Вакансии

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

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

Location: 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 and live longer through a deeper understanding of their bodies and daily lives. WHOOP is hiring a Software Engineering Manager to build and lead a new Device Experience Software team. This application and backend team will own the member-facing screens and supporting services used to manage the WHOOP device experience in the app. Its work will help members set up and connect a device, understand its status, adjust settings, complete updates, resolve common issues, and navigate the device lifecycle with confidence. This role combines technical leadership with people management. You will establish the team charter, hire and develop engineers, guide architecture across the app and backend, and create a dependable delivery cadence. You will work closely with Product, Design, and Quality and coordinate with mobile, connectivity, firmware, hardware, analytics, and Membership Services teams to deliver coherent experiences across the hardware and software boundary. You will also create an environment where engineers can do excellent work and continue to grow. That includes clear expectations, regular feedback, thoughtful coaching, and a culture of accountability, teamwork, psychological safety, and continuous learning. RESPONSIBILITIES - Build, manage, and mentor a new team of application and backend engineers through hiring, onboarding, feedback, performance management, and career development. - Define the team mission, ownership boundaries, technical direction, and operating model with Product, Design, Quality, and engineering leadership. - Own the end-to-end software experience for managing a WHOOP device in the app, including the member-facing screens, backend services, APIs, and production health that support it. - Guide the team in turning complex device states and hardware constraints into simple, accurate workflows for setup, connectivity, device status, settings, software updates, diagnostics, troubleshooting, replacement, and upgrades. - Guide technical designs and architecture decisions while establishing strong practices for development, testing, release readiness, observability, privacy, security, and operational ownership. - Establish a clear planning and delivery cadence that makes scope, dependencies, tradeoffs, progress, and risk visible to partners and leaders. - Use member behavior, support signals, product analytics, reliability data, and quality metrics to guide priorities and coordinate delivery across Connectivity, Firmware, Hardware, Client Platform, Membership Services, Analytics, and other partner teams. - Foster a culture of high standards, direct feedback, accountability, psychological safety, and continuous learning. QUALIFICATIONS - Software development experience followed by an engineering management or team lead role, with responsibility for hiring, mentorship, feedback, performance management, and career development. - A strong technical foundation in consumer application development and backend systems, with experience shipping mobile products and operating services and APIs in production. - Demonstrated ability to lead technical planning and iterative delivery in ambiguous environments while maintaining quality and reliability. - Experience aligning cross-functional partners on scope, priorities, dependencies, release plans, and measurable outcomes. - Strong communication and product judgment, including the ability to explain technical decisions clearly and simplify complex hardware or system behavior for members. - Interest in wearable technology and enthusiasm for working in a fast-moving product environment. PREFERRED - Experience building a new team, product area, or engineering charter from the ground up. - Developing software for connected devices, wearables, Bluetooth products, consumer electronics, or other systems that span hardware and software. - Has led a full-stack product team that owns application interfaces, backend services, and operational outcomes together. - Comfort designing device setup, pairing, connectivity, firmware update, settings, diagnostics, or support workflows. - Ability to work closely with firmware, embedded software, hardware, product design, quality, analytics, or customer support teams. 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 $150,000 - $215,000 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: US, San Diego, CA Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. About The Role As Director of Autonomy at Humanoid, you will lead the team that teaches our bipedal platform to perform locomanipulation tasks in homes and service environments: tidying a room, loading and unloading a dishwasher, putting groceries away, folding laundry, and similar tasks. The output of your team is capabilities that run reliably on real robots and pass our evals, not papers or one-off demos. This is a player-coach role: you own the roadmap, hiring, and delivery, while also training policies, curating data, and debugging failures on the robot yourself. That hands-on work is how you lead: it's how you find what slows the team down and fix it for everyone. This role sits at the intersection of applied deep learning, robotics, and people leadership, working closely with the Controls team on whole-body teleoperation and combining RL controllers with learned policies, and with the Core Technology team on foundation model pre-training for five-finger dexterity and RL methods. If you have hands-on experience with real robot hardware, a track record in applied deep learning, and have led engineers doing this kind of work, we want to hear from you. What You'll Do - Own The Capability Roadmap: Work with product to identify use-case priority, choose the execution strategy, define the evals, and deliver on the agreed timeline. - Lead The Team: Hire, develop, and manage a team of robot learning engineers; set engineering and experimental standards; run day-to-day prioritization. - Co-Own The System 0/1 Interface: Agree with the Controls team on what the policy commands (end-effector targets, root velocity, pelvis height, foot targets, hand joint targets), debug failures across that boundary, and push requirements into the whole-body control roadmap. - Partner On Data Strategy: Specify what good data looks like for bipedal locomanipulation with data collection and external acquisition organizations, ensure diversity and coverage, iterate on operator instructions, and supervise collection on the biped. - Drive Sim-To-Real Transfer: Work with the Simulation team to set up RL training on the digital twin for bipedal tasks, then iterate on reward and simulation quality to ensure transfer to the real world. - Shape Base Model Development: Feed bipedal requirements — embodiment coverage in the pretraining mixture, action representations, latency budgets — into the VLA Core Technology team's base model development, and adopt new base models as they land. - Inform Hardware Design: Interface with the Hardware Design team so findings about hands, arms, and legs on the current generation are reflected in future designs. - Report On Progress: Communicate progress to leadership in terms of capabilities working on the robot, eval results, and failure analysis. WHAT WE'RE LOOKING FOR - 5+ years working on robots (industry or research) with shipped artifacts to show for it, including learned manipulation or locomanipulation policies deployed on real hardware. - Experience leading a team of 5+ engineers doing applied robot learning, including hiring and people management, with capabilities delivered to a deadline. - Hands-on today: you've trained and debugged policies within the last year and intend to keep doing so, and can curate data, post-train a policy, and diagnose failures without delegating that work. - Experience post-training VLA-class policies (autoregressive, diffusion, or flow-matching based) via behavior cloning and/or RL. - Solid understanding of the modern teleoperation and low-level control stack — whole-body control, inverse kinematics, RL locomotion controllers — and the ability to tell whether a failure lives in the policy, the controller, or the data. - Familiarity with deep learning infrastructure: streaming datasets, checkpointing and state management, distributed training, PyTorch or JAX. - Strong grounding in modern software engineering practices, with the ability to document experiments clearly and communicate trade-offs crisply to engineers and leadership. NICE TO HAVE - Experience with multi-fingered dexterous hands: teleoperation and retargeting, tactile sensing, in-hand manipulation. - Experience with legged platforms: bipedal locomotion, whole-body control, humanoid teleoperation. - Experience applying RL to robotics problems in simulation or on real robots. - Familiarity with Physical Intelligence (π) models, NVIDIA GR00T, or similar open VLA frameworks. - Publications at top-tier robotics or deep learning conferences (CoRL, RSS, ICRA, NeurIPS) or equivalent open-source contributions. WHAT WE OFFER - Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources. - Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays. - 401(k) retirement plan with 4% employer match. - Competitive equity: stock options with meaningful upside as we scale. - Free daily catered lunch, snacks, and drinks in‑office. - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics. - Freedom to influence the product and own key initiatives. For this role in California, the expected base salary range is $300,000-$450,000 USD per year; your placement in that range depends on how experience maps to our internal leveling.

Location: Remote - US West About the Job: We're looking for a senior security leader to run our Product Security team and partner to the Director of Security. In this role, you'll own how Security operates: a program led by risk rather than audit calendars, where engineering teams own their security health and Security informs, guides, and validates, where automation and AI take the first pass on every finding, and where posture is measured and published to executives every quarter. You'll build that model, starting with Product Security and extending across the division. You'll bring a balance of people management, security judgment, and program leadership as you manage a team of security engineers, act as incident manager of record, hold delegated approval for vendor and access decisions, and run the division when the Director is in an audit, a board cycle, or on vacation. You'll work closely with every engineering team to make the secure path the easy one. Responsibilities: Manage the portfolio of your team's work, appropriately managing everyone's time and assigning them to the highest priority work. Help your team and the engineering organization make sense of, and simplify, how security work gets done: who owns what, what is automated, and what Security stops doing. Guide product engineering teams in owning their own security health: findings route to them with mapped severity, Security reviews and validates rather than fixes, and each team sees its security health in its own service review. Own the wiring and routing of security findings and requests, driving down noise and the human-decision rate across intake, triage, and review. Serve as incident manager of record for security incidents: first escalation for our service-level commitments, delegated approver for vendor and access decisions, and cover for the Director's operational duties. Publish posture: monthly service-level attainment to engineering, quarterly posture to the executive team, and a risk register that drives priorities. About You: You have led a security team out of the gatekeeper model once already, and you can say what teams owned afterward, what Security stopped doing, and what the numbers did. You think in risk, not control lists, and you would rather defend a priority call than a checklist. You treat automation and AI as the first responder and yourself as the escalation path. You have been the second leader to a director or CISO and know which decisions to make in their name. You have run security incidents end to end, including the comms and the review afterward. You were a strong Senior or Staff security engineer before you managed, and you can still read a PR, a threat model, or a cloud finding and make a call. You track and drive metrics, and you understand what they can and can't tell you. Qualifications: 5+ years of experience in a formal security or engineering management role, including managing senior engineers. Experience moving a security function from gatekeeper to team ownership, with measurable results. Experience as incident manager for security incidents at a SaaS company, including external communication. Experience guiding teams through technical tradeoffs and developing senior engineers' careers. The ability to track and drive metrics, and the wisdom to understand what they can and can't tell you. Familiarity with AWS security at scale and with external audits (SOC 2, ISO 27001, or FedRAMP) as a participant or control owner. Excellent communication skills with both technical and non-technical stakeholders. A thoughtful, empathetic approach to leadership and collaboration. Pay: Target pay ranges based on Geographic Zones* for Level M3: Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $240,600 - 330,700* Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $216,500 - 297,600 ** Zone 3: All other US locations - $ 204,500 - 281,100 ** All Zones Inclusive of 15% Bonus Target LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location. *Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas. **Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary. About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: Improving the velocity and stability of software releases, without the fear of end customer outages Delivering targeted experiences by easily personalizing features to customer cohorts Maximizing the business impact of every feature through the ability to experiment and optimize Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at hr@launchdarkly.com . Do you need a disability accommodation? Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @LaunchDarkly .com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com .

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

Location: United States, Austin, TX Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Data Engineer PlayStation's Infrastructure Business Operations team is looking for a Data Engineer to build the data foundation for understanding the cost, utilization, and economics of PlayStation’s global infrastructure. Our infrastructure spans data centers, compute, storage, networking, Kubernetes, public cloud, SaaS, and other technology services. You will work alongside our engineering, product, finance, FinOps, and operations teams to build a data platform that can connect these disparate data sources into a trusted view of how our infrastructure is used, what it costs, and ultimately how those costs contribute to the economics of our products. You will own the end-to-end implementation, starting with identifying the questions that matter, determining the data required to answer them, building the pipelines and models to make that data reliable and accessible, and finally turning it into insights that drive better decisions. What You’ll Do Build scalable data pipelines that ingest, transform, and combine physical infrastructure, engineering system, financial, and product data. Develop cost and allocation models that connect infrastructure consumption to workloads, services, features, and products. Partner with engineering teams to understand complex infrastructure and identify the telemetry and instrumentation needed to measure it. Analyze infrastructure cost, utilization, capacity, and unit economics to help drive key business decisions across all our teams. Create trusted metrics, datasets, dashboards, and analytical tools used by engineering, product, Finance, and leadership. Establish strong practices around data quality, testing, observability, documentation, and reproducibility. Explore new data sources and technologies that improve how we understand and operate our infrastructure. What We’re Looking For 3+ years in a similar role, focused on building production data pipelines, data models, and analytical systems. Advanced SQL skills and proficiency with Python or similar data-oriented programming languages. Experience with modern data platforms and tooling such as Snowflake, Databricks, dbt, and automated ETL/ELT pipelines. Strong analytical skills—you’re comfortable investigating the data yourself, challenging results, and translating findings into clear conclusions. Experience working with large, complex datasets across multiple systems and levels of granularity. Ability to translate ambiguous business and technical problems into measurable requirements and scalable data solutions. Experience and flexibility with current analytics and visualization tools. Familiarity with teams and engineering systems that utilize both on-prem and cloud infrastructure. Strong communication skills and the ability to work across global engineering, product, Finance, and business teams. Nice to Have Bachelor’s degree in computer science Experience with AWS, Google Cloud, or Azure billing and usage data. Experience with Kubernetes telemetry, networking, or data center operational data. Familiarity with infrastructure cost allocation, unit economics, capacity planning, forecasting, or FinOps. Experience connecting technical infrastructure consumption to product or business metrics. PlayStation isn't just the Best Place to Play - it's also the Best Place to Work. We've thrilled gamers since 1994 when we launched the original PlayStation. Today, we're recognized as a global leader in interactive and digital entertainment. The PlayStation brand falls under Sony Interactive Entertainment, a wholly owned subsidiary of Sony Corporation. Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to race, color, religion, gender, pregnancy, national origin, ancestry, citizenship, age, legally protected physical or mental disability, covered veteran status, status in the U.S. uniformed services, sexual orientation, marital status, genetic information or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. We sincerely appreciate the time and effort you spent in contacting us and we thank you for your interest in PlayStation. Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

This is one of the first Customer Success Managers at RETR, and you will own a book of our enterprise customers end to end: the relationships, the value they get, the renewal, and the growth. What you own.

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: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. The Opportunity Grafana Labs is looking for a Sales Operations Manager to support our GTM organization by managing advanced models, improving our data structure, and strengthening our operational processes. Reporting to the Sr Director of Field Operations, this role will focus on target setting, quota creation, and reporting for our consumption based product suite. The ideal candidate is highly analytical, excels at translating complex business realities into structured models, and thrives in a fast-paced, data-heavy environment. What you'll be doing: Improve and maintain core models of our account base as it relates to consumption growth across the GTM organization. Partner with the larger Revenue Operations and Compensation team to manage monthly compensation updates and drive improvements in existing processes. Conduct deep-dive analyses on our customer product engagement to drive decisions around our product investment, GTM segmentation, and territory planning decisions. Work within Google BigQuery (SQL) to extract large datasets for reporting. Influence data orchestration between BigQuery, Google Sheets, and compensation tools to streamline calculations and execution of compensation. Manage exceptions directly with Sales. Independently execute ad-hoc reporting requests, delivering actionable insights What Makes You a Great Fit: 4+ years of experience in strategy and operations, consulting, business analytics, or compensation. Comfort working with large datasets and ambiguous problems, with the ability to distill key takeaways. Strong problem-solving skills – able to translate business challenges into structured models and insights. Excellent communication skills with executive audiences - explain “what it is”, “why it matters” and “what should we do” in terms of your data and analysis. Ability to work independently and drive analysis with minimal guidance. Expert-level Excel or Google Sheets modeling skills, including advanced formulas, pivot tables, and data visualization. Proficiency in SQL and data orchestration between BigQuery and GTM tools Experience with Salesforce reporting, dashboards, validation rules, and flows. Experience with compensation tools like Xactly, Apttus, or CaptivateIQ Bonus Points For: Previous experience in open source Experience with data visualization tools like Tableau or Looker. Grafana visualization as a plus Compensation & Rewards: In the United States, the OTE (On-Target Earnings) compensation range for this role is $ 125,000 - $148 ,000 Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. #LI-Remote *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Remote, Global ABOUT SUPABASE Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. ABOUT THE ROLE We are seeking a Platform Software Engineer with deep experience in distributed systems to help design, build, and maintain core platform services. You will work primarily in TypeScript and Go to deliver reliable, scalable, and secure systems that power Supabase at massive scale. WHAT YOU'LL BE DOING: - Design and implement distributed services and APIs that power the Supabase Platform. - Lead projects that improve scalability, reliability, and cost efficiency across existing systems. - Build data-intensive workflows, background jobs, and event-driven pipelines. - Own service SLIs/SLOs and collaborate on incident response and post-incident reviews. - Improve system observability with metrics, logging, tracing, and profiling. - Contribute to our CI/CD and release processes to ship safely and quickly. - Partner with product teams to deliver features end-to-end, from design docs to production. - Write clear design documents, RFCs, and high-quality tests. WHAT WE'RE LOOKING FOR: - Experienced in designing and operating distributed systems, with strong foundations in consistency, fault tolerance, partitioning, consensus, and back pressure. - Proficient in TypeScript and/or Go, ideally with 5+ years building production services in one or both languages (other languages also considered). - Comfortable with cloud infrastructure (AWS preferred) and container orchestration. - Familiar with multi-tenant architectures, API design, and data modelling. - Knowledgeable about networking fundamentals and security best practices. - Experienced with Infrastructure as Code (Pulumi preferred; Terraform/CDK also fine). - Comfortable participating in on-call rotations for large-scale production systems. NICE TO HAVE: - Experience with Postgres internals, logical replication, or CDC pipelines. - Experience with service meshes, workload identity, or zero-trust networking. - Background in performance engineering and capacity planning. - Open source contributions in systems, databases, or runtime tooling. WHAT WE OFFER - Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. - ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. - Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. - Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. - Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. - Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. - Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. ABOUT THE TEAM Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. - ~400 team members - 60+ countries - 20+ languages spoken - Over $1B raised (including our $500M Series F) - 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. Job Description As a Data Engineer, you will be a member of the Data Science & Analytics team building the foundation to scale analytics across our organization. You will collaborate with key stakeholders in Engineering, Product, and other areas to build scalable solutions to transform data into key metrics reporting and insights. You will be responsible for ensuring teams have access to reliable, accurate metrics for consumer products from idea to implementation. You will also lead your own projects to enable self-serve insights to help teams make data-driven decisions. Responsibilities : Understand and whenever possible proactively identify the data needs of stakeholder teams in terms of key data models and reporting, and translate that into technical requirements Define, build and manage key data pipelines in dbt that transform raw logs into canonical datasets Establish high data integrity standards and SLAs to ensure timely, accurate delivery of data Develop insightful and reliable dashboards to track performance of core metrics that will deliver insights to the whole company Build foundational data products, dashboards and tools to enable self-serve analytics to scale across the company Closely partner with stakeholders to define and materialize metrics and analysis for new and evolving consumer products in a fast paced environment Influence the future roadmap of Product teams from a data systems perspective Become an expert in our organization’s data models and the company's data architecture You might be a good fit if you have: 7+ years of experience as an Data Engineer or similar Data Science & Analytics roles, preferably partnering with Product leads to build and report on key company-wide metrics. A passion for the company's mission of building helpful, honest, and harmless AI. Expertise in building multi-step ETL jobs through tooling like dbt; proficiency with workflow management platforms like Airflow and version control management tools through GitHub. Expertise in SQL and Python to transform data into accurate, clean data models Experience building data reporting and dashboarding in visualization tools like Hex to serve multiple cross-functional teams. A bias for action and urgency, not letting perfect be the enemy of the effective. A “full-stack mindset”, not hesitating to do what it takes to solve a problem end-to-end, even if it requires going outside the original job description. Experience building a Data Engineering (or similar) function at start-ups. A strong disposition to thrive in ambiguity, taking initiative to create clarity and forward progress. Experience scaling own productivity and that of others by leveraging AI without sacrificing the quality of deliverables. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

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.