-led Security Operations Center (SOC). As a result, our platform is never disconnected from the experts who manage it, ensuring our customers' protection. Huntress now secures more than 6M endpoints and 16M identities worldwide. Those numbers keep growing because more businesses rely on us to help carry the load and operate with more confidence. Every day, you can see that commitment in how we stand with our customers and how we show up for each other. Reports to: Director, Engineering Location: Remote US, Only Compensation: $215,000 to $240,000 base plus bonus and equity What You’ll Do: Huntress is building an Agentic SOC. When our detection pipeline raises a signal, an LLM-based agent picks it up and investigates it end-to-end. It gathers telemetry across our products, reconstructs what happened, and makes a well-documented determination about whether the activity is malicious. Over time, it will take on more of the work itself, growing from resolving routine cases to acting fast when it finds an attack and handing analysts cases with the evidence already assembled. We’re hiring a Principal Software Engineer to head this effort. This system is meant to augment our analysts, not replace them. It takes the high-volume, repetitive work off their plates so they can focus on complex cases and hands-on keyboard intrusions where human expertise matters most. It also reduces toil in the rest of their day by using LLMs to pre-process the output of the tools analysts use constantly, so they start from a clear picture instead of raw telemetry. This isn’t a chatbot bolted onto a dashboard. The system investigates a large volume of signals a day across thousands of customer organizations. Many signals are benign, but some are live intrusions where minutes matter. The telemetry the system reads comes from environments in which attackers are actively operating. Because the system makes real decisions, like closing an investigation or isolating a host, it has to be right, it has to show its work, and it has to know when to hand off to a person. As the technical lead, you’ll own the system’s architecture and direction. That means deciding how an investigation is structured, where deterministic code ends and model reasoning begins, what the agent can and can’t touch, how we know it’s working, and which decisions it makes on its own as it proves itself. You’ll work closely with SOC analysts, detection engineers, product, and other engineering teams. You’ll go deep in the code and help the engineers around you grow. Your work will directly shape how Huntress scales protection for the 99% . We make full use of AI coding tools to enable you to accelerate your development. We don’t cap token usage. We expect you to use AI and all tools responsibly. Responsibilities: Own the architecture of agentic investigation. You help define how signals move from detection into investigation, how investigation state is managed, how tools are designed and exposed to agents, and what a finished investigation contains: the verdict, the timeline, the scope, and the evidence behind every claim. When the team is stuck between options, you make the call, and the foundations you set are what others build on for years. Build agents that investigate like a strong analyst. You work alongside our SOC and product researchers to learn how experienced analysts actually triage and investigate, then turn that into agent behavior: which questions to ask, which evidence to gather, when to dig deeper, and when to stop and hand off to a human. Take toil off analysts’ plates. Beyond full investigations, you build LLM-powered pre-processing for the tools and data sources analysts rely on every day. It summarizes, correlates, and highlights what matters, so analysts spend their time on judgment instead of assembly. Bring a security mindset to the agent itself. The agent reads attacker-influenced data, runs across thousands of customer tenants, and can take action in customer environments. You design as if someone is trying to manipulate it, because someone will. Trust boundaries, tenant isolation, and auditability are part of the architecture from the start. Treat evaluation as a core part of the product. You define how we measure whether an investigation is correct, well-reasoned, and well-documented, and you make sure no prompt, model, or tool changes without evidence that it helps. Decide with data what the system does on its own. Based on measured performance, you decide where it acts autonomously, where a person reviews its work, and how that changes over time. You also recognize when a problem doesn’t need an agent at all. Build for production, not for demos. You design for reliability, latency, and cost at scale. The system keeps working when models are slow, wrong, unavailable, or quietly changed underneath you, and anyone can trace exactly why an investigation reached its conclusion or why an action was taken. Augment analysts, don’t replace them. You design the handoff between agent and analyst so that when a case reaches a person, the agent’s work makes them faster and better informed. You consider how analysts’ work changes as agents take on more of it, and how we explain agent decisions to partners and customers in a way they can trust. Prototype your way through hard problems. When the team hits something genuinely uncertain, you dig in first: derisk it, prove out the approach, then hand it off clearly. Be the engineering face of the Agentic SOC. In conversations with SOC leadership, other engineering teams, product, and executives, you represent the team’s technical perspective clearly and credibly. You drive alignment on key decisions, carry context in both directions, and protect the team from unclear scope. Balance technical rigor with pragmatism. You push back when a shortcut creates real risk, and you also push back on over-engineering when the goal is discovery. You have a bias for action and frequent feedback from analysts and customers, and you can explain your tradeoffs to engineers and non-engineers alike. Raise the floor and the ceiling. Your technical leadership is measured by how the whole team performs, not just by what you personally ship. That shows up in thoughtful code review, pairing on problems others are stuck on, and creating leverage through better patterns, tooling, and shared understanding. You partner with the engineering manager on team health, give direct feedback, and model the judgment and accountability you want the team to have. What You Bring To The Team: 15+ years of experience developing complex software products, including significant time as the technical lead on production systems Hands-on experience designing, shipping, and operating LLM-based agents in production, covering tool use, context management, structured output, guardrails, and evaluation, along with a clear-eyed understanding of how they fail A track record of building evaluation for non-deterministic systems, such as labeled datasets, offline evals, and regression gates, and of measuring quality over time rather than at launch A security mindset: experience building systems that handle untrusted input, enforce multi-tenant isolation, and produce an audit trail that holds up under scrutiny Experience building systems that make automated decisions with real consequences, and the judgment to know what to automate and what to leave to people Curiosity about how security analysts think and work, and a willingness to spend real time learning from them Deep backend expertise in distributed systems, queues, and durable workflows, and concurrency, with a track record of designing for throughput and correctness under load Strong skills in one or more backend languages and the ability to pick up new ones quickly. Our primary stack is Ruby on Rails, and we expect you to become fluent in it Experience with AWS, Azure, or other public cloud environments, and with data stores such as Postgres and Redis Experience with AI coding tools, such as Claude Code BS or MS in Computer Science or Engineering, or equivalent experience Bonus Points: Experience working in or building for a SOC, incident response, threat hunting, or detection engineering. It isn’t required, but it helps a lot, because we build these workflows around how our analysts actually investigate Familiarity with endpoint and identity telemetry and with attacker tradecraft Experience attacking or adversarially testing ML or LLM systems Experience with Ruby on Rails What We Offer: 100% remote work environment - since our founding in 2015 Generous paid time off policy, including vacation, sick time, and paid holidays 12 weeks of paid parental leave Highly competitive and comprehensive medical, dental, and vision benefits plans 401(k) with a 5% contribution regardless of employee contribution Life and Disability insurance plans Stock options for all full-time employees One-time $500 reimbursement for building/upgrading home office Annual allowance for education and professional development assistance $75 USD/month digital reimbursement Access to the BetterUp platform for coaching, personal, and professional growth Huntress is committed to creating a culture of inclusivity where every single member of our team is valued, has a voice, and is empowered to come to work every day just as they are. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, disability, veteran status, genetic information, marital status, or any other legally protected status. We do discriminate against hackers who try to exploit businesses of all sizes. Accommodations: If you require reasonable accommodation to complete this application, interview, or pre-employment testing or participate in the employee selection process, please direct your inquiries to accommodations@huntresslabs.com . Please note that non-accommodation requests to this inbox will not receive a response. Huntress uses artificial intelligence tools to assist in reviewing and evaluating job applications, including resume screening, skills assessment, and candidate matching and comparisons. These AI tools support our human recruiters in the initial review process, but do not make final hiring decisions without human involvement. By submitting your application, you acknowledge this use of AI in our recruitment process. Please review our Candidate Privacy Notice for more details on our practices and your data privacy rights. #BI-Remote

Location: Dublin, Ireland Workplace: remote Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry. If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you. Are you ready to be part of the future? About the job QV.AC is a general purpose AI assistant that runs locally on your devices, it gives users greater control over their data and how they use artificial intelligence. Our focus is on local, on-device, and privacy-preserving AI, with opportunities to connect these experiences across Tether’s peer-to-peer ecosystem. We’re looking for a Product Manager with a strong interest in AI and a practical understanding of how to turn emerging capabilities into useful products. You will work closely with the Product Lead to help advance the QV.AC vision: identifying valuable use cases, defining AI features, exploring product concepts, and working with engineering and design to bring them to users. You’ll contribute to product direction and take responsibility for moving assigned features from discovery through delivery and iteration. This role suits someone who knows how to leverage AI to the maximum and enjoys experimenting with new AI technologies, understands its possibilities and limitations, and cares about making complex technology easy to use. Responsibilities Help shape AI features: Work with the Product Lead to translate the QV.AC vision into concrete use cases, feature proposals, and product requirements. Bring ideas grounded in user needs, research, and hands-on experimentation. Understand users and their problems: Gather feedback, conduct research, and explore how people use AI in their everyday workflows. Identify where AI can solve a meaningful problem and where a simpler solution may work better. Turn ideas into clear specifications: Write product briefs, user stories, acceptance criteria, and user flows that help engineering and design understand the intended experience, constraints, and measures of success. Prototype and explore: Create wireframes, mockups, and working prototypes to test ideas and communicate product behavior. Use AI-assisted tools to explore concepts quickly and refine them with the team. Collaborate on technical trade-offs: Work with engineers to understand what is feasible across devices and models. Help assess the impact of response quality, latency, memory usage, battery consumption, and privacy on the user experience. Support prioritization and planning: Help the Product Lead evaluate opportunities, clarify scope, identify dependencies, and maintain a focused backlog aligned with product priorities. Drive feature delivery: Follow assigned features through development, resolve product questions, review the experience, and coordinate feedback and release readiness with relevant teams. Stay close to AI developments: Explore new AI products, models, tools, and interaction patterns, and explain their practical relevance to QV.AC . Share clear recommendations about what is worth testing or adopting and why. Mandatory: 7+ years of product management experience, ideally working on AI software products with technical engineering teams. Practical experience building, shipping, or prototyping AI-powered features, with the ability to explain your contribution and what you learned. A working understanding of AI concepts such as inference, harnesses, model capabilities and limitations, context, and evaluation, alongside an interest in local and on-device AI. The ability to translate an ambiguous idea into a clear user problem, proposed solution, and actionable requirements. Strong product judgment, with attention to usability, scope, and measurable user value. Confidence creating prototypes using design or coding tools Clear written and verbal communication, including the ability to discuss technical trade-offs with engineers and explain them to non-technical colleagues. A proactive, collaborative approach: comfortable taking responsibility for your work, asking questions early, and incorporating feedback. Familiarity with product analytics, user research, and iterative software development. Preferred: Experience with local AI, on-device inference, or open-source models. Experience building AI assistants, conversational interfaces, or multimodal features. Familiarity with desktop or mobile product development. An understanding of peer-to-peer technologies and decentralized applications. Experience evaluating AI output quality and designing user experiences that account for uncertainty and errors. Experience working in a distributed team. Important information for candidates Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles: Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/ Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website. Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms. Double-check email addresses. All communication from us will come from emails ending in @ tether.to or @ tether.io We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately. When in doubt, feel free to reach out through our official website.

Location: Lugano, Switzerland Workplace: remote Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry. If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you. Are you ready to be part of the future? About the job QV.AC is a general purpose AI assistant that runs locally on your devices, it gives users greater control over their data and how they use artificial intelligence. Our focus is on local, on-device, and privacy-preserving AI, with opportunities to connect these experiences across Tether’s peer-to-peer ecosystem. We’re looking for a Product Manager with a strong interest in AI and a practical understanding of how to turn emerging capabilities into useful products. You will work closely with the Product Lead to help advance the QV.AC vision: identifying valuable use cases, defining AI features, exploring product concepts, and working with engineering and design to bring them to users. You’ll contribute to product direction and take responsibility for moving assigned features from discovery through delivery and iteration. This role suits someone who knows how to leverage AI to the maximum and enjoys experimenting with new AI technologies, understands its possibilities and limitations, and cares about making complex technology easy to use. Responsibilities Help shape AI features: Work with the Product Lead to translate the QV.AC vision into concrete use cases, feature proposals, and product requirements. Bring ideas grounded in user needs, research, and hands-on experimentation. Understand users and their problems: Gather feedback, conduct research, and explore how people use AI in their everyday workflows. Identify where AI can solve a meaningful problem and where a simpler solution may work better. Turn ideas into clear specifications: Write product briefs, user stories, acceptance criteria, and user flows that help engineering and design understand the intended experience, constraints, and measures of success. Prototype and explore: Create wireframes, mockups, and working prototypes to test ideas and communicate product behavior. Use AI-assisted tools to explore concepts quickly and refine them with the team. Collaborate on technical trade-offs: Work with engineers to understand what is feasible across devices and models. Help assess the impact of response quality, latency, memory usage, battery consumption, and privacy on the user experience. Support prioritization and planning: Help the Product Lead evaluate opportunities, clarify scope, identify dependencies, and maintain a focused backlog aligned with product priorities. Drive feature delivery: Follow assigned features through development, resolve product questions, review the experience, and coordinate feedback and release readiness with relevant teams. Stay close to AI developments: Explore new AI products, models, tools, and interaction patterns, and explain their practical relevance to QV.AC . Share clear recommendations about what is worth testing or adopting and why. Mandatory: 7+ years of product management experience, ideally working on AI software products with technical engineering teams. Practical experience building, shipping, or prototyping AI-powered features, with the ability to explain your contribution and what you learned. A working understanding of AI concepts such as inference, harnesses, model capabilities and limitations, context, and evaluation, alongside an interest in local and on-device AI. The ability to translate an ambiguous idea into a clear user problem, proposed solution, and actionable requirements. Strong product judgment, with attention to usability, scope, and measurable user value. Confidence creating prototypes using design or coding tools Clear written and verbal communication, including the ability to discuss technical trade-offs with engineers and explain them to non-technical colleagues. A proactive, collaborative approach: comfortable taking responsibility for your work, asking questions early, and incorporating feedback. Familiarity with product analytics, user research, and iterative software development. Preferred: Experience with local AI, on-device inference, or open-source models. Experience building AI assistants, conversational interfaces, or multimodal features. Familiarity with desktop or mobile product development. An understanding of peer-to-peer technologies and decentralized applications. Experience evaluating AI output quality and designing user experiences that account for uncertainty and errors. Experience working in a distributed team. Important information for candidates Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles: Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/ Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website. Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms. Double-check email addresses. All communication from us will come from emails ending in @ tether.to or @ tether.io We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately. When in doubt, feel free to reach out through our official website.

Location: Australia, Adelaide Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. About the role We are looking for a Staff Software Engineer to help shape and build the next generation of our network automation platforms. Our challenge is one of scale, complexity and criticality. We operate a massive global network supporting PlayStation Network, spanning more than 40 interconnection locations and 20+ data centres worldwide. Operating infrastructure at this scale safely and efficiently requires us to move beyond specialist-driven workflows and individual automation tools toward reliable, declarative software platforms. You will help make that transition. You will work on software that turns complex network and infrastructure operations into reliable, API-driven and increasingly self-service capabilities. This includes building control-plane services, declarative APIs and intent-based controllers that manage production infrastructure safely and consistently across our global footprint. This is a Staff-level engineering role with significant technical influence. You will combine hands-on engineering with setting technical direction: defining architectures, solving complex cross-system and distributed-systems problems, writing designs, driving alignment with senior engineers and architects, and mentoring engineers across the team. Your work will directly influence how one of the world's largest gaming networks is operated and automated, while establishing engineering patterns and platforms that can be reused across multiple network domains and services. What you'll do Provide technical leadership and architectural direction for network automation and infrastructure control platforms, treating the self-service network API as a product by working with users and partner teams to define outcomes, establish clear expectations for API behavior and reliability, align on team responsibilities, and ensure those commitments are met. Use domain-driven design with network experts, software engineers and API consumers to establish shared language and bounded contexts, then turn those agreements into versioned, testable contracts. Design and build APIs, services, controllers and reconciliation workflows that manage production infrastructure safely at scale. Build on the Kubernetes API, including custom resources and control loops that continuously converge actual state toward declared intent. Own the operational Kubernetes path: CRD rollout, RBAC and admission, controller health, Helm packaging, deployment drift and incident diagnosis. Design distributed workflows that operate correctly under eventual consistency, at-least-once delivery, concurrent writes and partial failure, with idempotency and safe recovery as fundamental properties. Design stable APIs, schemas and data models used across team boundaries, including versioning and backwards compatibility. Develop patterns for multi-tenant infrastructure platforms, including tenant isolation, authorization, policy enforcement and safe automation boundaries. Establish strong approaches to testing, observability and change safety for software that changes live infrastructure. Improve software delivery practices through automated CI gates, versioned artifacts, controlled promotion, and safe deployment and recovery strategies. Lead complex migrations and modernization of existing automation, services and data models, evaluating when components should be evolved, replaced or rewritten, and ensuring safe coexistence, behavioral compatibility and retirement of legacy paths. Drive technical alignment across software engineering, networking, operations and architecture teams; lead decisions within your area of accountability, contribute constructively to decisions owned by others, and make technology choices based on long-term company and product value. Mentor engineers, lead technical and design reviews, and raise software engineering standards across the wider organization. What we're looking for Must have Deep expertise in a backend language such as Python, Go, Rust or Java, including asynchronous concurrency, static typing, data modelling and validation, API development, packaging and tooling. Strong experience building Kubernetes controllers or operators, including custom resources and reconciliation/control-loop patterns. Strong experience building event-driven distributed systems, particularly eventual consistency, at-least-once delivery, idempotency, optimistic concurrency and partial-failure handling. Experience designing and building self-service, multi-tenant platforms, including tenant isolation, policy and access control. Strong API and schema design skills, including versioning and schema evolution for interfaces consumed by other teams and systems. Demonstrated technical leadership across team boundaries, including driving architectural designs, building agreement among senior technical stakeholders and mentoring other engineers. A track record of taking ambiguous, technically complex problems from architecture through to reliable production systems that manage large-scale infrastructure, such as networks, compute or cloud resources. Nice to have Networking fundamentals, particularly BGP, IP fabrics and VXLAN/EVPN/L3VPN. Working knowledge of Go, sufficient to understand and contribute to adjacent services and controllers. Experience designing testing and observability strategies for production infrastructure automation, including systems and backends that cannot be fully reproduced in CI. Experience with graph databases, or with source-of-truth systems that model infrastructure and its relationships. The impact You will help establish the architecture and engineering practices behind a new generation of network automation, moving from individual scripts and specialist-driven workflows toward declarative, model-driven and reliable platforms. At Staff level, your impact is expected to extend beyond the code you personally deliver. You will help shape the APIs and designs other teams build on, develop other engineers, and establish technical patterns that can be reused across multiple network domains and services. Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Tbilisi, Georgia Workplace: remote Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry. If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you. Are you ready to be part of the future? About the job QV.AC is a general purpose AI assistant that runs locally on your devices, it gives users greater control over their data and how they use artificial intelligence. Our focus is on local, on-device, and privacy-preserving AI, with opportunities to connect these experiences across Tether’s peer-to-peer ecosystem. We’re looking for a Product Manager with a strong interest in AI and a practical understanding of how to turn emerging capabilities into useful products. You will work closely with the Product Lead to help advance the QV.AC vision: identifying valuable use cases, defining AI features, exploring product concepts, and working with engineering and design to bring them to users. You’ll contribute to product direction and take responsibility for moving assigned features from discovery through delivery and iteration. This role suits someone who knows how to leverage AI to the maximum and enjoys experimenting with new AI technologies, understands its possibilities and limitations, and cares about making complex technology easy to use. Responsibilities Help shape AI features: Work with the Product Lead to translate the QV.AC vision into concrete use cases, feature proposals, and product requirements. Bring ideas grounded in user needs, research, and hands-on experimentation. Understand users and their problems: Gather feedback, conduct research, and explore how people use AI in their everyday workflows. Identify where AI can solve a meaningful problem and where a simpler solution may work better. Turn ideas into clear specifications: Write product briefs, user stories, acceptance criteria, and user flows that help engineering and design understand the intended experience, constraints, and measures of success. Prototype and explore: Create wireframes, mockups, and working prototypes to test ideas and communicate product behavior. Use AI-assisted tools to explore concepts quickly and refine them with the team. Collaborate on technical trade-offs: Work with engineers to understand what is feasible across devices and models. Help assess the impact of response quality, latency, memory usage, battery consumption, and privacy on the user experience. Support prioritization and planning: Help the Product Lead evaluate opportunities, clarify scope, identify dependencies, and maintain a focused backlog aligned with product priorities. Drive feature delivery: Follow assigned features through development, resolve product questions, review the experience, and coordinate feedback and release readiness with relevant teams. Stay close to AI developments: Explore new AI products, models, tools, and interaction patterns, and explain their practical relevance to QV.AC . Share clear recommendations about what is worth testing or adopting and why. Mandatory: 7+ years of product management experience, ideally working on AI software products with technical engineering teams. Practical experience building, shipping, or prototyping AI-powered features, with the ability to explain your contribution and what you learned. A working understanding of AI concepts such as inference, harnesses, model capabilities and limitations, context, and evaluation, alongside an interest in local and on-device AI. The ability to translate an ambiguous idea into a clear user problem, proposed solution, and actionable requirements. Strong product judgment, with attention to usability, scope, and measurable user value. Confidence creating prototypes using design or coding tools Clear written and verbal communication, including the ability to discuss technical trade-offs with engineers and explain them to non-technical colleagues. A proactive, collaborative approach: comfortable taking responsibility for your work, asking questions early, and incorporating feedback. Familiarity with product analytics, user research, and iterative software development. Preferred: Experience with local AI, on-device inference, or open-source models. Experience building AI assistants, conversational interfaces, or multimodal features. Familiarity with desktop or mobile product development. An understanding of peer-to-peer technologies and decentralized applications. Experience evaluating AI output quality and designing user experiences that account for uncertainty and errors. Experience working in a distributed team. Important information for candidates Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles: Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/ Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website. Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms. Double-check email addresses. All communication from us will come from emails ending in @ tether.to or @ tether.io We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately. When in doubt, feel free to reach out through our official website.

Location: Lisbon, Portugal Workplace: remote Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry. If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you. Are you ready to be part of the future? About the job QV.AC is a general purpose AI assistant that runs locally on your devices, it gives users greater control over their data and how they use artificial intelligence. Our focus is on local, on-device, and privacy-preserving AI, with opportunities to connect these experiences across Tether’s peer-to-peer ecosystem. We’re looking for a Product Manager with a strong interest in AI and a practical understanding of how to turn emerging capabilities into useful products. You will work closely with the Product Lead to help advance the QV.AC vision: identifying valuable use cases, defining AI features, exploring product concepts, and working with engineering and design to bring them to users. You’ll contribute to product direction and take responsibility for moving assigned features from discovery through delivery and iteration. This role suits someone who knows how to leverage AI to the maximum and enjoys experimenting with new AI technologies, understands its possibilities and limitations, and cares about making complex technology easy to use. Responsibilities Help shape AI features: Work with the Product Lead to translate the QV.AC vision into concrete use cases, feature proposals, and product requirements. Bring ideas grounded in user needs, research, and hands-on experimentation. Understand users and their problems: Gather feedback, conduct research, and explore how people use AI in their everyday workflows. Identify where AI can solve a meaningful problem and where a simpler solution may work better. Turn ideas into clear specifications: Write product briefs, user stories, acceptance criteria, and user flows that help engineering and design understand the intended experience, constraints, and measures of success. Prototype and explore: Create wireframes, mockups, and working prototypes to test ideas and communicate product behavior. Use AI-assisted tools to explore concepts quickly and refine them with the team. Collaborate on technical trade-offs: Work with engineers to understand what is feasible across devices and models. Help assess the impact of response quality, latency, memory usage, battery consumption, and privacy on the user experience. Support prioritization and planning: Help the Product Lead evaluate opportunities, clarify scope, identify dependencies, and maintain a focused backlog aligned with product priorities. Drive feature delivery: Follow assigned features through development, resolve product questions, review the experience, and coordinate feedback and release readiness with relevant teams. Stay close to AI developments: Explore new AI products, models, tools, and interaction patterns, and explain their practical relevance to QV.AC . Share clear recommendations about what is worth testing or adopting and why. Mandatory: 7+ years of product management experience, ideally working on AI software products with technical engineering teams. Practical experience building, shipping, or prototyping AI-powered features, with the ability to explain your contribution and what you learned. A working understanding of AI concepts such as inference, harnesses, model capabilities and limitations, context, and evaluation, alongside an interest in local and on-device AI. The ability to translate an ambiguous idea into a clear user problem, proposed solution, and actionable requirements. Strong product judgment, with attention to usability, scope, and measurable user value. Confidence creating prototypes using design or coding tools Clear written and verbal communication, including the ability to discuss technical trade-offs with engineers and explain them to non-technical colleagues. A proactive, collaborative approach: comfortable taking responsibility for your work, asking questions early, and incorporating feedback. Familiarity with product analytics, user research, and iterative software development. Preferred: Experience with local AI, on-device inference, or open-source models. Experience building AI assistants, conversational interfaces, or multimodal features. Familiarity with desktop or mobile product development. An understanding of peer-to-peer technologies and decentralized applications. Experience evaluating AI output quality and designing user experiences that account for uncertainty and errors. Experience working in a distributed team. Important information for candidates Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles: Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/ Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website. Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms. Double-check email addresses. All communication from us will come from emails ending in @ tether.to or @ tether.io We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately. When in doubt, feel free to reach out through our official website.

Location: Barcelona, Spain; Madrid, Spain Workplace: remote Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry. If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you. Are you ready to be part of the future? About the job QV.AC is a general purpose AI assistant that runs locally on your devices, it gives users greater control over their data and how they use artificial intelligence. Our focus is on local, on-device, and privacy-preserving AI, with opportunities to connect these experiences across Tether’s peer-to-peer ecosystem. We’re looking for a Product Manager with a strong interest in AI and a practical understanding of how to turn emerging capabilities into useful products. You will work closely with the Product Lead to help advance the QV.AC vision: identifying valuable use cases, defining AI features, exploring product concepts, and working with engineering and design to bring them to users. You’ll contribute to product direction and take responsibility for moving assigned features from discovery through delivery and iteration. This role suits someone who knows how to leverage AI to the maximum and enjoys experimenting with new AI technologies, understands its possibilities and limitations, and cares about making complex technology easy to use. Responsibilities Help shape AI features: Work with the Product Lead to translate the QV.AC vision into concrete use cases, feature proposals, and product requirements. Bring ideas grounded in user needs, research, and hands-on experimentation. Understand users and their problems: Gather feedback, conduct research, and explore how people use AI in their everyday workflows. Identify where AI can solve a meaningful problem and where a simpler solution may work better. Turn ideas into clear specifications: Write product briefs, user stories, acceptance criteria, and user flows that help engineering and design understand the intended experience, constraints, and measures of success. Prototype and explore: Create wireframes, mockups, and working prototypes to test ideas and communicate product behavior. Use AI-assisted tools to explore concepts quickly and refine them with the team. Collaborate on technical trade-offs: Work with engineers to understand what is feasible across devices and models. Help assess the impact of response quality, latency, memory usage, battery consumption, and privacy on the user experience. Support prioritization and planning: Help the Product Lead evaluate opportunities, clarify scope, identify dependencies, and maintain a focused backlog aligned with product priorities. Drive feature delivery: Follow assigned features through development, resolve product questions, review the experience, and coordinate feedback and release readiness with relevant teams. Stay close to AI developments: Explore new AI products, models, tools, and interaction patterns, and explain their practical relevance to QV.AC . Share clear recommendations about what is worth testing or adopting and why. Mandatory: 7+ years of product management experience, ideally working on AI software products with technical engineering teams. Practical experience building, shipping, or prototyping AI-powered features, with the ability to explain your contribution and what you learned. A working understanding of AI concepts such as inference, harnesses, model capabilities and limitations, context, and evaluation, alongside an interest in local and on-device AI. The ability to translate an ambiguous idea into a clear user problem, proposed solution, and actionable requirements. Strong product judgment, with attention to usability, scope, and measurable user value. Confidence creating prototypes using design or coding tools Clear written and verbal communication, including the ability to discuss technical trade-offs with engineers and explain them to non-technical colleagues. A proactive, collaborative approach: comfortable taking responsibility for your work, asking questions early, and incorporating feedback. Familiarity with product analytics, user research, and iterative software development. Preferred: Experience with local AI, on-device inference, or open-source models. Experience building AI assistants, conversational interfaces, or multimodal features. Familiarity with desktop or mobile product development. An understanding of peer-to-peer technologies and decentralized applications. Experience evaluating AI output quality and designing user experiences that account for uncertainty and errors. Experience working in a distributed team. Important information for candidates Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles: Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/ Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website. Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms. Double-check email addresses. All communication from us will come from emails ending in @ tether.to or @ tether.io We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately. When in doubt, feel free to reach out through our official website.

Location: Oakland, California, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran + dbt Labs is building data pipelines to power the modern data stack for thousands of companies. We’re looking for a Senior Staff Systems Engineer, Data and Integrations to join our Systems Engineering team and set the technical direction for the data that runs Fivetran's business. In this role, you will own the data architecture behind our marketing, sales, billing, and product operations: the canonical data models, the contracts between systems, and the pipelines and transformations that move data reliably between them. You will lead our largest and most consequential data initiatives, such as system migrations, org consolidations, and re-platforming of core integrations, from design through validation and cutover. This position sits at the crossroads of data engineering, data modeling, and business process. You will partner closely with our Systems, Analytics, and Engineering teams, as well as Marketing, Revenue Operations, Accounting, Product Operations, and other business partner teams, and you will mentor the engineers who build within the standards you set. This is a full-time position based out of our Oakland, California office. Technologies You’ll Use Our core systems are Salesforce, Netsuite, Coupa, Workday, and Zendesk, with BigQuery as our data warehouse. Our current integration stack includes Celigo and Fivetran itself.  You should be an expert in SQL and strong in a general purpose programming language such as Python or TypeScript, and comfortable evaluating and adopting new tools when necessary. A data engineering background is required, with expertise in data modeling, ETL/ELT development, data quality testing, and data validation at scale. Experience with dbt or a similar transformation framework, and with API-based and event-driven integration patterns, is preferred. Help us bring established data engineering practices to internal business systems, and define what those practices should be here. What You’ll Do Data Architecture and Standards Own the canonical data models for Fivetran's marketing, sales, billing, and product operations integrations, and define how business concepts map to data across our core systems. Define team-wide standards for data modeling, data quality, testing, governance, and documentation, and drive their adoption across Systems Engineering and partner teams. Contribute to the design of integration architecture, establishing guidance for when to use batch, real-time, and event-driven data movement. Delivery of Complex Initiatives Lead the design and execution of our most complex data initiatives, including bulk migrations, system consolidations, and re-implementation of core integrations, from target-state design through validation, cutover, and stabilization. Build, review, and ship the SQL and Python transformations and pipelines behind these initiatives, setting the bar for code quality on the team. Design the validation and reconciliation approach for migrations and pipeline changes, and sign off with stakeholders that record counts, values, and business rules reconcile. Reliability and Observability Design the monitoring, alerting, and data quality framework that gives end-to-end visibility into data freshness and accuracy across systems, and define the KPIs used to measure integration and data health. Lead root cause analysis on the most complex cross-system data issues, and drive the systemic fixes that prevent recurrence. Business Partnership Technical Leadership Translate ambiguous requirements from cross-functional business partners into data models and technical designs, and drive alignment across teams with competing priorities. Serve as the technical lead and subject matter expert for business data within the Systems Engineering team. Mentor other engineers and review their designs and code, raising the team's proficiency in data modeling, testing, and pipeline design. Write and maintain design documents and data flow documentation for current and target state, so decisions are legible to the team and to partners. Skills We’re Looking For 10+ years of experience in Data Engineering, Analytics Engineering, or a similar role, with a deep focus on modeling and transforming business data and a track record of technical leadership on complex, multi-team initiatives. Expert SQL proficiency, including complex transformations, performance tuning, and large-scale data reconciliation. Strong proficiency in a general purpose programming language such as Python or TypeScript, with experience building production-grade, tested data pipelines. Hands-on experience with business systems data models such as those for Salesforce, NetSuite, Coupa, Workday, or Zendesk, including a data migration, org merge, or major re-implementation. Demonstrated experience designing and delivering large-scale ETL/ELT solutions and the data quality, validation, and governance frameworks around them. Ability to evaluate trade-offs between short-term delivery and long-term data architecture health, and to communicate those decisions clearly. Ability to lead through influence, driving alignment across technical and non-technical stakeholders without direct authority. Bonus Skills Experience with dbt or a similar transformation framework. Hands-on experience with iPaaS platforms such as Celigo, Workato, or Boomi, and with reverse ETL tools, including experience choosing between them. Experience with cloud platforms such as AWS or GCP, infrastructure as code, and CI/CD for data pipelines. Familiarity with AI/ML capabilities to augment data quality, matching, and automation. By stepping into this role, you will define how Fivetran's + dbt Labs business data is modeled, governed, and moved, and lead the initiatives that make it scale. #LI-HYBRID #LI-VA1 The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Oakland Pay Range $202,787 — $253,483.50 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: London, United Kingdom Workplace: remote Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry. If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you. Are you ready to be part of the future? About the job QV.AC is a general purpose AI assistant that runs locally on your devices, it gives users greater control over their data and how they use artificial intelligence. Our focus is on local, on-device, and privacy-preserving AI, with opportunities to connect these experiences across Tether’s peer-to-peer ecosystem. We’re looking for a Product Manager with a strong interest in AI and a practical understanding of how to turn emerging capabilities into useful products. You will work closely with the Product Lead to help advance the QV.AC vision: identifying valuable use cases, defining AI features, exploring product concepts, and working with engineering and design to bring them to users. You’ll contribute to product direction and take responsibility for moving assigned features from discovery through delivery and iteration. This role suits someone who knows how to leverage AI to the maximum and enjoys experimenting with new AI technologies, understands its possibilities and limitations, and cares about making complex technology easy to use. Responsibilities Help shape AI features: Work with the Product Lead to translate the QV.AC vision into concrete use cases, feature proposals, and product requirements. Bring ideas grounded in user needs, research, and hands-on experimentation. Understand users and their problems: Gather feedback, conduct research, and explore how people use AI in their everyday workflows. Identify where AI can solve a meaningful problem and where a simpler solution may work better. Turn ideas into clear specifications: Write product briefs, user stories, acceptance criteria, and user flows that help engineering and design understand the intended experience, constraints, and measures of success. Prototype and explore: Create wireframes, mockups, and working prototypes to test ideas and communicate product behavior. Use AI-assisted tools to explore concepts quickly and refine them with the team. Collaborate on technical trade-offs: Work with engineers to understand what is feasible across devices and models. Help assess the impact of response quality, latency, memory usage, battery consumption, and privacy on the user experience. Support prioritization and planning: Help the Product Lead evaluate opportunities, clarify scope, identify dependencies, and maintain a focused backlog aligned with product priorities. Drive feature delivery: Follow assigned features through development, resolve product questions, review the experience, and coordinate feedback and release readiness with relevant teams. Stay close to AI developments: Explore new AI products, models, tools, and interaction patterns, and explain their practical relevance to QV.AC . Share clear recommendations about what is worth testing or adopting and why. Mandatory: 7+ years of product management experience, ideally working on AI software products with technical engineering teams. Practical experience building, shipping, or prototyping AI-powered features, with the ability to explain your contribution and what you learned. A working understanding of AI concepts such as inference, harnesses, model capabilities and limitations, context, and evaluation, alongside an interest in local and on-device AI. The ability to translate an ambiguous idea into a clear user problem, proposed solution, and actionable requirements. Strong product judgment, with attention to usability, scope, and measurable user value. Confidence creating prototypes using design or coding tools Clear written and verbal communication, including the ability to discuss technical trade-offs with engineers and explain them to non-technical colleagues. A proactive, collaborative approach: comfortable taking responsibility for your work, asking questions early, and incorporating feedback. Familiarity with product analytics, user research, and iterative software development. Preferred: Experience with local AI, on-device inference, or open-source models. Experience building AI assistants, conversational interfaces, or multimodal features. Familiarity with desktop or mobile product development. An understanding of peer-to-peer technologies and decentralized applications. Experience evaluating AI output quality and designing user experiences that account for uncertainty and errors. Experience working in a distributed team. Important information for candidates Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles: Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/ Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website. Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms. Double-check email addresses. All communication from us will come from emails ending in @ tether.to or @ tether.io We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately. When in doubt, feel free to reach out through our official website.

Location: London, UK 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 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 Beneficial Deployments Beneficial Deployments ensures AI reaches and benefits the communities that need it most. We partner with nonprofits, foundations, and mission-driven organizations to deploy Claude in education, global health, economic mobility, and life sciences — focusing on raising the floor for those who need it most. About the Role We're looking for an Applied AI Engineer to join our Beneficial Deployments, Life Sciences team. This is a partner-facing role: you'll support nonprofits, research institutes, academic medical centres and public-sector funders as they use Claude to get treatments to patients with rare and neglected diseases, where there is little or no commercial incentive to fund development. The role focuses on clinical development, where we think Claude can help these partners today. Trials in these diseases have small patient populations, investigator-led or nonprofit funding and little operational support, and they often stall on protocol quality, operational risk and site start-up. Claude can help teams design better trials and start them sooner. Much of this work is drug repurposing: testing new uses for approved, usually off-patent or generic medicines, whose known safety profiles can let a good hypothesis reach patients years sooner than a new molecule. You'll advise and embed in partners' teams, building alongside their engineers, scientists and clinicians. Responsibilities Work with partners' trial teams to design, review and prioritise clinical trials with Claude: drafting and reviewing protocols and statistical analysis plans, and flagging enrolment and operational risks. Build and validate tools that help partners find new uses for approved, mostly off-patent medicines in rare and neglected diseases, from literature, omics and patient data, and assemble the evidence so the partner can decide the next step. Build reusable infrastructure other institutions can adopt (MCP servers for biomedical data sources, agent skills, benchmarks grounded in real clinical questions), and feed what you learn in the field back to product, engineering and research. You Might Be a Good Fit If You Have Hands-on clinical development experience: designing, running or analysing clinical trials, or assessing clinical evidence to decide which programmes go forward (for example due diligence or asset evaluation). Drug repurposing work as part of that is a strong plus, as is having contributed to a regulatory submission for a trial. Comfort with biomedical data: literature, omics, and real-world patient data (health records, registries, claims), ideally inside secure or trusted research environments. Strong engineering skills: you can take an LLM-powered tool from prototype to production code, and write evals to measure it. Experience working directly with external partners or customers in a technical role. Clear written and verbal communication: docs other institutes can use without you, and results clinicians trust. A scrappy mentality: you're comfortable in ambiguity, wear several hats, and do what it takes to get a result for a partner. 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: £225,000 — £255,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Boston, MA Workplace: OnSite At WHOOP, we’re on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. Our wearable technology collects rich physiological data, providing members with actionable insights into their recovery, training, and sleep. We are seeking a Staff Applied Machine Learning Scientist to develop and continuously improve production-ready edge algorithms that transform sensor data into accurate, reliable, and real-time physiological insights. In this role, you will develop innovative approaches that combine deep learning, machine learning, and signal processing to deliver meaningful value to WHOOP members while optimizing for accuracy, latency, power, and scalability across wearable platforms. You will work closely with a cross-functional team of scientists, engineers, physiologists, and hardware experts to solve challenging problems at the intersection of wearable sensing, physiological modeling, and applied AI. You will develop novel modeling approaches, and own complex algorithmic problems from early development through production deployment and continuous improvement. Your work will directly shape the future of WHOOP’s sensing capabilities and our ability to provide members with accurate, personalized, and actionable insights into their health and performance. RESPONSIBILITIES: - Design advanced algorithms that combine signal processing, physiological modeling, machine learning, and deep learning for physiological time-series and multimodal sensor data, with a focus on accuracy, robustness, and generalization across diverse members and real-world conditions. - Own the development and continuous improvement of production-ready edge algorithms that transform multimodal sensor data into accurate, reliable, and real-time physiological insights. - Analyze large-scale wearable sensor datasets to identify performance gaps, characterize challenging conditions, and drive data-informed algorithm improvements. - Define rigorous evaluation methodologies, validation frameworks, and performance metrics to assess algorithms throughout development and deployment. - Optimize algorithms for embedded deployment, balancing accuracy with power, memory, latency, and compute constraints across current and future wearable platforms. - Set technical direction and establish best practices for modeling, experimentation, validation, and algorithm development across complex sensing problems. - Pursue ambiguous, high-impact technical initiatives from research and prototyping through validation, production deployment, monitoring, and continuous improvement. - Collaborate closely with Data Science, Firmware, Software, Hardware, Product, and domain experts to translate algorithmic innovations into production-ready capabilities and member-facing features. - Stay at the forefront of advances in deep learning, machine learning, signal processing, edge AI, and physiological sensing, and translate relevant innovations into differentiated WHOOP capabilities. QUALIFICATIONS: - MS or PhD in Electrical Engineering, Biomedical Engineering, Computer Science, Machine Learning, Applied Mathematics, or a related quantitative field. - 7+ years of experience developing and deploying machine learning, deep learning, and/or signal processing algorithms for complex real-world applications. - Deep technical expertise in modern machine learning and deep learning methods, particularly for time-series and multimodal sensor data. - Strong foundation in digital and statistical signal processing, with the ability to combine classical signal processing techniques with modern learning-based approaches. - Strong proficiency in Python for algorithm development, experimentation, and large-scale data analysis; experience with C/C++ and embedded algorithm development is highly desirable. - Demonstrated ability to develop robust models using large, noisy, real-world datasets and achieve strong generalization across diverse conditions. - Experience designing rigorous experiments, defining performance metrics, performing error analysis, and translating findings into algorithm improvements. - Experience taking algorithms through the full development lifecycle, from research and prototyping through validation, deployment, monitoring, and continuous improvement. - Strong analytical and problem-solving skills, with the ability to navigate ambiguity and make sound technical decisions. - Experience with physiological signals, wearable sensors, or biomedical sensing is highly desirable. - Experience optimizing algorithms for resource-constrained embedded or edge environments, including tradeoffs across accuracy, power, memory, compute, and latency, is a plus. - Strong commitment to embracing and leveraging AI tools in day-to-day work while maintaining high standards for quality and rigor. Join us in pushing the boundaries of wearable sensing, applied AI, and physiological intelligence and positively impacting people’s lives! This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-Verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Location: United States & Canada Workplace: Remote About WorkOS 🚀 WorkOS builds modern developer tools and APIs that make it easy for companies to become Enterprise Ready. Our platform powers authentication, identity, authorization, and other critical infrastructure that developers need to securely scale their products to large organizations. We recently raised a $100M Series C, valuing the company at $2B, led by Meritech and Sapphire with participation from Greenoaks, Craft, Abstract, and Audacious. WorkOS powers enterprise features for many of the fastest-growing AI companies, including OpenAI, Cursor, and Perplexity, Sierra, and Plaid. As AI reshapes software, WorkOS is at the frontier of Human and Agent Authentication, Identity, and Access Control helping companies answer a new critical question: who are your agents, and what are they allowed to do? Our fast-growing customer base includes hundreds of modern software companies building the next generation of enterprise-ready products. ABOUT THE ROLE The Data team at WorkOS plays a central role on the company operations to ensure information and insights are accurate and available from any surface, whether that's a visualization tool or an agent's response, to accelerate company growth and scale. The team owns WorkOS's internal data platform end to end: ingestion, orchestration, the Snowflake warehouse, dbt transformations, governance and access controls. We also own the consumption layer: the reverse-ETL syncs that land data in Salesforce and Slack, the semantic views that agents query, the definitions that keep reporting consistent across the company, and the visualization tooling the company uses (ask us about Flashboards https://workos.com/blog/reporting-tool-with-no-editor). We run on an agent-first operating system: we are a lean team that moves fast, we document so agents can execute, and AI agents query the warehouse, run our runbooks, and open pull requests alongside us. We trust each other's expertise, we work out loud and in the open, and not opposed to rapid experimentation to get to the right solution for the business. We're hiring a Data Engineer to own and evolve the systems that move, transform, protect, and serve data across our internal warehouse. This is a high-ownership role on a lean team: you will be the DRI for the platform and its core data models, partner directly with Product Engineering, RevOps, Finance, GTM Engineering, and Security, and raise the bar on reliability, correctness, and operational rigor. The role spans the platform and what runs on it. You will own ingestion, orchestration, and access governance; the dbt models and metric definitions that depend on them; and how AI is applied across the data stack, so that trusted data is easy for both people and AI agents to discover, understand, and work with. You don't need to have done this exact job before. The best data engineers at WorkOS are the ones who notice in a Slack thread that a number doesn't match, trace it from the dashboard through the Gold model to the connector, fix the connector, and confirm the definition with its owner before the weekly review. When a business team asks for a field in Salesforce, they don't hand it off; they build the model, write the sync, and add the test. They would rather automate the runbook than run it a third time. They enjoy collaboration with different parts of the business and can find simple, scalable solutions to ambiguous problems. If that sounds like how you work, we want to talk. RESPONSIBILITIES - Own the reliability, freshness, and scaling of the ingestion and orchestration pipelines that land source data in Snowflake, including monitoring, alerting, runbooks, and backfill and reprocessing patterns - Design, build, and scale the core dbt models (Bronze, Silver, Gold) for billing and usage, CRM, product events, and GTM funnel reporting - Partner with Product, Finance, RevOps, and GTM to define metrics and codify them in the warehouse, and diagnose and resolve data quality and freshness issues at source, not just downstream - Own Snowflake RBAC, dynamic masking, and PII classification for humans, agents, and service accounts, so sensitive data is protected without blocking legitimate use, and review DDL and access requests from Engineering and GTM - Own the reverse-ETL layer and the runbooks that deliver warehouse data to Salesforce, Slack, and internal agents - Extend the semantic views, context, and evaluations that let agents answer business questions accurately, and expand what agents can operate directly, from runbooks and ingestion to pull requests - Build and advance the CI/CD review gates in the data-platform monorepo, including the automated review that agent-authored pull requests pass through - Own the infrastructure the data platform runs on: the compute, deployments, secrets and access patterns, and environments behind ingestion and orchestration, with attention to availability and failure modes, in partnership with our infrastructure engineers Example problems you might work on, possible paths rather than a fixed roadmap: - Standardizing how Postgres and SaaS sources are ingested, and consolidating end-to-end pipeline deployment and orchestration in Prefect - Managing Snowflake RBAC, resource management, and masking policies as code with Terraform - Using query history to improve analytics tables and semantic views, and to keep agent answers accurate and consistent as data grows and metrics shift - Automating masking coverage as new data sources arrive, so adding a new table no longer needs a human in the loop - Automating near-certain matches in the Identity Graph - Pseudonymizing product data in the ingestion path, alongside compliance and data-deletion policies - Extending transcript aggregation across sources, including PII detection before transcripts enter the warehouse - Building the reverse-ETL framework and runbooks that deliver data to other tooling and agents - Running self-hosted data services on Kubernetes and managing their AWS resources (IAM, storage, secrets) as code with Terraform QUALIFICATIONS - 5+ years (or equivalent) building and operating production data platforms, including the transformation layer - Deep experience with Snowflake, dbt, and an orchestrator such as Prefect, Airflow, or Dagster, and with ingesting data from production databases and SaaS sources, including backfill and reprocessing patterns - Experience running data systems in production: monitoring, alerting, debugging, incident response habits, and pragmatic SLO/SLA thinking - Experience with warehouse access governance: RBAC, masking policies, and PII handling - Strong data modeling judgment and an understanding of schema evolution - Strong SQL and Python; disciplined engineering practices (tests, docs, reviews, CI/CD) - Proven experience operating as the only engineer on a layer, balancing foundational architecture with urgent business needs - Working knowledge of how GTM, Finance, and Product teams operate in addition to working with Engineering, and experience translating ambiguous business questions into technical specs - Comfortable using LLMs and coding agents as part of your day-to-day development workflow, with the judgment to validate their output and scale it into shared processes, and embracing AI and automation to scale platform work and accelerate your teammates - A systems thinker who reasons carefully about freshness, correctness, and failure modes, especially for data that everything else depends on - Pragmatic: you start with the simplest solution that works, prove it, then scale it, and you balance fast answers with durable solutions - You look for where AI can remove a bottleneck for the people and agents who depend on the warehouse, and you build the durable tools and workflows they rely on every day Benefits and Perks (US Only) 💖 At WorkOS, we offer resources that emphasize personal and familial well-being. We offer healthcare coverage for you and your family, including medical, dental, and vision. We offer parental leave, paid-time off and fully remote working arrangements.   - 401k matching - Competitive Equity - Healthcare, dental and vision coverage - FSA, ST/LT Disability, Voluntary Life - Carrot fertility benefits - 20 days paid vacation + 10 holidays + unlimited sick leave - 12 weeks fully paid parental leave - Fitness: Monthly stipend for gyms, yoga classes, race registrations or whatever keeps you active - Wellness: Monthly stipend for a massage, meditations class, therapy, or activities that enhance your well-being - Commuter benefits for hybrid employees in SF/NYC - Unlimited token usage! Please inquire directly with our recruiting team for benefits available to those working outside the US.   Equal Opportunity Employer WorkOS is an equal opportunity employer, committed to diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: United States Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM   Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.   We are looking for an Affiliate Growth Lead, US to build and scale our relationships with finance and investing creators and affiliates across the US market. The role combines business development, creator and affiliate partnerships and performance marketing, with a clear commercial mandate: drive attributable funded accounts and trading volume from active traders and investors, starting with Margin.   This is not a crypto-native KOL role. The audience we want to reach already trades and invests, and we reach them through the creators and publishers they trust in traditional finance, trading education and wealth management.   THE OPPORTUNITY - Own business development for US finance and investing creators and affiliates, building a high-quality pipeline of trading educators, finance YouTubers and podcasters, newsletter authors, and wealth-management and advisor-creators. - Develop and execute the US creator and affiliate strategy, starting with a focus on driving Margin trading volume and funded accounts, with the scope to expand across Kraken's other trading products. - Own partner acquisition and relationship development, from initial outreach and commercial conversations through activation and ongoing growth. - Structure CPA, revenue-share and hybrid partnerships that tie partner incentives to funded accounts and trading activity. - Set up and manage the tracking, attribution, payout and reporting needed to measure partners through funded and traded accounts. - Work with Legal and Compliance on disclosure, content review and approved messaging, so that promotion of leveraged products is responsible and consistent. - Partner across Growth, Marketing, Product and other relevant teams to turn creator and affiliate opportunities into effective campaigns, and bring partner and audience feedback back into the product. - Coordinate with the NORAM Pro KOL Business Development team so each creator has a single point of contact and relationships are not duplicated. - Track attributable trading volume, funded accounts, active-trader retention and CAC per partner, and use the results to prioritize partners and investment. - Continuously identify emerging creators, communities and affiliate publishers that reach active traders and investors in the US.       WHAT YOU BRING - Deep experience in business development, partnerships, influencer management or affiliate-led growth in the US, with a track record of running performance-based creator or affiliate programs for a brokerage, trading platform or investing product. - Experience growing margin, options, futures or other leveraged or active-trading products. - A strong existing network and understanding of the US finance and investing creator ecosystem, including trading educators, finance YouTubers, newsletter authors, podcasters and wealth-management or advisor-creators. - Working knowledge of crypto and digital assets, with the ability to explain crypto trading products clearly to audiences who are new to them. - Demonstrated ability to originate, negotiate and grow commercially meaningful partnerships, including CPA, revenue-share and hybrid deal structures. - Hands-on experience with affiliate networks and tracking platforms. - A record of turning creator or affiliate activity into measurable outcomes such as funded accounts, trading volume, revenue or acquisition, with results you can describe in numbers. - Familiarity with US financial advertising rules, including FTC paid-endorsement disclosure, and experience getting creator content through compliance review. - Strong relationship-building skills, with the credibility to work with creators who protect their audience's trust and are selective about the brands they promote. - Commercial judgment: you prioritize partners based on expected impact on conversion and trading activity, not on reach or activity alone. - Comfort using performance data to evaluate partners, diagnose results, adjust strategy and end partnerships that do not perform. - Strong cross-functional execution skills and the ability to move opportunities from prospecting through launch and ongoing growth.     NICE TO HAVES - Experience working in wealth management or fintech. - Experience at a crypto exchange or digital-asset firm. - Existing relationships with US crypto-native creators. Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on Twitter https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: United Kingdom (Remote); Ireland (Remote) Workplace: Remote About Teleport Don't wait for the future of infrastructure. Be part of it. Teleport is the AI Infrastructure Identity Company. We're solving one of the hardest problems in security: giving every human, machine, workload, and AI agent a cryptographically secured identity, improving engineering velocity while maintaining security. We make trusted computing simple. This gives you the freedom, power, and autonomy to build and innovate with confidence. Remote-first and globally distributed, we work with companies like Nasdaq, DoorDash, and Elastic to secure infrastructure for an AI world. As a Senior Solutions Engineer, you will help the sales team drive revenue growth by evangelizing our technology via demos and technical discussions. You will get to collaborate with infrastructure engineering and security teams at the most sophisticated technology companies in the world. Most importantly, you will help these companies solve problems and get exposed to the latest ideas in technology. You will partner with account executives, other solutions engineers, and other teams to understand customer challenges, design secure and scalable solutions, and guide prospects through technical evaluations and proof-of-value engagements. You have experience working with AI technologies and infrastructure (LLMs, MCP, vector databases, AI tooling), and familiarity with traditional infrastructure networking and security (Linux/Unix, Windows, VPNs, bastion hosts, etc) and modern cloud-native technologies (cloud compute, containers, IaC, etc). What You'll Do - Partner with Account Executives and Account Managers to expand technical discovery, and map Teleport’s capabilities to customer initiatives. - Architect and deliver compelling demos and proof-of-concepts that showcase Teleport’s differentiation with Zero Trust principles, handling of human and non-human identities, identity governance, and identity security. - Act as the trusted advisor to engineering, platform engineering, DevSecOps, and security leaders. - Advise on protecting sensitive datasets and model endpoints with Teleport’s identity-based controls. - Position Teleport as a solution to eliminate API keys and static tokens in machine pipelines. - Support customers exploring AI/LLM use cases, including secure infrastructure for training and inference workloads. - Provide structured feedback to Product and Engineering on feature gaps and market needs. - Collaborate with Marketing on thought leadership around identity, human, non-human, and AI security. - Support channel and technology partners with technical enablement. - Help across various go-to-market activities, including marketing collateral, product positioning, customer interviews, sales cycle optimizations, traveling to conferences, brand evangelism, attending meetups, etc. - Listen deeply and perceive feedback as an opportunity to improve. - Demonstrate a high level of empathy, resilience, and humility. What You'll Bring - 5+ years of experience in pre-sales engineering, solutions architecture, DevSecOps or a highly technical customer-facing role. - Experience with using/configuring/debugging Linux machines and network issues. - Strong understanding and experience with Kubernetes, including hands-on troubleshooting. - Strong knowledge of at least one cloud computing platform - Strong knowledge of DevSecOps principles, CI/CD pipelines, and securing infrastructure at scale (e.g., source control, code reviews, unit testing, agile principles). - Advanced understanding of identity security and modern Zero Trust security approaches. - Proven ability to develop scripts and automation using Linux shell, Go, and Infrastructure as Code tools - Strong understanding of system architecture, provisioning, and administration - Familiarity with AI/LLM infrastructure (GPU clusters, data governance, inference workloads, ML pipelines) and associated security requirements. - Strong problem-solving and analytical skills, with the ability to troubleshoot complex issues - Ability to engage both technical and executive stakeholders with credibility and clarity. - Strong presentation, demo, and white-boarding skills. Why Teleport You're joining a company where the problem is real, the team is small, and your work shows up directly in the product. We're not a big company, you won't get lost in a crowd. You'll have the freedom and autonomy to do what you're great at, alongside teammates who care about doing it right and want to see you succeed. The work is collaborative, there's real room to grow, and the mission is one worth showing up for. Remote-first and globally distributed, we're genuinely passionate about what we're building. The Benefits At Teleport, we believe your career is more important than a list of perks. That's why we focus on making your day-to-day the best it can be — giving you the autonomy, access, and support to do the best work of your career. - Extensive health coverage - Annual expense budget - Rest and recovery policies that maximize your ability to recharge - Investment in your future with retirement savings plans - Professional development opportunities Teleport is an equal opportunity employer and does not discriminate against any employee or applicant on the basis of age, color, disability, gender, national origin, race, religion, sexual orientation, veteran status, or any classifications protected by federal, state, or local law. Candidate Privacy Notice: For information about our collection and processing of job applicant personal data for this position, please see our Job Applicant Privacy Policy and Notice of Collection at goteleport.com/legal/apply/job-applicant/ http://goteleport.com/legal/apply/job-applicant/