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Location: San Francisco, California Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE: We're hiring a Technical Program Manager to lead the systems, data, and process work behind how we bill, recognize revenue, close the books, and prove our controls work. You won't be writing the code or drawing the architecture; you'll be deciding what gets built, in what order, and why it matters. This is a role for someone who wants to understand a business well enough to change how it runs: learning the objectives, processes, and system flows end to end, then shaping them into strategic technical programs with real owners, deliberate sequencing, and decisions that hold up under audit. You'll sit between Finance and Accounting on one side and Engineering, Data, and Product on the other, and you'll be accountable for making new revenue streams operable and auditable, from a pricing model on a slide to a billed invoice, a booked journal entry, and a control that passes testing. You'll report to the Lead Technical Program Manager for Data, Biztech & AI Transformation, within EPD. You'll get high-level direction and clear priorities from your manager, and independent ownership of how the work actually gets delivered. You'll bring engineering-side rigor and platform thinking to finance problems, and work as part of a team modernizing how the whole company operates. Most of your time will go to three things: making new product and pricing launches work end to end in the finance stack, running the platforms and data flows behind quote-to-cash and record-to-report, and driving the IT general controls (ITGC) program so controls are designed into systems up front rather than retrofitted after go-live. This role can be based in either San Francisco or New York City. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. WHAT YOU'LL ACHIEVE: - Act as Finance's technical counterpart on new product, pricing, and packaging launches, translating commercial models into requirements across order capture, rating and billing, tax, revenue recognition, and downstream reporting, and defining what "revenue-ready" means before go/no-go: who owns each piece, what's actually done versus asserted, and which risks are still cheap to fix - Broker the trade-off when a launch date and systems reality don't line up: a scoped manual workaround with an owner, a cost, and an expiration date, plus the path to the automated version. Then close the loop after launch on billing accuracy, exception rates, where revenue landed, whether the new controls actually operate, and what must be true to do this again at 10x volume - Independently own delivery and multi-quarter roadmaps for your finance systems programs, including ERP, billing and subscription management, CPQ, revenue subledger, procurement, and the reporting layer on top. Run the working groups that deliver them across Finance, Accounting, Engineering, Data, and Security, with clear accountability and updates leadership can read in two minutes - Run the operating rhythm: intake and prioritization, decision logs, early risk escalation, and a small set of metrics that show whether the work is actually improving anything, and flag early when committed scope and capacity don't line up - Map current-state processes and data lineage end to end and go after the breaks: reconciliation gaps, recurring manual journal entries, spreadsheets doing load-bearing work, competing sources of truth for the same metric. Partner with Data Engineering on the definitions and data contracts that let finance metrics tie cleanly to source systems, and hold the line when teams drift - Drive ITGC workstreams across in-scope financial systems: logical access and segregation of duties, change management, SDLC and CI/CD pipelines, job scheduling, and data interfaces. Partner with Internal Audit on scoping and control design, with a named owner for every control - Facilitate designing controls into new systems, systems changes, and launches before go-live with Controllership, Internal Audit, and Engineering, and serve as the systems-side point of contact for internal and external audit on ITGC walkthroughs and testing, translating between control language and engineering language, and driving deficiencies through root cause, named owners, evidence, and validation that the fix holds - Build AI-assisted workflows that expand what the teams around you can cover, and hold them to real standards: a defined task, a way to evaluate output quality, explicit human review gates on anything touching financial reporting, and documentation so someone else can run it SKILLS YOU'LL NEED TO BRING: - 5+ years in technical program management, business systems, finance transformation, or a related field, with substantial time on finance or revenue systems; public-company or IPO-track experience is a strong plus - Working fluency in finance operations; you don't need to be an accountant, but you should hold your own on quote-to-cash and record-to-report, and know why revenue recognition is not the same as billing - Hands-on ITGC program experience across access, change management, and IT operations for in-scope financial systems, plus practical SOX knowledge. You understand how ITGC reliance determines what auditors will accept from automated controls and system-generated reports, can tell a key control from a non-key one, know where ITACs fit alongside ITGCs, and have been through remediation and audit cycles rather than only reading about them - AI-native operating mindset; this is a core requirement for this role. You already use AI to draft requirements, synthesize status, triage intake, and assemble evidence packages, and you share the patterns so others work differently because of what you built - A track record of independently delivering technical programs end to end, ideally transformation work such as system modernization, a large-scale migration, or an ERP or billing platform implementation, and turning messy or incomplete inputs into a concrete plan with owners and dates; you're pulled into problems before they're scoped and you're as useful advising a controller on process design as an engineering lead on sequencing - Working understanding of data lifecycle and analytics tooling, and real experience running change management for business systems, not just launching them - Influence without authority and a bias toward closure. You have no direct reports, so you work through credibility and clear reasoning, knowing when to push and when to escalate; you chase ambiguous items to a decision, will reopen the uncomfortable question a week before launch, and communicate clearly with Director/VP+ stakeholders, including when the news is bad NICE TO HAVES: - Hands-on experience working in enterprise billing, ERP, and revenue systems such as NetSuite, Stripe, or comparable tools, with an understanding of how orders, invoices, and revenue data flow between them - Experience supporting an IPO readiness or first-year SOX program, including standing up ITGCs from scratch - CISA, CIA, or equivalent certification, or equivalent time embedded on an IT audit team - Experience building internal tooling or agents on a workspace platform rather than only configuring vendor systems Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco, the estimated base salary range for this role is $133,000 - $223,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21 #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: United States, San Mateo, CA 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. Director, Product Management - Data Science San Mateo, CA At Sony Interactive Entertainment, PlayStation creates unforgettable gaming experiences for millions of players around the world. As a global leader in interactive entertainment, we operate at massive scale across a complex digital ecosystem spanning hardware, software, services, commerce, marketing, and player engagement. About the Role We are seeking a Director of Data Science Product Management to lead the strategy, prioritization, and execution of data science to drive better decision-making and player experiences across PlayStation. This role is responsible for portfolio of products across the data science lifecycle - identifying high-value analytical opportunities, shaping predictive and decision products, and ensuring they deliver measurable business outcomes through adoption, monitoring and continuous improvement. The role will lead a team of Data Science Product Managers responsible for applying data science to solve business problems, including capabilities across customer lifetime value, player lifecycle intelligence, forecasting, simulations, audience intelligence and decision automation. The Director will help ensure that SIE’s data science investments are focused on the highest-impact opportunities, built with strong product discipline, and adopted in the workflows where they can create measurable business value. Key Responsibilities Translate business priorities into structured problem statements, investment cases, product strategies, and measurable outcomes, ensuring data science work is managed as a scalable product portfolio rather than one-off analytical requests. Drive product strategy and lifecycle ownership for player value and decision intelligence capabilities, such as CLV, engagement and forecasting, ensuring high quality products are advanced from discovery through productionization, adoption, monitoring, iteration, and long-term value realization. Establish clear criteria for when analytical work should remain exploratory, become a recurring decision process, or graduate into a production-grade product. Define success metrics and quality standards for data science products, including business impact, adoption, reliability, interpretability, model quality, operational sustainability, and decision quality. Partner with Data Science and Analytics leaders to ensure rigor across experimentation, causal inference, forecasting, incrementality measurement, model evaluation, and value analysis, while promoting these approaches as core decision-making tools. Influence senior stakeholders across functions to align strategy, clarify priorities, manage tradeoffs, and drive adoption of data science products. Guide Product Managers across the product lifecycle while directly leading or sponsoring the organization's highest-impact and most ambiguous product initiatives. Create a strong Data Science product culture centered on hypothesis-driven discovery, evidence-based prioritization, measurable business impact and close partnership with cross-functional partners. Qualifications Bachelor’s degree in Business, Data Science, Computer Science, Statistics, Economics, Engineering, or a related field. 15+ years of relevant experience, including 8+ years in digital product management, data product management, AI/ML product management, analytics product management, or related roles. 6+ years of people management experience, including experience leading Product Managers or senior product-oriented analytics leaders. Proven experience leading complex, cross-functional portfolios involving Data Science, ML Engineering, Analytics, Data Engineering, and business stakeholders. Strong understanding of data science and machine learning workflows, including experimentation, predictive modeling, forecasting, segmentation, recommender systems, lifecycle modeling, productionization, and monitoring. Experience with products or capabilities related to CLV/LTV, personalization, churn, propensity modeling, forecasting, audience targeting, marketing optimization, commerce, or digital engagement. Familiarity with modern data and ML ecosystems such as SQL, Python, Snowflake, Spark, feature stores, MLOps tools, model monitoring, APIs, and analytics platforms. Demonstrated ability to translate ambiguous business needs into product strategies, roadmaps, priorities, and measurable outcomes. Strong executive communication skills, including the ability to translate technical concepts into business impact. Experience leading, mentoring, and developing high-performing product teams. Preferred Skills Experience in gaming, digital commerce, subscription, marketplace, streaming, or consumer technology businesses. Deep experience with customer intelligence, player lifecycle analytics, personalization, experimentation, audience intelligence, or growth optimization. Experience defining success metrics and quality standards for data science products, including adoption, reliability, latency, interpretability, fairness, model drift, and business impact. Experience building product management capabilities, teams, or operating models from the ground up. Demonstrated ability to use AI-enabled tools, including generative or agentic AI, to improve product workflows, accelerate insight generation, and enhance decision-making. 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. $273,000 — $409,600 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: Minsk; Tbilisi; Chișinău Workplace: hybrid We are seeking a Senior Full-Stack Engineer  to join our distributed engineering team. IDT/NRS builds the Point of Sale platform that runs tens of thousands of independent retail stores across the United States. We are now expanding that platform into restaurants.  If you like challenges where the hard part is getting it right at scale rather than getting it working once, this is that job! Primary location - Minsk, Belarus (hybrid - 3 days/week in the office)! What you will own: Architecture and delivery of new restaurant facing services, from data model to API to the screens merchants actually touch. The merchant facing restaurant surfaces: kitchen display and everything staff touch across the life of an order. Extending and hardening existing production services without destabilizing them. Correctness under concurrency: transactional integrity, isolation levels, idempotency, race conditions, retries, and honest tradeoffs where perfect guarantees are not available. Behavior when the connection drops. A store keeps serving whether or not the network is up, which means offline capable clients, local state, sync on reconnect, and reconciling what happened while the system was split. Queueing and asynchronous processing, background jobs, and event driven flows. Safe rollout of releases that reach tens of thousands of users. Working directly with product managers and designers to shape what gets built, not just receiving requirements and implementing them. Technical direction and code review for other engineers, including the judgment to say when a design is wrong and the credibility to make that stick. Required Qualifications: 6-8+ years building full-stack products , including time as the senior person on the work. Deep Node.js and TypeScript experience across the full-stack , with production services you designed and still stand behind. Deep understanding of REST API design and microservices. Strong relational database skills, Postgres or MySQL : schema design, indexing, query tuning, transactions, and what actually happens under load. Comfort with non relational stores such as Redis or MongoDB, and with caching and invalidation. Experience with queues and streaming, whether Kinesis, Kafka, RabbitMQ, SQS, BullMQ, or similar, including the failure modes that come with them: ordering, duplicates, replay, and consumer lag. Front- end skill that matches the environment: our team use these screens during a rush, on a terminal or a tablet, with no time to think and no tolerance for a bad interaction. We use Vue. Experience with React or Angular is fine , as long as it includes component architecture, state management, and progressive web apps. Real time interfaces built on websockets, ideally socket.io. Order flow and kitchen display depend on it. Excellent debugging. You can take an unfamiliar production failure and reason your way to root cause instead of guessing. Parts of the existing platform are PHP. Working effectively in unfamiliar code, with AI, is part of this job. Experience deploying services that scale horizontally, tolerate a failed instance or a slow dependency, and automatically add or shed capacity. Comfortable on Linux, and fluent with Git and CI and CD workflows. Excellent written and spoken English. You will be in daily conversation with teams in the United States and Israel, and will often be the person explaining a technical decision to people who did not attend the design discussion. How you work: AI first. You use AI tooling as a core part of how you engineer: mapping an unfamiliar codebase in hours instead of weeks, pressure testing your own designs, moving faster without lowering the bar. You apply it across the whole lifecycle: shaping a design before any code exists, writing and refactoring, reviewing your own work, as well as automated PR reviews. You jump in. Handed a large, complex, unfamiliar repository, your instinct is to open it and start reading. Complexity and sensitivity are reasons to be careful, not reasons to wait for someone else. You build services that stay maintainable. Clear boundaries, readable code, tests that earn their keep, observability that makes production legible. The next engineer should be able to operate what you built without a tour guide. You think about the person on the other side. During a rush, a confusing screen or one extra tap is not a cosmetic problem. It is a slower line and a worse night for the staff. You go the extra mile. You follow a problem to its actual end, including the parts nobody assigned to you. You take pride in the work and you care how it lands for the merchant on the other side of the screen. What We Offer: Remote B2B (Georgia) or On-site in Belarus and Moldova work opportunity! Stable job with long-term growth perspective. Competitive salary with annual performance review. Top-tier hardware to support your productivity. An exciting and challenging job with talented people around. Continuous learning and career growth opportunities. Compensation for professional training, seminars, and conferences. Referral program – get rewarded for helping us grow the team with talented people. Company-supported English classes to enhance your professional growth. More perks for the Minsk and Chisinau office employees. About us: IDT Corporation is a global communications company founded in 1990 and headquartered in Newark, New Jersey. We are industry leaders in prepaid communication and payment services and one of the largest international voice carriers. We are listed on the NYSE, employ over 1800 people across 20 countries, and have over $1.5 billion in revenues. We are not ”another big IT corporation”— we encourage and support in-house entrepreneurs in developing their ideas into business actions. About NRS: National Retail Solutions (NRS) is a leading provider of point-of-sale, payment, and digital solutions to tens of thousands of independent retailers across the United States and Canada. NRS is now expanding into a completely new vertical: restaurant technology. We are building a brand-new Restaurant POS platform, a modern and highly capable system designed specifically for restaurant operations. This is one of the most significant product expansions in NRS history and will open a major new market for the company. This is a real opportunity to help build something new and important. It seems like you are interested if you are here, so let’s chat!

Location: Remote-Friendly, United States 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 As a Manufacturing Engineer within the Data Center Infrastructure organization, you will own how Anthropic's servers, racks, and accelerator systems are built at our contract manufacturing and ODM partners. You will design and qualify the assembly, integration, and test processes for each product, bring up new lines and new sites, and drive yield, cycle time, and manufacturing cost once a product is in production. As a subject matter expert in electronics and rack-level manufacturing, you will give the design team early manufacturability feedback, set the process standards our partners build to, and be on the floor when a line is coming up or a yield problem needs solving. If you have built manufacturing processes for complex hardware at a CM or ODM, are passionate about HPC data centers, & enjoy working in complex, fast-paced environments, we welcome you to apply. This is a hands-on role with up to 50% travel to partner factories in the US and abroad. You should be as comfortable addressing issues on the line as you are presenting a vendor improvement plan to leadership. Responsibilities Include: Design and document the assembly, rack integration, and test process for new server and rack products, including work instructions, process flows, takt and cycle time targets, and line layout. Lead new line and new site bring-up at CM/ODM partners, from process validation and capacity verification through pilot builds and release to mass production. Specify, source, and validate tooling, fixtures, and test equipment. Own first-pass yield, cycle time, and process capability in production; run SPC, analyze failure and rework data, and drive corrective actions with manufacturing partners. Provide design-for-manufacturing and design-for-test feedback during product development and represent manufacturing in pilot build reviews. Qualify process changes and engineering changes on the line, including PFMEA updates, control plan revisions, and operator training, before changes are cut in. Replicate a qualified process from one line or site to another without a yield or throughput regression, and audit partner lines against Anthropic standards. Partner with product engineering, test engineering, quality, and supply chain to resolve systemic build issues and reduce per unit cost. You may be a good fit if you: Have 8+ years of experience in manufacturing engineering or process engineering for complex electromechanical or electronics products built at a contract manufacturer or ODM. Have designed and released a production process end to end, including line layout, work instructions, fixtures, and test, and owned its yield and cycle time in mass production. Have led a new line or site bring-up at a manufacturing partner. Are experienced with common manufacturing engineering tools such as: PFMEA, control plans, SPC, process capability, gauge R&R, DFM/DFT, and structured root cause methods such as 8D. Are comfortable on the factory floor and can diagnose a process problem through observation and analysis of factory telemetry. Communicate clearly with partner engineers and operators on the floor and with leadership in a readout. Can travel to partner manufacturing sites, domestic and international up to 50% of the time. Have a degree in Mechanical, Industrial, Manufacturing, or Electrical Engineering, or equivalent practical experience. It’s a bonus if you have: Experience manufacturing servers, racks, switches, or accelerator systems at data center scale. Experience with liquid-cooled rack integration, including cold plates, manifolds, CDUs, and leak and fill test processes. Experience with SMT and PCBA process, box build, and rack\-level system integration and test. Experience qualifying a second CM or second site for an existing product. Experience with lean and continuous improvement methods (value stream mapping, kaizen, Six Sigma) applied at a manufacturing partner. A Master's degree or better in a relevant engineering discipline. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 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: Brazil Why Join Exadel We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks. From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next. What powers it all? Our people are ambitious, collaborative, and constantly evolving. What You’ll Do Embed within client environments, working onsite with the people performing the work and the executives sponsoring it. Lead discovery sessions to understand the client’s business, systems, data, operating model, and underlying challenges. Translate ambiguous business problems into prioritized and quantified opportunity maps, supported by clear baselines and accountable client owners. Identify which opportunities are genuinely worth pursuing and advise against initiatives that do not provide sufficient business value. Build trust in the client’s data and deliver working, data-grounded prototypes within the first weeks of an engagement. Design, develop, debug, and deploy production-grade AI agents, integrations, data pipelines, and applications within client systems. Remain hands-on in the code whenever technical progress or delivery outcomes depend on it. Define evaluation frameworks, quality thresholds, regression gates, and monitoring strategies for AI and agentic systems. Monitor model and data drift and design effective human-in-the-loop controls for high-impact workflows. Scope, sequence, and coordinate delivery across engineers, architects, and specialist contributors. Make explicit trade-offs between scope, delivery speed, quality, and business value. Orchestrate Exadel Colleague to accelerate delivery and scale successful implementation patterns. Convert successful deployments into reusable reference architectures, agent templates, integration blueprints, evaluation frameworks, and delivery playbooks. Produce clear technical documentation, operational runbooks, and knowledge-transfer materials. Train client teams to independently operate, maintain, and extend delivered solutions. For Senior FDEs, independently lead executive discovery, direct pod execution, and take full accountability for engagement outcomes. For Senior FDEs, mentor other Forward Deployed Engineers and ensure reusable delivery patterns are incorporated into Exadel Colleague. What You Bring Mid-level hands-on technical experience, including client-facing capacity. For the Senior Forward Deployed Engineer level, senior-level experience, including technical delivery leadership across multidisciplinary teams or pods. A demonstrated record of delivering production software used by real users and business teams. Practical experience designing, deploying, and debugging LLM-backed or agentic systems in production. Advanced proficiency in Python, along with experience using TypeScript or JavaScript and SQL. Strong knowledge of prompt and context engineering, agent architecture, tool and function calling, and retrieval-augmented generation. Experience with Model Context Protocol servers, sub-agents, skills, and agent development frameworks such as the OpenAI Agents SDK or Claude SDKs. Experience designing evaluation harnesses, quality thresholds, regression gates, drift monitoring, and observability for non-deterministic systems. Understanding of human-in-the-loop control design and where human review should remain within automated workflows. Experience with data modeling, domain ontologies, ETL or ELT pipelines, relational databases, vector stores, and embedding pipelines. Experience building and deploying solutions on AWS, Azure, or GCP. Familiarity with Docker, Kubernetes, CI/CD, infrastructure as code, serverless architectures, and enterprise deployment patterns. Experience integrating with REST or GraphQL APIs, webhooks, event-streaming platforms, identity systems, and SSO. High agency and sound judgment when working through ambiguity, incomplete information, and evolving client requirements. Demonstrated ability to become credible and productive quickly within unfamiliar industries and business domains. A habit of clarifying the problem, identifying constraints, and explicitly stating assumptions before developing a solution. The ability to communicate effectively with both executive and technical audiences. Strong technical writing skills, with the ability to explain complex concepts clearly and precisely. Commercial judgment and the ability to connect technical decisions to measurable business value. Strong analytical and mathematical rigor when working with incomplete, inconsistent, or unstructured data. Fluent English communication skills. Willingness to travel approximately 25–50% and work onsite in client environments. Nice to have A university degree is preferred but not required. Demonstrated evidence of successfully delivered work will be valued ahead of formal qualifications. Java, C#, or C++ within legacy enterprise environments. Node.js, React, or Next.js for client-facing applications. Fine-tuning fundamentals and multi-agent orchestration. TDD or BDD practices. Large-scale data processing platforms such as Spark, Databricks, or Snowflake. PostgreSQL, MySQL, or comparable relational databases. On-premises, sovereign, or restricted-cloud deployment models. Enterprise systems such as Jira, Azure DevOps, ServiceNow, Salesforce, or SAP. GitHub or GitLab-based delivery workflows. English level Fluent Legal & Hiring Information Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more Reasonable accommodations are available to enable individuals with disabilities to perform essential functions Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs Compensation details are shared with candidates at the early stage of the recruitment process. The offer is not binding until a signed contract is in place. This position supports US-based operations; however, contracting will be executed locally in Brazil as a [PJ / CLT] engagement. Compensation is set and paid strictly in Reais (BRL). Your Benefits at Exadel Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details. International projects In-office, hybrid, or remote flexibility Medical healthcare Recognition program Ongoing learning & reimbursement Well-being program Team events & local benefits Sports compensation Referral bonuses Top-tier equipment provision Exadel Culture We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

Location: Bengaluru, Karnataka, India, APAC From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role As a Staff Full-Stack Engineer on the Cloud Clients team, you’ll own end-to-end delivery across the surfaces where dbt developers do their work: dbt Studio in the browser, the dbt VS Code extension, and the CLI workspace runtime that powers both . You’ll help build dbt’s AI-native developer experience , including agent workflows, diff review, streaming tool calls, charts and rich outputs for conversational analytics, and MCP apps that bring dbt projects directly into tools like Claude and Codex. This is a true full-stack role: you’ll work across Python, TypeScript, React, and Kubernetes , with the expectation that you can take a feature from schema and service design through to the final pixel without a handoff What you’ll do Own parts of the CLI workspace runtime that backs both surfaces, including migrating users off our legacy IDE and enabling asynchronous, background agent runs. Design and build agent-facing experiences: streaming responses, transparent tool calls, diff review, and charting / rich output for conversational analytics. Extend dbt into other developer surfaces — MCP integrations that make dbt projects usable directly from AI clients like Claude and Codex. Lead well-scoped projects end to end: write the plan, partner with design and product, ship in two-week increments, and measure whether it worked. Share oncall and customer support for your surfaces, and mentor engineers earlier in their careers. Skills we are looking for 8+ years building production software, including senior-level ownership of projects that ran for months and involved several people. Deep Python experience plus exposure to TypeScript and React experience — you move across the stack without waiting for a handoff. Built and maintained something other developers depend on: an IDE, an editor extension, a CLI, an SDK, an LSP server, or a data tool. Comfort with the operational side of shipping — APIs, Kubernetes, Postgres, observability — and with being on the hook when something breaks. Strong written communication: you can make a technical argument in a document and bring people along. Worked asynchronously as part of a fully-remote, distributed team Bonus points for Shipped LLM- or agent-powered features to production, with real opinions on evaluation, latency, cost, and where models fall down. Worked with the Language Server Protocol, Monaco, CodeMirror, or other code-editor internals. Hands-on dbt, SQL, or data warehouse experience (Snowflake, Databricks, BigQuery, Redshift). Migrated users off a legacy product surface and decommissioned it without breaking them. Go, Rust, or systems-level performance experience. #LI-HYBRID #LI-JI1 Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Renton, Washington, United States We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. At Wizards of the Coast, we connect people around the world through play and imagination. From our genre-defining games like Magic: The Gathering® and Dungeons & Dragons® to our growing multiverse, we continue to innovate and build new ways to foster friendship and connection. That’s where you come in! We are looking for a Senior Software Engineer to join our Business Systems Engineering (BSE) organization. We build the platform and applications that power the creation and production of Magic: The Gathering®, Dungeons & Dragons®, and Duel Masters®. These products drive over $2 billion in annual revenue and are beloved by millions of players worldwide. The systems we build are what make that work possible. This is a role with high impact and real stakes. You'll set technical direction, shape engineering culture, and lead others while staying hands-on. You'll work on the cutting edge of AI-driven software development, pairing technical excellence and engineering discipline with AI-accelerated delivery ensuring quality, reliability, and long-term maintainability. We're on a journey to make history, and we want you to help lead it! If you're motivated by ownership, care deeply about the craft, and want to build something that matters — join the party. What You'll Do: Design and develop services and applications on AWS that are core to our product creation platform. Influence and champion and engineering standards across the org, resulting in effective system design at both the application and service level. Leverage and enhance our AI-assisted development tooling continuously improving the practices, review standards, and quality gates that keep AI-accelerated delivery reliable and maintainable. Own technical decisions end-to-end: assess tradeoffs, align partners, drive execution, and follow through without waiting to be asked. Translate business challenges into well-designed, scalable software solutions in partnership with product owners and cross-functional partners. Influence and build up your teammates through technical direction, and code and design reviews, supporting their growth and career development. What You'll Bring: 8+ years of software engineering experience, with 2+ years in a lead, staff, or senior+ capacity. Proven track record building and operating production-grade enterprise software. Deep understanding of application and distributed system design and architecture patterns. Hands-on experience with AI-assisted development workflows and the judgment to critically evaluate AI-generated code against production quality standards. Proficiency in C#/.NET, Java, Go or comparable languages, AWS, Docker/ECS/EKS), CI/CD pipelines, REST APIs, event-driven systems, and relational database design. A history of influencing engineers through pairing, feedback, and driving technical excellence among your team. A strong sense of ownership and the communication skills to drive outcomes across technical and non-technical partners. Bachelor's degree in Computer Science, Information Technology, or equivalent professional experience. Nice To Have: Experience with React.js or other popular frontend frameworks. Familiarity with event streaming platforms (e.g., Kafka, AWS SNS/SQS). Experience with Kubernetes, Terraform, or infrastructure-as-code practices. Curiosity about or knowledge of Wizards brands. In compliance with local law, we are disclosing the compensation range for this role. The range listed is just one component of Wizards of the Coast’s total compensation package for employees. Employees may also be eligible for annual and long-term incentives. In addition, Wizards of the Coast provides a variety of benefits to employees. Here’s a look at what your benefits package may include: Medical, Dental & Vision Insurance, Paid Vacation Time & Holidays, Generous 401(k) match, Paid Parental Leave, Volunteer Program, Employee Giving & Matching Gifts Programs, Tuition Reimbursement, Product Discounts, and more. Wizards is committed to equality of opportunity in all aspects of employment. We are committed to making all employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, or any other legally protected status. The above is intended to describe the general content of and the requirements for satisfactory performance in this position. It is not to be construed as an exhaustive statement of the duties, responsibilities, or requirements of the position. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. If you are selected to move forward in our application process and need to request an accommodation, please let your recruiter or coordinator know. #Wizards The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package. Pay Range $144,100 — $216,100 USD Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: Health & Wellness Time Off to Recharge Financial Well-being Life & Family Support Volunteer and Community Initiatives Learning & Development Exclusive Perks Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.

Location: Renton, Washington, United States We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. At Wizards of the Coast, we connect people around the world through play and imagination. From our genre-defining games like Magic: The Gathering® and Dungeons & Dragons® to our growing multiverse, we continue to innovate and build new ways to foster friendship and connection. That’s where you come in! We are looking for a Senior Software Engineer to join our Business Systems Engineering (BSE) organization. We build the platform and applications that power the creation and production of Magic: The Gathering®, Dungeons & Dragons®, and Duel Masters®. These products drive over $2 billion in annual revenue and are beloved by millions of players worldwide. The systems we build are what make that work possible. This is a role with high impact and real stakes. You'll set technical direction, shape engineering culture, and lead others while staying hands-on. You'll work on the cutting edge of AI-driven software development, pairing technical excellence and engineering discipline with AI-accelerated delivery ensuring quality, reliability, and long-term maintainability. We're on a journey to make history, and we want you to help lead it! If you're motivated by ownership, care deeply about the craft, and want to build something that matters — join the party. What You'll Do: Design and develop services and applications on AWS that are core to our product creation platform. Influence and champion and engineering standards across the org, resulting in effective system design at both the application and service level. Leverage and enhance our AI-assisted development tooling continuously improving the practices, review standards, and quality gates that keep AI-accelerated delivery reliable and maintainable. Own technical decisions end-to-end: assess tradeoffs, align partners, drive execution, and follow through without waiting to be asked. Translate business challenges into well-designed, scalable software solutions in partnership with product owners and cross-functional partners. Influence and build up your teammates through technical direction, and code and design reviews, supporting their growth and career development. What You'll Bring: 8+ years of software engineering experience, with 2+ years in a lead, staff, or senior+ capacity. Proven track record building and operating production-grade enterprise software. Deep understanding of application and distributed system design and architecture patterns. Hands-on experience with AI-assisted development workflows and the judgment to critically evaluate AI-generated code against production quality standards. Proficiency in C#/.NET, Java, Go or comparable languages, AWS, Docker/ECS/EKS), CI/CD pipelines, REST APIs, event-driven systems, and relational database design. A history of influencing engineers through pairing, feedback, and driving technical excellence among your team. A strong sense of ownership and the communication skills to drive outcomes across technical and non-technical partners. Bachelor's degree in Computer Science, Information Technology, or equivalent professional experience. Nice To Have: Experience with React.js or other popular frontend frameworks. Familiarity with event streaming platforms (e.g., Kafka, AWS SNS/SQS). Experience with Kubernetes, Terraform, or infrastructure-as-code practices. Curiosity about or knowledge of Wizards brands. In compliance with local law, we are disclosing the compensation range for this role. The range listed is just one component of Wizards of the Coast’s total compensation package for employees. Employees may also be eligible for annual and long-term incentives. In addition, Wizards of the Coast provides a variety of benefits to employees. Here’s a look at what your benefits package may include: Medical, Dental & Vision Insurance, Paid Vacation Time & Holidays, Generous 401(k) match, Paid Parental Leave, Volunteer Program, Employee Giving & Matching Gifts Programs, Tuition Reimbursement, Product Discounts, and more. Wizards is committed to equality of opportunity in all aspects of employment. We are committed to making all employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, or any other legally protected status. The above is intended to describe the general content of and the requirements for satisfactory performance in this position. It is not to be construed as an exhaustive statement of the duties, responsibilities, or requirements of the position. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. If you are selected to move forward in our application process and need to request an accommodation, please let your recruiter or coordinator know. #Wizards The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package. Pay Range $144,100 — $216,100 USD Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: Health & Wellness Time Off to Recharge Financial Well-being Life & Family Support Volunteer and Community Initiatives Learning & Development Exclusive Perks Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.

Location: United States Chartbeat Inc. is the parent company of Chartbeat, Tubular Labs, FatTail, and Lineup Systems. Together, we’re shaping the future of media strategy and revenue. Trusted by the world's top media brands, Chartbeat, Inc. combines analytics that power smarter audience strategies with revenue solutions that simplify ad operations and accelerate monetization. Our mission is to help customers grow valuable media brands with their content. Join our diverse group of focused, hardworking professionals who are passionate about doing work that’s challenging and fun — and who strive to maintain a healthy work/life balance. About the Role Chartbeat, Inc. is the parent company of Chartbeat, Tubular Labs, FatTail, and Lineup Systems. Together, we’re shaping the future of media strategy and revenue. Trusted by the world's top media brands, Chartbeat, Inc. combines analytics that power smarter audience strategies with revenue solutions that simplify ad operations and accelerate monetization.As part of our OMS product portfolio, Lineup and FatTail provide media owners with an end-to-end order management solution built for ad sales teams across news, digital, streaming, B2B, OOH and other segments. We're hiring a Content Strategist to turn deep product and market expertise into content that reaches buyers directly and drives demand for Lineup and FatTail. You'll work alongside our other Product Marketing Manager, who owns internal enablement: positioning, messaging, sales materials. You'll take that same product and market knowledge and shape it into content built for buyers: articles, reports, POVs, case studies, and more. You'll also serve as the product subject matter expert for our Content Marketing team on Lineup and FatTail, shaping their content strategy and planning from the earliest stages. Key Responsibilities Content strategy and ideation Identify content angles that differentiate Lineup and FatTail in a crowded, relationship-driven market, grounded in competitive intelligence, customer research, and product knowledge. Advise Content Marketing on what's worth making and why, ahead of their planning cycles, so domain expertise shapes the brief from the start. Content creation Write and structure long-form, client-facing assets: articles, reports, POVs, case studies, video scripts, event presentations. Use AI tools to accelerate drafting and partner with a writer for polish when helpful. Subject matter expertise Serve as the go-to product and market expert on Lineup and FatTail for Content Marketing. Stay aligned with the internal enablement PMM to keep external content and internal sales narrative consistent. Handoff and collaboration Deliver finished or near-finished assets to Marketing for distribution (social, email, promotion) and to Design for visual polish. Work cross-functionally and move things forward independently. Qualifications 5+ years experience Strong storytelling instincts. You can look at a messy, technical landscape and find the angle that makes someone care. Comfortable writing and shipping content yourself, using AI tools or a writer for cleanup, and confident originating your own ideas. Deep familiarity with the ad tech or media operations landscape: direct experience at an OMS or ad tech vendor, in ad ops or ad sales operations at a media company or publisher, or covering ad tech as a journalist or analyst, or similar. Track record working cross-functionally with marketing, content, and product teams. Benefits Comprehensive Health, Dental, and Vision Insurance 401K with company match (100% of the first 3% and 50% of the next 2%) Fully Paid Parental Leave - 18 weeks for birthing parents, 12 weeks for non-birthing parents Phone and internet stipend Wellness, learning, and coworking reimbursements Flexible work hours Unlimited PTO 11 paid holidays and December holiday closure Annual In-Person Event The compensation range for this position is between $90,000-$115,000 (Salary is negotiable and will be tailored to your experience, skills, and the value you bring to the role.) Diversity, Equity, and Inclusion Statement At Chartbeat we strive to create and continually grow as a company where all employees are able to be their authentic selves.  We are committed to recruiting, hiring, and retaining employees from different backgrounds, viewpoints, and experiences. Our strength is our diversity and we are dedicated to continuously reflect upon, and evolve our efforts to maintain  a diverse, equitable and inclusive ecosystem. Equal Opportunity Employment Statement Chartbeat is an Equal Opportunity Employer and does not discriminate on the basis of race, color, gender, sexual orientation, gender identity or expression, religion, disability, national origin, protected veteran status, age, or any other status protected by applicable national, federal, state, or local law. Chartbeat's CCPA disclosure notice can be found here .

Location: Sydney, Australia 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 As an Enterprise Account Executive at Anthropic's Industries team, you'll drive the adoption of safe, frontier AI by securing strategic deals with top enterprises across the Australia markets, unlocking new value streams throughout their business. You'll leverage your consultative sales expertise and technical acumen to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, Product, Engineering, and cross-functional teams, you'll continuously refine our value proposition, sales methodology, and market positioning to ensure differentiated value across the Australia landscape. You will be contributing to the GTM strategy for our Industries team, focusing on sector-specific solutions and strategies within key verticals. The Industries team operates as a specialized set of teams with dedicated Account Executives aligned to specific high-priority verticals including Financial Services, Healthcare and Life Sciences, and Industries Generalist. As part of our broader Commercial Industries coverage, you'll focus on the diverse range of enterprise verticals beyond these core specializations - including Telecom, Media, Energy, Manufacturing, Retail, Transportation and other major industry sectors that represent significant growth opportunities for AI adoption. This is a highly consultative sales role as you will be cross-selling with our existing team of Account Executives, determining pricing strategy, and influencing the product roadmap based upon customer feedback. You will help define our solution-led selling approach, positioning us as strategic advisors, and provide a continuous feedback loop for internal teams to iterate on. You should be passionate about developing industry expertise, collaborating cross-functionally, and executing on our approach to the market. By driving expansion within key accounts and acquiring new logos in strategic verticals, you will help enterprises obtain new capabilities while also advancing the ethical development of AI. Responsibilities: Contribute to the Industries team GTM strategy, identifying new use cases within your assigned verticals, winning new business, and sharing feedback with cross-functional teams Drive strategic expansion within key accounts in established verticals and new logo acquisition within emerging verticals Break into new accounts and cross-sell into existing business alongside our team of Account Executives Own a revenue target and all aspects of the sales cycle from prospecting to close, including outbounding and engaging Tier 1 accounts Lead with conviction by providing clear recommendations based on deep industry expertise rather than presenting a menu of options Prioritize organizations that can serve as lighthouse customers and references within their industries Become a trusted advisor to customers, understanding their unique needs and crafting tailored AI solutions. Co-innovate with customers and sell on the product roadmap while appropriately setting expectations Collaborate extensively with cross-functional partners including product, engineering, legal, marketing, and Applied AI to help bring new solutions to market and provide feedback to shape roadmaps Develop sales collateral, proposals, and presentations to effectively position Anthropic's AI products. Continuously refine sales tactics and share best practices You may be a good fit if you have: 12+ years of enterprise sales experience driving adoption of emerging technologies with a consultative, solutions-oriented sales approach in the ANZ market. Experience selling into BFSI, Media, Energy, Manufacturing, Retail, Telco, Transportation verticals A track record of managing complex sales cycles and securing strategic deals by understanding multifaceted technical requirements and crafting tailored solutions Demonstrated ability to navigate dynamic stakeholder ecosystems, building consensus and providing innovative solutions to disparate groups Extensive experience negotiating highly complex, customized commercial agreements with multiple stakeholders Proven experience exceeding revenue targets in fast-paced organizations by effectively managing an evolving pipeline and sales process Excellent communication skills and the ability to present confidently and build connections across all customer levels, from ICs to C-level executives A knack for bringing order to chaos and an enthusiastic "roll up your sleeves" mentality. You are a true team player A strategic, analytical approach to assessing markets combined with creative, tactical execution to capture opportunities A passion for and/or experience with advanced AI systems. You feel strongly about ensuring frontier AI systems are developed safely 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: Remote (USA) Workplace: remote Arcadia is dedicated to happier, healthier days for all. We believe that there is a better healthcare world — one powered by data. Our platform transforms complex, diverse data into a unified foundation for health, helping organizations deliver better care, boost revenue, and lower costs. We're a team of fiercely driven individuals committed to making healthcare more sustainable — and we're looking for passionate people to help us get there. For more information, visit arcadia.io. Arcadia helps healthcare and life sciences organizations deliver measurable results. We unify fragmented data across the healthcare ecosystem so payers, providers, ACOs, and life sciences companies can make confident decisions grounded in trustworthy intelligence. Our platform supports more than 200 organizations and 40 million attributed lives across value-based care, risk adjustment, population health, and life sciences programs.  Why This Role Is Important to Arcadia Arcadia's commercial team depends on consistent process, clean pipeline data, and forecasts to help manage and grow the business. As a fast-growing company, we need to scale our infrastructure, systems and operating model to one that aligns to the pace of the growth. This role owns the systems, tools, and cadences that make pipeline reviews, forecasting, and reporting consistent and accurate across the entire commercial team. Part of the initial mandate is understanding the current ecosystem of tools and technology that support commercial and revenue operations today, and making recommendations on the optimal tech stack for the function going forward — one that is AI native. This person will be the accountable owner of that stack and roadmap, partnering closely with Product and Tech to build the AI-native operating system rather than building it in isolation. This person will run point on sales operations and the forecasting cadence, and will build the AI-powered operating layer (dashboards, briefings, and workflow tools) that gives the entire commercial organization — not just its leadership — real-time visibility and leverage. This is role is for someone who is execution oriented. You'll work in the tools yourself — not just direct others to — while also setting the strategy, systems, and rigor that let Sales, Marketing, Customer Success, Legal, and Finance move as one aligned, predictable engine. What You'll Be Doing Own the revenue operating system, designing and scaling the processes, metrics, and infrastructure that drive consistent, predictable performance across the business Partner with Systems Engineering to drive end-to-end improvements and scalability in Salesforce, including structure, data hygiene, workflow automation, and adoption across the sales org Evaluate the current ecosystem of tools and technology supporting commercial and revenue operations, and make recommendations on the optimal, AI-native tech stack for the function Serve as the accountable owner of that tech stack and roadmap, partnering closely with Product and Tech to build the AI-native operating system rather than building it in isolation Own pricing strategy, SKUs, and the end-to-end quote-to-cash process, ensuring pricing structures and deal execution are clean, consistent, and scalable Own the forecasting cadence and develop robust, repeatable forecasting models (pipeline, bookings, ARR) that improve accuracy and predictability Build the AI-powered operating layer — automated briefings, pipeline intelligence, meeting prep, and reporting dashboards — that gives the commercial organization real-time visibility Establish and maintain a unified KPI framework, ensuring alignment on definitions, visibility, and accountability across the funnel Act as connective tissue across live opportunities, coordinating Marketing, Finance, the RFP team, Value Enablement, and Sales Engineering so they're effectively leveraged Partner with Sales, Marketing, Customer Success, and Finance leadership to align execution with company goals and financial plans Analyze pipeline health, conversion rates, and sales efficiency to identify opportunities and drive improvements Design and manage sales compensation and incentive plans that align with business objectives and drive desired behaviors across GTM teams What Success Looks Like In 3 months Build a deep understanding of Arcadia's GTM model, revenue streams, and key SaaS metrics (ARR, NDR, GDR, pipeline coverage, win rates, sales cycle) Assess current RevOps infrastructure, CRM configuration, reporting, and forecasting methodologies Map the current ecosystem of tools and technology supporting commercial and revenue operations, and begin forming a point of view on the optimal, AI-native tech stack Establish trust across Sales, Marketing, Customer Success, and Finance leadership In 6 months Own the CRM and forecasting cadence end-to-end, with a unified KPI framework giving clear visibility into pipeline health, revenue performance, and GTM efficiency Ship the first version of the AI-powered operating layer (automated briefings, dashboards, and reporting tools) that reduces manual reporting burden for commercial leadership Improve forecast accuracy through enhanced pipeline modeling and data-driven insights In 12 months Operate a scalable revenue operating system — process, CRM, forecasting, and AI tooling — that enables predictable growth and aligns planning across GTM and Finance Deliver consistent, high-confidence forecasts and actionable insights that directly inform the executive team's decisions Improve key performance metrics (e.g., pipeline coverage, conversion rates, sales productivity, retention) through data-driven optimizatio What You'll Bring The Role, Done Before You have held this exact role — Head/Director of Revenue Operations or equivalent — at a company of similar growth stage, and can point to what you built and owned. Growth-Stage Fluency Track record of operating at growth-stage speed and ambiguity — scrappy, resourceful, and comfortable building infrastructure from scratch rather than administering something already built. Candidates whose experience is exclusively at large, mature organizations without growth-stage exposure are not a fit for this seat. Deep SaaS Metrics Expertise Strong command of key SaaS metrics including ARR, NDR, GDR, CAC, LTV, pipeline coverage, and sales productivity, and how they connect to business performance. Forecasting & Modeling Rigor Proven ability to build and operationalize forecasting models (e.g., pipeline velocity, ARR forecasting) that improve accuracy and predictability. CRM & Systems Ownership Deep, hands-on experience owning a CRM (Salesforce or equivalent) and the broader GTM tech stack — configuration, data integrity, and workflow design, not just consumption of dashboards. Pricing & Quote-to-Cash Experience Hands-on experience owning pricing strategy, SKU structure, and the quote-to-cash process, ideally in a company that scaled or restructured its pricing model. AI-Forward Comfortable using AI tools to build operational leverage — automating reporting, briefings, and workflows rather than relying solely on headcount to scale. Cross-Functional Leadership Track record of partnering effectively with Sales, Marketing, Customer Success, Finance, and executive leadership to drive alignment and results. Operator Mindset Ability to move between strategy and execution, translating insights into action and driving measurable impact. Would Love for You to Have 8–12+ years of experience across Revenue Operations, Sales Operations, or GTM analytics in a SaaS environment Experience supporting a high-growth SaaS company through key milestones (e.g., post-acquisition integration, scale-up, or M&A) Familiarity with modern BI, AI, and planning tools (e.g., Sigma, Adaptive, Salesforce ecosystem, AI-native reporting/agent tools) and building self-service analytics environments Experience designing and optimizing sales compensation plans at scale What You'll Get The mandate to build a consistent, predictable commercial engine — including its AI-powered tooling — rather than inherit and maintain one A growth path from individual contributor to leading the people and functions that support sales operations as Arcadia scales A mission-driven culture where your work supports better healthcare outcomes Competitive compensation and strong benefits, including Flexible Time Off A collaborative, data-driven environment focused on impact, ownership, and continuous improvement About Arcadia Arcadia.io helps innovative providers and payers across the country transform healthcare to reduce cost while improving patient health. We do this by aggregating large amounts of disparate data, applying algorithms to identify opportunities to provide better patient care, and making those opportunities actionable by physicians at the point of care in near-real time. We are passionate about helping our customers drive meaningful outcomes. We are growing fast and have emerged as a market leader in the highly competitive population health management software market and have been recognized by industry analysts KLAS, IDC, Forrester, and Chilmark for our leadership. For a better sense of our brand and products, please explore our website. Protect Yourself If you have concerns about the authenticity of a job offer or recruitment-related communication claiming to be from Arcadia, we encourage you to verify by contacting us directly at (781) 202-3600 and select option 3. For more information, visit our website. This position is responsible for following all Security policies and procedures in order to protect all PHI under Arcadia's custodianship as well as Arcadia Intellectual Properties.  For any security-specific roles, the responsibilities would be further defined by the hiring manager. This role is bonus eligible

Location: United States Workplace: Remote ClickHouse is looking for an experienced engineer to join our Observability organization. We are hiring across two closely aligned teams: Observability Platform and Internal Observability. Together, these teams build and operate the systems behind ClickHouse’s internal observability and ClickStack Cloud. Our platforms process trillions of events per day, sustaining throughput in the hundreds of millions of events per second. The experience we gain operating observability at ClickHouse scale feeds directly back into the platform and product we provide to customers. The Observability Platform team builds shared systems for telemetry ingestion, durable buffering, processing, storage, autoscaling, and service provisioning. The Internal Observability team operates ClickHouse’s company-wide observability platform and works with engineering teams to improve reliability, debugging, and operational efficiency. This is a software engineering role at the intersection of distributed systems, cloud infrastructure, and production operations. You will build systems, operate what you build, respond to incidents, and turn recurring operational problems into durable software and automation. Your background may be in backend engineering, infrastructure, SRE, or systems engineering. What matters most is your ability to solve ambiguous production problems, make sound engineering tradeoffs, and take ownership from design through operation. WHAT YOU’LL DO - Design, build, and operate distributed systems that ingest, process, and store telemetry at very high scale. - Own the reliability, performance, capacity, and cost-efficiency of telemetry pipelines and storage systems. - Participate in the on-call rotation, help resolve production incidents, and drive root-cause fixes through to completion. - Build software and automation that eliminate repetitive operational work and make the platform easier to operate. - Identify architectural bottlenecks and help shape the roadmap for the next stage of scale. - Work closely with product, infrastructure, and service teams across ClickHouse. - Contribute to architecture and design reviews and help raise engineering quality across the team. HOW YOU WORK - You take ownership and proactively improve the systems around you. - You are comfortable debugging unfamiliar distributed systems in production. - You make pragmatic tradeoffs between reliability, performance, delivery speed, and cost. - You communicate clearly in a remote, async-friendly environment. - You prefer incremental delivery: ship a focused solution, validate it in production, and improve it based on evidence. - You address the underlying cause of operational problems rather than repeatedly treating the symptoms. TECHNICAL EXPERIENCE - 5+ years of experience building and operating production systems at scale. - Strong proficiency in Go. - Experience building and operating services on Kubernetes. - Experience with infrastructure-as-code and GitOps tooling such as Terraform, Helm, and Argo CD. - Production experience with at least one major cloud provider: AWS, GCP, or Azure. - Hands-on experience with telemetry systems such as OpenTelemetry, Prometheus, Grafana, or comparable technologies. BONUS POINTS - Experience with ClickHouse. - Experience with high-throughput ingestion, streaming, queueing, or storage systems. - Experience building multi-tenant cloud services. - Experience optimizing infrastructure for both performance and cost. - Experience with TypeScript. #LI-Remote PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new team member who joins our company receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: United States Workplace: Remote ClickHouse is looking for an experienced engineer to join our Observability organization. We are hiring across two closely aligned teams: Observability Platform and Internal Observability. Together, these teams build and operate the systems behind ClickHouse’s internal observability and ClickStack Cloud. Our platforms process trillions of events per day, sustaining throughput in the hundreds of millions of events per second. The experience we gain operating observability at ClickHouse scale feeds directly back into the platform and product we provide to customers. The Observability Platform team builds shared systems for telemetry ingestion, durable buffering, processing, storage, autoscaling, and service provisioning. The Internal Observability team operates ClickHouse’s company-wide observability platform and works with engineering teams to improve reliability, debugging, and operational efficiency. This is a software engineering role at the intersection of distributed systems, cloud infrastructure, and production operations. You will build systems, operate what you build, respond to incidents, and turn recurring operational problems into durable software and automation. Your background may be in backend engineering, infrastructure, SRE, or systems engineering. What matters most is your ability to solve ambiguous production problems, make sound engineering tradeoffs, and take ownership from design through operation. WHAT YOU’LL DO - Design, build, and operate distributed systems that ingest, process, and store telemetry at very high scale. - Own the reliability, performance, capacity, and cost-efficiency of telemetry pipelines and storage systems. - Participate in the on-call rotation, help resolve production incidents, and drive root-cause fixes through to completion. - Build software and automation that eliminate repetitive operational work and make the platform easier to operate. - Identify architectural bottlenecks and help shape the roadmap for the next stage of scale. - Work closely with product, infrastructure, and service teams across ClickHouse. - Contribute to architecture and design reviews and help raise engineering quality across the team. HOW YOU WORK - You take ownership and proactively improve the systems around you. - You are comfortable debugging unfamiliar distributed systems in production. - You make pragmatic tradeoffs between reliability, performance, delivery speed, and cost. - You communicate clearly in a remote, async-friendly environment. - You prefer incremental delivery: ship a focused solution, validate it in production, and improve it based on evidence. - You address the underlying cause of operational problems rather than repeatedly treating the symptoms. TECHNICAL EXPERIENCE - 5+ years of experience building and operating production systems at scale. - Strong proficiency in Go. - Experience building and operating services on Kubernetes. - Experience with infrastructure-as-code and GitOps tooling such as Terraform, Helm, and Argo CD. - Production experience with at least one major cloud provider: AWS, GCP, or Azure. - Hands-on experience with telemetry systems such as OpenTelemetry, Prometheus, Grafana, or comparable technologies. BONUS POINTS - Experience with ClickHouse. - Experience with high-throughput ingestion, streaming, queueing, or storage systems. - Experience building multi-tenant cloud services. - Experience optimizing infrastructure for both performance and cost. - Experience with TypeScript. #LI-Remote PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new team member who joins our company receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are looking for experienced backend and distributed systems engineers to join the Agentic Systems team within our Platform organization. Agentic Systems builds Claude Managed Agents: the hosted platform for building, running, and scaling production agents on Claude. Instead of every developer hand-rolling an agent loop, sandboxed execution, state management, credential handling, and error recovery — and reworking all of it with every model release — Managed Agents pairs an Anthropic-built agent harness with production infrastructure for sessions, environments, tools, memory, and permissions, exposed through a small set of composable APIs designed to stay stable as models and harnesses evolve. It powers agentic products inside Anthropic as well as those built by customers on the Claude Platform. Managed Agents is in public beta and growing quickly, and this is still an early team with a lot of surface area left to define. You'll drive 0 → 1 efforts from ideation through GA, own systems end to end from API design through operations, and partner closely with product, research, developer experience, and go-to-market teams to figure out what "managed" should mean for the next generation of agents. You should be comfortable going deep on hard distributed systems problems, care about APIs as a product in their own right, and be motivated by turning ambiguous ideas into high-quality, shipped platform capabilities that other engineers build their products on. What you'll do Scale the platform. Managed Agents runs long-lived, stateful sessions that execute autonomously for minutes or hours/days, persist through disconnections, and resume cleanly — across Anthropic-hosted sandboxes, self-hosted environments on customer infrastructure, and other clouds. You'll design and operate the systems underneath that: durable session and event storage, sandbox orchestration, streaming, scheduling, and multi-tenant isolation. Reliability, latency, and cost efficiency are product features here, and you'll own them in production. Evolve the harness — and prove it with evals. The harness is the loop that calls Claude, routes tool calls, manages context (caching, compaction, memory), and recovers from errors. Harnesses encode assumptions about what the model can't yet do on its own, and those assumptions go stale as models improve. You'll work alongside research to revisit them with each model generation, build the eval infrastructure that measures harness quality against research baselines and real customer workloads, and hold the bar that lets us say our harness gets the most out of Claude. Help builders get the most out of Claude. Our customers — internal and external — are building agents both as products for their users and to transform their own operations. You'll ship the capabilities that raise the ceiling on what those agents can do: outcome-driven execution where developers specify success criteria and a budget and Claude iterates until it gets there, multi-agent orchestration, memory, and the observability and tracing that make long-running agents debuggable. The goal is the highest intelligence per dollar of any agent platform, delivered safely. Design APIs that outlast their implementations. Agents, environments, sessions, vaults, and event streams are interfaces thousands of developers build against and that our own products depend on. You'll shape those primitives — versioning, ergonomics across API, SDK, and CLI, sensible defaults, escape hatches — with the expectation that the implementations underneath will change many times while the contracts hold. You might be a good fit if you: Have a minimum of 8 years of practical experience as a backend, distributed systems, or infrastructure engineer Have built and operated stateful, long-running, or high-throughput systems in production — workflow orchestration, streaming, storage, container or job orchestration — and can reason rigorously about durability, consistency, failure modes, and cost Have strong product sense and treat API design as a craft; you care about the developer on the other side of the interface and can ideate and execute product strategy with cross-functional partners in new domains Are excited by 0 → 1 work and comfortable navigating ambiguity, and have ideally operated in both early-stage and more mature team or company settings Use Claude or other AI tools as a core part of how you build software, and have opinions about what makes an agent harness good Take full ownership of your work — from design through build, deployment, and operations (including on-call), to iterating on and improving what you ship Care about building systems that other engineers and businesses love to use, and about doing so safel Strong candidates may also have: Built or contributed to an agent harness, agent framework, or LLM orchestration layer — tool execution, context management, memory, or multi-agent coordination Worked on an AI or ML platform (model serving, inference infrastructure, developer tooling) at an AI lab or an AI-native product company, or led adoption of AI-driven development inside an engineering organization Built evaluation or benchmarking infrastructure for LLM or agent systems Experience with durable execution or workflow engines, sandboxed code execution, or container runtimes Shipped public developer platforms, APIs, or SDKs used by external developers at scale Deadline to apply: None. Applications will be reviewed on a rolling basis. Location Preference: Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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: Hybrid - New York City About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role We are looking for a Product Manager, Observability to join our Product team. You will own the strategy and roadmap for Vercel's observability products, including Runtime Logs, OpenTelemetry tracing, and Drains, which let teams stream logs, traces, Web Analytics events, and Speed Insights metrics into the systems they already use. You will partner closely with engineering and design to help customers understand and debug what they run on Vercel, both through Vercel's native surfaces and through integrations with vendors that support OpenTelemetry. You will report to the product lead and will be located in New York, NY (hybrid). If you’re based within a pre-determined commuting distance of one of our offices (SF, NY, London, or Berlin), the role includes in-office anchor days on Monday, Tuesday, and Friday. If you're located beyond that distance, the role is fully remote. For location-specific details, please connect with our recruiting team. What you'll do Own strategy and roadmap for Vercel's observability products, from telemetry ingestion through the surfaces developers use to debug and monitor. Turn ambiguous signal — support escalations, customer interviews, usage data, competitive shifts — into a sequenced plan with clear tradeoffs. Partner daily with engineering on scoping, and with design on making dense telemetry data genuinely legible. Define the native-vs-integrate line: what Vercel builds, and where we make Datadog, Sentry, Grafana, Honeycomb, and New Relic work seamlessly. Work with Enterprise customers and Sales/Solutions on observability needs that block adoption or expansion. Own pricing and packaging decisions with Finance and GTM — observability is metered, and unit economics are part of the product. Write the launch narrative: changelogs, blog posts, docs direction, in partnership with PMM Define the metrics that tell you it's working, and hold the team to them. What you need 5+ years in product management, with meaningful time on developer, infrastructure, or data-intensive products. You've shipped something technical enough that engineers treated you as a peer. You can read a trace waterfall and reason about cardinality, sampling, and retention costs. Comfortable owning a domain end to end without a PM above you translating strategy into work. You use the products you build on, and you have opinions about the ones you don't. Fluency with data: you write your own queries and don't wait on someone else to answer a usage question. Bonus if you Have worked at an observability, APM, or monitoring company, or been the internal power user of one at scale. Have shipped AI or agent-facing developer tooling. Have owned consumption-based pricing for a technical product. Are an active Next.js or Vercel user. Benefits & Compensation: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA base pay range for this role is $172,000 - $258,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: București, Romania Workplace: hybrid EveryMatrix is a leading B2B SaaS provider delivering iGaming software, content and services. We provide casino, sports betting, platform and payments, and affiliate management to 300 customers worldwide. But that's not all! We're not just about numbers, we're about people. With a team of over 1400 passionate individuals spread across twelve countries in Europe and Asia, we're all united by our love for innovation and teamwork. Join us on this exciting journey as we continue to redefine the iGaming landscape, one groundbreaking solution at a time. We are looking for Platform Technical Leader to join our team in Bucharest! About the job: The Platform Technical Leader (EM3 & PaaS) will define and drive the architecture and technical operating model for EveryMatrix’s next-generation Platform as a Service. The role will enable EM3 and the wider EM2030 transformation through secure, reliable, automated, and self-service platform capabilities that can operate across datacentres and cloud environments at fleet scale. The role reports to the Platform Engineering Leader and remains within the existing Platform Engineering organization. It will initially have no separate team or direct reports. Delivery will be achieved through technical leadership and dedicated contributors allocated from the existing Platform Engineering streams and specialist teams on a project basis. The role will help shape the future technology-oriented Platform Engineering model and the development of SRE and DevSecOps capabilities without creating a parallel organization. The successful candidate will initially lead the EM3 and PaaS technical direction without a separate team or direct reporting line. Results will be delivered through architecture ownership, technical leadership, organizational influence, and dedicated capacity allocated from existing teams. The candidate must be able to lead engineers and technical outcomes at scale while people management, capacity ownership, and operational accountability remain with the existing Platform Engineering leadership structure. Responsibilities: Define the EM3 and PaaS target architecture, platform principles, roadmap, and reference patterns. Design the platform control plane, management APIs, desired-state model, and fleet-wide lifecycle-management approach. Define automated provisioning, configuration, upgrades, patching, recovery, rollback, version compliance, and decommissioning across infrastructure, Kubernetes, and platform services. Design deployment patterns for single-tenant and smaller multi-tenant environments across datacentres and public cloud. Establish platform products, self-service interfaces, service catalogue standards, golden paths, and reusable blueprints. Define reliability standards, service ownership, production readiness, SLI/SLO practices, observability, resilience testing, and the future SRE operating model. Embed security by default through DevSecOps practices, policy as code, secrets and identity controls, supply-chain security, compliance automation, and automated evidence. Lead cross-team architectural decisions and align Platform Engineering, Infrastructure, DBA, Networking, Security, Architecture, and Product Engineering. Define technical acceptance criteria and decision gates for proof of concept, production readiness, lifecycle readiness, security readiness, and operational readiness. Work with the Platform Engineering Leader on capacity planning, project allocation, skills development, targeted hiring, and the progressive transition to technology-oriented platform domains. Mentor senior engineers and help develop future Platform Engineering, SRE, and DevSecOps leaders. Drive outcomes that allow platform scale to grow without proportional growth in manual operational effort. Own our private cloud infrastructure as a product, setting the technical direction and the roadmap for how it evolves; Define and publish a service catalogue with clear ownership and clear interfaces, so that provisioning compute, storage, environments and infrastructure is a self-service call for our development teams; Deliver secure CI/CD as a service, with pipelines, secrets management, access control and compliance controls built into the platform by default rather than added afterwards; Set, measure and report on SLAs, capacity plans and cost transparency for every service the chapter provides; Establish the engineering standards of the chapter, including infrastructure as code, peer review, automated testing and observability, and hold the team to them; Embed AI-assisted engineering in how the chapter works day to day, and measure the effect it has on delivery speed and quality; Partner with development, architecture and security so that platform capabilities match what our product teams need; Take accountability for the reliability of the platform, including on-call arrangements, incident response, and post-incident learning. Requirements: Proven experience designing, building, or transforming a large-scale internal platform or Platform as a Service capability. Experience with Kubernetes and infrastructure lifecycle management across multiple clusters, locations, or tenants. Strong knowledge of Kubernetes, containers, networking, identity, secrets, storage, distributed data services, and observability. Experience with Infrastructure as Code, GitOps, declarative configuration, reconciliation, platform APIs, and policy-driven automation. Experience delivering automated upgrades, patching, rollback, recovery, and version management. Experience defining platform products, self-service services, service ownership, and operating models. Strong understanding of SRE practices and the design of reliable, observable, production-ready services. Strong understanding of DevSecOps, software supply-chain security, platform security, and automated compliance controls. Experience leading complex technical change across multiple teams without direct organizational authority. Excellent communication and stakeholder-management skills. Nice to have: Experience establishing Platform Engineering, SRE, or DevSecOps capabilities. Experience with hybrid, on-premises, private-cloud, and public-cloud platforms. Experience with single-tenant and multi-tenant deployment models. Experience with Kubernetes fleet management, progressive delivery, upgrade rings, and low-downtime change. Experience with PostgreSQL, ClickHouse, Kafka, Redis, Elasticsearch, or similar distributed services. Experience in regulated, audited, or high-availability environments. Here's what we offer: Start with 22 days of annual leave, with 2 additional days added each year, up to 32 days by your fifth year with us. Hybrid work schedule is available after the first three months of employment, in line with the company policy. Benefit from two Free Fridays each year, limited to one per quarter. 3 sick leave days per year, no doctor's note required. Daily catered lunch or monthly lunch allowance. Private Medical Subscription. Access online learning platforms like Udemy for Business and a budget for external training. Access to an Employee Assistance Program through TELUS Health. Our office perks include parking, on-site massages, and frequent team-building activities in various locations. And did we mention our amazing office space complete with its own pool and gym? At EveryMatrix, we're committed to creating a supportive and inclusive workplace where you can thrive both personally and professionally. Come join us and experience the difference! EveryMatrix is a member of the World Lottery Association (WLA) and European Lotteries Association. In September 2023 it became the first iGaming supplier to receive WLA Safer Gambling Certification. EveryMatrix is proud of its commitment to safer gambling and player protection whilst producing market leading gaming solutions.

Responsibilities: • Build AI agents from concept to production, including LangGraph workflows, RAG systems, prompts, tool/function calling, external integrations, and streaming LLM applications. • Develop backend services with FastAPI/async, PostgreSQL/SQLAlchemy, Celery/Kafka, and write tests; assess quality and resolve production issues. Requirements: • Strong Python development and practical LangGraph experience. • Experience building LLM applications and RAG systems with embeddings, vector search, relevance assessment, Qdrant, and hybrid/dense/sparse search. • Git, REST, asynchronous backend development, and independent task completion. • Familiarity with LiteLLM/vLLM and local models such as Qwen or Gemma.

Задачи: — Разрабатывать и развивать продукт на TypeScript / React / Next.js; — Работать как с frontend, так и с серверной частью; — Разрабатывать интерфейсы с большим количеством real-time данных: цены, позиции, заявки и другие постоянно обновляющиеся данные; — Работать с WebSockets: корректно обрабатывать обрывы соединения и переподключения; — Проектировать структуру данных и работать с PostgreSQL; — Интегрировать blockchain, кошельки и внешние сервисы; — Работать с финансовой логикой продукта, обеспечивать корректность операций и консистентность данных; — Разрабатывать полноценный mobile web-интерфейс; — Подключать и поддерживать внешние API и сервисы; — Использовать Claude Code как часть ежедневного development workflow. Требования: — 5+ лет коммерческой разработки (hands-on опыт написания кода, а не только управление командой); — Уверенный TypeScript как на frontend, так и на backend; — Сильный опыт работы с React и Next.js: App Router, Server Components, SSR; — Опыт работы с PostgreSQL: самостоятельное проектирование таблиц, связей и написание запросов; — Опыт запуска минимум нескольких продуктов или крупных частей продукта до реальных пользователей и ответственность за них end-to-end; — Опыт в fintech, crypto, trading, payments, wallets или других системах, где проходят реальные финансовые операции; — Понимание особенностей финансовых систем: защита от повторного выполнения операций, корректная обработка ошибок и невозможность просто «откатить» часть blockchain-транзакций; — Опыт работы с WebSockets / streaming / real-time data; — Опыт разработки приложений с большим потоком постоянно обновляющихся данных и понимание производительности интерфейса; — Понимание управления состоянием и кешированием данных на клиенте: React Query или аналоги; — Опыт blockchain-интеграций: кошельки, подпись операций, чтение данных on-chain; — Опыт работы с viem или ethers; — Опыт создания touch-интерфейсов, понимание особенностей mobile Safari, клавиатуры, safe areas; — Умение самостоятельно работать с большим количеством внешних интеграций и разбираться с неполной документацией; — Уверенное использование Claude Code в реальной разработке (работа с базой, реализация, рефакторинг, поиск ошибок, Git). Будет плюсом: — Опыт разработки prediction markets (Polymarket, Kalshi или аналоги); — Опыт работы с торговыми системами и order book / биржевым стаканом; — Понимание market и limit orders, partial fills, slippage; — Опыт работы с embedded wallets: Magic, Privy, Web3Auth, Para; — Опыт с relayers, meta-transactions, gas sponsorship; — Знание ERC-4337 / Account Abstraction; — Опыт сверки данных собственной базы с blockchain; — Опыт работы с cross-chain bridges; — Опыт с Polygon; — Опыт с Supabase.