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Location: Costa Mesa, United States; Santa Ana, United States 📍 Location: Santa Ana / Costa Mesa, CA 🏢 Work Arrangement: On-Site 🚀 Start Date: TBD 💰 Compensation: TBD — based on skills and experience Important Screening Requirements Must be a U.S. Citizen . Must be able to obtain and maintain a Top Secret / SCI (TS/SCI) security clearance . Associate degree or equivalent relevant experience. 5+ years of experience in manufacturing, quality, or engineering-related roles. Experience supporting hardware development and quality management in a manufacturing environment. Ability to read and interpret engineering drawings, work instructions, CAD, and wire diagrams . Experience using calibrated inspection equipment such as calipers, micrometers, CMM, Faro arm, or OMM . Experience working within AS9100, ISO 9001, IATF 16949, or a similar quality management system . Must be able to work on-site in Santa Ana or Costa Mesa, CA . About the Role We are seeking a Quality Specialist – MRB & Nonconformance to support manufacturing quality operations within an advanced aerospace and defense environment. This role will manage the Materials Review Board (MRB) process and work closely with manufacturing, engineering, quality, inspection, warehouse, suppliers, and other cross-functional teams to resolve nonconforming materials and improve production quality. The ideal candidate is hands-on, highly detail-oriented, and comfortable working directly within a manufacturing environment to identify issues, drive containment, support investigations, and improve quality processes. What We’re Looking For We’re looking for a hands-on quality professional who can take ownership of MRB and nonconformance activities while working directly with manufacturing and engineering teams. The successful candidate will be comfortable investigating quality issues, coordinating containment and disposition activities, analyzing inspection and traceability data, and identifying opportunities to improve manufacturing quality and productivity. Key Responsibilities MRB & Nonconformance Management Manage the site Materials Review Board (MRB) process. Work closely with manufacturing operations to support resolution, containment, and improvement of nonconforming materials. Review manufacturing work instructions and provide quality feedback. Provide clarification and support go/no-go decisions for inspectors. Lead containment activities for nonconforming items, including inspection and verification of affected parts. Assist with root-cause investigations. Coordinate internal triage with engineering teams to support nonconformance dispositions. Track investigative actions and ensure required tasks are completed on time. Ensure MRB data collection and entry are accurate and complete. Communicate quality issues and process performance to key stakeholders. Track and report MRB metrics on a weekly basis. Inspection & Quality Operations Execute vendor Return Material Authorizations (RMAs) in partnership with Warehouse and Purchasing teams. Manage quality containment for materials, tooling, and inspection equipment associated with nonconformances. Create inspection plans for incoming materials, in-process inspections, and end-of-line inspection activities under the direction of Product Quality Engineers. Train technicians and inspectors on inspection plans and data-capture requirements. Propose, develop, and implement quality assurance policies and procedures. Perform internal audits of processes and procedures as directed by Quality Systems Engineering. Data Analysis & Continuous Improvement Identify and recommend continuous improvement projects focused on productivity, quality, and process effectiveness . Analyze quality and traceability data to identify trends, inconsistencies, variation, and process issues. Stay current with inspection technologies and techniques and recommend improvements to inspection processes. Analyze inspection results and provide actionable feedback to production, manufacturing engineering, and quality engineering teams. Required Qualifications Associate degree or equivalent experience in a relevant field. 5+ years of experience in manufacturing and/or quality or engineering-related roles. Experience working in a manufacturing environment supporting hardware development and quality management . Proficiency with CAD software and inspection data management software . Experience using calibrated inspection equipment, including: Calipers Micrometers CMM Faro arm OMM Ability to read and interpret engineering drawings, wire diagrams, work instructions, and CAD. Experience with investigative and inspection methods such as X-ray inspection, digital characterization, and material certificates of compliance . Experience working within an AS9100, ISO 9001, IATF 16949, or similar QMS environment . Experience with validation and testing of assemblies and components. Experience communicating with suppliers and cross-functional teams. Strong attention to detail and organizational skills. Ability to work independently and collaboratively. Preferred Qualifications Technical or Associate degree in Quality, Mechanical Engineering, Aerospace Engineering, or a related field . Direct experience conducting First Article Inspection (FAI) and preparing First Article Inspection Reports. ASQ Certified Quality Engineer, Quality Improvement Associate , or equivalent certification. IPC-A-610 or IPC-A-620 certification. Experience in low-rate production manufacturing environments . Knowledge of Geometric Dimensioning and Tolerancing (GD&T) . Experience inspecting electrical and electronic components, including power supplies, PCBs, and wire harnesses . Experience with manufacturing systems and tools such as Jira, MES, ERP, Teamcenter, and CAD . Experience auditing manufacturing processes and procedures. Strong communication skills across engineering, manufacturing, quality, suppliers, and other cross-functional teams. 🔎 Ideal Candidate Profile The strongest candidates will bring a combination of hands-on manufacturing quality experience, MRB/nonconformance expertise, inspection knowledge, and strong problem-solving skills . Experience with aerospace quality systems, FAI, GD&T, and electronic hardware inspection will be especially valuable.

Location: New York, NY (HQ) Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE As the Solutions Consultant, Enterprise Team Manager at Ramp, you will lead and develop a high-performing team of Solutions Consultants supporting Enterprise prospects. You will set the operating rhythm for complex pre-sales work, coach the team on discovery, solution design, demos, technical deal strategy, and partner closely with Sales, Product, Engineering, Customer Success, Account Management to deliver a cohesive customer experience. You will remain close to high-impact opportunities while scaling the team’s technical ownership financial fluency, and executive presence. This is a player-coach leadership role: you will improve how the team qualifies and advances complex opportunities, create repeatable practices and assets, and use customer insight to shape Ramp’s go-to-market and product priorities. WHAT YOU'LL DO - Lead, coach, and develop a team of Enterprise Solutions Consultants; set clear expectations, provide regular feedback, and support career growth. - Establish a high-quality operating cadence for pipeline reviews, deal strategy, forecasting, staffing, and performance management. - Partner with Enterprise Sales leadership to shape account strategy, qualify complex opportunities, and deploy the right solutions resources at the right moments. - Coach the team to lead discovery, deliver tailored demos, and architect solutions that connect Ramp’s platform, financial workflows, ERP systems, and integrations to customer priorities. - Engage directly in the most strategic or complex customer situations, including executive conversations, technical validation, RFPs, and escalations. - Build scalable playbooks, technical assets, demo standards, and knowledge-sharing practices that improve quality and consistency across the team. - Partner with Product, Engineering, Product Marketing, Customer Success, and Services to translate recurring customer needs into actionable feedback, roadmap context, and strong handoffs. - Define and inspect team health metrics such as coverage, conversion, cycle efficiency, solution quality, customer outcomes, and talent development. - Foster an inclusive, high-accountability culture grounded in customer empathy, strong collaboration, speed, and continuous improvement. - Identify practical ways for the team to use AI to improve preparation, documentation, solutioning, and customer-facing work while maintaining quality and good judgment. WHAT YOU NEED - 8+ years of experience in Solutions Consulting, Sales Engineering, Solutions Architecture, Professional Services, or a related customer-facing technical role, including 3+ years of people management or demonstrated player-coach leadership. - Proven success leading teams through complex enterprise sales cycles involving multiple stakeholders, technical requirements, and long decision processes. - Strong understanding of enterprise financial operations, controllership priorities, and accounting workflows. - Working fluency with enterprise systems and integrations, including ERP platforms such as NetSuite, Sage Intacct, or Microsoft Dynamics; APIs; SFTP; and adjacent HRIS, identity, and security systems. - Demonstrated ability to coach others on discovery, solution design, executive storytelling, technical communication, and consultative selling. - Strong operating judgment: able to prioritize limited resources, inspect pipeline health, make trade-offs, and drive execution in a fast-moving environment. - Executive presence and ability to influence senior internal and external stakeholders by translating technical complexity into business value. - Track record of building repeatable processes, assets, and team rituals that elevate performance beyond individual contributions. - Experience building AI-assisted workflows for solutions, sales, or customer-facing teams. - Excellent communication, organizational, and change-management skills. NICE TO HAVE - Experience supporting fintech, spend management, accounting automation, or other financial software products. - Familiarity with government or public-sector selling. - Familiarity with Python, Java, or SQL; data integration and ETL platforms; cloud infrastructure; or enterprise authentication and security protocols. BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: New York, NY (HQ); San Francisco, CA Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE Ramp already serves thousands of organizations in industries where financial operations work differently: construction companies that manage spend by job and cost code, nonprofits that report by fund and grant, and public-sector organizations accountable for every taxpayer dollar. We are hiring a Lead Product Marketing Manager, Verticals to turn those differences into a durable growth advantage. You will own Ramp's vertical GTM operating model, beginning with Construction / A&E and Nonprofits / Public Sector. You will decide where Ramp should invest, become the resident expert on how finance works in those markets, influence the product roadmap, and build the cross-product narratives and motions that help Ramp win. This is not a content-only, campaign-only, or sales-enablement role. You will own the full vertical business read: market choice, ICP, product readiness, positioning, pipeline, win rate, activation, adoption, attach, campaign performance, and the next product or GTM intervention.   WHAT YOU'LL DO - Set the vertical portfolio strategy. Build the business cases, opportunity sizing, segmentation, and priority order that determine where Ramp invests and where it does not. - Own the vertical business number. Define the scorecard for each priority vertical: pipeline, win rate, attach, workflow adoption, product activation, channel performance, and customer proof. - Become the market expert. Understand the financial workflows, buying dynamics, regulatory requirements, technology ecosystems, and competitive landscape of each priority industry. - Influence the product roadmap. Translate market evidence into clear product requirements and help Product distinguish table stakes from differentiators. - Build industry-specific, cross-product narratives. Package Ramp's cards, expenses, accounts payable, procurement, banking, treasury, travel, and accounting automation around the jobs each vertical needs to get done. - Own GTM strategy end to end. Define the ICP, audience, positioning, claims, proof, channel strategy, launch plan, sales motion, and adoption plan for each priority vertical. - Lead market-facing programs. Represent Ramp in the industry through webinars, customer sessions, partner moments, field events, advisory groups, and executive conversations where domain credibility matters. - Make Sales better at winning. Build workflow-based pitch narratives, sales plays, proof, competitive guidance, and demos that help sellers lead with the customer's industry problem instead of a list of Ramp products. - Run the operating cadence. Bring Product, Growth, Sales, Marketing, Partnerships, and Finance into one readout: what is moving, what is stuck, what we learned, and what changes next. - Build the customer and partner feedback loop. Develop trusted relationships with finance leaders, operators, ERP and implementation partners, associations, and sellers closest to the market. - Create the verticalization playbook. Build a repeatable method for taking a vertical from market signal to product requirements, GTM package, measurable growth motion, and scaled investment.   WHAT YOU'LL NEED - 7+ years of experience in B2B software marketing, product marketing, industry marketing, growth, sales strategy, or another strategic GTM function, including significant ownership of product or industry outcomes. - Demonstrated experience building GTM strategy for a specific industry or workflow-heavy market. You should arrive with a strong point of view on verticalization. - Deep familiarity with at least one of the following: Construction or A&E software, accounting and ERP workflows, nonprofits, public sector, procurement, accounts payable, or financial operations. - A record of influencing product strategy using customer, competitive, market, and funnel evidence. - Experience owning integrated B2B campaigns from audience definition and brief through execution, measurement, and iteration. - Strong data literacy. You can interpret pipeline, conversion, win rate, attach, adoption, and channel performance and turn the findings into a decision. - Exceptional written and verbal communication. You can produce a business case for executives, a product narrative for the market, and a sales play that works in a customer meeting. - Proven ability to lead senior partners across Product, Growth, Sales, Partnerships, Communications, and Marketing without relying on formal authority. - High agency and comfort with ambiguity. You build the first version, test it with customers, and improve it quickly. - Fluency with AI tools as part of your everyday research, analysis, writing, and operating workflows.   NICE TO HAVE - Experience at a vertical SaaS company serving construction, accounting, nonprofits, government, or another operationally complex industry. - Direct experience with construction ERPs or accounting platforms such as Sage, Trimble, Acumatica, Deltek, NetSuite, QuickBooks, or Intacct. - Experience marketing a multi-product platform rather than a single point solution. - Existing relationships with finance leaders, industry operators, implementation partners, associations, or technology partners in a priority vertical. - Experience building a new PMM or industry-marketing function from the ground up. BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: Remote-Friendly (Travel Required) | Canada About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Senior Data Center Capacity Delivery Manager at Anthropic, you'll embed with project teams responsible for delivery of leased and partnered data center capacity. Your primary role will be to lead these partners to deliver on the fastest possible schedule while maintaining a safe construction site and protecting the finished quality of the data center. Additionally, you'll validate deal readiness, coordinate complex stakeholder relationships, maintain regular reporting and status tracking, and ensure seamless transitions from project inception through operational readiness. This role offers a unique opportunity to shape how Anthropic secures and activates the compute infrastructure needed to train and deploy frontier AI systems, working at the intersection of real estate, construction, and cutting-edge AI infrastructure. Responsibilities Lead. This is a role where leadership trumps management and process. You will be at one or more project sites 60% of the time or more and expected to shape the culture, approach, and aggressiveness that define those extended site teams. The goal is to impact outcomes in a favorable manner. You are expected to be a force multiplier that develops and enhances the skillset that development partners, general contractors, and key trades bring to the project(s) you are overseeing. That means being a subject matter expert in the various cross functional elements of data center delivery and increasing the team's performance with that knowledge and commitment to alignment. Confirm deal readiness and serve as the gatekeeper to validate transaction viability from Letter of Intent (LOI) through lease execution, ensuring all predevelopment, planning, technical and business requirements are met before commitment Partner with landlords and developers post-deal to serve as Anthropic's primary point of contact, coordinating across internal stakeholders, tracking construction progress, and facilitating critical information exchange between development partners and Anthropic stakeholders Represent Anthropic in key technical and operational decisions required by partners during the development process, ensuring our infrastructure requirements are met while maintaining strong partnerships Drive seamless handoffs to operational state with heavy focus on engagement across networking and deployment teams, enabling rapid workload turn-ups and minimizing time-to-production Prepare and present regular executive reporting on progress versus plan for facility development, supporting forward capacity planning and strategic decision-making Identify and mitigate risks throughout the delivery lifecycle, proactively addressing blockers that could impact timeline, cost, or technical requirements Develop and refine standardized processes and playbooks for facility delivery, driving continuous improvement as Anthropic scales its infrastructure footprint You may be a good fit if you Have 10+ years of experience in the highest level of site leadership managing data center delivery, construction projects, or infrastructure deployment at scale.  You won’t have a big direct team to delegate too but will instead be able to treat the entire cross functional organizations at a jobsite as your team. Have a strong understanding of the end to end (dirt to delivery) data center development process to include entitlements and permitting, planning and supply chain, execution, commissioning, and handover. You are not an administrator but an active player in the arena comfortable making decisions and guiding delivery execution without the need to consult across multiple external parties. You should understand data center design and construction as a simple and repeatable process that allows you to build and optimize delivery without a playbook and with minimal processes and tools handed to you.  If you can think about building a data center the way kids might build a tree fort or construct a lego set, we want to talk. In this role you will often be on an island and responsible for your own destiny. You will have free reign to develop your own approaches with the mission guidance being your only bounds. No one will be there to empower your efforts; you will create your own influence by building relationships at the site and diving in at all phases to deliver success. You must thrive operating with ambiguity and have a willingness to own project outcomes, knowing that the buck stops with you. In this role, it is imperative that you are as comfortable in boots on a job site working to solve productivity issues with a group of blue collar trades as you are working across executives at development and contractor partners to optimize contract and commercial structures that incentivize delivery speed. It's a bonus if you Understand AI/ML infrastructure requirements, including high-density power and advanced cooling systems Have had leadership positions (General Superintendent, Project Manager) within a GC or EPC on hyperscale data center projects or in self performance of hyperscale data center development projects. Prioritize extreme ownership and have the ability to create winning cultures across diverse job sites. Are deeply familiar with lease negotiations, construction contracts, or real estate development processes and have strategies to move those arrangements from traditionally transaction and risk managed arrangements to collaborative efforts that align incentives around accelerated delivery of facilities Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: United States Location: on-site, LC1 (OC21), Santa Ana / Costa Mesa, CA. What you'll do: · Manages the site Materials Review Board (MRB) process · Be fully imbedded within manufacturing process to actively assist in providing resolution, containment, and improvement to nonconforming materials · Review Manufacturing Work Instructions and provide feedback · Support in providing clarification or go/no-go decisions to inspectors · Lead and own the execution of containment of nonconforming items including inspecting to verify non-conforming parts · Assist in the root cause analysis · Manage internal triage with engineering teams to support nonconformance dispositions and ensure the investigative tasks are completed in a timely manner · Ensure data collection and entry is accurate and complete for the MRB process · Communicate the process performance and quality issues to key stakeholders to drive improvements · Track and report out MRB metrics on a weekly basis · Execute vendor return material authorization (RMA) with partnership between Warehouse and Buyers to ensure material leaves the MRB area for suppliers. · Manage quality containment process for material, tooling, and inspection equipment that are involved in non-conformances impacting production capacity and capability. · Create inspection plans for incoming material, in-process inspection steps, and end of line inspection, as per direction from product quality engineers · Train technicians and inspectors to execute inspection plans and data capture in the process. · Propose, develop and implement quality assurance policies and procedures and review with the product quality engineers · Review and propose continuous improvement projects for productivity gains, quality improvements, and benefits to Client's quality policy. · Perform internal audits on processes and procedures, as per direction from Quality Systems Engineer · Deep dive into data and traceability investigations to identify trends, oddities, inconsistencies, and variation that impacts the effectiveness of processes, procedures, and product quality. · Stay current with new inspection technologies and techniques and recommend improvements to the inspection process Required Qualifications: · Must be a US citizen; must be able to obtain and hold a TS/SCI. · Associate degree or equivalent in a relevant fields, or equivalent experience in lieu of education · 5+ years of experience in manufacturing and/or a quality/engineering related role · Experience in a manufacturing environment supporting HW development and quality management · Proficiency with computer-aided design (CAD) software and inspection data management software. · Ability to work independently and as part of a team. · Attention to detail and strong organizational skills. · Experience with Calibrated equipment (calipers, micrometers, CMM, Faro arm, OMM, etc.) · Experience reading and interpreting engineering drawings (wire diagrams, work instructions, CAD) · Analyze inspection results and provide feedback to production, manufacturing engineering, and quality engineering departments. · Experience using investigative equipment such as x-ray inspection, digital characterization, material certificate of compliance, etc. · Experience in a facility with AS9100, ISO9001, IATF 16949 or similar QMS standard · Experience with validation and testing assemblies and their components · Experience with communicating with suppliers and cross functional teams Preferred Qualifications: · Technical or Associates degree in related quality/mechanical/aerospace engineering field · Direct experience conducting First Article Inspection and Report for internal manufacturing · ASQ Certified Quality Engineer, Quality Improvement Associate, or equivalent. IPC-A-610 or IPC-A-620 Certification · Existing work experience is low rate production manufacturing environment · Knowledge & understanding of dimensioning and tolerancing as per Geometric Dimensioning and Tolerancing (GD&T) · Experience with inspection of Electrical and Electronic Components (Power Supplies, PCBs, wire-harnesses) · Experience with Manufacturing processes and their related systems (Jira, MES, ERP, Teamcenter, CAD) · Experience with auditing processes and procedures in a manufacturing environment · Detail oriented self starter with minimal oversight - strong ability to communicate with different cross functional teams

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About Beneficial Deployments Beneficial Deployments ensures AI reaches and benefits the communities that need it most. We partner with nonprofits, foundations, and mission-driven organizations to deploy Claude in education, global health, economic mobility, and life sciences — focusing on raising the floor for those who need it most. About the Role We're looking for an Applied AI Architect to join our Beneficial Deployments, Life Sciences team, focused on helping scientists everywhere get the most from Claude, especially Claude Science. You'll run enablements, workshops and hackathons, build demos that show what frontier models can do for the field, and grow a community of scientists building with Claude. You'll also scale scientific enablement inside Anthropic, so our Applied AI and customer teams can support scientists without you in the room. Responsibilities Be the DRI for scientific enablement: decide what to run, build the materials, deliver them, and measure whether research teams reach daily use of Claude. Lead our programs for activating scientists at scale, such as LSVP and Claude for Researchers: set the goals, design the program and run it. Build demos, notebooks and tutorials that show scientists what frontier models can do in their own work, and be an active voice where scientists share tools online (X, LinkedIn, etc.). Scale scientific enablement inside Anthropic: train our Applied AI and Customer Success teams, and build playbooks they can run without you. Build and lead a scientist community around Claude, and be its ambassador (and support ambassador programs), from small meetups to large conferences. Be the voice of scientists inside Anthropic: turn what you hear into concrete asks and see them through to launch, and partner with Marketing and Comms so campaigns and content reach the scientific community. You Might Be a Good Fit If You Have Deep hands-on expertise with AI tools for science such as Claude Science: you know where they shine and where they break. Real credibility as a scientist: hands-on experience doing science in academic labs, biotechs, pharma or research institutes, ideally as a user of the kind of tools you'll help scientists adopt. Experience building or running programs for scientific communities is a plus. A track record of helping many scientific teams adopt a new tool through demos, trainings, workshops or hackathons. Up to date on AI for science, such as agentic analysis and AI co-scientists, and able to explain it to working scientists. Hands-on experience building with LLM APIs: you can prototype a working demo. You don't need to write production code. Clear written and spoken communication: talks, tutorials and docs that scientists find useful. A track record of taking programs or products from idea to results: you set the direction, did the work and were accountable for the outcome, often with no playbook. Comfort operating in ambiguity: you bring clarity to fuzzy problems, wear multiple hats and do whatever it takes to further the mission. 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: $275,000 — $315,000 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: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. WHOOP is seeking a Director of Global Trade Marketing to lead our global trade marketing organization and accelerate the growth and impact of WHOOP across our rapidly expanding retail footprint. This leader will oversee trade marketing teams across global markets, establishing the strategy, operating rhythms, and cross-functional alignment required to deliver exceptional retail experiences and drive consumer demand around the world. At the center of this role is the ability to build strong relationships and drive alignment across the organization. You will serve as a critical connector between our Trade Marketing teams and the broader WHOOP organization, partnering closely with Sales, Brand, Creative, Media, Product Marketing, Visual Merchandising, Operations, Analytics, and regional leadership to ensure our teams are positioned for success in market. You will develop a high-performing global team, bring clarity to priorities in a fast-moving environment, and translate the broader WHOOP brand and commercial strategy into locally relevant retail experiences that drive awareness, conversion, and sell-through. RESPONSIBILITIES: - Lead, develop, and inspire the global Trade Marketing organization, creating clear priorities, strong operating rhythms, and a culture of collaboration, accountability, and high performance. - Build strong cross-functional partnerships across WHOOP, aligning Brand, Creative, Media, Sales, Operations, Visual Merchandising, Product Marketing, Analytics, and regional stakeholders around retail priorities, launches, campaigns, and key commercial moments. Proactively identify dependencies, remove barriers, and ensure teams have the resources and organizational support needed to execute successfully. - Develop and own the global trade marketing strategy, translating company and brand priorities into scalable plans across retail media, digital and physical retail experiences, product launches, promotions, training, and key commercial moments. - Partner with Trade Marketing and Sales leaders across global markets to build strategic plans for priority retailers, ensuring marketing investment, creative, inventory, training, fixtures, and operational readiness come together to drive measurable awareness, traffic, conversion, and sell-through. - Establish a consistent global approach to planning, budgeting, measurement, and performance optimization, using retailer and consumer insights to prioritize investments, identify incremental growth opportunities, and continuously improve return on trade marketing spend. - Build scalable tools, processes, and ways of working that allow teams to move quickly while maintaining a consistent WHOOP experience globally, balancing global standards with the localization required to win with consumers and retail partners in individual markets. QUALIFICATIONS: - 10+ years of experience in global trade marketing, shopper marketing, retail marketing, omnichannel marketing, or a related discipline, including meaningful experience leading teams in a global or multi-market environment. - Proven people leader with experience building, developing, and empowering high-performing teams across global markets. - Exceptional relationship-building and influencing skills, with a demonstrated ability to bring together diverse cross-functional stakeholders, create alignment without relying solely on authority, and move complex initiatives forward. - Strong understanding of the global retail and omnichannel landscape, with experience developing marketing strategies that connect digital retail, physical retail, retail media, product launches, promotions, and brand activity. - Strategic and commercially minded, with the ability to translate company objectives into clear priorities for teams while remaining close enough to execution to identify barriers and unblock the organization. - Strong analytical and financial acumen, with experience managing significant marketing budgets, evaluating performance, and using consumer, retailer, and sales insights to make investment and prioritization decisions. - Comfortable operating in a fast-growing, highly cross-functional environment where priorities evolve quickly and success requires both building scalable processes and solving immediate business challenges. - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/to determine employment eligibility The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $155,000 - $195,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Location: San Francisco, CA Workplace: OnSite ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE TEAM   This team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on. This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite. Sales Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform.     ABOUT THE ROLE   You'll work on some of the hardest problems in applied AI alongside customers. This is not demos or research, but helping teams build systems they rely on in production. The feedback loop is fast, the impact is visible, and your work directly shapes how AI agents are built in the real world. WHAT YOU’LL DO - Co-architect and co-build production AI agents with customer engineering teams - Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations - Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows - Advise customers post-sale on architecture, best practices, and roadmap-level decisions - Run technical demos, trainings, and workshops for developer audiences - Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers - Occasionally contribute code upstream when it meaningfully improves customer outcomes - This role requires 40% travel to customer sites to support deployment, onboarding, and ongoing technical engagement WHAT YOU’LL BRING - 3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up - Strong Python, JavaScript and systems fundamentals - Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling - Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations - Can explain technical tradeoffs clearly and build trust with developer audiences - Take responsibility for outcomes, not just recommendations - Have a bias toward action and enjoy figuring things out as you go - Are excited about operating AI agents in production, not just building demos NICE TO HAVE’S: - You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks - Worked with LLM evaluation, observability, or guardrails - Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts - Have shipped and operated production software and are comfortable owning systems under real-world constraints COMPENSATION Annual OTE range: $185,000–$315,000 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: New York, NY Workplace: OnSite ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE TEAM This team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on. This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite. Deployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform.   ABOUT THE ROLE You'll work on some of the hardest problems in applied AI alongside customers. You will help customers adopt innovative new practices in agentic engineering, and ensure they ship reliable agents into production, quickly. The feedback loop is fast, the impact is visible, and your work directly shapes how AI agents are built in the real world.   WHAT YOU’LL DO - Co-architect and co-build production AI agents with customer engineering teams and customers - Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations - Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows - Advise customers post-sale on architecture, best practices, and roadmap-level decisions - Build and run tailored demos, trainings, and workshops for developer audiences - Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers - Interface with LangChain's engineering, product and design (EPD) team to share field perspectives and guide product direction based on customer priorities - Occasionally contribute code upstream when it meaningfully improves customer outcomes - This role requires 40% travel to customer sites to support deployment, onboarding, and ongoing technical engagement   WHAT YOU’LL BRING - 1-3 years of experience in software engineering, customer engineering, solutions engineering, founding engineering, or a similarly technical role, ideally at a startup or high-growth company - Strong Python, JavaScript and systems fundamentals - Hands-on experience building and deploying agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling - Strong technical communication skills and builder credibility; Can explain technical tradeoffs clearly, translate complex AI concepts into actionable insights, and build trust with technical customers and engineering teams - Excited to work directly with customers during POCs, architecture reviews, and technical evaluations - Take responsibility for outcomes, not just recommendations - Have a bias toward action and enjoy figuring things out as you go - Are excited about shipping AI agents in production   NICE TO HAVE’S: - You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks - Worked with LLM evaluation, observability, or guardrails - Have experience with cloud environments (AWS, GCP, Azure), containers, and Kubernetes concepts - Have shipped and operated production software and are comfortable owning systems under real-world constraints COMPENSATION Annual OTE range: $160,000-185,000 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: 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. About the Role: As the manager of the Solutions Architect team within Applied AI Enterprise Tech at Anthropic, you will drive the adoption of frontier AI in partnership with the rest of the go to market organization. Our Enterprise Tech customers are some of the world's most sophisticated technology companies, deploying AI at the core of their products and operations.. You'll leverage your technical skills and consultative sales experience to drive positive AI transformation that addresses our customers' business needs, meets their technical requirements, and provides a high degree of reliability and safety. You will be responsible for leading and growing the pre-sales team that partners with account executives to help those companies understand and deploy Anthropic’s products, including Claude for Enterprise, Claude Code, and the API. This will include leveraging your technical skills and consultative sales experience to hire great people, establish processes for the team to scale, and represent Anthropic directly at strategic customer engagements. Responsibilities: Hire, manage, and guide a team of pre-sales Solutions Architects by providing both technical guidance and career development. Set goals for your team in collaboration with sales and other parts of the organization that establish baseline expectations for performance. Act as a technical sponsor for high-value strategic customers and advise them on their overall AI adoption strategies or use case scoping and POC execution. Partner closely with Enterprise Tech sales leadership to identify new strategies to drive adoption of Anthropic products across customer use cases. Work with cross-functional teams like product and engineering to ensure Anthropic prioritizes customer feedback or resolves blockers to adoption. Travel to customer sites or conferences for executive-level sessions, technical workshops, and relationship building. Establish a shared vision for creating solutions that enable beneficial and safe AI in technology products. Contribute to thought leadership through conference presentations, webinars, and technical content creation. Stay current with emerging AI/ML trends and the competitive landscape. You may be a good fit if you: 7+ years of experience as a Solutions Architect, Sales Engineer, or similar pre-sales technical role. 3+ years of technical pre-sales management experience. Have deep technical proficiency with enterprise AI use cases, API integrations, and LLM deployments. Thrive in building and rapidly scaling teams and processes within ambiguous and fast-moving environments. Have excellent communication, collaboration, and coaching abilities. Strong executive presence and ability to foster deep relationships with technical leaders and engineering teams at leading enterprise technology companies. Have at least a high level familiarity with the architecture and operation of LLMs. Have a passion for making powerful technology safe and societally beneficial. Stay up-to-date and informed by taking an active interest in emerging research and industry trends within AI. Strong candidates may have: Enterprise pre-sales leadership at scale : 5+ years leading solution architect teams through hypergrowth (ideally 10 to 50+ people), with direct experience managing senior individual contributors and developing junior talent in complex enterprise software sales environments. AI Technical Depth + Executive Engagement : Hands-on experience with AI platforms and enterprise integration patterns, combined with proven track record engaging C-level stakeholders in $10M+ technical evaluations and enterprise sales cycles. Multi-Segment GTM Experience : Demonstrated success adapting technical approaches across customer segments (commercial to Fortune 100). 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: $1 — $2 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote Who we are Our mission is to bring clarity and control to the world's most complex codebases. AI is accelerating code creation, but the infrastructure to understand, oversee, and evolve that code hasn't kept pace. Sourcegraph gives engineering organizations full visibility across their systems, precise context for their agents, and the ability to execute coordinated code changes at scale. As agentic development becomes the dominant engineering paradigm, we provide the context layer teams need to take control of their codebase. With Code Search, Deep Search, MCP, and Agentic Batch Changes, we deliver on that mission today - giving engineering teams and their AI tools the cross-repo context to navigate massive codebases with confidence, and the ability to make changes across hundreds of repositories at once. Companies like Stripe, Reddit, and Leidos rely on Sourcegraph to ship faster and with higher quality. We're backed by a16z, Sequoia, and Redpoint, and proud to operate as a globally distributed team that values high agency, direct communication, and customer love. If you want to build the infrastructure that lets every engineering team - and every agent they deploy - operate on their codebase with confidence, join us. Hours & location 🌎 While we hire almost anywhere in the world, we have a preference for someone to reside in the following locations for this role. However, if you feel qualified, we welcome you to apply regardless of location. No matter what, working hours must overlap with GMT-3 for at least 20 hours/week. Preferred locations: USA Why this job is exciting As our Compliance Manager, you will own and drive Sourcegraph’s governance, risk, and compliance program, with a primary focus on compliance. This is a highly cross-functional role that works closely with Security, Engineering, IT, Legal, People, Sales, and other teams across the company. You will be responsible for maintaining and evolving our compliance program, including owning certifications such as SOC 2 and ISO 27001 and preparing Sourcegraph for additional frameworks as the business grows. This is not a role where you will simply coordinate work across a large compliance organization. We are looking for someone who has personally owned audit and certification programs end to end: designing and tailoring controls, collecting evidence, training internal teams, working directly with auditors, managing remediation, and driving follow-up work through completion. 📅 Within one month, you will… You will build strong working relationships across Security, Engineering, IT, Legal, People, Sales, and other key stakeholders. You will develop a clear understanding of Sourcegraph’s existing governance, risk, and compliance program, including our ISMS, risk register, controls, certifications, audit processes, and current areas of focus. You will understand how our SOC 2 and ISO 27001 programs operate today, including key owners, evidence requirements, open risks, and upcoming milestones. You will begin participating directly in day-to-day compliance activities and identify opportunities to improve or simplify existing processes. 📅 Within three months, you will… You will have taken ownership of Sourcegraph’s ongoing SOC 2 and ISO 27001 compliance programs. You will independently manage key audit activities, including control testing, evidence collection, stakeholder coordination, auditor requests, findings, and remediation. You will evaluate existing controls and tailor them to Sourcegraph’s environment rather than relying on overly prescriptive or generic auditor recommendations. You will actively maintain Sourcegraph’s risk register, ISMS processes, policies, and compliance documentation. You will help internal teams understand their compliance responsibilities and provide practical guidance that allows them to meet requirements without creating unnecessary process. You will support customer-facing compliance activities, including security questionnaires and compliance-related questions from prospective and existing customers. 📅 Within six months, you will… You will have successfully led Sourcegraph through an audit or major certification milestone. You will own the operating rhythm of the GRC program, including ISMS meetings, risk management activities, control reviews, documentation updates, and audit preparation. You will have established a forward-looking compliance roadmap covering renewals, upcoming audits, new frameworks, regulatory requirements, and opportunities to improve how the program operates. You will be able to independently identify control gaps or deficiencies, assess their risk, recommend practical solutions, and drive remediation with both technical and non-technical stakeholders. You will have introduced automation, AI, or other process improvements that reduce manual compliance work while maintaining or improving program quality. About you You have built or operated compliance programs in a fast-moving technology environment and have personally owned major compliance initiatives from beginning to end. You are comfortable operating independently, getting into the details, and doing the work yourself while coordinating with stakeholders across the organization. You understand that frameworks such as SOC 2 and ISO 27001 define requirements but often leave significant flexibility in how an organization satisfies them, and you know how to translate those requirements into controls that fit the business. You are also comfortable working with technical teams and modern cloud environments. You can understand enough about infrastructure, systems, access controls, software development, and security processes to ask the right questions and effectively translate between auditors and technical teams. 5+ years of experience in governance, risk, compliance, information security compliance, or a related role. Demonstrated end-to-end ownership of SOC 2 and ISO 27001 programs, ideally within a SaaS, technology startup, or similarly fast-moving environment. Experience personally managing external audits and certification processes, including audit preparation, evidence collection, control testing, stakeholder training, auditor interaction, remediation, and follow-up. Strong understanding of risk management, control design, ISMS governance, and compliance program operations. Experience adapting compliance controls to an organization's actual environment rather than applying generic or overly prescriptive requirements. Familiarity with cloud-based technology environments and the security and compliance considerations associated with a distributed or remote workforce. Strong project management and organizational skills with the ability to drive cross-functional initiatives from inception through completion. Excellent written and verbal communication skills and the ability to explain compliance requirements clearly to both technical and non-technical audiences. A hands-on mindset and willingness to personally execute the work required to keep the compliance program operating effectively. Curiosity about AI, automation, and emerging technology, with an interest in using new tools to improve compliance workflows. Nice-to-haves: Experience with additional security, privacy, or compliance frameworks such as GDPR, HIPAA, HITRUST, FedRAMP, FISMA, PCI DSS, or related standards. Experience supporting security questionnaires, customer assurance processes, or sales-related compliance activities. Experience with GRC platforms, compliance automation tools, or building internal automation for evidence collection and control monitoring. Relevant certifications such as CISA, CISSP, ISO 27001 Lead Implementer or Lead Auditor, CRISC, or similar credentials. Level 📊 This job is an IC3. You can read more about our job leveling philosophy in our Handbook. Compensation We pay above-market salaries because we want to hire exceptional people who can focus on building great products, not worrying about paying bills. As an open and transparent company, our compensation philosophy and pay bands are visible to every Sourcegraph teammate, and we strive to make our approach equitable, explainable, and competitive. Your base salary is determined by the IC3 pay band for your location zone (1-4). Our pay bands are informed by market data and designed to ensure competitive compensation wherever you live. During the recruiting process, we'll discuss the range applicable to you based on job level, relevant skills, experience, qualifications, and location zone. The starting salary for the IC3 pay band in each zone is: Zone 2: $137,718 USD Zone 3: $102,899 USD In addition to competitive cash compensation, we offer meaningful equity (because when Sourcegraph succeeds, we want you to succeed, too) and generous perks & benefits . Interview process Below is the interview process you can expect for this role (you can read more about the types of interviews in our Handbook). It may look like a lot of steps, but rest assured that we move quickly and the steps are designed to help you get the information needed to determine if we’re the right fit for you… Interviewing is a two-way street, after all! We expect the interview process to take 5 hours in total. 👋 Introduction Stage - we have initial conversations to get to know you better… [30m] Recruiter Screen [30m] Hiring Manager Screen 🧑‍💻 Team Interview Stage - we then delve into your experience in more depth and introduce you to members of the team, including cross-functional partners… [Async] Working assignment [60m] Assignment Walkthrough + Review [60m] Resume Deep Dive [60m] Technical Interview 🎉 Final Interview Stage - we move you to our final round, where you gain a better understanding of our business and values holistically… [30m] Values [30m] Leadership We check references and conduct your background check Please note - you are welcome to request additional conversations with anyone you would like to meet, but didn’t get to meet during the interview process. Learn more about us You can learn more about what it is like to work at Sourcegraph by reading our handbook . We are an ambitious team who are collectively working hard to build the most influential company in the world. You can read more about our culture , competitive compensation and benefits here. Sourcegraph is an equal opportunity workplace; we welcome people from all backgrounds. Sourcegraph participates in E-Verify for U.S. Employees.

Location: Remote 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 We're looking for an ML infrastructure engineer to own model evaluation at Runway, end to end. Every decision we make about a model – which checkpoint to keep training, what to ship to millions of users, which datamix and architecture shows the most promise – rests on evals. Today that work is spread across the organization. You'll turn it into one platform. Your job will be to design and build the systems that generate samples at scale, score them with automated metrics and human annotations, track results across checkpoints and releases, and put the answers in front of researchers in minutes rather than days. You'll define what "better" means operationally – how we measure it, how confident we are, and how a result becomes a ship/no-ship decision. You'll be embedded within research teams as a member of ML Platform, and you'll set the technical direction for evals across the company. This is an extremely high-leverage role: the quality of our models is bounded by how well we can measure them. A PEEK AT OUR TECHNICAL STACK Our inference and training code is written in Python (PyTorch) and is cloud-native. We leverage multiple clouds and use a combination of Kubernetes native and home-grown tooling for efficient job orchestration. We’re big users of agentic development and operations. We have a robust internal platform and provide broad access to the latest models and harnesses. You’ll have access to best-in-class models, agents, GPUs, storage and cloud services you need to drive a world class evaluation pipeline that helps us deliver frontier models. WHAT YOU'LL DO - Own the evaluation platform end to end: the tooling and systems required to generate, annotate, review and adapt at frontier scale - Define the CLIs, APIs, GUIs and storage layers required to make this process seamless, fast, sophisticated and collaborative - Work directly with research teams on video, image, audio, agents, and robotics to understand what they need to measure and build it, then generalize the result into the platform - Help set the standards for how we evaluate models at Runway: reproducibility, metric definitions, reporting formats, and when a result is trustworthy enough to act on - Support broad adoption of the platform and its integration throughout Runway’s research efforts across training, production model serving and more - Contribute broadly as a member of the ML Platform team to tools and systems that help Runway train and serve frontier models WHAT YOU'LL NEED - 5+ years of experience building ML infrastructure or data platforms in production environments, with at least some of that time spent on evaluation, experimentation, or benchmarking systems - Strong Python and PyTorch, and hands-on experience running large batch GPU workloads on Kubernetes - Experience designing data pipelines and storage for large volumes of media or model outputs, with attention to versioning and reproducibility - Familiarity with experimental statistics: paired comparisons, confidence intervals, multiple-comparison pitfalls, inter-rater agreement - Comfort building internal tools end to end, from the command line to the browser - Ability to lead a broad technical area: gather requirements from many teams, set direction, make tradeoffs, and drive a roadmap without waiting to be told - Familiarity with the full model development lifecycle: data, training, evaluation, serving - Self-starter who can work embedded with research teams and move fast - Strong systems thinking and pragmatic approach to production reliability - Humility and open mindedness; at Runway we love to learn from one another NICE TO HAVE - Track record of building evaluation suites for generative models - Hands-on work with LLM- or VLM-as-judge pipelines - Experience with online experimentation platforms and connecting offline metrics to product outcomes - Prior work evaluating agents or robotics policies 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: Remote GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Professional Services Engineer at GitLab, you'll partner with public sector customers to help them successfully adopt and expand GitLab across their organization. You'll deliver services such as installation, migration, training, and advisory engagements, meeting customers where they are, from single-node Omnibus installations to larger reference architectures using infrastructure as code and configuration as code. In this role, you'll balance hands-on technical delivery with clear communication and project ownership, helping customers make practical choices that fit their goals, timelines, and environments. You'll also work closely with project managers and engagement managers to make delivery more consistent and improve how we run engagements. As you work with customers, you'll act as a feedback loop to GitLab's product and engineering teams by communicating insights that can improve GitLab features and delivery processes. This role is a strong fit for someone who enjoys solving complex problems, working across multiple engagements, and succeeding in a remote, largely asynchronous environment. Some examples of our projects: Delivering GitLab installations and upgrades using tools like Terraform or Ansible, from simple deployments to highly available architectures Leading migrations from existing systems to GitLab SaaS or self-managed GitLab, including planning, execution, and knowledge transfer What you'll do Deliver Professional Services engagements such as installation, migration, training, and advisory services to help customers achieve successful outcomes with GitLab, including completing projects on scope and on schedule. Plan and execute GitLab deployments across a range of architectures, from single-node Omnibus installations to large reference architectures using infrastructure as code and configuration as code practices. Oversee and perform migrations from multiple source systems to GitLab SaaS or self-managed GitLab, helping customers reduce risk, maintain momentum during change, and complete cutovers with minimal disruption. Provide technical guidance across the GitLab feature stack, helping customers adopt best practices that fit their goals, constraints, and operating environment. Partner closely with project managers and engagement managers by providing feedback and updates that improve delivery consistency, keep work on schedule, and reduce delivery issues across engagements. Manage and deliver multiple customer projects at once, balancing customer outcomes with awareness of billable time and delivery priorities to meet utilization and delivery goals. Mentor and assist other Professional Services Engineers by communicating expertise in specific technical areas and contributing to stronger, more repeatable delivery patterns. Work closely with GitLab's product and engineering teams to remove blockers for customers and help improve GitLab features and delivery processes based on field insights, leading to faster issue resolution and more consistent delivery. What you'll bring Professional experience with one or more infrastructure as code or configuration as code tools, such as Terraform, Ansible, Packer, Puppet, or Chef. Experience with one or more infrastructure as code or configuration as code tools such as Terraform, Ansible, Packer, Puppet, or Chef. Active Secrets or TS/SCI clearance is required for this role due to the nature of the customers you’ll support. Occasional travel to SCIF sites as needed. Desirable locations - DC Metro, GA, TX, AL, CO or UT Due to government security requirements, you must be a United States Citizen (defined as any individual who is a citizen of the United States by law, birth, or naturalization) to be eligible for this position Ability to support public sector customers with TS/SCI clearance-related requirements for their environments and engagements. Ability to lead technical delivery end-to-end, including discovery, planning, documentation, and knowledge transfer. About the team The Professional Services Engineer is part of GitLab's Professional Services organization, helping customers adopt GitLab successfully through installation, migration, training, and advisory engagements. The team works closely with Project Managers and customer stakeholders to deliver successful outcomes and help organizations expand how they use GitLab. 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 $136,080 — $230,040 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: San Francisco, CA Workplace: OnSite ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE TEAM This team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on. This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite. Deployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform. ABOUT THE ROLE You'll work on some of the hardest problems in applied AI alongside customers. You will help customers adopt innovative new practices in agentic engineering, and ensure they ship reliable agents into production, quickly. The feedback loop is fast, the impact is visible, and your work directly shapes how AI agents are built in the real world. WHAT YOU’LL DO - Co-architect and co-build production AI agents with customer engineering teams and customers - Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations - Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows - Advise customers post-sale on architecture, best practices, and roadmap-level decisions - Build and run tailored demos, trainings, and workshops for developer audiences - Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers - Interface with LangChain's engineering, product and design (EPD) team to share field perspectives and guide product direction based on customer priorities - Occasionally contribute code upstream when it meaningfully improves customer outcomes - This role requires 40% travel to customer sites to support deployment, onboarding, and ongoing technical engagement WHAT YOU’LL BRING - 1-3 years of experience in software engineering, customer engineering, solutions engineering, founding engineering, or a similarly technical role, ideally at a startup or high-growth company - Strong Python, JavaScript and systems fundamentals - Hands-on experience building and deploying agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling - Strong technical communication skills and builder credibility; Can explain technical tradeoffs clearly, translate complex AI concepts into actionable insights, and build trust with technical customers and engineering teams - Excited to work directly with customers during POCs, architecture reviews, and technical evaluations - Take responsibility for outcomes, not just recommendations - Have a bias toward action and enjoy figuring things out as you go - Are excited about shipping AI agents in production NICE TO HAVE’S: - You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks - Worked with LLM evaluation, observability, or guardrails - Have experience with cloud environments (AWS, GCP, Azure), containers, and Kubernetes concepts - Have shipped and operated production software and are comfortable owning systems under real-world constraints COMPENSATION Annual OTE range: $160,000-185,000 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: San Francisco, CA | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Procurement Operations is the front door for buying at Anthropic. We sit inside Finance Operations and own the path from “I need to buy something” to a signed agreement, an accurate purchase order, and clean spend data at month end. We are hiring a Procurement Operations Business Partner to own that path for our technology spend: business applications, SaaS tools, cloud and infrastructure services, and the engineering and developer tools our teams build with. This portfolio is software heavy: new tools evaluated and onboarded regularly, licenses that renew on their own schedule, and vendors billed on seats, usage, or tiered subscription terms rather than a single invoice. You will be the person who makes buying software feel simple to the teams who depend on it and reliable to the Finance stakeholders behind it. This is a high-volume role with an accounting core. You ensure every software purchase in your portfolio is coded, dated, received, and accrued correctly, so spend is right in the books every month. Expect a steady queue of new tool requests, renewals, and license changes, and expect to be the person Accounting trusts on all of it. We use Claude as part of our daily workflow and are looking for someone who wants to help define what an AI-native procurement operations function looks like, including how AI changes intake, contract and security review, vendor coordination, and requester support. Responsibilities Own the purchasing process Manage a high volume of purchase requests, renewals, and license changes each month across the organization, keeping speed and accuracy high at the same time. Serve as the primary procurement partner for the teams buying in your categories, guiding requesters from initial request to signed agreement and issued purchase order. Review every purchase request in your portfolio for the things that matter downstream: the right vendor record and contracting entity, complete commercial documents, correct spend categorization and service dates, and the approvals the purchase actually needs. Determine what else each request requires before it can move, whether that is an order form, a data privacy review, or a third party risk assessment, and route it to the right reviewers the first time. Partner with Security to run a vendor security review on every new tool and at every renewal, and hold the line that nothing goes live without one. Launch and track contract review with Legal, keep it moving, and confirm the executed agreement supports the purchase order before it is issued. Structure purchase orders so they match how the vendor bills (seat-based, usage-based, tiered subscription, or flat annual fee) and how Accounting needs to see the spend, with the right GL account, cost center, and service period on every line. Manage renewals, true ups, and seat count changes over the life of each agreement. Track license counts and renewal dates across your portfolio so nothing auto-renews or lapses by surprise, and flag underused or overlapping tools to budget owners ahead of the next renewal cycle. Financial completeness and accuracy Code every purchase order correctly at creation, including GL account, spend category, cost center, and service period, and understand how each choice lands in the financials (expense versus prepaid, annual versus monthly recognition). Work the hard cases with Accounting: multi year subscriptions paid upfront, mid term seat additions, true ups, credits, and contracts amended mid cycle. Own the open purchase order book: receipts recorded against actual delivery, periodic reviews, stale line cleanup, coding corrections, and timely closures, so PO, receipt, and invoice agree. Serve as the first line reviewer for month-end accruals on your portfolio, gathering estimates from vendors and budget owners for variable spend and confirming or correcting proposed amounts so Accounting can close on time. Partner with Accounts Payable to resolve invoice holds, PO mismatches, and receiving questions so vendors are paid on time and spend lands where it belongs. Support audit and reporting requests that touch your portfolio, including commitment schedules and control evidence, with data you can stand behind. Be the front door Be visible and responsive in your teams' Slack channels and office hours; answer routine purchasing questions quickly and escalate real blockers with context. Apply purchasing policy consistently and explain the why, including approval thresholds, signature authority, and when an exception is and is not available. Translate procurement, legal, security, and finance requirements into plain language for engineers, IT, and business stakeholders, and carry their operating reality back to those teams so controls fit the work. Keep a regular check in with your highest volume teams so upcoming purchases and renewals are visible early and nothing urgent arrives as a surprise. Continuous improvement Maintain the playbooks, intake guidance, and standard operating procedures for your portfolio so the path is repeatable and does not live in one person's head. Identify manual steps, repeat questions, and failure points and fix them, including where Claude and workflow automation with AI can take work off requesters and the team. Minimum qualifications Proven track record of owning a high-volume purchasing portfolio end-to-end in a procure-to-pay and intake platform. Solid working knowledge of accrual accounting as it applies to purchasing: accruals and reversals, service period and cutoff, prepaid versus expense, and GL and cost center coding. You can explain how a purchase order becomes an entry in the general ledger. Experience buying and managing software or SaaS at scale, including seat-based, usage-based, and tiered subscription billing models. Experience owning the tool and vendor lifecycle end to end, from intake through security review, contracting, renewal, and sunset, with the judgment to know when to push a request through and when to slow it down. Preferred qualifications 7+ years of procurement operations, purchasing, or vendor operations, including time supporting IT, engineering, or business systems teams. Background in accounting, accounts payable, or a month-end close process. Direct experience with Zip, Workday Financials, and Ironclad. Prior ownership of month-end accrual review or open PO reconciliation for a large, variable spend portfolio. Experience with software asset management or license optimization, including identifying underused or redundant tools. Experience designing tiered intake or approval frameworks that sped up low risk purchases without weakening controls. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $190,000 — $230,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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: Almaty, Kazakhstan Workplace: OnSite WHY WORK AT HIGGSFIELD AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $700M in annual revenue run rate, 30M+ users worldwide, 10M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like. WHO WE ARE LOOKING FOR Everyone at Higgsfield is an A-player. We ship 200+ releases a year, serve 25M+ users across the world, and operate at the frontier of generative AI. We're looking for a Product Legal Counsel who can keep up with that speed: a lawyer who finds the path to "yes, and here's how" instead of defaulting to "no." You bring: - High agency and extreme ownership — you embed with product teams, you don't wait for questions to land on your desk. - Speed with judgment: pragmatic, risk-calibrated advice delivered on product timelines, not law-firm timelines. - Genuine curiosity about generative AI and the fast-moving legal landscape around it. - The ability to translate complex legal concepts into clear, actionable guidance for engineers, designers, and growth teams. - Comfort with ambiguity: many of the questions you'll face have no settled answer yet — you'll form defensible positions where precedent doesn't exist. WHAT YOU WILL WORK ON - Act as the primary legal partner to product, engineering, and growth teams: review new features, models, and launches before they ship, at the pace we ship them. - Own user-facing legal documents: Terms of Service, Privacy Policy, community and content guidelines, creator program terms (including Higgsfield Earn), and consumer disclosures across markets. - Advise on intellectual property questions core to generative AI: training data, model outputs, user-generated content, licensing, and copyright risk — and help shape our positions as the law evolves. - Build and refine our approach to content policy and trust & safety: likeness and voice rights, impersonation, moderation obligations, and takedown processes (including DMCA and equivalents). - Advise on privacy and data protection compliance across our global user base (GDPR, CCPA, and other applicable regimes), partnering with engineering on privacy-by-design. - Track and interpret emerging AI regulation worldwide (EU AI Act and beyond) and translate it into concrete product requirements. - Support commercial and enterprise work: review agreements with Fortune 500 clients, partners, and vendors touching the product. - Manage and coordinate outside counsel efficiently where specialist or local-law expertise is needed. - Build scalable legal processes — launch review, escalation paths, self-serve guidance — so legal accelerates the company instead of bottlenecking it. YOUR MUST-HAVES - Qualified lawyer with 6+ years of experience, including meaningful time as product counsel or technology/IP counsel at a fast-moving tech company (in-house) or advising tech clients at a top firm. - Strong grounding in at least two of: intellectual property, privacy/data protection, consumer protection, content/platform regulation. - Hands-on experience drafting and maintaining user-facing terms and policies for a consumer or platform product. - Proven ability to give fast, practical, risk-weighted advice to non-lawyers in a shipping-focused environment. - Experience working with international/cross-border legal questions for a global user base. - Excellent written and spoken English — you'll draft user-facing documents and advise the team in English daily. YOUR GOOD-TO-HAVES - Direct experience with generative AI, ML, or media/entertainment products and their IP questions. - Familiarity with the EU AI Act, DSA, or other emerging platform and AI regulation. - Experience with trust & safety, content moderation, or rights-of-publicity matters. - Experience supporting enterprise SaaS or API commercial agreements. - Additional languages (Russian is a plus for working with the Almaty team). THE DEAL - Full-time, on-site role in our Almaty office. - Competitive salary in USD. - Opportunity to grow alongside one of the fastest-scaling AI companies globally. - High ownership, fast learning, and meaningful impact from day one.

Location: New York, NY (HQ); San Francisco, CA; Remote (US) Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE You will be a front-line manager to a group of Account Executives (AEs) who will be hunting, pitching, and closing new business for Ramp. You will be responsible for 1:1 coaching, mentoring, and strategy development, working closely with leaders across Sales, Marketing, Product, and the executive team to drive positive outcomes for this segment. As a key member of the sales leadership team, you will have the opportunity to help build and refine Ramp’s sales development motion. WHAT YOU'LL DO - Manage, develop and execute career development and leadership plan for a group of Account Executives and provide daily 1:1 mentoring and coaching - Set and maintain a high-performing culture and morale by overseeing the daily activities and quota performance management of individual AEs to ensure key performance metrics are met - Hire and train new AEs on Ramp’s product, buyer personas, competition, and tools through various methods (ie. role-plays) - Strategize with sales and marketing counterparts on pipeline and prospecting initiatives to meet company objectives - Build dashboards and report on customer and team performance and forecast to senior leadership - Improve team output and efficiency over time by optimizing systems and processes - Build and execute on pipeline with new clients and partners to run the end-to-end sales process - Establish a library of playbook resources for the AE team - Partner with Ops to create and polish existing metrics that evaluate the individual and team’s performance - Represent the AE team cross-functionally with leaders of other departments WHAT YOU’LL NEED - Minimum 5 years of quota carrying sales experience as an individual contributor - Minimum 3 years of experience building and leading successful, high-performing sales teams - Demonstrated success in fast-paced, results-oriented GTM environments, ideally at SaaS companies, and history of consistently performing above quota in an outbound sales environment - Passion and excitement for hiring, with a thoughtful approach to team planning and development  - Experience working cross-functionally to build successful top of the funnel activities to drive more pipeline; Strong collaboration and influencing skills demonstrated through excellent communication and presentation skills  - Ability to articulate contractual, technical, and financial value points to customers, including executive leaders - Proficiency in using AI tools and familiarity with email and call automation platforms - Ability to leverage data to drive decisions, create systems, and identify process improvements to improve efficiency NICE TO HAVES - Experience with financial services sales in a full cycle sales role - Financial services or Fintech experience at a high-growth startup - Bachelor’s degree from an accredited four year university BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: Remote Ireland; Remote, United Kingdom 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 This position is 100% remote and will be based in the UK and Ireland. GitLab is looking for an enthusiastic and strategic Business Development Representative (BDR) to join our growing Sales team. As a BDR at GitLab, you get the opportunity to lead the initial outreach to targeted accounts working in conjunction with the Field and Digital Marketing teams as well as the Sales and Customer Success teams. In this role you'll leverage creative marketing and sales tactics to prospect and engage with multiple buyer personas and roles to introduce GitLab's AI-powered DevSecOps platform. You'll be responsible for generating qualified meetings and pipeline for GitLab's Sales organization. Our BDRs come from a diverse background. Many have worked in closing roles previously or managed teams. We have an extensive onboarding and training program at GitLab and you'll be provided with necessary DevOps and GitLab knowledge to fulfill your role. What you’ll do Execute outbound prospecting initiatives to generate qualified meetings and pipeline in your assigned territory. Generate New Logo opportunities and Growth opportunities on existing customer accounts. Conduct high-level discovery conversations with target accounts to understand business needs, qualify opportunities, and create Sales Accepted Opportunities (SAOs). Meet or exceed monthly and quarterly BDR-sourced Sales Accepted Opportunity (SAO) targets (e.g., Stage 1 and Stage 3 opportunities) by consistently converting qualified prospects into opportunities. Research and prioritize target accounts using business and industry knowledge to identify key players, uncover compelling events, and develop tailored outreach strategies. Execute a multi-touch outreach cadence (call, email, social, etc.) to all prospects in your assigned territory using Outreach to maximize engagement and conversion rates. Manage, track, and accurately report all prospecting activities and pipeline in Salesforce to provide clear visibility into performance and forecast. Collaborate with Field, Corporate, and Digital Marketing, Sales, and Customer Success teams to build targeted account lists, campaigns, and call strategies. Attend regional marketing events to engage participants, generate leads, and drive qualified Sales Accepted Opportunities (SAOs). Document and continuously improve Business Development Representative processes in the GitLab handbook in partnership with your Business Development Manager. Mentor new BDR hires to help them ramp quickly and navigate key accounts. What you’ll bring Fluency in German. Previous tech industry experience in an outbound sales development role is required. Positive and energetic phone skills, excellent listening skills, strong writing skills. Ability to prioritize tasks, manage a high volume of outreach, and consistently follow through on prospecting activities. Proven experience taking initiative, persisting through setbacks, and independently driving projects or activities through to successful outcomes. Alignment with our values and working in accordance with those values. Knowledge of business process, roles, and organizational structure. Proficiency in using Salesforce, Sales Navigator, and Outreach or similar prospecting and sequencing tools. The ability to travel for events such as trainings, team offsites, customer meetings, etc. Proficiency in English, our company language, is required for effective communication. About the team As part of GitLab's growing Sales team, you will work closely with the Field and Digital Marketing teams, as well as the Sales and Customer Success teams. Our BDRs come from diverse backgrounds, and we provide extensive onboarding and training so you have the DevOps and GitLab knowledge you need to succeed. You'll partner with Account Executives, working fully remote and distributed across multiple U.S. time zones, collaborating asynchronously through GitLab, video calls, and shared playbooks. This role provides a clear path for advancing to an Account Executive position within GitLab. Remote-Global 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 .