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Location: Remote-Friendly, United States About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's compute runs on a growing global portfolio of data centers built with development partners.  As a Senior Field Engineer on the Data Center Design and Engineering team, you will work side by side with developers, general contractors and engineers of record to resolve technical issues on site and speed up construction. You will spend most of your time on active sites, acting as our team's eyes, voice and technical judgment in the field. You will spot problems first, get the right people moving, and stay with each issue until it is closed. You don't need a data center background. We care more about whether you have delivered complex industrial projects from the field and can get contractors and partners to act when you have no formal authority over them. What you'll do Be our engineering presence on site. You will walk installed work against the approved design and build working relationships with developers, general contractors, engineers of record, vendors and commissioning teams. You will hold design acceptance on our team's behalf, deciding whether installed work meets the design. When field conditions and drawings disagree, you will be the first call. You will settle what you can on the spot and bring in the right discipline engineer for the rest. More than 50% of your working time will be at project sites, often with overnight travel across multiple sites. The rest will be remote from your home base. Get issues closed. You will keep one prioritized list of open engineering issues for your sites, each with an owner and a date. You will follow up in person, challenge dates that don't hold up, and escalate early with a clear recommendation when something is stuck. Find out why things fail. When equipment, an installation or a test fails, you will gather the evidence, test the first explanation, and trace the failure to its underlying cause. You will confirm that the fix works and check whether other sites carry the same risk. Clear the path to commissioning and handover. You will check the interfaces between power, cooling, controls and structure before they surface as test failures. You will drive RFIs, deviations and field changes to decisions, so that open engineering questions don't hold up the crews. Bring the field back into the design. You will turn recurring site problems into changes to our designs, standards and audit checklists. Each project should make the next one easier to deliver. What this role is not You won't manage construction crews or direct contractors' means and methods; those stay with our construction delivery partners. You will work with our discipline engineers and hold the field view, rather than produce design documents. You may be a good fit if you Have spent years on active project sites in energy, power, heavy industrial, data center or similar environments, as an engineer, project manager, or construction or commissioning lead Can read drawings, single-line diagrams, P&IDs, specifications and schedules well enough to see where they disagree with what's been installed Can give specific examples of persuading contractors, vendors or partners who didn't report to you to change course Hold your position under pressure, back it with evidence, deliver bad news early, and change your mind when the facts change Have led structured failure investigations, using a method such as 5 Whys or 8D, and seen the corrective actions through Write short, factual reports that a busy reader can act on Treat safety as your own job, and will stop work that isn't safe Have a degree in engineering, construction management or a related field, or equivalent practical experience Strong candidates may also have Experience as an owner's representative overseeing an EPC or general contractor Commissioning, startup or system turnover experience Worked in LNG, refining, offshore, power generation, semiconductor or naval environments An electrical, mechanical or civil, structural and architectural (CSA) engineering background A PE license, PMP or OSHA 30 certification Familiarity with tools such as Procore or Primavera P6 The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Amman, Jordan We are looking for a Marketing Database & Research Coordinator who will manage, maintain, and enrich our marketing database, ensuring data accuracy, consistency, effective segmentation, and campaign targeting. The role also involves conducting regional market research, identifying relevant industry events, assessing market opportunities, tracking trends, and monitoring developments across different markets. Responsibilities Database Management Define and enforce data standards across the database, including naming conventions, field formats, job title and industry classifications, country and city values, and phone and email formats. Standardize incoming records so every entry follows the same structure, whatever its source. Find and merge duplicate records, and resolve conflicting information between entries. Maintain data entry guidelines and ensure consistency. Acquiring New Contacts Find and add new contacts and accounts that match the company's target profiles by industry, company size, seniority, and region. Source contacts through company websites, industry directories, association member lists, event attendee and exhibitor lists, and enrichment platforms. Capture and process leads from events, webinars, campaigns, and inbound channels, and validate them before they enter the marketing database. Build targeted contact lists by region and segment to support campaigns and sales outreach. Track contact acquisition against targets for each region. Keeping Data Up to Date Verify and refresh existing records on a regular schedule, updating job changes, company changes, new decision-makers, and contact details. Detect and fix outdated, bounced, or invalid contacts, and archive records that are no longer relevant. Enrich incomplete records with missing fields such as title, department, company size, and location. Run periodic data health audits and report on completeness, accuracy, and freshness. Monitor news and announcements such as mergers, acquisitions, leadership changes, and closures, and reflect them in the database. Regional Events Research Research and maintain a regional calendar of relevant industry events, including conferences, exhibitions, trade shows, summits, and networking forums. Evaluate each event's relevance using audience profile, attendee seniority, exhibitors, sponsors, past attendance, and cost. Recommend events to attend, sponsor, or exhibit at, with a short rationale for each. Collect speaker, exhibitor, and attendee information from events to feed new contacts into the database. Monitoring Regional Developments Continuously monitor developments in each region that could affect the business, including regulatory changes, government initiatives, economic conditions, major projects, tenders, and industry shifts. Set up news alerts and tracking sources for each region. Flag significant developments to relevant stakeholders promptly, with a short assessment of likely impact. Requirements A bachelor's degree in Business, Marketing, Economics, Information Systems, or a related field. 1-2 years of experience in database management, lead research, or market research. Advanced Excel skills, including lookups, pivot tables, data validation, conditional formatting, and Power Query. Hands-on CRM experience including imports, deduplication, and data maintenance. Proficiency with contact sourcing and enrichment tools. Experience with market research sources, industry reports, and government and trade publications. Experience with a reporting or BI tool is a plus. Exceptional attention to detail and a disciplined approach to data consistency. Strong research skills and the ability to judge whether a source is reliable. Strong organization and the ability to manage recurring tasks across several regions. Awareness of data privacy regulations such as GDPR and local data protection laws. Professional fluency in English.

Location: Croatia; Czechia; Moldova; Lithuania; Albania; Costa Rica Crystalia Glass LLC is a U.S.-based manufacturer and provider of premium glass solutions, specializing in custom glass partitions for residential, commercial, and institutional projects. We operate a full-cycle model — from design and manufacturing to sales, delivery, and installation — with production facilities in the United States and Europe. The U.S. market is our core focus. Crystalia Glass is a stable, scaling business, serving B2C, B2B, and B2G clients across multiple states. We combine strong product quality, competitive pricing, high service standards, and operational efficiency to set a benchmark within our industry. We are strengthening our commercial function and are looking for a Sales Enablement Manager to own the quality of sales execution across the full funnel, from first contact and needs discovery to closing and order handover. This is a hands-on, senior individual contributor role with no direct reports. Sales Enablement Manager will diagnose why deals are lost, coach sales teams, build and adapt sales standards and CRM stage logic, and embed AI into everyday sales work. Success depends on driving adoption across sales teams and measuring real change in sales representatives’ behavior and conversion. Employment Type: - Full-time 8.30 am - 5 pm, NY (EST zone). - Remote work. - B2B contract (sole proprietorship status or corporate entity). Key responsibilities: Analyze performance Review won, lost and stalled deals across funnel stages, matching calls and messages against CRM history and using AI to flag missed questions, weak arguments, unhandled objections and missing next steps. Assess each sales stage (discovery, qualification, value presentation, objection handling, negotiation, closing and follow-up), including how scripts are adapted to the client and whether call goals are achieved. Identify root causes of performance gaps (skills, knowledge, process or tools) and recommend targeted fixes. Develop the team Run one-to-one and team call and deal reviews, role-plays (including AI-simulated buyers and objections), live call observation and product knowledge checks. Build individual development plans and coach sales representatives on specific sales behaviors. Coach team leads to apply shared quality criteria in daily work with their teams. Track results Track whether new behaviors and AI workflows are applied in real deals and how they affect conversion, deal outcomes and time spent. Standards and CRM Audit existing sales standards for gaps, contradictions and requirements that don’t help the sale. Write and update sales standards: scripts, objection guides, follow-up rules, contact quality criteria and product instructions, as well as CRM stage rules — the goal, entry and exit criteria, required data, sales representative actions and next steps for each stage, ownership at handover, and SLAs agreed with the process owner (response time, working hours, exceptions and escalation). Pilot and roll out new standards: incorporate feedback from sales representatives and team leads, agree commercial rules with sales leadership, write requirements for CRM fields, prompts, notifications, reports and automation, take part in acceptance testing, and train sales representatives after changes. Monitor adherence to standards in the CRM: overdue tasks, missing next steps, unconfirmed stage moves, missing loss reasons and handover quality. AI in sales work Build reusable AI workflows for sales representatives and team leads (call and meeting preparation, meeting summaries, follow-up messages, discovery question planning and checking proposals against client and product data), train sales teams to use them, observe real usage and fix errors. Work with AI agents and bots; maintain instructions, templates and knowledge-base materials. Use AI to help sales representatives plan next steps in the CRM, making sure they review every AI-drafted message or data update before it goes to a client or changes key deal information. Build enablement assets Build and maintain the team skills map, call and deal scorecard, prioritized list of loss reasons and a library of examples and exercises. Requirements Experience in sales enablement, sales coaching or sales development in a comparable market, with personal responsibility for identifying gaps in sales representatives’ performance. Experience with a complex physical product with a long sales cycle, ideally in architectural glass, interior systems or a related field. Deep understanding of the full B2B/B2C sales cycle, including negotiation, closing and repeat sales. Strong understanding of both phone sales and in-person sales in a showroom. Strong call and deal review skills: specific feedback, structured practice and verification that skills transfer to real work; experience coaching team leads to apply shared quality criteria. Experience writing sales standards and driving their adoption through team leads and sales representatives, without direct authority over the sales team; clear and concise writing; strong team player. Confident CRM use at the level of funnel, stages, tasks, ownership, SLAs and data quality; ability to write change requirements. Proven, hands-on use of AI in sales work , with at least one implemented workflow showing a clear task, data, personal contribution, users and result. Fluent with AI tools, structured instructions, files and knowledge bases, and able to train others to use them; experience with any specific AI product is not required. Strong analytical skills: able to measure the impact of new tools and processes with before/after comparison, compare conversion rates on a like-for-like basis (same funnel stage, period and lead sources), recognize when there is too little data for a reliable conclusion, and be clear about what the numbers do and do not prove. Fluent English (C1/C2). Benefits Competitive base salary + performance-based bonuses. Full ownership of the sales enablement function in a fast-growing U.S. company, with the freedom to build it the right way. Direct influence on how the sales team sells, with results visible in conversion and deal outcomes. Hands-on work with AI in real sales processes, not pilots that stay on paper. Joining a highly professional and dynamic team. Exciting experience working with prestigious clients in the US market.

Location: Estonia; Romania; Hungary; North Macedonia; Slovenia; Slovakia Crystalia Glass LLC is a U.S.-based manufacturer and provider of premium glass solutions, specializing in custom glass partitions for residential, commercial, and institutional projects. We operate a full-cycle model — from design and manufacturing to sales, delivery, and installation — with production facilities in the United States and Europe. The U.S. market is our core focus. Crystalia Glass is a stable, scaling business, serving B2C, B2B, and B2G clients across multiple states. We combine strong product quality, competitive pricing, high service standards, and operational efficiency to set a benchmark within our industry. We are strengthening our commercial function and are looking for a Sales Enablement Manager to own the quality of sales execution across the full funnel, from first contact and needs discovery to closing and order handover. This is a hands-on, senior individual contributor role with no direct reports. Sales Enablement Manager will diagnose why deals are lost, coach sales teams, build and adapt sales standards and CRM stage logic, and embed AI into everyday sales work. Success depends on driving adoption across sales teams and measuring real change in sales representatives’ behavior and conversion. Employment Type: - Full-time 8.30 am - 5 pm, NY (EST zone). - Remote work. - B2B contract (sole proprietorship status or corporate entity). Key responsibilities: Analyze performance Review won, lost and stalled deals across funnel stages, matching calls and messages against CRM history and using AI to flag missed questions, weak arguments, unhandled objections and missing next steps. Assess each sales stage (discovery, qualification, value presentation, objection handling, negotiation, closing and follow-up), including how scripts are adapted to the client and whether call goals are achieved. Identify root causes of performance gaps (skills, knowledge, process or tools) and recommend targeted fixes. Develop the team Run one-to-one and team call and deal reviews, role-plays (including AI-simulated buyers and objections), live call observation and product knowledge checks. Build individual development plans and coach sales representatives on specific sales behaviors. Coach team leads to apply shared quality criteria in daily work with their teams. Track results Track whether new behaviors and AI workflows are applied in real deals and how they affect conversion, deal outcomes and time spent. Standards and CRM Audit existing sales standards for gaps, contradictions and requirements that don’t help the sale. Write and update sales standards: scripts, objection guides, follow-up rules, contact quality criteria and product instructions, as well as CRM stage rules — the goal, entry and exit criteria, required data, sales representative actions and next steps for each stage, ownership at handover, and SLAs agreed with the process owner (response time, working hours, exceptions and escalation). Pilot and roll out new standards: incorporate feedback from sales representatives and team leads, agree commercial rules with sales leadership, write requirements for CRM fields, prompts, notifications, reports and automation, take part in acceptance testing, and train sales representatives after changes. Monitor adherence to standards in the CRM: overdue tasks, missing next steps, unconfirmed stage moves, missing loss reasons and handover quality. AI in sales work Build reusable AI workflows for sales representatives and team leads (call and meeting preparation, meeting summaries, follow-up messages, discovery question planning and checking proposals against client and product data), train sales teams to use them, observe real usage and fix errors. Work with AI agents and bots; maintain instructions, templates and knowledge-base materials. Use AI to help sales representatives plan next steps in the CRM, making sure they review every AI-drafted message or data update before it goes to a client or changes key deal information. Build enablement assets Build and maintain the team skills map, call and deal scorecard, prioritized list of loss reasons and a library of examples and exercises. Requirements Experience in sales enablement, sales coaching or sales development in a comparable market, with personal responsibility for identifying gaps in sales representatives’ performance. Experience with a complex physical product with a long sales cycle, ideally in architectural glass, interior systems or a related field. Deep understanding of the full B2B/B2C sales cycle, including negotiation, closing and repeat sales. Strong understanding of both phone sales and in-person sales in a showroom. Strong call and deal review skills: specific feedback, structured practice and verification that skills transfer to real work; experience coaching team leads to apply shared quality criteria. Experience writing sales standards and driving their adoption through team leads and sales representatives, without direct authority over the sales team; clear and concise writing; strong team player. Confident CRM use at the level of funnel, stages, tasks, ownership, SLAs and data quality; ability to write change requirements. Proven, hands-on use of AI in sales work , with at least one implemented workflow showing a clear task, data, personal contribution, users and result. Fluent with AI tools, structured instructions, files and knowledge bases, and able to train others to use them; experience with any specific AI product is not required. Strong analytical skills: able to measure the impact of new tools and processes with before/after comparison, compare conversion rates on a like-for-like basis (same funnel stage, period and lead sources), recognize when there is too little data for a reliable conclusion, and be clear about what the numbers do and do not prove. Fluent English (C1/C2). Benefits Competitive base salary + performance-based bonuses. Full ownership of the sales enablement function in a fast-growing U.S. company, with the freedom to build it the right way. Direct influence on how the sales team sells, with results visible in conversion and deal outcomes. Hands-on work with AI in real sales processes, not pilots that stay on paper. Joining a highly professional and dynamic team. Exciting experience working with prestigious clients in the US market.

Location: Poland; Serbia; Portugal; Spain; Latvia; Bulgaria Crystalia Glass LLC is a U.S.-based manufacturer and provider of premium glass solutions, specializing in custom glass partitions for residential, commercial, and institutional projects. We operate a full-cycle model — from design and manufacturing to sales, delivery, and installation — with production facilities in the United States and Europe. The U.S. market is our core focus. Crystalia Glass is a stable, scaling business, serving B2C, B2B, and B2G clients across multiple states. We combine strong product quality, competitive pricing, high service standards, and operational efficiency to set a benchmark within our industry. We are strengthening our commercial function and are looking for a Sales Enablement Manager to own the quality of sales execution across the full funnel, from first contact and needs discovery to closing and order handover. This is a hands-on, senior individual contributor role with no direct reports. Sales Enablement Manager will diagnose why deals are lost, coach sales teams, build and adapt sales standards and CRM stage logic, and embed AI into everyday sales work. Success depends on driving adoption across sales teams and measuring real change in sales representatives’ behavior and conversion. Employment Type: - Full-time 8.30 am - 5 pm, NY (EST zone). - Remote work. - B2B contract (sole proprietorship status or corporate entity). Key responsibilities: Analyze performance Review won, lost and stalled deals across funnel stages, matching calls and messages against CRM history and using AI to flag missed questions, weak arguments, unhandled objections and missing next steps. Assess each sales stage (discovery, qualification, value presentation, objection handling, negotiation, closing and follow-up), including how scripts are adapted to the client and whether call goals are achieved. Identify root causes of performance gaps (skills, knowledge, process or tools) and recommend targeted fixes. Develop the team Run one-to-one and team call and deal reviews, role-plays (including AI-simulated buyers and objections), live call observation and product knowledge checks. Build individual development plans and coach sales representatives on specific sales behaviors. Coach team leads to apply shared quality criteria in daily work with their teams. Track results Track whether new behaviors and AI workflows are applied in real deals and how they affect conversion, deal outcomes and time spent. Standards and CRM Audit existing sales standards for gaps, contradictions and requirements that don’t help the sale. Write and update sales standards: scripts, objection guides, follow-up rules, contact quality criteria and product instructions, as well as CRM stage rules — the goal, entry and exit criteria, required data, sales representative actions and next steps for each stage, ownership at handover, and SLAs agreed with the process owner (response time, working hours, exceptions and escalation). Pilot and roll out new standards: incorporate feedback from sales representatives and team leads, agree commercial rules with sales leadership, write requirements for CRM fields, prompts, notifications, reports and automation, take part in acceptance testing, and train sales representatives after changes. Monitor adherence to standards in the CRM: overdue tasks, missing next steps, unconfirmed stage moves, missing loss reasons and handover quality. AI in sales work Build reusable AI workflows for sales representatives and team leads (call and meeting preparation, meeting summaries, follow-up messages, discovery question planning and checking proposals against client and product data), train sales teams to use them, observe real usage and fix errors. Work with AI agents and bots; maintain instructions, templates and knowledge-base materials. Use AI to help sales representatives plan next steps in the CRM, making sure they review every AI-drafted message or data update before it goes to a client or changes key deal information. Build enablement assets Build and maintain the team skills map, call and deal scorecard, prioritized list of loss reasons and a library of examples and exercises. Requirements Experience in sales enablement, sales coaching or sales development in a comparable market, with personal responsibility for identifying gaps in sales representatives’ performance. Experience with a complex physical product with a long sales cycle, ideally in architectural glass, interior systems or a related field. Deep understanding of the full B2B/B2C sales cycle, including negotiation, closing and repeat sales. Strong understanding of both phone sales and in-person sales in a showroom. Strong call and deal review skills: specific feedback, structured practice and verification that skills transfer to real work; experience coaching team leads to apply shared quality criteria. Experience writing sales standards and driving their adoption through team leads and sales representatives, without direct authority over the sales team; clear and concise writing; strong team player. Confident CRM use at the level of funnel, stages, tasks, ownership, SLAs and data quality; ability to write change requirements. Proven, hands-on use of AI in sales work , with at least one implemented workflow showing a clear task, data, personal contribution, users and result. Fluent with AI tools, structured instructions, files and knowledge bases, and able to train others to use them; experience with any specific AI product is not required. Strong analytical skills: able to measure the impact of new tools and processes with before/after comparison, compare conversion rates on a like-for-like basis (same funnel stage, period and lead sources), recognize when there is too little data for a reliable conclusion, and be clear about what the numbers do and do not prove. Fluent English (C1/C2). Benefits Competitive base salary + performance-based bonuses. Full ownership of the sales enablement function in a fast-growing U.S. company, with the freedom to build it the right way. Direct influence on how the sales team sells, with results visible in conversion and deal outcomes. Hands-on work with AI in real sales processes, not pilots that stay on paper. Joining a highly professional and dynamic team. Exciting experience working with prestigious clients in the US market.

Location: Brazil; Mexico; Colombia; Argentina; Chile; Peru Crystalia Glass LLC is a U.S.-based manufacturer and provider of premium glass solutions, specializing in custom glass partitions for residential, commercial, and institutional projects. We operate a full-cycle model — from design and manufacturing to sales, delivery, and installation — with production facilities in the United States and Europe. The U.S. market is our core focus. Crystalia Glass is a stable, scaling business, serving B2C, B2B, and B2G clients across multiple states. We combine strong product quality, competitive pricing, high service standards, and operational efficiency to set a benchmark within our industry. We are strengthening our commercial function and are looking for a Sales Enablement Manager to own the quality of sales execution across the full funnel, from first contact and needs discovery to closing and order handover. This is a hands-on, senior individual contributor role with no direct reports. Sales Enablement Manager will diagnose why deals are lost, coach sales teams, build and adapt sales standards and CRM stage logic, and embed AI into everyday sales work. Success depends on driving adoption across sales teams and measuring real change in sales representatives’ behavior and conversion. Employment Type: - Full-time 8.30 am - 5 pm, NY (EST zone). - Remote work. - B2B contract (sole proprietorship status or corporate entity). Key responsibilities: Analyze performance Review won, lost and stalled deals across funnel stages, matching calls and messages against CRM history and using AI to flag missed questions, weak arguments, unhandled objections and missing next steps. Assess each sales stage (discovery, qualification, value presentation, objection handling, negotiation, closing and follow-up), including how scripts are adapted to the client and whether call goals are achieved. Identify root causes of performance gaps (skills, knowledge, process or tools) and recommend targeted fixes. Develop the team Run one-to-one and team call and deal reviews, role-plays (including AI-simulated buyers and objections), live call observation and product knowledge checks. Build individual development plans and coach sales representatives on specific sales behaviors. Coach team leads to apply shared quality criteria in daily work with their teams. Track results Track whether new behaviors and AI workflows are applied in real deals and how they affect conversion, deal outcomes and time spent. Standards and CRM Audit existing sales standards for gaps, contradictions and requirements that don’t help the sale. Write and update sales standards: scripts, objection guides, follow-up rules, contact quality criteria and product instructions, as well as CRM stage rules — the goal, entry and exit criteria, required data, sales representative actions and next steps for each stage, ownership at handover, and SLAs agreed with the process owner (response time, working hours, exceptions and escalation). Pilot and roll out new standards: incorporate feedback from sales representatives and team leads, agree commercial rules with sales leadership, write requirements for CRM fields, prompts, notifications, reports and automation, take part in acceptance testing, and train sales representatives after changes. Monitor adherence to standards in the CRM: overdue tasks, missing next steps, unconfirmed stage moves, missing loss reasons and handover quality. AI in sales work Build reusable AI workflows for sales representatives and team leads (call and meeting preparation, meeting summaries, follow-up messages, discovery question planning and checking proposals against client and product data), train sales teams to use them, observe real usage and fix errors. Work with AI agents and bots; maintain instructions, templates and knowledge-base materials. Use AI to help sales representatives plan next steps in the CRM, making sure they review every AI-drafted message or data update before it goes to a client or changes key deal information. Build enablement assets Build and maintain the team skills map, call and deal scorecard, prioritized list of loss reasons and a library of examples and exercises. Requirements Experience in sales enablement, sales coaching or sales development in a comparable market, with personal responsibility for identifying gaps in sales representatives’ performance. Experience with a complex physical product with a long sales cycle, ideally in architectural glass, interior systems or a related field. Deep understanding of the full B2B/B2C sales cycle, including negotiation, closing and repeat sales. Strong understanding of both phone sales and in-person sales in a showroom. Strong call and deal review skills: specific feedback, structured practice and verification that skills transfer to real work; experience coaching team leads to apply shared quality criteria. Experience writing sales standards and driving their adoption through team leads and sales representatives, without direct authority over the sales team; clear and concise writing; strong team player. Confident CRM use at the level of funnel, stages, tasks, ownership, SLAs and data quality; ability to write change requirements. Proven, hands-on use of AI in sales work , with at least one implemented workflow showing a clear task, data, personal contribution, users and result. Fluent with AI tools, structured instructions, files and knowledge bases, and able to train others to use them; experience with any specific AI product is not required. Strong analytical skills: able to measure the impact of new tools and processes with before/after comparison, compare conversion rates on a like-for-like basis (same funnel stage, period and lead sources), recognize when there is too little data for a reliable conclusion, and be clear about what the numbers do and do not prove. Fluent English (C1/C2). Benefits Competitive base salary + performance-based bonuses. Full ownership of the sales enablement function in a fast-growing U.S. company, with the freedom to build it the right way. Direct influence on how the sales team sells, with results visible in conversion and deal outcomes. Hands-on work with AI in real sales processes, not pilots that stay on paper. Joining a highly professional and dynamic team. Exciting experience working with prestigious clients in the US market.

Location: Jakarta, Indonesia The Company Our client is a fast-growing D2C longevity/wellness company. They are on a mission to become the leading player in the evidence-based longevity supplement industry. They aim to provide effective, science-backed healthy aging solutions to anyone who wants to feel invigorated, vibrant, and youthful. They are passionate about the science behind what they do and the people they support. Our client has been selling our products to thousands of health enthusiasts across the world already. Backed by strong investors, they are working on making the company a global household name in healthy aging. If you want to experience a dynamic startup in one of the fastest growing industries and are interested in how the latest science, do apply! The Role As a B2B Operations Specialist, you will manage the core operational foundation of our client's B2B business, ensuring seamless, day-to-day execution that gets our products into partners' hands and onto their shelves efficiently and on time. Equally important, you will help build scalable, repeatable processes that allow our B2B operations to grow seamlessly. Responsibilities Order Processing & Fulfillment (30%) Process B2B orders end-to-end. Coordinate fulfillment with warehouses and 3PL partners. Prepare shipping documents and handle logistics queries. Partner Management & Support (30%) Own and triage the B2B inbox against response SLAs. Handle partner document requests and maintain product sheets/Drive folders. Support AI-assisted partner product communications. Handle operational partner and market onboarding. Product Launches, Listings & Quality (30%) Set up market and partner listings and master-data. Execute the operational side of product launches and template creation. Log samples, returns, and complaints and route them to Ops/QA. Process Improvement & Automation (10%) Build scalable workflows, repeatable systems, and AI-assisted inbox automation to reduce manual volume over time. What Success Looks Like First 90 Days: The B2B inbox is fully under control, maintaining a median response time of under one business day. Product launch fan-outs run efficiently on standardized templates. Core operational workflows are thoroughly documented and optimized. Beyond: Senior team members' time is successfully reclaimed from day-to-day execution and redirected toward strategic growth. Product launches and new market expansions consistently go live on schedule. Manual inbox volume trends downward as scalable automation and AI workflows take hold. Requirements Must-have: 2-3 yrs of experience in B2B or e-commerce operations, order management, or a similar execution-heavy ops role. Highly organised and detail-oriented; comfortable owning a high-volume, multi-thread workload. A systems-builder mindset: you fix the process, not just the ticket. Comfortable using AI tools as part of daily execution. Able to work independently and with a Europe-based team, requiring daily working hours overlap with the European time zone (CET), reporting into Berlin. Fluent English with strong written communication. Nice-to-have: Exposure to supplements, pharma, or other regulated product channels. Familiarity with HubSpot, Shopify, and spreadsheet-heavy master-data work. Exposure to shipping and export documentation, including the basics of incoterms and origin. German a plus (not required — partner comms are AI-assisted).

Location: San Francisco; Seattle; New York City Workplace: Hybrid ABOUT MOTHERDUCK Don’t let the quirky name fool you: At MotherDuck, we’re on a mission to make data warehousing fun, frictionless, and ducking awesome for developers and data practitioners building blazing fast internal and customer-facing analytics experiences. We're building a cloud-hosted version of DuckDB, working hand-in-hand with the creators of the fastest-growing and fastest-improving query engine on the planet. Unlike other databases, MotherDuck was architected to unify local development with cloud operations to bridge the gap between software and data engineering workflows. Our team is a mix of thoughtful, passionate, and empathetic data industry veterans. ABOUT THE ROLE We're hiring a growth marketer with a hacker brain to own the systems that make our growth engine run... lifecycle, marketing ops, and the data and automation underneath both. If you're the person who looks at a list of signups and immediately wonders what you could learn by enriching it, splitting it five ways, and testing a different nurture on each... we'd love to meet you. You'll build the segments, lists and audiences everything else depends on, hack and build growth agents, run Clay like a product you own, and use data to push our lifecycle programs 10x further than they are today. This isn't a role where you wait for a ticket. You'll spot the next enrichment worth testing, propose the workflow that saves the team ten hours a week, and ship it. Some folks call this kind of work go-to-market engineering. We think of it as lifecycle marketing with real technical chops. WHAT YOU'LL OWN Lifecycle marketing, the backbone - Become the team's expert on our audiences, and build the segments, lists and audiences that every email, campaign, webinar and nurture runs on - Design lifecycle programs across signup, activation, re-engagement and expansion, and test them relentlessly with real data - Use product usage and conversion patterns to decide who gets what message, when, and on which channel - Report honestly on what moved the number and what didn't... including your own tests Growth agents and Clay - Own Clay end to end. You're the person who pushes it forward, not someone who has access to it - Test new enrichments, scoring and signals, keep what works and kill what doesn't - Build growth agents and automated workflows that let a three-person team move like a much bigger one - Feed better audiences to Google, Meta, LinkedIn and email, in partnership with the performance marketer Marketing ops - Configure webinars and forms, and run the ops side of events: registration flows, segmentation, follow-up and handoff to sales - Keep our tools, data and routing clean so the team trusts what they see - Proactively propose improvements to how we work. If something's slow, manual or broken, we expect you to say so and fix it WHAT PEOPLE SHOULD BE SAYING IF YOU'RE DOING DUCKING AWESOME - "I didn't ask for that segment, but it's exactly what I needed for the campaign." - "Every audience I get from them converts better than the last one." - "The leads from the webinar showed up enriched, routed and ready to go. I didn't have to dig for anything." - "Wait, marketing built that agent? Can we borrow it?" - "Clay does things now nobody thought it could, and our lifecycle emails actually get replies." WHAT WE'RE LOOKING FOR - You want to hack and build growth agents. This is the heart of the role. You've used Claude Code, agents or similar tooling to automate real growth work, and you're itching to build more - A passion for understanding user groups. You want to be the expert on our audiences... who they are, how they behave, and how to segment them so every email and nurture lands with the right people - A systems brain. You see marketing as a set of inputs, workflows and feedback loops, and you love making them run better - Lifecycle experience with numbers attached. You've owned segments, nurtures or re-engagement programs and can tell us what they did to activation, pipeline or revenue - Proactive by default. You find the next test, enrichment or fix before anyone asks - High-growth company background, ideally somewhere with a technical or developer audience - Honest about results. You'll call out a losing test, including your own, as quickly as a winner - Clay experience, ideally a workflow you built and can walk us through - HubSpot experience at the workflow and data level - Comfortable pulling and analyzing your own data, SQL included - Webinar or event ops experience tied to pipeline - Familiarity with data practitioners or developers as an audience OUR INTERVIEW PROCESS We like to keep things transparent, so here's what to expect if you apply... 1. Discovery call with our recruiting team to get acquainted and make sure we're a mutual fit 2. A conversation with our Growth lead to learn about the systems you've built, how you think about audiences and segments, and what excites you about growth agents 3. A deeper conversation with our Growth team covering lifecycle strategy, how you'd test and measure a program, and a walkthrough of a workflow or agent you've built 4. A final conversation with our CEO focused on values and vision PLEASE APPLY Does this role sound appealing to you, but you’re missing some of the requirements or don’t quite think you’re qualified?  Please apply anyway. Research has shown that underrepresented groups in technology often shy away from roles which aren’t a 100% match. We aim to build a diverse team and will strongly consider applicants who bring many of the requirements plus have other experiences which round out their qualifications. MotherDuck is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. MotherDuck is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities.

Location: United Kingdom; Brazil; United Arab Emirates; Ireland; Cyprus; Portugal; Canada Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system.   THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. The Compliance team at Payward plays a critical role in enabling the company to grow responsibly while navigating a rapidly evolving regulatory environment. Our teams work across jurisdictions and product lines to design and maintain scalable compliance frameworks that support Payward’s mission while ensuring regulatory obligations are met. The Financial Intelligence Unit (FIU) Scale Team is responsible for ensuring the FIU can scale, across new operating jurisdictions and new products, effectively and efficiently. The team leads AML transaction monitoring and blockchain monitoring to ensure thresholds are appropriately set, tested, and governed while reducing false positives and maintaining strong oversight. In addition, the team focuses on identifying efficiencies in process workflows and implementing automation across the FIU. Scale works closely with external vendor, Compliance, and internal technology teams.     THE OPPORTUNITY - Lead transaction monitoring optimization, including rule testing, threshold tuning, and the design and rollout of new monitoring scenarios to improve detection quality and reduce false positives - Identify and drive automation and workflow improvements across FIU processes to increase operational efficiency and effectiveness - Evaluate and implement emerging technologies, including LLM and AI-enabled tools, to enhance alert triage, investigations, SAR filing and FIU operational capabilities - Partner with Product, Engineering, and Operations to support vendor integrations, monitoring infrastructure improvements, and FIU tooling enhancements - Collaborate with Compliance leadership, including RCOs and MLROs, to maintain well-governed transaction monitoring frameworks aligned with regulatory expectations - Support FIU scalability by designing processes and monitoring strategies that enable expansion into new products, regions, and increased transaction volumes     WHAT YOU BRING - 5+ years of experience in AML, financial crime compliance, or FIU operations, with deep knowledge of transaction monitoring frameworks, suspicious activity detection, and regulatory expectations under BSA/AML regimes - 3+ years of experience designing, testing, and tuning transaction monitoring rules, including threshold optimization, scenario design, and alert reduction strategies - 3+ years of experience working with transaction monitoring systems and compliance tooling, including case management platforms, monitoring infrastructure, and investigative workflows - Experience working in a regulated financial institution, preferably one licensed to operate in the EU, UK, and/or United States - Experience driving process optimization or automation initiatives within compliance or financial crime programs to improve operational efficiency and scalability - Experience working cross-functionally with Product, Engineering, Data, or Operations teams to implement monitoring controls, vendor integrations, or compliance technology solutions - Strong analytical and data interpretation skills, with experience using metrics, dashboards, and data analysis to evaluate monitoring effectiveness and improve detection quality - Experience operating in fast-growing fintech, payments, or crypto environments, with the ability to design scalable compliance controls that support new product launches and geographic expansion - Experience working with AI, machine learning, or LLM-enabled compliance tools, including investigative automation or alert triage technologies - Familiarity with blockchain analytics tools such as Chainalysis, TRM Labs, Elliptic, or similar crypto investigative platforms - Experience supporting vendor selection, implementation, or integration of regtech solutions     NICE TO HAVES - ACAMS, CAMS-Audit, CFCS, or similar financial crime certifications       Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on Twitter https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: United States Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. The Compliance team at Payward plays a critical role in enabling the company to grow responsibly while navigating a rapidly evolving regulatory environment. Our teams work across jurisdictions and product lines to design and maintain scalable compliance frameworks that support Payward’s mission while ensuring regulatory obligations are met. The Financial Intelligence Unit (FIU) Scale Team is responsible for ensuring the FIU can scale, across new operating jurisdictions and new products, effectively and efficiently. The team leads AML transaction monitoring and blockchain monitoring to ensure thresholds are appropriately set, tested, and governed while reducing false positives and maintaining strong oversight. In addition, the team focuses on identifying efficiencies in process workflows and implementing automation across the FIU. Scale works closely with external vendor, Compliance, and internal technology teams.     THE OPPORTUNITY - Lead transaction monitoring optimization, including rule testing, threshold tuning, and the design and rollout of new monitoring scenarios to improve detection quality and reduce false positives - Identify and drive automation and workflow improvements across FIU processes to increase operational efficiency and effectiveness - Evaluate and implement emerging technologies, including LLM and AI-enabled tools, to enhance alert triage, investigations, SAR filing and FIU operational capabilities - Partner with Product, Engineering, and Operations to support vendor integrations, monitoring infrastructure improvements, and FIU tooling enhancements - Collaborate with Compliance leadership, including RCOs and MLROs, to maintain well-governed transaction monitoring frameworks aligned with regulatory expectations - Support FIU scalability by designing processes and monitoring strategies that enable expansion into new products, regions, and increased transaction volumes     WHAT YOU BRING - 5+ years of experience in AML, financial crime compliance, or FIU operations, with deep knowledge of transaction monitoring frameworks, suspicious activity detection, and regulatory expectations under BSA/AML regimes - 3+ years of experience designing, testing, and tuning transaction monitoring rules, including threshold optimization, scenario design, and alert reduction strategies - 3+ years of experience working with transaction monitoring systems and compliance tooling, including case management platforms, monitoring infrastructure, and investigative workflows - Experience working in a regulated financial institution, preferably one licensed to operate in the EU, UK, and/or United States - Experience driving process optimization or automation initiatives within compliance or financial crime programs to improve operational efficiency and scalability - Experience working cross-functionally with Product, Engineering, Data, or Operations teams to implement monitoring controls, vendor integrations, or compliance technology solutions - Strong analytical and data interpretation skills, with experience using metrics, dashboards, and data analysis to evaluate monitoring effectiveness and improve detection quality - Experience operating in fast-growing fintech, payments, or crypto environments, with the ability to design scalable compliance controls that support new product launches and geographic expansion - Experience working with AI, machine learning, or LLM-enabled compliance tools, including investigative automation or alert triage technologies - Familiarity with blockchain analytics tools such as Chainalysis, TRM Labs, Elliptic, or similar crypto investigative platforms - Experience supporting vendor selection, implementation, or integration of regtech solutions     NICE TO HAVES - ACAMS, CAMS-Audit, CFCS, or similar financial crime certifications       Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on Twitter https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: Ireland Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.   THE OPPORTUNITY - Support the Head of Compliance in approving assets, including ensuring the Asset Listing process is operating in line with regulatory requirements and that assets are listed correctly - Manage the policies and procedures inventory - Oversee the delivery of PGSL’s Compliance Monitoring Plan - Manage the CBI correspondence log and associated reg scanning feeds - Assist in preparing reports for Committee and Board meetings on compliance matters - Assist in the delivery of the annual PGSL Training Plan - Assist in the maintenance of PGSL’s AML/CFT Framework - Collaborate with the Head of Compliance on horizon scanning and the implementation of new regulatory requirements as they arise - Support ongoing compliance with all applicable regulatory requirements - Assist in managing regulatory inquiries and exams, including document and data retrieval - Continually seek out and implement efficiencies and process improvements     WHAT YOU BRING - Significant experience of delivering Compliance and AML/CFT plans with precision & speed - Demonstrated ability to effectively manage tight deadlines and key stakeholder relationships - Practical knowledge of compliance and AML/CFT management techniques - Experience and/or passion for crypto preferred - Excellent communication skills, both verbal and written - Strong attention to detail and strong organisational skills - 5+ years of experience in Compliance related business functions - Strong knowledge of regulations, domestic and international, particularly in crypto         Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on Twitter https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: United States Workplace: OnSite WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? Are you energized by bridging the gap between frontier AI capability and complex customer reality? Do you want to architect high-performance, resilient machine learning systems directly inside strategic enterprise environments? We are looking for a Staff Forward Deployed Engineer (FDE) to join our team. The team is responsible for taking our large language models and making them work reliably, securely, and at peak performance within our customers' custom infrastructure and data perimeters. In this role, you will act as the principal technical translation layer between our core engineering teams and our strategic partners. You will own the architecture for highly ambiguous, customer-specific inference challenges—ranging from multi-tenant model serving to multi-datacenter disaster recovery and custom hardware validation. You will lead technical adoption end-to-end, ensuring our models achieve exceptionally low latency, high throughput, and seamless resilience in the field. As a Forward Deployed Engineer, you will: • Embed directly with customer engineering teams to architect the "connective tissue" between our AI models and their live, complex production environments. • Design advanced model serving topologies, implementing multi-tenant architectures, intelligent model routing, and cross-datacenter failover strategies for multi-cluster environments. • Optimize "AI-in-a-box" and private deployments, balancing localized SRE constraints like Kubernetes multi-cluster scale with raw model performance. • Conduct rigorous benchmarking and profiling of customer LLM workloads, root-causing performance degradation (e.g., slow generation) via metrics, dashboards, and distributed logs. • Accelerate hardware validation, collaborating with clients to run and support Cohere models on next-generation accelerators (GPUs, TPUs, AMD, and custom ASICs). • Translate complex field friction into platform upgrades, delivering prescriptive feedback and contributing directly back to core product features. • Ensure Day-1 production reliability, assisting customers in establishing sound deployment patterns, SLOs, and observability frameworks. You may be a good fit if you have: • 8+ years of engineering experience running production infrastructure, designing large-scale distributed systems, or deploying enterprise software in complex environments. • Deep technical depth in production Kubernetes, including orchestration across multi-cluster and hybrid/multi-cloud ecosystems (GCP, Azure, AWS, OCI). • Strong understanding of LLM architecture and inference dynamics, specifically how attention mechanisms, compute-bound prefill, and memory-bound decode phases dictate live performance. • Hands-on experience with modern inference engines and optimization stacks (e.g., vLLM, TensorRT-LLM, lmd, or Dynamo). • Familiarity with distributed serving techniques, such as prefill/decode disaggregated serving, distributed KV caching, and multi-GPU workloads. • Exceptional customer-facing technical leadership, with a proven track record of scoping highly ambiguous problems and steering executive technical stakeholders. • The high agency, grit, and adaptability to write same-day production code while managing client-side deployment politics or blockers. • Strong programming foundations in Python, Go, or C++, comfortable moving fluidly between backend data pipelines and infrastructure layer tuning. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Every change to Anthropic's software has to reach production somehow: new code, runtime configuration, feature flags, infrastructure changes. Our team builds the systems those changes travel through. Our mission is to give every team at Anthropic a fast, safe, and predictable path from change to production. We sit within Anthropic's Infrastructure organization and own pipelines, staged rollouts, health-gated promotion, and rollback, along with runtime configuration, feature flags, and the systems that deliver code and artifacts to machines across a very large fleet. You'll own a meaningful part of this end to end, from design through operating it in production. If you want your work to shape how fast and how safely Anthropic ships, this could be a great fit. Key responsibilities Set technical direction for major parts of the deployment platform and own them end to end: design, implementation, and operations Build rollout safety into the platform, including progressive delivery, health-gated promotion, automatic pause and rollback, and deploy controls that teams manage themselves Design APIs and abstractions that work equally well for engineers and for AI agents Extend the platform to new workload types and runtimes, from Kubernetes to serverless and edge platforms Build and operate runtime configuration and feature flag systems with validation, gradual rollout, and fast rollback Build infrastructure-as-code workflows that many teams rely on for safe, routine changes Scale artifact distribution so code and configuration reach machines quickly and efficiently Partner with Security so that the path to production is secure by default, with verifiable builds, least-privilege access, and auditable changes Work directly with teams across Anthropic to understand their deployment needs and bring their workloads onto the platform Take part in on-call and incident response, and turn what you learn into guardrails that prevent the same problem from recurring Minimum qualifications Proficiency in at least one backend or systems programming language, such as Rust, Go, C++, or Java Experience leading the design, building, and operation of distributed systems or infrastructure in production, including technical direction across teams Experience with cloud infrastructure and containerized workloads, such as Kubernetes on AWS or GCP Strong written and verbal communication skills Preferred qualifications Experience building deployment, release, or change management systems at large scale Experience with production on-call and incident response Experience with Rust in production Experience with progressive delivery and GitOps tooling, such as Argo CD or Argo Rollouts Deep knowledge of Kubernetes, including controllers and operators Experience with Terraform or other infrastructure-as-code systems at scale, including state management and locking Experience building feature flag, experimentation, or dynamic configuration systems Experience with artifact or package distribution, such as OCI registries, Nix, or content-addressed storage Experience with software supply chain security, such as signed build provenance Experience building high-throughput workflow engines or control planes backed by relational databases Experience building internal developer platforms and leading adoption across many teams Experience using AI agents in your own engineering work, or building systems that agents operate Representative projects Build operator controls for progressive rollouts, including pause and resume that preserve rollout state Design a deployment engine built on fine-grained targets and their dependencies, so each change rolls out exactly where it needs to Build cluster-health-aware rollouts that steer around unhealthy clusters Add a new workload type to the platform, including its rollout, verification, and rollback behavior Design a deployment control plane that handles sharp bursts of agent-driven traffic Design a distribution system that delivers configuration and artifacts to every machine in the fleet as demand grows 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: $405,000 — $485,000 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: Remote - US Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Machine Learning Engineer, Customer Memory. About the job This position is needed to build and scale the pipelines that turn raw conversation data into structured, searchable customer memory, and the evaluation systems that keep that memory accurate as the product evolves. You'll join the Conversation Memory team, which builds the memory layer behind Twilio's Conversational AI platform: the systems that extract what matters from millions of conversations, resolve it to the right customer, and retrieve it in milliseconds when an agent needs it. Memory that is wrong, stale, or crossed between customers is worse than no memory at all, so quality measurement is a first-class part of the work. Responsibilities In this role, you’ll: Build the extraction pipeline that turns raw data into structured memory, tuning the LLM prompts and schemas that decide what an AI agent remembers about a customer and what it forgets. Own the retrieval path that answers "what do we know about this person?" in milliseconds, working with embeddings, vector search, and ranking Contribute to the eval systems that tell us whether memory is actually getting better, turning a fuzzy question of quality into benchmarks and regression gates that run before every change ships. Diagnose production issues across the ingestion, extraction, and indexing path using logs, metrics, and traces. Partner with Product and ML teams to translate customer problems into system changes and evaluation criteria. Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! Required: Experience building backend services, and a demonstrated ability to pick up new languages, frameworks, and tools as the problem demands. A curious approach to service management: ability to investigate how systems actually behave in production, and desire to continuously learn how to operate them with rigor and accountability. Experience building or working with evaluation/quality-measurement systems, such as regression detection or quality metrics, or the desire to learn. Solid grounding in observability practices: structured logging, metrics, and using them to debug distributed systems in production. Fluency with AI-assisted dev tools (e.g. agents for code generation, review, debugging), applied with deliberate direction and critical thinking. Desired: Experience with Go and/or Python. Experience with event-streaming systems (e.g. Kafka). Experience building LLM-backed products. Practical experience applying ML, e.g. building, evaluating, or productionizing models. Location This role will be remote, but is not eligible to be hired in San Francisco, CA, Oakland, CA, San Jose, CA, or the surrounding areas. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Compensation *Please note the salary range information provided applies only to candidates residing in California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State due to local requirements. Compensation for candidates in other locations will be discussed during the hiring process. Please note that hiring for this role is not restricted to the locations listed above. The estimated pay ranges for this role are as follows: Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $128,560 - $160,700 Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $136,000 - $170,000. This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. Application deadline information Applications for this role are intended to be accepted until November 13, but may change based on business needs. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Location: Remote (United States | Canada) Workplace: Remote 1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. The Vice President of Platform Engineering reports to the CTO and leads the strategy, organization, and execution for 1Password’s core service and development platforms. The VP is accountable for building secure, reliable, and scalable foundations that enable teams across 1Password to deliver, operate, and own with autonomy, speed, and unambiguous accountability. The VP owns operations, drives delivery, and develops a high-performing team to achieve impactful results. How we’re using AI today Our Engineering, Product, and Design teams are thoughtfully integrating AI across the full software and product development lifecycle to move faster without sacrificing quality or security. In practice, that looks like engineers using AI-assisted coding tools to accelerate reviews and catch bugs earlier, product managers synthesizing user research at scale, and designers rapidly prototyping and iterating with AI-generated mockups. We approach AI the same way we approach security: with clear principles, human accountability at every consequential decision point, and rigorous evaluation before anything ships to customers. This is a remote opportunity within Canada and the US. What we're looking for: - Experience: 10+ years of experience in software engineering, with at least 7 years in a leadership role, preferably with experience building and operating at the intersections of IaaS, SaaS, and the cybersecurity industry. - Education: Bachelor’s degree in Computer Science, Information Technology, Computer Engineering, or related fields; or proven equivalent work experience. - Proven track record establishing durable, full-lifecycle ownership for critical platforms and services, including adoption, customer experience, reliability, security, cost, incident response, and continued evolution. - Proven ability delivering and operating cost-effective mission-critical infrastructure and platform systems serving internal- and consumer-facing software products, operational efficiency and market expansion. - Strong business and technical acumen in systems and software engineering, proven ability to lead an organization and culture delivering best practices and innovation. - Exceptional analytical and strategic thinking skills, with the ability to define, develop and execute strategic plans across a wide set of objectives, driving committed quantifiable results. - Extensive experience in building, maintaining, and influencing operational excellence, including process and system optimization, scalability, and the development and management of performance metrics - Demonstrated ability to collaborate effectively with C-suite leaders and cross-functional teams, aligning on strategic priorities to achieve shared objectives. - Outstanding communication skills, with the ability to convey complex ideas clearly, build trust, inspire broadly, gaining alignment across diverse stakeholders. - Proven expertise in leading and sustaining multi-year transformational initiatives in fast-paced, complex, and dynamic environments. - Proven experience building, developing and scaling high-performing teams. What you can expect: - Leadership: Continuously evolve, develop and execute the Platform Engineering vision, strategy, objectives, and roadmaps, aligning and laddering it with the company strategy and customer needs. Proactively incorporate market and industry trends, competitive landscape, and customer insights to identify opportunities, informing strategic decision-making. - Transformation: Lead multi-year changes to 1Password’s engineering architecture and operating model, building shared platforms, supported paths, and common practices that improve reliability, security, developer effectiveness, and the company’s ability to scale. - Company Initiatives: Lead technology-adjacent strategic initiatives that facilitate delivering best-in-class engineering results, from inspiration and innovation, to implementation and iterative improvement. - Operations: Design and evolve the organization, ownership model, and operating mechanisms needed to execute the strategy. Establish clear accountability for the platforms and services the organization operates directly, while creating governed, supported paths that enable other teams to own and operate their products independently. - Engineering Systems and Practices: Advance how software is built and operated across 1Password through ubiquitous engineering standards, operational excellence, and safe, measurable Agentic Engineering practices. Establish the platforms, controls, and evidence needed for teams to adopt these practices while remaining accountable for their results. - Performance: Establish clear, quantifiable outcomes across the organization and operating mechanisms that expose progress, quality, adoption, operational health, and business impact. Use evidence to make investment, prioritization, and organizational decisions, transparently providing actionable insights for the executive team and organizational leaders. - Cross-functional Collaboration: Build strong relationships across the company to proactively identify needs, align strategies, and optimize your company-wide impact. Foster collaboration within and beyond the Technology organization to influence change. Apply critical feedback toward achieving strategic goals. Represent the technical organization in senior leadership meetings, providing updates on strategic initiatives, operational execution, and industry trends and their implications. - Team Leadership: Build and lead a high-performing team by mentoring and coaching direct reports, evaluating organizational talent, and implementing plans to prepare talent for future business demands. - Leadership Growth: Invest in the growth and development of the leaders within the technology organization across 1Password via direct mentorship, sponsorship, and participation at sibling organization events, as well as providing leadership alongside cross-functional partner teams, such as Product, Security, People/Talent, Operations and L&D. - Culture and Org Health: Drive and evolve our high-performance culture, fostering psychological safety, inclusivity, ownership, and agility. Champion initiatives to enhance the employee experience organizationally- and company-wide. - Financial Oversight: In partnership with Finance, own the organization’s investment and capacity strategy, balancing current operations, future-state transformation, and targeted growth. Ensure resources are allocated against the highest-value outcomes and adjust plans when evidence or business priorities change. USA-based roles: The annual base salary for this role is between $302,000 USD and $483,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. Canada-based roles: The annual base salary for this role is between $278,000 CAD and $445,000 CAD, plus immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password. This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. To us, this means we do ask that you join live interviews without using AI tools so we can get to know how you communicate, solve problems, and collaborate with others. Our approach to remote work We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing 👶 Maternity and parental leave top-up programs 🩺 Competitive health benefits 🏝 Generous PTO policy Growth and future 📈 RSU program for most employees 💸 Retirement matching program 🔑 Free 1Password account Community 🤝 Paid volunteer days 🏆 Peer-to-peer recognition through Bonusly 🌎 Remote-first work environment *Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting. You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.

Location: United States, Austin, TX Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Data Center Strategy & Commercial Management Specialist Sony Interactive Entertainment is seeking a Data Center Strategy & Commercial Management Specialist to support the ongoing evolution of SIE’s global colocation footprint. This role sits within the Technical Operations department of the Global Developer Future Technology Group (GDFT), the organization responsible for building and operating the data center infrastructure that underpins PlayStation’s Cloud Gaming, Broadcast, and Developer Platform services worldwide. Our colocation environments host critical workloads ranging from real-time game streaming to content distribution, developer build systems, and testing environments. The successful candidate will lead the strategic planning, commercial management, and capacity management of SIE’s global colocation estate, ensuring infrastructure availability aligns with business growth, resilience, performance, and cost objectives. This role is responsible for translating business growth forecasts into practical colocation capacity, power, and infrastructure strategies across existing and future sites. The role combines commercial leadership, provider management, infrastructure planning, and technical coordination across a complex global environment. This is not a facilities operations role; however, the successful candidate must possess strong technical literacy in colocation infrastructure, including mechanical and electrical resiliency models, power and cooling constraints, and operational dependencies, in order to support informed commercial, contractual, and strategic decisions. Responsibilities: Colocation Strategy & Capacity Planning – Translate business growth forecasts and platform requirements into short-, mid-, and long-term colocation capacity strategies across existing and future sites, accounting for scalability, resiliency, performance, and regional demand. Commercial Management – Own the commercial strategy and lifecycle of SIE’s global colocation footprint, including renewals, expansions, exits, commercial obligations, and strategic capacity planning across multiple providers and regions. Commercial Negotiations – Lead commercial negotiations with colocation providers for renewals, expansions, new capacity acquisitions, and related commercial agreements in partnership with internal legal and procurement teams. Provider Relationship Management – Develop and manage strategic relationships with colocation providers, ensuring effective oversight of contractual obligations, service delivery, commercial commitments, escalations, and operational performance. Infrastructure Planning Coordination – Partner with operations, engineering, product, and business intelligence teams to translate deployment forecasts into actionable power, space, and capacity requirements across the global estate. Colocation Sourcing & Market Analysis – Support colocation sourcing activities including market assessments, provider evaluations, regional capacity analysis, commercial benchmarking, and expansion planning. Vendor & Contract Oversight – Manage contract governance, service-level oversight, commercial risk, and compliance requirements across a diverse global provider ecosystem. Commercial Analysis – Support sourcing and capacity decisions through commercial analysis, provider benchmarking, market comparisons, and evaluation of colocation pricing, terms, and service offerings. Lifecycle Governance – Maintain oversight of key commercial and operational milestones, including lease events, capacity commitments, renewals, expansions, migrations, and decommissioning activities. Performance & KPI Management – Define, monitor, and report on operational and commercial KPIs to drive accountability, transparency, and continuous improvement across the colocation estate. Executive Reporting & Governance – Develop reporting and governance frameworks that provide clear visibility into capacity, commercial exposure, provider performance, risk, and strategic opportunities. Market & Industry Awareness – Maintain awareness of colocation market trends, regional supply dynamics, pricing movements, provider capabilities, and industry developments to support strategic decision-making. Regulatory & Sustainability Alignment – Ensure infrastructure planning and commercial decisions align with environmental, sustainability, regulatory, and compliance requirements across multiple global regions. Decision-Making & Strategic Recommendations – Operate effectively in environments with evolving or incomplete business forecasts, providing infrastructure and commercial recommendations that balance growth, risk, timing, and cost considerations. What We’re Looking For: 7+ years of experience in colocation strategy, data center commercial management, infrastructure sourcing, capacity planning, or related disciplines within large-scale global environments. Demonstrated experience leading commercial negotiations with colocation providers, including renewals, capacity expansions, pricing negotiations, SLAs, and contractual commitments. Strong understanding of colocation commercial constructs, including leases, service orders, SLAs, power commitments, contractual obligations, and provider governance models. Experience managing colocation provider relationships across multiple regions, with understanding of market dynamics, supplier capabilities, and commercial models. Strong understanding of colocation infrastructure, including power, cooling, resiliency, and capacity constraints, with the ability to connect technical considerations to commercial and business outcomes. Experience translating business or deployment forecasts into actionable infrastructure capacity, power, and space strategies. Experience supporting colocation sourcing activities including provider evaluations, market analysis, commercial assessments, expansion planning, and capacity negotiations. Experience evaluating colocation commercial proposals, pricing structures, service offerings, and contractual terms to support infrastructure and capacity decision-making. Strong analytical and organizational skills, with the ability to manage complex datasets, contractual obligations, lifecycle milestones, and regional planning assumptions across a global footprint. Experience developing governance processes, KPI frameworks, and executive-level reporting for infrastructure, commercial, or capacity management functions. Excellent communication and stakeholder management skills, with the ability to influence technical, operational, financial, legal, procurement, and business stakeholders across multiple levels of the organization. Self-motivated, detail-oriented, and comfortable operating within a fast-paced, globally distributed environment. Ability to operate effectively at both strategic and tactical levels, balancing long-term infrastructure strategy with day-to-day commercial and operational priorities. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $184,500 — $276,700 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: London, UK About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Anthropic Residency is our paid, fixed-term research program, with placements lasting between six weeks and six months. We are looking for people who have led ambitious work in a variety of technical fields and want to transition to full-time work focused on making sure AI systems are safe and beneficial for all of humanity. If you are a professor in a quantitative discipline, a technical founder or a staff-level engineer and want to transition to work on transformative AI, we want to hear from you. Background in machine learning is not required. What to expect A concrete, scoped project matched to your background, with direct mentorship from Anthropic researchers Access to Claude models and GPU compute Connection to the broader AI safety and security research community Interview process The interview process will include an initial application, recruiter screen, technical assessment, research discussion and a reference check. Applications for this round close on November 22, 2026 (11:59 PM PT). We expect to make offers in January 2027. You may be a good fit if you Are motivated by making sure AI is safe and beneficial for society as a whole Are excited to transition into working on empirical AI research full-time Have led ambitious work in a variety of technical fields (professor in a quantitative discipline, a technical founder or a staff-level engineer) Thrive in fast-paced, collaborative environments Can implement ideas quickly and communicate clearly Strong candidates may also Have experience authoring research papers in machine learning, NLP, or AI safety Have experience with LLMs, reinforcement learning or Kubernetes clusters and complex shared codebases Mentors and research areas Potential Anthropic mentors include: Sara Price : leads the Alignment Training team; background in data science Ethan Perez : leads the Alignment Science team; background in machine learning Evan Hubinger : leads the Alignment Stress-Testing team; formerly at The Machine Intelligence Research Institute (MIRI) Samuel Marks : leads the Scalable Oversight team; background in mathematics Elana Simon : researches the interpretability of language models and biological models; background in biomedical informatics Belinda Li : researches how language models represent the world, users, and themselves; background in natural language processing (PhD, MIT) Jack Lindsey : leads the Model Psychology team; background in theoretical neuroscience Nicholas Carlini : researches adversarial machine learning and AI security; previously at DeepMind and Google Brain Jascha Sohl-Dickstein : works at the intersection of safety and pretraining; background in physics and neuroscience, formerly Principal Scientist at Google Brain Residents will work on empirical research questions in collaboration with Anthropic's research teams. Areas we are particularly interested in include: AI safety & alignment Scalable Oversight: Developing techniques to keep highly capable models helpful and honest, even as they surpass human-level intelligence in various domains. Adversarial Robustness and AI Control: Creating methods to ensure advanced AI systems remain safe and harmless in unfamiliar or adversarial scenarios. Model Organisms: Creating model organisms of misalignment to improve our empirical understanding of how alignment failures might arise. Model Internals and Interpretability: Advancing our understanding of the internal workings of large language models to enable more targeted interventions and safety measures. Safeguards Research: Developing robust defenses against adversarial attacks, comprehensive evaluation frameworks for model safety, and automated systems to detect and mitigate potential risks before deployment. AI Welfare: Improving our understanding of potential AI welfare and developing related evaluations and mitigations. AI security & frontier red-teaming Stress-testing frontier models to understand the full extent of their current capabilities in fields such as cybersecurity, robotics or cryptography. ML systems & reinforcement learning Improving how frontier models are trained and building the infrastructure behind that research, from model architecture, optimizers and training data to accelerator simulators, hardware backends and RL environment pipelines. For a fuller picture of the questions we care about, see our Recommendations for Technical AI Safety Research Directions and recent publications from our Alignment , Interpretability and Frontier Red teams. Logistics Duration: Placements are six weeks, three months or six months, depending on team fit and candidate preferences. Other lengths between three and six months are possible by exception. Location: This application is for a remote UK position, with the option to work from our London office. However, we prefer that Residents work from our San Francisco office, where most of our research staff is based, but remote participation is possible, especially for shorter placements. Most full-time research roles at Anthropic require relocation to San Francisco. Remote participants need to be based in a country where Anthropic can hire. Commitment: Full-time role for the duration of the residency. Compensation: £265,000 to £375,000/year pro-rated for the duration of the residency + benefits Visa sponsorship: We sponsor visas for placements of three months or longer. For six-week placements we encourage remote participation from a country where Anthropic can hire. Applicants may also be considered for the Anthropic Fellows Program . 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: £265,000 — £375,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Anthropic Residency is our paid, fixed-term research program, with placements lasting between six weeks and six months. We are looking for people who have led ambitious work in a variety of technical fields and want to transition to full-time work focused on making sure AI systems are safe and beneficial for all of humanity. If you are a professor in a quantitative discipline, a technical founder or a staff-level engineer and want to transition to work on transformative AI, we want to hear from you. Background in machine learning is not required. What to expect A concrete, scoped project matched to your background, with direct mentorship from Anthropic researchers Access to Claude models and GPU compute Connection to the broader AI safety and security research community Interview process The interview process will include an initial application, recruiter screen, technical assessment, research discussion and a reference check. Applications for this round close on November 22, 2026 (11:59 PM PT). We expect to make offers in January 2027. You may be a good fit if you Are motivated by making sure AI is safe and beneficial for society as a whole Are excited to transition into working on empirical AI research full-time Have led ambitious work in a variety of technical fields (professor in a quantitative discipline, a technical founder or a staff-level engineer) Thrive in fast-paced, collaborative environments Can implement ideas quickly and communicate clearly Strong candidates may also Have experience authoring research papers in machine learning, NLP, or AI safety Have experience with LLMs, reinforcement learning or Kubernetes clusters and complex shared codebases Mentors and research areas Potential Anthropic mentors include: Sara Price : leads the Alignment Training team; background in data science Ethan Perez : leads the Alignment Science team; background in machine learning Evan Hubinger : leads the Alignment Stress-Testing team; formerly at The Machine Intelligence Research Institute (MIRI) Samuel Marks : leads the Scalable Oversight team; background in mathematics Elana Simon : researches the interpretability of language models and biological models; background in biomedical informatics Belinda Li : researches how language models represent the world, users, and themselves; background in natural language processing (PhD, MIT) Jack Lindsey : leads the Model Psychology team; background in theoretical neuroscience Nicholas Carlini : researches adversarial machine learning and AI security; previously at DeepMind and Google Brain Jascha Sohl-Dickstein : works at the intersection of safety and pretraining; background in physics and neuroscience, formerly Principal Scientist at Google Brain Residents will work on empirical research questions in collaboration with Anthropic's research teams. Areas we are particularly interested in include: AI safety & alignment Scalable Oversight: Developing techniques to keep highly capable models helpful and honest, even as they surpass human-level intelligence in various domains. Adversarial Robustness and AI Control: Creating methods to ensure advanced AI systems remain safe and harmless in unfamiliar or adversarial scenarios. Model Organisms: Creating model organisms of misalignment to improve our empirical understanding of how alignment failures might arise. Model Internals and Interpretability: Advancing our understanding of the internal workings of large language models to enable more targeted interventions and safety measures. Safeguards Research: Developing robust defenses against adversarial attacks, comprehensive evaluation frameworks for model safety, and automated systems to detect and mitigate potential risks before deployment. AI Welfare: Improving our understanding of potential AI welfare and developing related evaluations and mitigations. AI security & frontier red-teaming Stress-testing frontier models to understand the full extent of their current capabilities in fields such as cybersecurity, robotics or cryptography. ML systems & reinforcement learning Improving how frontier models are trained and building the infrastructure behind that research, from model architecture, optimizers and training data to accelerator simulators, hardware backends and RL environment pipelines. For a fuller picture of the questions we care about, see our Recommendations for Technical AI Safety Research Directions and recent publications from our Alignment , Interpretability and Frontier Red teams. Logistics Duration: Placements are six weeks, three months or six months, depending on team fit and candidate preferences. Other lengths between three and six months are possible by exception. Location: We prefer that Residents work from our San Francisco office, where most of our research staff is based, but remote participation is possible, especially for shorter placements. Most full-time research roles at Anthropic require relocation to San Francisco. Remote participants need to be based in a country where Anthropic can hire. Commitment: Full-time role for the duration of the residency. Compensation: $350,000 to $500,000/year pro-rated for the duration of the residency + benefits Visa sponsorship: We sponsor visas for placements of three months or longer. For six-week placements we encourage remote participation from a country where Anthropic can hire. Applicants may also be considered for the Anthropic Fellows Program . 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: $350,000 — $500,000 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.