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Location: United States (Remote) Workplace: Remote About the Role The Senior Analytics Engineer will help build the reusable analytical models, tools, and systems to power decisions across Temporal. This role reports to the Director of Data Engineering and Analytics. Ultimately, your goal is to make it possible for every Temporal employee to produce first-class analyses. You will work across multiple business domains, including Product, GTM, Finance, and Engineering to deeply understand their needs and build solutions that enable both people and agents to reliably answer their analytical questions. You will architect and implement the data layer that sits between our landed source data and our various user interfaces via canonical entities, shared dimensions, metric definitions, data marts, etc. That includes making core concepts such as accounts, namespaces, activation, billable usage, and revenue consistent wherever they are used. You will take direct ownership of work that is currently distributed across the Data Engineering and Analytics team, including data modeling, data mart and Omni Topic creation, and enablement. Along with helping to align our business logic across marts and dashboards, you will create clear technical governance and controls as you work to empower stakeholders across the business. You will work closely with Data Platform and Trust on orchestration, deployment, observability, access controls, performance, reliability, and cost. You will partner with Data Science and Applied AI on feature tables, model outputs, model consumption, and monitoring. You will work with business functions on source system hygiene, prioritization of tasks, and validating business meaning of shared metrics. The ideal candidate possesses strong SQL skills, sound business acumen, and deep expertise in building semantic products gained through years of experience across different tools, modeling frameworks, and subject areas. The candidate is comfortable with ambiguous business questions, knows when to build a reusable data product vs modify an existing one, and how to deliver practical solutions in keeping with an overall governance framework and strategy. You will be hands-on writing code, tests, documentation, and performing technical reviews. What You’ll Do - Build and maintain reusable analytical data products across Temporal's business domains. - Define canonical entities, shared dimensions, purpose-built marts, metric components, explicit grains, keys, lineage, and history behavior. - Design and maintain core parts of the Omni semantic layer and certified Topics, with clear definitions for measures, dimensions, joins, and time handling. - Establish and improve standards for modeling, metric implementation, documentation, and change management. Build automated checks for freshness, completeness, uniqueness, and relationships between datasets, and make failures visible to the teams that own them. - Reduce duplicated or conflicting logic across source tables, marts, Omni workbooks, dashboards, notebooks, and analytical agents. - Partner with Data Platform and Trust on deployment, orchestration, observability, access controls, performance, cost, and production reliability. - Partner with Data Science and Applied AI on feature tables, prediction outputs, model consumption, and monitoring. - Work with domain partners and senior stakeholders to turn ambiguous questions into precise definitions, reusable models, and trusted ways for teams to answer follow-up questions themselves. - Help qualified contributors outside Data Engineering and Analytics create tables, models, notebooks, and workbooks through controlled sandboxes, templates, automated checks, review, and promotion into shared-use environments. - Make important data products understandable and usable for people and analytical agents through documented contracts, metadata, ownership, quality status, and retrieval guidance. - Contribute to architecture decisions, design reviews, code reviews, and coaching while remaining hands on in SQL/code, modeling, testing, and documentation. What You’ll Focus on First - During your first several months, you will help the team: - Document ownership of the core Analytics Products portfolio and identify high-risk duplicated or conflicting metric logic. - Publish the initial canonical entity and mart architecture, including clear standards for grain, keys, history, lineage, and quality controls. - Launch governed contribution templates, automated checks, and a review and promotion process for qualified contributors outside DEA. - Create a practical certification and retirement process for metrics, Topics, dashboards, and shared data products. - Deliver an initial version of one agreed priority data product, such as a revenue, PLG, or account-level model. What You’ll Bring - Advanced SQL experience, including the ability to reason about correctness, performance, and maintainability. - Working proficiency in Python to build and maintain jobs that create and alter tables in the data lake. - Experience with data transformation frameworks such as DBT, SQLMesh, etc - Data mart design experience using modeling techniques such as dimensional and entity centric modeling. - Experience implementing and maintaining a semantic layer or governed metrics. - Advanced knowledge of grain, keys, history, lineage, contracts, and quality controls. - Git, review, automated tests, CI/CD, and production ownership. - Translating ambiguous questions into reusable products. - Improving self-service while maintaining shared definitions. - Working with senior business and technical stakeholders. Helpful Experience - S3, Athena, Iceberg, Hive, or another open lakehouse architecture. - Hands-on experience with Omni Analytics, Looker, or a comparable semantic layer. - Experience orchestration systems. - Usage-based B2B SaaS, cloud infrastructure, developer tools, or consumption-based revenue. - Building governed contribution programs. - Designing metadata or semantic products for analytics agents.   Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity. Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.

Location: United States (Remote) Workplace: Remote About the Role The Data Scientist, Product Growth and Experimentation will help drive decision making in support of our Product Led Growth function. This role sits at the intersection of Data, Product, Growth, and GTM. You will work deeply embedded within the Product and Engineering teams focused on PLG. Your focus will be illuminating the user journey from initial interest to fully adopted and all the steps in between. You will surface friction points in the onboarding process and identify behaviors that are indicative of successful adoption. You will evaluate interventions that help us to bring the value of Temporal to more users. You will work effectively across both large data, clean data sets and data sets with constraints in duration and sample size to provide well-informed recommendations and conclusions. You will bring deep knowledge and practical experience with statistical methods including matched comparisons, quasi-experimental methods, and uncertainty measurements to help overcome these constraints. The ideal candidate possesses strong analytical judgment and practical product sense. Ambiguous business questions do not intimidate you. You have a keen sense for when additional data or analysis could materially change a conclusion, and when it wouldn’t. You apply analytical rigor while balancing what is functionally required to advance a project. Your aim is to drive better decisions and faster learning through measurable customer outcomes. WHAT YOU’LL DO - Act as an embedded Data partner to Product, Design, and Engineering, helping shape strategy, product proposals, and experiments from the earliest stages. - Build analytical frameworks across the full PLG journey from acquisition and activation through engagement, adoption, expansion, monetization, and durability - Use funnel, cohort, journey, and sequence analysis to identify friction and opportunities for improvement. - Identify the behaviors and milestones that predict conversion, production readiness, expansion, churn, and long-term customer success, and translate them into leading indicators for successful or stalled accounts. - Analyze feature discovery and adoption patterns to recommend interventions that increase successful adoption and expansion. - Design and evaluate experiments and product changes, using matched comparisons, pre/post-intervention analysis, causal methods, and other appropriate techniques when conventional A/B testing is not practical. - Clearly distinguish observed results from assumptions, quantify uncertainty, and explain the confidence behind each conclusion. - Help prioritize growth opportunities based on potential impact, confidence, effort, and measurement feasibility. - Build reusable datasets, metrics, dashboards, and analytical tools that reduce ad hoc work and make insights accessible to Product, Marketing, Sales, and leadership. - Partner with Engineering and Data Engineering to improve event instrumentation, data quality, and the analytical models required for reliable product analysis. - Communicate findings through clear visualizations, written narratives, and practical recommendations for technical and non-technical audiences. WHAT YOU’LL FOCUS ON FIRST During your first several months, you will help the team: - Audit signals currently captured in the onboarding flow and recommend new instrumentation as needed - Establish reporting and repeatable analysis for PLG experiments. - Analyze user behavior after the first successful Activity or Workflow. - Identify signals of production readiness and common points where users stall. - Map feature-adoption paths across important product areas. WHAT YOU’LL BRING - A strong foundation in statistics, experimental design, causal reasoning, and quantitative analysis. - Experience using product, behavioral, or event data to improve activation, engagement, retention, conversion, or expansion. - Experience working with small samples, noisy signals, imperfect control groups, or environments where standard A/B testing is not always possible. - Strong judgment in choosing methods that fit the decision, available data, and level of uncertainty. - Proficiency in SQL and Python for analysis, modeling, and automation. - Experience with cohort analysis, funnel analysis, segmentation, predictive modeling, and supervised or unsupervised machine-learning methods. - Ability to prototype quickly in notebooks and convert recurring analyses into reliable data products, models, or workflows. - Experience with modern data platforms and query engines such as Athena, Presto/Trino, BigQuery, or Snowflake. - Familiarity with cloud and object-store technologies such as AWS S3. - Experience building dashboards and reusable analytical assets in a modern business intelligence platform. - Comfort working with evolving definitions, incomplete instrumentation, and trade-offs between analytical precision and decision usefulness. - A results-oriented mindset and a record of translating analysis into product or business action. - Strong communication skills, including the ability to explain methods, uncertainty, and recommendations in plain language. - Curiosity about developer platforms, cloud infrastructure, usage-based products, and how customers adopt technically complex products. - A collaborative approach and the ability to work effectively with Product, Engineering, Marketing, Sales, Finance, and Data partners. Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity. Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.

Location: Remote - US West About the Job: We're looking for a senior security leader to run our Product Security team and partner to the Director of Security. In this role, you'll own how Security operates: a program led by risk rather than audit calendars, where engineering teams own their security health and Security informs, guides, and validates, where automation and AI take the first pass on every finding, and where posture is measured and published to executives every quarter. You'll build that model, starting with Product Security and extending across the division. You'll bring a balance of people management, security judgment, and program leadership as you manage a team of security engineers, act as incident manager of record, hold delegated approval for vendor and access decisions, and run the division when the Director is in an audit, a board cycle, or on vacation. You'll work closely with every engineering team to make the secure path the easy one. Responsibilities: Manage the portfolio of your team's work, appropriately managing everyone's time and assigning them to the highest priority work. Help your team and the engineering organization make sense of, and simplify, how security work gets done: who owns what, what is automated, and what Security stops doing. Guide product engineering teams in owning their own security health: findings route to them with mapped severity, Security reviews and validates rather than fixes, and each team sees its security health in its own service review. Own the wiring and routing of security findings and requests, driving down noise and the human-decision rate across intake, triage, and review. Serve as incident manager of record for security incidents: first escalation for our service-level commitments, delegated approver for vendor and access decisions, and cover for the Director's operational duties. Publish posture: monthly service-level attainment to engineering, quarterly posture to the executive team, and a risk register that drives priorities. About You: You have led a security team out of the gatekeeper model once already, and you can say what teams owned afterward, what Security stopped doing, and what the numbers did. You think in risk, not control lists, and you would rather defend a priority call than a checklist. You treat automation and AI as the first responder and yourself as the escalation path. You have been the second leader to a director or CISO and know which decisions to make in their name. You have run security incidents end to end, including the comms and the review afterward. You were a strong Senior or Staff security engineer before you managed, and you can still read a PR, a threat model, or a cloud finding and make a call. You track and drive metrics, and you understand what they can and can't tell you. Qualifications: 5+ years of experience in a formal security or engineering management role, including managing senior engineers. Experience moving a security function from gatekeeper to team ownership, with measurable results. Experience as incident manager for security incidents at a SaaS company, including external communication. Experience guiding teams through technical tradeoffs and developing senior engineers' careers. The ability to track and drive metrics, and the wisdom to understand what they can and can't tell you. Familiarity with AWS security at scale and with external audits (SOC 2, ISO 27001, or FedRAMP) as a participant or control owner. Excellent communication skills with both technical and non-technical stakeholders. A thoughtful, empathetic approach to leadership and collaboration. Pay: Target pay ranges based on Geographic Zones* for Level M3: Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $240,600 - 330,700* Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $216,500 - 297,600 ** Zone 3: All other US locations - $ 204,500 - 281,100 ** All Zones Inclusive of 15% Bonus Target LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location. *Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas. **Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary. About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: Improving the velocity and stability of software releases, without the fear of end customer outages Delivering targeted experiences by easily personalizing features to customer cohorts Maximizing the business impact of every feature through the ability to experiment and optimize Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at hr@launchdarkly.com . Do you need a disability accommodation? Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @LaunchDarkly .com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com .

Location: San Francisco, CA; New York, NY Workplace: OnSite ABOUT US At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale. We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry. More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale. ABOUT THE ROLE: We’re hiring a Sales Development Manager (New York City or San Francisco) to lead and scale our founding SDR team at LangChain. Our SDRs play a critical role in helping companies adopt LangChain and LangSmith. They engage technical buyers, convert high inbound interest into qualified opportunities, and work closely with our sales and marketing teams to build pipeline. This role will own the performance, coaching, and development of the SDR team, while helping design the systems, processes, and workflows that power their GTM motion. You’ll partner closely with sales, marketing, and and RevOps to continuously improve how we identify and engage the right accounts. WHAT YOU'LL DO: - Lead and coach a team of SDRs responsible for generating qualified pipeline - Own SDR performance including activity metrics, conversion rates, pipeline creation, and attainment - Recruit top SDR talent and grow the team as LangChain continues to scale - Develop SDR talent through coaching, call reviews, and structured feedback - Build repeatable outbound and inbound qualification playbooks - Partner with marketing to convert inbound demand into qualified opportunities - Work with sales leadership and RevOps to align on target accounts, territories, and pipeline goals - Implement systems and workflows that improve SDR productivity and effectiveness - Use data to continuously improve performance, analyzing conversion rates across the funnel HOW TO BE SUCCESSFUL IN THIS ROLE: - Have 5+ years of experience in sales development - Have 1–3+ years managing SDRs or leading a sales development team - Are comfortable working with technical products and developer audiences - Have experience with modern GTM tooling (AI Agents, LinkedIn Sales Nav, Power Dialers, etc.) - Are highly data-driven and comfortable managing performance through metrics - Are passionate about coaching and developing early-career sales talent - Thrive in fast-moving environments where processes are still evolving - Have strong communication and organizational skills COMPENSATION PHILOSOPHY: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: Lomira, WI Document Controls Manager Location: Project-Based (Wisconsin, Missouri, Wyoming, Texas, and future project locations) Employment Type: Full-Time Work Environment: Primarily Site-Based (Long-Term Project Assignments) Lead Information Management for Mission-Critical Infrastructure Projects The successful delivery of hyperscale data centers depends on accurate information, disciplined document management, and effective collaboration across engineering, procurement, construction, quality, commissioning, and operations teams. As project campuses grow in size and complexity, effective information management becomes essential to maintaining schedule certainty, quality standards, commissioning readiness, and successful project turnover. As a Document Controls Manager with Michels Infrastructure Solutions, you will lead document management processes, information governance programs, and project-information systems supporting some of North America's largest and most complex mission-critical infrastructure projects. Your efforts will help ensure project teams are working from accurate information, approved documentation, controlled revisions, and complete project records throughout every phase of project delivery. About Michels Infrastructure Solutions Michels Infrastructure Solutions (MIS) brings together the full capabilities of the Michels Family of Companies under a Super General Contractor (Super GC) model, providing mission-critical owners and developers with a single point of accountability for every phase of project execution. By combining self-performed specialty design, construction, and commissioning services, MIS delivers large-scale, multidisciplinary projects with greater control over safety, quality, schedule, and cost. MIS specializes in the delivery of hyperscale data centers and mission-critical facilities, leveraging expertise across mass grading and site development, wet and dry utilities, fiber and telecommunications infrastructure, ground improvement, deep foundations, structural concrete, power infrastructure, and commissioning. Our integrated delivery approach enables customers to partner with a single-source team capable of executing some of North America's most complex and demanding infrastructure projects. Position Overview As a Document Controls Manager , you will lead the development, implementation, and management of document-control systems, information-management processes, workflows, reporting systems, and governance standards supporting major hyperscale data center construction projects. During the early phases of project development, you will support information-management activities associated with design development, permitting, utility coordination, procurement planning, engineering deliverables, and site-development documentation. As projects progress, you will oversee the flow of information supporting construction execution, quality management, commissioning activities, turnover readiness, and final project closeout. You will be responsible for ensuring project documents, engineering deliverables, procurement records, construction documentation, quality records, commissioning packages, and turnover deliverables are properly managed, maintained, controlled, and distributed throughout the project lifecycle. This role serves as a strategic partner to Project Management, Engineering, Procurement, Construction Operations, Project Controls, Quality, Commissioning, and Owner teams by ensuring critical information remains accurate, accessible, and audit-ready. Success requires strong leadership, process discipline, attention to detail, organizational capabilities, and a commitment to maintaining information integrity from project kickoff through final turnover. Key Responsibilities Lead document-control and information-management activities throughout all phases of project execution. Develop and implement document-management procedures, workflows, standards, naming conventions, and information-governance practices. Manage document-control systems supporting engineering, procurement, construction, quality, commissioning, and turnover activities. Ensure project documentation is maintained in accordance with contractual requirements, project standards, customer requirements, and internal procedures. Establish drawing-control processes across civil, utility, structural, telecommunications, power, and commissioning disciplines. Lead document-control personnel and establish priorities, workflows, performance expectations, and reporting requirements. Ensure project teams are working from current approved revisions and controlled documentation. Support development of turnover-documentation strategies and project-record requirements from project inception through project closeout. Maintain accurate, organized, and audit-ready project records throughout the project lifecycle. What You'll Do Establish and manage document-control systems, processes, naming conventions, retention requirements, metadata standards, and approval workflows. Oversee document processing, distribution, tracking, revision control, retrieval, and archiving activities. Manage project documentation including: Drawings Specifications RFIs Submittals Transmittals Correspondence Contracts Procurement records Permitting documentation Utility-coordination records Quality documentation Inspection reports Test reports Commissioning documentation Asset documentation O&M manuals As-built records Turnover packages Ensure project teams are working from current and approved document revisions. Track review cycles, approvals, overdue items, workflow bottlenecks, and outstanding action items. Develop and maintain document logs, dashboards, reporting tools, compliance reports, turnover trackers, and project metrics. Support engineering, procurement, project controls, construction, quality, and commissioning teams with document-management requirements. Coordinate document exchanges between customers, engineering consultants, vendors, subcontractors, commissioning teams, and affiliated Michels companies. Lead document audits and quality reviews to ensure compliance with project requirements. Support preparation and delivery of owner turnover packages, digital project records, O&M manuals, commissioning records, and final project deliverables. Monitor document-control KPIs and workflow-performance metrics. Ensure information-management systems support project execution, turnover readiness, and long-term record retention. Lead continuous-improvement initiatives related to information management, document control, turnover readiness, and digital project delivery. Leadership & Team Development Lead, mentor, and develop Document Controls Engineers, Document Control Specialists, Coordinators, and project-administration personnel. Establish and maintain document-control standards across assigned projects. Promote accountability, consistency, accuracy, responsiveness, and information integrity across project teams. Partner with project leadership to ensure documentation requirements are incorporated into project execution strategies. Drive continuous process improvements that enhance efficiency, organization, compliance, collaboration, and information accessibility. Why Michels Infrastructure Solutions, Inc.? We deliver some of North America's largest and most complex hyperscale data center and mission-critical infrastructure projects. We leverage a unique Super GC delivery model that combines specialty construction capabilities under a single-source execution approach. We provide exposure to every phase of project delivery, from planning, permitting, procurement, and construction through commissioning and turnover. We provide opportunities to lead the information-management programs supporting nationally significant infrastructure projects. We are family owned and operated. We invest an average of $5,000 per employee per year in training and career development. We perform meaningful work that supports cloud computing, artificial intelligence, digital connectivity, and economic growth. We believe everyone is responsible for promoting safety, regardless of job title. We are part of the Michels Family of Companies, one of North America's largest and most diversified energy and infrastructure contractors. We offer opportunities for advancement across project controls, commercial management, project management, quality, procurement, information management, and operations. Why You? You like to surround yourself with dedicated, value-driven people. You relish new challenges and evolving technology. You cringe when you hear: “Because that's the way we've always done it.” You thrive in structured environments where organization, accuracy, and accountability matter. You enjoy improving processes and helping teams work more efficiently. You understand that accurate information is critical to successful project execution. You enjoy creating systems that improve collaboration, visibility, and project performance. You want to make your own decisions but know support is always available. You want your efforts noticed and your results to make a meaningful impact. You want to work to make a difference. What It Takes Bachelor's degree in Construction Management, Engineering, Business Administration, Information Management, Project Controls, or a related discipline and 7+ years of document control, information management, project controls, engineering support, or construction administration experience , or an equivalent combination of education and experience. Experience supporting large-scale civil, utility, industrial, EPC, power, mission-critical, infrastructure, or data center construction projects. Demonstrated experience developing and managing document-control systems, procedures, workflows, information-management programs, and reporting systems. Strong understanding of engineering documentation, RFIs, submittals, transmittals, procurement documentation, quality records, commissioning documentation, turnover requirements, and project-record management. Experience managing document-control activities throughout engineering, procurement, construction, commissioning, and project-closeout phases. Demonstrated leadership experience managing document-control teams or project-support personnel. Strong understanding of revision management, information governance, audit readiness, records management, and turnover-documentation requirements. Experience supporting owner turnover packages, operation and maintenance manuals, asset documentation, commissioning records, as-built development, and project closeout requirements. Experience supporting digital project-delivery and information-management systems preferred. Proficiency with Microsoft Office Suite. Experience with Autodesk Construction Cloud, Procore, Aconex, SharePoint, BIM 360, InEight, Unifier, Prolog, or similar information-management platforms preferred. Strong organizational, analytical, communication, leadership, problem-solving, and process-improvement skills. Ability to manage multiple priorities, stakeholders, workflows, and deadlines in a fast-paced project environment. Valid driver's license with an acceptable driving record. Ability to support long-term, site-based project assignments at hyperscale data center and mission-critical construction projects throughout North America. This position is primarily project-based, with significant collaboration occurring directly from active project sites. Initial project opportunities are expected to be located in Wisconsin, Missouri, Wyoming, and Texas, with future assignments determined by business needs and project awards. Join a company that powers progress. Be a part of Michels Infrastructure Solutions, Inc.—where you don't just build projects, you build a career. AA/EOE/M/W/Vet/Disability https://www.michels.us/website-user-privacy-policy/

Location: United States, Austin, TX Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Data Engineer PlayStation's Infrastructure Business Operations team is looking for a Data Engineer to build the data foundation for understanding the cost, utilization, and economics of PlayStation’s global infrastructure. Our infrastructure spans data centers, compute, storage, networking, Kubernetes, public cloud, SaaS, and other technology services. You will work alongside our engineering, product, finance, FinOps, and operations teams to build a data platform that can connect these disparate data sources into a trusted view of how our infrastructure is used, what it costs, and ultimately how those costs contribute to the economics of our products. You will own the end-to-end implementation, starting with identifying the questions that matter, determining the data required to answer them, building the pipelines and models to make that data reliable and accessible, and finally turning it into insights that drive better decisions. What You’ll Do Build scalable data pipelines that ingest, transform, and combine physical infrastructure, engineering system, financial, and product data. Develop cost and allocation models that connect infrastructure consumption to workloads, services, features, and products. Partner with engineering teams to understand complex infrastructure and identify the telemetry and instrumentation needed to measure it. Analyze infrastructure cost, utilization, capacity, and unit economics to help drive key business decisions across all our teams. Create trusted metrics, datasets, dashboards, and analytical tools used by engineering, product, Finance, and leadership. Establish strong practices around data quality, testing, observability, documentation, and reproducibility. Explore new data sources and technologies that improve how we understand and operate our infrastructure. What We’re Looking For 3+ years in a similar role, focused on building production data pipelines, data models, and analytical systems. Advanced SQL skills and proficiency with Python or similar data-oriented programming languages. Experience with modern data platforms and tooling such as Snowflake, Databricks, dbt, and automated ETL/ELT pipelines. Strong analytical skills—you’re comfortable investigating the data yourself, challenging results, and translating findings into clear conclusions. Experience working with large, complex datasets across multiple systems and levels of granularity. Ability to translate ambiguous business and technical problems into measurable requirements and scalable data solutions. Experience and flexibility with current analytics and visualization tools. Familiarity with teams and engineering systems that utilize both on-prem and cloud infrastructure. Strong communication skills and the ability to work across global engineering, product, Finance, and business teams. Nice to Have Bachelor’s degree in computer science Experience with AWS, Google Cloud, or Azure billing and usage data. Experience with Kubernetes telemetry, networking, or data center operational data. Familiarity with infrastructure cost allocation, unit economics, capacity planning, forecasting, or FinOps. Experience connecting technical infrastructure consumption to product or business metrics. PlayStation isn't just the Best Place to Play - it's also the Best Place to Work. We've thrilled gamers since 1994 when we launched the original PlayStation. Today, we're recognized as a global leader in interactive and digital entertainment. The PlayStation brand falls under Sony Interactive Entertainment, a wholly owned subsidiary of Sony Corporation. Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to race, color, religion, gender, pregnancy, national origin, ancestry, citizenship, age, legally protected physical or mental disability, covered veteran status, status in the U.S. uniformed services, sexual orientation, marital status, genetic information 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. We sincerely appreciate the time and effort you spent in contacting us and we thank you for your interest in PlayStation. 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 (where applicable) 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 | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Podcast Media Manager at Anthropic, you will own how Claude shows up in podcasts, one of our most important channels for reaching professionals and knowledge workers. This is not a traditional media buying role. We're looking for someone to build a refreshed, proactive podcast strategy: securing the right shows before they're obvious, going beyond standard ad reads, and creating unique partnerships that fully integrate our product into shows in ways no other brand is doing. In this role, you'll own our podcast program end to end, from annual strategy and show selection through network buys, scripts, pacing, and reporting across 100+ shows. You'll sit on the influencer marketing team and partner closely with growth marketing on performance goals and in-house campaigns, brand marketing on major campaign flights, enterprise marketing on B2B buys and scripts, creative and copy teams on reads and refreshes, comms teams on messaging and media buying teams/agencies on execution. Key responsibilities Own podcast strategy for Anthropic, setting where we show up instead of reacting to inbound pitches Lead podcast strategy flights for major campaigns end to end, from planning through reporting Manage network buys across major audio publishers including Spotify, Amazon, NYT, and others Develop year-long buys with top shows and media outlets, identifying and pitching partners before they come to us Build partnership packages that go beyond ad reads to include bonus episodes, video, live events, and social Partner with creative and copy teams as their main point of contact on podcast work, establishing a repeatable process for scripts and copy points Manage voice-actor reads and QA spots before they air Develop a refresh cadence for reads so messaging stays current across 100+ shows, tailored to each show's audience Manage agency relationships, pushing partners to deliver the best rates, placements, and ideas Track pacing across buys and shift budget as performance data comes in Present results and learnings back to the team on a regular basis Partner with growth, brand, and enterprise marketing to align podcast plans with performance goals, campaign flights, and B2B objectives Minimum qualifications Have deep experience in podcast media buying at a tech or consumer company with a substantial podcast budget Have managed podcast programs in-house directly, not only through an agency Have run both agency partnerships and in-house podcast programs, and know how to get the best work out of each Are skilled at managing and pushing media agencies to secure strong rates, placements, and ideas Can spot up-and-coming shows before they're obvious and back your picks with a clear rationale Bring creative ideas that go beyond the standard ad read, from bonus episodes to live events to product integrations Are comfortable owning the details of execution, including scripts, QA, pacing, and reporting, alongside long-range strategy Work well across many partner teams and can build repeatable processes that scale Enjoy shaping a program from the ground up rather than maintaining an existing playbook Are excited about Anthropic's mission to develop AI that is safe and beneficial Preferred qualifications Experience negotiating year-long or multi-format partnerships with top shows or networks A background in copywriting or close collaboration with creative teams on host-read scripts Familiarity with B2B audiences and enterprise-focused podcast buys Experience with podcast measurement, attribution, and incrementality testing Relationships with major audio publishers, networks, and independent hosts Experience extending podcast partnerships into video, social, or live formats Familiarity with AI products or the broader developer and knowledge worker audience 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: $200,000 — $255,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Vancouver, BC Our work informs teams at every level of Asana and drives key roadmap decisions. We partner with Product Design, Product Management, Data Science, and Engineering, as well as business and marketing teams, to develop valuable insights about customer behaviors and attitudes, translating them into actionable recommendations. We think deeply about new areas, help develop and test concepts, and improve products and services once they’ve rolled out. As a Senior Experience Researcher, you will be a strategic partner who not only executes high-impact research but also shapes the research culture to elevate our collective craft. This role is based in our Vancouver office. Day to day collaboration is split roughly 50/50 between Vancouver teammates and San Francisco teammates. Locally, you will work closely with our PLG Adoption teams, specifically partnering with the AI Activations (AIA) and Conversion and Retention (CoRe) teams. Key local partners include Product Managers, Designers, and Engineering leads. We operate with an office-centric hybrid schedule. In-office days are Monday, Tuesday and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you interview for this role, your recruiter will share more about in-office requirements. In this role, you will help shape and scale Asana’s Product-Led Growth (PLG) self-serve business. We recently launched several major new products—including AI Teammates, a Meetings product, and Asana for Client Management (ACM). We are also preparing two more major product lines for launch, which will unlock entirely new workflows and use cases for our customers.  Historically, our growth relied on selling more seats or moving customers to higher tiers. Now, we have multiple new growth vectors, from AI credit consumption to these brand new product offerings. You will play a pivotal role in uncovering how to introduce users to these products, encourage users to try them, adopt them into their daily workflows, and deepen their usage over time. The Experience Researcher plays a key role in defining the product roadmap and influencing how our PLG adoption strategy evolves. What you’ll achieve In your first 4-5 months, you will partner with Adoption teams on immediate Q4 roadmap priorities, building out the self-serve pathways to buy and adopt our newest products. Over time, your remit will expand as we roll out self-serve motions for additional products. Be a strategic partner: Together with your cross-functional partners (Product, Design, Engineering, Data Science) you’ll uncover how to best introduce users to Asana’s new products, encourage users to try them out, drive adoption in daily workflows, and deepen usage over time. Drive ACM self serve growth: Research how users discover Asana for Client Management (ACM), start using it, adopt advanced features, and expand its footprint across their organization. Uncover opportunities and pathways for how AI teammates, the Meetings product, and the client portal help customers extract more value from ACM and invite cross-functional collaboration. Lead research on new concepts: Lead research on new concepts: Drive exploratory and evaluative research for upcoming product additions, assessing whether new concepts and personalized experiences feel valuable enough to encourage user engagement and organic sharing. Build a foundation for future PLG offerings: Identify high-impact research needs to support the self-serve rollouts for the next two major product launches. Connect insights to business impact: Ensure research directly influences the roadmap to meet critical business metrics, supporting our goals for AI ARR growth, higher-LTV customers, and increased NRR. About you 6+ years of experience practicing UX Research for digital products, with a proven track record of leading large-scale projects. Strong proficiency in mixed-methods research , seamlessly combining qualitative deep-dives (contextual inquiry, prototype testing) with quantitative validation (survey design, behavioral data analysis) to triangulate insights and build high-confidence recommendations. Mature product judgement with the ability to distill messy signal into clear, "low-polish" deliverables that drive immediate decision-making. Strong organizational leadership and the ability to manage multiple complex workstreams while building deep trust and rapport with senior stakeholders. Deep understanding of interaction design and content hierarchy, allowing you to partner effectively with Design and Content Strategy to reduce friction and drive user action. Persuasive communicator who can influence product strategy through storytelling and evidence-based recommendations. Actively experimenting with AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making. We’re looking for researchers who can harness AI to extend and deepen the ways in which we develop insights and leverage them across the org. What we’ll offer Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. Estimated Base Salary Range: $132,000- $178,000 Equity and Benefits: Compensation includes equity and a comprehensive benefits package. Well-being: Mental health, wellness & fitness benefits, and inclusive family-building support. Growth: Career coaching and professional development support. Culinary: In-office culinary options tailored to your dietary preferences. Future: Long-term savings and retirement plans. About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. Join Asana’s Talent Network to stay up to date on job opportunities and life at Asana.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers its members to improve their health and perform at a higher level by providing a deep understanding of their bodies and daily lives. The Health team develops the algorithms and features that expand WHOOP's health sensing capabilities. The work spans women's health, wellness and longevity, member insights, emerging health signals, and software as a medical device. Applied ML Scientists and ML Engineers work as a production unit: scientists own problem framing and modeling; engineers own the path to production. As a Senior Manager, Machine Learning on the Health team, you will own delivery and people outcomes across a mixed team of scientists and engineers. You will translate department strategy into clear quarterly plans, develop senior ICs (and, as the team grows, the next layer of managers), hire against a high bar for both crafts, and partner with Product and adjacent Health partners on what is worth building and what the data can support. You will stay close enough to the ML lifecycle to evaluate the team's most important decisions without becoming the default contributor. Success in this role requires enough ML and health-domain fluency to earn trust from senior ICs, plus the people-leadership skill to grow that team, hold delivery across multiple workstreams, and make prioritization calls under uncertainty. RESPONSIBILITIES: - Own delivery, team health, and people outcomes across Health ML workstreams on a mixed Applied ML Scientist and ML Engineer team. - Translate department strategy into quarterly plans, milestones, and success criteria; keep the team on the highest-leverage work and adapt deliberately as priorities shift. - Build the team: lead hiring across science and engineering roles, calibrate the bar for each craft, and shape onboarding, leveling, and growth practices. - Develop the next layer of leadership: coach senior ICs (and managers, as the scope grows), manage performance with clarity and care, and create the conditions for people to operate above their level. - Set the standard for how Health ML gets built: work quality, evaluation rigor, review practices, and an operating model that holds as people and workstreams change. - Partner directly with Product (and with clinical, software, and Digital Health partners as the work requires) to align on roadmap, evidence, and sequencing; broker trade-offs between iteration speed, scientific integrity, and member value. - Own the risk posture for the team: anticipate execution, technical, and people risks, design mitigation into how the team operates, and keep senior leadership clearly informed of the most consequential decisions. - Define and own the operating model: planning cadences, design reviews, decision forums, and quality gates appropriate to member-facing health ML. - Build and continuously raise AI-enabled workflows that create measurable leverage across the team, for development, evaluation, documentation, and stakeholder communication. - Represent the team's work credibly to executive and cross-functional audiences with brevity, evidence, and clarity. QUALIFICATIONS: - 7+ years of experience in machine learning, applied science, or software engineering, with 3+ years managing engineering and/or science teams. - Bachelor's degree in Computer Science, Engineering, Applied Math, Biomedical Engineering, or a related field; advanced degree preferred. - Demonstrated track record managing highly senior ICs: hiring, performance management, and developing people who in turn raise the bar around them. - Deep familiarity with the ML development lifecycle (data collection, model training, evaluation, validation, deployment, and monitoring), sufficient to evaluate the most important technical and methodological decisions the team makes. - Experience shipping algorithms or ML-enabled product in health, wearables, digital health, or a closely related applied domain. - Demonstrated ability to set direction and make timely prioritization calls under uncertainty, keeping team focused on the highest-leverage work. - Demonstrated AI-tooling sophistication: a track record of building or adopting AI-enabled workflows that materially improved team speed, quality, or decision confidence. - Clear, high-signal communicator who can move fluidly between technical ML discussions and executive-level summaries of risk, trade-offs, and direction. - Depth in a Health domain WHOOP already works preferred (member insights, women's health, cardiometabolic or respiratory health, sleep, strength / healthspan, neuroscience, or related physiological time-series work). - Preferred experience as a counterpart to Product on ambiguous health or member-insight problems: scoping, sequencing, and pushing back when a claim is not supportable. - Familiarity with clinical validation, evidence packages, or Digital Health partnership on higher-stakes regulated health features preferred.   Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.   The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.   At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.   The U.S. base salary range for this full-time position is $170,000 - $230,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.   In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.   These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.   Learn more about WHOOP https://www.whoop.com/us/en/careers/?srsltid=AfmBOopKmph9d0DLBlogZu8mx6do0dzjNS8eJlfc4PQqQtdU6F8DGKBg.

Location: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. The Opportunity Grafana Labs is looking for a Sales Operations Manager to support our GTM organization by managing advanced models, improving our data structure, and strengthening our operational processes. Reporting to the Sr Director of Field Operations, this role will focus on target setting, quota creation, and reporting for our consumption based product suite. The ideal candidate is highly analytical, excels at translating complex business realities into structured models, and thrives in a fast-paced, data-heavy environment. What you'll be doing: Improve and maintain core models of our account base as it relates to consumption growth across the GTM organization. Partner with the larger Revenue Operations and Compensation team to manage monthly compensation updates and drive improvements in existing processes. Conduct deep-dive analyses on our customer product engagement to drive decisions around our product investment, GTM segmentation, and territory planning decisions. Work within Google BigQuery (SQL) to extract large datasets for reporting. Influence data orchestration between BigQuery, Google Sheets, and compensation tools to streamline calculations and execution of compensation. Manage exceptions directly with Sales. Independently execute ad-hoc reporting requests, delivering actionable insights What Makes You a Great Fit: 4+ years of experience in strategy and operations, consulting, business analytics, or compensation. Comfort working with large datasets and ambiguous problems, with the ability to distill key takeaways. Strong problem-solving skills – able to translate business challenges into structured models and insights. Excellent communication skills with executive audiences - explain “what it is”, “why it matters” and “what should we do” in terms of your data and analysis. Ability to work independently and drive analysis with minimal guidance. Expert-level Excel or Google Sheets modeling skills, including advanced formulas, pivot tables, and data visualization. Proficiency in SQL and data orchestration between BigQuery and GTM tools Experience with Salesforce reporting, dashboards, validation rules, and flows. Experience with compensation tools like Xactly, Apttus, or CaptivateIQ Bonus Points For: Previous experience in open source Experience with data visualization tools like Tableau or Looker. Grafana visualization as a plus Compensation & Rewards: In the United States, the OTE (On-Target Earnings) compensation range for this role is $ 125,000 - $148 ,000 Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. #LI-Remote *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Remote, US Role Overview We are looking for an experienced Senior Azure DevOps Engineer who will partner up with our product and technology teams to design and develop processes and systems that enhance our Azure cloud environment in areas like monitoring, optimization, automation, data maintenance, and security tooling to make us more scalable, more secure, and help us deliver more real-time systems for our users. If you are experienced with Azure networking (i.e. VNet, Subnets, NSGs, and ASGs) and CI/CD then you’re the right candidate. A Day in the Life You’ll get to work with a tech stack that includes Azure Core Services, Azure App service, Kubernetes, API Management Gateway, Azure Functions, Docker, Linux, Windows, PostgreSQL, MS SQL Server, PowerShell, Python, GitHub, JIRA & Confluence Build and manage infrastructure using automation tools such as Terraform Provide day-to-day operational support of our applications on Azure Work closely with development teams to integrate their projects into the production and test Azure environments and ensure their ongoing support Be a DevOps champion working closely with other internal teams to lead efforts on security, reliability, and scalability into the development lifecycle Provide input on design and Azure-related considerations / options Gain functional knowledge of the applications you support Dive deep into the product stack to troubleshoot as needed Build engineering automation and productivity tools to streamline and scale applications in the production environment Troubleshoot and resolve application development, deployments and operations issues Architect and implement reliable infrastructure services on Azure, from the ground up, to deliver highly scalable services Serve in an on-call rotation as an escalation contact for critical production issues Role Progression Within 1 month, you'll: Learn about our business, our Azure environment, and how we work. You will be working hands-on with our technology and getting to know your teammates. Within 3 months, you’ll: Work with our development teams to stand up our technology stack and looking for opportunities to make improvements. You will have several technologies or products that you are becoming responsible for. You will help diagnose and resolve operational issues in our systems. Within 6 months, you’ll: Be looking to the future across our technologies and crafting the strategic roadmap when it comes to architecture, operations, and capabilities. You will continue to develop your Azure toolbelt with relative technology certifications and education and to inform the development of team members. About you You hold a BS in Computer Science, Software Engineering or equivalent, or a Bachelor’s in an unrelated field with at least 5 years of professional experience You have 5+ years of experience in DevOps with 3+ years using Azure core services (Azure Virtual Machines, Azure Virtual Network, Azure Load Balancer, Azure Blob Storage, Azure Bicep/ARM templates, Azure SQL Database, Azure App Service, Azure API Management, etc.) Experience installing, configuring, and managing database platforms and Azure-managed database services, including Azure SQL Database, Azure Database for PostgreSQL, Microsoft SQL Server, and MongoDB Atlas Demonstrated expertise in using configuration management tools such as Terraform, Azure Bicep and Azure Resource Manager (ARM) templates You have a strong understanding of Azure billing and cost modelling Experience with build & release automation tools and methodologies. Experience with TeamCity is a plus Ability to design, deploy, monitor and manage Kubernetes based systems You are familiar with the concepts of microservice architecture and how those concepts are implemented in Azure You champion Infrastructure as Code mentality and can take the lead in transformation from manual “hands-on” in Azure to Infrastructure as Code You have very strong scripting and automation skills – you believe you can automate just about everything You know how to use AI tools to vet ideas, validate work, and help automate tasks You strive to learn new technologies and look for ways to stay up to date in this rapidly changing industry Hands-on experience with troubleshooting, securing, and improving manually configured Azure environments Experience with Application Performance Monitoring (APM) and log aggregation at scale. Experience supporting application development teams who work in an iterative-based development environment using Agile/Scrum/Kanban You have an appreciation for pragmatism and simplicity in systems architecture Background in working with multi-cloud operations between AWS and Azure preferred Current and relevant Azure cloud certifications preferred Successful candidates will be required to complete and pass a CLEAR™ identity verification as part of the pre-employment screening process. CLEAR™ Candidate FAQ CLEAR™ Candidate FAQ The annual base salary range for this exempt position is $140,000–$155,000 and reflects the midpoint through maximum of the established range for this role . Encoura establishes compensation using national market data, internal equity considerations, and organizational budget factors to ensure fairness and consistency across the organization. Certain roles may also be eligible for variable compensation in addition to base salary. Employees in this role are eligible for Encoura’s comprehensive benefits package, which includes health insurance, retirement contributions, paid time off, and other programs that support employee well‑being. About  Us Encoura’s mission is to empower students and institutions to create meaningful connections so everyone can make the most informed decisions to achieve their goals. Since 1972, the Company has evolved its products and services to better represent the link between students and higher education institutions and to create the highest probability of student success. Encoura’s expertise now spans enrollment, research, marketing, student success, and advancement and provides an unmatched combination of higher education experience and innovative solutions for colleges and universities. The Company also offers Encourage® — the nation’s largest free college and career planning program used by millions of high school students and educators nationwide. It is the policy of the Company to provide equal employment opportunities to all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information. All applicants must be eligible to work in the U.S. Encoura endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require reasonable accommodation to complete any part of the application process or are limited in the ability and need an alternative method for applying, please contact the Talent Team. Applicants from California, please review the CA HR Privacy Notice . To review our privacy policy, please click this link: https://encoura.org/privacy-policy/

Location: Dallas, TX Vectra® is the leader in AI-driven threat detection and response for hybrid and multi-cloud enterprises. The Vectra AI Platform delivers integrated signal across public cloud, SaaS, identity, and data center networks in a single platform. Powered by patented Attack Signal Intelligence, it empowers security teams to rapidly prioritize, investigate and respond to the most advanced cyber-attacks. With 35 patents in AI-driven threat detection and the most vendor references in MITRE D3FEND, organizations worldwide rely on the Vectra AI to move at the speed and scale of hybrid attackers. For more information, visit www.vectra.ai. Position Overview Regional Sales Manager - Texas Vectra® is the leader in AI-driven threat detection and response for hybrid and multi-cloud enterprises. The Vectra AI Platform delivers integrated signal across public cloud, SaaS, identity, and data center networks in a single platform. Powered by patented Attack Signal Intelligence, it empowers security teams to rapidly prioritize, investigate and respond to the most advanced cyber-attacks. With 35 patents in AI-driven threat detection and the most vendor references in MITRE D3FEND, organizations worldwide rely on the Vectra AI to move at the speed and scale of hybrid attackers. For more information, visit www.vectra.ai. About Vectra.ai Vectra.ai delivers a new class of advanced threat defense that provides real-time detection and analysis of active network intrusions. We continuously analyze internal and internet-facing network traffic to automatically detect and correlate attacker behaviors, prioritize risk, and help customers respond faster as attacks evolve. The Opportunity We’re continuing to build a high‑performing enterprise sales organization and are hiring an experienced Regional Sales Manager (RSM) to drive strategic growth across enterprise accounts. This role is ideal for a relationship‑driven seller with a proven cybersecurity track record and strong executive‑level engagement skills. You’ll collaborate closely with Sales Engineering and Channel teams to land new customers and expand within existing enterprise accounts. What You’ll Do Own and drive growth across a defined set of enterprise accounts. Develop and execute territory and account plans including whitespace analysis, multi‑threading, and executive alignment. Lead business‑outcome‑focused conversations with senior non-technical executives (C‑suite, SVP/VP), leveraging Sales Engineering for technical depth. Manage complex sales cycles ($200K–$1M+), including multi‑stakeholder alignment, evaluations/POCs, and negotiation to close. Partner with channel organizations (resellers/SIs) to extend reach, build pipeline, and accelerate deals. Maintain accurate forecasting and CRM hygiene in Salesforce. Collaborate cross‑functionally with Marketing, Sales Engineering, Customer Success, and Product teams. Represent Vectra with professionalism, urgency, and integrity in a fast‑paced environment. What You’ll Bring 10+ years of enterprise field sales experience, primarily in cybersecurity, with consistent quota attainment. Demonstrated success managing large enterprise customers with strong, activatable executive relationships. Proven track record closing complex, multi‑threaded deals at $200K–$1M+ ACV. Business‑value‑driven selling approach; comfortable leading executive conversations and relying on SEs for technical validation. Strong channel motion experience: co‑selling with VARs/SIs and coordinating partner activities. Evidence of stability and progression in previous roles, with true quota‑carrying ownership. Experience from leading cybersecurity vendors is highly valued. Our competitive total rewards package includes cash compensation within the range provided below Actual pay for this position may vary based on the hired candidate’s location, experience and relevant incumbent pay position. Vectra Total Rewards $235,000 — $325,000 USD Vectra provides a comprehensive total rewards package that supports the financial, physical, mental and overall health of our employees and their families. Compensation includes competitive base pay, incentive pla n eligibility, and participation in the employee equity plan (stock options). Specific benefits offered var ies by location, but commonly in clude health care insurance , income protection / life insurance , access to retirement savings plans, behavioral & emotional wellness services , generous time away from work, and a comprehensive employee recognition program. Vectra is committed to creating a diverse environment and is proud to be an equal opportunity employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

Location: San Francisco, California; New York, New York Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE: As one of Notion’s founding Demo Engineers, you’ll build the global demo engine behind how we bring Notion’s most important customer stories to life. You’ll shape the standards, systems, and experiences that help our Sales teams demonstrate what is possible with Notion, from the first customer conversation through implementation and deployment. This is a high-impact opportunity to create the function from the ground up. You’ll establish global standards, turn our strongest customer solutions into repeatable demos, and give regional teams the tools and autonomy to innovate. Your work will directly influence how customers understand Notion’s platform, AI capabilities, and potential to transform how their organizations work. This role reports to the Global Head of Acquisition and partners closely with Sales, Forward Deployed Engineering (FDE), Enablement, and PMM.   This role can be based in either San Francisco or New York City. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. WHAT YOU'LL ACHIEVE: - Build the global demo engine that brings Notion’s most important customer stories to life - Partner with Enablement and PMM to define the core narratives, scripts, environments, and assets for each demo - Create a durable release and versioning process so demos stay current as the product evolves - Automate repeatable setup and maintenance wherever possible so the system can scale globally - Turn Notion’s strongest customer and internal solutions into reusable GTM assets - Identify high-impact use cases and transform them into repeatable, field-ready demos - Partner with FDE to package customer solutions, implementation guidance, and technical patterns into demos the field can confidently deliver - Work with GTM Systems to translate demos into workspaces that can be deployed in customer environments - Set the global standard for demo quality and help the field deliver it - Define what great looks like for each demo moment, from the first customer conversation to a tailored technical experience - Train and coach customer-facing teams on storytelling, environment setup, delivery, and troubleshooting - Partner with Enablement to create practical resources and programs that raise demo quality across regions - Create a clear path from experimentation to global scale - Give customer-facing teams a structured way to safely build, test, and pilot new demo concepts - Evaluate the strongest ideas and turn them into scalable standards, templates, and reusable assets - Serve as the strategic demo partner for high-impact opportunities - Advise teams on custom or personalized demos that fall outside the standard portfolio - Help teams balance customer relevance, technical credibility, and speed without compromising quality SKILLS YOU'LL NEED TO BRING: - 5+ years in a technical or customer-facing role such as Solutions Engineering, Sales Engineering, Demo Engineering, Solutions Architecture, or Software Engineering - Experience designing and delivering technical demos, prototypes, or solution experiences for a SaaS product - Strong systems thinking, with experience building scalable standards, templates, documentation, versioning practices, and operating processes - Ability to translate complex product capabilities into clear, compelling customer stories tied to business value - Technical fluency across APIs, integrations, automation, data, permissions, and enterprise security concepts - Working proficiency with scripting or automation tools such as Python or JavaScript - Experience partnering across Sales, Product, Engineering, Enablement, and Marketing to drive alignment and deliver shared outcomes - Strong communication and coaching skills, with the ability to raise the capabilities of customer-facing teams - Comfort creating structure, setting priorities, and making progress in a fast-moving environment with evolving requirements NICE TO HAVES: - Experience building or scaling a demo engineering, solutions engineering, or technical enablement function - Experience with enterprise sales cycles and complex, multi-stakeholder customer environments - Hands-on experience with demo automation platforms such as Consensus, Navattic, Reprise, Storylane, or Demostack - Experience supporting major product launches or global go-to-market programs - Familiarity with AI coding tools such as Claude Code, Codex, or Cursor - Experience with productivity, collaboration, AI, or horizontal SaaS products - Notion power user TOOLS YOU'LL USE: - Demo environments: Notion, plus demo automation platforms as needed - Collaboration: Slack, Salesforce, Gong for call review - Automation: Zapier, scripting tools, API clients (Postman or similar) - AI Coding Tools: Claude Code, Codex, Cursor Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated range for total on target earnings (including base salary and on target incentive pay) for this role is $220,000 - $250,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550?pvs=74 and NYLL 144 https://notion.notion.site/Ashby-AI-Bias-Audit-2b0efdeead05803bbbfae159ec86c528. #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: Remote, Global ABOUT SUPABASE Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. ABOUT THE ROLE We are seeking a Platform Software Engineer with deep experience in distributed systems to help design, build, and maintain core platform services. You will work primarily in TypeScript and Go to deliver reliable, scalable, and secure systems that power Supabase at massive scale. WHAT YOU'LL BE DOING: - Design and implement distributed services and APIs that power the Supabase Platform. - Lead projects that improve scalability, reliability, and cost efficiency across existing systems. - Build data-intensive workflows, background jobs, and event-driven pipelines. - Own service SLIs/SLOs and collaborate on incident response and post-incident reviews. - Improve system observability with metrics, logging, tracing, and profiling. - Contribute to our CI/CD and release processes to ship safely and quickly. - Partner with product teams to deliver features end-to-end, from design docs to production. - Write clear design documents, RFCs, and high-quality tests. WHAT WE'RE LOOKING FOR: - Experienced in designing and operating distributed systems, with strong foundations in consistency, fault tolerance, partitioning, consensus, and back pressure. - Proficient in TypeScript and/or Go, ideally with 5+ years building production services in one or both languages (other languages also considered). - Comfortable with cloud infrastructure (AWS preferred) and container orchestration. - Familiar with multi-tenant architectures, API design, and data modelling. - Knowledgeable about networking fundamentals and security best practices. - Experienced with Infrastructure as Code (Pulumi preferred; Terraform/CDK also fine). - Comfortable participating in on-call rotations for large-scale production systems. NICE TO HAVE: - Experience with Postgres internals, logical replication, or CDC pipelines. - Experience with service meshes, workload identity, or zero-trust networking. - Background in performance engineering and capacity planning. - Open source contributions in systems, databases, or runtime tooling. WHAT WE OFFER - Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. - ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. - Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. - Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. - Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. - Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. - Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. ABOUT THE TEAM Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. - ~400 team members - 60+ countries - 20+ languages spoken - Over $1B raised (including our $500M Series F) - 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

Location: Paterson,New Jersey 07514 Meaningful work, close to home. LBAPS is hiring Behavior Technicians to work 1:1 with children receiving ABA therapy at home, in school and in the community. We have several openings in the Paterson area right now. What you will do Lead 1:1 ABA sessions using a plan written by a BCBA Track progress and celebrate every win Partner with families and your supervising BCBA What you bring RBT certification, or the drive to earn it (BT applicants welcome) Experience with children: classroom, camp, childcare and tutoring all count A dependable way to get to sessions in the Paterson area Patience, energy and reliability Why LBAPS Cases close to where you live Ongoing BCBA supervision and support Part-time and after-school hours Apply today. Interviews are held on Zoom.

Location: ES - Barcelona, Spain Scopely is looking for an IT Support Technician II to join our IT/Ops team in Barcelona on a on-site basis, working 5 days a week from the hub. At Scopely, we care deeply about what we do and want to inspire play, every day - whether in our work environments alongside our talented colleagues, or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily. The IT/Ops team keeps everything behind the scenes running smoothly and we make sure all teams are equipped and connected - whether across the office or halfway around the world. AV struggles? Don’t worry, we’ve got this. What You Will Do Run diagnostics, assess impact, and prioritize support requests, owning them through resolution with timely, empathetic communication Troubleshoot ¡ workstation, connectivity, identity, and workplace-technology issues across macOS, Windows, iOS, and Android Act as a subject-matter expert maintaining operational ownership, technical knowledge, and clear escalation paths Employee onboarding, offboarding, device lifecycle, and access processes Prioritize tasks based on impact and urgency Administer and improve support processes, identifying opportunities to streamline, automate, and enable self-service Understanding of industry-standard security best practices with a specific focus on data integrity and malware protection for workstations Produce high-quality technical documentation, runbooks, standards, and knowledge-base content Research and recommend innovative, automated approaches for system administration tasks that scale with the company's growth Use AI responsibly to improve support while maintaining human oversight Support our AV/VC platform (Zoom) What We’re Looking For At least 5 years of related IT support or service desk experience Experience with macOS, Windows, iOS, Android, peripherals, business applications, and workplace technology Working knowledge of Google Workspace, Microsoft 365, Okta, JumpCloud, Zoom, endpoint management, and identity/access controls Hands-on experience with Jira Service Management or a comparable platform. Experience with scripting and delivering process improvements or automation. Strong English language skills are required for this role as we have a highly diverse and global business Should have excellent interpersonal and communication skills and the ability to deal with users at all organizational levels Decision making, time management, planning, communication, and end user service skills Bonus Points Experience with Jamf Pro, Meraki, NinjaOne/NinjaRMM, or similar platforms Experience building prototypes, test cases, or small automation solutions Relevant IT service management, cloud, endpoint, or security certification Please submit your CV in English. At Scopely, we create games for everyone - and want to ensure that the people behind our games reflect that!   We are committed to creating a diverse, supportive work environment where everyone is treated with respect. We are committed to providing equal employment opportunities and welcome individuals from all backgrounds to join us & embrace the adventure! This role will have access to sensitive and/or confidential employee or customer personally identifiable information (PII) and/or Company financial information, and therefore will be subject to background checks upon receiving a conditional offer of employment. About Scopely Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play. Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come. Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play. Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/ . Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @ scopely.com . Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice . Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Hiring Locations: Austin, US, San Francisco, CA, Seattle, WA, Washington DC, US About the Department The Infrastructure Engineering team builds and scales Cloudflare’s global network, ensuring high availability, security, and performance across hundreds of cities worldwide. Within Infrastructure Operations, the Hardware Integration group acts as the bridge between engineering designs and physical deployment, overseeing key third-party manufacturing partnerships, hardware quality, and supply chain logistics to keep our expanding footprint running seamlessly. Role Summary As a Rack Integration Operations Engineer , you will serve as a technical quality gatekeeper and operational partner across Cloudflare's hardware build programs. Working collaboratively within the Infrastructure Engineering and Strategy teams, you will bridge the gap between engineering specifications and external contract manufacturing partners. In this role, you will ensure Bill of Materials (BOM) accuracy, optimize materials planning, track partner performance, and actively modernise internal operations by building light, AI-enabled automations to streamline repetitive workflows. Key Responsibilities Engineering & Quality Review Ensure BOM Accuracy: Review and validate complex BOMs prior to release to integration partners, proactively identifying part substitutions, spec mismatches, and potential build blockers. Bridge Engineering & Production: Partner closely with hardware design engineers to resolve design change requests (DCRs) and BOM discrepancies throughout the build lifecycle. Maintain Technical Quality Standards: Leverage functional expertise across rack-level power, networking, server, and firmware architectures to evaluate build compliance against Cloudflare specifications. Materials & Logistics Operations Support Materials Planning: Contribute to demand forecasting and materials planning for rack build programs, aligning partner capacity with component lead times. Coordinate Supply Chain Logistics: Oversee inbound and outbound logistics for components and finished racks between partners and Cloudflare sites through to final shipment. Partner & Program Management Drive Partner Execution: Serve as an operational point of contact for external hardware integration partners regarding build progress, scheduling, and issue resolution. Track SLAs & Quality Metrics: Contribute to vendor scorecards and KPI tracking across build quality, on-time delivery, and cost efficiency; lead root-cause analyses for recurring defects. Maintain Program Visibility: Track hardware build cycles in Jira, leading documentation, status check-ins, and project closeouts alongside cross-functional teammates. AI Innovation & Process Automation Automate Operational Workflows: Identify manual, repetitive tasks across BOM reviews, reporting, and partner tracking, using AI tools and LLM prompt engineering to streamline processes. Analyze Performance Data: Evaluate spend, build timelines, and quality trends using AI-assisted analysis tools to surface actionable operational insights. Build Shared Tooling: Develop, document, and maintain sustainable, lightweight automation scripts and workflows for adoption across the broader team. Qualifications Requirements Vendor & Manufacturing Experience: Professional background managing hardware vendor or contract manufacturing (EMS/ODM) relationships, including BOM validation, quality tracking, and schedule management. Hardware & BOM Proficiency: Practical ability to evaluate rack-level technical specifications (power distribution, networking, server hardware, firmware) to ensure manufacturing compliance. Program Management Discipline: Hands-on experience managing operational workflows in Jira, with a track record of tracking and reporting on team KPIs and SLAs. Applied AI & Automation Skills: Practical experience using AI tools or LLMs to automate concrete workflows, optimize reporting, or perform data analysis. Cross-Functional Collaboration: Strong written and verbal communication skills, with a track record of working effectively across engineering, procurement, supply chain, and external partner teams. Desirable / Bonus Qualifications Background in data center infrastructure hardware (servers, network switches, rPDUs, enterprise cabling). Experience writing lightweight scripts (Python, Google Apps Script, or similar) paired with AI developer tools. Familiarity with global hardware supply chain and logistics operations. Experience with Oracle ERP Cloud (e.g., SCM, Procurement, Inventory Management) or comparable ERP platforms such as SAP or NetSuite, particularly for BOM management, purchase orders, and materials tracking. Compensation Compensation may be adjusted depending on work location. For Bay Area based hires: Estimated annual salary of $110,000 - $151,000 For New York, Washington DC, Seattle based hires: Estimated annual salary of $104,000 - $143,000 For Austin Texas based hires: Estimated annual salary of $116,000 - $128,000 What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. Job Description As a Data Engineer, you will be a member of the Data Science & Analytics team building the foundation to scale analytics across our organization. You will collaborate with key stakeholders in Engineering, Product, and other areas to build scalable solutions to transform data into key metrics reporting and insights. You will be responsible for ensuring teams have access to reliable, accurate metrics for consumer products from idea to implementation. You will also lead your own projects to enable self-serve insights to help teams make data-driven decisions. Responsibilities : Understand and whenever possible proactively identify the data needs of stakeholder teams in terms of key data models and reporting, and translate that into technical requirements Define, build and manage key data pipelines in dbt that transform raw logs into canonical datasets Establish high data integrity standards and SLAs to ensure timely, accurate delivery of data Develop insightful and reliable dashboards to track performance of core metrics that will deliver insights to the whole company Build foundational data products, dashboards and tools to enable self-serve analytics to scale across the company Closely partner with stakeholders to define and materialize metrics and analysis for new and evolving consumer products in a fast paced environment Influence the future roadmap of Product teams from a data systems perspective Become an expert in our organization’s data models and the company's data architecture You might be a good fit if you have: 7+ years of experience as an Data Engineer or similar Data Science & Analytics roles, preferably partnering with Product leads to build and report on key company-wide metrics. A passion for the company's mission of building helpful, honest, and harmless AI. Expertise in building multi-step ETL jobs through tooling like dbt; proficiency with workflow management platforms like Airflow and version control management tools through GitHub. Expertise in SQL and Python to transform data into accurate, clean data models Experience building data reporting and dashboarding in visualization tools like Hex to serve multiple cross-functional teams. A bias for action and urgency, not letting perfect be the enemy of the effective. A “full-stack mindset”, not hesitating to do what it takes to solve a problem end-to-end, even if it requires going outside the original job description. Experience building a Data Engineering (or similar) function at start-ups. A strong disposition to thrive in ambiguity, taking initiative to create clarity and forward progress. Experience scaling own productivity and that of others by leveraging AI without sacrificing the quality of deliverables. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.