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Location: Warsaw, Poland; Madrid, Spain; Tbilisi, Georgia; Sofia, Bulgaria; Yerevan, Armenia; Podgorica, Montenegro CloudLinux is a global remote-first company. We are driven by our principles: do the right thing, employees first, we are remote first, and we deliver high-volume, low-cost Linux infrastructure and security products that help companies to increase the efficiency of their operations. Every person on our team supports each other and does what we can to ensure we all are successful. Check out our website for more information: https://cloudlinux.com/ Imunify360 is CloudLinux's security suite for Linux web servers: real-time and background malware scanning, automated cleanup, a WAF, runtime PHP protection (Proactive Defense), a database malware scanner, and IP reputation. It runs on hosting providers' shared, VPS, and dedicated servers, so new web-malware campaigns land on our fleet early. We sit on one of the largest labeled corpora of live web-server malware in the industry: files, verdicts, cleanup outcomes, and analyst decisions collected from production hosting servers every day. It already drives our signatures, heuristics, and ML models, and there is far more to get out of it. We are looking for a Senior ML Engineer who will turn that data into detection that ships — classifiers, LLM-assisted triage and generated signatures — and keep exploring new ML/LLM methods against it, measured by the product's false-negative and false-positive rates, not by notebook accuracy. Our dataset focuses on web malware — PHP, JavaScript, HTML phishing kits, infected WordPress and Joomla plugins and themes, database injections — with the context around each file. What you'll work with: Malware samples from production servers, with verdicts and analyst decisions Years of signatures and detection rules Customer-reported false negatives and false positives Runtime behavior of code on live sites Web-attack traffic File metadata and how files spread across servers Cleanup outcomes, including what came back What you will do: The goal is 10x more malware detected at the same or lower false-positive rate. Hand-written rules and faster pipelines will not get there; models trained on our data might. Decide which files on a server deserve a closer look, within tight CPU and memory budgets Tell malicious code from benign at fleet scale and a sensible cost per file Generate detection signatures automatically from new campaigns Catch malware that only looks malicious in context, such as phishing pages and script injections Route each file to the right detection engine Make cleanup precise so sites stay clean afterwards Prove each model improves detection before it ships How we work: You get an experimentation track, GPUs, and a direct line to leadership; in return, you bring numbers, not opinions. Remote-first, async across UTC−5 to UTC+8. Decisions are written down (ADR-Lite) and public by default. Hardware follows evidence: Each training direction starts with dedicated GPUs on our own bare metal; leadership has committed to fund more when the case is made with data. Agentic engineering: Claude and Codex are the default tools, wired to GitLab, Jenkins, Redash, Jira, and Slite through MCP servers. We look at how engineers work with agents — context, specificity, review quality — not only at output. Close to ground truth: You work daily with malware analysts, detection and infrastructure engineers, and the rest of our ML team. Ship gates: No model or build goes out if it raises false positives or false negatives on our past-error sets. Blameless post-mortems within 24 hours. What you'll deliver: You own the path from raw samples to a model in production, and the numbers that prove it helped. First month: A first model trained on production data and measured against today's engines — suspicious-file triage or a metadata model. The evaluation harness in place: splits by time and campaign so families don't leak, and a regression set from past FPs and FNs. By month 3: Several models in production: some in shadow mode building evidence, some live and producing real detections, all gated on the past-error regression set. A training setup that keeps its GPUs busy. A written proposal (ADR) for the detection cascade, with cost per file and hardware needs. By month 12: Models are a main source of new detections, reported as share of new detections and FN-rate trend. Retraining on fresh analyst and FN labels on a fixed cadence. Generated signatures inside the analyst workflow. Two or three parallel training directions that other engineers can run with your tooling. Requirements What you bring: 5+ years building ML systems that ran in production, including 2+ in an adversarial domain: security, abuse, fraud, or spam. Y ou have trained and fine-tuned transformer models yourself — data preparation, tokenizing code, LoRA/QLoRA or full fine-tunes, distillation, quantization — not only called hosted APIs. Classic ML depth: gradient boosting, linear models on sparse features, calibration, class imbalance, and judgement on when these beat an LLM. Evaluation discipline: leakage-free splits by time and family, precision at a fixed false-positive budget, regression sets, and an honest account of why production will differ from offline. Inference cost engineering: you have measured throughput and latency and made a model fit a CPU or memory budget (ONNX, llama.cpp, vLLM, int8/int4). Strong Python, PyTorch and the Hugging Face stack; SQL on large analytical tables (ClickHouse or similar). Familiarity with PHP or JavaScript , or willingness to pick it up working with our malware analysts. You use AI coding agents daily and can show how. English at upper-Intermediate (B2) level or higher , with particularly strong written communication for async work. It is a strong plus if you have: Web malware, webshells, phishing kits or WordPress security experience. Models over code: AST or token features, code LLMs, graph models on program structure. Malware clustering and similarity analysis. Multi-GPU training on your own bare metal; MLflow or Weights & Biases; dataset versioning. Go or Rust, for on-server inference. Published work or talks on ML for security. Benefits What's in it for you? A focus on professional development. Interesting and challenging projects. Fully remote work with flexible working hours, that allows you to schedule your day and work from any location worldwide. Paid 24 days of vacation per year, 10 days of national holidays, and unlimited sick leaves. Compensation for private medical insurance. Co-working and gym/sports reimbursement. Budget for education. The opportunity to receive a reward for the most innovative idea that the company can patent. By applying for this position, you consent to the processing of your personal data as described in our Privacy Policy ( https://cloudlinux.com/candidate-privacy-notice ), which provides detailed information on how we maintain and handle your data.

Location: Dubai, United Arab Emirates We are seeking a proficient Mechanical Design Engineer to join our engineering team. The candidate will be responsible for designing, developing, and optimising mechanical systems and components for various construction projects, ensuring compliance with industry standards and project specifications. Key Responsibilities: Develop detailed mechanical designs, drawings, and specifications for HVAC, plumbing, and other mechanical systems. Use CAD and BIM software (AutoCAD, Revit, SolidWorks) to prepare layouts and 3D models. Collaborate with multidisciplinary teams to integrate mechanical designs with architectural and structural layouts. Conduct engineering calculations and simulations to verify design viability and performance. Review and revise designs based on project requirements, codes, and client feedback. Ensure all designs comply with local regulations and industry standards. Coordinate with contractors, and suppliers to support project execution. Participate in site visits to monitor installation and resolve design-related issues. Requirements Bachelor’s degree in Mechanical Engineering or related field. Minimum 5 years of experience in mechanical design engineering, preferably in the construction industry. Proficiency in CAD and BIM software such as AutoCAD, Revit, and SolidWorks. Strong knowledge of mechanical systems including HVAC, plumbing, and fire protection. Familiarity with local building codes and regulations. Excellent analytical, problem-solving, and communication skills. Ability to work collaboratively in multidisciplinary teams and manage multiple tasks effectively. Previous experience with a consultant. Benefits Competitive salary. Official UAE employment status. Comprehensive medical insurance coverage.

Location: United States; Canada (BC & ON only) Workplace: Remote Webflow is the agentic web marketing platform for modern marketing teams, helping organizations build, manage, and optimize high-performing web experiences that drive predictable growth and strengthen brand trust. Building at Webflow will need grit, because we move fast, without ever sacrificing craft or quality. We’re looking for a Financial Analyst, GTM to serve as the primary finance partner to our Sales, Marketing, and Customer Success leadership. This is a high-visibility, high-impact role sitting right at the center of GTM decisions, helping leadership decide where to invest, improve productivity, and drive predictable ARR growth. ABOUT THE ROLE: - Location: Remote-first (United States; BC & ON, Canada) - Full-time - Permanent - Exemption status: Exempt (US Only) - The cash compensation for this role is tailored to align with the cost of labor in different geographic markets. We've structured the base pay ranges for this role into zones for our geographic markets, and the specific base pay within the range will be determined by the candidate’s geographic location, job-related experience, knowledge, qualifications, and skills. - United States (all figures cited below are in USD and pertain to workers in the United States) - Zone A: $112,000 - $135,000 - Zone B: $105,000 - $126,000 - Zone C: $98,300 - $118,000 - Canada (figures cited below are in CAD and pertain to workers in ON & BC, Canada) - $123,000 - $147,000 This role is also eligible to participate in Webflow's company-wide bonus program. Target amounts are a percentage of base salary and vary by career level. Payouts are based on company performance against established financial and operational goals. Please visit our Careers page https://webflow.com/careers#pay-zones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter. - Application Information: - Application deadline: applications accepted on an ongoing basis until position is closed and filled - This posting is for an existing vacancy - Reporting to the Director of Corporate Finance As a Financial Analyst, GTM, you’ll: - Own the GTM expense plan and forecast, covering headcount and non-headcount spend, and turn it into executive-ready commentary for Sales, Marketing, and Customer Success leaders on variances, risks, and investment tradeoffs - Manage GTM headcount planning and capacity, including hiring plans, ratios such as quota-carrying reps to sales support, and attrition, and flag drift from targets before it affects the forecast - Reduce manual effort in planning by improving Workday and Adaptive Planning workflows, removing manual tagging, and setting materiality thresholds so non-headcount forecast updates focus on spend that moves the outlook - Own the single source of truth for ARR and ATR across our Sales and Self-Serve models, auditing the ARR in Salesforce and the data warehouse, documenting metric definitions, and resolving breaks with Revenue Operations, Data and/or Accounting - Run the monthly churn, renewal, and write-off review with GTM partners, preparing the analysis, root-cause commentary, and forecast implications leaders use to make decisions - Synthesize multi-source data from Salesforce, the data warehouse, Workday, and NetSuite into clear metrics, KPIs, and business narratives that inform GTM leadership decisions - Build working relationships across Finance, Accounting, Procurement, and GTM to drive alignment without formal authority, and automate recurring reporting with SQL, spreadsheets, and AI tools ABOUT YOU: Requirements: - BS / BA college degree in Finance, Accounting, Economics, or a related field, or relevant experience - 3+ years of experience in FP&A, corporate finance, investment banking, consulting, or public accounting; experience in SaaS or a subscription business is preferred - Strong proficiency in Excel or Google Sheets, including building models from raw data You’ll thrive as a Financial Analyst, GTM if you: - Have a working understanding of SaaS metrics such as ARR, NRR, GRR, churn, and renewals, and can trace them back to source data in Salesforce and the data warehouse - Enjoy partnering with Sales, Marketing, and Customer Success leaders and can explain financial results in plain terms to non-finance audiences - Notice manual work and fix it, whether with SQL, spreadsheet automation, or AI tools - Bring accounting fluency, including accruals and the monthly close; a CPA and a Big 4 background is preferred - Stay curious and open to growth — demonstrating a proactive embrace of AI, and actively building and applying fluency in emerging technologies to elevate how we work, drive faster outcomes, and expand collective impact. OUR CORE BEHAVIORS - Build lasting customer trust. We build trust by taking action that puts customer trust first. - Win together. We play to win, and we win as one team. Success at Webflow isn't a solo act. - Reinvent ourselves. We don't just improve what exists, we imagine what's possible. - Own it all the way. We move fast because the moment demands it, and we hold ourselves accountable to deliver outcomes — for each other, and for customers.   BENEFITS - Ownership in what you help build. Every permanent Webflower receives equity (RSUs) in our growing, privately held company. - Health coverage that actually covers you. Comprehensive medical, dental, and vision plans for full-time employees and their dependents, with Webflow covering most premiums. - Support for every stage of family life. 12 weeks of paid parental leave for all parents and 6+ weeks of additional paid leave for birthing parents. Plus inclusive care for family planning, menopause, and midlife transitions. - Time off that’s actually off. Flexible vacation, paid holidays, and a sabbatical program to help you recharge and come back inspired. - Wellness for the whole you. Access to mental health resources, therapy and coaching. - Invest in your future. A 401(k) with 100% employer match (up to $6,000/year) in the U.S., and support for retirement savings globally. - Monthly stipends that flex with your life. Localized support for work and wellness expenses — from Wi-Fi to workouts. - Bonus for building together. All full-time, permanent, non-commission employees are eligible for our annual WIN bonus program.   Temporary employees may be eligible for paid holiday and time off, statutory leaves of absence, and company-sponsored medical benefits depending on their Fixed Term Contract and their country/state of employment.   BE YOU, WITH US At Webflow, equality is a core tenet of our culture. We are an Equal Opportunity (EEO)/Veterans/Disabled Employer and are committed https://webflow.com/diversity-equity-inclusion to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law. Pursuant to the San Francisco Fair Chance Ordinance, Webflow will consider for employment qualified applicants with arrest and conviction records.   STAY CONNECTED Not ready to apply, but want to be part of the Webflow community? Consider following our story on our Webflow Blog https://webflow.com/blog, LinkedIn https://www.linkedin.com/company/webflow-inc-/, X (Twitter) https://twitter.com/webflow, and/or Glassdoor https://www.glassdoor.com/Reviews/Webflow-Reviews-E890506.htm.   PLEASE NOTE: We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Upon interview scheduling, instructions for accommodation requests will be administered. To join Webflow, you'll need a valid right to work authorization depending on the country of employment. If you are extended an offer, that offer may be contingent upon your successful completion of a background check, which will be conducted in accordance with applicable laws. We may obtain one or more background screening reports about you, solely for employment purposes. Webflow uses AI tools to assist in screening and evaluating applications. AI does not make final hiring decisions. For details on how we process your personal information, see Webflow’s Applicant Privacy Notice https://webflow.com/legal/applicant-privacy-notice.

Location: Oakland, California, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About the role The Principal of Marketing Insights sits at the intersection of growth strategy, investment planning, and performance analytics. You’ll partner with the office of CMO, marketing leadership, and cross-functional analytics teams to determine where we invest, how we improve performance, and what it will take to achieve our growth targets. You’ll translate business goals and performance insights into clear priorities, resource decisions, and coordinated action across Marketing. This includes shaping pipeline strategy, evaluating investment tradeoffs, and identifying opportunities to improve conversion, velocity, and efficiency across regions, segments, and growth motions. This is a high-visibility leadership role during a period of significant organizational change. We’re looking for someone who brings structure to ambiguity, challenges assumptions with sound business judgment, and drives decisions through to measurable results. You’ll work closely with marketing leaders, Finance, GTM Operations, Technical Marketing Ops, and Central Analytics to connect strategy, investment, and execution. What you’ll do Growth strategy & planning: Translate company growth targets into marketing plans with clear priorities, investment requirements, and performance assumptions. Lead the analytical foundation for annual and quarterly planning, developing scenarios that evaluate growth opportunities, resource needs, and tradeoffs. Own marketing’s pipeline planning models and assumptions, coordinating inputs across regions, segments, channels, and motions. Identify the highest-impact opportunities to improve pipeline generation, conversion, and velocity; partner with functional leaders to turn those opportunities into action. Investment strategy & efficiency: Shape recommendations for allocating resources across programs, channels, regions, and segments based on expected business impact. Evaluate tradeoffs between headcount and program investment, partnering with Finance and marketing leaders to improve resource productivity. Identify where to scale, reduce, or reallocate spend, and measure whether those decisions improve pipeline yield and marketing efficiency. Develop models that connect marketing investment to pipeline and revenue outcomes, making assumptions and uncertainties clear. Program management & accountability: Lead weekly and monthly marketing performance reviews, focusing leadership on the decisions and actions needed to achieve targets. Proactively identify performance risks, diagnose root causes, and align leaders on corrective actions, owners, and timelines. Track actions and assess their impact, adjusting the approach when results fall short. Lead cross-functional initiatives across Marketing, XDR, Sales, Finance, and Analytics, resolving dependencies and escalating decisions when needed. Insights & measurement: Set the strategic analysis agenda around the business questions most consequential to marketing growth and efficiency. Define the metrics, scorecards, and decision tools marketing leaders need to manage performance. Partner with Analytics to deliver scalable reporting and with Marketing Ops to ensure consistent definitions, reliable tracking, and data quality. Translate complex analysis into clear executive narratives that explain what is happening, why it matters, and what action to take. Skills we’re looking for 8+ years experience in marketing strategy, GTM analytics, or business performance within B2B SaaS, with scope and impact consistent with director-level leadership. A demonstrated record of influencing investment decisions and delivering measurable improvements in pipeline, conversion, or marketing efficiency. Experience developing growth plans, pipeline models, investment scenarios, and performance assumptions. Strong business judgment and a clear point of view, with the confidence to challenge senior stakeholders constructively and build alignment around difficult tradeoffs. Proven ability to lead cross-functional initiatives and drive recommendations through to execution and results. Ability to independently structure ambiguous problems and balance speed with analytical rigor. Deep understanding of B2B SaaS metrics, including pipeline, ARR, conversion, velocity, acquisition costs, and attribution. Hands-on fluency with SQL and BI tools such as Looker, enabling independent investigation and effective partnership with Analytics. Working knowledge of Salesforce and marketing automation platforms such as Marketo. Clear executive communication, with the ability to connect detailed analysis to business decisions. Bonus Skills Experience navigating a merger, organizational integration, or significant GTM transformation. Experience with experiment design, incrementality measurement, predictive modeling, or cohort analysis. Familiarity with the modern data stack, including Fivetran, dbt, Snowflake, and Looker. Background in data infrastructure, developer tools, or analytics software. The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Oakland Pay Range $179,670 — $224,587 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: US: San Mateo (1875 South Grant Street); US: Oregon Remote Worker; AU: Melbourne: (260 Burwood Rd); NZ: Auckland: Xero 4 (96 St Georges Bay Rd, Level 2 & 3); AU: Sydney (45 Clarence St); US: Washington Remote Worker Workplace: Hybrid ABOUT XERO At Xero, we’re here to supercharge small businesses. By making small businesses more efficient every day, connecting them with big business technology, and empowering a community behind them, their potential is limitless.   ABOUT THE ROLE Xero is looking for a GM/VP of Growth Content to lead the next chapter of our global growth content function. We have redefined how growth content is delivered at Xero from the ground up. Our growth content team uses an AI-powered approach to deliver high performing and always on-brand content at scale. We are looking for an individual who will lead a global team (including design, creative optimization and content automation) tasked with turning data-driven insights into a high-velocity, compounding content engine with automation at its core. This leader will develop and own our global content strategy across the funnel, they will champion a strict "test-and-learn" creative framework across all global growth channels, deeply analyzing audience signals and performance metrics to architect native content experiences that drive growth across paid advertising, lifecycle marketing, web, and sales assets. The successful candidate will oversee the deployment of tailored, native content across all core channels—from high-impact visual hooks for paid ads to search-optimized web assets and high-converting lifecycle and sales collateral. This leader will need to constantly strike the right balance between delivering high performing content at scale and maintaining and elevating our brand consistency, in partnership with our internal agency ‘the foundry’. This role requires someone who can operate at multiple altitudes. You need to be able to set direction at enterprise scale, work effectively in a complex global matrix, influence without always being the final decision-maker, and go deep into the executional details when the work demands it.   WHAT YOU’LL DO UNITE, DESIGN & BUILD THE CONTENT OPERATING MODEL FOR AN AI-NATIVE FUTURE - Deliver the end-to-end content system, from inputs and briefs through creation, review, distribution, reuse, and performance optimization to unite siloed work streams. - Build an AI-native operating model that improves speed, quality and scalability, not just efficiency on the current workflow. This will include the automation of atomization of flagship content across channels/funnel/audiences to scale distribution and expand impact. - Simplify decision-making and review flows so the right people are involved at the right moments, with less drag and more accountability to exponentially improve output speed while raising the bar on content quality. - Create repeatable ways to turn strategic inputs such as claims, positioning, customer insight, proprietary data, product truth, and channel learnings into effective content outputs. - Maintain total brand consistency across all content touchpoints, aligned with our core principles and ambitions. - Be hands on tools to lead the evolution and expansion of our content system, training the team and cross-functional partners on how to use most effectively. RAISE THE BAR ON BUSINESS IMPACT AND MEASUREMENT - Build a measurement approach that connects content performance to real business outcomes, not just activity or engagement metrics. - Partner with analytics, product, performance marketing, regional marketing, and customer teams to understand what content is actually driving impact. - Use data to shape investment decisions, optimization, channel mix, and content priorities. - Create visibility for senior leaders into what is working, what is not, and where we should change course & how to get there. - Build a culture that seeks the truth on content effectiveness and continuously improves from it. IMPROVE CONTENT QUALITY, JUDGMENT, AND CHANNEL FIT - Raise the standard of what great content and processes looks like at Xero and create calibration mechanisms so teams apply that standard consistently. - Improve how we match message, format, and depth to audience need and channel context. - Partner closely with Product Marketing, Communications, Performance Marketing, SEO, regional teams, and Sales Enablement to create more effective content across the funnel. LEAD THE ORGANIZATION AND BUILD CAPABILITY - Lead, coach, and develop a global content organization spanning multiple disciplines, markets, and seniority levels. - Raise the bar on capability, performance, and leadership across the team and ensure the structure supports the organizational needs and is built for the future. - Build a team culture that values clarity, quality, learning, strong judgment, and accountability for outcomes. - Know when to stay at the strategic level and when to get into the details to unblock, improve, or accelerate the work. OPERATE EFFECTIVELY IN A COMPLEX GLOBAL MATRIX - Build strong partnerships across global, regional, and functional teams to scale impact through influence. - Work effectively in an environment where ownership is shared, decisions are distributed, and progress depends on alignment as much as authority. - Balance global consistency with regional relevance, especially in markets with different levels of maturity, capability, and need. - Help cross-functional teams make better content decisions by bringing clarity, structure, and strong point of view. SUCCESS IN THE ROLE LOOKS LIKE - The content operating model has been materially redesigned for an AI-native future, with simpler workflows, stronger systems, and better use of human judgment. - Content is on brand and inline with our brand principles and guidelines. - There is an effective and continuous “test and learn” system and culture. - Content performance is measured in a rigorous way, with strong links to business outcomes, adoption, utilization, and expansion. - The quality bar is visibly higher, and teams have clearer standards for what good looks like. - The team is stronger, with sharper talent, clearer roles, and a structure better suited to where the business is going. WHAT YOU’LL BRING CORE REQUIREMENTS - SaaS & Fintech Expertise: Deep leadership experience in SaaS, fintech, or complex B2B/B2B2C subscription ecosystem environments. - Operating Model Transformation: Proven track record of redesigning operating models, not just optimizing existing workflows. - AI Operational Integration: Demonstrated success using AI to rethink content systems, workflows, governance, and production economics at scale. - Cross-Functional Alignment: Strong partnership experience with Product Marketing, Communications, Performance Marketing, SEO, and Sales Enablement. - Business Impact & Measurement: Strong evidence of driving measurable business impact through content across multiple stages of the funnel and customer lifecycle. - Global Matrix Leadership: Experience working in a large global matrix, with the ability to influence across teams and functions without relying on formal authority alone. - Strategic & Operational Agility: Ability to move between strategy and execution, including comfort getting into the operational details when needed. - People Leadership: Experience leading and upgrading teams through change, including talent assessment, coaching, organizational design, and raising standards. - Navigating Ambiguity: High comfort with ambiguity, complexity, and building structure where it does not yet exist. NICE TO HAVE - Experience serving small business and partner audiences such as accountants, bookkeepers, or channel ecosystems. - Experience building growth content systems that use proprietary data, customer insight, and research as differentiated inputs. - Strong judgment on channel strategy, editorial and design quality, audience needs, and content effectiveness. Compensation & Total Rewards At Xero, we value the impact and skills you bring to the team. We don’t just hire for a role; we invest in people. We believe in a Total Package philosophy - which means your value isn't just a single number on a paycheck. While base salary is a core component, we look at your compensation through a holistic lens that includes equity, performance incentives, and world-class benefits. The expected base salary range for this role in: - California and Washington: $229,300 to $315,300 USD - Oregon: $208,800 to $287,800 USD - Individual pay is determined by various factors, including geography, level of experience, and the specific skills you bring to the role. In addition to base pay, Xero’s roles are eligible for the following forms of variable compensation: - Variable Pay: Permanent employees are eligible to participate in our annual bonus and equity (RSU) programs. You may also be eligible for performance-based cash or equity (RSUs) incentives depending on your role level, and company performance. - Comprehensive Benefits: Medical, dental, vision, 401(k) match, and 21 days PTO, 10 days of Wellbeing leave, 5 days of Xtra Leave, 1 volunteer day, 12 paid holidays, paid parental leave. Further information included on our Xero Perks https://careers.xero.com/inside-xero/benefits-wellbeing/ page. Xero uses AI to help screen applications based on job-related qualifications. These tools assist our recruiters but do not make automated hiring decisions. A human recruiter reviews all candidates before any hiring action is taken.

Location: Denver, Colorado, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About the role The Principal of Marketing Insights sits at the intersection of growth strategy, investment planning, and performance analytics. You’ll partner with the office of CMO, marketing leadership, and cross-functional analytics teams to determine where we invest, how we improve performance, and what it will take to achieve our growth targets. You’ll translate business goals and performance insights into clear priorities, resource decisions, and coordinated action across Marketing. This includes shaping pipeline strategy, evaluating investment tradeoffs, and identifying opportunities to improve conversion, velocity, and efficiency across regions, segments, and growth motions. This is a high-visibility leadership role during a period of significant organizational change. We’re looking for someone who brings structure to ambiguity, challenges assumptions with sound business judgment, and drives decisions through to measurable results. You’ll work closely with marketing leaders, Finance, GTM Operations, Technical Marketing Ops, and Central Analytics to connect strategy, investment, and execution. What you’ll do Growth strategy & planning: Translate company growth targets into marketing plans with clear priorities, investment requirements, and performance assumptions. Lead the analytical foundation for annual and quarterly planning, developing scenarios that evaluate growth opportunities, resource needs, and tradeoffs. Own marketing’s pipeline planning models and assumptions, coordinating inputs across regions, segments, channels, and motions. Identify the highest-impact opportunities to improve pipeline generation, conversion, and velocity; partner with functional leaders to turn those opportunities into action. Investment strategy & efficiency: Shape recommendations for allocating resources across programs, channels, regions, and segments based on expected business impact. Evaluate tradeoffs between headcount and program investment, partnering with Finance and marketing leaders to improve resource productivity. Identify where to scale, reduce, or reallocate spend, and measure whether those decisions improve pipeline yield and marketing efficiency. Develop models that connect marketing investment to pipeline and revenue outcomes, making assumptions and uncertainties clear. Program management & accountability: Lead weekly and monthly marketing performance reviews, focusing leadership on the decisions and actions needed to achieve targets. Proactively identify performance risks, diagnose root causes, and align leaders on corrective actions, owners, and timelines. Track actions and assess their impact, adjusting the approach when results fall short. Lead cross-functional initiatives across Marketing, XDR, Sales, Finance, and Analytics, resolving dependencies and escalating decisions when needed. Insights & measurement: Set the strategic analysis agenda around the business questions most consequential to marketing growth and efficiency. Define the metrics, scorecards, and decision tools marketing leaders need to manage performance. Partner with Analytics to deliver scalable reporting and with Marketing Ops to ensure consistent definitions, reliable tracking, and data quality. Translate complex analysis into clear executive narratives that explain what is happening, why it matters, and what action to take. Skills we’re looking for 8+ years experience in marketing strategy, GTM analytics, or business performance within B2B SaaS, with scope and impact consistent with director-level leadership. A demonstrated record of influencing investment decisions and delivering measurable improvements in pipeline, conversion, or marketing efficiency. Experience developing growth plans, pipeline models, investment scenarios, and performance assumptions. Strong business judgment and a clear point of view, with the confidence to challenge senior stakeholders constructively and build alignment around difficult tradeoffs. Proven ability to lead cross-functional initiatives and drive recommendations through to execution and results. Ability to independently structure ambiguous problems and balance speed with analytical rigor. Deep understanding of B2B SaaS metrics, including pipeline, ARR, conversion, velocity, acquisition costs, and attribution. Hands-on fluency with SQL and BI tools such as Looker, enabling independent investigation and effective partnership with Analytics. Working knowledge of Salesforce and marketing automation platforms such as Marketo. Clear executive communication, with the ability to connect detailed analysis to business decisions. Bonus Skills Experience navigating a merger, organizational integration, or significant GTM transformation. Experience with experiment design, incrementality measurement, predictive modeling, or cohort analysis. Familiarity with the modern data stack, including Fivetran, dbt, Snowflake, and Looker. Background in data infrastructure, developer tools, or analytics software. #LI-JC1 #LI-Hybrid The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Denver Pay Range $173,573.50 — $216,966.75 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Ireland - Dublin Office; United Kingdom - London Office Workplace: Hybrid At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 ClickUp's mission is to make the world more productive. Our platform brings work together so teams can plan, collaborate, and execute in one place. As an Enterprise Account Executive covering DACH, you will help large organizations reduce fragmented workflows and get more value from a unified work management platform. You will own complex sales cycles, connect ClickUp's capabilities to customer outcomes, and build relationships that support long-term adoption across the region.   The Role: - Build and execute a territory plan for DACH, identifying high-potential accounts and creating qualified pipeline through outbound, partner, and inbound motions. - Own full-cycle Enterprise SaaS sales from discovery and qualification through solution evaluation, business case, negotiation, and close. - Use MEDDIC/MEDDPICC or an equivalent structured methodology to uncover pain, quantify impact, map decision criteria and process, engage economic buyers, and develop champions. - Work with Solutions Engineering and other internal partners to tailor value-led evaluations and navigate business, operations, IT/security, and executive stakeholders. - Maintain accurate CRM data and a dependable forecast, inspect deal health, and surface risks early. - Identify opportunities to expand adoption across departments and regions, partnering with Customer Success on customer outcomes. - Bring actionable market and customer feedback to Sales, GTM, and Product to improve our enterprise approach in DACH.   Qualifications: - 3+ years of full-cycle Enterprise or upper-mid-market SaaS sales experience, including personal ownership of complex, multi-stakeholder deals. - Evidence of meeting or exceeding quota and building pipeline through proactive outbound activity, not only inbound leads. - Demonstrated use of MEDDIC/MEDDPICC or a comparable qualification approach, with specific examples of complex deals you owned. - Executive communication and consultative discovery skills, with the ability to translate customer needs into a clear business case. - Strong judgment, forecasting discipline, collaboration, and accountability in a fast-changing environment. - Location: Ireland is currently listed as the approved hiring location; the territory is DACH. Confirm location/hub and travel expectations before posting. - Language: [[Confirm whether professional German fluency is required for customer conversations in DACH.]]   Desirable: - Experience selling work-management, productivity, or collaboration software. - Experience expanding product-led adoption into executive-sponsored enterprise programs. - Familiarity with enterprise security, procurement, and multi-entity buying processes in DACH. Equal Opportunity Employer ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. Privacy Notice ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details. Visa Sponsorship Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions. Fraud Alert ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com. AI Processing Notice ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.

Location: United States, Los Angeles, CA 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. JOB PURPOSE: The Technical Program Governance team enables complex technical initiatives across PlayStation engineering organizations by creating clarity, alignment, and disciplined execution across organizational boundaries. As a Staff Technical Change Manager, you will lead the people, adoption, and organizational dimensions of complex technical change across engineering and technology organizations. You will work alongside technical leaders, architects, program managers, and delivery teams to understand what is changing, who is affected, what will be required of them, and how to move from awareness to sustained adoption. This is a technical change role. Success requires more than familiarity with software-development terminology or experience working near engineering teams. You must be able to understand systems, platforms, architecture, integrations, engineering delivery models, and technical dependencies well enough to identify meaningful change impacts, ask informed questions, and translate technical decisions into practical organizational action. This role offers the opportunity to build and shape change capability from the ground up. You’ll help define how change is led, scaled, and embedded across a growing technical organization, creating practical approaches that can evolve with the business rather than inheriting a fixed playbook. EXPERIENCE & QUALIFICATIONS: Essential Bachelor’s degree or equivalent Demonstrated experience leading complex, cross-functional organizational change within technology, engineering, digital, or technical environments. Strong technical fluency across modern software and technology environments. Able to understand systems, platforms, architecture, integrations, engineering workflows, and technical dependencies well enough to assess organizational impact and engage credibly with technical leaders.\ Proven ability to translate complex technical concepts and decisions into clear stakeholder impacts, adoption needs, communications, enablement plans, and practical actions. Deep practical knowledge of organizational change methods and tools, combined with the judgment to adapt, combine, simplify, or move beyond a methodology when the situation requires it. Experience developing end-to-end change strategies, including stakeholder analysis, impact assessment, readiness, communications, engagement, learning or enablement, adoption measurement, and reinforcement. Strong independent judgment and problem-solving skills, with a record of operating effectively in ambiguous environments where the change strategy, operating model, or path forward is still being created. Ability to influence senior technical and business leaders, facilitate difficult conversations, build alignment across competing priorities, and move decisions forward without direct authority. Experience using qualitative and quantitative signals to assess adoption, identify resistance or friction, test assumptions, and adjust strategy based on evidence rather than process compliance. Demonstrated ability to create reusable frameworks, playbooks, tools, and guidance and to coach others so change capability scales beyond the individual. Excellent written and verbal communication skills, including the ability to produce concise executive narratives while retaining enough technical substance for engineering audiences. Desirable Consulting or transformation advisory experience, particularly in environments requiring rapid context building, executive influence, and practical recommendations across multiple clients, organizations, or business units. Experience building or materially evolving a change capability in an organization where practices, roles, standards, and expectations were not already mature or consistently established.\ Experience supporting platform, infrastructure, cloud, architecture, developer tooling, enterprise systems, or other technically complex transformation work. Experience working directly with engineers, architects, technical program managers, product leaders, and senior technology executives. Background in the games, interactive entertainment, or large-scale technology industry. Formal change-management certification. KEY RESPONSIBILITIES & SCOPE FOR DECISION MAKING: Technical Change Strategy and Delivery Lead change strategy and execution for complex technical initiatives spanning multiple teams, organizations, technologies, or geographies. Build a clear understanding of the technical change itself, including affected systems, dependencies, operating models, workflows, roles, and decision points, before determining the appropriate change approach. Translate technical implementation plans into stakeholder impacts, readiness needs, adoption risks, engagement strategies, and measurable change outcomes. Embed organizational readiness into the design and delivery of major initiatives, helping ensure change is considered from the beginning and translated into sustained adoption, stronger execution, and measurable business impact. Identify adoption barriers early, frame the underlying problem, and drive practical interventions that address behavior, capability, process, structure, or incentives as appropriate. Define meaningful measures of readiness, adoption, and sustained use, and adjust strategy when evidence shows the current approach is not working. Technical Partnership and Organizational Judgment Partner closely with engineers, architects, technical program managers, product leaders, and subject-matter experts to understand technical decisions and their organizational consequences. Ask informed technical questions, challenge assumptions constructively, and surface dependencies or downstream impacts that may otherwise be missed in change planning. Operate as a trusted advisor to senior leaders, bringing clear recommendations, rationale, risks, tradeoffs, and expected outcomes rather than relying on escalation or waiting for direction. Demonstrate strong judgment about where and how change leadership can add value. Read the room, adapt to the audience and organizational context, and apply the right level of structure to accelerate outcomes without introducing unnecessary process. Use organizational context, stakeholder insight, and data to determine where leadership attention is required and where teams can move independently. Connect technical transformation to business and organizational outcomes so leaders understand not only what is changing, but why it matters and what successful adoption looks like. Capability Building and Scale Help build a practical, scalable technical change-management capability, including reusable frameworks, playbooks, templates, decision guides, and operating practices. Create lightweight approaches that can be used by program and technical leaders directly, reserving specialist change support for the work where it creates the most value. Coach leaders, TPMs, and cross-functional partners on stakeholder engagement, readiness, adoption planning, resistance, and reinforcement so change knowledge spreads through the organization. Use strong facilitation and organizational judgment to bring the right people together, navigate competing perspectives, and turn complex conversations into clear decisions, alignment, and action. Capture lessons learned and patterns across initiatives and use them to improve future change strategies, tools, and organizational practices. Leave teams more capable than you found them by building knowledge, confidence, and repeatable practices that continue beyond an individual initiative. KEY PERFORMANCE INDICATORS ·       Sustained adoption and organizational readiness for complex technical changes, demonstrated through measurable use, behavior change, or operating outcomes. ·       Quality and timeliness of change-impact identification, stakeholder strategy, risk management, and interventions across multiple initiatives. ·       Demonstrated technical credibility and effectiveness partnering with engineering, architecture, program, and senior leadership audiences. ·       Evidence that change approaches are adapted based on context, feedback, and data rather than applied mechanically. ·       Measurable growth in organizational change capability through reusable tools, coaching, knowledge sharing, and increased self-sufficiency of partner teams. ·       Senior stakeholder confidence in the clarity, practicality, and strategic value of change recommendations and execution. The individual will be measured on: Successful adoption and sustained impact of complex technical and organizational changes, with clear evidence that intended outcomes are understood, adopted, and embedded. Ability to identify where change leadership will have the greatest impact, applying sound judgment and the appropriate level of structure based on the audience, environment, risk, and desired outcome. Quality of strategic partnership with technical and business leaders, including the ability to build trust, navigate organizational dynamics, challenge constructively, and influence decisions. Effectiveness in translating complex technical change into meaningful organizational action, connecting technical direction with what teams need to understand, do differently, and sustain. Measurable improvements in organizational readiness and adoption, using meaningful indicators and feedback to identify barriers, adjust strategy, and improve outcomes. Growth of scalable change capability across the organization, including practices, approaches, and knowledge that enable leaders and teams to manage change more effectively without continued direct support. Ability to strengthen and evolve the organization’s approach to change, identifying opportunities to improve how change is led and building practical capabilities that can scale as the organization matures. Effectiveness operating independently in complex and ambiguous environments, bringing recommendations, exercising strong judgment, and driving work forward without requiring a predefined playbook. 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. $173,000 — $259,400 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: San Francisco, CA Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. WHAT YOU’LL DO - Design and build a structured onboarding program for new Account Executives and Sales Engineers, with role-specific tracks - Deliver onboarding live and asynchronously: cohort sessions, workshops, certifications, and role-plays - Introduce what AI Fluency means at Sierra and how to incorporate it into daily sales activities (account research, call prep, call recaps, pipeline updates, etc.) - Make sure every seller can explain, demo and stand behind how Sierra uses AI, so they can speak credibly with customers who are learning to deploy AI themselves - Establish baseline ramp metrics (time to first meeting, first deal, quota attainment, SE readiness) and set targets for reducing them - Use AI tools to scale enablement itself: faster content creation, AI-driven role-play and call coaching, and self-serve answers to seller questions - Partner with Product, Marketing, Sales Leadership, and Sales Engineering to keep content accurate as the product and market change - Recruit subject-matter experts, including top sellers and SEs, to teach and coach in the program - Gather feedback from new hires and managers, and iterate on the program quarterly - Build the global program so it can be adapted for regional teams, including our London office WHAT YOU’LL BRING - 6+ years in sales enablement at a high-growth B2B software company, with hands-on onboarding or training experience and experience managing cross-functional programs - Experience designing and delivering onboarding for both quota-carrying sellers and technical sellers - Track record of prioritizing competing requests from senior stakeholders and saying no with data - Track record of tying enablement work to business outcomes, not just completion rates - Strong facilitator, comfortable teaching experienced sellers and executives - Willing to do the hands-on work in the early months, not just manage it, and comfortable building from scratch with limited process and few resources - Able to learn a technical product ([AI agents / enterprise software]) well enough to teach it credibly - Hands-on, daily use of AI tools in your own work, and experience teaching others to adopt new tools and change how they work EVEN BETTER… - Experience running sales kickoff or product launch enablement - Experience selling or supporting sales in AI, SaaS, or enterprise software - Familiarity with enablement platforms (e.g., [Highspot, Seismic, Salesforce, Gong]) - Experience running onboarding through rapid headcount growth, or handing a program to a successor OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized  - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

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. The Editorial Publishing team is looking for a team member to write, edit, and review material that Anthropic publishes about its own systems, including model cards, risk reports, safety and security reports, and other technical material. You’ll have a front-row seat to some of the most consequential material a frontier AI lab produces, working cross-functionally with teams like Alignment, Interpretability, Safeguards, Policy, and Legal to produce rigorous reports on tight timelines. You’ll be describing model behavior, training environments, evaluation methods, and their limitations, and must be legible to both technical experts and general-public readers. The ideal candidate brings clarity and structure to complex writing and editing processes involving many stakeholders. Key responsibilities Write and edit technical public-facing reports and blogs for Anthropic Takes pieces from inception to publication on short deadlines Solicit input from partner teams across Anthropic, while preserving narrative clarity Minimum qualifications Strong alignment with our mission and experience working in AI safety Strong writing and editing skills, with a portfolio of published work that demonstrates an ability to explain technical subjects to non-specialist readers Familiarity with how frontier AI systems are trained, evaluated, and deployed A track record of shipping accurate, polished work on short deadlines and under pressure Ability to work with subject matter experts to understand technical concepts and fact-check assertions Strong judgement about how to incorporate legal, policy, and reputational considerations into the work Comfort taking ownership in a fast-moving environment where processes are still taking shape Preferred qualifications Experience writing or editing safety or security reports, postmortems, transparency reports, or similar public disclosures Experience as a technical writer or editor at a technology company or research lab Comfort working in a content management system (CMS) and publishing web content Experience using AI tools like Claude to streamline editorial processes 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 — $295,000 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: Tokyo, Japan About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Regional Research Economist at Anthropic, you will collaborate with governments, academia, industry, and civil society in your region to measure and understand AI’s effects on the economy and explore research-driven policy interventions. You will contribute to the development of the Anthropic Economic Index and its extension to generate regionally relevant insights, establish new methodologies to measure the usage, diffusion, and impact of AI throughout the economy, and work to broaden access to and usage of the insights generated by the Index. You will use frontier methods in econometrics, machine learning, and structural estimation. Such rigor will drive impact, shaping both policy discussions externally and informing Anthropic’s internal business and product decisions. Our team combines rigorous empirical methods with novel measurement approaches. We’re building first-of-its-kind datasets tracking AI’s impact on labor markets, productivity, and economic transformation. Using our privacy-preserving measurement system ( Clio ), we analyze millions of real-world AI interactions to understand how AI augments and automates work across different occupations and tasks. For this role, we’re looking for candidates who can combine rigorous economic analysis with novel measurement approaches to understand AI’s transformative effects on the economy. The ideal candidate will be comfortable working at the intersection of empirical economics, technological change, and policy impact. Key responsibilities Build and maintain relationships with academic institutions, policy think tanks, and other research partners as the primary point of contact for these organizations on economic impact work in your region Advance research collaborations that answer country- or regional-specific economic impact questions Translate research insights into actionable recommendations for policy discussions Make fundamental contributions to the development and expansion of the Anthropic Economic Index , including country- and regional-specific analysis Design and collaborate on empirical research on AI’s economic effects with governments, academia, industry, and civil society in your region Develop new methodological approaches, in collaboration with partners in your region, for studying AI’s impact on labor markets and the future of work; productivity and task transformation; economic inequality and displacement; industry-specific disruption and adaptation; and aggregate economic trajectories (GDP, productivity, unemployment) under varying AI-adoption scenarios Work cross-functionally with other technical teams to improve our measurement infrastructure and data collection Amplify external engagement through research publications, policy briefs, and presentations to diverse stakeholders Minimum qualifications PhD in Economics Strong track record of empirical research, particularly studies combining novel data sources and economic theory or implementing frontier methods in causal inference and machine learning Demonstrated experience working in, and relevant relationships across, the region Proficiency in Python, R, SQL, or similar tools for large-scale data analysis Demonstrated ability to lead complex research projects from conception to publication Demonstrated ability to communicate technical findings to diverse audiences Demonstrated ability to build relationships across academic, policy, and industry communities Preferred qualifications Experience relevant to the study of AI’s impact on the economy, such as labor market analysis and occupational change; task-based approaches to technological transformation; large-scale data analysis and econometric methods; large language models for social science research; policy-relevant economic research; experimental and quasi-experimental methods for causal inference; macroeconomic modeling and time series forecasting; or agent-based modeling and large-scale simulation Experience working with novel datasets and measurement systems Comfort learning new technical tools and frameworks Strong interest in ensuring AI development benefits humanity Comfort working with AI systems and ability to think critically about their capabilities and limitations Representative projects How Australia Uses Claude: Findings from the Anthropic Economic Index Anthropic Economic Index Report: Economic Primitives Anthropic Economic Index Report: Uneven Geographic and Enterprise AI Adoption Estimating AI productivity gains from Claude conversations The Anthropic Economic Index 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: Seoul, South Korea About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Regional Research Economist at Anthropic, you will collaborate with governments, academia, industry, and civil society in your region to measure and understand AI’s effects on the economy and explore research-driven policy interventions. You will contribute to the development of the Anthropic Economic Index and its extension to generate regionally relevant insights, establish new methodologies to measure the usage, diffusion, and impact of AI throughout the economy, and work to broaden access to and usage of the insights generated by the Index. You will use frontier methods in econometrics, machine learning, and structural estimation. Such rigor will drive impact, shaping both policy discussions externally and informing Anthropic’s internal business and product decisions. Our team combines rigorous empirical methods with novel measurement approaches. We’re building first-of-its-kind datasets tracking AI’s impact on labor markets, productivity, and economic transformation. Using our privacy-preserving measurement system ( Clio ), we analyze millions of real-world AI interactions to understand how AI augments and automates work across different occupations and tasks. For this role, we’re looking for candidates who can combine rigorous economic analysis with novel measurement approaches to understand AI’s transformative effects on the economy. The ideal candidate will be comfortable working at the intersection of empirical economics, technological change, and policy impact. Key responsibilities Build and maintain relationships with academic institutions, policy think tanks, and other research partners as the primary point of contact for these organizations on economic impact work in your region Advance research collaborations that answer country- or regional-specific economic impact questions Translate research insights into actionable recommendations for policy discussions Make fundamental contributions to the development and expansion of the Anthropic Economic Index , including country- and regional-specific analysis Design and collaborate on empirical research on AI’s economic effects with governments, academia, industry, and civil society in your region Develop new methodological approaches, in collaboration with partners in your region, for studying AI’s impact on labor markets and the future of work; productivity and task transformation; economic inequality and displacement; industry-specific disruption and adaptation; and aggregate economic trajectories (GDP, productivity, unemployment) under varying AI-adoption scenarios Work cross-functionally with other technical teams to improve our measurement infrastructure and data collection Amplify external engagement through research publications, policy briefs, and presentations to diverse stakeholders Minimum qualifications PhD in Economics Strong track record of empirical research, particularly studies combining novel data sources and economic theory or implementing frontier methods in causal inference and machine learning Demonstrated experience working in, and relevant relationships across, the region Proficiency in Python, R, SQL, or similar tools for large-scale data analysis Demonstrated ability to lead complex research projects from conception to publication Demonstrated ability to communicate technical findings to diverse audiences Demonstrated ability to build relationships across academic, policy, and industry communities Preferred qualifications Experience relevant to the study of AI’s impact on the economy, such as labor market analysis and occupational change; task-based approaches to technological transformation; large-scale data analysis and econometric methods; large language models for social science research; policy-relevant economic research; experimental and quasi-experimental methods for causal inference; macroeconomic modeling and time series forecasting; or agent-based modeling and large-scale simulation Experience working with novel datasets and measurement systems Comfort learning new technical tools and frameworks Strong interest in ensuring AI development benefits humanity Comfort working with AI systems and ability to think critically about their capabilities and limitations Representative projects How Australia Uses Claude: Findings from the Anthropic Economic Index Anthropic Economic Index Report: Economic Primitives Anthropic Economic Index Report: Uneven Geographic and Enterprise AI Adoption Estimating AI productivity gains from Claude conversations The Anthropic Economic Index 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: Sydney, Australia About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Regional Research Economist at Anthropic, you will collaborate with governments, academia, industry, and civil society in your region to measure and understand AI’s effects on the economy and explore research-driven policy interventions. You will contribute to the development of the Anthropic Economic Index and its extension to generate regionally relevant insights, establish new methodologies to measure the usage, diffusion, and impact of AI throughout the economy, and work to broaden access to and usage of the insights generated by the Index. You will use frontier methods in econometrics, machine learning, and structural estimation. Such rigor will drive impact, shaping both policy discussions externally and informing Anthropic’s internal business and product decisions. Our team combines rigorous empirical methods with novel measurement approaches. We’re building first-of-its-kind datasets tracking AI’s impact on labor markets, productivity, and economic transformation. Using our privacy-preserving measurement system ( Clio ), we analyze millions of real-world AI interactions to understand how AI augments and automates work across different occupations and tasks. For this role, we’re looking for candidates who can combine rigorous economic analysis with novel measurement approaches to understand AI’s transformative effects on the economy. The ideal candidate will be comfortable working at the intersection of empirical economics, technological change, and policy impact. Key responsibilities Build and maintain relationships with academic institutions, policy think tanks, and other research partners as the primary point of contact for these organizations on economic impact work in your region Advance research collaborations that answer country- or regional-specific economic impact questions Translate research insights into actionable recommendations for policy discussions Make fundamental contributions to the development and expansion of the Anthropic Economic Index , including country- and regional-specific analysis Design and collaborate on empirical research on AI’s economic effects with governments, academia, industry, and civil society in your region Develop new methodological approaches, in collaboration with partners in your region, for studying AI’s impact on labor markets and the future of work; productivity and task transformation; economic inequality and displacement; industry-specific disruption and adaptation; and aggregate economic trajectories (GDP, productivity, unemployment) under varying AI-adoption scenarios Work cross-functionally with other technical teams to improve our measurement infrastructure and data collection Amplify external engagement through research publications, policy briefs, and presentations to diverse stakeholders Minimum qualifications PhD in Economics Strong track record of empirical research, particularly studies combining novel data sources and economic theory or implementing frontier methods in causal inference and machine learning Demonstrated experience working in, and relevant relationships across, the region Proficiency in Python, R, SQL, or similar tools for large-scale data analysis Demonstrated ability to lead complex research projects from conception to publication Demonstrated ability to communicate technical findings to diverse audiences Demonstrated ability to build relationships across academic, policy, and industry communities Preferred qualifications Experience relevant to the study of AI’s impact on the economy, such as labor market analysis and occupational change; task-based approaches to technological transformation; large-scale data analysis and econometric methods; large language models for social science research; policy-relevant economic research; experimental and quasi-experimental methods for causal inference; macroeconomic modeling and time series forecasting; or agent-based modeling and large-scale simulation Experience working with novel datasets and measurement systems Comfort learning new technical tools and frameworks Strong interest in ensuring AI development benefits humanity Comfort working with AI systems and ability to think critically about their capabilities and limitations Representative projects How Australia Uses Claude: Findings from the Anthropic Economic Index Anthropic Economic Index Report: Economic Primitives Anthropic Economic Index Report: Uneven Geographic and Enterprise AI Adoption Estimating AI productivity gains from Claude conversations The Anthropic Economic Index 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.

As a Senior Software Engineer, you'll be a key technical leader, driving the design, development, and maintenance of our core backend services. ● Lead System Architecture: Spearhead the architectural design of backend systems, ensuring they are secure, reliable, high-performance, and align with our long-term technical vision.

Location: Helsinki, Finland About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. About the team The Subscription Strategy & Performance team sets the strategic direction and performance bar for Wolt+ and Deliveroo Plus across EMEA. We sit within Subscription EMEA, whose vision is to build the best local-commerce membership programme in the region. The Strategy & Performance team owns the subscription strategy, planning rhythm, and performance, turning subscriber data into priorities, investment choices, and leadership-aligned strategies that other teams can act on. We work closely with other subscription teams and market teams. About the role We're looking for a Senior Associate to to own strategic projects and lead analyses that help define the strategy & goals for the team. You’ll partner closely with other subscription team members and local market teams to identify opportunities, align priorities and execute initiatives. You'll be expected to move fluidly between deep-dives, planning inputs, and stakeholder communication, and to be a trusted subscription counterparty on cross-functional projects. Success means you become the trusted counterparty for subscription related topics, leadership trusts your outputs, and your work helps to guide our priorities. Typical problems you'll own Where is subscription performance ahead or behind ambitions, what are the drivers and what interventions should we drive? How do we ensure we stay competitive and build a top class membership product across markets? What do customers value and how should we improve our product to be closer to our vision of a leading EMEA local-commerce membership programme? What you’ll be doing Identifying opportunities to improve subscription program performance across markets by analyzing gaps, doing opportunity sizing Building recommendations on levers to pull & product features to build to boost growth, improve profitability and build a winning subscription program Translating findings and recommendations into leadership communications: writing clear strategy documents and presenting recommendations, trade-offs Helping to set prioritization among investment choices when engineering, product and ops capacity is limited Helping to run the weekly operating & reporting cadence Exploring how AI and automation can speed up reporting, insight generation and recurring analysis workflows Our humble expectations 2+ years of experience in strategy & operations, strategy consulting, investments, or business operations - ideally with exposure to subscription/membership businesses, or consumer tech Commercial acumen: comfortable with consumer subscriber and marketplace dynamics; able to connect analyses to business implications and understand the consumer lens Analytical rigour: You go from question to query to narrative without needing a dedicated data engineer. You can read code, you’re comfortable with AI tools and master spreadsheets Bias for action and ownership: you bring structure to ambiguous problems and drive work to a finish, driving execution beyond recommendations Cross-functional influence: able to work with product, finance, legal, and local markets and align people around evidence Excellent written and verbal communication in English; you present trade-offs clearly to senior audiences Based in Helsinki or Berlin and comfortable with occasional cross-border travel as needed Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .

Location: Edmonton, Alberta, Canada Bradken is a leading solutions provider and global manufacturer of innovative, custom-engineered products for the resources sector. With a workforce of more than 3,000 employees, our ability to adapt and evolve keeps us firmly positioned as global leaders in the wear solutions market. About the role The Operations Administrative Assistant is responsible for reporting, tracking, coordinating, and maintaining key projects within the manufacturing group. The role supports manufacturing operations through KPI reporting and ERP data management. The Administrative Assistant provides administrative, reation, reporting, procurement support and general office administration. The role also supports reception management, mail distribution, and acts as backup for key roles as required.porting and coordination support to the Edmonton leadership team. Responsibilities include ERP administration, timecard processing, document control, meeting coordination. In this role you will: Report on production KPIs and departmental metrics. Assist with ERP data management and reporting requirements. ERP timecard entry. Manage incoming and outgoing mail, enter production data and reports, prepare CAPEX documentation and presentations, and maintain office supplies. Support recruitment activities as directed by the Site Manager. Support key manufacturing priorities. Assist with ERP data management and reporting requirements. Produce month-end reports for the Site Manager. Provide administrative support for manufacturing as directed. Collaborate with manufacturing teams to achieve departmental objectives. Support supervisors and managers with reporting and administrative requirements. Provide backup for the Operations Technician, prepare weekly schedules, and coordinate overtime call-outs. Promote a culture of safety, quality, and continuous improvement. Perform other duties as assigned. Schedule: Monday to Friday schedule with work hours 7:00am to 3:30pm. You will have: Qualifications: Minimum Grade 12 diploma or equivalent. Post-secondary education is preferred. Office Administration Certificate and/or equivalent experience. Experience: Experience using Microsoft Office applications. Experience supporting manufacturing or industrial operations. Experience with reporting and administrative functions. Administrative assistant experience is an asset. Skills and Knowledge: Advanced data entry skills (Microsoft Office, Excel and Word and Power Point). Strong organizational and multitasking abilities. Ability to prioritize work and meet deadlines. Strong written and verbal communication skills. Knowledge of ERP systems and manufacturing reporting. Excellent customer service skills. Why join Bradken? We believe our people are our greatest asset. Keeping our team safe and healthy; physically and mentally has always been our top priority. We encourage and support dynamic and flexible work options to promote a healthy balance and let you get the most out of your time. Bradken is committed to providing a safe, inclusive and collaborative workplace where people are encouraged to challenge existing thinking and develop better solutions. We live by our values of Challenge , Customer and Communication – they drive us to constantly move forward , to adapt and to thrive . Bradken is one of the world’s leading solutions providers for mining equipment parts. We specialize in the innovative design and manufacture of cast and fabricated iron and steel products for the mining and resources sector, and we also expertly serve rail and transit, energy, structural and industrial casting and defence markets. We offer: Successful applicants will be eligible for the following on DAY 1 of Employment : Full Health, Dental, and Vision benefits Life and AD&D coverage Short-Term and Long-Term Disability coverage Paid Vacation Successful applicants will be eligible for the following after 90 days of employment: RRSP with a company match Employee Training and Education Reimbursement opportunities Other Benefits: This position qualifies for eligibility to receive annual bonuses. How we hire : Before commencing employment , you will be required to complete a background check and pre-employment medical. We respectfully request no recruitment agency approaches. Bradken is an Equal Opportunity Employer and we are committed to providing a diverse, inclusive, engaging and flexible en­vironment for our people because great things happen when individuals are given the opportunity to bring themselves into their work. All employment will be based on merit, competence, performance and business needs. *While we thank all applicants for their interest, only candidates in consideration for the role will be contacted.

Location: Remote, Canada; Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Senior Ecosystem Operations Manager at GitLab, you'll own the technology, processes, and operational infrastructure behind our channel, distribution, original equipment manufacturer (OEM), global systems integrator (GSI), and managed service provider (MSP) partnerships. You'll shape how our partners go to market, serving as the primary process owner for deal registration, partner programs, partner quote-to-cash, and partner attribution. You'll combine operational strategy with hands-on execution, using artificial intelligence (AI) to automate workflows and help ecosystem operations scale. What you'll do Design and govern end-to-end partner processes, including deal and referral registration, service attach, two-tier distribution, rules of engagement, and quote-to-cash. Partner with Deal Desk and Billing on resale, distribution, OEM, GSI, and MSP transaction workflows, and resolve complex registration, quoting, and billing escalations. Own operational execution of partner tiering, onboarding, certification compliance, not-for-resale (NFR) licenses, rebates, and incentives, including eligibility tracking, approval routing, and payments. Own and administer the partner technology ecosystem, including Impartner partner relationship management (PRM), Salesforce customer relationship management (CRM) partner objects, deal registration, and partner portals. Maintain system health and data integrity, and co-manage vendor roadmaps, renewals, and service-level accountability. Partner with Revenue Technologies and Systems to maintain integrations across partner platforms, Salesforce, enterprise resource planning (ERP), quoting, billing, and financial systems, including partner attribution and compensation data flows. Lead prioritization and user acceptance testing (UAT) for implementations, migrations, and platform enhancements with IT and Enterprise Applications. Own the ecosystem data model and work toward one standard partner attribution record across the customer lifecycle. Serve as a resource for Ecosystem Sales, partners, and internal teams on attribution, territory, and compensation-impacting data, and maintain reporting and dashboards as a single source of truth for partner pipeline, registration activity, and program performance. Lead ecosystem month-end close with Deal Desk, Compensation, Accounts Receivable, and Finance, covering opportunity corrections, partner splits, territory review, and reconciliation. Identify, build, and deploy AI agents to automate workflows such as deal registration routing, NFR provisioning, partner data quality checks, and reporting. Evaluate processes for opportunities to reduce manual effort, improve consistency, and shorten cycle times. Maintain the authoritative ecosystem process map, runbooks, and training materials. Support tool configuration, testing, and end-user training. Own channel price files and partner quoting for product launches and stock keeping unit (SKU) changes. Coordinate improvements with operational peers, IT, Finance, Product, and Legal through GitLab Work Items. What you'll bring Experience in business-to-business software-as-a-service channel or partner operations, with direct ownership of ecosystem workflows and the ability to work independently in a remote environment. Hands-on experience with Impartner or an equivalent PRM platform, including deal registration and partner portal administration. Strong working knowledge of Salesforce CRM, including partner objects, opportunity management, Flow, validation rules, reports, and dashboards. Deep familiarity with resale, two-tier distribution, deal registration, rules of engagement, partner discounting, and partner quote-to-cash, plus an understanding of OEM, GSI, and MSP transaction structures and operational requirements. Direct experience operating partner programs, including tiering, certification compliance, rebates, and incentives, with responsibility for execution and compliance. Experience designing and documenting complex operational processes for distributed teams, translating business needs into detailed system requirements and configuration, and leading user acceptance testing through release. Hands-on experience using AI tools and building agents to automate operational workflows, from evaluating opportunities to delivering working solutions. Experience resolving ambiguous operational escalations across systems, teams, and partner relationships, and aligning Deal Desk, IT, Finance, Compensation, Legal, and Sales around operational changes. About the team Our Ecosystem Operations team works closely with Systems, Revenue Technologies, Deal Desk, Ecosystem Programs, Enablement, Finance, Compensation, and Legal. We enable consistent execution across Ecosystem Operations Specialists and cross-functional partners. You'll also partner with the Senior Hyperscaler Operations Manager, who owns Amazon Web Services and Google Cloud operations, on shared systems, the ecosystem data model, and month-end close. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $104,800 — $176,400 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Paris ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. ABOUT MISTRAL AI At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source, and cutting-edge models, products, and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include Vibe, the AI assistant for life and work, and Forge, our platform to build frontier models We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany, Dubai and Singapore. We are creative, low-ego, and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careersmistral.ai/careers http://mistral.ai/careers.     Role summary The Southern Europe Enterprise Sales organization is entering a rapid scaling phase. To support this growth, we are seeking a Chief of Staff to the VP of Revenue Europe South drive organizational effectiveness, strategic planning, and execution of high-priority cross-functional initiatives across the region. This is a strategic role offering exceptional exposure and global impact. You will work closely with the VP of of Southern Europe Enterprise Sales to structure the team, lead strategic projects, organize internal reporting, and liaise with other teams. This phase offers a unique opportunity to build a global perspective on partnership priorities while owning critical initiatives.     What You Will Do STRATEGIC LEADERSHIP AND PLANNING - Design and implement the next-stage Southern Europe Enterprise Sales operating model to support rapid headcount growth and expansion across the region (France, Italy, Spain, Portugal, and emerging markets). - Own annual planning, OKR orchestration, and executive performance reviews to improve alignment and execution discipline. - Drive company-level programs involving Sales, Partnerships,, Product, Marketing, Finance, and Operations (new market entries, enterprise account launches, sales plays). - Lead strategic projects to leverage AI for enhancing go-to-market effectiveness. OPERATIONAL EXCELLENCE - Drive preparation and follow-up of executive reviews, business performance tracking, and strategic decision-making processes. - Structure complex problems, define execution plans, and ensure delivery against business priorities. - Improve the GTM operating model, processes, and organizational effectiveness to support scaling. - Build scalable frameworks to support GTM growth and operational efficiency. CROSS-FUNCTIONAL COLLABORATION - Lead cross-functional strategic initiatives across the Partnership organization (Managed Service Providers, System Integrators, ISVs, …). - Facilitate alignment between Sales leadership and key internal stakeholders (Partnerships, Product, Finance, Marketing, etc.). - Serve as a point of escalation to resolve conflicts and drive decision velocity. - Collaborate with global teams to ensure consistency in execution across regions. PERFORMANCE AND IMPACT - Track and report on executive cadence effectiveness (QBRs, planning cycles, leadership rituals). - Monitor strategic initiative progress and execution quality. - Measure stakeholder satisfaction within the GTM leadership team. - Improve decision velocity and clarity across the organization.     ABOUT YOU - Education: Bachelor’s degree in Business, Marketing, Information Technology, or a related field. An MBA or advanced degree is preferred. - Experience: Minimum of 5 years in strategic operations, business development, GTM strategy, or consulting roles (e.g., Strategy Consultant at MBB/Tier-1/Tier-2, Business Operations, Chief of Staff, or Strategic Program Manager). - Executive Stakeholder Management: Experience working closely with C-level or senior leadership, high maturity in communication, influence and prioritization. Ability to operate with high autonomy and judgement - Scale and ambiguity mindset: Experience in fast-growing environments or high-pressure environments. Comfortable navigating ambiguity and evolving priorities - Industry Background: Experience in high-growth SaaS, AI, deeptech, or infrastructure industries. Exposure to AI, data, infrastructure, or developer-focused products is a strong plus. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.