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Location: Amsterdam, Netherlands; Ireland, United Kingdom; Munich, Germany; Paris, France; Testelt, Belgium At Allucent™, we are dedicated to helping small-medium biopharmaceutical companies efficiently navigate the complex world of clinical trials to bring life-changing therapies to patients in need across the globe. We are looking for a Sr. Clinical Data Manager (SrCDM) to join our A-team (hybrid*/remote). As a SrCDM at Allucent you lead data management activities of the Allucent Data Management (DM) department. This position manages, coordinates, reviews and approves DM deliverables from database design & set-up, through cleaning and reporting to database locking, ensuring that the completeness, accuracy and consistency of clinical data meets the quality standards and regulatory requirements for analysis and reporting.   This position also provides expertise in relevant data management areas and cross-functional initiatives, including the development of departmental processes, tools, and training of staff. In this role your key tasks will include: Lead and serve as primary contact for DM with all relevant parties both internally (e.g. Clinical Programmers, Data Scientists, Project Management, Clinical Operations/Monitoring, Clinical Monitoring, Biostatistics and other functional groups) and externally (e.g. sponsors, vendors (EDC, external data), and investigational sites) Plan and project the resources required including management of tasks, timelines, risk and quality Monitor tasks against and keep track on budget, forecasts and manage changes of scope, budget, revenue recognition. Develop, review and maintain project-specific DM documents including data management plan (DMP), eCRF specifications, data validation plan (DVP) and external data transfer agreements throughout the lifecycle of the project and ensure adherence to the project requirements Lead and coordinate the development of clinical study database set-up, including eCRF design and database validation requirements Participate in the review of study documents (e.g. protocol, Project Plan, safety plans/manuals and statistical analysis plan), lead and coordinate the review of (electronic) case report forms (eCRFs) Coordinate, oversee and ensure the database User Acceptance Testing (UAT) related tasks are successfully completed Create training materials for EDC users and provide project-specific training as required Lead and oversee the review and validation of clinical data to ensure consistency, accuracy, integrity and completeness Create data cleaning strategy in consultation with applicable functional groups and oversee data releases (such as for DETC/DSMB/IDMC, interim and final locks, updates after lock) Perform and/or coordinate various data transfers and reconciliation activities including (but not limited to) SAE, PK, and (other) external laboratory data Provide project metric reports, status updates, study progress, feedback and advice to project team on site performance issues, data trends and protocol non-compliance Organize and lead Quality Review activities during study Assist in project-related contracts negotiation and contracting process with vendors (EDC, IRT, eCOA) Manage the database maintenance, lock and close-out processes and procedure Participate in conference calls and/or meetings with vendors and sponsors Recognize and solve potential problems and evaluate effectiveness Maintain DM study documentation on an ongoing basis and ensure that all filing is up to date Plan and create necessary documentation to support internal and external audits; may participate in such audits assigned Help to align data management and clinical programming best practices, standards and conventions within the company Provide leadership, expertise and support to other department members. Propose and support initiatives for improving efficiency Actively support to staff learning & development within the company Share relevant information at applicable DM departmental meetings and organize and lead DM-related meetings and discussions Represent the company at professional meetings, webinars or seminars Train and mentor data management staff, support in development of new training material and provide training to relevant staff Participate in the interview process for new recruits Proactively track Data Management related regulatory development trends and updates, in consultation with department Global Head and/or Director, for further alignment and improvement of current processes Contribute as Clinical Data Management Subject Matter Expert (SME) to the evaluation/improvement/drafting of processes and procedures within the Quality Management System Assure good communication and relationships with (future) clients Contribute to and take part in client evaluations and visits Support in preparation of new proposals and budgets for Data Management services Contribute to other areas of business as required Requirements To be successful you will possess: Life science, healthcare degree and/or combination of education and experience Minimum 5 years of relevant work experience as Clinical Data Manager in CRO environment Minimum 5 years of experience in drug development and/or clinical research Thorough knowledge and understanding of ICH-GCP, 21CFR11 data privacy (GDPR/HIPPA) guidelines and awareness of local/regional requirements Good understanding of Medical Terminology Experience with electronic data capture (EDC) software systems and other tools for managing clinical studies, including IRT and eCOA Experience as DM lead on several studies, preferably in different Therapeutic Areas and clinical development phases. Experience in covering all phases of a clinical study (start up, conduct and database lock). Thorough understanding of relational database components and experience in technical data management practices (validation plans, testing, and documentation Experienced in CDISC conventions, i.e., CDASH, TAUG models and hands-on experience implementing these models Experience in developing data management standards Strong written and verbal communication skills including good command of English language Representative, outgoing and client focused Ability to work in a fast-paced challenging environment of a growing company Proficiency with various computer applications such as Word, Excel, and PowerPoint required Administrative excellence Attention to detail, strong technical, analytical and problem-solving skills Strong project management skills Ability to translate guidelines, rules and regulations in clear and usable recommendations Ability to simplify complex issues into understandable concepts Excellent organizational, negotiating and motivational skills Benefits Benefits of working at Allucent include: Comprehensive benefits package per location Competitive salaries per location Departmental Study/Training Budget for furthering professional development Flexible Working hours (within reason) Participation in our enriching Buddy Program as a new or existing employee Internal growth opportunities and career progression Financially rewarding internal employee referral program Eligibility for our Spot Bonus Award Program in recognition of going above and beyond on projects Eligibility for our Loyalty Award Program in recognition of loyalty and commitment of longstanding employees Disclaimers: *Our in-office work policy encourages a dynamic work environment, prescribing 2 days in office per week for employees within reasonable distance from one of our global offices . “The Allucent Talent Acquisition team manages the recruitment and employment process for Allucent (US) LLC and its affiliates (collectively “Allucent”). Allucent does not accept unsolicited resumes from third-party recruiters or uninvited requests for collaboration on any of our open roles. Unsolicited resumes sent to Allucent employees will not obligate Allucent to the future employment of those individuals or potential remuneration to any third-party recruitment agency. Candidates should never be submitted directly to our hiring managers, employees, or human resources.” #LI-BL1

Location: Egypt; Nigeria; Romania; Bangladesh; Pakistan About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking experienced physicians to review inpatient clinical documentation and assess its clinical accuracy, completeness, and consistency. You will evaluate histories and physicals, progress notes, and discharge summaries, adjudicate conflicting information, identify clinically significant errors, and provide clear, evidence-based reasoning for your decisions. This role is suited to physicians with strong hospital medicine experience and a commitment to clinical quality and documentation standards. Key Responsibilities Review inpatient clinical documentation, including histories and physicals (H&Ps), progress notes, and discharge summaries. Assess documentation for clinical accuracy, completeness, and alignment with the patient encounter. Adjudicate ambiguous, conflicting, or inconsistent clinical information using sound medical judgment. Identify and categorize clinically significant errors, omissions, and discrepancies by severity. Apply structured review rubrics and quality criteria consistently across cases. Provide concise, well-reasoned written explanations supporting review decisions. Contribute to the improvement of documentation review guidelines and quality standards. Requirements MD or DO degree. Board certification in Internal Medicine or Family Medicine. At least 5 years of experience as an attending hospitalist, or demonstrated leadership of clinical documentation audit programs. Strong knowledge of inpatient documentation standards and hospital quality assurance processes. Excellent clinical reasoning and the ability to assess complex or ambiguous documentation. Strong written and verbal communication skills, including the ability to explain clinical judgments clearly. Ability to work independently and maintain consistent quality in a remote environment.

Location: Brazil; Argentina; Mexico; Colombia; Peru; Chile About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking experienced physicians to review inpatient clinical documentation and assess its clinical accuracy, completeness, and consistency. You will evaluate histories and physicals, progress notes, and discharge summaries, adjudicate conflicting information, identify clinically significant errors, and provide clear, evidence-based reasoning for your decisions. This role is suited to physicians with strong hospital medicine experience and a commitment to clinical quality and documentation standards. Key Responsibilities Review inpatient clinical documentation, including histories and physicals (H&Ps), progress notes, and discharge summaries. Assess documentation for clinical accuracy, completeness, and alignment with the patient encounter. Adjudicate ambiguous, conflicting, or inconsistent clinical information using sound medical judgment. Identify and categorize clinically significant errors, omissions, and discrepancies by severity. Apply structured review rubrics and quality criteria consistently across cases. Provide concise, well-reasoned written explanations supporting review decisions. Contribute to the improvement of documentation review guidelines and quality standards. Requirements MD or DO degree. Board certification in Internal Medicine or Family Medicine. At least 5 years of experience as an attending hospitalist, or demonstrated leadership of clinical documentation audit programs. Strong knowledge of inpatient documentation standards and hospital quality assurance processes. Excellent clinical reasoning and the ability to assess complex or ambiguous documentation. Strong written and verbal communication skills, including the ability to explain clinical judgments clearly. Ability to work independently and maintain consistent quality in a remote environment.

Location: United States; United Kingdom; Germany; France; Poland About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking experienced physicians to review inpatient clinical documentation and assess its clinical accuracy, completeness, and consistency. You will evaluate histories and physicals, progress notes, and discharge summaries, adjudicate conflicting information, identify clinically significant errors, and provide clear, evidence-based reasoning for your decisions. This role is suited to physicians with strong hospital medicine experience and a commitment to clinical quality and documentation standards. Key Responsibilities Review inpatient clinical documentation, including histories and physicals (H&Ps), progress notes, and discharge summaries. Assess documentation for clinical accuracy, completeness, and alignment with the patient encounter. Adjudicate ambiguous, conflicting, or inconsistent clinical information using sound medical judgment. Identify and categorize clinically significant errors, omissions, and discrepancies by severity. Apply structured review rubrics and quality criteria consistently across cases. Provide concise, well-reasoned written explanations supporting review decisions. Contribute to the improvement of documentation review guidelines and quality standards. Requirements MD or DO degree. Board certification in Internal Medicine or Family Medicine. At least 5 years of experience as an attending hospitalist, or demonstrated leadership of clinical documentation audit programs. Strong knowledge of inpatient documentation standards and hospital quality assurance processes. Excellent clinical reasoning and the ability to assess complex or ambiguous documentation. Strong written and verbal communication skills, including the ability to explain clinical judgments clearly. Ability to work independently and maintain consistent quality in a remote environment.

Location: United States About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking Family Medicine Physicians to support the training and evaluation of next-generation AI systems using their primary care expertise. You will review medical records, assess AI-generated clinical content for accuracy and safety, and apply evidence-based medical judgment across preventive, acute, and chronic care. This role offers an opportunity to improve AI performance in real-world healthcare scenarios. Prior AI experience is not required. LOCATION:United States — Remote SENIORITY:Experienced Physician Key Responsibilities Review inpatient clinical documentation, including histories and physicals (H&Ps), progress notes, and discharge summaries. Assess documentation for clinical accuracy, completeness, and alignment with the patient encounter. Adjudicate ambiguous, conflicting, or inconsistent clinical information using sound medical judgment. Identify and categorize clinically significant errors, omissions, and discrepancies by severity. Apply structured review rubrics and quality criteria consistently across cases. Provide concise, well-reasoned written explanations supporting review decisions. Contribute to the improvement of documentation review guidelines and quality standards. Requirements Active MD degree. Based in the United States and appropriately licensed to practice medicine in the U.S. Hands-on clinical experience in family medicine or primary care settings. Broad knowledge of common acute and chronic conditions, preventive care, and patient management across different age groups. Strong understanding of evidence-based clinical guidelines and standards of care. Excellent written and verbal communication skills. Strong attention to detail and the ability to assess clinical information critically and consistently.

Location: Singapore; Kuala Lumpur, Malaysia Intellect is the global leader in hyper localised mental health benefits, trusted by the world’s most forward-thinking employers, insurers, and governments to deliver care that is local, personalised, and effective at scale. Today, we serve over 4 million people across 100 countries and 100+ languages, making mental health support truly accessible across borders and cultures. Our platform powers the mental wellbeing of workforces at hundreds of Fortune 500 and global multinational companies, enabling them to support their people with the highest standards of clinical quality, cultural relevance, and on-demand accessibility. Driven by our mission to build the world’s most trusted mental health benefits platform, Intellect combines a best-in-class digital platform with a world-leading global provider network to deliver unmatched client outcomes, and transformative care experiences. We are backed by top global investors including Tiger Global, Y Combinator, Insignia Ventures Partners, HOF Capital, K3 Ventures, JAFCO, Headline, East Ventures, IHH Healthcare, MS&AD Ventures, and more, alongside an extensive coalition of notable family offices, big tech executives, and leading angel investors. The Role We are looking for an Enterprise Account Executive, Asia to drive new business across mid-market and enterprise customers in the region. This is a high-ownership, full-cycle sales role for someone who wants to build, not simply inherit a mature territory and run an established sales playbook. You will have strong support from marketing, partnerships, leadership, product, clinical, customer success, and other teams across Intellect. At the same time, we expect you to be highly proactive in creating momentum yourself: opening doors, developing opportunities, shaping propositions, building compelling pitches, navigating complex buying processes, and doing what is needed to move important deals forward. We are looking for someone commercially sharp, resourceful, persistent, and comfortable operating with pace and ambiguity. A builder, not a passenger. What You Will Do Build & Win New Business Own the end-to-end sales cycle across mid-market and enterprise customers in Asia, from first conversation through to contract signature. Develop a deep understanding of target accounts, their priorities, decision-makers, buying dynamics, and where Intellect can create meaningful value. Run high-quality discovery with senior stakeholders and translate customer needs into compelling commercial solutions. Build strong, multi-threaded relationships across organisations and navigate complex regional or enterprise buying processes. Create & Develop Pipeline Work closely with marketing and the broader commercial team on inbound opportunities, campaigns, events, account-based initiatives, and other sources of demand. At the same time, take ownership of creating opportunities yourself through targeted outreach, referrals, networking, events, partnerships, and thoughtful account development. You should be comfortable working both sides of the equation: converting strong inbound demand and creating new opportunities from scratch. Shape Complex Enterprise Deals Develop account strategies and determine the best path to win each opportunity. Create and customise presentations, proposals, business cases, and commercial narratives around the needs of each customer rather than relying only on standard materials. Bring the right internal stakeholders into the process - across leadership, product, clinical, customer success, legal, security, and operations - and orchestrate them effectively. Navigate procurement, legal, security, commercial negotiations, and other enterprise requirements with sound judgement and persistence. Identify blockers early, create clear next steps, and maintain momentum throughout the sales cycle. Represent Intellect Across Asia Build trusted relationships with senior decision-makers across the region. Represent Intellect at customer meetings, industry events, conferences, roundtables, and other commercial opportunities. Be willing to engage directly in events, lead generation, and market-building activities rather than seeing them as someone else’s responsibility. Develop a strong understanding of the evolving mental health, employee benefits, HR, healthcare, and workforce landscape across Asia, and bring relevant market insights back into the company. What Success Looks Like You consistently build and convert a healthy pipeline of high-quality opportunities. You win meaningful new mid-market and enterprise customers across Asia. You create opportunities independently as well as convert marketing-generated demand. You build credibility with senior stakeholders and develop relationships across multiple decision-makers within an account. You navigate complex sales cycles with strong commercial judgement and clear ownership. You create compelling, customer-specific pitches and proposals that move opportunities forward. You maintain strong discipline around pipeline management, forecasting, follow-ups, and next steps. You become a credible and trusted representative of Intellect in the market. You operate effectively without needing a large or highly prescriptive sales machine around you. Requirements 5-10 years of B2B sales experience, with meaningful exposure to mid-market or enterprise customers. We care less about a specific industry background than we do about seeing evidence that you can create and win business. You are likely to be someone who: Has a strong track record of winning new mid-market or enterprise customers. Has owned a meaningful portion of the full sales cycle, from opportunity creation through to negotiation and close. Is commercially hungry and proactive about generating business rather than relying entirely on inbound demand. Can sell consultatively and understand the underlying business problem rather than simply presenting product features. Is comfortable navigating complex organisations with multiple stakeholders and decision-makers. Can communicate credibly with senior executives and adapt your approach across different audiences and markets. Is comfortable creating or adapting your own decks, proposals, business cases, and sales narratives when needed. Is highly resourceful and persistent when an opportunity becomes difficult or stalls. Has strong judgement around account prioritisation, stakeholder management, and how to move a deal forward. Is comfortable operating in an environment where not every process is perfectly defined. Has strong commercial discipline without becoming overly dependent on process or infrastructure. Works effectively across functions and knows how to bring the right people into an opportunity. Is ambitious, resilient, and motivated by ownership and outcomes. Is willing to get hands-on where needed, whether that means prospecting, working an event, researching an account, preparing a custom pitch, or pushing through a difficult procurement process. Experience selling HR technology, employee benefits, healthcare, mental health, SaaS, professional services, or other complex B2B solutions is useful, but not essential. Experience selling across multiple Asian markets or operating in a regional role would be a strong advantage. Benefits Why You’ll Love Working With Us: Global company – work in a diverse environment with people from nearly 20 countries Generous leave policy – time off to rest and recharge Christmas week off – company-wide break during Christmas, separate from annual leave Birthday leave – enjoy a day off on your birthday Quarterly mental health days – one day off every quarter to focus on your wellbeing Flexible work arrangements – work in a way that suits your lifestyle and goals Work-life balance – a culture that values personal time and long-term wellness Medical coverage – comprehensive insurance for peace of mind Performance bonus – high performance is recognised and rewarded Development budget - annual allowance to support your professional development Mental health support – premium coaching access to our mental health app and resources & dedicated budget for clinical and psychiatric care Socials and communities – regular non-work events/activities to connect and have fun together

Responsibilities You are the strategic lead for the clients in your book of business. You will build strong relationships with your clients in order to understand their business goals, business needs, the priorities of these goals and needs, and how Constructor maps to these goals and needs.

Location: Mexico Paired is a global staffing and recruiting agency that pairs remote work with top-tier talent. We admire the importance of innovative social media strategies and are committed to connecting talented individuals with great companies that need their unique skills. Our mission is to provide great jobs to gifted people, regardless of location. About the Client Our client helps high-achieving men rebuild their lives from the inside out, marriage, family, identity, and purpose. They have an established content engine and a large existing audience across social platforms, with hundreds of long-form videos and a deep library of short-form content, client testimonials, VSLs, and organic content continually being produced and tested. They’re looking for a Meta Media Buyer who can turn that creative engine into predictable, scalable customer acquisition. About the Role Paid acquisition is a major growth channel for our client, and we need a dedicated owner of our Meta advertising. This is not a general digital marketing position, and it is not a role for someone who simply launches campaigns and checks Ads Manager once a day. You will own Meta campaign execution and optimization end to end: campaign structure, budgets, testing, creative performance, audiences, tracking, lead quality, and scaling. You’ll work closely with our organic and creative teams. When content breaks out organically, you should know how to test it as paid creative. When an ad works, you should understand why it works and be able to tell the creative team what we need more of. Ultimately, your job is not to generate cheap clicks or leads. Your job is to help us acquire qualified prospects and customers at economics that allow us to scale. Responsibilities 1. Meta Campaign Management Own day-to-day execution across Facebook and Instagram advertising through Meta Ads Manager. Build, launch, manage, and optimize campaigns across the customer acquisition funnel. Manage campaign structure, budgets, bidding, audiences, placements, optimization events, and spend allocation. Monitor account performance consistently and make informed adjustments rather than allowing declining campaigns to run unchecked. Maintain clean campaign structures and naming conventions so the account remains organized, understandable, and scalable. 2. Performance & Budget Optimization Own the numbers behind paid acquisition. Monitor and analyze the metrics that matter, including CPM, CTR, CPC, CPL, cost per booked call, CAC, conversion rates, lead quality, spend, and revenue performance. Understand where performance is breaking down. A rising CAC does not automatically mean the audience is the problem, and a low CPL does not automatically mean the campaign is successful. Follow the lead beyond Meta. Work with our sales team to understand whether campaigns are generating qualified applications, booked calls, show-ups, and customers — not simply form submissions. Identify where additional budget can be deployed profitably and where spend needs to be reduced or redirected. 3. Creative Testing & Analysis Develop and maintain a structured testing system for hooks, angles, messaging, formats, offers, CTAs, and creative concepts. Analyze creative performance and identify patterns across winning and losing ads. Be able to explain more than “this ad has the lowest CPL.” We want someone who can identify why an angle is resonating, which hooks are producing qualified prospects, what is losing effectiveness, and what should be created next. Give the creative team specific, actionable briefs and feedback based on performance data. Work closely with our Social Media Manager to identify organic winners that should be tested as paid creative, including reusing organic post IDs where appropriate to carry existing social proof. 4. Testing & Scaling Build a disciplined testing process rather than making random changes inside the ad account. Know how to determine whether a test has enough data to make a decision and distinguish meaningful performance changes from normal fluctuations. Identify winners, iterate on them, and scale them intelligently. Know when to increase spend, when to consolidate, when to introduce new creative, when to let a campaign stabilize, and when something genuinely needs intervention. Balance growth with efficiency. We don’t want someone afraid to spend money when the economics support scaling — or someone who increases budgets simply because Meta is reporting good numbers. 5. Tracking & Attribution Ensure Meta Pixel, Conversions API, conversion events, UTMs, landing-page tracking, and relevant CRM attribution are functioning correctly. Identify tracking discrepancies and work with the appropriate team members to resolve them. Understand the limitations of platform attribution and use available business data to develop a more complete picture of campaign performance. Paid acquisition doesn’t end when someone submits a lead form. You should be able to connect ad → lead → appointment → sales outcome → customer acquisition cost. 6. Reporting & Communication Own clear and consistent reporting on paid acquisition performance. Communicate what happened, why it happened, what was learned, and what you’re doing next. Report on spend, lead volume, CPL, qualified leads, booked calls, CAC, creative performance, testing results, and relevant funnel metrics. Flag meaningful performance changes quickly rather than waiting for someone else to notice them. Requirements You have experience working with U.S.-based DTC e-commerce businesses generating seven- to eight-figure annual revenues. 3+ years of hands-on experience managing Meta Ads (Facebook and Instagram). Strong proficiency with Meta Ads Manager. Demonstrated experience managing and scaling meaningful paid advertising budgets. Strong understanding of direct-response and performance marketing. Experience with lead-generation and conversion-focused campaigns. Strong understanding of campaign structure, audiences, bidding, budgeting, optimization, and scaling. Strong creative analysis and ad-testing skills. Ability to interpret advertising and funnel data and translate it into specific actions. Understanding of Meta Pixel, Conversions API, conversion events, UTMs, and attribution. Ability to evaluate performance beyond platform metrics and connect advertising results to downstream sales outcomes. Strong written and verbal communication skills. Strong organizational skills and attention to detail. Ability to work independently, take ownership, and proactively identify and solve performance problems. Nice to Have Experience with high-ticket coaching, education, personal development, mental health/fitness, or information-product businesses. Experience working with a setter/closer sales model and understanding what happens to paid leads after they enter a CRM. Experience with application, booked-call, VSL, or similar high-ticket acquisition funnels. Experience working with founder-led or personality-driven brands. Experience turning organic content into successful paid creative. Strong understanding of CRM attribution and the connection between ad-platform data and actual sales outcomes. What We’d Like to See From Candidates We’re much more interested in proof of work than media-buying buzzwords. Be prepared to show accounts or case studies you’ve personally managed and explain your role in the results. We want to understand the monthly Meta spend you’ve personally managed, the type of business and offer you advertised, your CPL/CAC or other relevant acquisition results, how you approached creative testing, what you successfully scaled, and an example of a campaign that stopped performing and how you diagnosed it. You should be able to explain your decision-making, not simply show us a screenshot of a successful Ads Manager dashboard. Out of Scope for This Role This is specifically a Meta Media Buyer position. You are not responsible for organic social media management, community management, email/newsletter marketing, or managing Google, YouTube, TikTok, or other paid advertising platforms. Our Social Media Manager owns organic social end to end and influences paid creative but does not run the ad accounts.

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 Copywriter with a focus in Product Marketing to sit at the intersection of product marketing and in-product experience. This is not a brand or campaign role — it's a performance-driven, product-close writing role. You'll own copy across landing pages, lifecycle emails, ads, feature launches, onboarding flows, in-product messaging, and everything in between. You'll report to the Creative Director of Product Marketing. Your work will directly shape how people discover, understand, and adopt Runway's products. That means writing copy that converts on a landing page, writing the in-product text that helps a user get started, and crafting the email that brings them back. You'll partner closely with product marketing, growth, design, and product teams — and you'll be measured on clarity, speed, and impact. WHAT YOU'LL DO - Write landing page copy, ad copy, and performance marketing assets that drive acquisition and conversion - Own in-product copy — onboarding flows, feature announcements, tooltips, modals, upgrade prompts, and CTAs - Write lifecycle and product emails — launches, re-engagement, onboarding sequences, and feature adoption - Own the narrative for launch videos and short-form product films, writing scripts, sharpening others' drafts, and making sure every frame makes the product's value clear - Partner with product marketing on positioning, messaging frameworks, and go-to-market copy for new releases - Collaborate with design and product teams to shape the in-product writing experience - Write and iterate on A/B test variants across landing pages, emails, and ads - Translate complex, technical product capabilities into clear, compelling language for a range of audiences - Maintain consistency in product voice and terminology across all touchpoints WHAT YOU'LL NEED - 4+ years of experience in product copywriting, growth marketing or a related writing role at a tech or SaaS company - A portfolio that shows range across performance marketing, product copy and in-product writing — not just brand campaigns - Strong instinct for conversion-oriented writing — you think in terms of clarity, action, and outcomes - Experience writing in-product copy (onboarding, feature education, UX microcopy) alongside marketing copy - Comfort working with data — you can look at test results, funnel metrics and engagement data and know what to write next - Experience partnering with product, design, and growth teams in a fast-moving environment - Ability to context-switch across multiple launches and workstreams without losing quality - 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

The Academic Dean leads the instructional team and is the school's authority on academic standards at MiaPrep Online Academy of Ohio (MOAO), including student conduct, attendance compliance, and academic integrity. Directly supervise instructional staff, holding weekly 1:1s focused on coaching, support, and goal setting.

Location: Remote; 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 NYC, San Francisco, and Seattle We’re looking for a Senior/Staff HR Business Partner to work directly with Runway’s leaders and teams on how they grow, organize and perform. You’ll advise managers and executives on people decisions, lead org design and talent programs, unblock teams so they can move faster and turn what you see across the business into HR priorities. WHAT YOU’LL DO - Partner with leaders on org design, headcount planning, team structure and leveling - Coach managers and executives on performance, feedback, career development and difficult conversations - Own complex employee relations cases from intake through resolution, including investigations, in partnership with Legal where needed - Work with Compensation and Talent Acquisition on offers, promotions and market adjustments - Use headcount, attrition, engagement and performance data to spot risks early and recommend action - Design and roll out programs that fit how Runway’s teams work, from manager training to engagement initiatives - Step in wherever the team needs it WHAT YOU’LL NEED - 7+ years of experience in HR, including at least four as an HR Business Partner supporting fast growing teams - Experience at a high-growth company, ideally through periods of rapid headcount growth - A record of advising senior leaders and earning their trust - Strong employee relations experience, with sound judgment and discretion - Working knowledge of employment law, compensation practices and performance management frameworks - Clear written and verbal communication - Comfort operating independently in a fast-paced, ambiguous environment - A high ownership mindset and a team-first attitude 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: San Francisco, CA; Chicago, IL; Austin, TX; Atlanta, GA; Tampa, FL; Seattle, WA; Boston, MA; New York, NY; San Diego, CA; Washington DC; Los Angeles, CA Workplace: Remote ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE ROLE We’re hiring a Senior Technical Support Engineer to lead our customer support experience for highly technical users, from AI engineers to infrastructure architects. You’ll be on the front lines helping teams debug production LLM applications and agents, improve AI observability and evaluations, and unblock critical issues. You’ll also help define what world-class technical support looks like for modern AI platforms KEY RESPONSIBILITIES - Be the go-to escalation point for technical support inquiries—diagnosing issues across customer setup, LangChain products, and deployment issues. - Work directly with engineering, operations, documentation, and product teams to resolve bugs, suggest patches, and advocate for customer needs. - Partner with Deployed Engineering to support critical enterprise customers. - Build and refine internal tooling, diagnostics, and runbooks for complex issue triage. - Lead post-mortems for critical incidents and feed learnings back into product and documentation. - Help refine KPIs for support health (MTTR, CSAT, bug recurrence) and drive continuous improvement. - Improve documentation and knowledge articles to improve 1-to-many resources and provide proactive support. - Mentor and coach other support engineers. HOW TO BE SUCCESSFUL IN THIS ROLE - 6+ years in technical support, solutions engineering, or SRE roles in deeply technical B2B environments (e.g., observability, infrastructure, data platforms). - Expert troubleshooting skills across APIs, SDKs, distributed systems, and cloud-native stacks. - Programming experience with Python. Bonus if you have TypeScript experience. - Hands-on knowledge of Kubernetes and Docker - Comfort working with logs, traces, metrics in Datadog, and 3rd-party integrations (e.g., OpenTelemetry, LLM providers). - Experience supporting enterprise customers and collaborating with engineering on complex escalations. - A bias for clarity and continuous improvement: you write succinct, helpful, and accurate responses and build a foundation for case deflection. - High ownership — want to do what’s best for the customer and the company and are relentlessly results oriented Location: Remote COMPENSATION - Annual salary range: $130,000 - $195,000 USD + equity Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: Washington DC Workplace: Remote ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. ABOUT THE TEAM The LangChain Deployed Engineering - Federal team works directly with U.S. Government customers — including the Department of Defense (DoD), Civilian Agencies, and the Intelligence Community (IC) — who are building and operating AI agents in mission-critical environments. This is a hands-on, highly technical team that partners closely with government engineers, technical program managers, and system integrators across the full lifecycle — from pre-award technical shaping and evaluations to post-deployment advisory work in secure environments. The focus is on achieving the technical win, architecting secure and compliant agent systems, and enabling agencies to operate AI agents reliably at scale using the LangChain suite. Deployed Engineers sit at the intersection of engineering, product, security, and go-to-market. You will shape how LangChain is adopted across classified and unclassified environments, ensuring alignment with federal compliance requirements while feeding mission-driven insights back into the platform. ABOUT THE ROLE As a Deployed Engineer, you’ll work on some of the hardest problems in applied AI — not demos or experimental research, but production systems supporting real-world missions. You’ll help defense, civilian, and intelligence customers design, deploy, and operate AI agents in secure, regulated, and high-stakes environments. The feedback loop is fast, the mission impact is tangible, and your work directly influences how AI agents are deployed across the federal landscape. You will operate in environments that demand security, reliability, compliance (FedRAMP, IL levels, etc.), and operational rigor. WHAT YOU’LL DO - Co-architect and co-build production AI agents with federal engineering teams and system integrators - Own the technical win in federal pre-sales engagements by designing secure POCs, supporting RFI/RFP technical responses, and guiding technical evaluations - Design architectures that meet federal security and compliance requirements (FedRAMP, DoD IL2–IL6, NIST, etc.) - Help agencies deploy and operate agent-based applications such as mission support copilots, intelligence analysis agents, research automation systems, and multi-step operational workflows - Advise customers post-award on architecture, scalability, observability, evaluation, and long-term roadmap decisions - Deliver technical demos, workshops, and enablement sessions tailored to government developer and operator audiences - Partner with security teams to navigate ATO processes and accreditation pathways - Surface field feedback from federal use cases and contribute reusable patterns, secure deployment guides, and example code that scale across agencies - Occasionally contribute code upstream when it meaningfully improves federal customer outcomes WHAT YOU’LL BRING - Must have zctive or prior U.S. security clearance (Secret, TS/SCI) - 3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, product engineering), ideally supporting federal or regulated customers - Experience working with DoD, Civilian Agencies, Intelligence Community, or federal system integrators - Strong Python and JavaScript fundamentals, with deep systems thinking - Experience designing agent-based or LLM-powered systems beyond simple API calls, including multi-step workflows, orchestration, guardrails, and failure handling - Familiarity with secure cloud environments (AWS GovCloud, Azure Government, etc.) - Comfort operating in regulated environments with security, compliance, and documentation requirements - Experience supporting technical evaluations, architecture reviews, and competitive down-select processes - Ability to clearly explain technical tradeoffs to government stakeholders and build trust across engineering and program leadership - Ownership mindset — you take responsibility for mission outcomes, not just recommendations - Bias toward action and comfort operating in ambiguity - Excitement about running AI agents in real-world, production federal environments — not just building demos NICE TO HAVE - Experience deploying AI systems in classified or air-gapped environments - Familiarity with FedRAMP authorization processes or DoD Impact Levels (IL2–IL6) - Experience with LLM evaluation, observability, red-teaming, or guardrails in high-assurance settings - Hands-on experience with AWS, Azure, containers, Kubernetes, and secure networking architectures - Experience working alongside federal system integrators (Booz Allen, SAIC, Leidos, etc.) - Production experience with LangChain, LangGraph, or similar agent frameworks COMPENSATION & BENEFITS We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. Annual OTE range: $185,000–$300,000 USD Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: 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 At GitLab, People technology never stands still, and this role will be at the center of it. Reporting to the Senior Director, People Technology, you’ll work alongside senior team members and partner closely with People Operations, People Business Partners and Talent Acquisition to keep our People systems running at the speed of a fast-moving, innovative tech company. No two days will look the same. One day you’re running recurring processes and answering questions from teams across the organization, the next you’re preparing Sarbanes-Oxley (SOX) audit evidence, building reports, writing test cases or delivering quarterly and annual changes and system upgrades. Using cycle-time analysis, best-practice research and AI tools, you’ll find better ways to operate and create streamlined, delightful experiences for the people using our systems, while growing your career in an all-remote, async-first environment. What You’ll Do Keep pace with the daily rhythm of a high-growth company by owning recurring processes, monitoring system health, resolving issues quickly and serving as a go-to resource for teams across the organization, especially People Operations, People Business Partners and Talent Acquisition. Protect data integrity by administering system security, assigning and maintaining security roles, and running regular system and security audits. Configure, test and deploy day-to-day enhancements as well as quarterly and annual changes, including annual People programs, so every update lands cleanly and on schedule. Support upgrades and releases by reviewing new features, running regression tests and helping stakeholders get ready for what’s changing. Write and run test cases, and keep clear documentation of configurations, business processes, and reporting and integration schedules. Load mass datasets and distribute policies and documents with confidence and thorough testing. Prepare and maintain SOX information technology general controls (ITGC) audit evidence and internal controls documentation, following access, security and change-management standards with care. Build and maintain reports and dashboards that help stakeholders make decisions. Use cycle times and process data to find friction, then recommend and make configuration changes and measure their impact. Help team members get the most out of their tools through training and enablement. Research best practices and new capabilities, and use AI every day to automate manual tasks, speed up analysis and share what you learn. Support senior team members on cross-team projects and implementations, owning your workstreams and delivering quality results on time. What You’ll Bring Hands-on HR technology experience, including exposure to Workday configuration, testing or system support. Exposure to public company operating procedures, such as SOX ITGC controls, audit evidence and change management. A curious, puzzle-loving approach to problem-solving, backed by experience investigating issues, analyzing process data and finding the “why” behind a problem. An AI-forward mindset, with experience using AI tools in your daily work to automate tasks, speed up analysis and improve processes. Experience validating system changes and documenting findings clearly, along with close attention to detail and sound discretion with highly confidential information. Independence and an ownership mindset: you take accountability for outcomes, move work forward with confidence and follow through on commitments. A collaborative, customer-focused approach. You partner openly, design with the end user’s experience in mind, and bring polished options and a recommendation when you raise a problem. A love for turning complex processes into simple, delightful experiences that let people focus on their best work. Helpful but not required: experience with Serval, Greenhouse, Slack or Google Workspace; building reports and dashboards; supporting implementations, upgrades or releases, including regression testing; or working in a fast-paced, all-remote or async-first tech environment. About the team The People Technology team is building the systems foundation that lets GitLab scale as a global, all-remote company. We’re always raising the bar for what People technology can do, improving reliability, usability and intelligence across the platforms that power our People organization. We work across core systems, integrations, reporting and compliance, and partner closely with stakeholders across time zones to move fast, build with purpose and create seamless experiences that empower people to do their best work. If you want to grow your career building something that matters at a company working at the edge of what’s possible, this is the team. How GitLab will support you 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 Home office support 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. 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 $95,200 — $160,800 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: Mexico Workplace: remote About Welo Data Welo Data, a Welo Global brand, is the multilingual data and evaluation partner for foundation labs and enterprises deploying GenAI systems globally. They deliver the human judgment, data infrastructure, and evaluation systems that ensure AI models perform reliably across languages, cultures, and real-world contexts, at every stage from training through deployment.  Its global network of 500,000+ vetted experts spans 300+ languages and locales, enabling high-quality multilingual data creation and structured model evaluation across the full spectrum of modern AI applications — from large language models and voice and speech systems to agentic workflows and robotics and embodied AI. This breadth of linguistic, cultural, and domain expertise enables Welo Data to address critical AI development challenges, including safety, bias, inclusivity, and cross-lingual reliability. A unified global operating model, led by specialized program and quality experts and grounded in assessment-driven talent selection, localized rubrics, and continuous calibration, ensures consistent performance across languages, domains, and modalities. Underpinning all of this is NIMO™ (Network Identity Management and Operations), Welo Data's proprietary identity and fraud-prevention framework. Built to maintain data integrity and workforce trust across a global contributor base, NIMO combines advanced verification, continuous monitoring, and structured QA to ensure every dataset is accurate, traceable, and culturally grounded. welodata.ai    About the Team  Welo Data's Trust & Safety function protects the integrity of a global, distributed workforce that powers AI data and annotation work. We run a multi-layered fraud detection stack combining identity verification checks, in-house behavioral signals, and platform activity data, and are actively building out a Trust & Safety Committee spanning four core workstreams: identity verification, location verification, account integrity, and multi-accounting detection. This is a hands-on investigative role, not a policy-only seat — you'll be working live cases from day one.  About the Role  We're looking for a Trust & Safety Specialist, based in Mexico, to join our investigations team, working active fraud cases and supporting the broader fraud strategy program. You'll come in with real T&S, fraud/risk, or identity-verification experience from another platform, marketplace, gaming company, fintech, IDV vendor, or crowdsourced-workforce environment, and be ready to run investigations, process removals, and spot fraud patterns from week one. What You Will Do Run investigations end-to-end: triage flagged accounts, review evidence (identity signals, behavioral flags, platform activity data), reach a disposition, and process removals in line with policy and SLA. Own IDV review: verify identity and location signals for flagged or high-risk accounts, distinguishing genuine edge cases from fraud. Conduct manual audits and reviews: prioritizing cases by risk and signal strength rather than intake order. Detect multi-accounting and account integrity abuse: recognize patterns across linked accounts, device/location overlap, and behavioral signals. Apply a hypothesis-driven investigation method: form a hypothesis, test it against the evidence, and reach a disposition that can be replicated and audited. Contribute to detection improvement: escalate emerging fraud vectors, false-positive/false-negative patterns, and rule gaps to the fraud strategy team. Handle sensitive data responsibly: apply GDPR-aligned data handling and deletion practices in every case. Collaborate cross-functionally: partner with Research Labs, Quality Strategy Architecture (QSA), and Forward Deployment Engineering on tooling gaps and process fixes surfaced by your casework What You Bring (Must Have-s) 5+ years in a T&S, fraud/risk, or identity-verification investigations role — from a platform/marketplace T&S team, a fintech/payments risk team, an identity-verification vendor, or a crowdsourced/gig-workforce trust function. Direct experience with identity/fraud signals — device fingerprinting, IP/geolocation checks, document verification, or behavioral fraud scoring. Multi-accounting / account integrity pattern recognition — you've dealt with linked-account abuse, farming, or account sharing before, not just single-account review. Case documentation discipline — you write clean, evidence-backed case notes that would survive an audit or an appeal. Comfort with ambiguity and volume — you can prioritize a queue by risk, not just clear it by count. Working knowledge of data privacy obligations (GDPR or equivalent) as they apply to case handling and data retention/deletion. Nice to Have Experience specifically in AI/ML data annotation, RLHF, or research operations workforce platforms. Exposure to rule-based fraud detection engines and an opinion on rule sprawl vs. signal quality. Familiarity with clustering/anomaly-detection approaches to fraud (even at a conceptual level). Case management system experience (any ticketing or knowledge-base tooling). Recommended Education Bachelor's degree in Criminology, Law, Criminal Justice, Cybersecurity, Information Security, Data/Computer Science, or a related field. Equivalent practical experience in T&S, fraud investigations, or identity verification will be considered in place of a degree. Relevant certifications are a plus: CFE (Certified Fraud Examiner), CAMS (Certified Anti-Money Laundering Specialist), or IDV/identity risk vendor certifications.

Location: Remote-Friendly, United States; San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. Program Overview Many of the questions that will shape our future have no single checkable answer. Reasoning well about them, whether in law, policy, philosophy, economics, cognitive science, or AI safety itself, takes the kind of judgment experts spend years building. We believe frontier AI, developed safely, can become a real partner on these questions, but getting there means working closely with the people who know these fields best. This fellowship brings researchers and experts from philosophy, cognitive science, economics, policy, and law into Anthropic for four months to work alongside our research teams. Fellows pair deep domain expertise with our frontier models and internal tooling to evaluate, improve, and apply Claude's capabilities in their field. What to Expect: A concrete, scoped project matched to your background, with mentorship from Anthropic researchers. Access to frontier Claude models and internal evaluation tooling. A cohort of incoming Fellows to collaborate with and a connection to Anthropic's broader research community. Compensation: $100,000–$167,000 USD for the four-month fellowship (equivalent to $300,000–$500,000 USD annualized), and other benefits. Key responsibilities Identifying key open problems in your field, assessing approaches to solving them, and using Claude to make progress on them. Identifying grand societal challenges which the expertise of your field is crucial for addressing, and assessing Claude’s strengths and weaknesses in tackling them. Designing evaluations and RL environments that test models in your field systematically, turning your expertise into working tests of how well Claude reasons in your field. Team up with other Fellows in your field to build environments that push Claude on the hardest, most judgment-heavy problems your discipline has to offer. Minimum qualifications Are excited about the potential for AI to reason well about hard questions in their field where expert judgment matters. Hands-on experience using Claude and Claude Code in your day-to-day workflow. Hold (or are completing) a PhD in philosophy, cognitive science, economics, policy or law, or have equivalent research experience. Are comfortable working in a fast-paced, high-agency atmosphere for a few months and delivering concrete results. Existing authorization to work in the United States for the duration of the program. Preferred qualifications Experience designing evaluations, benchmarks, datasets, or expert rubrics. Demonstrated expertise in your field, shown through research, scholarship, or expert-level analytical writing. Representative projects A philosopher building hard cases that require normative judgment in ethics or formal epistemology. A cognitive scientist designing experimental-design and model-comparison tasks. An economist writing modelling and identification problems with ground truth. A policy scholar drafting regulatory and cost-benefit analysis tasks with expert rubrics. A legal scholar building AI-policy-relevant law datasets. Logistics - Fellows The program runs from January 12th to May 8th 2027 , and is full-time for the duration; some fellowships may be considered for an extension. Applications are open until October 28, 2026 , and we plan to make offers by November 20th. Later stages will typically include a take-home exercise and conversations with our research team and potential mentors about your research interests and possible project directions. We ask that all Fellows attend a one-week in-person orientation in San Francisco. The default location is in San Francisco. We will consider remote engagements within the United States in certain circumstances. We are not currently able to sponsor visas for fellows. To participate in the Fellows program, you need to have or independently obtain full-time work authorization in the United States. This is a fixed-term contract position. Fellows are engaged through an employer of record, rather than employed directly by Anthropic. The below are Anthropic's policies for full time roles. These do NOT apply to the Fellows Program. Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

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

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