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Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The GTM Strategy & Operations, Frontier team coordinates how Anthropic's research reaches the market: how we run model launches commercially, how we partner with Capacity teams to allocate a finite compute supply across customers and surfaces, and how we translate what the field learns into reads that Research, Product, Finance, and GTM leadership act on. One tangible example of the work this role will contribute to is new model and product introduction: the end-to-end commercial run of a model, product or capability release, from identifying market opportunities to preparing customer cohorts and the field through to the adoption readout that shapes where we go from there. We are hiring for someone who can run a high-stakes cross-functional program where the bar for execution is sky high, author the strategic analysis and readouts executive leadership needs, and create and optimize repeatable methodologies. This role reports to the Global Head of GTM Strategy & Operations, Frontier, and sits at the interface between GTM, Applied AI, Product, Research, Security & Safeguards, Finance, and Compute. Key responsibilities Run launches Serve as GTM DRI for product and model launches: own account selection for pre-launch, coordinate field readiness across scaled pre- and post-sales teams, and run the launch-week operating room with extreme ownership. Synthesize customer adoption signal (usage patterns, migration behavior, qualitative feedback from the field) into actionable reads for executive leadership across the company Design and run the field response loop: how AE, CS, Applied AI and customer response and feedback gets captured, triaged, and routed to the teams who can act on it Evolve the NPI methodology Design and iterate GTM's NPI methodology across both standard releases and managed-access programs, including operating cadence, roles and handoffs with field teams, and the bar for launch readiness Carry the executive reporting cadence for launches: what leadership teams see, how often, and how we make adoption trends legible early as well as retrospectively in a continual sprint environment Partner across the company Act as GTM's primary interface to Product S&O and Research on launch planning, ensuring commercial readiness is sequenced with product / model readiness Work with Sales Strategy & Operations partners, Applied AI, and Customer Success on field execution, ensuring the launch motion lands consistently across segments and regions Partner with Capacity teams on rate limits, provisioning, and capacity planning for account cohorts, assessing capacity-efficiency opportunity and executing against it with customer value at the core Collaborate on protect-play targeting, sequencing, and post-launch competitive response when external launches and ours overlap Minimum qualifications Experience in product operations, PMM operations, release management, management consulting, or GTM strategy & operations Built and run high-stakes, operations-heavy programs with many cross-functional dependencies at a high-velocity product company, with a track record of turning effective heroics into a repeatable, scaled methodology Ability to quickly weigh, select, and execute the balance between business, safety, and repeatability considerations Written for and presented to senior executives; you can produce the readout leadership reads and hold the room with Product, Research, and Finance counterparts Exceptional analytical skills, rooted in data but never without corresponding actionable insights. You can design the metrics and reporting that make a program legible, distinguish signal from noise in a messy week-one read, and work with analytics engineering teams to evolve data design to be fit for purpose A bias toward extreme ownership - you see the gap, you fill it, and you hold the outcome regardless of where the org lines fall Bachelor's degree required Preferred qualifications Strong analytical foundation: SQL and code-level data proficiency, sophisticated modeling in Sheets or Excel, and experience with BI tools (Looker, BigQuery, or similar) Experience at an AI, developer-tools, or API-first company with consumption-based pricing (ideally as well as B2B SaaS) Strong familiarity with, if not direct experience in, commercial roles (sales, rev ops, product marketing) or product management in addition to operations Familiarity with safety, trust & safety, or security-review processes in a product context Demonstrated success operating in ambiguity at a company where the product and the operating model are both changing fast Deadline to apply: None. Applications will be reviewed on a rolling basis. 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: $190,000 — $270,000 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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: Baton Rouge, United States Keller Executive Search is partnering with a leading organization to identify a talented Financial Analyst who can turn data into insight and insight into action. Our client operates in a dynamic, growth-oriented sector where sound financial analysis directly informs strategic decision-making at the highest levels. In this role, you will support budgeting, forecasting, and performance reporting while building the models and analyses that guide investment, cost, and operational decisions. You will also play a central role in evaluating acquisition opportunities -- building valuation and pro forma models from raw target financials and supporting the deal team through financial diligence. You will collaborate closely with finance leadership and cross-functional teams, providing the clarity and rigor that leaders rely on to plan for the future and pursue growth. This is an excellent opportunity for a detail-driven finance professional who enjoys blending quantitative work with clear communication. You will gain broad exposure to the business, work with modern financial tools, and have a genuine path for professional growth within a supportive and collaborative environment. Key Responsibilities Prepare monthly, quarterly, and annual financial reports, including variance and trend analysis Build and maintain financial models to support budgeting, forecasting, and long-range planning Build acquisition valuation and pro forma models from target financials to support live M&A activity Support financial due diligence, including quality of earnings analysis and integration cost modelling Analyze operational and financial performance and translate findings into actionable recommendations Partner with department leaders to develop budgets and monitor spend against plan Support month-end and quarter-end close activities in coordination with accounting Develop dashboards and KPIs to track business performance Conduct ad hoc analyses on pricing, cost, profitability, and investment opportunities Present findings and recommendations clearly to finance and business stakeholders Additional Information Full-time position Specific location and workplace arrangements disclosed later in the process Requirements Essential Bachelor's degree in Finance, Accounting, Economics, or a related field 3 or more years of experience in FP&A, corporate finance, or a comparable analytical finance role Exceptional candidates early in their career will also be considered where drive, curiosity, and the ability to learn fast are clearly demonstrated Strong proficiency in Microsoft Excel, including modeling and complex formulas Solid understanding of financial statements and core accounting concepts Strong analytical, problem-solving, and attention-to-detail skills Clear written and verbal communication skills for presenting to stakeholders Preferred Experience with ERP and financial planning systems Familiarity with BI and data visualization tools such as Power BI or Tableau Progress toward or completion of CFA, CPA, or CMA credentials Experience working with SQL or automating reporting processes Ideal Candidate Profile You are a curious and dependable finance professional who enjoys working with numbers and explaining what they mean. You are organized, deadline-driven, and comfortable managing multiple priorities. You take ownership of your analyses, communicate insights with confidence, and thrive in a collaborative team that values accuracy and continuous improvement. Benefits Competitive base salary aligned with experience Performance-based bonus potential Comprehensive health, dental, and vision coverage Retirement savings plan with employer contribution Paid time off and holidays Professional development support and certification assistance Keller is a recruitment agency that provides services to clients ranging from startups and non profits to multinational corporations. Keller emphasizes ethical search processes, attentive candidate care, and leadership placements that support long-term client outcomes. To learn more about the firm and about our candidate services - please visit our website Equal Employment Opportunity and Non-Discrimination Policy Equal Employment Opportunity Statement: Both Keller Executive Search and our clients are Equal Opportunity Employers. For all positions, whether with Keller Executive Search or our clients, qualified applicants will receive consideration for employment without regard to race, skin color, religion, sex, sexual orientation, gender identity, gender expression, national origin, age, protected veteran status, disability, genetic information, or any other legally protected status. Commitment to Diversity: Keller Executive Search and its clients are committed to fostering a diverse and inclusive work environment where all individuals are valued and respected. Reasonable Accommodations: Both Keller Executive Search and our clients are committed to providing reasonable accommodations to individuals with disabilities and pregnant individuals. We engage in an interactive process to determine effective, reasonable accommodations. Compensation Information: For client positions, compensation information is available in the job post. If not provided, it will be shared during the interview process in accordance with applicable laws. When required by law, salary ranges will be included in job postings. Actual salary may depend on skills, experience, and comparison to current employees in similar roles. Salary ranges may vary based on role and location. Compliance with Laws: Both Keller Executive Search and our clients comply with federal, state, and local laws governing nondiscrimination in employment. This policy applies to all employment terms and conditions, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Workplace Harassment: Both Keller Executive Search and our clients expressly prohibit any form of workplace harassment based on race, skin color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. E-Verify Participation: Keller Executive Search and/or our clients may participate in E-Verify. Information about E-Verify participation will be provided during the application process where applicable. Privacy and Pay Equity: California Residents: For more information about the categories of personal information we collect for recruiting and employment purposes, please review our Privacy Policy at www.kellerexecutivesearch.com . Colorado, Nevada, New York City, California, and Washington Residents: Compensation information is available in the job post or will be provided during the interview process if not initially available. Both Keller Executive Search and our clients are committed to pay equity and conduct periodic pay equity analyses in accordance with applicable laws. State-Specific Information: Rhode Island: We do not request or require salary history from applicants. Connecticut: We provide wage range information upon request or before discussing compensation. New Jersey: We do not inquire about salary history unless voluntarily disclosed. Veteran Status: Both Keller Executive Search and our clients provide equal employment opportunities to veterans and comply with applicable state laws regarding veteran preference in employment. If you are a veteran, please inform us during the application process. Use of Artificial Intelligence in Recruitment Keller Executive Search and our clients may use artificial intelligence (AI) tools to assist in the recruitment and candidate evaluation process. These tools are used exclusively to support human decision-making by helping to review and assess candidate qualifications and materials. AI is never used to automatically reject, disqualify, or make final hiring decisions about candidates. All AI-assisted evaluations are reviewed by experienced recruitment professionals, and all hiring decisions are made by qualified human recruiters. Our use of AI is designed to enhance fairness, consistency, and efficiency while maintaining our commitment to equal employment opportunity and non-discrimination principles. Genetic Information: In accordance with federal and state laws, both Keller Executive Search and our clients do not discriminate based on genetic information. We do not request or require genetic information from applicants or employees, except as permitted by law. Local Laws: Both Keller Executive Search and our clients comply with all applicable local laws and ordinances regarding employment practices in the areas where we operate. Note: This job posting may be for a position with Keller Executive Search or one of our clients. The specific employer will be identified during the application and interview process. Employment laws and requirements may vary depending on the employer and location.

Position Overview ESS is seeking a highly experienced HSEC Manager to lead all Health, Safety, Environment, and Community (HSEC) functions In Morocco. The HSEC Manager will ensure full compliance with Moroccan regulatory requirements and alignment with international best practices, including the standards of the International Finance Corporation (IFC) where applicable. This role is critical in safeguarding workforce safety, environmental protection, regulatory compliance, and maintaining strong relationships with local communities and stakeholders. Key Responsibilities Health & Safety Develop, implement, and maintain the site Health & Safety Management System. Ensure compliance with national occupational health and safety regulations. Lead risk assessments, Job Safety Analyses (JSAs), and incident investigations. Due diligence. Monitor and report on safety KPIs (LTIFR, TRIR, near misses). Promote a strong safety culture across employees and contractors. Oversee contractor HSE performance and enforce site safety standards. Develop emergency preparedness and response plans. Environmental Management Ensure compliance with environmental permits and regulatory requirements. Oversee implementation of ESIA commitments and Environmental & Social Management Plans. Supervise environmental monitoring programs (water quality, air emissions, waste management, noise, biodiversity). Ensure proper hazardous materials and tailings management (if applicable). Prepare regulatory and internal environmental reports. Lead environmental audits and inspections. Community & Social Management Support implementation of stakeholder engagement strategies. Oversee community grievance mechanisms. Ensure project activities minimize impacts on surrounding communities. Coordinate community development initiatives in collaboration with management. Maintain constructive relationships with local authorities and community leaders. Governance & Reporting Ensure alignment with IFC requirements where project financing applies. Prepare HSEC reports for senior management and regulatory authorities. Support external audits and lender reviews. Develop continuous improvement plans based on HSEC performance data. Maintain accurate documentation and compliance records. Qualifications & Experience Bachelor’s or Master’s degree in Environmental Science, Occupational Health & Safety, Mining Engineering, or related field. Minimum 5 to 10 years of HSEC experience in industrial, environment, mining or heavy industrial projects. Strong knowledge of Morocco regulatory framework. Experience in projects aligned with IFC standards is an advantage. Fluent in French; English is an asset. Strong leadership and team management skills. Core Competencies Strong leadership and decision-making Operational risk management Regulatory compliance expertise Stakeholder engagement skills High level of integrity and accountability Ability to work in remote site environments

Location: Honolulu, United States; Wailea, United States; Waikoloa Village, United States; Kihei, United States; Kahului, United States Turn your passion for luxury into a career opportunity. Explore the world of premium brands and make a lasting impact in fashion, beauty, jewelry, or automobiles. Join CXG, the global leader in customer experience, and work alongside iconic brand names. About the Role: As a luxury brand evaluator, you will step into the world of luxury to discreetly assess customer experiences, providing critical feedback that helps brands refine their services. Whether visiting boutiques, purchasing online, or returning a product, your voice shapes the future of luxury. • Flexibility - each in-store visit takes approximately 20 minutes, giving you the flexibility to complete multiple assignments. • Frequent opportunities - perform several missions per month and collaborate with some of the most prestigious brands worldwide. What you will be doing: 1. Choose your assignments - align your missions with your personal preferences and profile. 2. Visit luxury stores or evaluate online - engage with sales associates in the stores or online from the comfort of your home. 3. Observe carefully - check the ambiance, service quality, and overall customer experience. 4. Provide honest feedback - use our platform to share your observations through questionnaires. Perks of the Role: • Collaborate with iconic brands across industries. • Flexible assignments tailored to your interests. • Compensation for your time and input, with the potential for reimbursement on purchases. • A user-friendly platform for managing missions and feedback. How to Join the CXG Community: 1. Register: sign up at live.cxg.com and confirm your email. 2. Complete your profile: fill out your details to 100% and get verified. 3. Get certified: pass the General Certification to access missions. 4. Apply for missions: explore assignments with brands that excite you. 5. Start evaluating: begin making a difference in the luxury market. Compensation: • Non-Purchase Evaluations: Earn a fee based on mission complexity. • Purchase-Based Evaluations: Reimbursement for approved items as stated in the mission brief. About CXG At CXG, we connect premium brands with over 80,000 evaluators across 70 countries. With 12 global offices and almost two decades of CX retail expertise, we’re committed to redefining the customer experience for luxury giants. Join us and enjoy the flexibility of working on the go with our mobile platform, CXG Live. On this platform, you can seamlessly manage missions, certifications, and feedback. Requirements Must be 18 years or older (21 years or older in the United States). Current customer of premium and luxury brands. Not currently under contract with any retail brands, to ensure impartiality. Punctual, organized, detail-oriented, and reliable. Observant and passionate about customer experience. No prior experience is required; we value honest feedback from genuine customers.

Location: Strava SF; Strava New York Workplace: Hybrid ABOUT STRAVA Strava is the app for active people. With over 200 million athletes in more than 185 countries, it’s more than tracking workouts—it’s where people make progress together, from new habits to new personal bests. No matter your sport or how you track it, Strava’s got you covered. Find your crew, crush your goals, and make every effort count. Start your journey https://www.strava.com/subscription with Strava today. Our mission is simple: to motivate people to live their best active lives. We believe in the power of movement to connect and drive people forward. About This Role Strava's Retention team is responsible for reinforcing ongoing subscription value, from renewal to feature adoption, through lifecycle marketing and experimentation. As Product's GTM velocity has grown, so has the need for a dedicated bridge between Product Marketing (PMM) and Lifecycle Marketing, so that new launches can be supported by one-off activations, as well as integrated into lifecycle programs. This role owns that bridge. You'll represent Retention across GTM alignment forums with PMM, MarTech, and Data, translating GTM briefs into scoped plans, targetable audiences, and experiment designs, and project managing each launch from creative handover through post-campaign analysis. You'll partner closely with individual lifecycle marketers to route GTM opportunities into existing lifecycle programs where it makes sense, and to build new, repeatable ones where it doesn't. You're the first dedicated hire in this new pod, so you'll be hands-on from day one: running launches end to end, building them yourself in our martech stack, and shaping the first working version of the playbook as you go. We follow a flexible hybrid model that translates to more than half of your time on-site in our San Francisco or New York City office, three days per week. What You'll Do: - Represent Retention in ongoing GTM alignment forums across PMM, MarTech, and Data, owning brief intake and early-stage scoping so success metrics are defined before a GTM kicks off. - Drive the GTM channel strategy and experimentation plan end to end: align stakeholders, confirm launch dates and experimentation design, review first-round creative, and manage the project from creative handover through post-campaign analysis. - Translate GTM briefs into targetable audience lists, partnering with MarTech to identify what's available and close data gaps, so PMM can size launches accurately. - Design and run incremental A/B tests on GTM campaigns, defining success metrics and mapping results against PMM's and Retention's learning agendas. - Meet regularly with lifecycle marketers to understand their quarterly goals and surface GTM opportunities in that context, handing off strategic ownership on higher-tier programs to the marketer who owns that history, and owning execution directly on lower-tier tests. - Bridge Product Engineering, PMM, and MarTech tooling (Iterable, Braze, Kevel) to enable the right data into comms systems, and build, QA, and launch GTM campaigns in our martech stack. - Apply PMM's tiering structure to run launches consistently, log results against a shared benchmark set so comparing campaigns stops being one-off reporting, and informs how the next launch gets scoped. - Support seasonal and brand-led campaigns (e.g., major marathon upsells, gifting and family plan moments, back-to-school promotions) with owned-channel strategy and execution. What You'll Bring to the Team: - 4-6 years of hands-on experience across growth, lifecycle, or product marketing, with fluency in both worlds: you can shape briefs collaboratively with PMM and connect GTMs into existing lifecycle programs - A track record of designing and running experiments: defining success metrics, structuring fair tests, and translating results into clear recommendations. - Excellent project management skills: you can manage multiple concurrent launches end to end and keep cross-functional partners aligned on timelines and dependencies. - Experience partnering with data or engineering teams to translate marketing briefs into targetable audiences and flag data gaps early. - A builder's mindset: you're motivated by setting something up from scratch and improving it launch over launch. - Hands-on experience building and QAing campaigns in marketing automation or ad-serving platforms (such as Iterable, Braze, or Kevel). - Familiarity with subscription or freemium business models is a plus. How This Role Grows The role is deliberately hands-on to start: you'll be running launches, building them yourself, and finding out what works. As the pod matures, so does the scope — from running each launch yourself to owning the system others run them through. That means codifying how GTMs get executed and measured, turning one-off activations into a repeatable playbook, and holding senior relationships across Product and PMM directly. It's a path we've mapped rather than implied, and part of why we're hiring this role now rather than later. For more information on benefits, please click here https://docs.google.com/document/d/e/2PACX-1vTkFMPz3eCjd0FgQ28VWnK4d2BEnzGyaSFGwATR-dQdBb9HxZgay6kboqnT0-V-qaBDzSvYIzI76vT5/pub.   WHY JOIN US? Movement brings us together. At Strava, we’re building the world’s largest community of active people, helping them stay motivated and achieve their goals. Our global team is passionate about making movement fun, meaningful, and accessible to everyone. Whether you’re shaping the technology, growing our community, or driving innovation, your work at Strava makes an impact. When you join Strava, you’re not just joining a company—you’re joining a movement. If you’re ready to bring your energy, ideas, and drive, let’s build something incredible together. Strava builds software that makes the best part of our athletes’ days even better. Just as we’re deeply committed to unlocking their potential, we’re dedicated to providing a world-class, inclusive workplace where our employees can grow and thrive, too. We’re backed by Sequoia Capital, TCV, Madrone Partners and Jackson Square Ventures, and we’re expanding in order to exceed the needs of our growing community of global athletes. Our culture reflects our community. We are continuously striving to hire and engage teammates from all backgrounds, experiences and perspectives because we know we are a stronger team together. Strava is an equal opportunity employer. In keeping with the values of Strava, we make all employment decisions including hiring, evaluation, termination, promotional and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. California Consumer Protection Act Applicant Notice https://docs.google.com/document/d/e/2PACX-1vSc8y6On4NlP5s12hf4kmWe_pvenVyQ78TbtVaz_clROhj9ADQ6kY4YScglBIuY2joKFKalOReX7vP_/pub

Location: San Francisco, California Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE: Notion is reimagining how customers adopt, expand, and realize value from software in an AI-native world. As an Outcomes Architect, you’ll be the build-beside partner who helps customers turn AI ambition into working systems inside Notion. You’ll own workflow adoption, value delivery, and renewal outcomes for a book of named accounts, with a focus on customers that are flat, at-risk, or need a stronger path to measurable impact. You’ll partner closely with Solutions Consultants on account strategy, expansion qualification, and planning, while directly shaping outcomes that strengthen customer partnerships and contribute to predictable revenue. If you’re someone who loves helping customers build workflows that solve real business problems—and you want to work at the intersection of AI, productivity, customer value, and revenue impact—this is the role. This role can be based in either San Francisco or New York City. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. WHAT YOU'LL ACHIEVE: - Drive workflow adoption and value realization for a book of named accounts ensuring your customers know how to deliver outcomes with Notion - Contribute directly to NRR with predictable renewal and expansion pipeline and proactive product adoption for your book of business - Partner closely with Solutions Consultants on strategy for expansion and renewal for shared accounts, including owning the commercial opportunity for flat and at-risk renewals - Define and maintain mutual success plans that proactively guide customers through their AI Transformation and demonstrate ROI to executive-level stakeholders with periodic business reviews - Facilitate use-case consultations that guide customers through their continuous Solutions Design and identify new workflow opportunities that drive outcomes and increase value with Notion - Identify opportunities to engage Services for customers with complex or technical implementation needs and partner closely with the Services team throughout delivery to ensure successful outcomes and value delivered - Learn Notion’s product and the broader AI ecosystem inside and out so you can be best suited help customers navigate new ways of working and build durable systems in Notion as the underlying system - Help build and deliver OA programs that generate customer and business outcomes across Notion’s install base SKILLS YOU'LL NEED TO BRING: - 4+ years of experience driving customer adoption, value realization, renewals, or expansion within a B2B software environment - Strong customer-facing discovery instincts, with the ability to understand business problems, map workflows, and translate goals into practical implementation plans - Technical fluency and presence as a trusted advisor—while you won't be building for your customers, you should be capable of co-design, configuring, and troubleshooting Notion workspaces and workflows - Commercial awareness and the ability to partner with account owners on renewal risk, expansion potential, and account strategy - Ability to design and help customers build workflows that drive usage based consumption, connecting adoption patterns to measurable commercial outcomes - Strong program and stakeholder management skills, with the ability to manage success plans, timelines, risks, and customer commitments across a book of accounts - You operate with agency, urgency, and customer empathy, bringing structure to ambiguous problems and helping teams move from ideas to working systems - You’re obsessed with AI, constantly building with the newest tools and learning new ways of working NICE TO HAVES: - Prior experience in customer success, solutions consulting, implementation, technical account management, or post-sales strategy for productivity, collaboration, or workflow software - Experience working with flat, at-risk, or complex renewal accounts and helping customers return to a clear value path - Experience partnering in a shared account ownership model with sales, solutions, support, or implementation teams - Experience designing repeatable customer programs, playbooks, or interventions that improve retention, expansion, and adoption at scale Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco and New York, the estimated OTE (On-Target Earnings) range is $166,000-$185,000 per year.   By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550?pvs=74 and NYLL 144 https://notion.notion.site/Ashby-AI-Bias-Audit-2b0efdeead05803bbbfae159ec86c528. #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: Los Angeles, USA ML engineers at Riot own the full lifecycle of machine learning in production — from problem framing through model design, deployment, and operation — building systems that serve players at global scale. They work across disciplines with engineers, data scientists, designers, and product teams to turn ML capabilities into player-facing experiences and tools for making great games. The Role As a Principal AI/ML Platform Engineer for League of Legends , you will set ML platform and integration strategy that enables League teams to build, launch, and operate player and developer facing ML experiences. You will build the systems, tooling, and operational standards that enable teams to deploy and operate ML at global scale. Your technical direction will influence product strategy and your work will directly shape how League of Legends evolves player-facing experiences. Your work will span year-plus efforts on League, mentoring and coaching across disciplines. You will report to the Senior ML Engineering Manager within the League of Legends game team. This role is based out of our Los Angeles area headquarters. Responsibilities: Lead AI/ML workflow and MLOps for League of Legends; build automation standards including auto-remediation and self-healing pipelines; drive implementation. Create AI/ML serving architecture that scales to production load for Riot’s player base; design systems requiring minimal operational intervention; drive implementation of proven serving architectures. Build ML feature platforms to scale feature development and processing; solve scale, latency, or reliability constraints in ML data pipelines. Lead AI/ML developer experience that accelerates development; remove workflow bottlenecks and enable new capabilities. Lead AI/ML governance in partnership with compliance experts to ensure regulatory adherence; drive implementation of proven frameworks. Ensure AI/ML platform security in partnership with security teams; drive implementation of proven privacy, security, and cryptography techniques for AI/ML. Create AI/ML pipeline development and deployment standards, coordinating with data engineering on shared MLOps capabilities. Craft AI/ML service development and API standards across product integrations. Drive operational excellence and cost optimization for AI/ML systems across the organization. Run incident management and set response standards for AI/ML systems across production services. Build observability and monitoring standards for AI/ML systems across services. Create tooling strategy and evaluation for AI/ML platforms across the organization. Drive mentorship of senior engineers across multiple products or problem areas; coach developers across disciplines. Drive recruiting standards across multiple products or problem areas; contribute to interview kits and TA efforts. Qualifications: Bachelor’s degree in Computer Science or a related field, or equivalent practical experience. 10+ years of professional software engineering experience, including 5+ years building production ML platforms, systems, or MLOps capabilities. Evidence that platforms or systems you’ve led have become load-bearing for multiple teams or products — adopted, depended on, and evolved beyond the original scope. Deep operational intuition for ML systems at scale: you’ve lived through the failure modes (training-serving skew, silent degradation, cost spirals) and built the systems to prevent them. Background in cloud-native orchestration and large-scale system design (Kubernetes, GPU scheduling, container orchestration) applied at global scale. History of improving developer experience for ML practitioners in ways that measurably changed how fast or reliably they shipped. Track record mentoring senior and staff-level engineers; evidence of elevating platform engineering judgment across an organization. Experience building ML platforms that serve multiple products or game titles simultaneously is a plus. Track record solving novel scale, latency, or reliability constraints in ML data pipelines is a plus. Background in ML governance, security, privacy-preserving techniques, or compliance at organizational scale is a plus. Passion for player experience, games, or creative technology. For this role, you will find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about players' experiences, this could be your role! Our Perks: Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information. At Riot Games, we put players first . That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application. It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act. Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories: Safeguarding confidential and sensitive Company data Communication with others, including Rioters and third parties such as vendors, and/or players, including minors Accessing Company assets, secure digital systems, and networks Ensuring a safe interactive environment for players and other Rioters These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security. (Los Angeles Only) Base salary range between $292,300.00 - $437,900.00 USD + incentive compensation + equity + 401K with company match + medical, dental, vision, and life insurance + short and long-term disability + open PTO.

Location: Remote: United States Workplace: Remote At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. APPLYING TO RENDER We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time. ABOUT THE ROLE Render is building a channel partnerships program from the ground up, and we're hiring our first Head of Revenue Partnerships to lead it — reporting to our VP of Revenue. You'll build Render's relationships with development agencies, PE firms, and — over time — systems integrators, to help Render customers who are migrating off competitive platforms, or who are pursuing new builds with Render. WHAT YOU'LL DO - Map partner types — agencies, PE firms, SIs — and determine which are the best fit for Render's product and customer base. - Build relationships with execs at partner firms to understand their priorities, pricing, and delivery models. - Develop commercial agreements with partners to co-sell Render alongside their own services, to both existing and net-new customers. - Develop Render-specific narrative and enablement materials: decks, pilot frameworks, ROI overviews. - Design co-marketing models with partners — customer dinners, digital campaigns, conferences, and joint events. - Work with our technology partner team to build a co-sell motion for large & enterprise accounts. - For partners with a portfolio model, like PE firms, design scaled activation programs — webinars, cohorts, office hours — that drive Render adoption across many portfolio companies at once, without requiring 1:1 touch on every account. - Drive the creation of new pipeline for both Render and the partner, and own the path from first engagement to partner-qualified referral to closed revenue. - Set up the operating rhythm of each partnership: regular engagement cadences, co-sell activity, and a clear, repeatable path from first call to referral. - Partner closely with Render's internal Sales and Delivery/CS leaders to align on how reps and partners work together, keep deal registration and pipeline hygiene clean, and avoid channel conflict with internal teams - Define and report on success metrics for the channel, evolving from early engagement signals toward pipeline and revenue impact as the program matures. - Build out a team of partner managers over time, dedicated to each partner type. WHAT WE'RE LOOKING FOR - 10+ years of experience in B2B partnerships, sales, GM/general management, or solutions engineering roles, ideally at a B2B SaaS, Infra or PLG company. - A generalist with strong seller DNA — someone who is outcomes-obsessed and comfortable being measured on pipeline creation, deal influence, and revenue, not just relationship-building. - Comfort building a program without a playbook: you can hypothesize, run small experiments, and iterate quickly rather than waiting for a fully-formed process. - Real experience working with solutions partners, agencies, or SIs — ideally in co-sell, referral, or partner-sourced revenue motions. - A proven record of getting deals done — willingness to travel, get in front of partners in person, and find creative ways to keep partners engaged and motivated. - Strong cross-functional operating skills — you'll work daily with Sales, Delivery/CS, Product Marketing, and Legal, and need to build trust and alignment across all of them. - Comfort operating at the executive level, both with partner leadership and internally at Render. - A technical enough orientation to credibly engage with developer-focused partners and speak to how AI is changing the questions partners are asking. NICE-TO-HAVES - Experience building or scaling a channel program at an infrastructure, dev-tools, or other PLG-motion company. - Familiarity with partner/ecosystem tooling such as Crossbeam, or experience running account mapping and pipeline reviews jointly with external partners. - Experience navigating the emerging AI SI / AI consulting partner category. If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. BENEFITS - 4 weeks of paid vacation. - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return. - Long-term disability, life insurance, and 401K plans. - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well. - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc. - Monthly cell phone and internet subsidy. - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. - Continuous learning benefits & related support. This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization. Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. We encourage all who are interested to apply. We can't wait to hear from you! Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view

Location: Remote; Seattle, WA; New York, NY; San Francisco, CA Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. ABOUT THE ROLE *Open to hiring remote across the US — we also have offices in New York, San Francisco, Seattle, London, Paris, and Tel Aviv. We're looking for a Designer, Growth (Product Marketing) to sit at the intersection of brand, performance marketing, and generative media. This is not a brand systems or campaign concepting role — it's a high-volume, output-driven design role. You'll own the visual execution of paid and performance marketing across video, motion, and static formats, producing assets that are on-brand, well art directed and built to convert. You'll report to the Creative Director of Product Marketing. Your work will directly shape how people first encounter and engage with Runway's products. That means producing scroll-stopping video ads, designing static and animated assets for paid social and display, and using generative tools — including Runway's own — as a core part of how you work. You'll partner closely with product marketing, growth, and creative teams, and you'll be measured on craft, throughput, and performance. WHAT YOU'LL DO - Design and produce high volumes of performance marketing assets across video, motion, and static formats — paid social, display, YouTube and beyond - Use Runway to ideate, create and iterate on video and image assets that are on-brand and well art directed — not just technically functional - Own the visual execution of ad creative from concept through final delivery, working from briefs or generating your own directions when needed - Produce motion graphics and animated ads that communicate product value quickly and compellingly - Partner with the Product Marketing and growth team to develop integrated ad concepts where copy and design work together - Build and iterate on creative variants for A/B and multivariate testing — adapting formats, hooks and visual treatments based on performance data - Maintain a consistent visual language across all performance touchpoints without letting assets feel templated or stale - Collaborate with product marketing on go-to-market launches, translating new product capabilities into visual stories that resonate with target audiences - Hands-on experience designing for the major paid channels (Meta, YouTube, LinkedIn, etc) with fluency in each platform's native specs, aspect ratios and ad formats, and a real point of view on what works where. - Own updates to GTM assets and templates, keeping them current and on-brand across campaigns. Bring hands-on experience building and automating deck design systems, so our presentations stay consistent without manual rework each time. - Contribute to a growing library of on-brand design components, motion templates and generative prompting strategies that raise the team's overall output velocity WHAT YOU'LL NEED - 4+ years of experience in performance marketing design, motion design, or a related role at a tech or consumer company - A portfolio that shows range across video ads, motion graphics and static performance creative — with clear evidence of craft and art direction judgment, not just execution - Strong motion design skills — you're fluent in After Effects, Premiere, or equivalent, and can produce polished animated and video assets independently - Solid graphic design fundamentals — typography, layout, color — applied to high-converting ad formats, not just editorial or brand work - Hands-on experience using AI image and video generation tools with an art director's eye — you know how to prompt, iterate and finish work that looks intentional - Comfort with performance data — you can look at creative metrics and know what visual changes to make next - Ability to operate at high velocity across multiple simultaneous campaigns without sacrificing quality - Experience working closely with growth marketers and product teams in a fast-moving environment - Experience in AI, creative tools or developer-adjacent products is a strong plus Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024

Location: Dubai Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! WHY THIS ROLE? We’re seeking an exceptional Customer Success Manager with deep expertise in the UAE private sector enterprise landscape to lead our most strategic accounts across these dynamic markets. This role requires an individual who understands both the transformative potential of frontier AI and the unique requirements of private sector organizations in Saudi Arabia and the United Arab Emirates. WHAT YOU'LL DO STRATEGIC CUSTOMER PARTNERSHIP - Own the success, adoption, and growth of Cohere’s UAE private sector customers, ensuring they realize maximum value from our AI solutions. - Build deep, trusted relationships with senior enterprise stakeholders, including CXOs, VPs, Directors, and digital transformation leads. - Develop comprehensive success plans tailored to each organization’s mission, digital strategy, budget cycles, and unique constraints. - Serve as the primary point of contact and executive sponsor for your accounts, managing escalations and ensuring customer satisfaction. - Define and track success metrics aligned with private sector priorities: ROI, revenue growth, operational efficiency, cost savings, and innovation outcomes. AI ADOPTION & IMPLEMENTATION LEADERSHIP - Guide customers through the full lifecycle of AI adoption—from use case identification and pilot design through production deployment and scaling. - Lead secure AI implementation projects in complex enterprise environments, including sensitive systems and on-premises deployments. - Navigate the unique challenges of UAE private sector AI adoption: legacy system integration, data sensitivity, regulatory compliance (UAE Labour Law, Saudi business regulations), and cultural considerations. - Create and execute change management strategies to drive user adoption and value realization across diverse enterprise workforces. - Conduct regular executive business reviews with senior stakeholders, demonstrating ROI, impact, and strategic value. - Drive contract renewals and account growth by consistently delivering value and building trusted relationships. CUSTOMER ADVOCACY & PRODUCT INFLUENCE - Serve as the voice of UAE private sector customers within Cohere, advocating for features and capabilities that address regional enterprise needs. - Provide strategic feedback to Product and Engineering teams on requirements related to security, explainability, Arabic language support, and ethical AI. - Contribute to the development of UAE-specific enterprise offerings, implementation playbooks, documentation, and best practices. - Share customer insights to inform Cohere’s regional go-to-market strategy and positioning. - Represent Cohere at regional business forums, industry events, and enterprise roundtables. YOU MAY BE A GOOD FIT IF REQUIRED EXPERIENCE - 8+ years of experience in customer success, account management, strategic consulting, or technology delivery roles within enterprise or private sector contexts. - At least 3-5 years working directly with UAE enterprises across industries such as finance, healthcare, logistics, or technology. - Proven track record of managing complex, strategic accounts with multiple stakeholders, long sales cycles, and multi-year implementation timelines. - Experience leading AI/ML, cloud, or enterprise software implementations in secure or highly regulated environments. - Experience developing and executing customer success strategies, QBRs, and executive engagement programs. - Deep understanding of how UAE enterprises evaluate, procure, and govern technology solutions. - Fluent Arabic and English language proficiency—essential for working across regional markets. - Strong knowledge of regional business culture, including relationship-building practices and hierarchical decision-making processes. REGIONAL EXPERTISE - Understanding of the UAE business environment: free zones, mainland companies, and multinational operations. - Knowledge of relevant regulations: UAE Labour Law (Federal Decree Law No. 33 of 2021), Saudi business regulations, and data protection frameworks. - Familiarity with national initiatives: Saudi Vision 2030, UAE Digital Transformation Strategy, and Smart Dubai. - Experience with regional cloud strategies and security frameworks. NICE TO HAVE - 3+ years specifically managing GenAI, LLM, or conversational AI implementations. - Experience with UAE enterprise digital transformation initiatives. - Direct experience with regional defense, financial services, or healthcare sectors. - Background in management consulting, systems integration, or digital transformation consulting for regional clients. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: Mapbox Germany Mapbox is the leading real-time location platform for a new generation of location-aware businesses. Mapbox is the only platform that equips organizations with the full set of tools to power the navigation of people, packages, and vehicles everywhere. More than 4 million registered developers have chosen Mapbox because of the platform’s flexibility, security and privacy compliance. Organizations use Mapbox applications, data, SDKs and APIs to create customized and immersive experiences that delight their customers.  The Maps API team builds and maintains the applications and infrastructure responsible for creating and distributing Mapbox maps https://www.mapbox.com/maps. Thousands of customers rely on our services to seamlessly handle billions of requests every day, scale in real-time to global events, and enable designers, developers, and analysts to make and share maps we’ve never dreamed of. Delivering maps means delivering a model of the world that’s changing all the time and needs to automatically support the world’s edge cases – writing systems, fonts, local regulations, and global boundary disputes. Our team maintains the highest-traffic read APIs at Mapbox and the distributed ETL pipelines used by internal and external customers to turn data into maps. We’re building new ways for people to visualize location data. Check out our Mapbox maps https://www.mapbox.com/maps! As AI becomes embedded in modern engineering workflows, we value engineers who can thoughtfully integrate AI into design, development, and decision-making. Our interview process will include discussion of how you use AI in your engineering workflow. WHAT YOU’LL DO As a Software Development Engineer III on the Maps API team, you will be responsible for balancing rapid development of new mapping tools against the reliability of our services as they scale into new request volumes, markets, and use cases. In a single week on the Maps API team, you might write application code robust to a world’s worth of data, build and deploy microservices, diagnose complex system behavior as global markets drive traffic in unexpected ways, or facilitate continuous delivery at Mapbox. In this role, you can expect to: - Lead your engineering team to identify and scope out well-defined tasks. - Execute on the scope and be accountable for delivering on time with quality. - Design systems and make architectural decisions that will keep pace with the rapid growth of Mapbox’s customer base. - Mentor your peers through 1:1s, facilitating design and code reviews, and providing continuous guidance to foster professional growth and technical excellence. - Promote a culture of operational excellence by meticulously testing and monitoring our systems and code, writing documentation, and being on-call to support the health of our services. - Reduce technical debt, share your knowledge, and invest in your teammates’ health and happiness, while optimizing application performance and accelerating feature velocity. - Uphold a culture of collaboration, transparency, creativity, inclusion, and data-driven decisions. WHAT WE BELIEVE ARE IMPORTANT TRAITS FOR THIS ROLE - Required Education/Certification: - Bachelors Degree in STEM discipline and 8 + years of experience building scalable high volume low latency backend services. - Technical Skills & Tools (Must-Haves): - Proficiency with Python, NodeJS, and native AWS (CDK, ECS, Step Functions, Lambda, S3, RDS, CloudWatch, CloudFront). - Familiarity with code versioning tools, such as GitHub. - Core Competencies & Scope: - Able to perform independently all the development tasks, based on designs and specs. - Self-starter who is communication and outcomes-oriented. - An empirical analytical approach. You develop strong hypotheses, conduct spikes, and clearly communicate your findings. - A desire to share your expertise through documentation, mentorship, pairing, and both written and verbal discussion. - A desire to work with and lead individuals with diverse backgrounds, perspectives, and experiences. - High quality mindset -- write unit tests, proactively remedy defects and follow through to production.   NICE TO HAVE TRAITS FOR THIS ROLE - Proficiency in C++ - Experience building mapping and geospatial related products. EMPLOYMENT REQUIREMENTS - Employment Type: Full-time - Weekly Hours: 40 h per week - Location/Hybrid Policy: Remote (from any city in Germany)   WHAT WE VALUE In addition to our core values https://www.mapbox.com/about/values/, which are not unique to this position and are necessary for Mapbox leaders: - We value high-performing creative individuals who dig into problems and opportunities. - We believe in individuals being their whole selves at work. We commit to this through supportive health care, parental leave, flexibility for the things that come up in life, and innovating on how we think about supporting our people. - We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company. - We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply. HOW WE SUPPORT YOU - Hybrid/Remote Options: Enjoy flexibility to work comfortably from home or periodically from an office where applicable. - Country-Specific Care & Coverage: Private health, dental, and income protection plans tailored to elevate your regional statutory benefits. - Family-First Support: Family care, maternity and paternity leave policies to support your growing family. - Lifestyle Spending Account: Contributions to support your health, wellness, and personal growth - Balance & Brainpower: Mental health support for you and your dependents. - Rest & Recharge: Paid time away, company holidays, and generous absence policies. - Time Off to Give Back: Dedicated paid volunteering time in addition to your standard PTO. By applying for this position, you acknowledge that you have received the Mapbox Non-US Privacy Notice https://www.mapbox.com/legal/applicant-privacy-notice/ for applicants, which is linked here. Completing this application requires you to provide personal data, such as your name and contact information, which is mandatory for Mapbox to process your application. We are committed to a fair and equitable hiring process. We do not discriminate against any protected class. #LI-Remote

Location: Remote (USA) Workplace: remote Arcadia is dedicated to happier, healthier days for all. We believe that there is a better healthcare world – one powered by data. Our platform transforms complex, diverse data into a unified foundation for health, helping organizations deliver better care, boost revenue, and lower costs.   We’re a team of fiercely driven individuals committed to making healthcare more sustainable—and we’re looking for passionate people to help us get there.   For more information, visit arcadia.io.     Why This Role Is Important to Arcadia Analytics sits at the center of how Arcadia turns complex healthcare data into better outcomes and smarter decisions. On the product side, that means building and owning the productized analytics engines — risk, medical economics, episodes-of-care, and more — that power Arcadia's platform company-wide, built once and delivered at scale across our entire customer base. On the Customer Insights side, that means going deep on a specific customer's specific problem: custom data models, bespoke dashboards, advisory work, and long-running embedded programs that don't fit a one-size-fits-all product. We describe Customer Insights' work as sitting between a platform and a plan — more customized and hands-on than an off-the-shelf reporting product, more flexible and embedded in the customer's actual decisions than a traditional outsourced consulting engagement. We're currently hiring for several closely related analyst roles across this broader Analytics organization — spanning ownership of one of Arcadia's core analytics engines, program-specific analytical development for a major state Medicaid risk-stratification initiative,  a ground-up registry build for a national quality organization, versatile project and retainer delivery across our health system and payer customers, and dedicated analytics support for a major national health plan's Medicaid program. All of these roles sit at the Senior Analyst or Lead Analyst level, combine technical excellence with real influence over analytic strategy and (for some placements) product direction, and shape how Arcadia and its customers use data to improve population health outcomes, reduce costs, and enable smarter healthcare decisions. The skills and experience below are characteristic across these roles as a set — not every requirement applies to every specific seat, and we don't expect any one candidate to bring all of it. We'll work with you during the interview process to identify which role is the best fit for your background and interests. What Success Looks Like In 3 months Ramp into your specific engagement's data model, technical stack, and stakeholder relationships — most Customer Insights engagement has real history and context to build into, not a blank slate Learn Arcadia's core analytics platform and toolset (QuickSight, Foundry, dbt, the AWS ecosystem) as used in your engagement Deliver your first piece of analytical work that demonstrates clear value to your engagement's stakeholders  In 6 months Own meaningful pieces of delivery independently — whether that's a program's analytical development, a portfolio of retainer/project work, or a dedicated account's dashboarding and reporting Be a credible, independent presence in front of the customers or partners tied to your engagement Contribute to at least one reusable analytical asset, framework, or automation that extends beyond your immediate engagement Begin taking on the ongoing health of your area, not just its delivery — standing up a backlog/tech-debt process, or growing into a broader backup role alongside your engagement's primary owner, depending on placement In 12 months      Be a recognized expert in your engagement area, trusted with its most complex or ambiguous work  Actively identify and pursue opportunities for automation, scalability, and reuse across your work Have grown into deeper ownership than where you started — full backup or co-owner on an account, sole steward of a program's tech-debt and backlog, or, for analytics-engine placements, the architect shaping that engine's roadmap toward being market-leading What You'll Be Doing Technical Analytical Delivery Translate ambiguous or partially-scoped business and clinical questions into a concrete, buildable data plan, then build the underlying data model, code, and analysis on top of it Develop and maintain analytical pipelines and reusable data assets using SQL, dbt, and Arcadia's core data platform (Foundry, AWS data lake environments) For analytics-engine placements: serve as the lead analytics strategist for at least one of Arcadia's productized analytics engines (e.g., risk, medical economics, episodes-of-care), owning it end-to-end while contributing to others For engagements involving predictive or risk models: design and build the models, partnering with a dedicated Data Science team on training and validation — a consultative relationship, not a daily modeling partnership Build dashboards, provider scorecards, registries, self-service reporting tools, benchmarking views, and other analytical deliverables (QuickSight and beyond) on top of that modeling work, as the engagement calls for it Maintain the analytical integrity and quality of your work, flagging issues before they reach a customer or partner; for senior placements, oversee analytic quality standards and rigor across engagements more broadly, not just your own Program and Project Management Manage delivery — whether that's a single program's delivery calendar and decision log, or a portfolio of concurrent projects across multiple customers — surfacing risks and tradeoffs before they become blocking issues Create client-facing materials — status decks, decision memos, technical explainers — tailored to a range of stakeholders, from highly technical counterparts to policy or business stakeholders with limited technical background Delegate routine or repeatable work to junior analysts as your engagement grows, and help cross-train others for coverage Lead cross-functional analytic initiatives that span multiple teams or engagements Customer and Cross-Functional Partnership Serve as a primary or supporting day-to-day contact for your engagement's customers or delivery partners, navigating scope and timeline conversations directly Partner with Customer Management, Growth, Product, Technical Operations, and/or Engineering — depending on placement — on account strategy, product direction, or analytics roadmap; for analytics-engine placements, partner closely with product and engineering to deliver Arcadia's analytics roadmap and contribute directly to product innovation Hold real authority at the boundaries where your work meets someone else's — able to require rework or hold a handoff that isn't ready (e.g., with a partner Data Science team), or push back on what's actually worth building with Customer Management, Growth, or Product , rather than defaulting to whatever's asked Act as an internal thought leader on your area of expertise, contributing to Arcadia's broader analytics strategy and reusable methodology — and, for some placements, an external one, representing Arcadia's analytic capabilities at customer meetings, industry conferences, and in publications Team Contribution Mentor and develop junior analysts, building organizational capacity beyond your own individual delivery Take ownership of your area's long-term health, not just its immediate delivery — a backlog/tech-debt log, a growing backup role on an account, or a roadmap for an analytics engine, depending on placement Apply AI tooling as a standard part of your workflow — analysis, QA, documentation — not an occasional accelerant Identify opportunities for automation, scalability, and reusability in analytical delivery, and help build those improvements out What You'll Bring Strong SQL and data modeling expertise — able to translate ambiguous business or clinical requirements into a concrete data plan, then build the underlying code and analysis on top of it Healthcare data experience — claims and/or clinical data, with value-based care familiarity Direct customer- or partner-facing experience — comfortable scoping and presenting without close oversight Comfortable adopting AI tooling as a standard part of an analytical workflow For Lead-level placement: demonstrated experience leading analytical work independently, managing multiple stakeholders, and mentoring less experienced analysts Note: our experience bar across these roles generally skews toward Lead-level expectations, even for some Senior Analyst placements — but not every skill listed here or below applies to every specific seat. Would Love For You To Have Experience with dbt-based analytics engine development (e.g., risk, medical economics, episodes-of-care) and partnering with product/engineering on roadmap Dashboarding experience — QuickSight or a comparable BI tool Enough quantitative/ML fluency to build models and hand them to a Data Science team for training Experience with medical economics, risk algorithms, quality data, and/or episodes-of-care analytics Statistical or biostatistics fluency — risk-adjustment, odds-ratio, or observed-to-expected benchmarking, etc. Direct experience with clinical quality or accreditation registries Prior experience with state Medicaid programs or similar large government health programs Prior experience in a project-based/retainer delivery model spanning multiple customers, rather than a single dedicated account Experience working within a prime contractor or partner structure on shared delivery Experience presenting analytic capabilities externally — customer meetings, industry conferences, publications Python for analysis and QA; familiarity with the AWS ecosystem, Jira, and Confluence Experience with data governance or data-product/monetization considerations Note: this list spans skills relevant to several different roles across the Analytics organization — we don't expect any given candidate to have all of them. Bring what you have; we'll talk through the rest during the interview process. What You'll Get Become a member of the talented, energized, diverse and purpose-driven Arcadian Community with decades of collective experience in population health, product development, and data science Employee driven programs and initiatives for personal and professional development A flexible, remote-friendly company with personality and heart Competitive compensation and strong benefits, including Flexible Time Off The opportunity to: Own real, high-stakes analytical work across some of Arcadia's most complex customer relationships and highest-visibility internal analytics products Work across a genuinely varied set of problems — deep technical program ownership, versatile multi-account delivery, or company-wide analytics engines, depending on placement Build models and analytical assets that directly shape care and coverage decisions for the members and patients they serve Senior Analyst: $125,000 – $145,000 a year Lead Analyst: $145,000 – $170,000 a year About Arcadia Arcadia.io helps innovative providers and payers across the country transform healthcare to reduce cost while improving patient health. We do this by aggregating large amounts of disparate data, applying algorithms to identify opportunities to provide better patient care, and making those opportunities actionable by physicians at the point of care in near-real time. We are passionate about helping our customers drive meaningful outcomes. We are growing fast and have emerged as a market leader in the highly competitive population health management software market and have been recognized by industry analysts KLAS, IDC, Forrester, and Chilmark for our leadership. For a better sense of our brand and products, please explore our website. Protect Yourself If you have concerns about the authenticity of a job offer or recruitment-related communication claiming to be from Arcadia, we encourage you to verify by contacting us directly at (781) 202-3600 and select option 3. For more information, visit our website. This position is responsible for following all Security policies and procedures in order to protect all PHI under Arcadia's custodianship as well as Arcadia Intellectual Properties.  For any security-specific roles, the responsibilities would be further defined by the hiring manager.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Business Development Representative at Anthropic, you'll drive the adoption of safe, frontier AI by optimizing our lead management processes and identifying new market opportunities. In this pivotal role, you'll enable our sales team to focus on high-value, revenue-generating activities by leveraging your analytical skills, project management expertise, and strategic thinking. Your role is critical in streamlining our sales pipeline and uncovering untapped potential in the AI market. Responsibilities: Maintain full ownership of pipeline generating activities in your sales territory Collaborate with sales teams to understand their needs and optimize lead handoff processes Manage and prioritize a high volume of inbound leads Conduct initial qualifications for high-potential leads Outbound against strategic prospects to generate high-intent opportunities with Startup and Enterprise teams Support the development and execution of strategic outbound initiatives Provide data-driven insights to inform sales strategies and resource allocation Continuously refine processes to improve efficiency and effectiveness You may be a good fit if you have: 2-3+ years of experience in a fast-growing startup, preferably in lead management and project management roles or 2-3+ years of experience in a field like finance & investment banking, consulting or software engineering Strong analytical skills with the ability to translate data into actionable insights Experience with Salesforce, HubSpot, and SQL (preferred) Excellent communication and interpersonal skills Ability to work in a fast-paced, dynamic environment Passion for AI/ML and understanding of API-first or consumption-based business models Bachelor's degree in Business, Marketing, Computer Science, or related field 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: $116,480 — $131,040 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote-Friendly, United States About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Training and serving frontier AI models requires compute infrastructure at a scale and density that pushes past what conventional data center designs were built to handle. Anthropic’s Data Center team is responsible for delivering that physical infrastructure — partnering with build partners, equipment manufacturers, and vendors to stand up facilities that can reliably cool some of the largest accelerator clusters in the industry. As a Senior Data Center Mechanical Engineer based in the United States, you’ll lead the design direction and technical oversight of building mechanical systems — cooling, chilled-water distribution, liquid cooling, plumbing, and fire protection — across our rapidly expanding U.S. portfolio. This is a senior individual contributor role focused on driving and reviewing mechanical design from concept through detailed design and construction documentation produced by external engineering firms and development partners, ensuring every facility meets Anthropic’s standards for reliability, efficiency, and scalability. You’ll own the mechanical design direction from Basis of Design through construction and commissioning, serving as the primary technical interface between Anthropic’s internal teams and our external engineering and development partners. A central part of this role is speed-to-capacity through prefabrication and modular construction — modular cooling skids, prefabricated piping assemblies, and design for offsite manufacture that compress schedules and reduce onsite labor. You’ll bring deep familiarity with U.S. mechanical, plumbing, and fire codes and the local regulatory environment, and ensure the cooling architecture keeps pace with rapidly increasing rack densities and the shift toward direct-to-chip liquid cooling. Strong candidates will bring deep mission-critical mechanical design experience and the judgment to make sound trade-offs when the standard playbook doesn’t apply. Responsibilities Design direction & review Drive mechanical design concepts for data center cooling plants, chilled-water distribution, liquid cooling (direct-to-chip and CDUs), plumbing, and fire protection systems. Review and direct design drawings, specifications, and construction documentation produced by external engineering firms, ensuring alignment with Anthropic’s Basis of Design and owner requirements. Evaluate design submittals, shop drawings, and equipment selections; respond to RFIs with clear technical direction. Identify design conflicts and drive resolution across mechanical, electrical, and controls disciplines. Maintain and evolve Anthropic’s internal mechanical design standards and reference configurations. Prefabrication & modular delivery Drive Anthropic’s prefabricated and modular mechanical strategy — modular cooling skids, prefabricated piping and pump assemblies, and design for offsite manufacture and onsite assembly — to accelerate deployment and reduce onsite labor. Drive standardization of modular mechanical designs across sites while preserving flexibility for site-specific constraints and evolving hardware generations. External partner & vendor coordination Serve as the primary mechanical engineering point of contact for external developers, design engineers, and construction partners across the U.S. portfolio. Develop scopes of work, equipment specifications, and bid packages for mechanical infrastructure. Perform technical due diligence on third-party and colocation facilities, evaluating mechanical designs against program requirements and redundancy targets. Coordinate with equipment vendors and manufacturers on cooling system procurement, including chillers, CDUs, pumps, and piping assemblies, and partner with supply chain to mitigate lead-time and single-source risk. Construction & commissioning Monitor mechanical system installation for compliance with design intent, applicable U.S. codes and standards, and industry best practice. Conduct site visits to review progress, resolve field issues, and validate construction quality; travel to sites across the region as needed. Support testing and commissioning of mechanical systems; analyze data and troubleshoot issues against design intent. You may be a good fit if you Have 10+ years of experience designing building mechanical systems for data centers or mission-critical facilities, across the project lifecycle from concept design through construction, commissioning, and handover. Have deep familiarity with U.S. mechanical, plumbing, and fire codes and standards — including the International Mechanical Code (IMC), International Plumbing Code (IPC), International Energy Conservation Code (IECC), International Building Code (IBC), NFPA 13 (automatic sprinkler systems), ASME B31 piping codes, and applicable state and local amendments, alongside ASHRAE guidance (incl. TC 9.9). Have strong knowledge of chilled-water systems, air-cooled cooling plants, liquid cooling (direct-to-chip and CDUs), and redundant piping configurations. Have hands-on experience with prefabricated and modular mechanical infrastructure — modular cooling skids, prefabricated piping assemblies, and design for offsite manufacture. Have experience driving and reviewing mechanical design work produced by external engineering consultants, and are proficient reading and marking up construction drawings, P&IDs, and single-line diagrams. Hold a bachelor’s degree in Mechanical Engineering; a Professional Engineer (PE) license (or eligibility) is valued but not required. Communicate clearly and can drive technical decisions across internal teams and external partners, and are results-oriented with a bias toward practical solutions. Are able to travel up to ~30% to data center sites across the region. Strong candidates may also have 15+ years of experience designing building mechanical systems for data centers or mission-critical facilities. Direct project experience delivering data centers in multiple U.S. markets (e.g., Virginia, Ohio, Texas, Arizona, Oregon). Experience with thermal-hydraulic modeling software (AFT Fathom, Cadence 6SigmaET, ANSYS, or similar), CFD modeling, and energy analysis. Familiarity with controls/BAS systems and sequences of operation for cooling plants. Experience preparing SOWs, facility audits, and TCO analyses. A track record building modular prefabricated products in mechanical or electrical areas of the data center, and driving designs toward offsite manufacturing. Proficiency with Revit MEP or AutoCAD MEP. 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic's R&D teams depend on a large and fast-growing ecosystem of outside service providers. The biggest and most complex piece of it is Human Data Operations (HDO): vendors that supply the human-generated data, evaluations, and expert feedback our research depends on. Alongside HDO is a growing set of other R&D services, including labs, outsourced and outsourced service providers, and other specialized service partners that our research and special-initiative teams rely on. We are hiring a Strategic Sourcing Business Partner to own the commercial side of this portfolio. Today these vendors have business owners and Procurement Operations support, this role will drive real ownership of the commercial terms end to end including contracts redlines, deployment of contract templates, and the negotiation.. There is significant untapped value in this portfolio (in pricing, in contract terms, and in vendor performance), and this role exists to go get it. The job has four parts: run the contracts (redlining, templates, and renewals). This person will lead the commercial negotiations, partnering with the business to positively influence decision-making and deal structure, and manage vendor performance once the deal is signed. Success means moving fluidly between the deal and the relationship: negotiating strong terms, then executing against them through QBRs, SLA enforcement, and escalations as our needs change. We use Claude as part of our daily workflow and are looking for someone who wants to help define what an AI-native sourcing function looks like, including how AI changes deal-making and vendor management itself over the next few years. How this role fits within Procurement Procurement Ops Business Partners own the primary relationship with each business vertical and are the front door for intake and day-to-day requests. Strategic Sourcing partners closely with them and owns the commercial outcome: negotiation strategy, contract terms and redlines, contract compliance, ongoing vendor performance, and sustained value creation for the leaders of these verticals working closely day to day with Legal (legal positions, templates, terms), Finance & Strategy (budgets, forecasts, and strategy), and Security / TPRM (risk assessment, approvals, process). Responsibilities Contract management and templates Own the commercial redline for HDO and R&D services agreements (MSAs, SOWs, order forms, amendments, and renewals), partnering with Legal on legal terms, so deals move quickly while maintaining negotiation posture Build and maintain the template library for these categories (standard MSA and SOW templates, pricing exhibits, SLA schedules, and a fallback playbook) so that most deals start on our paper rather than the vendor's Run the renewal calendar for the portfolio so that no agreement auto-renews or lapses without a deliberate commercial decision Keep contract data (rates, volume commitments, SLAs, key dates) current in our contract and intake systems so obligations are visible and enforceable Negotiations and commercial strategy Lead pricing and commercial negotiations across the portfolio, from strategy and deal structure through terms, SLAs, and executive alignment; you will personally run the ones that matter most Build playbooks and Claude-powered tools for redlining, negotiation prep, benchmarking, and vendor reporting that raise the throughput and deal quality of the whole team Design pricing structures that fit how R&D actually consumes these services (per-unit, per-hour, capacity, tiered, and committed-volume models) and that align vendor incentives with quality and throughput Build and maintain a competitive bench for every mission-critical category via RFPs and competitive processes: qualified second sources, contracts structured so volume can move as needed, and flexible pricing constructs Track and report savings, cost avoidance, and improved terms for the portfolio Vendor management and value creation Own the vendor management cadence for mission-critical vendors: QBRs, scorecards, SLA and quality reporting, and remedies when performance slips Manage escalations between R&D teams and vendors and drive them to resolution Identify consolidation, rationalization, and renegotiation opportunities as volumes shift, and bring executive-ready recommendations to R&D and Finance leadership Manage TPRM, security, and compliance approvals, audit rights, and data-handling terms in partnership with Security and Legal Relationships & Partnership Partner with Procurement Ops BPs and leadership in R&D and special-initiative teams to understand upcoming needs and growth, and get vendor capacity and terms in place ahead of them Partner with Finance & Strategy on vendor budgets, forecasts, and multi-year cost models for the portfolio You may be a good fit if you have 7+ years of strategic sourcing, category management, vendor management, or commercial negotiation experience, primarily in services categories (data services, BPO or outsourced operations, lab or research services, managed services, staffing, or similar) Hands-on contract experience: you have personally redlined MSAs and SOWs, built templates and fallback positions, and know where the commercial value sits in a services contract (pricing exhibits, volume commitments, termination rights, SLAs and remedies, IP and data terms) and when to bring in Legal A track record of personally leading multi-million dollar services negotiations to strong outcomes, not just managing the process around them Judgment about where leverage lives and how hard to use it: you can look at a portfolio of many vendors and many concurrent deals and know which ones deserve a deep negotiation and which need a fast, standard path, and you have a reputation with past vendors and colleagues for being commercially tough and fair with partners that need to scale with us Strong analytical skills: rate and unit-cost analysis, TCO modeling, and pricing model design; you can find the real economics underneath a vendor proposal Services vendor management experience: SLAs, scorecards, QBRs, and escalations, and how to enforce them without damaging the relationship Comfort operating at pace: high deal volume, ambiguity, imperfect information, and a bias to execute rather than perfect Clear, direct communication with executives internally and across the table, including in difficult conversations and escalations Fluency with AI tools in your daily work and demonstrated experience in rebuilding your own workflows around them Strong candidates may have Experience sourcing human data, data labeling, annotation, or evaluation vendors, or comparable BPO and outsourced operations categories, and a point of view on where that market is heading Experience sourcing lab services, scientific equipment and consumables, robotics or hardware services, or other technical services for a research organization Experience at a hypergrowth company renegotiating or restructuring vendor pricing and contract structures under the growth curve Experience standing up sourcing coverage for a category from scratch (templates, playbooks, benchmarks), not just operating within an established program Experience designing vendor scorecards, SLA frameworks, and performance management programs Familiarity with the confidentiality, data-handling, and IP terms that matter for research and data vendors A point of view on how AI will change services vendor relationships and negotiations, backed by things you have actually tried 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: $190,000 — $230,000 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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: Montréal We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. Job Overview Join Hasbro as a Systems Specialist for a maternity leave replacement (12 months) and become an integral part of our innovative team in Longueuil, QC, Canada. This outstanding opportunity will enable you to work on developing, improving, testing, and maintaining the system environments that support our creative and product development. You’ll work closely with experienced professionals to keep our systems running reliably and efficiently. Location and Work Arrangement This role is based at our Montreal, Quebec, Canada office and follows a hybrid schedule designed to support in-person collaboration. Employees are expected to work onsite on Tuesdays, Wednesdays, and Thursdays, with the flexibility to work remotely or onsite on Mondays and Fridays. What You'll Do Develop, improve, and test automated workflows supporting the development of products, digital, and printed assets. Support User-Acceptance-Testing of new or updated workflows by fixing errors and implementing testers’ change requests. Propose and build solutions to help systems’ day-to-day users manage their workload and measure their performance through data dashboards. Build searches to pull data from systems to support reports developed or used by day-to-day users and Data Analysts. Develop training materials and conduct training sessions for new system users. Collaborate with Digital Content Specialists to define and apply conventions and guidelines for maintaining an organized and secure systems environment. Identify new system features to improve day-to-day users’ efficiency and share with Process Managers and Digital Content Specialists. What You'll Bring Excellent analytical skills and ability to solve problems. Ability to understand complex processes and transform them into automated workflows. Organizational skills with high attention to detail. Ability to prioritize competing tasks and meet deadlines. Autonomous, self-motivated, and innovative demeanour. Good communication and interpersonal skills. A Bachelor’s degree in computer science or a related field, or equivalent experience. Demonstrated ability working with information or automated workflow platforms such as Esko WebCenter, Adobe Workfront, Monday.com, Power BI, Power Automate. Demonstrated ability with product/creative development processes of consumer products. Professional proficiency in French and English is required for this role. English is necessary to communicate and collaborate regularly with colleagues and leaders based in the United States who primarily work in English. What Sets You Apart Knowledge of Java scripting. Who We Are We’re a team of creators, storytellers, and innovators united under the Hasbro family and home to beloved brands, AAA digital games studios and immersive experiences that spark imagination across generations. Together, we’re committed to a culture rooted in creativity, excellence, curiosity, and inclusion, and where every employee is empowered to think boldly, act with integrity, and spark joy for all. Hasbro About the Company – Hasbro Wizards of the Coast Who We Are – Wizards of the Coast Equal Opportunity Hasbro is committed to equality of opportunity in all aspects of employment. We are committed to making all employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, or any other legally protected status. Accommodations If you have a disability and need reasonable accommodation during the hiring process, please inform your recruiter anytime throughout the process. Notice Regarding Hasbro’s use of AI in the Recruitment Process We use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements. How it works: Talent Matching compares information from your resume and application responses with job-related criteria established and weighted by Hasbro’s recruiting and hiring teams. Depending on the role, these criteria may include relevant skills, work experience, prior job titles, and industry experience. The tool then assigns a match category to help organize applications for review. Human oversight: Talent Matching supports — but does not replace — human review. It does not automatically advance or reject candidates or make employment decisions. Hasbro’s recruiters and hiring managers review applications and remain responsible for all hiring decisions. Greenhouse has published the results of an independent bias audit of Talent Matching. View the Greenhouse Talent Matching audit results . Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: Health & Wellness Time Off to Recharge Financial Well-being Life & Family Support Volunteer and Community Initiatives Learning & Development Exclusive Perks Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.

Location: 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 As a Migration Engineer for GitLab Dedicated, you'll partner with customers to plan and deliver migrations from self-managed GitLab to GitLab Dedicated. You'll use GitLab Geo to replicate customer data and move customers onto fully managed, isolated GitLab environments with minimal disruption. You'll balance hands-on technical delivery with clear communication and project ownership, translating each customer's goals, timelines, and constraints into a practical plan and guiding them through cutover and validation. You'll use infrastructure as code and configuration as code practices, Kubernetes, cloud platforms, and network design to work within existing GitLab Dedicated environments. You'll also improve the tooling, scripts, and runbooks that make migrations repeatable and reduce manual work, while sharing insights from customer engagements with GitLab's Product and Engineering teams. Lead migrations from self-managed GitLab to GitLab Dedicated using GitLab Geo to replicate customer data Design migration runbooks and automation for repeatable cutovers, and validate target environments built with Terraform, Ansible, and Kubernetes What you’ll do Deliver customer migrations from initial assessment through planning, replication, cutover, and post-migration validation. Use GitLab Geo to replicate customer data, debug synchronization issues, identify root causes, and keep migrations on track. Design customer network connectivity within GitLab Dedicated constraints, including virtual private clouds, private connectivity, Domain Name System configuration, and firewall rules. Apply infrastructure as code and configuration as code practices to interact with and validate existing GitLab Dedicated environments. Advise customers on migration sequencing, cutover windows, integration requirements, risks, and clear next steps. Improve migration tooling, scripts, and runbooks to make delivery more reliable, repeatable, and efficient. Partner with Professional Services, Environment Automation, Product, and Engineering to resolve blockers, share field feedback, and keep delivery consistent. Manage multiple customer engagements while balancing customer outcomes, delivery priorities, and share technical knowledge with other engineers. Take part in on-call or operational support where your team’s ownership model requires it. What you’ll bring Experience delivering customer-facing migration, installation, training, or technical advisory engagements. Experience using, deploying, or configuring GitLab, with a solid understanding of Git and source control workflows. Experience with infrastructure as code or configuration as code tools such as Terraform, Ansible, Packer, Puppet, or Chef. Hands-on experience running Kubernetes workloads in production, including deployments, rollouts, and debugging crash loops, failed health checks, and scheduling issues. Experience with a major cloud provider such as Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure, along with working knowledge of network design and connectivity. Ability to read, understand, and modify infrastructure tooling, with familiarity in languages such as Go, Python, or Ruby. Ability to independently lead multiple customer projects, communicate clearly in written and spoken English, and build agreement in a remote, largely asynchronous environment. PubSec/Federal experience a plus. A solution-oriented approach, effective cross-functional collaboration, and a commitment to GitLab's values. Experience with GitLab Geo and replication is helpful, but deep expertise can be developed in the role. About the team Migration Engineers are part of GitLab's Dedicated Infrastructure organization. We work with Sales, Professional Services, Environment Automation, Product, and Engineering to coordinate delivery, resolve customer needs, and share field feedback that improves GitLab features and delivery practices. We work remotely and largely asynchronously across regions and time zones, with a focus on reliable delivery and long-term customer success. 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 $126,400 — $213,600 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: Remote About GiveDirectly What if the most effective way to fight poverty was also the simplest: give people money and trust them to decide what they need? Since 2011, GiveDirectly has proven that idea at scale. We’ve delivered more than $1B in cash directly to 2+ million people living in poverty and crisis across 15 countries, and rigorous research shows the results: healthier kids, stronger businesses, sturdier homes, and more resilient families and local economies. Cash is now widely recognized as one of the most scalable, cost-effective, and dignified forms of aid. Our ambition goes beyond our own programs. We want cash to become the benchmark for aid, much as the index fund became the benchmark for investing, so that every aid dollar is held to one question: is this doing more good than giving the money directly to people living in poverty? We’re growing fast, and this is a rare and important moment to join. We expect to hit $1B in revenue in 2026 with significant growth forecast for 2027. At the same time we are building a new technology stack and operating model designed for a roughly 10x change in scale, and we are actively pursuing partnerships with major funders to move even more money in bigger ways, to people who need it. We are known for our extensive integration of technology into field processes; our quantitative approach to performance measurement; and our commitment to rigorous, independent, experimental evaluation of our impact, with multiple Randomized Control Trials completed and others in progress. How we work Our team spans 20+ countries and 69 languages. Our culture is candid, analytical, and non-hierarchical. We expect high ownership and give people real responsibility early. Our values are central to how we hire, work, and grow, and they are deliberately opinionated: Recipients first. Recipients’ preferences come before those of donors or ourselves. Team next. We optimize for organizational success, not individual success. Be proactively candid. We say what we believe and share information openly. Create positive energy. We aim to be a source of energy for colleagues, not a drain. Think rigorously; act quickly. We reason from first principles, then act rather than debate. Know yourself and grow. We own our imperfections and seek feedback to grow. Accept reality. Propose solutions. We focus on what can change and bring solutions, not just problems. Be productively ambitious. We take risks for step-change impact, not incremental progress. If they describe how you like to work and they energize you, this could be a great fit. Want to learn more? Read and listen: We are one of Time100’s Most Influential Companies of 2026, and our work has been covered by The Economist , NPR , TED , and The Washington Post . We're now preparing to deliver billions of dollars a year to people in extreme poverty, if funding allows. Read our CEO's essay on what that will take. Priority application deadline: Applications will be reviewed on a rolling basis. Early applications are heavily encouraged. We’re growing at incredible speed, and expect to hit $1B in revenue in 2026 with significant growth forecast for 2027. We’re hiring a Chief Technology Officer to lead the building and rebuilding of the technology, systems and ways of working that will enable a sustained $5B+ p/a operation. You will build software that safely and securely moves billions of dollars to millions of vulnerable people in some of the poorest and highest need parts of the world. This will require applying excellent engineering, team building and organizational judgment to complex, high-stakes operations: identity and fraud management, machine learning on large but imperfect datasets (cell phone data, satellite imagery, government registries), mobile money integrations, low-connectivity environments, rapidly evolving requirements all in diverse regulatory environments and country contexts. You’ll need to keep our legacy technology stack stable and performant, while in parallel building new systems from the ground up for our next level of scale. You will lead engineering, data, security and enterprise technology – with a small, mighty and rapidly growing engineering team of ~15, and the expectation that this can at least double to ~30 in the next 12 months if you want it to. You’ll report to a CEO with deep experience running technology companies, and partner with our VP Product. This role is remote, with working hours between US Eastern Time and East African Time, and some preference for candidates in our office hubs of New York, London, or Nairobi. What we’re looking for: An exceptional hirer, manager and organizer of technical talent. Proven record identifying, hiring, developing and retaining excellent engineers and engineering leaders, and creating team processes that consistently deliver software with quality and velocity. Deep technical judgment, applied close to the work. You can evaluate major designs, pressure-test architecture and build-vs-buy decisions, and recognize when a team is heading the wrong way, without becoming the primary implementer. Low-ego: you’ll investigate a problem yourself when that’s what the situation requires. Business judgment and decisiveness under ambiguity. You’re not just a technical leader, you’re also a business executive. You understand the business, are a strong cross-functional partner, and have a history of good judgment when navigating tradeoffs of long vs. short term, speed, reliability, security, flexibility, cost, technical quality, and user impact. AI first. You have a point of view on where AI meaningfully changes engineering productivity and organizational capability, and you’ve moved a team from experimentation to real, measured use. You can set the tools, culture, goals, and guardrails that leverage the opportunities and mitigate the risks of an AI first engineering culture. Embody and set an example for GD values. We take our values incredibly seriously, and expect our leaders to embody, nurture, and promote them in the way they work and the teams they build. Advantages, not requirements. Experience in an operationally complex or regulated domain (fintech, payments, humanitarian response, global development); systems involving financial controls, fraud risk, identity, or sensitive recipient data; operating across multiple countries, particularly lower-income or infrastructure-constrained ones; leading both modern product engineering and enterprise technology. What you’ll do Define our technology vision and target stack. Own the technical strategy for technology-first delivery at $5B+/year: architecture, platforms, build-vs-buy, and what we retire. Work with executive, product, finance, risk, and data leaders to turn program and product strategy into a sequenced, credible portfolio of technical investments. Balance a demanding portfolio. You'll manage six workstreams that all matter and won't all move at once: (1) building our new cash delivery stack (remote-first verification, fraud prevention, massive volume) (2) stabilizing our legacy stack until switchover, then managing the migration; (3) donor-facing fundraising products; (4) our global emergency cash system (and eventual white-labelling of that product); (5) enterprise technology; (6) internal tooling, platform, and cybersecurity. Deciding sequencing and staffing across these (and saying "not yet" credibly) is the job. Build and grow an exceptional technology organization. Recruit outstanding engineering and technology talent, design the org GiveDirectly needs at its next stage of scale (engineering, product, data, security, infrastructure, enterprise systems), and create the accountability, decision rights, and career paths to sustain high talent density. Grow the engineering team from 15 to ~30 with a lean but durable management structure. Own the technical direction and quality bar. Guide consequential decisions on integrations, data, security, reliability, and technical debt. Ensure our systems can safely support a major increase in transaction volume, geographic reach, and organizational dependence on technology. Set a pragmatic quality bar appropriate to high-stakes financial delivery while preserving speed. Lead across organizational boundaries. Serve as a member of GiveDirectly’s executive team, reporting to the CEO and bringing technology into major strategic and operating decisions. Help non-technical leaders understand technical constraints and costs, build credibility with country and functional leaders by understanding their realities, and force clarity when priorities, ownership, or tradeoffs are ambiguous. Travel. Approximately 4–6 trips per year, including visits to GiveDirectly countries of operation. Compensation At GiveDirectly, we strive to pay our employees generously and equitably. We use an accredited third party salary aggregator to calculate what we believe to be competitive pay based on role, location, and cost of living. We also have a no negotiation policy so pay is consistent across comparable roles. Total Compensation (US) of $366,000 – $518,000 comprised of: Base Salary: $300,000 – $375,000 Bonus: $45,000-$112,000 (bonus is % based and decided based on org-wide performance, we will share full methodology during the hiring process) Annual Benefits Stipend: ~$21,000 Total Compensation (UK) of £225,000 – £317,000 comprised of: Base Salary: £193,400 – £241,700 Bonus: £29,000 – £72,500 (bonus is % based and decided based on org-wide performance, we will share full methodology during the hiring process) Annual Benefits Stipend: £2,760 Total Compensation (Kenya) of $333,000 – $467,000 comprised of: Base Salary: $282,500 – $353,100 Bonus: $42,000 – $106,000 (bonus is % based and decided based on org-wide performance, we will share full methodology during the hiring process) Annual Benefits Stipend: $8,453 If you are not based in one of the countries listed above, we will share an estimated salary benchmark for the country you are based in during the hiring process. Working at GiveDirectly GiveDirectly is an Equal Opportunity Employer. All qualified applicants are considered for employment without regard to the person’s race, color, religion, national origin, sex, sexual orientation, age, marital status, veteran status, disability, or any other characteristic protected by applicable law. Flagging for US applicants: We invite you to " Know Your Rights " as an applicant. Commitment to Safeguarding As a global organization working with communities to eliminate extreme poverty, GiveDirectly takes the safeguarding of its recipients, staff, and partners seriously. To that end, GiveDirectly is a member of the Misconduct Disclosure Scheme , and will systematically check with previous employers about any abuse or misconduct related matters involving potential new hires. We may also employ other robust pre-hire screens, including in-depth reference checks, criminal background checks, and sanctions screens. These efforts help us continue to build and maintain trust with the communities we work with, and prevent abuse to our recipients and staff. **GD is committed to observing all local, national and international laws that protect people and basic human rights of all. GD is committed to a policy of “zero tolerance when it comes to preventing,  reporting, or responding to any form of abuse or  exploitation.” and expects anyone who works for GD to uphold the protection and safeguarding of our recipients as a priority.** Reasonable Accommodations We are committed to fostering an inclusive and accessible work environment. If you require any accommodations during the application or interview process, or to perform the essential functions of the role, please email us at careers@givedirectly.org with the email subject “Accommodation Needed”. We will work with you to ensure reasonable accommodations are made to support your needs. Want to put your best foot forward on your GiveDirectly application? Take a look at our Candidate Application Prep Guide !