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Location: United States Who We Are MEMX is a technology-driven exchange operator founded by members to benefit all investors. We operate MEMX Equities, MEMX Options, and MX2 Options, and provide market technology to clients. Our mission is to create healthy competition and advocate for market structure reform that results in more efficient and sensible trading experiences for all investors. Description MEMX is seeking a Data Center Operations Intern to support the infrastructure that powers our exchanges. You’ll work alongside our team to gain hands-on experience with server hardware, network equipment, and data center operations while learning how reliable technology supports financial markets. This internship position will be offered as hybrid with 1 day in person at our Data Center in North Bergen, NJ, and 2 days in person at our co-working office in Midtown-NYC. Work Schedule The intern will be expected to work the following schedule: Monday: 1:00pm – 10:00pm ET, in person at our North Bergen Data Center Tuesday: 10:00am – 6:00pm ET, remote Wednesday: 9:00am – 5:00pm ET, in person at our co-working office in Midtown-NYC Thursday: 9:00am – 5:00pm ET, in person at our co-working office in Midtown-NYC Friday: 9:00am – 5:00pm ET, remote Hours are subject to change based on operational needs. * MEMX has currently approved ONLY the following states for remote work: California, Colorado, Connecticut, Delaware, Florida, Georgia, Illinois, Kansas, Maine, Maryland, Massachusetts, Michigan, Nevada, New Jersey, New York, North Carolina, Pennsylvania, South Carolina, Texas, & Utah. What You’ll Be Doing Assist with servers and network equipment under the team’s guidance Help run and organize cables within the data center Support equipment inventory and maintain accurate documentation Assist with routine equipment checks and basic troubleshooting Participate in infrastructure projects and learn how the team keeps our systems running reliably Requirements Current undergraduate student entering their junior or senior year, pursing a degree in Information Technology, Computer Science, Engineering, or a related field Interest in hardware, networking, and hands-on technology problem-solving Basic familiarity with computer systems; coursework or personal projects involving Linux, networking, or hardware are a plus Strong attention to detail, communication skills, and willingness to learn Ability to work in person at our Midtown Manhattan office during the summer Permanent residence in one of MEMX’s approved states for remote work during the internship What You’ll Gain Hands-on experience with the infrastructure supporting a financial exchange Foundational skills in hardware installation, cabling, troubleshooting, and technical documentation Exposure to how data center operations, networking, and engineering teams work together Why MEMX At MEMX, you’ll contribute to meaningful work alongside experienced professionals while developing your skills and learning how our exchanges operate. As part of our summer internship program, you’ll also have access to: Learning opportunities: Attend Lunch & Learn sessions, professional development workshops, and relevant courses. Mentorship and support: Learn from a mentor and a designated buddy who can help guide you throughout the summer. An intern cohort: Connect with interns working across other MEMX teams. Social events: Get to know colleagues, with opportunities to connect with members of MEMX’s C-suite. Regular feedback: Check in with your manager and HR to discuss your progress, ask questions, and get support Future opportunities: All interns are considered for potential internship extensions or a full-time opportunity after graduation, based on performance and business needs. Pay Rate: $30/hourly for undergraduate students Equal Opportunity Statement MEMX is an equal opportunity employer. We are committed to creating a diverse and inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Diversity Inclusion Statement At MEMX, we believe that diversity and inclusion are essential to driving innovation and success. We welcome and celebrate individuals from all backgrounds and perspectives, and we strive to create an inclusive culture where everyone can thrive.

Location: San Francisco, CA | Seattle, WA | New York City, NY | Washington, DC About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role AI is changing what security teams can do. Claude can find and help fix vulnerabilities in code at a pace that wasn't possible a year ago, and we want defenders to have that advantage first. As a Cybersecurity Sales Specialist, you'll own Anthropic's security business across the accounts in one of our business units, such as financial services, healthcare and life sciences, or technology. You'll lead the security strategy with CISOs, partnering with the Account Executives who own the accounts in your industry to drive opportunities and put Claude to work on their hardest security problems. You'll help decide how we sell security, what we learn from customers, and how that shapes our products. The work matters to our mission: a safe transition through transformative AI depends on the people who defend critical systems being able to use it well. Key responsibilities Build and close security business, from the first conversation with a CISO's team through contract and expansion, working with the Account Executive who owns each relationship Create security pipeline with the Account Executives in your industry, from their existing accounts and through outbound to security leaders, events and joint work with partners Lead with the customer's problem: finding and fixing vulnerabilities, application security, security operations, and deploying AI agents securely Partner with your Applied AI engineers on discovery, proofs of concept and architecture, and know when to bring them in Guide customers through security reviews, verification for security use cases, and procurement Teach the Account Executives in your business unit to spot and qualify security opportunities Bring what you hear from security teams back to our product, safeguards and marketing teams Minimum qualifications Experience selling or supporting the sale of cybersecurity products or services to enterprise customers Deep experience in at least one security domain, such as application security, vulnerability management, security operations, cloud, data, identity or endpoint security Ability to hold credible conversations with a CISO, an application security lead and a security engineer about how their work gets done A consultative approach to selling: you understand the problem before you propose anything, and you're honest about what a product can't do A commitment to making AI systems safe and beneficial Preferred qualifications 5 or more years in sales or other customer-facing roles, including 3 or more years selling or supporting cybersecurity products or services for enterprise customers Experience closing complex, multi-stakeholder enterprise deals where the security organization was the buyer or the deciding approver Experience as a specialist alongside account teams while carrying your own number, and the ability to say exactly what you did to win the deal Experience building pipeline where there's no playbook yet, through outbound and partners rather than inherited accounts A record of leading through influence, not authority: Account Executives bring you into their accounts because you help them win Experience selling security in one of the industries we cover, and an understanding of how security is bought and regulated there Experience selling AI, developer or data platform products to technical buyers Hands-on experience as a security practitioner or sales engineer before moving into sales 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: $380,000 — $450,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: United States of America What We Do: Cybercrime is growing, and more businesses are getting hit by threats that used to target only the biggest organizations. That pushes defenders like us to operate at the highest level, and it deepens our need for good people who want to make a meaningful impact. Founded in 2015 by former NSA cyber operators, Huntress is a remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all sizes. We work closely with security teams and service providers protecting complex environments, often without the time or headcount to handle it all. That’s why we build our technology in-house and back it with a 24/7 human-led Security Operations Center (SOC). As a result, our platform is never disconnected from the experts who manage it, ensuring our customers' protection. Huntress now secures more than 6M endpoints and 16M identities worldwide. Those numbers keep growing because more businesses rely on us to help carry the load and operate with more confidence. Every day, you can see that commitment in how we stand with our customers and how we show up for each other. Reports to: Manager, Product Research Location: Remote US Compensation Range: $215,000.00 to $225,000.00  base plus bonus and equity What You’ll Do: Lead product research initiatives that develop and evaluate macOS security product strategies and technologies Identify and prototype new telemetry from Apple's Endpoint Security API and other macOS subsystems to expand prevention, hardening, and detection capabilities Reproduce and analyze macOS attacks through hands-on execution of attacker techniques, malware detonation, and vulnerability exploitation Reverse engineer macOS malware and Apple's own security frameworks (XProtect, XProtect Remediator, Gatekeeper, TCC) to identify coverage gaps and inform product direction Prototype and test new tools and methodologies for offensive operations against macOS endpoints, including EDR evasion and bypass research Build proof-of-concept implementations that demonstrate the feasibility of new capabilities Document research findings and collaborate with Detection Engineering on writing and tuning detectors Coordinate with Product and Engineering teams to integrate and operationalize solutions developed by Security teams Stand up ephemeral research environments and attacker infrastructure using cloud, VM, and container technologies Track Apple platform changes across beta and release cycles, and assess their impact on agent capability, telemetry, and detection coverage Identify and address gaps in macOS product coverage, including false positive and false negative investigations Develop internal and external technical documentation to educate customers and adjacent teams on macOS security risks and opportunities Mentor and teach across the team on macOS internals, malware analysis, and research methodology Promote Huntress' reputation through public speaking, CFPs, blogs, and media interaction What You Bring To The Team: Deep expertise in macOS system internals, including the security model, code signing and notarization, TCC, SIP, persistence, and the Mach-O file format Hands-on experience with Apple's Endpoint Security API and system extension development Authority on macOS security threats, attack techniques, and the current macOS malware landscape Familiarity with macOS fleet management (MDM, configuration profiles, mobileconfig deployment) Experience red teaming and performing attack emulation to bypass EDR on macOS Proficiency with Swift. Additional understanding of Go, Python, and/or Ruby is preferred. Experience with the MITRE ATT&CK matrix, Sigma, YARA, and Elasticsearch/Kibana Track record of building POCs and carrying research from concept through to a shipped product capability Experience leading data requirements work and tying it to cost/benefit analysis on collecting and storing only high-value telemetry Commitment to clear written documentation of research findings Comfortable reading Apple developer documentation, framework headers, and API references to answer undocumented questions An understanding of how SMBs utilize IT automation tools such as PSAs and RMMs is strongly preferred Bonus : Comfortable reverse engineering Mach-O binaries and scripted payloads using debuggers and a disassembler suite (Binary Ninja, IDA Pro, Hopper, or Ghidra) What We Offer: 100% remote work environment - since our founding in 2015 Generous paid time off policy, including vacation, sick time, and paid holidays 12 weeks of paid parental leave Highly competitive and comprehensive medical, dental, and vision benefits plans 401(k) with a 5% contribution regardless of employee contribution Life and Disability insurance plans Stock options for all full-time employees One-time $500 reimbursement for building/upgrading home office Annual allowance for education and professional development assistance $75 USD/month digital reimbursement Access to the BetterUp platform for coaching, personal, and professional growth Huntress is committed to creating a culture of inclusivity where every single member of our team is valued, has a voice, and is empowered to come to work every day just as they are. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, disability, veteran status, genetic information, marital status, or any other legally protected status. We do discriminate against hackers who try to exploit businesses of all sizes. Accommodations: If you require reasonable accommodation to complete this application, interview, or pre-employment testing or participate in the employee selection process, please direct your inquiries to accommodations@huntresslabs.com . Please note that non-accommodation requests to this inbox will not receive a response. Huntress uses artificial intelligence tools to assist in reviewing and evaluating job applications, including resume screening, skills assessment, and candidate matching and comparisons. These AI tools support our human recruiters in the initial review process, but do not make final hiring decisions without human involvement. By submitting your application, you acknowledge this use of AI in our recruitment process. Please review our Candidate Privacy Notice for more details on our practices and your data privacy rights. #BI-Remote

Location: North America Coder builds enterprise software that keeps developers in flow. As a Senior Customer Support Engineer, you will help customers solve complex technical issues, get unstuck faster, and build with confidence. You will work closely with Product, Customer Success, and Enterprise Account Managers to resolve urgent issues, improve support workflows, and turn customer feedback into better product experiences. This is a highly visible role on a growing team, with direct impact on how customers experience Coder.   What you’ll do here - Reproduce and debug customer issues using existing tools, test environments, or custom reproduction setups - Solve incoming technical support requests in a timely manner, including urgent, high-severity cases - Communicate clearly and tactfully with customers throughout the support lifecycle - Gather context, provide diagnostic steps, share resolution guidance, and follow up after issues are resolved - Identify and communicate product usage trends, bugs, and feature requests - Collaborate with Enterprise Account Managers to schedule, coordinate, and lead customer debugging calls - Document customer activity in accordance with internal and external security standards - Guide and mentor new team members on support processes and procedures - Contribute to product documentation, customer knowledge base articles, and best practice guides - Improve support processes, tools, and workflows in collaboration with the broader team - Participate in a periodic on-call rotation for production-down issues   What we’re looking for - Based in the US West Coast timezone - 5+ years of customer support engineering experience, or a comparable customer-facing technical role, preferably with critical software products - 5+ years of experience supporting enterprise customers - 2+ years of experience diagnosing production network connectivity and performance issues - Strong problem-solving, analytical, and troubleshooting skills - Clear, thoughtful communication skills, both verbal and written - Experience with Terraform - Experience with major cloud platforms, distributed systems, microservices architecture, and containerization technologies such as Kubernetes - Experience with a scripting language, such as Bash, Python, or Ruby, to automate reproduction environments and support workflows - Ability to read complex code for troubleshooting - Experience with GitHub - Experience with REST APIs and command line tools - Strong organization, attention to detail, and ability to learn new technologies quickly - Experience working in a startup environment - A customer-first mindset and a strong instinct for automation, process improvement, and efficient resolution strategies   Bonus tacos if you have - DevOps Engineering, Software Engineering, or Systems Administration experience - Software-defined networking experience, such as Tailscale - Experience supporting engineering teams and the tools they use every day ABOUT CODER Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com. INTERVIEW PROCESS  We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders. AI USE DURING THE INTERVIEW PROCESS As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process. Not permitted: Using AI assistance during conversational interviews. Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly. OUR USE OF AI IN HIRING We use AI tools to help manage our recruitment process efficiently and fairly. Specifically: - Ashby and Brainerr help us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions; it helps our team prioritize which applications to review first. - Granola takes notes during our interview calls so our team can focus on the conversation with you. All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models. In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf. If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact careers@coder.com.   CODER IS A PROUD EQUAL OPPORTUNITY EMPLOYER We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.

Location: Remote - Brazil Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Principal Presales Engineer, Product Specialist. About the job This position is needed to partner closely with sales, solutions engineering, and enterprise strategists to consult on complex, multi-product opportunities. You will scope, design, and validate how complex multi-product solutions fit into the client’s ecosystem and help paint the long-term Twilio vision for our customers. You will be a critical partner cross-functionally, working with product, engineering, and marketing to identify and share technology patterns and shifts from our clients (and prospects) to influence product strategy. Responsibilities In this role, you’ll: Develop your expertise of the Twilio platform, use cases and buyer personas, while keeping up with industry trends in Voice + AI Scope, design, and build multi-product solution architecture and compelling presentations to secure the Technical Win Support core sales and solutions engineering team members on value-selling strategies and complex solution sales Design and validate scalable, secure, multi-product messaging architectures aligned to customer ecosystems and long-term Twilio adoption. Partner with Sales, Solutions Engineers, and Enterprise Strategists to drive technical validation and secure the technical win in complex sales cycles. Document recent patterns and technology shifts with our clients and prospects to influence Product and R&D strategy and roadmap via GTM interlock and PDLC processes Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! *Required: Hands-on experience designing and validating Conversational AI or LLM-driven architectures (e.g., integrating OpenAI, Dialogflow, or similar models via APIs). Experience leading pre-sales or solution architecture engagements, including scoping, design, and technical validation in both Portuguese and English language. Strong background in API-based, event-driven systems, with hands-on experience using REST APIs and webhooks. Working knowledge of at least one backend language such as Node.js or Python, with prior software development or equivalent experience. Demonstrated expertise in messaging platforms, including throughput management, retry strategies, and deliverability optimization. Ability to communicate complex technical concepts clearly to technical and executive audiences. Strong collaboration and influencing skills across sales, engineering, and product stakeholders. Desired: Experience working in an overlay or specialist pre-sales capacity. Experience collaborating with Product on roadmap or positioning. Prior exposure to Twilio products or other CPaaS platforms. Business-level proficiency in Spanish. Location This role will be remote, and based in Brazil. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, approximately 15% travel is anticipated to help you connect in-person in a meaningful way. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Location: Toronto, Ontario, Canada Workplace: Hybrid ABOUT SENTRY Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. ABOUT THE ROLE The Streaming Platform team at Sentry is building the next generation of infrastructure that powers our ingestion pipelines and real-time data processing systems. Our platform ingests, processes, and distributes hundreds of thousands of events per second with low latency and high reliability. We are creating a system that makes it easy for Sentry engineers to deploy and run Streaming Applications at scale by simplifying the complexity of Kafka, scaling consumers automatically, and managing state so product teams can focus on building great experiences for developers. As part of this team, you will work on challenges at the intersection of distributed systems, real-time data processing, and developer experience. You will help us create a self-service streaming platform that improves stability, accelerates time to production, and reduces operational overhead. This role is based in Toronto, with three days per week in the office to work closely with engineering teams. IN THIS ROLE YOU WILL - Design, build, and operate components of our Streaming Platform, including Kafka, the streaming runtime, high-level APIs, and developer-facing abstractions. - Implement resilient, high-throughput stream processing systems that handle unbounded datasets with strong correctness guarantees (delivery, checkpointing, watermarking, and more). - Build scalable automation and control plane for Kafka fleet management and improve efficiency. - Partner with product engineers to ensure our abstractions enable fast, reliable, and consistent ingestion pipelines. - Improve observability, monitoring, and failover for mission-critical real-time systems. YOU’LL LOVE THIS JOB IF YOU - You enjoy working on distributed systems at scale and care about reliability and performance. - You like building abstractions that make complex infrastructure easier for others to use. - You are motivated by designing systems that balance flexibility for developers with best practices for stability. - You are excited to shape how Sentry handles near real-time ingestion and analytics at scale. - You value being part of a collaborative team where your contributions make a broad impact across the company. QUALIFICATIONS - At least 2-3 years of software engineering experience, with background in distributed systems, data infrastructure, or real-time streaming. - Proficiency in a programming language such as Python, Rust, Go, or Java (we primarily use Python and Rust, but experience in similar languages is valuable). - Experience building and operating systems in cloud environments such as Kubernetes, AWS, or GCP. - Nice to have: experience with streaming technologies such as Kafka, Flink, Spark Streaming, or similar tools. The base salary range that Sentry reasonably expects to pay for this position is $163,000 to $200,000 CAD. A successful candidate’s actual base salary amount will be determined by a variety of relevant factors including, without limitation, the candidate’s work location, education, work and other relevant experience, skills, and job-related knowledge. A successful candidate will be eligible to participate in Sentry’s employee benefit plans/programs applicable to the candidate’s position (including incentive compensation, equity grants, paid time off, and group health insurance coverage). See Sentry Benefits https://sentry.io/careers/ for more details about the Company’s benefit plans/programs.   EQUAL OPPORTUNITY AT SENTRY Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible. If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io. Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy https://sentry.io/careers/applicantprivacy/.

Location: San Francisco, California Workplace: Hybrid ABOUT SENTRY Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. ABOUT THE ROLE The Streaming Platform team at Sentry is building the next generation of infrastructure that powers our ingestion pipelines and real-time data processing systems. Our platform ingests, processes, and distributes hundreds of thousands of events per second with low latency and high reliability. We are creating a system that makes it easy for Sentry engineers to deploy and run Streaming Applications at scale by simplifying the complexity of Kafka, scaling consumers automatically, and managing state so product teams can focus on building great experiences for developers. As part of this team, you will work on challenges at the intersection of distributed systems, real-time data processing, and developer experience. You will help us create a self-service streaming platform that improves stability, accelerates time to production, and reduces operational overhead. This role is based in San Francisco, with three days per week in the office to work closely with engineering teams. IN THIS ROLE YOU WILL - Design, build, and operate components of our Streaming Platform, including Kafka, the streaming runtime, high-level APIs, and developer-facing abstractions. - Implement resilient, high-throughput stream processing systems that handle unbounded datasets with strong correctness guarantees (delivery, checkpointing, watermarking, and more). - Build scalable automation and control plane for Kafka fleet management and improve efficiency. - Partner with product engineers to ensure our abstractions enable fast, reliable, and consistent ingestion pipelines. - Improve observability, monitoring, and failover for mission-critical real-time systems. YOU’LL LOVE THIS JOB IF YOU - You enjoy working on distributed systems at scale and care about reliability and performance. - You like building abstractions that make complex infrastructure easier for others to use. - You are motivated by designing systems that balance flexibility for developers with best practices for stability. - You are excited to shape how Sentry handles near real-time ingestion and analytics at scale. - You value being part of a collaborative team where your contributions make a broad impact across the company. QUALIFICATIONS - At least 2-3 years of software engineering experience, with background in distributed systems, data infrastructure, or real-time streaming. - Proficiency in a programming language such as Python, Rust, Go, or Java (we primarily use Python and Rust, but experience in similar languages is valuable). - Experience building and operating systems in cloud environments such as Kubernetes, AWS, or GCP. - Nice to have: experience with streaming technologies such as Kafka, Flink, Spark Streaming, or similar tools. The base salary range that Sentry reasonably expects to pay for this position is $155,000 to $190,000 USD. A successful candidate’s actual base salary amount will be determined by a variety of relevant factors including, without limitation, the candidate’s work location, education, work and other relevant experience, skills, and job-related knowledge. A successful candidate will be eligible to participate in Sentry’s employee benefit plans/programs applicable to the candidate’s position (including incentive compensation, equity grants, paid time off, and group health insurance coverage). See Sentry Benefits https://sentry.io/careers/ for more details about the Company’s benefit plans/programs.   EQUAL OPPORTUNITY AT SENTRY Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible. If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io. Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy https://sentry.io/careers/applicantprivacy/.

Location: US, San Diego, CA Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. About The Role As Director of Autonomy at Humanoid, you will lead the team that teaches our bipedal platform to perform locomanipulation tasks in homes and service environments: tidying a room, loading and unloading a dishwasher, putting groceries away, folding laundry, and similar tasks. The output of your team is capabilities that run reliably on real robots and pass our evals, not papers or one-off demos. This is a player-coach role: you own the roadmap, hiring, and delivery, while also training policies, curating data, and debugging failures on the robot yourself. That hands-on work is how you lead: it's how you find what slows the team down and fix it for everyone. This role sits at the intersection of applied deep learning, robotics, and people leadership, working closely with the Controls team on whole-body teleoperation and combining RL controllers with learned policies, and with the Core Technology team on foundation model pre-training for five-finger dexterity and RL methods. If you have hands-on experience with real robot hardware, a track record in applied deep learning, and have led engineers doing this kind of work, we want to hear from you. What You'll Do - Own The Capability Roadmap: Work with product to identify use-case priority, choose the execution strategy, define the evals, and deliver on the agreed timeline. - Lead The Team: Hire, develop, and manage a team of robot learning engineers; set engineering and experimental standards; run day-to-day prioritization. - Co-Own The System 0/1 Interface: Agree with the Controls team on what the policy commands (end-effector targets, root velocity, pelvis height, foot targets, hand joint targets), debug failures across that boundary, and push requirements into the whole-body control roadmap. - Partner On Data Strategy: Specify what good data looks like for bipedal locomanipulation with data collection and external acquisition organizations, ensure diversity and coverage, iterate on operator instructions, and supervise collection on the biped. - Drive Sim-To-Real Transfer: Work with the Simulation team to set up RL training on the digital twin for bipedal tasks, then iterate on reward and simulation quality to ensure transfer to the real world. - Shape Base Model Development: Feed bipedal requirements — embodiment coverage in the pretraining mixture, action representations, latency budgets — into the VLA Core Technology team's base model development, and adopt new base models as they land. - Inform Hardware Design: Interface with the Hardware Design team so findings about hands, arms, and legs on the current generation are reflected in future designs. - Report On Progress: Communicate progress to leadership in terms of capabilities working on the robot, eval results, and failure analysis. WHAT WE'RE LOOKING FOR - 5+ years working on robots (industry or research) with shipped artifacts to show for it, including learned manipulation or locomanipulation policies deployed on real hardware. - Experience leading a team of 5+ engineers doing applied robot learning, including hiring and people management, with capabilities delivered to a deadline. - Hands-on today: you've trained and debugged policies within the last year and intend to keep doing so, and can curate data, post-train a policy, and diagnose failures without delegating that work. - Experience post-training VLA-class policies (autoregressive, diffusion, or flow-matching based) via behavior cloning and/or RL. - Solid understanding of the modern teleoperation and low-level control stack — whole-body control, inverse kinematics, RL locomotion controllers — and the ability to tell whether a failure lives in the policy, the controller, or the data. - Familiarity with deep learning infrastructure: streaming datasets, checkpointing and state management, distributed training, PyTorch or JAX. - Strong grounding in modern software engineering practices, with the ability to document experiments clearly and communicate trade-offs crisply to engineers and leadership. NICE TO HAVE - Experience with multi-fingered dexterous hands: teleoperation and retargeting, tactile sensing, in-hand manipulation. - Experience with legged platforms: bipedal locomotion, whole-body control, humanoid teleoperation. - Experience applying RL to robotics problems in simulation or on real robots. - Familiarity with Physical Intelligence (π) models, NVIDIA GR00T, or similar open VLA frameworks. - Publications at top-tier robotics or deep learning conferences (CoRL, RSS, ICRA, NeurIPS) or equivalent open-source contributions. WHAT WE OFFER - Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources. - Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays. - 401(k) retirement plan with 4% employer match. - Competitive equity: stock options with meaningful upside as we scale. - Free daily catered lunch, snacks, and drinks in‑office. - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics. - Freedom to influence the product and own key initiatives. For this role in California, the expected base salary range is $300,000-$450,000 USD per year; your placement in that range depends on how experience maps to our internal leveling.

Location: San Francisco; New York Workplace: Hybrid About Alchemy Alchemy is the Web3 infrastructure and developer platform that powers millions of users and the world’s most innovative blockchain applications. From enabling $1+ trillion in financial transactions worldwide to scaling L2s and enabling DeFi, Alchemy provides the infrastructure and tools developers need to build reliable, scalable, and accessible experiences. Trusted by companies like JPMorgan, Stripe, Visa, Franklin Templeton, Nike, and backed by a16z, Coatue, Silver Lake, Lightspeed, and Stanford University, Alchemy is building the foundational layer for a decentralized and AI-enabled Web3 ecosystem. For more information, visit alchemy.com http://alchemy.com. THE ROLE We are hiring a software engineer on the Developer Experience team. You will own projects from the first problem statement through production, and measure whether they worked. The team owns how developers discover, adopt, and operate Alchemy: the dashboard, APIs, SDKs, CLI, and MCP server that sit between our infrastructure and the people building on it. A growing share of those users are coding agents, so we design for both. Recent work spans enterprise controls, management APIs, developer observability, onboarding, and self-serve growth. Ahead of us is the shift to agents that discover tools, write code, pay for services with x402, and operate onchain infrastructure on their own. Our stack: TypeScript, Node.js, React, PostgreSQL, Temporal, Kafka, AWS, and Kubernetes. WHAT YOU WILL WORK ON - Agent-native developer tools: our CLI, SDKs, MCP server, x402 payments, and Agent Wallets. - Enterprise capabilities for teams running production traffic: organizations, roles, SSO, key management, audit history, and spend controls. - Public and management APIs for usage, billing, apps, and teams, used by developers, internal tools, and coding agents. - Developer observability and product quality: usage analytics, request logs, alerts, and the reliability of the surfaces developers use every day. WHAT YOU WILL DO - Own projects from problem definition through design, launch, measurement, and on-call. - Design APIs with clear versioning, error handling, safe defaults, and backwards compatibility. - Build data models and services that stay correct and reliable as traffic and customer needs grow, with security built in for users, agents, and services. - Build the user-facing side of your features across our dashboard, CLI, and SDKs, so developers and coding agents can discover and use them safely. - Instrument what you ship. Use activation, adoption, and conversion data, plus direct developer feedback, to decide what to build next. - Write design docs, runbooks, and developer-facing documentation. Review code and technical designs to keep quality high. - Work with Product, Billing, Security, Growth, and other engineering teams. WHAT SUCCESS LOOKS LIKE At six months, you have: - Execution: Scoped, designed and shipped a project across our APIs, backend services, and dashboard or CLI, and paying customers use it in production. - Ownership: Joined on-call and handled incidents in your area without escalating. Your launches ship with alerts, a runbook and a rollback plan. - Impact: Moved a number you can name, such as feature adoption, free-to-paid upgrades, time to first API call, or support tickets. - Team: Earned the team’s trust by making sound technical decisions, collaborating across functions, and improving code and design quality. - Direction: Proposed what the team should build next, backed by usage data and conversations with developers. HELPFUL EXPERIENCE - Blockchain experience is helpful, not required. - Developer platforms, API products, cloud consoles, or enterprise developer tools, including SDKs, CLIs, MCP servers, agent tools, or machine-readable documentation. - Billing, metering, or pricing systems. - Temporal or another workflow orchestration system, plus caching and analytical data systems. - Observability, incident response, and performance optimization. - Blockchain products or developer tools, or agent payment and identity standards such as x402. - Open source contributions, talks, or technical writing. BENEFITS & PERKS 🏥 Private Health Insurance 💪 Gym Reimbursement 🚅 Commuter Benefits 🌴 Flexible Time Off 🥙 In-Office Group Meals 🧠 Learning & Development Stipend 🌎 Company Sponsored Conferences & Events 🎧 Books & Audiobook subscription with Bookster https://landing.bookster.ro/

Location: Easton, United States We are looking for a hands-on, proactive Warehouse Inbound & Returns Supervisor to lead our morning-shift team. In this role, you won't just oversee standard receiving; you will also manage our high-volume returns processing operations. You will lead a dedicated team of 15 to 17 associates across both departments, ensuring we meet our commitments to top active lifestyle brands. If you enjoy a fast-paced environment, love building up a team, and have a sharp eye for process improvements, we want to hear from you! What You Will Do: Lead the Floor: Directly supervise 5–7 receiving associates and roughly 10 returns processing team members. Manage Inbound Flows: Ensure all incoming shipments are unloaded, checked, and put away in racking quickly according to our strict deadlines. Oversee Returns & Repackaging: Direct the team sorting through customer returns. Decide what is damaged and what can be safely repackaged for future customer orders. Plan Labor: Review upcoming shipment loads and coordinate with internal client service teams to ensure you have the right headcount scheduled daily. Train & Coach: Build a multi-skilled team through continuous on-the-floor training, performance feedback, and cross-training. Keep It Safe: Drive a culture of safety across your assigned zone, identifying hazards and ensuring your team follows warehouse safety compliance. What You Bring: Experience: 3+ years of experience leading a logistics team, specifically within receiving, inbound, or returns processing. Tech Literacy: Strong experience working daily with a Warehouse Management System (WMS) and Microsoft Outlook. Physical Ability: Able to stand and walk on the concrete floor for extended periods, lift up to 50 lbs, and climb warehouse ladders or stairs. Communication: Strong verbal communication skills. Being bilingual in Spanish and English is a massive plus, but not required. Education: A high school diploma is required; a Bachelor’s degree in Logistics or Supply Chain is a plus. 2. "Why Apply?" Candidate Pitch Double Exposure Leadership: This isn’t a one-dimensional receiving role. You get to dual-manage standard inbound freight and e-commerce returns, significantly building your operational resume. Real Career Growth: The local footprint is expanding fast. A brand-new facility is opening locally in Q1, meaning plenty of room for upward mobility and future leadership paths as operations grow. Work-Life Balance Culture: Unlike third-party logistics (3PL) providers that force mandatory 70-hour weeks for months at a time, this company values labor management. Peak season operations are carefully managed to prevent leadership burnout. Premium Clients: You get to work directly with high-demand products from major companies in the active lifestyle space.

Location: San Francisco, California; New York, New York 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: As one of Notion’s founding Demo Engineers, you’ll build the global demo engine behind how we bring Notion’s most important customer stories to life. You’ll shape the standards, systems, and experiences that help our Sales teams demonstrate what is possible with Notion, from the first customer conversation through implementation and deployment. This is a high-impact opportunity to create the function from the ground up. You’ll establish global standards, turn our strongest customer solutions into repeatable demos, and give regional teams the tools and autonomy to innovate. Your work will directly influence how customers understand Notion’s platform, AI capabilities, and potential to transform how their organizations work. This role reports to the Global Head of Acquisition and partners closely with Sales, Forward Deployed Engineering (FDE), Enablement, and PMM.   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: - Build the global demo engine that brings Notion’s most important customer stories to life - Partner with Enablement and PMM to define the core narratives, scripts, environments, and assets for each demo - Create a durable release and versioning process so demos stay current as the product evolves - Automate repeatable setup and maintenance wherever possible so the system can scale globally - Turn Notion’s strongest customer and internal solutions into reusable GTM assets - Identify high-impact use cases and transform them into repeatable, field-ready demos - Partner with FDE to package customer solutions, implementation guidance, and technical patterns into demos the field can confidently deliver - Work with GTM Systems to translate demos into workspaces that can be deployed in customer environments - Set the global standard for demo quality and help the field deliver it - Define what great looks like for each demo moment, from the first customer conversation to a tailored technical experience - Train and coach customer-facing teams on storytelling, environment setup, delivery, and troubleshooting - Partner with Enablement to create practical resources and programs that raise demo quality across regions - Create a clear path from experimentation to global scale - Give customer-facing teams a structured way to safely build, test, and pilot new demo concepts - Evaluate the strongest ideas and turn them into scalable standards, templates, and reusable assets - Serve as the strategic demo partner for high-impact opportunities - Advise teams on custom or personalized demos that fall outside the standard portfolio - Help teams balance customer relevance, technical credibility, and speed without compromising quality SKILLS YOU'LL NEED TO BRING: - 5+ years in a technical or customer-facing role such as Solutions Engineering, Sales Engineering, Demo Engineering, Solutions Architecture, or Software Engineering - Experience designing and delivering technical demos, prototypes, or solution experiences for a SaaS product - Strong systems thinking, with experience building scalable standards, templates, documentation, versioning practices, and operating processes - Ability to translate complex product capabilities into clear, compelling customer stories tied to business value - Technical fluency across APIs, integrations, automation, data, permissions, and enterprise security concepts - Working proficiency with scripting or automation tools such as Python or JavaScript - Experience partnering across Sales, Product, Engineering, Enablement, and Marketing to drive alignment and deliver shared outcomes - Strong communication and coaching skills, with the ability to raise the capabilities of customer-facing teams - Comfort creating structure, setting priorities, and making progress in a fast-moving environment with evolving requirements NICE TO HAVES: - Experience building or scaling a demo engineering, solutions engineering, or technical enablement function - Experience with enterprise sales cycles and complex, multi-stakeholder customer environments - Hands-on experience with demo automation platforms such as Consensus, Navattic, Reprise, Storylane, or Demostack - Experience supporting major product launches or global go-to-market programs - Familiarity with AI coding tools such as Claude Code, Codex, or Cursor - Experience with productivity, collaboration, AI, or horizontal SaaS products - Notion power user TOOLS YOU'LL USE: - Demo environments: Notion, plus demo automation platforms as needed - Collaboration: Slack, Salesforce, Gong for call review - Automation: Zapier, scripting tools, API clients (Postman or similar) - AI Coding Tools: Claude Code, Codex, Cursor 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 or New York City, the estimated range for total on target earnings (including base salary and on target incentive pay) for this role is $220,000 - $250,000 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?pvs=74 and NYLL 144 https://notion.notion.site/Ashby-AI-Bias-Audit-2b0efdeead05803bbbfae159ec86c528. #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: Boston, MA Workplace: OnSite Integrations Engineer II, Business Systems At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. WHOOP is hiring an Integrations Engineer II to join the Business Systems team. This team builds and connects the systems that power growth at WHOOP across Finance, Supply Chain, People, Sales, and Membership Services. In this role, you’ll lead the design and implementation of integrations with a strong emphasis on EDI technologies to support the rapidly scaling supply chain and partner ecosystem at WHOOP. You’ll help ensure the seamless exchange of structured data between WHOOP and its external vendors, logistics providers, and partners, while also enabling long-term flexibility and resilience in our enterprise architecture. RESPONSIBILITIES: - Design, build, and maintain EDI integrations that connect WHOOP with external trading partners, vendors, and third-party logistics providers - Lead efforts to implement and manage EDI standards such as ANSI X12 or EDIFACT across key transaction sets (e.g., 850, 810, 856) - Collaborate with internal teams across Supply Chain, Finance, and Sales to translate business needs into scalable EDI and system integration solutions - Manage and optimize the integration platform and EDI infrastructure, ensuring reliability, security, and visibility of data flows - Support onboarding of new trading partners by defining mapping specifications, conducting testing, and managing production cutovers - Develop and enforce best practices for system interoperability, data transformation, and monitoring across enterprise systems - Proactively identify opportunities for automation and efficiency improvements across systems and workflows QUALIFICATIONS: - 4+ years of experience in systems integration or backend engineering roles, with a focus on EDI integrations - Deep expertise in EDI standards (e.g., ANSI X12, EDIFACT) and familiarity with key transaction sets used in supply chain and finance workflows - Hands-on experience with EDI platforms or integration tools (e.g., Cleo, SPS Commerce, Boomi, Orderful, MuleSoft, Workato) - Strong proficiency in data transformation and mapping technologies, and understanding of structured data formats such as JSON, XML, and flat files - Familiarity with backend programming languages (e.g., Python, Java) and experience building or managing APIs - Familiarity with ERP, logistics, and finance systems such as NetSuite, SAP, or similar - Proven ability to partner with cross-functional teams and external vendors to manage integration projects end-to-end - Excellent communication skills and ability to collaborate with both technical and non-technical stakeholders - Experience in high-growth environments with complex business systems and data ecosystems - Strong problem-solving skills and ability to work independently in a fast-paced, dynamic environment - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.   Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/to determine employment eligibility   The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.   At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.   The U.S. base salary range for this full-time position is $125,000 - $175,000 Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.   In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. Job Description As a Data Engineer, you will be a member of the Data Science & Analytics team building the foundation to scale analytics across our organization. You will collaborate with key stakeholders in Engineering, Product, and other areas to build scalable solutions to transform data into key metrics reporting and insights. You will be responsible for ensuring teams have access to reliable, accurate metrics for consumer products from idea to implementation. You will also lead your own projects to enable self-serve insights to help teams make data-driven decisions. Responsibilities : Understand and whenever possible proactively identify the data needs of stakeholder teams in terms of key data models and reporting, and translate that into technical requirements Define, build and manage key data pipelines in dbt that transform raw logs into canonical datasets Establish high data integrity standards and SLAs to ensure timely, accurate delivery of data Develop insightful and reliable dashboards to track performance of core metrics that will deliver insights to the whole company Build foundational data products, dashboards and tools to enable self-serve analytics to scale across the company Closely partner with stakeholders to define and materialize metrics and analysis for new and evolving consumer products in a fast paced environment Influence the future roadmap of Product teams from a data systems perspective Become an expert in our organization’s data models and the company's data architecture You might be a good fit if you have: 7+ years of experience as an Data Engineer or similar Data Science & Analytics roles, preferably partnering with Product leads to build and report on key company-wide metrics. A passion for the company's mission of building helpful, honest, and harmless AI. Expertise in building multi-step ETL jobs through tooling like dbt; proficiency with workflow management platforms like Airflow and version control management tools through GitHub. Expertise in SQL and Python to transform data into accurate, clean data models Experience building data reporting and dashboarding in visualization tools like Hex to serve multiple cross-functional teams. A bias for action and urgency, not letting perfect be the enemy of the effective. A “full-stack mindset”, not hesitating to do what it takes to solve a problem end-to-end, even if it requires going outside the original job description. Experience building a Data Engineering (or similar) function at start-ups. A strong disposition to thrive in ambiguity, taking initiative to create clarity and forward progress. Experience scaling own productivity and that of others by leveraging AI without sacrificing the quality of deliverables. 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: Remote - India Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next People Generalist. About the job This position is needed to support delivery of People priorities. This role supports a number of business functions and HRBPs located in the APJ region. You will be an integral part of the People Generalists team, reporting to the Global People Generalists Manager, and partnering closely with and supporting the work of international and functional HRBPs and COEs across the People team. Twilio is looking for a People Generalist who lives the Twilio Magic and has a demonstrated track record of providing advice and assistance with HR queries in a wide variety of areas including benefits & compensation, offboarding, global mobility and employee relations. Responsibilities In this role, you’ll: Partner with the HRBP team supporting our APJ region functions to support program roll-outs and on-going process execution Analyse HR data and trends across the organisation they support (e.g. headcount, attrition, performance) to generate insights, trends and prepare clear and customised reports, metrics and presentation materials for HRBPs and senior leadership to support decision-making Own and manage performance management cases end-to-end, partnering with managers to ensure fair, consistent, and timely outcomes in line with company policy Coach and guide managers through the performance management process, providing advice, documentation support, and best practice to build manager capability and ensure a positive employee experience Support HR Leaders on ad hoc projects Help to execute and where required lead business led initiatives (re-orgs, job role and level assessments, etc) Partner cross functionally with key stakeholders: Talent Management,  IT, ER, HR operations, Compliance, Recruiting, Compensation, etc. to ensure communications, program, and process alignment Program Management- annual cyclical events such as calibration, pulse surveys etc Maintain confidentiality of core HR data and projects Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! Required: 3+ years experience in an HR role in a matrixed organisation Ability to take initiative and be a self-starter You are a decisive problem solver with a "get it done" attitude who will thrive in a fast-paced, sometimes ambiguous environment Strong ability to make administrative and procedural decisions and exercise judgment with sensitive and confidential issues Strong data analysis skills and ability to share recommendations with stakeholders Data Storytelling: Connects internal data with external benchmarks to provide actionable executive insights AI-Enabled Efficiency: Enhances productivity through the sensible and strategic usage of AI tools. Demonstrates employee focus and managing proactive communication to ensure optimum HR support Leads the alignment between GTM and marketing HRBPs and COEs to ensure programs are scalable and reflect unique functional needs. Keen to continue learning and developing their skill set, having a growth mindset Strong ability to identify process gaps and improvement opportunities Desired: Proficiency with HR systems, such as Workday and ServiceNow Location This role will be remote, and based in India (only in Karnataka, Tamil Nadu, Telangana, Maharashtra, Delhi). Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Location: Hamburg Workplace: Hybrid adjoe builds the technologies behind mobile apps growth and monetization. With our core product Playtime Arcade, we've become the global leader in rewarded advertising, an ad unit built on a simple premise: users earn real in-app rewards for engaging with new apps. The result is one of the most effective value exchanges in adtech, connecting advertisers and publishers with over 770 million users annually. Investigating 770 Million User Interactions Across a 100TB Data Lake When a platform serves 770 million users, every optimization from reward mechanics to SDK integrations needs to be grounded in data. The Rewarded Analytics team builds the internal dashboards, alerting systems, and data pipelines that monitor the user funnel, traffic engagement, and reward consistency. SQL and Python power deep-dive investigations and automated 100 terabyte-sized data analyses queried through Trino. Using Tableau as the main visualization tool, stakeholders have access to real-time insights on the product performance. Airflow orchestrates the pipelines that keep everything up to date. This team provides the data that turns questions into answers: every A/B experiment the product team runs, every anomaly a publisher flags, and every new SDK integration. These answers guide all the business decisions. Your Mission & Who We Are Looking For: - Data analyst with a strong technical foundation. You have 5+ years as a Data Analyst and work fluently in both SQL and Python, writing complex queries, big data optimizations, and analysis pipelines to support product and growth initiatives. - Master of experimentation and A/B testing. You have deep experience designing experiments, calculating sample sizes, managing variance reduction techniques, and analyzing A/B/n tests to ensure statistically sound business decisions. - Statistically grounded. You can reason confidently about core statistical concepts—hypothesis testing, confidence intervals, p-values, power analysis, and Bayesian vs. Frequentist approaches—and apply them to real-world product decisions. - Not a stranger to anomaly detection. You have experience working with anomaly detection algorithms and approaches like distribution analysis and cross-population comparison to monitor test guardrail metrics and identify unexpected shifts in experiment data. - You own the systems, not just your slice. You understand the end-to-end telemetry and feature flagging systems that power experimentation. You can speak to data flows, event tracking pipelines, architecture tradeoffs, and why things were built the way they were. - Automation-minded across the stack. You think beyond one-off test analyses and build automated experiment reporting dashboards, reusable analytical frameworks, and data visibility solutions. Experience with dbt, Airflow, or experiment platforms (e.g., Optimizely, GrowthBook) is a strong plus. - Collaborative and business-aware. You work closely with product managers, engineers, and growth leads to translate complex statistical results into clear, actionable recommendations that drive executive decision-making.   🌎 We welcome applications from talent worldwide and provide relocation support to Hamburg, Germany for those ready to join our team. What’s in It for You? At adjoe, you’re not here to just close JIRA tickets, you’re helping build the infrastructure behind one of the most impactful platforms in adtech. The systems you work on will reach hundreds of millions of users and power billions of decisions every day. - Go Big. Own projects with impact on 770M users and push adtech boundaries. - Move Fast. Ship solutions multiple times a day, learn from results, and keep momentum. - Be Direct. Solve problems openly and collaborate across teams. - Thrive Together. Grow with a diverse, global team of people from over 40 different countries that learn from each other. - Have Fun. Celebrate wins, enjoy daily victories, and bring your energy. We welcome applications from people who will contribute to the diversity of our company.

Location: Hybrid - San Francisco 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 The Senior Accountant will play a key role in supporting and scaling Vercel’s accounting operations as the company continues to grow and mature, to operate at standards expected for a  public company. Reporting to the Sr. Accounting Manager, this role will own assigned operational accounting areas and be a key contributor to the monthly and quarterly close, ensuring accurate and timely financial information to support FP&A and business decision-making. This position will have hands-on responsibility for key accounting areas, including but not limited to accruals, lease accounting, capitalized commissions, and payroll accounting. This position will also have involvement in the accounting for subsidiaries related to M&A activity. The Senior Accountant will collaborate closely with internal teams and external providers to support process improvements, automation, and consistency across the accounting function in a fast-paced, high-growth environment. 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 Support the monthly and quarterly close process, ensuring accuracy, completeness and timeliness of assigned areas. Prepare financial reporting packages and presentations for senior leadership, including detailed fluctuation and trend analyses. Prepare account reconciliations and supporting schedules, proactively identifying and resolving discrepancies. Partner with FP&A to align accounting results, ensuring consistency between actuals, forecasts, and business drivers. Lead or support process improvement and automation initiatives to streamline month-end and quarter-end close activities, improve internal controls, and enhance end-to-end operational effectiveness. Build and use AI agents to automate daily activities. Support M&A activities as they arise, including onboarding new entities. Assist with audit and review processes by preparing documentation, responding to auditor inquiries, and supporting testing efforts. Support other special projects as they arise. What you need Bachelor’s degree in Accounting or Finance; CPA preferred. 3+ years of progressive accounting experience, including a mix of Big 4 public accounting and/or high-growth private company experience. Strong understanding of US GAAP - familiarity with FASB ASC standards, and comfortable doing some research independently. Solid foundations in the key accounting areas mentioned above. Hands-on, detail-oriented accountant with a strong sense of ownership and the ability to manage multiple priorities. Process-oriented and curious, with an interest in leveraging AI, automation, and systems to improve efficiency and accuracy. Experience working cross-functionally to align accounting processes with business operations and reporting needs. Strong communicator, able to collaborate effectively with cross-functional partners and explain accounting concepts clearly. Comfortable operating in a fast-paced and evolving environment. Compensation & Benefits: 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 $120,000 - $140,000. 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: Remote - US Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Senior Internal Auditor. At Twilio, we build the platform powering modern communications for millions of developers and global enterprises. Joining our Internal Audit team means stepping beyond traditional compliance to drive strategic impact, business resilience, and operational excellence across a fast-paced tech ecosystem. About the job As a Senior Internal Auditor, you will play a pivotal role in maintaining and elevating our internal control environment and drive key pillars of our global SOX compliance program. You will lead and own end-to-end business process testing—from risk assessment and control design to operating effectiveness, deficiency evaluations, and status reporting while acting as a key technical resource. In this role, you’ll serve as a critical liaison collaborating cross-functionally across global business units and partnering directly with external auditors to ensure seamless compliance. Responsibilities In this role, you’ll: End-to-End SOX Planning and Execution: Drive end-to-end SOX compliance activities—from initial scoping, materiality analysis, and risk-based audit planning to walkthrough execution and operating effectiveness testing across core SOX processes. Deficiency Assessments: Document control gaps, evaluate quantitative/qualitative impacts, partner with process owners on remediation and monitor remediation progress. Quality Standards: Apply quality control standards to all audit documentation External Audit Liaison : Serve as the primary liaison to external auditors to coordinate reliance, reduce redundant testing, and streamline the annual audit process. Cross-Functional Partnership: Partner with business teams to identify control gaps, optimize workflows, and build scalable processes aligned with industry best practices. Operational Audits: Support in the end-to-end execution of operational and compliance audits from risk identification, scoping, fieldwork execution, and reporting. Document process flows and testing workpapers with limited supervision. Audit Innovation: Drive the adoption of AI and automation tools to streamline audit workflows, boost efficiency, and deliver actionable business insight Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! Required: 4 years of recent, continuous public accounting experience within a Big 4 firm Demonstrated direct experience executing SOX testing and control evaluations in strict alignment with PCAOB standards and guidelines Direct experience preparing, reviewing, or defending public company audit files for PCAOB inspections or internal firm quality reviews Proven experience leading audit engagements, supervising associate auditors, and managing client/stakeholder relationships. Bachelor degree in Accounting, Finance, Business Administration or a related field. Deep technical knowledge of US GAAP, SOX compliance requirements, COSO framework, and PCAOB auditing standards Strong project and time management and experience in performing multiple projects and working with varying team members in a fast-paced, deadline-driven environment Ability to work independently and as a team, with limited required direction and guidance, and provide appropriate direction to other internal audit project team members Excellent verbal and written communication skills, to effectively present to peers and management Desired: CPA/CA (or pursuing) or other relevant professional certification strongly preferred. Familiarity with ERP systems (e.g., Oracle) and audit management software (e.g., AuditBoard) Experience using data analytics tools (e.g., SQL, Tableau, Alteryx, or Python) to execute continuous auditing procedures. Location This role will be remote, but is not eligible to be hired in CA, CT, NJ, NY, PA, WA. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, approximately 5% travel is anticipated to help you connect in-person in a meaningful way. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Compensation *Please note the salary range information provided applies only to candidates residing in California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State due to local requirements. Compensation for candidates in other locations will be discussed during the hiring process. Please note that hiring for this role is not restricted to the locations listed above. The estimated pay ranges for this role are as follows: Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $96,640 - $120,800. Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $102,240 - $127,800. Based in the San Francisco Bay area, California: $113,600 - $142,000. This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. Applications for this role are intended to be accepted until December 31, 2026, but may change based on business needs. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Location: Singapore 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 You will play a critical role in scaling our revenue by managing complex deals and developing standardized processes that balance speed with control. You'll work at the intersection of finance, sales, and legal teams to ensure our products reach customers to support Anthropic's rapid growth while maintaining the financial discipline and risk management practices essential for a frontier AI company. You'll have the opportunity to build scalable processes from the ground up and directly impact some of our most strategic customer relationships. Key responsibilities Financial Analysis: Conduct growth and margin analysis, discount impact assessment, and deal profitability modeling to support data-driven decision making Deal Structure Optimization: Collaborate with sales teams to structure deals that meet customer needs while protecting Anthropic's financial and strategic interests Deal Review and Approval Management: Review and analyze enterprise deals exceeding standard parameters, focusing on pricing structures, contract terms, and financial implications Cross-Functional Coordination: Serve as the primary liaison between sales, finance, legal, and compliance teams throughout the deal lifecycle, ensuring smooth coordination and timely approvals Risk Assessment: Evaluate potential risks in non-standard deal terms and escalate appropriately to senior stakeholders Policy Implementation: Help develop and maintain deal approval policies, pricing guidelines, and exception handling procedures aligned with company objectives Process Development: Create and refine approval workflows, escalation procedures, and standardized templates that enable efficient processing of complex deals while maintaining appropriate controls Documentation and Reporting: Maintain comprehensive deal documentation and provide regular reporting on deal strategy metrics, trends, and performance Minimum qualifications Experience in deal strategy, deal desk, finance, sales strategy and operations, or related analytical roles, preferably in a high-growth technology environment Possess hands-on experience building sophisticated financial models, conducting pricing optimization, and structuring complex deals Have excellent communication and stakeholder management abilities, with proven success coordinating across multiple departments Are detail-oriented with strong process improvement instincts and the ability to design scalable workflows Have experience with CRM systems, CPQ tools, and contract management platforms Can work effectively in fast-paced, ambiguous environments while maintaining accuracy and attention to detail Have a collaborative mindset and enjoy solving complex problems through cross-functional partnership Preferred qualifications Have 5+ years of relevant experience Experience at a SaaS, cloud, or AI/ML company with complex enterprise sales cycles Background in consulting, investment banking, or other roles requiring deep analytical and strategic thinking Experience with deal desk operations at companies with subscription and consumption-based business models Knowledge of enterprise software contract terms and industry-standard commercial practices Understanding of AI business models and the unique commercial considerations 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.