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Location: Salt Lake City, UT Workplace: hybrid At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.   With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.    At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.   Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.     **Travel to Office expectations** For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.   For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role. Intermediate Software Engineer Who you'll work with We're looking for motivated, self-starting engineers who want to grow their skills by solving complex, challenging problems across the healthcare continuum. You'll join a team that values curiosity, ownership, and trying new approaches. You'll report to a Software Engineering Manager and work closely with Product, QA, and DevOps. What you'll do Design, build, test, and support back-end services and web front ends Take on hard problems and own them end to end, from requirements to production Debug and resolve issues across distributed systems Build with reliability, scalability, and security in mind Automate repetitive work through tooling and scripting Review teammates' code and have them review yours Join sprint ceremonies and the team's on-call rotation Use AI coding assistants as part of your daily work What we're looking for 3+ years of professional software development Strong Java, including Spring Experience building REST APIs Solid SQL and relational database experience Experience writing automated tests Some front-end experience Comfort with Git-based workflows and code review A drive to learn and the initiative to move work forward without being asked Nice to have Authentication and identity standards (OAuth, OpenID Connect, SAML) Containers and container orchestration CI/CD pipelines and build automation, on any toolchain Cloud platforms, especially Azure Infrastructure as code Observability: logging, metrics, and dashboards Scripting for automation Linux and networking fundamentals Experience on a SaaS product Production support or on-call experience What success looks like You deliver working, tested code that solves real problems You pick up unfamiliar areas of the system and go deep on your own You take on bigger, more ambiguous problems over time You build trusted working relationships with peers and partners You're comfortable with the discomfort of learning new things, and you bring fresh ideas Don't meet every bullet? Apply anyway. PointClickCare Benefits & Perks:   Benefits starting from Day 1! Retirement Plan Matching Flexible Paid Time Off Wellness Support Programs and Resources Parental & Caregiver Leaves Fertility & Adoption Support Continuous Development Support Program Employee Assistance Program Allyship and Inclusion Communities Employee Recognition … and more!   It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment.   When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it.  If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com    PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information. At PointClickCare, base salary is one of the many components that make up our total rewards package. The CAD base salary range for this position is $123,000-137,000+ bonus + equity + benefits. Our salary ranges are determined by job and level. The range displayed on each job posting reflects the target for new hire salaries for the position across all CAD locations. Within the range, individual compensation is determined by job-related skills and knowledge, relevant experience including professional and lived experience, and/or work location. Your recruiter can share more information about our total rewards package during the hiring process.

Location: Mississauga, Ontario Workplace: hybrid At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.   With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.    At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.   Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.     **Travel to Office expectations** For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.   For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role. Position Summary:   Reporting to the Accounts Receivable Escalation Manager, the Accounts Receivable Escalations Analyst is responsible for the preparation of demand letters, termination letters and final collection notices, compilation of invoice copies, statements, quotes and contracts to support the drafting of letters and providing the documents as a backup to customers. The Accounts Receivable Analyst is responsible for supporting contacting overdue accounts within a portfolio of high-volume low dollar strategic customers to collect outstanding balances in a timely manner. The successful candidate will have experience with building relationships with internal partners and account reconciliations. They will have strong communication skills and understand how to work effectively cross functionally with a broad group of stake holders.     To be successful, the candidate must have the ability to build relationships and be a proactive team player.  A “Roll-Up-Your-Sleeves” and “Get it Done” attitude is a must.  The candidate must have strong attention to detail and have previously demonstrated the ability to excel in a fast paced, high-volume, complex environment. Prior experience in finance is required, with preference given to candidates with accounts receivable experience. Key Responsibilities: Preparation of demand letters, termination letters and final collection notices for Senior Care accounts, QuickMar, Pharmacy and other streams of business as needed. Investigation and analysis of various customer scenarios. For escalated customers, update and maintain accurate customer files with all applicable correspondence and report to AR Escalations Manager on status as required. Support the AR Escalations Manager with assisting in developing payment plans and solutions to collect outstanding balances and assist in managing required communications externally and internally associated to these accounts. Supporting collection’s activities relating to mixed portfolio of low dollar customer accounts, including communication with customers regarding collections issues, actions, payment inquires and invoicing. Update and maintain accurate customer files with all applicable correspondence and report to Management on status as required. Communication with customers within assigned portfolio regarding collections issues, actions, payment inquires and invoicing Recognize billing issues through research and regular reconciliation. Preparation of monthly account breakdowns and analysis, as required by the Manager and customers. Compilation and provision of invoice copies, credits and unapplied payment details, as required. Preparation and reconciliation of accounts, unapplied credit balances, credit notes as assigned. Coordination of monthly pre-authorized payments with customers and the Payments team for assigned portfolio. Participate in conference calls with customers and internal partners supporting recovery of past due invoices for small dollar accounts on AR Digital team and AR Escalations as needed. Onboarding support of new team members including coordination of any co-op assignments within the team with coordination of the AR Escalation Manager. Any ad hoc tasks assigned by management as required to support the overall team objectives and success of the AR Escalations and AR Digital Teams. Required Experience: Bachelor's degree in accounting or 3+ year's experience processing accounts receivable. Must possess a high level of moral judgment for handling confidential information and monetary transactions. Strong diplomatic, negotiation and conflict resolution skills in order to handle late payment discussions. Effective attention to detail and high degree of accuracy managing reconciliations. Strong communication skills (both verbally and in writing) are essential, including the ability to confidently discuss disputes and deductions with internal teams and external stakeholders. Must be a team player and have the ability to effectively work within a strong cross functional environment. Demonstrated experience championing change in a fast-paced environment. Experience coaching within a diverse team and in a business to business environment. Sound analytical thinking, planning, prioritizing and execution skills. Excellent computer skills with a strong working knowledge in Microsoft Word and Excel. Working understanding with the US Health Care system - would be a benefit. #LI-TW1 #LI-Hybrid PointClickCare Benefits & Perks:   Benefits starting from Day 1! Retirement Plan Matching Flexible Paid Time Off Wellness Support Programs and Resources Parental & Caregiver Leaves Fertility & Adoption Support Continuous Development Support Program Employee Assistance Program Allyship and Inclusion Communities Employee Recognition … and more!   It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment.   When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it.  If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com    PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information. At PointClickCare, base salary is one of the many components that make up our total rewards package. The Canada base salary range for this position is $56,000 - $64,000 + bonus + benefits, overtime eligible. Our salary ranges are determined by job and level. The range displayed on each job posting reflects the target for new hire salaries for the position across all Canada locations. Within the range, individual compensation is determined by job-related skills and knowledge, relevant experience including professional and lived experience, and/or work location. Your recruiter can share more information about our total rewards package during the hiring process.   Corp - B Professional 1

Location: Mexico Workplace: remote About Welo Data Welo Data, a Welo Global brand, is the multilingual data and evaluation partner for foundation labs and enterprises deploying GenAI systems globally. They deliver the human judgment, data infrastructure, and evaluation systems that ensure AI models perform reliably across languages, cultures, and real-world contexts, at every stage from training through deployment.  Its global network of 500,000+ vetted experts spans 300+ languages and locales, enabling high-quality multilingual data creation and structured model evaluation across the full spectrum of modern AI applications — from large language models and voice and speech systems to agentic workflows and robotics and embodied AI. This breadth of linguistic, cultural, and domain expertise enables Welo Data to address critical AI development challenges, including safety, bias, inclusivity, and cross-lingual reliability. A unified global operating model, led by specialized program and quality experts and grounded in assessment-driven talent selection, localized rubrics, and continuous calibration, ensures consistent performance across languages, domains, and modalities. Underpinning all of this is NIMO™ (Network Identity Management and Operations), Welo Data's proprietary identity and fraud-prevention framework. Built to maintain data integrity and workforce trust across a global contributor base, NIMO combines advanced verification, continuous monitoring, and structured QA to ensure every dataset is accurate, traceable, and culturally grounded. welodata.ai    About the Team  Welo Data's Trust & Safety function protects the integrity of a global, distributed workforce that powers AI data and annotation work. We run a multi-layered fraud detection stack combining identity verification checks, in-house behavioral signals, and platform activity data, and are actively building out a Trust & Safety Committee spanning four core workstreams: identity verification, location verification, account integrity, and multi-accounting detection. This is a hands-on investigative role, not a policy-only seat — you'll be working live cases from day one.  About the Role  We're looking for a Trust & Safety Specialist, based in Mexico, to join our investigations team, working active fraud cases and supporting the broader fraud strategy program. You'll come in with real T&S, fraud/risk, or identity-verification experience from another platform, marketplace, gaming company, fintech, IDV vendor, or crowdsourced-workforce environment, and be ready to run investigations, process removals, and spot fraud patterns from week one. What You Will Do Run investigations end-to-end: triage flagged accounts, review evidence (identity signals, behavioral flags, platform activity data), reach a disposition, and process removals in line with policy and SLA. Own IDV review: verify identity and location signals for flagged or high-risk accounts, distinguishing genuine edge cases from fraud. Conduct manual audits and reviews: prioritizing cases by risk and signal strength rather than intake order. Detect multi-accounting and account integrity abuse: recognize patterns across linked accounts, device/location overlap, and behavioral signals. Apply a hypothesis-driven investigation method: form a hypothesis, test it against the evidence, and reach a disposition that can be replicated and audited. Contribute to detection improvement: escalate emerging fraud vectors, false-positive/false-negative patterns, and rule gaps to the fraud strategy team. Handle sensitive data responsibly: apply GDPR-aligned data handling and deletion practices in every case. Collaborate cross-functionally: partner with Research Labs, Quality Strategy Architecture (QSA), and Forward Deployment Engineering on tooling gaps and process fixes surfaced by your casework What You Bring (Must Have-s) 5+ years in a T&S, fraud/risk, or identity-verification investigations role — from a platform/marketplace T&S team, a fintech/payments risk team, an identity-verification vendor, or a crowdsourced/gig-workforce trust function. Direct experience with identity/fraud signals — device fingerprinting, IP/geolocation checks, document verification, or behavioral fraud scoring. Multi-accounting / account integrity pattern recognition — you've dealt with linked-account abuse, farming, or account sharing before, not just single-account review. Case documentation discipline — you write clean, evidence-backed case notes that would survive an audit or an appeal. Comfort with ambiguity and volume — you can prioritize a queue by risk, not just clear it by count. Working knowledge of data privacy obligations (GDPR or equivalent) as they apply to case handling and data retention/deletion. Nice to Have Experience specifically in AI/ML data annotation, RLHF, or research operations workforce platforms. Exposure to rule-based fraud detection engines and an opinion on rule sprawl vs. signal quality. Familiarity with clustering/anomaly-detection approaches to fraud (even at a conceptual level). Case management system experience (any ticketing or knowledge-base tooling). Recommended Education Bachelor's degree in Criminology, Law, Criminal Justice, Cybersecurity, Information Security, Data/Computer Science, or a related field. Equivalent practical experience in T&S, fraud investigations, or identity verification will be considered in place of a degree. Relevant certifications are a plus: CFE (Certified Fraud Examiner), CAMS (Certified Anti-Money Laundering Specialist), or IDV/identity risk vendor certifications.

Location: London, UK; Remote-Friendly, United States; San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. Program Overview Many of the questions that will shape our future have no single checkable answer. Reasoning well about them, whether in law, policy, philosophy, economics, cognitive science, or AI safety itself, takes the kind of judgment experts spend years building. We believe frontier AI, developed safely, can become a real partner on these questions, but getting there means working closely with the people who know these fields best. This fellowship brings researchers and experts from philosophy, cognitive science, economics, policy, and law into Anthropic for four months to work alongside our research teams. Fellows pair deep domain expertise with our frontier models and internal tooling to evaluate, improve, and apply Claude's capabilities in their field. What to Expect: A concrete, scoped project matched to your background, with mentorship from Anthropic researchers. Access to frontier Claude models and internal evaluation tooling. A cohort of incoming Fellows to collaborate with and a connection to Anthropic's broader research community. Compensation: $100,000–$167,000 USD for the four-month fellowship (equivalent to $300,000–$500,000 USD annualized), and other benefits. Key responsibilities Identifying key open problems in your field, assessing approaches to solving them, and using Claude to make progress on them. Identifying grand societal challenges which the expertise of your field is crucial for addressing, and assessing Claude’s strengths and weaknesses in tackling them. Designing evaluations and RL environments that test models in your field systematically, turning your expertise into working tests of how well Claude reasons in your field. Team up with other Fellows in your field to build environments that push Claude on the hardest, most judgment-heavy problems your discipline has to offer. Minimum qualifications Are excited about the potential for AI to reason well about hard questions in their field where expert judgment matters. Hands-on experience using Claude and Claude Code in your day-to-day workflow. Hold (or are completing) a PhD in philosophy, cognitive science, economics, policy or law, or have equivalent research experience. Are comfortable working in a fast-paced, high-agency atmosphere for a few months and delivering concrete results. Existing authorization to work in the United States for the duration of the program. Preferred qualifications Experience designing evaluations, benchmarks, datasets, or expert rubrics. Demonstrated expertise in your field, shown through research, scholarship, or expert-level analytical writing. Representative projects A philosopher building hard cases that require normative judgment in ethics or formal epistemology. A cognitive scientist designing experimental-design and model-comparison tasks. An economist writing modelling and identification problems with ground truth. A policy scholar drafting regulatory and cost-benefit analysis tasks with expert rubrics. A legal scholar building AI-policy-relevant law datasets. Logistics - Fellows The program runs from January 12th to May 8th 2027 , and is full-time for the duration; some fellowships may be considered for an extension. Applications are open until October 28, 2026 , and we plan to make offers by November 20th. Later stages will typically include a take-home exercise and conversations with our research team and potential mentors about your research interests and possible project directions. We ask that all Fellows attend a one-week in-person orientation in San Francisco. The default location is in San Francisco. We will consider remote engagements within the United States and fellows working in the United Kingdom in certain circumstances. We are not currently able to sponsor visas for fellows. To participate in the Fellows program in the United States, you need to have or independently obtain full-time work authorization in the United States. This is a fixed-term contract position. Fellows are engaged through an employer of record, rather than employed directly by Anthropic. The below are Anthropic's policies for full time roles. These do NOT apply to the Fellows Program. 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: United Kingdom Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ ABOUT THE ROLE Docker’s Professional Services team partners with customers to turn AI and cloud-native deployments into working production outcomes. We are looking for a technically fluent Delivery Program Manager to operate delivery engagements. You will be embedded as an overlay alongside technical sales, solution architects, forward deployed engineers, and delivery partners, translating customers’ technical and business requirements into scoped service engagements and managing them through delivery.   You will be both builder and operator: designing repeatable service offerings where none exist today, and equally willing to roll up your sleeves to scope a detailed Statement of Work or unblock a stuck engagement. If you thrive in ambiguity, love building order from chaos, and operate with high autonomy and low ego, this role is for you.   WHAT YOU'LL OWN DELIVERY OPERATIONS - Operationalize the end-to-end engagement lifecycle, from scoping and kickoff through delivery, handoff, and retrospectives. - Directly manage customer engagements: plan, run governance cadences, track milestones, manage risks and dependencies, and escalations. - Review technical assumptions in scopes and SOWs with solution architects (environments, integrations, identity, network and security constraints, customer prerequisites) so estimates and timelines hold up in delivery. - Own customer readiness and handoff: environment prerequisites, acceptance criteria, and clean transition to Support and Technical Account Managers.   OFFERINGS AND REUSABLE ASSETS - Partner with solution architects to create reusable delivery assets: playbooks, runbooks, statement of work templates, reference architectures, and onboarding workshops/guides. - Turn repeatable customer patterns into packaged, fixed-scope offerings with defined outcomes, durations and pricing inputs. - Build and maintain the sales-cycle engagement model and intake process for when and how Services are engaged across sales stages.   GOVERNANCE, TOOLING, AND METRICS - Build the program management and governance infrastructure: intake frameworks, capacity planning models, risk registers, delivery dashboards, and milestone tracking. - Define and report delivery KPIs: on-time delivery, utilization, engagement margin, customer satisfaction. - Own SOW amendment and change-order processes: define when and how scope changes are documented, approved, and reflected in project tracking. - Partner with Legal on SOW frameworks and language.   WHAT WE'RE LOOKING FOR REQUIRED QUALIFICATIONS - 8+ years of experience in technical program management, professional services, forward deployed engineering services or equivalent cross-functional roles. - Experience at a B2B SaaS, developer tooling, or infrastructure software company delivering implementation, migration, or adoption engagements to enterprise customers. - Demonstrated experience building programs, processes, or practices from scratch not just optimizing existing ones. - Strong technical fluency: comfortable participating in systems architecture discussions, understanding system dependencies. - Strong structured problem solving, facilitation, and systems thinking, including participation in - Experience with Professional Services tooling and business systems (e.g., Salesforce, NetSuite, PSA tools) - Exceptional written and verbal communicator able to produce executive-grade program readouts and customer-facing documentation alike. - High degree of personal accountability; comfortable owning ambiguous problems with limited oversight and providing value-added improvements.   Preferred Qualifications - Professional services, consulting, or delivery experience at an infrastructure software vendor or systems integrator. - Experience self-serving data and analytics (Looker, Tableau, or similar) to build performance reporting. - Prior experience scaling a Professional Services or delivery organization or a support services operation through a growth or transformation phase. - Experience building engagements with third-party partners and system integrators within professional services delivery models.   WHY THIS ROLE Building a PS function from the ground up is rare. This is an opportunity to shape how Docker serves its most strategic customers, define what great looks like for technical delivery, and leave a lasting operational footprint on a high-growth organization. You will have broad scope, executive access, and the room to build something that matters.   What to Expect in the First 30 Days - Shadow: join scoping calls and review active projects. - Audit the existing SOW process and template library to identify gaps in standardization, approval routing, and tracking. - Meet your key partners: Sales Engineers, Solution Architects, Forward Deployed Engineers, Technical Account Managers, Finance and Legal.   What to Expect in the First 60 Days - Manage first customer engagement directly, with support from the existing team. - Identify the highest-priority SOW template gaps for standardization. - Document the current delivery framework as it exists today capturing what's working, and what needs to change.   What to Expect in the First 60 Days - Autonomously managing customer engagements. - Support leadership with quarterly review cycles on active engagements and retrospectives. - Translate process gaps into actionable workstreams with clear owners, timelines, and accountability.   Docker does not offer visa sponsorship for this role.   ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: 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 Developer Infrastructure team builds the systems Sentry engineers use to develop, test, and ship software. We own local and cloud development environments, CI/CD across our open-source and private codebases, tooling for creating new services, and SDK and library publishing. Our goal is to help engineers spend more time building for customers and less time troubleshooting their development tools. You’ll work on problems such as shortening CI feedback cycles, improving deployment reliability, detecting flaky tests, and making development environments easier to use and maintain. As AI coding agents become part of engineering workflows, you’ll also help our environments, CI, and deployment systems support them with the context and access they need. You’ll own projects from design through rollout and ongoing operation, working directly with engineers across Sentry to understand their needs and measure whether your changes improve their work. This role is based in San Francisco, with three days per week in the office to work closely with Platform and Product Engineering teams. WHAT YOU’LL DO - Build and maintain tooling for local and cloud development environments. - Improve the speed and reliability of CI and deployment pipelines as our codebases and infrastructure grow. - Develop supported, reusable workflows for creating services and libraries. - Improve SDK and library publishing tools and release processes. - Build metrics, dashboards, and flaky test detection to help teams identify and resolve development and deployment problems. - Give engineers and AI coding agents the context they need to work within Sentry’s systems and conventions. - Partner with engineering teams to prioritize improvements, support adoption, and evaluate results. HOW YOU WORK - You enjoy building tools and infrastructure other engineers rely on. - You consider reliability, performance, cost, and maintenance when making technical decisions. - You take ownership from understanding a problem through implementation, rollout, and operation. - You listen to engineers’ feedback and use evidence to guide improvements. - You help teams adopt shared tools and standards through clear reasoning and collaboration. QUALIFICATIONS - 5+ years of software engineering experience or equivalent experience building developer tools and infrastructure. - A track record of building or significantly improving developer tooling or infrastructure used by engineering teams. - Strong proficiency in Python. - Experience improving CI/CD systems, including diagnosing performance or reliability problems. - Experience leading complex technical projects through design, implementation, and rollout. - Experience using Docker and container orchestration in production. - Experience working with cloud infrastructure such as GCP or AWS. - Familiarity with Kubernetes and infrastructure as code tools. - Experience working across engineering teams to build agreement on tools, standards, or workflow changes. - Clear written and verbal communication, including explaining technical tradeoffs and documenting how systems work. You don’t need to meet every qualification to apply. If your experience aligns with the core work, we’d like to hear from you. The base salary range (or hourly wage range, if applicable) that Sentry reasonably expects to pay for this position is $190,000 to $400,000 USD. A successful candidate’s actual base salary (or hourly wage) 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, CA; New York, NY Workplace: OnSite ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE ROLE: We’re hiring a Sales Development Manager (New York City or San Francisco) to lead and scale our founding SDR team at LangChain. Our SDRs play a critical role in helping companies adopt LangChain and LangSmith. They engage technical buyers, convert high inbound interest into qualified opportunities, and work closely with our sales and marketing teams to build pipeline. This role will own the performance, coaching, and development of the SDR team, while helping design the systems, processes, and workflows that power their GTM motion. You’ll partner closely with sales, marketing, and and RevOps to continuously improve how we identify and engage the right accounts. WHAT YOU'LL DO: - Lead and coach a team of SDRs responsible for generating qualified pipeline - Own SDR performance including activity metrics, conversion rates, pipeline creation, and attainment - Recruit top SDR talent and grow the team as LangChain continues to scale - Develop SDR talent through coaching, call reviews, and structured feedback - Build repeatable outbound and inbound qualification playbooks - Partner with marketing to convert inbound demand into qualified opportunities - Work with sales leadership and RevOps to align on target accounts, territories, and pipeline goals - Implement systems and workflows that improve SDR productivity and effectiveness - Use data to continuously improve performance, analyzing conversion rates across the funnel HOW TO BE SUCCESSFUL IN THIS ROLE: - Have 5+ years of experience in sales development - Have 1–3+ years managing SDRs or leading a sales development team - Are comfortable working with technical products and developer audiences - Have experience with modern GTM tooling (AI Agents, LinkedIn Sales Nav, Power Dialers, etc.) - Are highly data-driven and comfortable managing performance through metrics - Are passionate about coaching and developing early-career sales talent - Thrive in fast-moving environments where processes are still evolving - Have strong communication and organizational skills Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers its members to improve their health and perform at a higher level by providing a deep understanding of their bodies and daily lives. The Health team develops the algorithms and features that expand WHOOP's health sensing capabilities. The work spans women's health, wellness and longevity, member insights, emerging health signals, and software as a medical device. Applied ML Scientists and ML Engineers work as a production unit: scientists own problem framing and modeling; engineers own the path to production. As a Senior Manager, Machine Learning on the Health Insights team, you will own delivery and people outcomes across a mixed team of scientists and engineers. You will translate department strategy into clear quarterly plans, develop senior ICs (and, as the team grows, the next layer of managers), hire against a high bar for both crafts, and partner with Product and adjacent Health partners on what is worth building and what the data can support. You will stay close enough to the ML lifecycle to evaluate the team's most important decisions without becoming the default contributor. Success in this role requires enough ML and health-domain fluency to earn trust from senior ICs, plus the people-leadership skill to grow that team, hold delivery across multiple workstreams, and make prioritization calls under uncertainty. RESPONSIBILITIES: - Own delivery, team health, and people outcomes across Health ML workstreams on a mixed Applied ML Scientist and ML Engineer team. - Translate department strategy into quarterly plans, milestones, and success criteria; keep the team on the highest-leverage work and adapt deliberately as priorities shift. - Build the team: lead hiring across science and engineering roles, calibrate the bar for each craft, and shape onboarding, leveling, and growth practices. - Develop the next layer of leadership: coach senior ICs (and managers, as the scope grows), manage performance with clarity and care, and create the conditions for people to operate above their level. - Set the standard for how Health ML gets built: work quality, evaluation rigor, review practices, and an operating model that holds as people and workstreams change. - Partner directly with Product (and with clinical, software, and Digital Health partners as the work requires) to align on roadmap, evidence, and sequencing; broker trade-offs between iteration speed, scientific integrity, and member value. - Own the risk posture for the team: anticipate execution, technical, and people risks, design mitigation into how the team operates, and keep senior leadership clearly informed of the most consequential decisions. - Define and own the operating model: planning cadences, design reviews, decision forums, and quality gates appropriate to member-facing health ML. - Build and continuously raise AI-enabled workflows that create measurable leverage across the team, for development, evaluation, documentation, and stakeholder communication. - Represent the team's work credibly to executive and cross-functional audiences with brevity, evidence, and clarity. QUALIFICATIONS: - 7+ years of experience in machine learning, applied science, or software engineering, with 3+ years managing engineering and/or science teams. - Bachelor's degree in Computer Science, Engineering, Applied Math, Biomedical Engineering, or a related field; advanced degree preferred. - Demonstrated track record managing highly senior ICs: hiring, performance management, and developing people who in turn raise the bar around them. - Deep familiarity with the ML development lifecycle (data collection, model training, evaluation, validation, deployment, and monitoring), sufficient to evaluate the most important technical and methodological decisions the team makes. - Experience shipping algorithms or ML-enabled product in health, wearables, digital health, or a closely related applied domain. - Demonstrated ability to set direction and make timely prioritization calls under uncertainty, keeping team focused on the highest-leverage work. - Demonstrated AI-tooling sophistication: a track record of building or adopting AI-enabled workflows that materially improved team speed, quality, or decision confidence. - Clear, high-signal communicator who can move fluidly between technical ML discussions and executive-level summaries of risk, trade-offs, and direction. - Depth in a Health domain WHOOP already works in preferred (member insights, women's health, cardiometabolic or respiratory health, sleep, strength / healthspan, neuroscience, or related physiological time-series work). - Preferred experience as a counterpart to Product on ambiguous health or member-insight problems: scoping, sequencing, and pushing back when a claim is not supportable. - Familiarity with clinical validation, evidence packages, or Digital Health partnership on higher-stakes health features preferred.   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. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.   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 $170,000 - $230,000. 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.   Learn more about WHOOP https://www.whoop.com/us/en/careers/?srsltid=AfmBOopKmph9d0DLBlogZu8mx6do0dzjNS8eJlfc4PQqQtdU6F8DGKBg.

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.

Sierra is looking for a Strategist in Agent Development for Travel Transportation and Hospitality. Задачи: — Разрабатывать и запускать AI агентов — Консультировать корпоративных клиентов Требования: — Опыт работы с AI, системной архитектурой, API, prompt engineering, data model, RAG, conversation design, evaluation Условия: — Работа в офисе в Сан-Франциско — Зарплата от $200,000 до $290,000 в год

Location: Remote, Canada; Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role You'll own and improve the operational toolkit that equips GitLab's Solutions Architects (SAs) to drive growth and deliver value for customers. As the SA team's go-to operational business partner, you'll make tools, workflows, reporting, and handoffs more effective and grounded in the SA's role throughout the customer journey. You'll report to the Director of Customer Experience (CX) Operations. This is a senior individual contributor role with no direct reports. What you’ll do Own the SA operational toolkit and business requirements for systems, workflows, processes, reporting, and documentation. Partner with Revenue Technology, Revenue Analytics, and system owners on implementation, validation, data quality, and operational controls. Manage operational support requests for tooling, access, assignments, and data issues, including triage, routing, resolution visibility, and root-cause improvements. Improve the processes and system workflows for requesting, assigning, and tracking SA engagements. Implement intake requirements and routing rules agreed with SA leadership, and automate manual steps. Document and operationalize the SA engagement model and cadences agreed with SA leadership and cross-functional teams, including responsibilities, rules of engagement, handoff criteria, and required customer information at key journey stages. Own SA reporting requirements and data quality standards. Partner with Revenue Analytics to provide reliable visibility into capacity, engagement, technical evaluation progress, and outcomes so SA leaders can assess effectiveness and prioritize resources. Support SA leaders with coverage and capacity planning, business reviews, and operating rhythms that help teams prioritize customer needs and resources. Turn field feedback into operational improvements. Lead testing, rollout, and documentation, partner on enablement, and follow through until changes are adopted and sustained. What you’ll bring Relevant experience in Solutions Architect, Sales, Revenue, or Customer Experience Operations. Understanding of technical sales, pre-sales, and post-sales, SA engagement models, technical evaluations, and how SAs demonstrate customer value, support growth, and coordinate with post-sales teams. Hands-on experience with Salesforce or comparable customer relationship management (CRM) tools, reporting, data quality, and workflow improvement; ability to translate field needs into clear system requirements. Structured problem-solving skills: turn ambiguous issues into clear workstreams, own delivery, and sustain measurable improvements in efficiency and adoption. Strong quantitative skills and proficiency in Excel or Google Sheets for capacity, coverage, productivity, and scenario modeling. Strong hands-on experience with artificial intelligence (AI)-native tools to support custom reports and data modeling scenarios. Sound judgment, project management, and communication skills; ability to work independently, build trust, and influence across a global, distributed organization. Preferred, not required: experience supporting a technical field organization in business-to-business software; Structured Query Language (SQL) or equivalent data-querying experience; and experience with GitLab or development, security, and operations (DevSecOps) and AI-enabled automation. About the team Our Solutions Architect team coordinates with post-sales teams throughout the customer journey. We align responsibilities, rules of engagement, and handoff criteria with SA leadership and cross-functional partners. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $115,200 — $194,400 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP believes in the power of humans to transform how they feel, perform and age; we serve the aspiring. WHOOP is hiring a Senior Business Operations Program Manager to join the Business Operations team within our broader Operations organization. This role sits at the intersection of operational strategy and program management, leading high-priority cross functional workstreams initiatives from planning through to execution. You will partner closely with stakeholders across Supply Chain, Manufacturing, Hardware, Quality, Membership Services, and Business Systems to solve operational challenges and deliver measurable business impact. This role is ideal for someone who thrives in fast-paced environments, brings structure to ambiguity, and is motivated by delivering high-quality execution. Example initiatives include: Developing operational strategies for new product launches, enabling international market expansion, evaluating new business models and their operational implications, and building scalable processes to support organizational growth RESPONSIBILITIES - Lead strategic operational initiatives from problem definition through execution, developing recommendations, aligning stakeholders, and driving measurable outcomes. - Partner with stakeholders across Supply Chain, Manufacturing, Hardware, Quality, Membership Services, and Business Systems to coordinate initiative execution and improve operational performance. - Build and maintain project plans, operating cadences, status reporting, and documentation that enable teams to execute effectively. - Structure ambiguous business problems, analyze data, and evaluate strategic trade-offs to develop actionable recommendations and scalable operational solutions - Identify execution risks early, develop mitigation plans, and independently drive issues to resolution with minimal guidance. QUALIFICATIONS - 5+ years of experience in business operations, strategic program management, management consulting, or operational strategy, ideally within a high-growth technology or consumer electronics company. - Experience supporting manufacturing or consumer electronics operations is preferred. - Proficient in Excel/Google Sheets, Google Slides, Slack, Smartsheets, and other similar project management tools. - Proven ability to independently own and deliver complex projects or workstreams from planning through execution with strong attention to detail. - Demonstrated success managing multiple cross- functional priorities simultaneously while maintaining high-quality execution in a fast-paced environment. - Demonstrated ability to independently structure ambiguous problems, develop data-driven recommendations, and translate strategic decisions into actionable cross-functional plans. - Excellent organizational and project management skills, with a proactive approach to identifying risks, communicating progress, and driving accountability. - Effective communicator who collaborates well across functions and builds trusted working relationships through reliability, ownership, and follow-through. - High degree of ownership, adaptability, and urgency—ready to roll up your sleeves and make things happen - 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 $115,000 - $150,000 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: Remote: United States; San Francisco HQ; Remote: Canada Workplace: Remote At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. APPLYING TO RENDER We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time. About the Role As the Engineering Manager for Governance & Access, you will lead the team responsible for building the security, governance, and access capabilities that let Render's customers manage teams, permissions, and environments with confidence as they scale. You'll design these capabilities for a world where agents, not just humans, operate on Render, turning emerging agentic use cases into simple, reusable platform primitives across identity, authorization, credentials, and delegation. The problems span traditional IAM and emerging agent infrastructure, which is what distinguishes this role from a typical security or IAM job. You'll shape the team's structure as much as its roadmap. You'll also join at a formative moment: the team is small, the architectural foundations are still being defined, and the systems you build will become primitives used across millions of users. What You’ll Do - Lead and grow the Governance & Access team - Own the roadmap for governance, identity and access management, roles and permissions, and related compliance and security capabilities - Define how these capabilities extend to agents operating on Render, not only human users - Partner with the dedicated product and design partners already on the team to align roadmap with customer and platform needs - Build a strong hiring and interview process as the team scales, calibrating closely with recruiting and cross-functional partners - Make key technical and architectural decisions for access, identity, and governance systems - Coach and develop engineers, through performance management and career growth - Coordinate with the adjacent Security team and the rest of the Growth and Expansion org as the platform evolves - Balance security, usability, and speed, making pragmatic decisions about where strong guarantees are required and where the team can iterate What We’re Looking For - Strong people leadership - the top priority for this role - Comfort operating in ambiguity, with the flexibility to adapt and grow as the team's scope evolves - Experience building and scaling a team from an early stage - A track record of managing and developing engineers, including hiring and performance management - Ability to partner closely with product and design without needing to fill those functions yourself - Background from either a startup or a larger company is fine. What matters is experience and ability to operate in a fast-paced environment Nice-to-Haves - Experience in security, governance, or access management (IAM, RBAC, compliance) - Exposure to building for AI agents or agentic systems - Experience managing senior (IC5-level) engineers - Background in developer platforms or B2B SaaS products This is an opportunity to help define what secure access looks like when software increasingly acts on behalf of people. If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. BENEFITS - 4 weeks of paid vacation. - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return. - Long-term disability, life insurance, and 401K plans. - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well. - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc. - Monthly cell phone and internet subsidy. - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. - Continuous learning benefits & related support. This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization. Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. We encourage all who are interested to apply. We can't wait to hear from you! Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view

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.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. Our wearable technology collects rich physiological data, providing members with actionable insights into their recovery, training, and sleep. We are seeking a Senior Applied ML Algorithm Engineer to develop and deploy signal processing algorithms and machine learning models that transform raw sensor data into accurate, reliable, and real-time physiological insights on WHOOP devices. In this hands-on role, you will own algorithm development from data analysis, model training, and Python prototyping through efficient C/C++ implementation, firmware integration, and production validation. Working closely with Data Science, Firmware, Hardware, and domain experts, you will deliver robust on-device algorithms that improve the member experience while meeting the power, memory, compute, and latency constraints of wearable hardware. RESPONSIBILITIES: - Design and develop algorithms that combine signal processing, feature extraction, and machine learning to derive meaningful physiological insights from wearable sensor data. - Analyze large-scale, noisy sensor datasets to train and evaluate models, identify performance gaps, and improve accuracy, robustness, and generalization across diverse members and real-world conditions. - Translate algorithm prototypes and trained models into production-ready C/C++ implementations, optimizing signal processing pipelines and on-device inference for accuracy, power, memory, compute, and latency. - Partner closely with Firmware and Hardware teams to integrate algorithms into production firmware, validate execution on target hardware, and resolve differences between prototype and embedded performance. - Define performance metrics and rigorous validation plans, combining offline evaluation, lab-based experiments, real-world data analysis, and on-device testing to assess algorithm accuracy, reliability, and efficiency. - Collaborate with Data Science, Software, Product, and domain experts to translate research findings into production-ready capabilities, investigate post-deployment performance gaps, and drive continuous algorithm improvement. QUALIFICATIONS: - 5+ years of experience developing signal processing and machine learning algorithms for time-series or sensor data in real-world applications. - MS or PhD in Electrical Engineering, Biomedical Engineering, Computer Science, or a related quantitative field, or equivalent practical experience. - Strong foundation in digital and statistical signal processing for noisy time-series data. Experience with physiological signals or wearable sensors is a plus. - Proficiency in Python for data analysis, model development, and experimentation, and C/C++ for implementing efficient algorithms in embedded firmware. - Experience developing, training, and evaluating machine learning models using frameworks such as TensorFlow, PyTorch, or scikit-learn. - Demonstrated experience deploying machine learning models to resource-constrained embedded systems, including optimization across accuracy, power, memory, compute, and latency. - Ability to independently investigate complex algorithmic problems, design rigorous validation experiments, and communicate technical tradeoffs with firmware, hardware, and data science partners. - 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 to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Location: Boston, MA Workplace: OnSite At WHOOP, we’re on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. WHOOP is hiring a Sensor Intelligence Engineer II to join the Sensor Intelligence team and help advance the next generation of biomedical optical sensing technologies. In this role, you will translate optical sensing concepts into validated systems and algorithms that enable meaningful physiological insights for WHOOP members. Working at the intersection of AD, hardware, firmware, data science, and human physiology, you will combine theoretical modeling, hands-on experimentation, and data analysis to inform future sensing capabilities and product development. RESPONSIBILITIES: - Drive the evaluation and development of next-generation optical sensing concepts, including the definition of technical requirements, design tradeoffs, and validation criteria - Analyze raw time-series and multidimensional optical sensor data and construct signal processing work flows or platform for new physiological sensing etc. - Develop, validate, and improve physiological sensing principle using physics modeling and/or experimentation. - Analyze time-series and multidimensional biomedical sensor data to assess performance, identify artifacts and failure modes, and generate actionable recommendations for system and algorithm improvements - Develop or improve the multiphysics numerical simulation platform to optimize sensor performance or evaluate potential sensing concepts. - Collaborate with partners across Hardware, Firmware, Data Science, Research, and Product to communicate technical findings, influence design decisions, and translate research into scalable WHOOP capabilities QUALIFICATIONS: - Master’s degree or PhD in Electrical Engineering, Biomedical Engineering, Applied Physics, Optics, or a related technical field, or an equivalent combination of education and practical experience - 3+ years of relevant industry or research experience developing biomedical optical sensing systems, signal processing methods, or algorithms - Demonstrated depth in: Analyzing raw time-series and multidimensional optical sensor data, including but not limited to: PPG signal AC, DC, Perfusion Index, Systolic Foot, Systolic Peak, Dicrotic Notch, Diastolic Peak, Crest Time, Diastolic Time, etc. - Experience analyzing time-series or multidimensional data from biomedical sensors, such as PPG, ECG, IMU, EMG, acoustic sensors, or medical imaging systems - Proficiency in Python, C, or C++ for data analysis, algorithm development, prototyping, or system implementation, with the ability to communicate technical findings clearly and deliver high-quality work as requirements evolve - 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. PREFERRED QUALIFICATIONS: - Familiarity with biomedical optics or biophotonics, with expertise in one or more areas such as diffuse optical spectroscopy, Raman spectroscopy, tissue optics, experimental optics, or a related field. - Experience with physiological sensing principles, understanding of the human circulation system and respiration system. - Hands-on experience designing, building, and characterizing optical sensing systems or laboratory experiments using components such as LEDs, lasers, photodetectors, lenses, collimators, and optical filters.