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Location: London Office; Berlin Office Workplace: Hybrid About The Role Taktile empowers financial institutions to transform into truly AI-native organizations. We’re growing rapidly with enterprise customers across banks and insurance companies, and we’re looking for an Applied AI Engineer. This role will be at the heart of that transformation, building advanced agentic products that solve high-value problems. You will act as a product owner for the AI agents you create, turning them into reusable applications that solve concrete customer problems at scale in the financial crime or credit risk space. If you're passionate about applying AI to real-world financial decisioning, stay current on advances in generative AI, and bring a solid foundation in Python, SQL, and working with APIs, you'll thrive here. What You'll Do as an Sr. Applied AI Engineer - Build Reusable AI Products: Act as the product owner for your application area. Design, develop, and deploy robust, repeatable Generative AI agents that serve as configurable solutions for our customers. - Drive Scalable Value: Partner with Solution and Forward Deployed Engineers during critical sales and implementation projects to deeply understand customer needs. Develop standard templates and reusable components that reduce time-to-activation and solve core challenges. - Product Vision and Iteration: Synthesize customer feedback into a clear vision for your agents. Iterate on your solutions to solve concrete use cases at scale, treating every agent as a product itself. - Collaborate with Core Product: Work closely with the core product team to prioritize platform features that unblock application development, and act as an expert user consultant during the development of new features. About You - You bring 3-6 years of data science, software engineering, consulting, or product management experience that includes customer-facing work or product ownership. - You have a strong technical or quantitative background, preferably in fields such as Computer Science, Mathematics, Software Engineering, Physics, Data Science, or Economics. - You are eager to dive into the domain of our customers, including credit underwriting, financial risk assessment, and financial crime detection. - You write clean, maintainable Python and SQL, and have a good understanding of REST APIs. - You excel at breaking down complex problems and abstracting them into scalable, reusable solutions. - You build strong relationships with both technical and business stakeholders at all levels, driven by a product-centric mindset to understand their needs and solve their challenges at scale. - You are open to a hybrid work model and can work from our London or Berlin office at least three days per week. Ideal Qualifications (but not required) - You have experience in building AI applications within financial services. - You have experience in applying and optimizing statistical and machine learning models to solve business problems. - You have experience with at least one of the major cloud platforms (AWS, Azure, GCP). What We Offer - Work with colleagues that lift you up, challenge you, celebrate you and help you grow. We come from many different backgrounds, but what we have in common is the desire to operate at the very top of our fields. If you are similarly capable, caring, and driven, you'll find yourself at home here. - Make an impact and meaningfully shape an early-stage company. - Experience a truly flat hierarchy and communicate directly with founding team members. Having an opinion and voicing your ideas is not only welcome but encouraged, especially when they challenge the status quo. - Learn from experienced mentors and achieve tremendous personal and professional growth. Get to know and leverage our network of leading tech investors and advisors around the globe. - Receive a top-of-market equity and cash compensation package. - Get access to a self-development budget you can use to e.g. attend conferences, buy books or take classes. - Use the equipment of your choice including meaningful home office set-up. Our Stance - We're eager to meet talented and driven candidates regardless of whether they tick all the boxes. We're looking for someone who will add to our culture, not just fit within it. We strongly encourage individuals from groups traditionally underestimated and underrepresented in tech to apply. - We seek to actively recognize and combat racism, sexism, ableism and ageism. We embrace and support all gender identities and expressions, and celebrate love in its many forms. We won't inquire about how you identify or if you've experienced discrimination, but if you want to tell your story, we are all ears. About Us Taktile enables financial institutions to transform into AI-native organizations that are increasingly powered by autonomous agents. With our modular Agentic Decision Platform, customers combine AI agents, rules, relevant context, and human oversight to safely automate and optimize their decisions—approving more customers, reimbursing claims instantly, stopping fraud before it spreads, and financing every business worth funding. Founded in 2020, Taktile powers millions of decisions daily for institutions including Mercury, Monzo, Faire, and Pleo. With offices in New York, Berlin, London, São Paulo, and Iași, the company has raised $184M from Growth Equity at Goldman Sachs Alternatives, Index Ventures, Tiger Global, Balderton Capital, and Y Combinator. Learn more at taktile.com http://taktile.com. About Your Employment. Taktile operates through regional entities worldwide. Depending on the location of this role, your employment or engagement will be with Taktile LLC (US), Taktile GmbH (Germany), Taktile Ltd (UK), or Taktile SRL (Romania). The applicable entity will be confirmed during the offer process. Your Privacy. Taktile (“we” or “us”) is the controller of the personal data you provide during this application process. We collect and process your name, contact details, resume/CV, work history, education, and any other information you submit or that we obtain from publicly available sources or references. How we use your data: We process your personal data to evaluate your candidacy, communicate with you about the recruitment process, comply with legal obligations (such as right-to-work verification), and, with your consent, to consider you for future opportunities. Legal basis (EU/UK applicants): We rely on (i) pre-contractual steps at your request (GDPR/UK GDPR Art. 6(1)(b)), (ii) legal obligations (Art. 6(1)(c)), and (iii) our legitimate interest in evaluating candidates (Art. 6(1)(f)). Retention: If your application is unsuccessful, we retain your data for 12 months after the recruitment process concludes, unless you consent to longer retention. Successful candidates’ data becomes part of their employment records. Your rights: Depending on your location, you may have the right to access, correct, delete, or restrict the processing of your personal data, to data portability, and to withdraw consent. Automated decision-making: We use automated tools to assist in screening applications. No hiring decision is made solely by automated means without human review. International transfers: Your data may be transferred to and processed in the United States, Germany, the United Kingdom, or Romania. Where required, transfers are protected by Standard Contractual Clauses or other approved mechanisms. By submitting your application, you acknowledge that you have read and understood Taktile’s Applicant Privacy Policy https://taktile.com/applicant-privacy-policy. To exercise your rights or ask questions, contact privacy@taktile.com

Location: New York Office Workplace: Hybrid About The Role Taktile empowers financial institutions to transform into truly AI-native organizations. We’re growing rapidly with enterprise customers across banks and insurance companies, and we’re looking for an Applied AI Engineer. This role will be at the heart of that transformation, building advanced agentic products that solve high-value problems. You will act as a product owner for the AI agents you create, turning them into reusable applications that solve concrete customer problems at scale in the financial crime or credit risk space. If you're passionate about applying AI to real-world financial decisioning, stay current on advances in generative AI, and bring a solid foundation in Python, SQL, and working with APIs, you'll thrive here. What You'll Do as an Sr. Applied AI Engineer - Build Reusable AI Products: Act as the product owner for your application area. Design, develop, and deploy robust, repeatable Generative AI agents that serve as configurable solutions for our customers. - Drive Scalable Value: Partner with Solution and Forward Deployed Engineers during critical sales and implementation projects to deeply understand customer needs. Develop standard templates and reusable components that reduce time-to-activation and solve core challenges. - Product Vision and Iteration: Synthesize customer feedback into a clear vision for your agents. Iterate on your solutions to solve concrete use cases at scale, treating every agent as a product itself. - Collaborate with Core Product: Work closely with the core product team to prioritize platform features that unblock application development, and act as an expert user consultant during the development of new features. About You - You bring 3-6 years of data science, software engineering, consulting, or product management experience that includes customer-facing work or product ownership. - You have a strong technical or quantitative background, preferably in fields such as Computer Science, Mathematics, Software Engineering, Physics, Data Science, or Economics. - You are eager to dive into the domain of our customers, including credit underwriting, financial risk assessment, and financial crime detection. - You write clean, maintainable Python and SQL, and have a good understanding of REST APIs. - You excel at breaking down complex problems and abstracting them into scalable, reusable solutions. - You build strong relationships with both technical and business stakeholders at all levels, driven by a product-centric mindset to understand their needs and solve their challenges at scale. - You are open to a hybrid work model and can work from our NYC office at least three days per week. Ideal Qualifications (but not required) - You have experience in building AI applications within financial services. - You have experience in applying and optimizing statistical and machine learning models to solve business problems. - You have experience with at least one of the major cloud platforms (AWS, Azure, GCP). What We Offer - Work with colleagues that lift you up, challenge you, celebrate you and help you grow. We come from many different backgrounds, but what we have in common is the desire to operate at the very top of our fields. If you are similarly capable, caring, and driven, you'll find yourself at home here. - Make an impact and meaningfully shape an early-stage company. - Experience a truly flat hierarchy and communicate directly with founding team members. Having an opinion and voicing your ideas is not only welcome but encouraged, especially when they challenge the status quo. - Learn from experienced mentors and achieve tremendous personal and professional growth. Get to know and leverage our network of leading tech investors and advisors around the globe. - Receive a top-of-market equity and cash compensation package. - Get access to a self-development budget you can use to e.g. attend conferences, buy books or take classes. - Use the equipment of your choice including meaningful home office set-up. Our Stance - We're eager to meet talented and driven candidates regardless of whether they tick all the boxes. We're looking for someone who will add to our culture, not just fit within it. We strongly encourage individuals from groups traditionally underestimated and underrepresented in tech to apply. - We seek to actively recognize and combat racism, sexism, ableism and ageism. We embrace and support all gender identities and expressions, and celebrate love in its many forms. We won't inquire about how you identify or if you've experienced discrimination, but if you want to tell your story, we are all ears. About Us Taktile enables financial institutions to transform into AI-native organizations that are increasingly powered by autonomous agents. With our modular Agentic Decision Platform, customers combine AI agents, rules, relevant context, and human oversight to safely automate and optimize their decisions—approving more customers, reimbursing claims instantly, stopping fraud before it spreads, and financing every business worth funding. Founded in 2020, Taktile powers millions of decisions daily for institutions including Mercury, Monzo, Faire, and Pleo. With offices in New York, Berlin, London, São Paulo, and Iași, the company has raised $184M from Growth Equity at Goldman Sachs Alternatives, Index Ventures, Tiger Global, Balderton Capital, and Y Combinator. Learn more at taktile.com http://taktile.com. About Your Employment. Taktile operates through regional entities worldwide. Depending on the location of this role, your employment or engagement will be with Taktile LLC (US), Taktile GmbH (Germany), Taktile Ltd (UK), or Taktile SRL (Romania). The applicable entity will be confirmed during the offer process. Your Privacy. Taktile (“we” or “us”) is the controller of the personal data you provide during this application process. We collect and process your name, contact details, resume/CV, work history, education, and any other information you submit or that we obtain from publicly available sources or references. How we use your data: We process your personal data to evaluate your candidacy, communicate with you about the recruitment process, comply with legal obligations (such as right-to-work verification), and, with your consent, to consider you for future opportunities. Legal basis (EU/UK applicants): We rely on (i) pre-contractual steps at your request (GDPR/UK GDPR Art. 6(1)(b)), (ii) legal obligations (Art. 6(1)(c)), and (iii) our legitimate interest in evaluating candidates (Art. 6(1)(f)). Retention: If your application is unsuccessful, we retain your data for 12 months after the recruitment process concludes, unless you consent to longer retention. Successful candidates’ data becomes part of their employment records. Your rights: Depending on your location, you may have the right to access, correct, delete, or restrict the processing of your personal data, to data portability, and to withdraw consent. California residents have additional rights under the CCPA, including the right to know, delete, and correct personal information. Automated decision-making: We use automated tools to assist in screening applications. No hiring decision is made solely by automated means without human review. International transfers: Your data may be transferred to and processed in the United States, Germany, the United Kingdom, or Romania. Where required, transfers are protected by Standard Contractual Clauses or other approved mechanisms.   By submitting your application, you acknowledge that you have read and understood Taktile’s Applicant Privacy Policy https://taktile.com/applicant-privacy-policy. To exercise your rights or ask questions, contact privacy@taktile.com

Location: Europe Workplace: Remote At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires. Founded in 2019, Linear has become the platform of choice for more than 50,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship. Linear is becoming a much broader product than people realize. With agents, mobile workflows, and new modalities, there’s a growing gap between what Linear can do and what people think it can do. This role exists to close that gap. We’re looking for someone who will live inside the product, discover what’s possible, and show the world. That means figuring out the most compelling use cases for Linear’s AI agent, demonstrating real workflows that teams can adopt, and getting those stories out through whatever format works best, whether that’s a tweet, a video, a blog post, or a live demo at a conference. The goal is to help people understand what they can actually do with Linear and make that feel concrete and exciting. Think of it as a product-obsessed marketer who is genuinely technical and knows how to communicate with depth. Location & work mode Linear is a remote-first company, with optional co-working offices in San Francisco, New York, and London. This role is open to candidates based in the US and Europe. You can work from anywhere within those regions. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel. What you’ll do - Deeply understand Linear’s product, especially our AI agent and newer capabilities, and continuously discover productive, real-world use cases that teams would care about - Create content that demonstrates those use cases, whether that’s short-form social, blog posts, video walkthroughs, or live demos. Format follows the story, not the other way around - Build relationships with engineering and product-focused creators and collaborate on content that feels authentic rather than sponsored - Work with our video team to produce technical product content that comes across with genuine depth - Partner with support, sales, and product on developer-facing documentation and educational content - Stay plugged into the conversations happening on X, in newsletters, and at events, and make sure Linear has a voice in the ones that matter What we’re looking for - Someone technical. You get code, understand how software gets built, and can talk about it credibly - Deep product intuition. You’re the kind of person who picks up a tool and immediately starts exploring what’s possible. You think in workflows and use cases rather than features - Comfortable on camera and on stage. You can demo a product, record a walkthrough, or speak at a conference without it feeling forced. - Twitter/X smart. You know how to use the platform, you understand what’s interesting to the people we’re trying to reach, and you can participate in the conversation with credibility - Curious and self-directed. You’re already finding the next interesting thing to talk about on your own, already following the right people and noticing the opportunities - Able to create video content end to end. You should be able to script, record, and edit a product walkthrough or demo without needing to hand it off to someone else What we offer We're a small, focused team that cares deeply about the quality of our work and the people we do it with. Here's what you can expect: - Competitive salary and equity - Employee-friendly equity terms including early exercise in the US and extended exercise windows - Daily meal and coffee stipend on every workday - Paid co-working space or desk - Health coverage (based on country requirements) - 5 weeks paid vacation, plus local statutory holidays - 4 months paid parental leave - Paid month off after 4 years & every 2 years thereafter - Regular team events and off-sites - Remote-first with no required commute Learn how we think and work - A story about our mission: Read Me https://linear.app/readme - Our hiring process: How we hire at Linear https://linear.app/now/how-we-hire-at-linear - How we work: Designing remote work at Linear https://linear.app/now/designing-remote-work-at-linear - Our CEO and co-founder, Karri at 20VC: How to Grow Capital Efficiently in a World of BS Growth https://www.youtube.com/watch?v=4vqDYkuzbSM - Make an Org Chart You Want to Ship — Advice from Linear on How Heirloom Tomatoes Should Inspire Team Design https://review.firstround.com/make-an-org-chart-you-want-to-ship-advice-from-linear-on-how-heirloom-tomatoes-should-inspire-team-design/ - Building our teams: Why and how we do work trials at Linear https://linear.app/blog/why-and-how-we-do-work-trials-at-linear - A video series: Conversations on Quality https://linear.app/quality - Our recent tender offer: Sharing Linear’s growth with the people building it https://linear.app/now/sharing-growth-with-the-people-building-linear A note on recruitment fraud: all official Linear hiring communication comes from an @linear.app http://linear.app email address, and all open roles are listed at linear.app/careers http://linear.app/careers. We never ask candidates for payment or financial information. Suspicious messages can be reported to security@linear.app. Linear is an equal opportunity employer. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.

Location: North America; Europe Workplace: Remote At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires. Founded in 2019, Linear has become the platform of choice for more than 50,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship. Linear is becoming a much broader product than people realize. With agents, mobile workflows, and new modalities, there’s a growing gap between what Linear can do and what people think it can do. This role exists to close that gap. We’re looking for someone who will live inside the product, discover what’s possible, and show the world. That means figuring out the most compelling use cases for Linear’s AI agent, demonstrating real workflows that teams can adopt, and getting those stories out through whatever format works best, whether that’s a tweet, a video, a blog post, or a live demo at a conference. The goal is to help people understand what they can actually do with Linear and make that feel concrete and exciting. Think of it as a product-obsessed marketer who is genuinely technical and knows how to communicate with depth. Location & work mode Linear is a remote-first company, with optional co-working offices in San Francisco, New York, and London. This role is open to candidates based in the US and Europe. You can work from anywhere within those regions. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel. What you’ll do - Deeply understand Linear’s product, especially our AI agent and newer capabilities, and continuously discover productive, real-world use cases that teams would care about - Create content that demonstrates those use cases, whether that’s short-form social, blog posts, video walkthroughs, or live demos. Format follows the story, not the other way around - Build relationships with engineering and product-focused creators and collaborate on content that feels authentic rather than sponsored - Work with our video team to produce technical product content that comes across with genuine depth - Partner with support, sales, and product on developer-facing documentation and educational content - Stay plugged into the conversations happening on X, in newsletters, and at events, and make sure Linear has a voice in the ones that matter What we’re looking for - Someone technical. You get code, understand how software gets built, and can talk about it credibly - Deep product intuition. You’re the kind of person who picks up a tool and immediately starts exploring what’s possible. You think in workflows and use cases rather than features - Comfortable on camera and on stage. You can demo a product, record a walkthrough, or speak at a conference without it feeling forced. - Twitter/X smart. You know how to use the platform, you understand what’s interesting to the people we’re trying to reach, and you can participate in the conversation with credibility - Curious and self-directed. You’re already finding the next interesting thing to talk about on your own, already following the right people and noticing the opportunities - Able to create video content end to end. You should be able to script, record, and edit a product walkthrough or demo without needing to hand it off to someone else What we offer We're a small, focused team that cares deeply about the quality of our work and the people we do it with. Here's what you can expect: - Competitive salary and equity - Employee-friendly equity terms including early exercise in the US and extended exercise windows - Daily meal and coffee stipend on every workday - Paid co-working space or desk - Health coverage (based on country requirements) - 5 weeks paid vacation, plus local statutory holidays - 4 months paid parental leave - Paid month off after 4 years & every 2 years thereafter - Regular team events and off-sites - Remote-first with no required commute Learn how we think and work - A story about our mission: Read Me https://linear.app/readme - Our hiring process: How we hire at Linear https://linear.app/now/how-we-hire-at-linear - How we work: Designing remote work at Linear https://linear.app/now/designing-remote-work-at-linear - Our CEO and co-founder, Karri at 20VC: How to Grow Capital Efficiently in a World of BS Growth https://www.youtube.com/watch?v=4vqDYkuzbSM - Make an Org Chart You Want to Ship — Advice from Linear on How Heirloom Tomatoes Should Inspire Team Design https://review.firstround.com/make-an-org-chart-you-want-to-ship-advice-from-linear-on-how-heirloom-tomatoes-should-inspire-team-design/ - Building our teams: Why and how we do work trials at Linear https://linear.app/blog/why-and-how-we-do-work-trials-at-linear - A video series: Conversations on Quality https://linear.app/quality - Our recent tender offer: Sharing Linear’s growth with the people building it https://linear.app/now/sharing-growth-with-the-people-building-linear A note on recruitment fraud: all official Linear hiring communication comes from an @linear.app http://linear.app email address, and all open roles are listed at linear.app/careers http://linear.app/careers. We never ask candidates for payment or financial information. Suspicious messages can be reported to security@linear.app. Linear is an equal opportunity employer. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.

Location: San Francisco; Toronto; New York; Montreal; Seattle Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE Voice is becoming the internet’s next interface, but a production-grade Voice AI system is "hard to build" https://greylock.com/greymatter/voice-agents-easy-to-use-hard-to-build/. You’ll join a small founding team of Baseten Voice AI, focused on bringing state-of-the-art open source models into production for Voice AI customers across productivity, customer service, clinical conversation, creator tools, education, and more. You’ll make a meaningful impact on people’s daily lives and help reshape these industries. This is a high-impact, high-ownership role. You will be the primary owner of Baseten Voice AI - our in-house inference stack to power Voice AI models - from product roadmap through engineering implementation. You’ll partner closely with Forward Deployed Engineers, Model Performance Engineers, and sister engineering teams to push the boundaries of Voice AI. EXAMPLE INITIATIVES - Develop world-class model serving stack for state-of-the-art open-source voice models - reduce end-to-end and tail latency (p95/p99), increase throughput, and improve GPU efficiency via profiling, runtime tuning, and server-level optimizations. - Build large-scale, real-time infrastructure for multi-model voice agents - orchestrate STT, TTS, and agent components with streaming I/O to meet customer SLOs. - Design tight training and inference iteration loops for voice model customization - enable fast evaluation, safe rollout, and rapid experimentation for custom voice model development. - Past projects: - Baseten leads Coval’s voice AI benchmark https://www.baseten.co/blog/baseten-leads-covals-voice-ai-benchmark/ - How Notion achieved 2-3x lower latency with AI Meeting Notes https://www.baseten.co/resources/customers/how-notion-acheived-2-3x-lower-latency-with-ai-meeting-notes/ - Cost-efficient, high-performance TTS with Qwen3-TTS https://www.baseten.co/blog/cost-efficient-high-performance-qwen3-tts/ - Fine-tuning Qwen3-TTS for high-quality voice cloning https://www.baseten.co/blog/fine-tuning-qwen3-tts-for-high-quality-voice-cloning/ - The fastest Whisper — with streaming and diarization https://www.baseten.co/blog/the-fastest-whisper-transcription-with-streaming-and-diarization/ - NVIDIA Nemotron 3 Diarization: real-time speaker labels at a cent per audio hour https://www.baseten.co/blog/nvidia-nemotron-3-diarization/ RESPONSIBILITIES - Own and lead Voice AI product areas end-to-end - from architecture and system design through implementation, rollout, and long-term production operations. - Design, build, and operate real-time, large-scale, high-performance model serving systems for STT, TTS, and voice agent workloads for mission-critical customer deployments - Drive cross-team collaboration with sister engineering teams to solve full-stack technical problems, align on priorities, and coordinate end-to-end delivery across the product surface area - Mentor teammates through code reviews, design docs, and technical leadership. REQUIREMENTS - Bachelor's degree or higher in Computer Science or related field - Proven track record owning production-grade real-time, large-scale systems where tail latency (p99) matters. - Proficient coding abilities in one or more popular programming or scripting languages; Python proficiency is a plus. - Good taste in product, particularly developer-oriented tools - Interest in ML/AI infrastructure and willingness to learn - Strong collaboration and communication skills - Comfortable using AI coding assistants (e.g., Claude Code, Codex, Cursor) as a daily productivity multiplier — as an AI-native company, we see this as a must-have skill. NICE TO HAVE - Experience implementing pipeline-level model runtime optimizations such as dynamic batching, async scheduling, or decode-side throughput improvements. - Experience building developer platforms: SDKs, CLIs, APIs, and self-serve workflows for ML or infrastructure products. - Experience with containerization and orchestration technologies (Docker, Kubernetes), service meshes, or distributed scheduling. - Familiarity with speech/audio ML models (STT, TTS, speech-to-speech) - Familiarity with model-serving runtimes (vLLM, TensorRT, ONNX). - Familiarity with systems-level performance profiling across host-device boundaries (e.g. PyTorch Profiler), diagnosing GPU utilization issues - Exposure to customer-facing engineering: pre-sales prototyping, technical discovery, or working directly with customers to ship solutions. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: North America Workplace: Remote At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires. Founded in 2019, Linear has become the platform of choice for more than 50,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship. Quality is our competitive advantage. Every member of our fully remote team is a maker at heart, caring deeply about the quality and feel of our work. While the industry optimizes for speed and metrics alone, we believe that craft and quality have lasting value. Quality creates gravity — it pulls people toward our team and product rather than requiring us to push. This philosophy drives everything we do, from product decisions to hiring choices. For this role, we expect robust design skills, sharp product thinking, and the ability to engage in technical discussions. We work in small, autonomous project teams, where engineers are paired tightly with designers to explore ideas, build prototypes, deploy internal builds, and ultimately ship to customers. You will be a key element of projects from beginning to end. Location & work mode Linear is a remote-first company, with optional co-working offices in San Francisco, New York, and London. This role is open to candidates based in North America. You can work from anywhere within this region. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel. What you'll do - Pair closely with engineering and product to initiate and complete roadmap projects, no hand-offs - Spot opportunities to redesign or refine key screens and flows, as well as smaller quality issues and “paper cuts” as you use Linear - Create mockups, prototypes, and high-fidelity visuals to communicate ideas and describe their execution - Guide and inspire fellow designers through collaborative critique of work-in-progress - Use and improve our lightweight design system components - Help with hiring new teammates that can elevate our team and product What we’re looking for - 7+ years experience designing software - Courage to ask questions, experiment, and advocate for what you feel is right - Humility to accept feedback, adapt your thinking, and iterate toward the best solution - Experience with prototyping in Figma (and beyond with tools like AI, HTML/CSS, Origami) - Ability to distill problems and feedback, then design clear, focused solutions - Effective written and verbal communication skills — much of our work is async What we offer We're a small, focused team that cares deeply about the quality of our work and the people we do it with. Here's what you can expect: - Competitive salary and equity - Employee-friendly equity terms including early exercise in the US and extended exercise windows - Daily meal and coffee stipend on every workday - Paid co-working space or desk - Health coverage (based on country requirements) - 5 weeks paid vacation, plus local statutory holidays - 4 months paid parental leave - Paid month off after 4 years & every 2 years thereafter - Regular team events and off-sites - Remote-first with no required commute Compensation For US-based candidates, the expected cash compensation range for this role is $220,000—$268,250. For sales roles, this range represents on-target earnings (OTE), including base salary and variable compensation; for all other roles, it represents base salary. Final compensation is determined based on job-related knowledge, skills, and experience. For sales roles, actual earnings vary based on sales performance. Equity is a meaningful part of all offers at Linear. Learn how we think and work - Part I https://linear.app/blog/a-design-reset and Part II https://linear.app/blog/how-we-redesigned-the-linear-ui of how we redesigned the Linear UI - Our hiring process: How we hire at Linear https://linear.app/now/how-we-hire-at-linear - Read me https://linear.app/readme a story about our mission - Why and how we do work trials https://linear.app/blog/why-and-how-we-do-work-trials-at-linear Linear blog post - How we use AI in design https://designerfund.substack.com/p/ai-design-linear feature of Linear's design team - Crafting quality that endures https://www.youtube.com/watch?v=pCil7YNhNCU Config keynote by our Co-founder & CEO, Karri Saarinen - Our recent tender offer: Sharing Linear’s growth with the people building it https://linear.app/now/sharing-growth-with-the-people-building-linear A note on recruitment fraud: all official Linear hiring communication comes from an @linear.app http://linear.app email address, and all open roles are listed at linear.app/careers http://linear.app/careers. We never ask candidates for payment or financial information. Suspicious messages can be reported to security@linear.app. Linear is an equal opportunity employer. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.

Location: Singapore Workplace: Remote ClickHouse is the open-source, real-time analytical database behind a lot of today's AI. More than 4,000 companies build on ClickHouse, including Anthropic, OpenAI, Tesla and Meta. As a Consulting Engineer, you're the hands-on engineer on our customers' most important projects. When a customer needs to migrate, integrate, or prove ClickHouse on a real workload, you work in the build alongside their engineers: you design it, build it, test it and hand it over. You'll work on a broad mix of projects for customers across APJ, from moving large workloads off other databases to building new real-time analytics on ClickHouse. Each one is scoped with clear goals from the start, so you know what success looks like and can get stuck in. It's a fast way to build deep experience across lots of different data problems. The consulting function at ClickHouse is less than a year old, so you'll help shape how ClickHouse delivers this work as the team grows. Between projects you take cases alongside support engineers, which keeps you close to day-to-day support. WHAT YOU'LL DO - Turn customer goals into a scoped project with measurable success criteria, sizing and a timeline - Design a target architecture and prove it against the customer's own data: schema and engine design, capacity and sizing, proofs of concept - Do the build: implementation, pipelines and integrations, migration execution, tooling and automation - Measure it before it matters, with benchmarking, load and functional testing, then support the cutover - Tune what production reveals, then hand over with an engagement report and knowledge transfer, so the customer's team can run it without you - Take L1 to L3 cases alongside support engineers when you're between projects - Feed what you see in the field back to Product and Engineering, and turn your work into reference architectures, knowledge base articles and blog posts - Work in a constant feedback loop with the Pre-sales team to ensure that the demos and POCs they present are credible when you put them into production WHAT YOU'LL BRING - 5+ years delivering hands-on technical work for customers, whether your title was consultant, professional services, solutions architect, senior support, SRE or something else - Real depth in databases, whether analytical, transactional or relational - Hands-on SQL. You regularly write complex queries from scratch, and tune and debug them yourself - You've owned implementations, migrations or POCs for external customers from start to finish - Hands-on cloud experience (AWS, GCP and/or Azure) - You've deployed and run workloads on Kubernetes yourself - You've run distributed systems, such as distributed databases, in production - You give precise technical answers and explain them clearly - Fluent English NICE TO HAVE - Experience with ClickHouse - Migrating analytical workloads from systems such as PostgreSQL, Snowflake, BigQuery or Elastic - Terraform - Data pipelines and streaming, such as Kafka, Kinesis, Spark or Debezium - Python, Bash or Go - Involvement in open source, as a user, contributor or community member GOOD TO KNOW - This role is remote in Singapore - Travel to customer sites is part of the job, up to 35% of your time, depending on the project: some need none, others weekly visits - You'll join our APJ Support Services team, alongside Support Engineers and TAM Architects - You'll be part of the on-call rotation, about one week a quarter, with time off in lieu if you're paged at a weekend HOW WE HIRE - A 30-minute call with our recruiter - A conversation with the hiring manager - A take-home exercise, designed to take three to four hours, with three working days to complete it - A 90-minute technical interview with the team: you'll walk us through your take-home, then join a working session where you write and tune SQL live - A final conversation with our VP of Support Services - References, then an offer The working session is without AI tools, so make sure you're comfortable writing queries from scratch. Download open-source ClickHouse and practise: it's free, easy to install, and great preparation. PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Remote - Bay Area MinIO is the data and memory foundation for enterprise AI. Built for the speed, scale, and economics that AI and analytics demand, AIStor and MemKV unify every layer of the data stack, from agentic and inference context memory to tables and objects across core, edge, and cloud. Trusted by 77% of the Fortune 100, MinIO is redefining how AI factories, intelligent applications, and autonomous agents secure, persist, and unlock the full value of their data. The Field Architect role at MinIO is a senior customer-facing technical leadership position focused on defining, validating, and guiding AIStor architectures for AI, analytics, cloud-native applications, and large-scale data infrastructure. You will serve as a trusted technical advisor to customers, partners, and internal teams, translating business and application requirements into robust technical designs that deliver measurable outcomes. You will collaborate closely with the broader MinIO team to ensure customers are successful through technical discovery, architecture design, proof-of-value execution, production onboarding, performance validation, and long-term expansion. Success in this role requires deep technical curiosity, hands-on architecture skills, strong communication, and the ability to connect AIStor’s capabilities to the data-intensive workloads that matter most to our customers. What You Will Do: Technical Leadership & Architecture Technical Architecture and Discovery: Lead technical discovery with customers and partners to understand their business goals, application requirements, data architecture, infrastructure constraints, and success criteria. Define scalable AIStor architectures that map directly to those requirements. AI and Analytics Workload Design: Define and validate AIStor architectures for AI/ML training and inference, analytics platforms, data lakehouse environments, high-performance data pipelines, large object workloads, and modern application data services. Object Storage and S3 Expertise: Serve as a subject matter expert in object storage, S3-compatible architectures, distributed systems, metadata, replication, erasure coding, security, performance tuning, and large-scale namespace design. Customer Engagement & Advisory Customer Technical Advisor: Build trusted relationships with customer technical stakeholders, including infrastructure, platform, analytics, AI, security, application, and operations teams. Guide customers toward informed architecture decisions and proactively identify opportunities to improve performance, resilience, scale, and operational efficiency. Proof-of-Value Execution: Lead technical evaluations, system configurations, performance testing, interoperability validation, and proof-of-value engagements that demonstrate AIStor’s value in real customer environments. Customer Success Beyond the Win: Partner with Customer Engineering, Product Management, and Engineering teams to help customers move from evaluation to production and from initial deployment to broader adoption across additional workloads, teams, and use cases. Ecosystem, Enablement & Field Operations Cloud-Native and Kubernetes Guidance: Provide technical leadership on Kubernetes, containers, automation, and cloud-native deployment patterns, including hybrid cloud, private cloud, public cloud, and edge infrastructure models. Solution Integration and Ecosystem Collaboration: Work with technology partners, reseller partners, and customer teams to support complete solutions involving analytics engines, AI platforms, Kubernetes distributions, data protection tools, identity systems, observability platforms, and public cloud services. Technical Presentations and Enablement: Build and deliver compelling architecture presentations, whiteboard sessions, demonstrations, best practices, workshops, and technical enablement sessions for customers, partners, and internal teams. RFP, RFI, and Technical Response Support: Contribute to or lead technical portions of RFPs, RFIs, RFQs, security reviews, architecture questionnaires, and competitive evaluations. Product Intelligence & Market Expertise Product and Engineering Feedback: Advocate for customer requirements internally by capturing field feedback, competitive insights, workload patterns, integration needs, and enhancement opportunities. Work with Product and Engineering teams to help inform roadmap priorities and improve customer outcomes. Competitive and Market Expertise: Stay current on object storage, data lakehouse, AI infrastructure, analytics, Kubernetes, cloud, and competitive storage trends. Help internal teams and customers understand where AIStor is differentiated. Your Skills and Experience: Strong background in enterprise storage, object storage, distributed systems, cloud infrastructure, data platforms, or high-performance data-intensive applications. Strong understanding of object storage concepts and S3-compatible architectures; experience with HTTP, REST APIs, JSON, security models, replication, data protection, and scale-out system design is highly valuable. 10+ years of experience in a senior customer-facing technical role such as Field Architect, Solutions Architect, Sales Engineer, Systems Engineer, or Technical Consultant. Hands-on experience with Linux, networking, storage systems, virtualization, containers, Kubernetes, and modern data center infrastructure. Experience designing or supporting AI, machine learning, analytics, data lakehouse, or large-scale data pipeline environments. Familiarity with ecosystem technologies such as Databricks, Starburst, Spark, Trino, Iceberg, Delta Lake, Kafka, PyTorch, TensorFlow, or other AI and analytics frameworks is a strong plus. Experience with public cloud and hybrid cloud environments, including AWS, Azure, GCP, OCI, or private cloud platforms. Ability to conduct technical discovery, design architectures, build demonstrations, guide proof-of-value execution, analyze performance, and communicate tradeoffs clearly. Comfortable working with heterogeneous enterprise environments involving compute, storage, networking, security, identity, observability, backup, disaster recovery, and application teams. Strong verbal, written, whiteboarding, and presentation skills, with the ability to communicate complex technical concepts to both technical and executive audiences. Ability to work collaboratively across customers, partners, Sales, Product, Engineering, and Customer Engineering teams. Strong customer-success orientation, intellectual curiosity, sense of ownership, and ability to prioritize effectively in a fast-moving environment. Willingness to travel as needed to support customers, partners, field events, and internal team activities. Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related technical field; equivalent practical experience will also be considered. What We Offer: Health Care Plan (Medical, Dental & Vision) 401K with 3% Contribution Pre-IPO Stock Options At least 12 Public Holidays Flexible Time Off Pay Transparency MinIO determines compensation based on several factors including but not limited to job location, experience, applicable skills and training, external market value, and internal pay equity. The salary range for this position is $200,000 - $225,000 base with commission. Actual offer will be based on your qualifications. For positions with Remote-US locations, the actual salary range for the position may differ based on location but will be commensurate with job duties and relevant work experience. Equal Opportunity Policy (EEO) MinIO is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.

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 the role The RL Velocity team owns the efficiency and reliability of our RL Science stack - the infrastructure, tooling, and systems that let researchers iterate quickly on training runs. As a Research Engineer on the team, you'll build and improve the core platform that underpins how we do RL at Anthropic, removing bottlenecks that slow down research and making it easier for the broader org to ship better models faster. This is high-leverage work: small improvements to velocity compound across every researcher and every run. Responsibilities Build and improve the RL training infrastructure that researchers depend on day-to-day Identify and remove bottlenecks across the RL stack: debugging, profiling, and rearchitecting where needed Partner closely with researchers and with adjacent engineering teams (inference, sandboxing, and many more) to understand pain points and ship tooling that makes them faster Own the reliability and performance of research runs end-to-end Contribute to design decisions that shape how Anthropic does RL at scale You may be a good fit if you Have strong software engineering fundamentals and a track record of building performant, reliable systems Have worked on ML infrastructure, distributed systems, or research tooling Care about enabling other people's work and find leverage through platforms rather than individual experiments Are comfortable operating across the stack, from low-level performance work to RL algorithms Have a bias toward shipping and iterating quickly, with a mix of high agency and low ego Strong candidates may also have Experience with large-scale distributed training (RL, pre-training, or post-training) Familiarity with JAX, PyTorch, or similar ML frameworks A track record of operating at the edge of research and infra in a fast-moving environment Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £370,000 — £630,000 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote-Friendly (Travel-Required) | San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The RL Velocity team owns the efficiency and reliability of our RL Science stack - the infrastructure, tooling, and systems that let researchers iterate quickly on training runs. As a Research Engineer on the team, you'll build and improve the core platform that underpins how we do RL at Anthropic, removing bottlenecks that slow down research and making it easier for the broader org to ship better models faster. This is high-leverage work: small improvements to velocity compound across every researcher and every run. Responsibilities Build and improve the RL training infrastructure that researchers depend on day-to-day Identify and remove bottlenecks across the RL stack: debugging, profiling, and rearchitecting where needed Partner closely with researchers and with adjacent engineering teams (inference, sandboxing, and many more) to understand pain points and ship tooling that makes them faster Own the reliability and performance of research runs end-to-end Contribute to design decisions that shape how Anthropic does RL at scale You may be a good fit if you Have strong software engineering fundamentals and a track record of building performant, reliable systems Have worked on ML infrastructure, distributed systems, or research tooling Care about enabling other people's work and find leverage through platforms rather than individual experiments Are comfortable operating across the stack, from low-level performance work to RL algorithms Have a bias toward shipping and iterating quickly, with a mix of high agency and low ego Strong candidates may also have Experience with large-scale distributed training (RL, pre-training, or post-training) Familiarity with JAX, PyTorch, or similar ML frameworks A track record of operating at the edge of research and infra in a fast-moving environment Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $500,000 — $850,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: 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 one of our offices in NYC or San Francisco, but open to hiring around the US for the right candidate. Join the frontier of shaping generative AI video and its legal landscape as an early lawyer at Runway. We are looking to hire a Commercial Counsel who has a strong background in B2B SaaS customer negotiations. Other nice-to-have experience includes: legal operations, privacy, and strategic IP-heavy partnerships, and product counseling. You are a self-starter who thrives at getting things done in fast-paced, unstructured environments. You have a passion for helping companies build and bringing scalable initiatives across our commercial and other legal workstreams. While the role is in large part focused on the commercial legal function, you might also bring to the table generalist experience across domains such as data privacy, vendor negotiations, and compliance. You will serve as a strategic thought partner to cross-functional teams from sales to partnerships to marketing and to the Runway Executive Team. Comfort working within a highly technical, rapidly evolving area of the law is a must. WHAT YOU’LL DO - Lead negotiations with Runway’s customers and strategic partners. These include B2B SaaS customer contracts for our generative AI SaaS platform and APIs, DPAs, partnership agreements, and vendor agreements. - Implement commercial processes, tools, and infrastructure to help us scale, including improving templates, playbooks, contract review automation, and our legal tech stack - Empower the sales team with tools and knowledge to close deals quickly - Dive into the technical aspects of our generative AI products to learn them inside and out, to inform your advice to the business - Closely follow technical, legal, and policy developments in the generative AI space WHAT YOU’LL NEED - A J.D. and admission in good standing with at least one state bar - 3+ years of negotiating complex technology transactions, including 1+ years negotiating B2B SAAS customer contracts on a commercial legal team at a fast-paced late stage private or mid-sized public B2B SaaS company - In addition to B2B SaaS customer contract negotiations, experience with data privacy, legal operations, strategic IP-heavy partnerships and preferably B2C legal issues are nice-to-have - Bias for action and a willingness to take ownership - Growth mindset that prioritizes continuous operational improvement and service excellence - Experience with scaling business processes globally and operating in environments that have achieved significant scale - Excitement about generative AI and motivation to continuously learn more about the legal landscape governing a new and exciting industry 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: Philippines; Brazil Paired is a global staffing and recruiting agency that pairs remote work with top-tier talent. We help individuals from around the world connect with great companies that are looking for their specific skill set. Our mission is to provide great jobs to talented people, no matter where they are located. We are looking for an absolute weapon of an AI Creative Strategist and Editor. This is not a role for a traditional copywriter or a slow-moving agency editor. We need a "cracked" hybrid: someone who lives at the bleeding edge of AI generative tools, possesses the ruthless efficiency of a native direct-response video editor, and understands the deep psychology of brand world-building. Your mandate is clear: I own the Shoot Day Scripts and the core vision. Once those are locked and the raw assets (or core ideas) are handed off, you take the wheel. You are a self-contained production pod. Half of your brain is a direct-response killer who thrives in the timeline; the other half is a visionary artist building an aesthetic universe. You take the brief and return with a massive volume of high-converting gold. What You Will Do The Handoff & Execution: Take locked Shoot Day Scripts, raw b-roll, and core hooks, and autonomously transform them into a fully built-out ad ecosystem. You require zero hand-holding in post-production. Hardcore DR Editing: You are ruthless in the timeline (Premiere, CapCut, AE). You know exactly how to chop b-roll for maximum retention, sequence aggressive captions, and manipulate pacing to optimize thumb-stop ratios and click-through rates. Rapid Hook Iteration: Take one winning concept or piece of raw footage and aggressively chop it into dozens of hook variants (A/B testing visuals, pacing, text overlays, and AI voiceovers) to crush CPA goals and combat ad fatigue. Organic World-Building & "Art": Generate breathtaking, non-DR organic content designed purely to associate thoughts, feelings, and ideas with our brand. You use AI to create cinematic, highly aesthetic "art" that builds brand aura and commands attention without directly asking for a sale. Mass AI Content Generation: Spin core concepts into dozens of high-fidelity ad variants using AI image, video, and voice generation to supplement and elevate practical footage. VFX & Polish: Elevate both raw footage and AI generation with actual VFX, motion graphics, and sound design. You composite, blend, and fix artifacts so the final output looks premium, not plastic. Requirements DTC Native & Timeline Obsessed: You actually understand how e-commerce ads work. You don't just edit; you edit to convert. You know Eugene Schwartz/Ogilvy principles, pacing for TikTok/Reels vs. Meta, and how to build a high-converting funnel. Top-Tier AI Proficiency: Master of tools like Midjourney, Runway Gen-2, Pika, ComfyUI, Stable Diffusion, and ElevenLabs. You understand seed control, inpainting, and prompting at an advanced level. The "Cracked" Mentality: You operate with extreme speed and autonomy. You experiment, break things, and deliver a volume of output that makes normal agencies look like they are standing still. Dual-Threat Aesthetic Range: You possess the unique ability to pivot seamlessly. You can edit aggressive, tactical, fast-paced direct response ads one day, and switch to crafting moody, cinematic, emotionally resonant brand art the next. VFX / Post-Production Mastery: Deep proficiency in Premiere and After Effects (Nuke is a plus). You know how to track, rotoscope, composite, and seamlessly blend AI generation with real-world b-roll. Benefits Remote Working for US Company Exposure to new technology & trend Competitive Salary

Location: South Africa; Philippines; Pakistan; Argentina; Mexico; Colombia About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe & Australia. Unlike an outsourcing agency, we place you directly with a client where you're hired in-house to work as a valued member of their team. Please note that by applying & completing our interview process, you will be added to our community. This means you’ll be considered for this and all other possible roles that may match your skills. These potential opportunities will be sent your way as an exclusive Huzzle candidate. Job Type: Full-time Location: Remote Start Date : Immediate About the Company Our client is an innovative AI-driven company focused on building and deploying “AI employees” that automate business workflows and enhance operational efficiency. They specialize in integrating cutting-edge automation tools and large language models (LLMs) to streamline client operations across multiple industries. Job Summary We are seeking a highly skilled Technical Project Manager with hands-on experience in workflow automation and AI/LLM integrations. This role is ideal for someone who can bridge technical execution and business strategy—leading projects that involve tools like n8n, Zapier, and AI platforms such as OpenAI, Gemini, and Claude. You will manage end-to-end delivery of automation and AI-driven initiatives, working closely with developers, stakeholders, and cross-functional teams to ensure projects are delivered on time, within scope, and aligned with business objectives. Key Responsibilities Lead and manage technical projects focused on automation and AI implementation Design and oversee workflows using tools like n8n, Zapier, Make (Integromat), or similar platforms Coordinate the integration of LLM APIs (e.g., OpenAI, Gemini, Claude) into business processes Collaborate with engineering, product, and operations teams to define project scope and deliverables Translate business requirements into technical specifications and actionable tasks Monitor project timelines, budgets, and performance metrics Identify risks, troubleshoot issues, and ensure smooth project execution Optimize workflows and processes for scalability and efficiency Maintain clear communication with stakeholders and provide regular updates Requirements 3+ years of experience as a Technical Project Manager or similar role Proven experience with automation tools (n8n, Zapier, Make, etc.) Hands-on experience working with LLMs and AI tools (OpenAI, Gemini, Claude, or similar) Strong understanding of APIs, integrations, and system architecture Experience managing remote technical teams and cross-functional stakeholders Familiarity with Agile, Scrum, or other project management methodologies Excellent problem-solving, communication, and organizational skills Ability to balance technical depth with business impact Background in SaaS, AI startups, or automation-focused environments Experience with prompt engineering and AI workflow design Basic coding knowledge (Python, JavaScript, or similar) Experience with CRM systems and data pipelines Benefits 💻 Fully Remote: Work from anywhere with international teams 🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services 🤝 Peer Community: Connect with high-performing sales professionals in our network 🧭 Ongoing Support: Receive guidance from Huzzle before and after placement 💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals

Location: London, England Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. We’re looking for a Senior Product Manager to join our team and help shape the future of business messaging and AI-powered customer engagement. This is a career-defining opportunity to lead a world-class team of engineers, designers, and researchers to deliver products that touch millions of people every day. What will I be doing? Be the Product Manager for the Messenger, Fin’s most important channel Deeply understand the customer problems you’re tackling through research, data, and direct customer interactions — then frame those problems clearly for your team. Manage the roadmap; defining what should be built, when and why - and communicate it to generate alignment and excitement. Collaborate with engineers and designers to imagine, build, and ship solutions, from bold future visions to small, focused iterations. Leverage AI to increase your own efficiency, accelerate product development, and multiply your team’s impact. Evaluate impact through quantitative and qualitative measures, both in beta and after full release. Own and maintain the quality of your product area, ensuring every release delivers world-class software. Collaborate with peers across the business to ensure we deliver products with clear GTM strategy and execution, getting hands on wherever necessary to ensure we deliver. Be a leader in your team or projects by role-modelling our company values and R&D principles. What skills do I need? There is no minimum years of experience for this role. We’re interested in your impact, drive, and potential. Instead of years, we’ll be looking for evidence that you’ve applied and grown these skills: Sharp Customer Focus & Problem Framing - able to independently understand, define and articulate complex customer problems and opportunities using data analysis and qualitative inputs. Compelling Roadmaps - define the roadmap of features, products or areas of focus for your given area, communicating what, when and why to generate excitement with customers and the teamExcellent Product Judgment - skilled at balancing customer needs, business impact, and technical constraints to define, advocate for, and deliver the right product. Build World-Class Product - able to deeply collaborate with engineering and designers to quickly ship effective solutions. But, also able to independently accelerate the process leveraging AI. AI Tech - Able to understand AI systems and LLMs, assess feasibility and trade-offs, and make informed product decisions in close collaboration with engineering. Technical fluency - Comfortable engaging with engineers and customers on the modern tech stack — from APIs and SaaS infrastructure to low-code tooling and system architecture. Outcome Oriented - define, fight for and share progress against the customer and business impact of your product area or project. Leadership - Excellent communicator. High ownership. Ability to influence and drive alignment. #LiHyrid Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Location: VIKING OCEAN CRUISES, Worldwide ISMIRA Agency actively recruiting for position ASSOCIATE GENERAL MANAGER for VIKING OCEAN CRUISES! Purpose of position: Reporting directly to the General Manager, the Associate General Manager is overall responsible for the entire ship financial operation, including revenue and cost management, as well as guests and crew administration. Responsible to implement and enforce all necessary actions to ensure the Viking Ocean Product is de-livered smoothly and flawlessly, in line with budget and targets. Viking is a strong and dynamic company with a growing fleet of more than 80 river ships and eight ocean vessels cruising over 100 itineraries around the world. In 2022, Viking guests could enjoy the comfort and elegance of our award-winning fleet with 8 new river ships, two expedition ships built specifically to explore the world's most remote destinations, and a unique Mississippi River ship in the U.S. In 2023 Viking celebrates the inaugural season of our Ocean vessel the Viking Neptune and our 9th Ocean vessel the Viking Saturn. WHY IS IT COOL TO BECOME A VIKING? Paid flights to and from the ship Legal employment 6 months on, 2 months off based on 10-hour work day Fixed return dates at the end of your contract Free shipwide Wi-Fi Free accommodation Opportunities for growth and advancement in your career RESPONSIBILITIES Overseeing the ship financial operation, reporting and statistics and internal auditing as required, including accounting, payroll and cruise closing Ensure that all Hotel Department operations are conducted economically, in alignment with financial targets. Overseeing and accountability for ship’s funds and cash availability. Receive weekly inventory reports from all sources in the Hotel Department, ensuring that supplies are sufficient but not excessive. Responsible for the accurate submission of Cruise End financial reports. Plan all Shop/Concessionaire’s events with Department Heads. Overseeing sale of shore excursions and tour dispatches. To be familiar with the legal aspects of Crew employment, Health and Safety at work, the company’s SMS and Environmental Policies and all other company directives governing the administration of Crew and Port Operations. Active involvement and ownership in all F&B outlets including quality and service assurance by identifying flows and establishing a healthy and effective training routine. Provide visible leadership by example while interacting with guests and crew Proven skills to be confident when dealing with Guest feedback Support all teams during peak hours, be available to guests and crew for feedback and general inquiries. ETC. YOUR PROFILE Minimum 21 years old Min. 5 years Food & Beverage Manager or Assistant General manager or higher in a luxury/ premium property, with a minimum of 3 years of ships and managing experience in this position or higher Diploma from international recognized hotel school or university. Financial background and Exposure to Budgeting and financial analysis. Proven public health knowledge. Completed appropriate HR training, craft training or equivalent. Excellent English skills in both writing and speech, other languages a plus Service and detail oriented with a strong guest focus Excellent management, organizational and communication skills NOTE: Nationalities that we can process: 🇱🇹 🇱🇻 🇪🇪 🇵🇱 🇷🇺 🇧🇾 🇺🇦 🇲🇩 🇰🇿 🇺🇿 🇦🇲 🇬🇪 🇦🇿 🇹🇯 ! 🇰🇬 🇹🇲 citizens can be accepted if they know and speak Chinese language (Mandarin) You can submit your Resume here by pushing APPLY TO POSITION button below If you are not sure what position to apply for, you may instead submit a general application here and we will advise you: https://ismira.breezy.hr/p/c3fb653b09b501-general-application-for-hospitality-positions Last updated: February 3, 2025

Location: Mumbai, India We Are? We are EnerMech, a specialist service company that delivers safe, integrated solutions for complex energy projects. For over 50 years, we've been energizing our clients across the world with unrivalled expertise, equipment, and technology that supports the entire asset life-cycle offshore and on land. We enable progress through our three global business lines: Energy Solutions, Infrastructure & Industrial Solutions, and Lifting Solutions. Within these areas, we offer a wide range of services, including cranes, lifting, fluid power, training, equipment rental, pipeline and subsea, process, and valves all designed to help our clients optimize performance, enhance reliability, and improve efficiency. With a focus on operational excellence, we deliver value through our customized integrated solutions. This approach reduces risk and enhances efficiencies making us a leading and trusted partner every step of the way. The Role and Responsibilities Job Role The Billing Coordinator is responsible for creating and managing invoices accurately and on time. The role supports the commercial team by ensuring all billing activities comply with contracts and purchase orders. Key Responsibilities Prepare and issue sales invoices with all required supporting documents. Maintain and update billing schedules to include all charges. Track spending against client purchase orders and alert when limits are near. Respond to client queries about invoices in coordination with the commercial team. Review overdue invoices and follow up with client operations or supply chain contacts. Assist with cost accruals and ensure timely submission as per finance requirements. Support preparation of internal and external cost reports for project reviews. Ensure invoices are correct and sent on time for prompt payment. Perform other tasks as directed by management. The Requirements Qualifications Essential: Bachelors degree in commerce or equivalent. Minimum Experience of 1-3 years in invoice generation and cost control. Skills & Competencies Essential: Good communication and confidence to handle pressure. Proficient in Microsoft Office and basic computer skills. Ability to learn and follow processes. Able to work under pressure and shifts. Personal Qualities Professional and proactive attitude. Organized and detail-oriented. Team player with clear communication skills. Adaptable to changing business needs. Diversity & Inclusion EnerMech is dedicated to fostering a diverse and inclusive organisation. We believe that diversity enriches our team, and we welcome applications from candidates of all backgrounds, cultures, and identities. You will have good organisational and time management skills with the ability to meet deadlines, along with effective communication skills.

Location: San Francisco, CA; New York, NY Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs. WHAT YOU’LL DO As a Forward Deployed Infrastructure Engineer at Sierra, and a founding member of this function, you will own the end-to-end lifecycle of customer deployments, while helping define how Sierra’s AI platform is deployed and operated across enterprise environments. You'll work directly with enterprise customers to architect, deploy, upgrade, and manage Sierra's AI platform infrastructure — ensuring every deployment meets their security, compliance, and operational requirements. In addition, you’ll establish the standards, tooling, and processes that make deployments scalable and repeatable, and partner cross-functionally with Engineering, Product, Sales, and Customer Success. This role will define how Sierra scales some of its most complex customer engagements. - Own deployment architecture conversations and execution — designing and implementing deployment strategies across customer environments, including VPC configuration, permissioning, networking, and infrastructure provisioning. - Manage the full infrastructure lifecycle for some of Sierra’s most critical customers: initial deployment, ongoing upgrades, scaling, and incident support. - Develop and maintain deployment runbooks, upgrade procedures, and automation tooling to make operations repeatable and reliable. - Partner with engineering teams to ensure Sierra's platform is deployable and operable across diverse customer requirements. - Work with customers' platform engineering, security, and DevOps teams to navigate their infrastructure constraints and compliance requirements. - Collaborate with Sales and Customer Success to scope infrastructure requirements during pre-sales and onboarding, translating customer needs into concrete deployment plans. WHAT YOU'LL BRING - 4+ years of experience in infrastructure, DevOps, platform engineering, or solutions architecture roles — with significant time spent on customer-facing deployment work. - Deep experience with AWS services, Terraform, container orchestration, and cloud networking (VPCs, IAM, DNS, load balancing). - Track record of managing deployments in customer-owned cloud environments, including navigating security reviews, compliance requirements, and change management processes. - Ability to navigate ambiguity with enterprise stakeholders — from platform engineers to CISOs — and turn infrastructure conversations into actionable deployment plans. - Strong operational instincts: you think about upgrades, rollbacks, monitoring, and failure modes from the start, not as an afterthought. - Comfortable working in a fast-moving environment and collaborating across engineering, product, and go-to-market teams. - Degree in Computer Science or a related field, or equivalent professional experience. EVEN BETTER… - Hands-on experience with Go services, GraphQL APIs, or LLM infrastructure in production environments. - Past experience at an early-stage company where you built deployment operations, playbooks, and tooling. - Familiarity with observability and incident management in distributed systems (Prometheus, Grafana, Datadog, or similar). - Experience with CI/CD pipeline design, deployment automation, or infrastructure self-service tooling for enterprise customers. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits - Lunch, as well as delicious snacks and coffee to keep you energized when working onsite - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region and employment type, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply through the link on this page even if your experience doesn't precisely match the job description. Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy. We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.

Location: Remote Team: Revenue Operations Reports to: Chief Revenue Officer Location: Remote Type: Full-time The Role You'll be Product Owner across three surfaces : CRM — platform, data model, permissions, lifecycle automation. Partner Product — the cabinet, dashboards, payout logic, and tooling our IBs, affiliates, and KOLs live in. Marketing Enablement — lifecycle stack, AI agents, and the internal tools BD/AM run on. You own the roadmap, backlog, specs, and outcomes with a simple goal in view - to grow revenue. We want a disruptor. Someone who sees a 14-step nurture sequence and asks why an agent isn't running it. Someone comfortable in a product review with engineers and a funnel economics conversation with the CEO. What You'll Do 🛠 CRM Lead the new CRM rollout and adoption across BD, Partnerships, AM, Marketing, Compliance, Support. Own the data model, permissions, and the pipe from platform → warehouse → CRM → activation. Partner Product Own the IB/affiliate/KOL product experience end-to-end. Translate partner and BD feedback into a prioritised backlog; ship with engineering. Build the partner journeys, onboarding, activation, tiering, qualification that turn signups into revenue. Revenue org Enablement & AI Ship AI auto-funnels: agents that score, personalise, route, draft, and hand off. Embed AI into daily BD/AM work: prospect intelligence, meeting prep, auto-logged notes, next-best-action, call QA. Support Acquisition and Retention teams with setting up funnels across email, in-app, SMS, push. Always Test, measure, kill what doesn't work. Report ROI clearly. Iterate. What We're Looking For 🪄 Must-haves Product ownership experience with a track record. Experience in CRM integration/management (Salesforce, HubSpot, Zoho, Zendesk, Customer.io, Braze, or similar). Experience in shipping funnels that actually convert. Hands-on with AI in a revenue context : LLM APIs, agents, prompt engineering, AI-powered outbound. Strong with Dev, Data, Marketing, Sales. Translates well between them. Analytical. Reads cohorts and retention curves, not just reports. Bonus points for Owning a partner/IB/affiliate product before. Shipped AI agents on top of a CRM (scoring, outreach, research, QA). Tools: n8n, Make, Zapier Agents, Clay, Apollo, Smartlead, HeyReach, Retell, Bland. Fintech, crypto, brokerage, iGaming, or other regulated, affiliate-heavy verticals. RAG, vector DBs, internal knowledge agents. A portfolio that shows what you've built , not just where you've worked.