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Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We believe powerful AI can compress a century of scientific progress into a decade. Claude Science is a big part of building toward that future. Claude Science is an AI workbench that gives researchers a single environment for work that today spans dozens of disconnected tools — literature, specialized databases, scientific computing, analysis, and publication-ready outputs. Claude Science already renders protein structures, genome tracks, and chemical structures natively, and coordinates multi-agent workflows with built-in review for citation and calculation errors — and we're just getting started. Much of this is being built 0→1 right now, in a category no one has defined yet. We're growing the Claude Science product team. As a Product Manager on Claude Science, you will own a major area of the roadmap end to end — think expanding into new scientific fields, landing new model capabilities with researchers, or making the workbench ready for enterprise R&D teams — and help shape the overall product direction alongside the rest of the team. You'll spend real time with researchers in academic labs, biotech and pharma R&D, and research institutes to understand how science actually gets done — from hypothesis to analysis to publication and beyond— and turn what you learn into shipped product. You'll partner directly with our research teams to make the models better at science, help decide which fields and workflows we go after next, and shape what it takes for Claude Science to be trusted in enterprise and regulated research environments. We're looking for experienced product managers and founders with real scientific or technical depth: people who can hold their own in a conversation with a structural biologist or a computational chemist, get in the weeds of model transcripts and evals, and still zoom out to help define a product category. You thrive in ambiguity, uncover non-obvious use cases for nascent capabilities, and bring those insights back to research. Our north star is for Claude Science to accelerate scientific progress — across biology, chemistry, physics, and beyond — from early discovery through real-world application, by an order of magnitude. Key responsibilities Own vision, strategy, roadmap, and execution for a major area of Claude Science, and contribute to overall product direction in a category that is still being defined Spend meaningful time with working scientists — in interviews, working sessions, and key customer conversations — and synthesize what you learn into clear priorities, requirements, and success metrics Partner with research to make Claude better at science: define target behaviors, build and shape evals grounded in real scientific workflows, surface failure modes from real usage, and feed them back into model development Drive model and feature launches in your area end to end: define readiness criteria, coordinate across research, engineering, design, and go-to-market, run early access programs, and make sure launches land well with researchers Identify which scientific domains, data sources, tools, and integrations Claude Science should support next, and build the case with evidence from users, usage data, and the broader landscape Prototype ideas yourself with Claude to validate them before committing engineering time Work with safeguards, policy, security, and go-to-market partners so that powerful scientific capabilities reach trusted researchers responsibly, including in enterprise and regulated research settings Drive enterprise readiness  — security and compliance reviews, admin and deployment controls, and the procurement realities of pharma and biotech — so large organizations can adopt it with confidence Prioritize ruthlessly across a broad surface — scientific domains, customer segments, and competing workflows — and make clear calls on what our products serve deeply first, holding the line on MVP versus ideal state Define how success is measured for AI research and development products — adoption and retention among working scientists and operators, time-to-result on real analyses, trust in outputs — and use those measures to steer planning Maintain an objective, current view of the AI-for-science ecosystem — models, tools, benchmarks, and competitors — and of where Claude Science stands within it Minimum qualifications Have product management experience shipping technical products in close partnership with engineering and design, or equivalent experience driving product direction as a founder, engineer, or scientist Have a scientific or deeply technical background — enough to reason with domain experts about their workflows and to diagnose where and why a model is falling short on a scientific task Have a strong grasp of AI and LLM concepts, use AI tools daily, and are comfortable going deep on model behavior, prompting, and evaluation methodology Are data-driven: you ground prioritization in usage data, eval results, and evidence from users rather than intuition alone Have strong user empathy and can synthesize vague or contradictory feedback from expert users into actionable priorities Navigate and execute amid ambiguity as a first-principles thinker, flexing across scientific domains based on the problem at hand and finding simple, easy-to-understand solutions Communicate clearly in writing and can align research, engineering, and go-to-market stakeholders through influence rather than authority Think carefully and creatively about the risks and benefits of putting frontier scientific capabilities into the world, beyond past checklists and playbooks Preferred qualifications 8+ years in product management or equivalent product leadership, including taking products from 0 to 1 and scaling them; founder experience is a plus An advanced degree or hands-on research experience in biology, chemistry, physics, materials science, or a related field — or experience building software for scientists (e.g., computational biology, cheminformatics, lab informatics, simulation, or scientific data platforms) Have personally built evals or benchmarks for model capabilities, ideally agentic or scientific ones Experience shipping products into life sciences, pharma, or other regulated research environments, including familiarity with their data governance and compliance expectations A track record of launching ambitious products that found distribution or commercial success Experience designing trusted-access or staged-rollout programs for sensitive capabilities A creative, hacker spirit and a love of solving hard puzzles 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: $305,000 — $385,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

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

Location: Riyadh, Saudi Arabia Workplace: Hybrid HEALTH CAN’T WAIT. Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t. Alan exists to end the wait. Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way. So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience. We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR. Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond. ⭐ YOUR MISSION We are building Alan's Care function in Saudi Arabia, and you will be the person who makes sure every member trusts Alan when they need us most. You'll build the function from zero: process, tooling, quality bar, then scale it, while handling the conversations that matter most yourself. Founding the function - Handle directly the member contacts that stay in-house: admin requests, escalations, complex cases. - Write the scripts, guidelines, and documentation that make Care work in Saudi from day one. - Shape the operating model on the ground together with the GM Saudi and the global Care community: opening hours, shift coverage, tooling setup (Intercom and others), and how traffic splits between in-house and externalized support. What success looks like: a documented, working Care operation that can pass regulatory scrutiny and handle real member conversations from launch. Owning quality on externalized support - Own the quality bar for everything we externalize: review calls and tickets in Arabic, coach our outsourcing partner's agents, and close the loop between what members experience and what we improve. What success looks like: externalized conversations meet Alan's quality bar, and gaps get caught and fixed before they become member complaints. Owning regulatory accountability - Own the complaint-handling policy and the regulatory SLAs on complaints. - Prepare the documentation and readiness for the Insurance Authority inspection. What success looks like: Alan passes Insurance Authority inspection with a clear, accountable answer on every complaint-handling question asked. You won't be building this alone. You'll have the full support of Alan's global Care Ops team on process design, tooling, forecasting, and planning, the same team behind our Care launches in France, Belgium, and Canada. You bring the on-the-ground execution and Arabic-language expertise; they bring the playbooks and cross-market experience. 👀 WHO WE ARE LOOKING FOR - You are a founding operator. You've built an operational function from scratch before, or you're ready to do it for the first time with real ownership. - You are hands-on in ambiguity. You're happy to answer tickets yourself on day one while designing the system in parallel. Some decisions on coverage model and tooling are still being finalized, and you'll help make them. - You are AI-first. You're excited to work on automation and tooling, not just process. - You lead with ownership and directness. You hold an outsourcing partner accountable to a quality bar without hesitation. - You are genuinely energized by great customer experience. When a member is frustrated, you don't just close the ticket, you make sure they walk away feeling cared for. - You understand the member's stakes. Ideally, you've seen pre-authorization, claims, or member frustration points up close, in health insurance, health services, or a comparable regulated environment. ⭐️ REQUIREMENTS FOR THE ROLE Must-haves - Saudi national. - Fluent in Arabic and English, spoken and written. Both are mandatory: Arabic for the QA work on Arabic-language conversations, English for collaboration with the global Care community and cross-functional teams. - Comfortable operating with significant ambiguity: building the system and doing the work at the same time. - Strong ownership and directness, including holding an external partner accountable to a quality bar. - Genuine interest in AI-first tooling and automation. Nice-to-haves - Health insurance, health services, or financial services background; understanding of pre-authorization, claims, and member frustration points in Saudi Arabia. - Experience building or scaling an operational/support function from scratch. - Familiarity with the Saudi regulatory environment (Insurance Authority requirements). Level target: B1-C1 on Alan's level grid. ⭐ WHAT WE OFFER - A world-class team to lean on: you won't be alone. You'll have the full support of Alan's global Care Ops team, and the full team's playbooks from launching Care in France, Belgium, and Canada. - Real ownership and impact from day one, on a function you build yourself. - As the team scales, this role has the potential to grow into leading a local team.

Location: Barcelona, Spain Workplace: hybrid About seQura seQura provides innovative, flexible and easy-to-use payment technologies that help merchants acquire, convert and retain more customers. We make a difference in sales performance by tailoring our solutions to different sectors, to address their unique pain points and deliver superior results in Retail, Education, Eyewear, Repairs and Travel. We also empower smart shopping to consumers who seek more value, convenience, and flexibility in their shopping, with new payment experiences that allow them to save, access interest-free credit, or pay in small, comfortable installments of up to 24 months. Born in Barcelona, seQura is a privately-owned fintech, currently expanding throughout southern Europe and Latin America, growing above 50% CAGR. Over 6000 businesses, almost 3 million shoppers, and almost 400 employees continue to rate us as one of the most loved and trusted fintechs out there, with an NPS of 87%, a Trustpilot rating of 4.7/5, and a Glassdoor rating of 4.1/5. About the role 🤓 Data trust is becoming one of the most important challenges in the era of AI analytics. Self-service analytics has always required strong foundations. Now, with the rise of LLMs and AI agents, the opportunity is bigger, but so is the risk. Pointing an AI assistant at a warehouse can create a false sense of precision if the underlying data model, definitions, documentation and ownership are not clear. As a Data & AI Governance Specialist at seQura, you will help build the foundations that allow teams to find, trust, understand and apply data and AI safely, autonomously and responsibly. You will work at the intersection of business, data, AI, legal, privacy and security teams, translating complex requirements into clear workflows, usable standards and technical solutions. What challenges you'll be solving 🚀 Collaborate with domain stewards and analysts to maintain a unified data dictionary, clear business metric definitions and AI model documentation. Partner with Core Data, Data Science & AI, Business and Engineering teams to implement automated data quality checks across pipelines, health and performance monitoring dashboards/alerts. Manage and improve the data catalog, AI model inventory and model registry so assets are organized, searchable, well documented and easy to understand. Help Data Champions and AI Owners succeed by giving them clear templates, training, tooling and documentation rather than relying on manual approval gates. Act as the operational bridge between Legal, Privacy, Security and Data & AI teams to support GDPR, SOC 2 and EU AI Act readiness. Champion a culture where quality and responsible AI are collective responsibilities, supported by automation, ownership and practical enablement. About the Data team 🧩 Team mission To amplify seQura’s value by enabling anyone to autonomously find, trust, understand and apply data and AI to make smarter decisions. What we own You will join the Data & AI Governance vertical, working closely with the Data Governance Lead, the wider Data & AI team and business stakeholders across seQura. This team owns the foundations that make self-service analytics and responsible AI possible: metadata, documentation, ownership, quality standards, lineage, data and model discoverability, access governance and AI risk workflows. How we work Data is treated as a product , with clear ownership, quality standards, and consumers. Governance acts as an enablement layer , rather than a blocker. Self-service systems are prioritized over manual approval processes. Close collaboration with domain experts helps turn business knowledge into reusable, trusted data assets. What to expect in the next 90 days 🏁 Month 1 You will onboard into seQura’s Data & AI organization, understand how our data model, access groups and governance practices work today, and start researching the semantic layer foundations needed to support reliable AI-assisted analytics. Month 2 You will start working on metadata and ontology graph initiatives, helping connect business concepts to the right data entities, definitions and ownership structures. Month 3 You will contribute to warehouse optimization and access marketplace initiatives, helping make governed data assets easier to discover, request, use and maintain across teams. Tech stack & environment 🛠️ You will work with tools and systems that support data cataloging, metadata management, self-service analytics, data quality, access governance and documentation. What you’ll need 🤝 Must have: Ability to translate business, legal or privacy requirements into practical solutions with technical teams. 2 to 5 years of hands-on experience in any of these areas: Data Governance, Data Quality Engineering, Analytics Engineering, AI Operations or a related area. Experience working with data teams to implement policies, standards or governance practices in real systems. Experience operating modern data catalog, metadata or documentation tools. Strong communication skills across business stakeholders, technical data teams and legal or privacy teams. Strong analytical ability to trace data quality issues back through pipelines, models or workflows and support root-cause resolution. A self-service mindset: you prefer clear standards, automation and enablement over manual approval gates. Nice to have: Practical understanding of AI and ML lifecycles. Experience with Generative AI application patterns. Understanding of AI cataloging, model inventories or model registries. Familiarity with AI bias detection or mitigation practices. Working knowledge of foundational AI privacy and regulatory requirements, including the EU AI Act. Experience with OpenMetadata, Metabase, Omni, Redshift, Claude or similar tools. Experience supporting semantic layer, ontology graph, access marketplace or data ownership initiatives. Working knowledge of foundational data privacy requirements such as GDPR and SOC 2. What we offer 😎 We have a strong and sustainable foundation, where we provide a secure and reliable workplace. You have the freedom and trust to make the best contribution possible. One of our most valued strengths by our employees is our fellowship and supportive culture, which fosters a sense of belonging by working closely with our values. With us, you will have challenging projects to work on and push your skills and knowledge. In addition, we are very proud of the unique office we have, which offers a comfortable and inspiring environment to work in with everything you need. 23 vacation days + 2 days of free disposal per year. Flexible compensation plan for transportation, restaurants, and kindergarten with Cobee. Health insurance discounts Flexible working hours. A personal budget for professional development. Office workshops and meet-ups to encourage community participation and career growth. Hybrid work from Barcelona Moreover, we have a Wellness Program that embraces a holistic approach by covering 6 areas (occupational, physical, financial, emotional, social, and environmental consciousness). Each area will include a variety of activities, and you'll be able to choose from 34 different activities that best meet your needs to configure a plan that best works for you. Which are the next steps? 🙌 Interview with People Team Hiring Manager interview Technical take-home assessment (async) Live Peer review of the assessment Meet the team We kindly ask that you submit your CV in English, as it is the official language of our community. We promote equal opportunity to all, regardless of age, color, gender identity, medical condition, physical or mental disability, race, religion, sexual orientation, or any other characteristic. We have an inclusive environment, and respect is above all. Do you want to be part of the change? Join us!👇

Location: NZ: Wellington: Xero One (19-23 Taranaki St); AU: Melbourne: (260 Burwood Rd); NZ: Auckland: Xero 4 (96 St Georges Bay Rd, Level 2 & 3); AU: Sydney (45 Clarence St) Workplace: Hybrid The role / impact This is a rare chance to shape how an entire technology organization works in the AI era. Rather than shipping another standalone AI feature, you'll build the shared platforms and operating models that make AI-native delivery possible across Xero, spanning AI harnesses that help teams build faster with the right guard rails, gateways that makes using models safe and efficient, and agents that help reduce toil. You'll drive initiatives spanning across the full delivery lifecycle, combining strategy, execution and measurable organizational impact. You'll drive decision-making across products and teams, connect work happening in different phases of development, and train and coach others to build strong AI product practice. In line with our value to Go Bold, you'll set goals that stretch the team and help rethink, and not just solve, the problems in front of you. The team / how they connect This group shapes how products connect to Xero's wider AI strategy and objectives, and looks after the tools and ways of working that help thousands of Xeros deliver value. You'll build close relationships with Engineering, Security, Data and several other teams, keeping decisions joined up across the business. The team is currently working on / Initially, you will focus on - Building and scaling the shared capabilities behind Xero's AI-native delivery model. - Aligning stakeholders on strategy and priorities, and setting baselines for adoption, delivery speed, cost, quality and technology health. - Publishing quarterly roadmaps, operating model and governance approach for the initiatives. - Moving the highest-value workflows from pilot into repeatable adoption Where and how you can work We support a flexible working model that empowers you to balance your professional and personal life. You will have the option to work in a hybrid capacity, combining the focus of remote work with the collaboration of our office spaces and team boost days to foster connection and alignment. Here are some of the things we are looking for, for this role - You bring strong platform product management experience, ideally across developer tools, infrastructure, data or AI. - You think in systems, comfortably joining the dots across various phases and teams. - Translating complex technical possibilities into clear outcomes and investment decisions comes naturally to you. - Your approach to discovery, delivery and measurement is outcome-focused, and you know how to prove what's working. - Ambiguity, evolving technology and incomplete information don't throw you off course. - Curiosity and pragmatism sit alongside the resilience to turn early experiments into scalable products. Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.

Location: Indonesia The Company Our client is a leading international education provider that is dedicated and passionate about helping students around the world, creating a brighter future and reaching their full potential. With university partnerships and a variety of face-to-face, online, and hybrid study programmes, they are able to provide students with the resources and guidance they need to succeed. Their global network of offices and university partnerships ensure that students receive the best educational services available. Additionally, their Insendi platform enables them to deliver innovative, accessible, and intuitive digital learning experiences with the most advanced digital tools available. The Role Our client looking for an experienced Senior Account Manager to manage and grow their portfolio of education-agent partners across Indonesia. This is a commercially focused B2B/channel account management role, with the primary objective of strengthening existing agent relationships, increasing student recruitment and identifying opportunities to grow our client's presence in the Indonesian market. You will act as a key commercial partner to education agents, positioning our client's portfolio as a provider of choice for international higher education programmes. The role is approximately 60–70% account management and partner development ("farming") and 30–40% new business development ("hunting"), making this an ideal opportunity for someone who enjoys both nurturing strategic relationships and developing new commercial opportunities. You will work independently as part of a wider Southeast Asia team and report to the Associate Recruitment Director, Southeast Asia. Key Responsibilities Account Management & Partner Development Own and develop a portfolio of education-agent partners across Indonesia, including both strategic/master agents and smaller boutique agencies. Build strong, long-term relationships with key decision-makers and act as a trusted commercial partner. Develop and execute account plans to grow student recruitment and partner performance. Identify opportunities to increase the productivity, engagement and contribution of existing partners. Monitor partner performance, identify risks and implement appropriate actions to maintain and grow accounts. Ensure partners understand and adhere to relevant processes, service-level expectations and our client's requirements. Provide high-quality product, process and sales training to agent partners. Business Development & Sales Identify, approach and onboard new education-agent partners across Indonesia. Manage the sales pipeline from lead generation through to conversion and activation. Build and maintain a strong network of prospective and existing agents. Achieve agreed student recruitment and revenue/value targets. Identify market trends, customer needs and emerging opportunities to support student recruitment growth. Work closely with product sales and marketing teams to develop and execute effective market strategies. Represent our client and its brands at exhibitions, recruitment fairs, agent events and other industry activities. Market & Competitor Intelligence Monitor competitor activity and developments within the international education market. Share insights on market trends, competitor positioning and agent/customer behaviour. Identify opportunities and risks within the Indonesian market and provide recommendations to the wider team. Requirements Our client is looking for a commercially driven relationship builder with strong experience in the international education sector and a proven track record of managing education-agent networks. You will ideally have: 6+ years of relevant professional experience , preferably in account management, B2B sales, channel sales, business development or partner management. Strong, hands-on experience managing a substantial portfolio of education agents , ideally 20+ active partners or a portfolio of major/master agents with multiple branches. Proven experience developing and maintaining relationships with Indonesian education agents. A strong understanding of the international student recruitment ecosystem and education-agent model . Experience managing both strategic/key accounts and smaller partner agencies. A demonstrable track record of achieving commercial or student recruitment targets. Strong business development skills, including lead generation, cold calling and new-agent acquisition. A consultative, customer-focused approach to relationship and account management. Strong commercial awareness and the ability to identify partner growth opportunities and manage account risks. Excellent communication and presentation skills, with strong written and spoken English . Strong organisational skills, attention to detail and the ability to manage multiple priorities independently. Willingness and ability to travel regularly across Indonesia to meet agents and attend recruitment and industry events.

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

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

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

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About 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 A large and growing share of Claude usage reaches customers through our cloud partners — Amazon Bedrock, Google Cloud's Agent Platform, and Microsoft Foundry. These surfaces require bespoke solutions so our approaches have to be designed for third-party distribution from the start. In this role you will own how Anthropic's model safeguards, fraud defenses, and compliance posture show up on every cloud. Responsibilities: Model Safety Across Clouds Own the multi-cloud strategy and roadmap for our safeguards — data retention, automated review, human review, and enforcement — designed to fit each partner's operating model Design product experiences and operations paths for managing eligibility criteria, verification paths, and the controls attached to differentiated capabilities for higher-trust organizations Build threat-intelligence sharing with AWS, Google, and Microsoft so misuse is detected and acted on consistently across surfaces Drive our transparency commitments to customers and partners on data access, review, and enforcement Fraud & Abuse Own fraud and abuse defenses for partner-sold offerings: bot and mass-registration abuse, pre- and post-sale risk controls, and chargebacks where the partner owns billing Define the fraud signals we exchange with each cloud partner and turn them into product requirements that influence growth initiatives Cross-functional Leadership Engage directly with enterprise security, risk, and compliance leaders to understand their requirements and turn them into roadmap priorities Be Anthropic's product counterpart to trust & safety, security, and compliance teams at AWS, Google, and Microsoft Work with Safeguards, Inference, Policy, Security, Legal, and multi-cloud engineering to ship one coherent set of controls across three clouds Partner with sales and partnerships to support enterprise evaluations where data-handling and safety requirements are decisive Work with marketing and partner teams on how we position our safeguards externally Minimum requirements: Have 10+ years of experience. Have 5+ years of product experience in platform product roles on high-scale, enterprise- or developer-facing software. Operate with high autonomy in ambiguous, fast-moving environments, with a track record of executing across teams and organizations. Are an excellent written communicator and able to drive clarity out of complexity. Are equally fluent in policy nuance and systems detail, and can explain the tradeoff between them to lawyers, engineers, go to market teams, and partner executives alike. Preferred requirements Prior product experience in trust & safety, security, privacy, or compliance. Have built or shipped products with a hyper-scaler as a partner — you know how to align strategic goals and deliver impact over multiple quarters in partnership with an external third party Have owned a top line revenue target while being held to counter-risk outcome — a fraud-loss number, an abuse rate, a compliance authorization, an enforcement program — not just a product roadmap. Direct experience on a trust & safety, fraud, or security product team at AWS, GCP, or Azure — or at an ISV that ships through one of their marketplaces. Background in AI safety, content moderation, or abuse-detection systems. Designed incident-response or escalation processes that span more than one company. 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: $305,000 — $385,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

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

Location: New York HQ Workplace: OnSite ABOUT AVOCA Avoca is transforming how home service companies engage with their customers. Our AI-powered conversational agents handle every high-value inbound call, from booking jobs, qualifying leads, and driving higher revenue, all at a speed and consistency unmatched by human call centers. We're a Series B startup backed by Kleiner Perkins, Meritech Capital, General Catalyst, and other top-tier investors, with $125M raised and a $1B valuation. We grew 10x in 2025 and have scaled to 170+ employees in under two years across our NYC headquarters and Santa Barbara office. In a $1T+ market where 85% of missed calls go to competitors, we're building the category-defining platform for AI-driven customer engagement, serving the largest brands in home services. With high-energy, in-office teams in both locations, every hire here has an immediate and visible impact. ABOUT THE ROLE We’re hiring a Growth Lead, Performance to build and scale the acquisition engine that powers Avoca’s next stage of growth. Your initial focus will be building and scaling our paid acquisition channels, starting with paid social and paid search, into meaningful sources of qualified pipeline. You’ll own these channels end to end: from strategy and execution to creative testing, conversion, measurement, and optimization. But your mandate won’t stop at paid acquisition. We’re looking for a growth builder with broad demand generation instincts who can identify new opportunities, build channels from scratch, and turn what works into repeatable engines. You’re equally comfortable setting strategy and getting into the details of a campaign, creative concept, landing page, or experiment. The scope is wide and the whitespace is real. We’re looking for a smart, high-agency person who builds their own leverage. You’ll report directly to the Head of Growth and work on the company’s highest-priority channels and growth bets. WHAT YOU'LL DO - Build and scale paid social and paid search into major revenue drivers for our business - Own paid acquisition end to end, including strategy, execution, budget allocation, creative testing, conversion, measurement, and optimization - Build a high-velocity experimentation engine across audiences, messaging, creative, offers, and landing pages - Translate customer insights and performance data into campaigns that resonate with home services operators and drive qualified pipeline - Set performance targets and allocate investment based on pipeline, CAC, channel efficiency, and revenue - Partner closely with Sales, RevOps, Product Marketing to ensure a tight feedback loop on ICPs, lead quality, SLAs and pipeline handoff process - Use AI and automation to increase the speed and quality of campaign development, analysis, and experimentation - Identify, test, and scale growth channels beyond paid acquisition, turning the most promising opportunities into repeatable growth engines WHAT YOU’LL BRING - 5+ years of experience in performance marketing, growth marketing, or demand generation, ideally at a fast-growing B2B technology company - A strong track record of personally building and scaling paid social programs, with deep expertise in Meta - Strong paid search experience and fluency across the acquisition funnel, from media and creative through conversion and measurement - Experience owning meaningful budgets and making investment decisions based on pipeline quality, marginal efficiency, and growth potential - A history of managing toward qualified pipeline and revenue, not just leads, clicks, or platform-reported conversions - Strong analytical and creative instincts, with the ability to turn customer insight and performance data into clear hypotheses and compelling campaigns - Broad growth experience and the ability to build, test, and scale channels beyond paid media - Fluency with AI tools and a bias toward using automation to increase your output and learning velocity WHO YOU ARE - You’re a builder who wants to own both the work and the outcome, from setting the strategy to launching and optimizing the campaign - You have deep performance marketing expertise, but you don’t define yourself solely by paid media — you’re energized by finding and building whatever channel can move the number - You think in terms of qualified pipeline, CAC, and revenue while caring deeply about the details that drive them - You combine analytical rigor with strong creative judgment and understand that the message and offer matter as much as the media plan - You move quickly, run disciplined experiments, and make clear decisions even when the data is imperfect - You create clarity in ambiguous situations and don’t need an established playbook, a large team, or perfect information to make progress - You’re curious, resourceful, and willing to roll up your sleeves — no task is too small when it helps move the company forward - You want to work in person in NYC with an ambitious team that moves quickly and holds a high bar BONUS POINTS - Experience marketing to mid-market buyers in a high-velocity sales motion - Experience in vertical SaaS or home services - A track record of building new growth channels from zero and scaling into meaningful sources of pipeline BENEFITS - Comprehensive medical, dental, and vision insurance - Company-sponsored 401(k) through Vestwell - Flexible PTO plus U.S. federal holidays - Company-wide off-sites - Daily in-office lunch through Parkday - Dinner covered when working late - Commuter benefits and late-night rideshare - Standing desks and workspace accommodations available on request - All core tools and software provided Compensation: The expected on target earnings for this role is $160,000–$210,000, with final compensation based on experience, skills, and qualifications determined during the interview process. Avoca's total compensation package includes base salary, bonus, equity, and a comprehensive suite of benefits and perks. Our Recruiting team will share the full details as you progress through our hiring process. WHY AVOCA At Avoca, you’ll be part of a team that’s building a category-defining company at the center of a massive market opportunity. We’re a fast-moving, collaborative team with a culture designed for builders who thrive on speed, iteration, and impact. Avoca provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability.

Location: United States, Remote Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Why PlayStation? PlayStation isn’t just the Best Place to Play — it’s also the Best Place to Work. Today, we’re recognized as a global leader in entertainment producing The PlayStation family of products and services including PlayStation®5, PlayStation®4, PlayStation®VR, PlayStation®Plus, acclaimed PlayStation software titles from PlayStation Studios, and more. PlayStation also strives to create an inclusive environment that empowers employees and embraces diversity. We welcome and encourage everyone who has a passion and curiosity for innovation, technology, and play to explore our open positions and join our growing global team. The PlayStation brand falls under Sony Interactive Entertainment, a wholly owned subsidiary of Sony Corporation . We are seeking a Lead Character Tools Engineer to join the PlayStation Central Technology team focusing on Character technology from creation, rigging, and animation.  Developing and distributing tools and optimizing for making the best characters in games more efficiently and integrating emergent technology into the future of game making. Candidate expected to prototype, create, and collaborate to deploy and maintain technical tools and practices from experience on traditional game development and run-time workflows with internal teams and seek new opportunities for bringing increased usage of AI and ML to make those processes more efficient. This internal team of artists, engineers, and technical artists partner with engineering teams, studio stakeholders, research engineers, and other Central Technology groups to provide cohesion and standardization across PSS activities. This position requires a demonstratable understanding of game development pipelines, extensive experience with Autodesk Maya software, and strong programming skills.  Familiarity with leveraging agentic workflows to accelerate code creation and testing. Responsibilities: Collaborate with internal team members and studio stakeholders to prototype and harden create tools considering contemporary development workflows, data management, art creation, animation, and game engine integration Setting up and maintaining project specific environments and automation opportunities Learning and supporting varying client working environments, assets, and tools Writing, maintaining, and customizing internal tools and workflows Building and maintaining technical documentation Willingness to attend and participate in PlayStation internal demonstrations and conferences, travel required Ability to work in a collaborative team environment as well as self-driven experimentation and research Core Experience: Experience as technical artist or engineer to develop and deploy tools to support character creation, rigging, simulation, or animation pipelines in a run-time environment 10+ years in a game development studio or previous experience creating artist-facing tools on technical art or engineering team in a production environment BS degree in Computer Science, Engineering, Graphic Art, or a related field, or equivalent experience Extensive experience in working with game editors and excellent working knowledge of technical specifications of workflow from DCC to complex real-time environments Capable of writing and debugging C++ Excellent knowledge of Maya with general knowledge of Maya rigging Developing or maintaining project pipeline tools and system environments Excellent troubleshooting skills and the ability to creatively solve problems Experience leveraging Agentic AI models Strong understanding of deformation and mesh processing Familiarity with industry trends in character rigging, gameplay animation, cinematic animation, deformation and simulation usage in character animation pipelines Decent sense of humor Extended Experience: Strong Python programming skills and experience with PyQt/Pyside Motionbuilder, Maya, Houdini, experience Experience with HLSL, MaterialX Experience with other programming languages, especially C++. Experience with Perforce, Git, Confluence Exposure to photogrammetry, motion capture/performance capture At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $143,700 — $215,500 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Safeguards organization builds the policies, evaluations, and detection and enforcement systems that define and hold the limits on how Claude can be used. In this role, you'll lead our policy design team, managing the teams responsible for radicalization, child safety, user well-being, harmful manipulation, and election integrity, among other harm areas. The team is responsible for understanding and defining the risks that come with engaging with Claude, how those risks materialize in the real world, and the mitigations needed to prevent them. As the manager, you'll work with your team to draw the boundaries between what is and is not allowed, then partner with research, product, and engineering to build the right interventions. Mitigating these harms takes the whole stack: the values and judgment trained into the model itself, the policies and detection systems we enforce on top of it, and the interventions we build into our products. More capable models, new product surfaces, and new user behaviors will keep testing these boundaries, so the team's policies have to keep pace. You'll work closely with product to develop and iterate on the strategy and vision for how our safety layers fit together, and with your team and cross-functional partners to decide which mitigations make the most sense and how to implement them. You'll also coordinate policy decisions across the portfolio: ensuring they're made with the right stakeholders in the room, tracked over time, and applied consistently across harm areas and product surfaces. This is a leadership role for someone who combines expertise in the harm areas themselves with fluency in how frontier models are actually developed and deployed, and who does their best work across team boundaries. You'll spend as much time developing the leads who own each harm area as you will on the policy questions themselves. *Important context for this role: some of the work involves exposure to explicit content, including material of a sexual, violent, or psychologically disturbing nature. Key responsibilities Lead, develop, and grow the managers and teams responsible for the consumer harms portfolio, including child safety, user well-being, harmful manipulation, and election integrity Coordinate policy decisions across the portfolio, and build the mechanisms that keep them tracked, consistent, and legible — so stakeholders know what was decided, why, and who owns what Set the strategy for how mitigations built on top of the model — policies, detection and enforcement systems, and product interventions — complement what is trained into the model itself, partnering closely with the alignment training team that owns Claude's character Prioritize across harm areas competing for the same resources, and make those tradeoffs and their rationale clear to leadership Serve as the escalation point for high-severity and ambiguous consumer harms decisions, including rapid response to emerging risks Partner with engineering, data science, product, legal, and research across the model development cycle so consumer harms considerations are represented from training through launch, on every surface where Claude is deployed Engage external experts, civil society organizations, and regulators, and translate that engagement into stronger policy and enforcement Minimum qualifications Experience leading teams — including managing managers or senior specialists — in AI safety, product policy, or a related field Deep, applied familiarity with consumer harm areas such as child safety, mental health and well-being, manipulation, or election integrity, and good judgment about how these harms differ in mechanism, severity, and mitigation A track record of exceptional cross-team collaboration: building durable working relationships with teams you don't control, and getting to shared decisions where ownership is genuinely distributed Working understanding of how frontier models are developed and deployed — the training and fine-tuning cycle, evaluations, and launch processes — and how different model environments (consumer products, APIs, agentic tools) change both risk and the mitigations available Experience translating policy positions into mechanisms that can be enforced and measured, and communicating the reasoning to technical and non-technical audiences, including executives Sound judgment in ambiguous, high-consequence decisions, and comfort making a call and escalating appropriately on incomplete information Preferred qualifications Subject-matter depth in one or more of the portfolio's harm areas, from academia, clinical practice, civil society, government, or trust & safety work Experience working directly with model training or research teams on model behavior, or shaping the character of a deployed AI system Experience with generative AI safety systems, including LLM-based classification, evaluation, or enforcement pipelines Experience engaging external stakeholders in these domains — child safety organizations, election authorities, mental health experts, or regulators Experience using agentic AI tools to scale a team's analysis and operations 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: $330,000 — $395,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: United States Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ THE ROLE The next wave of enterprise transformation is being built by the Global Systems Integrators and every one of them is racing to stand up AI transformation and AI governance practices for their clients. Docker's AI Governance strategy is the natural infrastructure layer underneath that motion, and we need a senior partner leader to make that connection real, commercially, at scale. We're looking for a Principal, GSI & SI Partnerships to build and lead Docker's engagement with the world's largest consultancies and systems integrators; Accenture, Deloitte, EY, KPMG, and others, as both a strategic force multiplier for our AI Governance narrative and a tactical revenue engine through co-sell. This is a dual-altitude role. At one level, you are the executive relationship-holder who gets Docker a seat at the table inside GSI AI practices; shaping how they build, package, and go to market with AI transformation offerings. At the other, you are the operator who turns those relationships into pipeline: enabling sales teams, building joint plays, and driving deals to close. You will define how Docker becomes the trusted infrastructure partner GSIs build their AI consultancy motions on top of and how they make money doing it. KEY STAKEHOLDERS & CROSS-FUNCTIONAL PARTNERSHIPS - Primary: CRO and Sales Leadership; Global Alliances Leadership; Partner Leadership Team - Primary: Professional Services, Field Sales and Solutions Engineering teams (co-sell enablement and execution) - Secondary: Product Marketing, Demand Generation, Ecosystem Marketing - Secondary: Cloud & Channel Partnerships, Technology Alliances, Product Management - External: Accenture, Deloitte, EY, KPMG, and other GSIs/SIs including their AI/GenAI practice leadership, industry verticals, and delivery organizations _______________________________________________________________________ RESPONSIBILITIES GSI Strategy & Executive Engagement - Own Docker's global GSI/SI partnership strategy, prioritizing and sequencing engagement across Accenture, Deloitte, EY, KPMG, and other top-tier consultancies. - Build and sustain executive-level relationships with GSI AI/GenAI practice leaders, identifying where Docker's AI Governance capabilities plug directly into their existing AI transformation and consulting offerings. - Develop the strategic narrative and business case that positions Docker as the infrastructure and governance layer GSIs need to de-risk and scale their clients' AI initiatives. - Represent Docker in executive briefings, QBRs, and joint planning sessions with GSI leadership, establishing Docker as a preferred, differentiated partner rather than a vendor line item. - Partner with Professional Services and field teams to both share appropriate service assets and build the service’s capabilities Docker needs in the partner ecosystem to serve our mutual customers. Commercial Model & Monetization - Design and articulate a clear "how GSIs make money with Docker" story, connecting Docker's AI Governance platform to GSI services revenue, delivery methodologies, and staffing models. - Build joint solution offerings and packaged plays with GSIs that combine their advisory/delivery capability with Docker's platform, creating a repeatable, sellable motion for both sides. - Negotiate and structure commercial frameworks (referral, resale, co-delivery) that align incentives and make Docker an attractive, profitable practice area for GSI partners. Align with Professional Services to build the service partner capacity needed to augment PS. Tactical GTM & Co-Sell Execution - Own end-to-end co-sell execution with GSI partners, from lead generation and account mapping through joint pursuit and deal closure. - Partner directly with Docker's field sales organization to identify target accounts, build joint account plans, and drive GSI-sourced and GSI-influenced pipeline. - Build the enablement infrastructure (playbooks, battlecards, training) that equips both Docker sellers and GSI teams to identify, position, and close joint opportunities. - Establish a consistent cadence of joint pipeline reviews with GSI partners and internal sales leadership, ensuring strategic intent translates into closed revenue. AI Governance Practice Integration - Work closely with Product and Product Marketing to translate Docker's AI Governance framework (Containment, Curation, Control) into language and assets GSI practices can readily adopt into their own AI transformation offerings. - Identify and prioritize the GSI industry verticals and use cases (e.g., regulated industries, agent-based transformation) where Docker's governance story creates the clearest differentiation and urgency. - Partner with GSIs to co-develop points of view, joint IP, and reference architectures that embed Docker into their AI transformation methodology. Team & Program Leadership - Build out the GSI/SI partnership function as it scales — defining coverage models, hiring needs, and operating rhythms as engagement deepens across additional GSIs. - Serve as a member of the Partner Leadership Team, contributing GSI/SI strategy and results to the broader partner ecosystem narrative. - Report on GSI-sourced and GSI-influenced pipeline and revenue, practice development progress, and joint GTM plan execution to executive stakeholders. _______________________________________________________________________ QUALIFICATIONS - 12+ years in partnerships, alliances, or GTM leadership, with substantial direct experience building and running relationships with GSIs/SIs (Accenture, Deloitte, EY, KPMG, or similar) at a B2B SaaS, infrastructure, or enterprise technology company. With strong existing network at the GSI senior exec level. - Proven track record of building joint commercial models with GSIs and converting relationships into measurable co-sell pipeline and revenue. - Experience navigating GSI internal structures, practice leadership, industry verticals, delivery organizations and knowing how to get a technology partner embedded into their offerings. - Familiarity with AI/GenAI transformation programs, consulting delivery models, and how GSIs structure and monetize AI advisory and implementation work. - Background in developer tools, cloud-native infrastructure, or AI/security ecosystems is a strong advantage. SKILLS & COMPETENCIES - Executive presence with the credibility to engage GSI practice leaders and partner C-suite as a peer. - Dual fluency in strategy and execution, equally comfortable shaping a multi-year GSI strategy and running a weekly pipeline review with field sales. - Strong commercial and deal-structuring acumen; able to design win-win economics that make Docker a priority practice for GSI partners. - Skilled cross-functional operator, able to align Sales, Product, and Marketing behind a coherent GSI engagement motion. - Data-driven: comfortable owning GSI-sourced/influenced pipeline reporting and practice development metrics. - Excellent narrative and positioning skills, able to translate Docker's AI Governance story into language that resonates with consulting and advisory audiences. LEADERSHIP & MINDSET - A senior partner leader who has built a GSI/SI function from the ground up and knows how to earn a seat inside a consultancy's practice, not just a line on their partner list. - Comfortable operating at the intersection of strategic influence and tactical deal execution, this is not a purely strategic or purely operational role. - Global mindset, with the ability to prioritize and sequence engagement across a portfolio of GSIs and geographies. - Genuinely energized by the opportunity to hitch Docker's AI Governance story to the world's largest AI transformation engines. - Key Performance Indicators - GSI-sourced and GSI-influenced pipeline and revenue growth - Number and depth of active joint GTM motions with priority GSIs (Accenture, Deloitte, EY, KPMG, and others) - Executive relationship coverage and engagement depth across target GSI AI practices - Joint offering/IP development milestones (co-branded solutions, reference architectures, playbooks) - Field sales adoption and utilization of GSI co-sell enablement and plays Visa sponsorship: Not available for this role. _______________________________________________________________________ COMPENSATION & EQUITY All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location. United States: $203.7K – $291K OTE ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: Canada, Remote Workplace: remote Our Solution Expert team plays a key role in supporting strategic customers in RUN phase, by acting as trusted advisors on complex use cases. Working closely with Sales, Product, and Customer Success, they analyze advanced client needs, challenge existing setups, and translate requirements into scalable solutions within the 360Learning platform.   You will manage a portfolio of customers throughout their lifecycle to drive product adoption and deliver tailored solutions beyond standard product capabilities.   These large and strategic accounts have already deployed the platform and have a strong level of autonomy. They rely on your technical and functional expertise to lead complex integrations (APIs, flat files, third-party tools), redesign platform architecture, run solution audits, and provide high-level recommendations to maximize business impact and long-term value. Within 1 month, you will: Become a Trello expert through our onboarding process Understand our product offering through training Master our platform and be able to support clients on basics requests through ticketing Within 3 months, you will: Own your portfolio of 10 enterprise clients & leading up to 30 active projects simultaneously Start to answer questions coming from your portfolio of clients Support the Customer Success partner on functional and technical questions Successfully implement integration (SSO, third-party tools), deliver technical expertise on how to integrate their learning platform to their technical environment & troubleshooting Within 6 months, you will: Be able to pitch the value of the 360Learning platform Develop repeatable and scalable processes to improve project quality and delivery Support Strategic customers all along their contract from an expertise standpoint Deliver Professional Services to our existing customers base Within 12 months, you will: Onboard another Solution Expert Contribute to our knowledge base to share best practices and lessons learned Work with our partner ecosystem to strengthen the services proposed to our clients Deliver platform audits to clients Deliver professional services proposed in our Professional Service catalogue The Skill Set 3 years of professional consulting experience, preferably in a customer facing role (Level 2 or 3 support agents, Technical consultant, Technical Account Manager) Previous deployment experience of SaaS products, ideally HR related Project management skills Good understanding and experience working with APIs, SSO configuration & troubleshooting Solution-oriented, client-first mindset in everything you do Ability to adapt to your audience, flexibility in tackling a conversation with highly technical stakeholders, and reducing complexity to more common terms with less technical stakeholders Organized, structured, rational, analytical, able to manage priorities across multiple customer implementations Enthusiasm for our working environment explained here: https://bit.ly/Convexity360L What We Offer Compensation: Pay structure includes base salary, variable incentive pay, and company equity 📈 Benefits/Perks : Comprehensive health insurance starting your first day of employment 🏥 RRSP contribution matching 🏦 Generous parental leave 👶 Professional development opportunities through our own platform 📚 Balance: We offer unlimited days of annual PTO 🌴 5 days for sick leave 🤒 Holiday time in accordance with the Ontario Holiday Calendar 🗓 We are a remote-first organization and promote flexible work hours 🏠 Diversity, Equity, and Inclusion : We have 6 active ERGs including Mental Health, Environmental/Sustainability, Women, Parents, LGBTQIA2S+, and Ethnic Diversity. Each group has at least one executive team member serving as a member of the group, bringing greater awareness to each group’s activities and providing a quick path to impact 🤝 Corporate Social Responsibility : Review our CSR Charter: 360learning.com/blog/corporate-social-responsibility-charter 🌎🌏🌍 Culture : A framework that will help you make an impact - envision our way of working and our Convexity Culture: https://bit.ly/Convexity360L & find out more about the teams, product and processes https://bit.ly/42H1ggC 🚀👩🏻‍💻🏆 The Interview Process Phone Screen with our Talent Acquisition Manager Discovery Meeting with a PS Team Leader Case Study Meeting with a PS Team Leader and a Solution Expert Clarification Meeting with our Sr VP of Professional Services Culture Fit Meeting with an Executive References / Offer ! ⇾ Get ready using our Knowledge Base: https://bit.ly/42H1ggC Who We Are 360Learning enables companies to upskill from within by turning their experts into champions for employee, customer, and partner growth. With our LMS for collaborative learning, Learning & Development teams can accelerate upskilling with the help of internal experts instead of slow top-down training. 360Learning is the easiest way to onboard and upskill employees, train customer-facing teams, and enable customers and partners–all from one place. 360Learning powers the future of work at 1,700 organizations. Founded in 2013, 360Learning has raised $240 million with 400+ team members across North America and EMEA. Learning Includes Everyone. In concert with our culture, 360Learning believes learning includes everyone and that means embracing the strengths of diversity, connectedness, and inclusion. Through conscientious efforts, our global footprint celebrates cultures, perspectives, and experiences from all over the world to support our platform that is built for all regardless of race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. Thus, 360Learning is proud to be an equal opportunity workplace, and we commit to continue this throughout our processes for recruitment, compensation, benefits, performance, promotion, and all other conditions and terms of employment. We want to learn from and with you!

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP is seeking a Director, Security Engineering & Operations to lead the teams responsible for enterprise security engineering and security operations. Reporting directly to the CISO and serving as a senior member of the Security leadership team, this leader will shape strategy, lead a growing team of managers, engineers, and analysts, and drive measurable security outcomes across a fast-moving technology environment. This is a leadership role for someone who has successfully scaled security operations in complex, high-growth environments and brings strong security engineering experience. The right leader combines strategic judgment with strong technical depth, staying close enough to the work to set a high bar for engineering quality, guide critical technical decisions, and lead effectively through significant security events. This leader will play a significant role in shaping the team, operating model, and technical roadmap as WHOOP scales, advancing capabilities across security engineering, detection and response, incident management, security automation, identity, cloud, endpoint, SaaS, data protection, and other enterprise security domains. As WHOOP expands its use of AI across member-facing products, internal technology, and engineering, and continues to evolve its capabilities in health, this leader will help ensure security scales alongside the company's technology, data, regulatory, and threat landscape. RESPONSIBILITIES - Lead Security Engineering and Security Operations, defining strategy, priorities, technical standards, performance expectations, and measurable outcomes across both functions. - Advance a risk and threat-informed detection and response program that connects priority threat scenarios to the telemetry, detections, investigation capabilities, response procedures, and operational controls required to address them, including identity-centric, data protection, and insider risk scenarios. - Lead security incident readiness and response, including escalation, incident command for significant events, cross-functional coordination, post-incident review, and accountability for follow-up actions. - Guide the engineering and operationalization of preventive and detective security controls across identity, endpoint, cloud, SaaS, infrastructure, data, AI-enabled systems, and other high-value enterprise environments, while setting a high bar for technical design, testing, documentation, maintainability, and lifecycle management. - Lead the security strategy and engineering approach for AI-enabled products and enterprise AI adoption, including access controls, sensitive data handling, model and application security, third-party integrations, tool and agent permissions, monitoring, auditability, and secure use of AI across the company. - Drive an outcome-oriented approach to security technology and managed services, maximizing the effectiveness of existing capabilities, making disciplined decisions about when to automate, build, buy, or use external partners, and holding security partners accountable to measurable outcomes. - Drive disciplined execution across the security engineering and operations portfolio through effective prioritization, roadmap and backlog management, capacity planning, metrics, ownership, and operating cadence. - Lead, coach, and develop managers, engineers, and analysts, setting clear expectations for technical quality, judgment, ownership, execution, and professional growth. - Strengthen collaboration across Product Security, Security Architecture, Platform, Fraud, Engineering, IT, GRC, Legal, Privacy, and other business functions, creating clear ownership and effective operating relationships across organizational boundaries. - Partner with the CISO on organizational design, workforce planning, hiring, and development of the capabilities required as the Security organization evolves, while providing clear, data-driven communication on security posture, operational performance, significant risks, and strategic priorities. QUALIFICATIONS - 10+ years of experience in information security, with deep experience in Security Operations and meaningful experience across Security Engineering in complex technology environments. - 5+ years of people leadership experience, including multiple years managing managers and senior technical individual contributors. This is not a first-time people leadership role. Demonstrated strength in hiring, coaching, performance management, organizational design, and raising the bar for team quality and execution. - Deep technical expertise in detection engineering, SIEM and telemetry strategy, incident response, and modern security operations, including experience leading significant security incidents. - Proven ability to drive disciplined execution across priorities, roadmaps, backlogs, metrics, and ownership, while maximizing existing capabilities before introducing additional technology. - Experience managing MDR, MSSP, or similar security partners and holding them accountable to measurable operational outcomes. - Experience securing AI-enabled products, enterprise AI adoption, or AI development environments, including risks related to sensitive data, models, agents, third-party services, access, and monitoring. - Strong judgment and relationship-building skills, with a track record of working effectively across technical, product, risk, legal, and senior leadership teams. - Experience in health technology or another sensitive-data environment is a plus. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.   Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/to determine employment eligibility The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $220,000-$245,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Location: Portland, OR Workplace: onsite About Welocalize  Welocalize, a Welo Global brand, serves localization teams through AI-enabled multilingual content solutions that enable enterprises to operate and scale globally. Welocalize combines AI, automation, and human expertise to support enterprises in more than 300 languages, enabling accurate, culturally aligned, and compliant multilingual content at scale.   Welocalize’s Opal Platform comprises patented technology designed to automate multilingual content and improve workflow performance for enterprises. Opal functions as an agentic system that orchestrates AI, automation, and human expertise to coordinate content workflows across the lifecycle, improving speed, scalability, and operational control for global enterprises. These solutions operate within a secure and compliant environment supported by seven ISO certifications. Welocalize is headquartered in New York with offices worldwide. welocalize.com  As a Tech Linguistic Tester 1, you will primarily be proofreading and editing content already localized to your native language, making sure that you catch any errors in the content, such as: grammar, typos, syntax, punctuation, capitalization, political incorrectness, inconsistencies, and extra spaces between words or characters. You will sometimes be translating content from English to your native language. You will also be checking UIs for functional issues. Job Description The following is a non-exhaustive list of responsibilities and areas of ownership for this role: • Write and report relevant bugs and errors using best practices through internal database system. • Ability to undertake and prioritize tasks and issues quickly and efficiently. • Native language skills and cultural awareness of native country. • Good oral and written communication. • Highly organized with attention to detail and a commitment to quality. • QA various products in by accurately following testing instructions and test cases. • Discover and report defects (bugs) using client specific bug tracking tools. • Evaluate translations in the context of software, mobile apps and documentation. • Be a subject matter expert for linguistic issues in the target language; be able to research and resolve linguistic questions. • Adhere to project-specific quality standards, trademarks, style guides and client-preferred checklists and glossaries. • Troubleshoot basic problems; be able to communicate effectively and escalate testing issues. • Complete assigned tasks in a timely manner and of high quality. Experience • Ability to work onsite and/or well as client location. • Native-level or fully bilingual fluency (both spoken and written language) in required language(s). • Up-to-date awareness of current and common technical language usage in the target language. • Strong English skills, both written and verbal. • Experience with MS applications (Outlook, Word, Excel, PowerPoint). • Ability to navigate networks and websites with different browsers. • Basic knowledge of PC-hardware (desktop and laptop). • Basic knowledge of smart phones (iPhone or Android). • Familiarity with Android and iOS operating systems.. • 3+ years professional translation & localization experience. • Familiarity with native culture and trends. • Avid user of social media with familiarity with Facebook Family of Apps. • Experience with consumer devices that provide utility like messaging, health, fitness, calendar, organization. Key Competencies and Requirements • Strong Company & Industry Awareness. • Can establish & Develop Processes and procedures as part of a client program. • Strong Problem-Solving skills as to arrive at optimal solution. • Shows excellent Time Management skills. • A Plan-Do-Check-Act cycle approach to tasks and workloads. • Takes Ownership of deliverables. Be organized and able to work in a fast-paced environment. • Candidates with Localization/QA/translation experience or with advanced computer skills are preferred. Knowledge of common technological terms in English and target language. Flexibility with varying hours.