Location: Remote-Friendly, United States
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic is building its own servers, racks, and accelerator systems with contract manufacturers and ODM partners, and deploying them across our fleet of data centers. We are seeking experienced engineers to own how well that hardware gets built.
As a Product Engineer on the Manufacturing Operations team, you are the technical owner of a product at the factory. During development, you gather manufacturing, test, and yield concerns, get them fixed in the design before each build, and sign off that the product is ready to move to the next stage. Once a product is in mass production, you keep it healthy by delivering engineering changes with minimal disruption, qualifying new components and second-source manufacturers, and root-causing yield and field failures.
This is a hands-on role with up to 50% travel to partner factories in the US and abroad. You should be as comfortable debugging a test failure on the line as you are presenting a corrective action plan to leadership.
Representative projects
Take a new accelerator rack from early evaluation to mass production at an ODM: audit the assembly and test process, set yield targets, confirm test coverage, and approve the transition.
Scale manufacturing from one line to multiple and then to a second site or second manufacturer without yield or throughput regressions.
Run a cross-functional root cause on field failures traced to a manufacturing gap, drive corrective action with the ODM/CM, and close the loop with the design itself when required.
Lead an engineering change across manufacturers: BOM and PLM updates, cut-in planning, partner training, validation, and monitor field failures/RMA.
Bring manufacturing requirements and validation data into each development phase review so the engineering team has a single prioritized list of what to fix before the next build.
You may be a good fit if you
Have carried a hardware product from early builds through mass production at a contract manufacturer or ODM.
Have set up or improved assembly and test processes at a manufacturing partner and drove yield, quality, and schedule commitments.
Use structured manufacturing and root-cause methods (DFM, FMEA, SPC, 8D or similar) as a matter of habit, and are an expert at translating messy failure data into clear decisions.
Can write a product-specific test plan and judge whether test coverage is sufficient.
Communicate clearly with partner engineers and operations staff on the floor as well as with leadership in a readout.
Are willing to travel to partner sites up to 50% of the time.
Have a degree in Electrical, Mechanical, Industrial, or Materials Engineering, or equivalent practical experience.
Strong candidates may also
Have been the technical lead for a data center hardware program such as: server, storage, switch, rack, or accelerator.
Have stood up a new manufacturing line or site, or brought up a second CM for an existing product.
Have experience with liquid-cooled or high-power-density rack systems.
Possess a Master's degree in a relevant engineering discipline.
Have worked closely with sourcing and supply chain teams on component qualification and multi-sourcing strategies.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$405,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Remote-Friendly (Travel Required) | San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic's Data Center Operations (DCO) team ensures compute fleet availability through hardware and IT operations. At our partner-operated sites, this role manages the interface between Anthropic and the strategic site operations partner performing day-to-day data hall work.
As the site lead, you own site outcomes for your assigned sites including: deployment velocity, availability, and incident response. Rather than managing operations staff directly, you provide tactical direction, set priorities, and define the standards for the vendor's on-site teams, paired with performance oversight and ongoing operational assessment to ensure all operational commitments are met.
You will define the operational processes, quality gates, and governance rhythms for partner-operated sites. Expect to build the playbook as much as you run it, not just at a site level, but defining and developing program improvements fleet-wide.
What you’ll own
Operational outcomes.
Own site availability, deployment milestones, and repair turnaround, verified with independent data rather than vendor self-reporting.
Vendor direction.
Set daily and weekly priorities and lead the operating cadence, including standups and business reviews.
Process definition.
Author and improve procedures for deployment, break-fix, change management, security, and EHS compliance. Analyze operational trends and standardize lessons across the program.
Performance management.
Track vendor performance against SLAs and staffing commitments, driving corrective actions when necessary.
Incident response and on-call.
Participate in the incident escalation on-call rotation. When designated Anthropic Incident Commander for a site-specific incident, direct vendor response, own communications, and close out post-incident actions.
Internal interface.
Translate engineering requirements into vendor direction and communicate site constraints and risks to leadership.
Representative work
Leading weekly operations reviews and scorecards with vendor site leads.
Directing deployment surges to meet first-compute-online milestones.
Analyzing failure patterns to identify root causes and driving fixes with owners.
Creating break-fix ownership matrices and training vendor teams.
Serving as Incident Commander for facility events and producing post-mortems.
Establishing operational readiness for new data halls, including spares and security.
Identifying process gaps and codifying improvements as program standards.
You may be a good fit if you
Have 8+ years of experience in data center operations (hardware, IT infrastructure, or critical facilities) as a manager, technical lead or related role, including accountability for production availability.
Have managed vendors, MSPs, or contract workforces to measurable outcomes: SOWs, SLAs, operational reviews, and corrective action.
Carry hands-on technical depth in server, network, and rack-level infrastructure, enough to independently verify vendor claims and audit quality.
Have built or substantially improved operational processes, not just run them.
Have served in an incident command or lead-responder role and communicate clearly under ambiguity.
Can support non-standard hours, including an on-call rotation and availability during deployment surges and maintenance windows.
Bachelor's degree in relevant domain or equivalent practical experience.
Strong candidates may also have
Experience with third-party colocation providers or partner-operated sites, delivering IT operations outcomes inside a facility someone else runs.
Experience standing up operations at a new site or data hall, from commissioning handoff through first deployment.
Experience with GPU/accelerator or high-density liquid-cooled infrastructure.
Familiarity with multi-vendor sites where facilities and IT operations are performed by different partners.
Experience leading projects from initiation to completion across teams you didn't own.
Background in incident management frameworks, contract/SLA design, or EHS programs.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$405,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Задачи:
— Поддержка и сопровождение систем выхода на рынок, включая HubSpot, Vitally и другие операционные платформы.
— Создание, поддержка и устранение неполадок в рабочих процессах, автоматизациях, этапах жизненного цикла, правилах маршрутизации и операционных процессах.
— Расследование и решение проблем систем, сбоев рабочих процессов, несоответствий данных и операционных запросов от внутренних команд.
— Взаимодействие с отделами продаж, клиентского успеха, маркетинга, финансов и продукта для улучшения бизнес-процессов и операционной эффективности.
— Создание и поддержка панелей мониторинга и отчетности для отображения информации о воронке продаж, состоянии клиентов, продлениях, прогнозах и других ключевых бизнес-метриках.
— Поддержка интеграций и потоков данных между CRM, биллингом, продуктом, аналитикой и системами поддержки клиентов.
— Очистка данных, улучшение качества CRM и поддержание точности данных в бизнес-системах.
— Документирование процессов, руководств по устранению неполадок и операционных инструкций для повышения масштабируемости и возможности самостоятельного решения проблем.
— Выявление возможностей для автоматизации повторяющейся работы с использованием рабочих процессов, AI-инструментов и других операционных технологий.
— Помощь в межфункциональных операционных проектах, направленных на улучшение совместной работы команд и масштабирование процессов.
Требования:
— Опыт работы 3+ года в поддержке бизнес-систем, операциях, revenue operations, customer operations или аналогичной функции.
— Опыт работы с CRM-платформами, такими как HubSpot, Salesforce или аналогичными.
— Опыт создания или поддержки рабочих процессов, автоматизаций, отчетности и операционных процессов.
— Сильные аналитические и проблемно-ориентированные навыки с умением устранять неполадки в нескольких системах.
— Понимание качества данных и потоков информации между бизнес-приложениями.
— Хорошие организационные навыки и способность управлять несколькими приоритетами в быстро меняющейся среде.
— Отличные коммуникативные навыки и умение эффективно работать с техническими и нетехническими заинтересованными сторонами.
— Настрой на постоянное улучшение и интерес к изучению новых инструментов и технологий.
Преимущества:
— Опыт работы с Vitally или аналогичными платформами Customer Success.
— Опыт работы с инструментами автоматизации рабочих процессов, такими как Zapier, Make, n8n, Workato или аналогичными.
— Знакомство с API, интеграциями или low-code автоматизацией.
— Опыт использования AI-инструментов, таких как ChatGPT, Claude, GitHub Copilot или инструменты с поддержкой MCP для улучшения рабочих процессов или продуктивности.
— Опыт работы с инструментами отчетности, такими как Looker, Sigma, Tableau или Power BI.
— Базовые знания SQL.
— Опыт поддержки SaaS-организаций, выходящих на рынок.
Процесс собеседования:
— Введение: 30-минутное обсуждение с менеджером по найму.
— Глубокое погружение: 60-минутная техническая оценка в реальном времени.
— Цикл: серия 45-минутных бесед с командой (максимум 3 часа), где оценивается "что, почему и как" вашей лучшей работы.
Location: Megalopoli, Arcadia,
About the company:
KIEFER is building Greece's integrated AI ecosystem. From renewable energy infrastructure and AI systems to robotics and enterprise applications, we connect the technologies that power Europe's intelligent future. Founded in 2014, KIEFER has delivered 600MW+ of energy projects and is now developing sovereign AI infrastructure, enterprise AI products and physical AI systems for Greece and Southeast Europe.
About the Role:
We are seeking a seasoned Mechanical or Electrical Engineer to lead the operations of our new data center. As the Data Center Operations Manager, you will be responsible for the complete physical infrastructure of the facility, ensuring 24/7 uptime, safety, and efficiency.
This is a hands-on leadership role for an engineer who thrives in mission-critical environments. You will be the ultimate owner of the site's mechanical, cooling, and electrical systems, leading a team of on-site technicians and defining the operational standards that will ensure our success.
What you will do:
- Take full ownership of the data center's physical infrastructure, including all mechanical, electrical, and cooling systems.
- Lead and coordinate a team of on-site technicians, managing 24/7 shift operations and ensuring a culture of safety and precision.
- Develop and implement operational procedures, maintenance plans, and incident response protocols (MOPs, SOPs, EOPs).
- Oversee the performance and capacity of all critical systems, using data to make informed decisions and prevent downtime.
- Serve as the lead incident commander during facility emergencies, guiding the team to a swift and effective resolution.
- Manage relationships with vendors, contractors, and local utilities.
What you will need:
- A degree in Mechanical Engineering or Electrical Engineering.
- 7+ years of hands-on experience in a mission-critical operational environment such as a power plant, industrial facility, marine vessel (engine room), or large-scale manufacturing.
- Deep expertise in either industrial cooling systems (chillers, pumps, piping) OR high-availability electrical distribution (UPS, generators, switchgear).
- A proven track record of leading technical teams and managing 24/7 operations.
- Strong problem-solving skills and the ability to remain calm and effective under pressure.
- Fluency in Greek and English (professional proficiency preferred but not mandatory).
What is there for you
- A unique opportunity to transition your engineering skills into the high-growth AI infrastructure industry.
- The chance to build and lead operations for a new, state-of-the-art facility from day one.
- A stable, long-term leadership position based in Megalopoli.
- A competitive compensation package and the opportunity for significant career growth.
Location: United States
Workplace: Remote
ABOUT DOCKER
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
_______________________________________________________________________
At Docker, we simplify the lives of developers making world-changing apps. Docker helps developers bring their ideas to reality by conquering the complexity of app development. We simplify and accelerate workflows with an integrated development pipeline and application components. Actively used by millions of developers worldwide, Docker Desktop and Docker Hub provide unmatched simplicity, agility, and choice. Docker is a fast-growing startup that offers a dynamic work environment with opportunities to grow your career.
About the role:
We are seeking a Senior Manager, Sales Operations to join our Revenue Operations team in a critical leadership capacity. This is a player-coach role designed for a deeply technical Sales Ops expert who thrives on both strategic execution and people development. You will serve as the ultimate go-to subject matter expert for all things Sales Ops infrastructure, including architecting our territory design, segmentation models, quota models and annual planning frameworks, while simultaneously leading and scaling a high-performing team.
Initially managing a team of two, with further headcount planned as Docker grows, you will balance executive partnership with technical execution. You will run the strategic vision, coach your team to execute flawlessly, and step into the trenches yourself to solve our most complex operational challenges.
An ideal candidate brings deep Sales Operations experience in a high-growth SaaS environment, strong command of our core tooling, and a track record of leading transformational operational change. This role reports to the Senior Director of Sales Operations.
RESPONSIBILITIES
Sales Ops Architecture & Planning Execution
- Drive the end-to-end execution of core Sales Operations, translating the overarching GTM strategy into tactical territory designs and segmentation models
- Architect and build the operational models for annual and quarterly planning cycles, including territory routing (ETM), segmentation updates, and quota allocation
- Own the management, administration, and execution of quota frameworks, and assist with compensation plan design for the direct sales & GTM organization
- Take full ownership of complex operational initiatives, managing the lifecycle from scoping and business requirements through to deployment and post-launch optimization
- Own and update the Sales Rules of Engagement and account engagement models to ensure seamless, frictionless deal flow and pipeline integrity
- Own key tools within the Sales technology stack, managing vendor relationships, budgets, and roadmaps
Operational Collaboration & Tech Optimization
- Serve as the trusted daily operational partner to senior Sales leaders, proactively identifying areas for improvement and executing process enhancements
- Collaborate closely with the Senior Director of Sales Operations and GTM ops leaders (CS, SE, Channel, Renewals) to ensure Sales Ops execution aligns seamlessly with the broader revenue ecosystem
- Maximize the efficiency and roadmap of the core sales technology stack (Salesforce, Clari, Outreach, etc.) to optimize the sales cadence
- Partner with Business Systems to design, test, and deploy scalable tech solutions
Team Leadership
- Directly manage, mentor, and develop a team of Sales Operations professionals (initially 2 direct reports)
- Establish team operating cadences, manage workload capacity, and instill a culture of high ownership, precision, and operational excellence
- Coach your team on advanced problem-solving, data integrity, and stakeholder communication, acting as a force multiplier for their career growth
QUALIFICATIONS:
- 6+ years of experience in Sales Operations, ideally within a high-growth SaaS or software company
- 2+ years of people management or team leadership experience, with a demonstrated track record of coaching and developing team members
- Hands-on experience of core Sales Ops planning, specifically territory routing, Enterprise Territory Management (ETM), segmentation modeling, and quota allocation
- Proven project management skills, with experience owning complex operational initiatives across their entire lifecycle (from business requirements to post-launch optimization)
- Technical expertise with core sales technology infrastructure, including Salesforce, Clari, Outreach, and LinkedIn Sales Navigator
- Strong analytical and financial acumen required to manage vendor budgets, software roadmaps, and data modeling tasks
- Exceptional communication and stakeholder management skills, with the confidence to advise senior sales leadership and collaborate with cross-functional GTM operations peers
- Highly organized with an eye for data integrity, process precision, and documentation
WHAT TO EXPECT
First 30 days:
- Immerse yourself in Docker’s direct sales motion, existing territory models, current sales technology stack and existing Sales Ops processes
- Assume direct management of your team, establishing regular 1-on-1 cadences to understand their current workloads, skills, and professional development goals
- Build strong baseline relationships with your core sales leadership partners, and GTM ops leaders (CS, SE, Channel, Renewals)
- Review current processes, systems, and metrics to form an independent point of view on highest-impact opportunities
FIRST 60 DAYS:
- Establish your position as the go-to expert for sales leadership regarding tactical operational questions, territory updates, and cadence execution
- Take full ownership of the sales tech stack, including active vendor relationships, roadmaps, and budget lines
- Optimize team capacity by refining operating cadences and shifting immediate execution workloads to your team, stepping in to coach them through complex roadblocks
- Partner with Business Systems to get involved in open projects
FIRST 90 DAYS:
- Drive the preparation and operational execution for the upcoming quarterly or annual sales planning cycles (territories, quotas, segmentation)
- Achieve full oversight of the Sales Ops team's output, ensuring high-quality, precise delivery across all direct sales workstreams
- Be recognized across Docker as both an indispensable technical anchor for Sales Operations and an impactful manager developing the next generation of operational talent
Docker does not offer visa sponsorship for this role.
Compensation & Equity
United States: $128.1K – $200K + equity
______________________________________________________________________
POSTING INFORMATION
- Open vacancy: This posting is for an existing open role.
- AI in hiring: Docker may use AI-assisted tools during our recruiting process.
- Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent.
______________________________________________________________________
PERKS & BENEFITS
- Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration.
- Flexibility that fits your life – We trust you to manage your schedule while delivering great work.
- Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break.
- Home office support – Set up your workspace for comfort and success.
- Technology stipend – Equivalent to US$100 net per month to help support your work.
- Learning & development – Annual stipend for conferences, courses, certifications, and continued learning.
- Parental leave – 16 weeks of paid parental leave after six months of employment.
- Equity for all full-time employees – Share in Docker's long-term success as we continue to grow.
- Comprehensive benefits – Medical, retirement, and paid holidays vary by country.
- Docker swag – Because representing the whale never gets old.
Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community.
#LI-REMOTE
Location: Paris; London
Workplace: Hybrid
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
THE ROLE
As a Recruiting Operations Manager on the Talent Acquisition team, you will help run the systems, data and processes that let us hire +100 people per month. You will work alongside Talent Acquisition, People Ops, Legal, Finance, and every department that hires. Your job is to make recruiting more effective as we scale: more great hires per unit of effort, without adding unnecessary complexity or sacrificing quality.
This role is ideal for someone who thrives at the intersection of process, technology, and people: someone who loves solving operational challenges and driving continuous improvement.
WHAT YOU WILL DO
- Recruiting infrastructure & operating model: optimize our ATS, broader recruiting stack, workflows and processes end to end; keep the system clean, connected and scalable.
- Metrics & performance: build the metrics and reporting that leadership and Ops teams need to make decisions, and turn insights into concrete improvements in speed, quality and efficiency.
- Headcount planning & recruiting capacity: partner with Finance and business leaders to align workforce plans with business priorities and ensure recruiting capacity stays aligned as priorities evolve.
- Enable recruiters & hiring managers: build practical enablement around tools, sourcing, workflows, interviewing, hiring principles and calibration so teams can operate more effectively.
- Candidate experience & recruiting standards: establish a consistent, high-quality candidate experience across the recruiting process, and continuously identify opportunities to improve it
- Innovation & leverage: use AI, talent intelligence, market data and emerging technologies to augment how we identify, engage and assess talent, creating new sources of leverage as we scale
WHAT WE'RE LOOKING FOR
- 5+ years in operations, including 2+ years in recruiting, People or HR Operations, ideally in a company that has scaled headcount quickly and navigated significant organizational complexity.
- Strong systems thinking and attention to detail: you naturally connect the dots, spot inconsistencies and care about getting the underlying system right, not just fixing the symptom.
- Pragmatic and highly organized: you focus on what will have the biggest impact, can manage multiple complex projects without losing focus, and bring the structure and follow-through needed to get things to the finish line.
- Curious and hands-on: you have an appetite to vibe-code your way through automation, experiment with AI and new tools, and are comfortable building lightweight solutions yourself.
- High-agency and positive: you operate independently, turn complex problems into solutions rather than simply raising them, and bring a constructive, can-do mindset to the work.
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Location: Remote (USA)
Workplace: remote
Arcadia is dedicated to happier, healthier days for all. We believe that there is a better healthcare world — one powered by data. Our platform transforms complex, diverse data into a unified foundation for health, helping organizations deliver better care, boost revenue, and lower costs.
We're a team of fiercely driven individuals committed to making healthcare more sustainable — and we're looking for passionate people to help us get there.
For more information, visit arcadia.io.
Arcadia helps healthcare and life sciences organizations deliver measurable results. We unify fragmented data across the healthcare ecosystem so payers, providers, ACOs, and life sciences companies can make confident decisions grounded in trustworthy intelligence. Our platform supports more than 200 organizations and 40 million attributed lives across value-based care, risk adjustment, population health, and life sciences programs.
Why This Role Is Important to Arcadia
Arcadia's commercial team depends on consistent process, clean pipeline data, and forecasts to help manage and grow the business. As a fast-growing company, we need to scale our infrastructure, systems and operating model to one that aligns to the pace of the growth. This role owns the systems, tools, and cadences that make pipeline reviews, forecasting, and reporting consistent and accurate across the entire commercial team.
Part of the initial mandate is understanding the current ecosystem of tools and technology that support commercial and revenue operations today, and making recommendations on the optimal tech stack for the function going forward — one that is AI native. This person will be the accountable owner of that stack and roadmap, partnering closely with Product and Tech to build the AI-native operating system rather than building it in isolation.
This person will run point on sales operations and the forecasting cadence, and will build the AI-powered operating layer (dashboards, briefings, and workflow tools) that gives the entire commercial organization — not just its leadership — real-time visibility and leverage.
This is role is for someone who is execution oriented. You'll work in the tools yourself — not just direct others to — while also setting the strategy, systems, and rigor that let Sales, Marketing, Customer Success, Legal, and Finance move as one aligned, predictable engine.
What You'll Be Doing
Own the revenue operating system, designing and scaling the processes, metrics, and infrastructure that drive consistent, predictable performance across the business
Partner with Systems Engineering to drive end-to-end improvements and scalability in Salesforce, including structure, data hygiene, workflow automation, and adoption across the sales org
Evaluate the current ecosystem of tools and technology supporting commercial and revenue operations, and make recommendations on the optimal, AI-native tech stack for the function
Serve as the accountable owner of that tech stack and roadmap, partnering closely with Product and Tech to build the AI-native operating system rather than building it in isolation
Own pricing strategy, SKUs, and the end-to-end quote-to-cash process, ensuring pricing structures and deal execution are clean, consistent, and scalable
Own the forecasting cadence and develop robust, repeatable forecasting models (pipeline, bookings, ARR) that improve accuracy and predictability
Build the AI-powered operating layer — automated briefings, pipeline intelligence, meeting prep, and reporting dashboards — that gives the commercial organization real-time visibility
Establish and maintain a unified KPI framework, ensuring alignment on definitions, visibility, and accountability across the funnel
Act as connective tissue across live opportunities, coordinating Marketing, Finance, the RFP team, Value Enablement, and Sales Engineering so they're effectively leveraged
Partner with Sales, Marketing, Customer Success, and Finance leadership to align execution with company goals and financial plans
Analyze pipeline health, conversion rates, and sales efficiency to identify opportunities and drive improvements
Design and manage sales compensation and incentive plans that align with business objectives and drive desired behaviors across GTM teams
What Success Looks Like
In 3 months
Build a deep understanding of Arcadia's GTM model, revenue streams, and key SaaS metrics (ARR, NDR, GDR, pipeline coverage, win rates, sales cycle)
Assess current RevOps infrastructure, CRM configuration, reporting, and forecasting methodologies
Map the current ecosystem of tools and technology supporting commercial and revenue operations, and begin forming a point of view on the optimal, AI-native tech stack
Establish trust across Sales, Marketing, Customer Success, and Finance leadership
In 6 months
Own the CRM and forecasting cadence end-to-end, with a unified KPI framework giving clear visibility into pipeline health, revenue performance, and GTM efficiency
Ship the first version of the AI-powered operating layer (automated briefings, dashboards, and reporting tools) that reduces manual reporting burden for commercial leadership
Improve forecast accuracy through enhanced pipeline modeling and data-driven insights
In 12 months
Operate a scalable revenue operating system — process, CRM, forecasting, and AI tooling — that enables predictable growth and aligns planning across GTM and Finance
Deliver consistent, high-confidence forecasts and actionable insights that directly inform the executive team's decisions
Improve key performance metrics (e.g., pipeline coverage, conversion rates, sales productivity, retention) through data-driven optimizatio
What You'll Bring
The Role, Done Before
You have held this exact role — Head/Director of Revenue Operations or equivalent — at a company of similar growth stage, and can point to what you built and owned.
Growth-Stage Fluency
Track record of operating at growth-stage speed and ambiguity — scrappy, resourceful, and comfortable building infrastructure from scratch rather than administering something already built. Candidates whose experience is exclusively at large, mature organizations without growth-stage exposure are not a fit for this seat.
Deep SaaS Metrics Expertise
Strong command of key SaaS metrics including ARR, NDR, GDR, CAC, LTV, pipeline coverage, and sales productivity, and how they connect to business performance.
Forecasting & Modeling Rigor
Proven ability to build and operationalize forecasting models (e.g., pipeline velocity, ARR forecasting) that improve accuracy and predictability.
CRM & Systems Ownership
Deep, hands-on experience owning a CRM (Salesforce or equivalent) and the broader GTM tech stack — configuration, data integrity, and workflow design, not just consumption of dashboards.
Pricing & Quote-to-Cash Experience
Hands-on experience owning pricing strategy, SKU structure, and the quote-to-cash process, ideally in a company that scaled or restructured its pricing model.
AI-Forward
Comfortable using AI tools to build operational leverage — automating reporting, briefings, and workflows rather than relying solely on headcount to scale.
Cross-Functional Leadership
Track record of partnering effectively with Sales, Marketing, Customer Success, Finance, and executive leadership to drive alignment and results.
Operator Mindset
Ability to move between strategy and execution, translating insights into action and driving measurable impact.
Would Love for You to Have
8–12+ years of experience across Revenue Operations, Sales Operations, or GTM analytics in a SaaS environment
Experience supporting a high-growth SaaS company through key milestones (e.g., post-acquisition integration, scale-up, or M&A)
Familiarity with modern BI, AI, and planning tools (e.g., Sigma, Adaptive, Salesforce ecosystem, AI-native reporting/agent tools) and building self-service analytics environments
Experience designing and optimizing sales compensation plans at scale
What You'll Get
The mandate to build a consistent, predictable commercial engine — including its AI-powered tooling — rather than inherit and maintain one
A growth path from individual contributor to leading the people and functions that support sales operations as Arcadia scales
A mission-driven culture where your work supports better healthcare outcomes
Competitive compensation and strong benefits, including Flexible Time Off
A collaborative, data-driven environment focused on impact, ownership, and continuous improvement
About Arcadia
Arcadia.io helps innovative providers and payers across the country transform healthcare to reduce cost while improving patient health. We do this by aggregating large amounts of disparate data, applying algorithms to identify opportunities to provide better patient care, and making those opportunities actionable by physicians at the point of care in near-real time. We are passionate about helping our customers drive meaningful outcomes. We are growing fast and have emerged as a market leader in the highly competitive population health management software market and have been recognized by industry analysts KLAS, IDC, Forrester, and Chilmark for our leadership. For a better sense of our brand and products, please explore our website.
Protect Yourself
If you have concerns about the authenticity of a job offer or recruitment-related communication claiming to be from Arcadia, we encourage you to verify by contacting us directly at (781) 202-3600 and select option 3. For more information, visit our website.
This position is responsible for following all Security policies and procedures in order to protect all PHI under Arcadia's custodianship as well as Arcadia Intellectual Properties. For any security-specific roles, the responsibilities would be further defined by the hiring manager.
This role is bonus eligible
Location: Remote (North America)
Workplace: Remote
ABOUT CLIPBOARD
Our mission is to uplift as many communities as possible. We do this through our app-based marketplace that connects healthcare professionals with the workplaces that need amazing workers. This enables hundreds of thousands of people to achieve financial stability for themselves and their families while providing essential care to millions of people across the U.S.
Founded in 2016, we are a remote-first team of over 1,000 people building a top Y-Combinator company https://www.ycombinator.com/topcompanies/ and have been profitable since 2022. We’re the leader in Long-Term Care staffing and are rapidly expanding into Home Health, Hospitals, and more, meaning we have more work to do than people to do it, and are growing our team to support millions more people and their communities.
ABOUT THE ROLE
Clipboard is looking for a Sales Operations Analyst to help build and run the systems behind our sales organization.
You'll work across Salesforce, data, automation, and internal tools to help our sales team operate more effectively. That might mean building an automation that eliminates a recurring workflow, investigating a messy data problem, redesigning part of our Salesforce setup, or building a new system from the ground up.
We are a small team with an unusual operating model. Much of our execution runs through AI agents that we direct and quality-check, allowing each analyst to operate with the leverage of a much larger team.
This is equal parts builder and operator. You'll own systems end to end, work through ambiguous requests from reps and leadership, and be accountable for making sure the things you build actually work.
WHAT YOU'LL DO
- Own live systems. Take ownership of production systems such as account distribution, deal intelligence, competitor tracking, and data sync pipelines. You'll be accountable for their accuracy and reliability.
- Solve ambiguous problems. Work through requests from sales reps, managers, and leadership, figure out what is actually needed, and execute quickly.
- Direct AI agents. Write specs and prompts, supervise AI agents, and rigorously QA their output before it touches production data.
- Build automations and tools. Create scripts, scheduled jobs, Slack bots, and lightweight web apps that turn recurring manual work into scalable systems.
- Analyze and report. Use SQL and other tools to answer important revenue questions and build reporting the organization can trust.
- Guard data quality. Handle merges, deduplication, account mapping, enrichment, and other work required to keep our systems accurate at scale.
WHAT WE'RE LOOKING FOR
- Evidence of building. You've built scripts, automations, tools, systems, or other solutions to real problems.
- AI-native working style. You already use AI to multiply your output and understand where it can fail and how to verify its work.
- High judgment under ambiguity. You can take a loosely defined problem, figure out what matters, and know when to act versus when to ask.
- Strong attention to detail. You're comfortable being the last line of defense before changes affect production systems and large datasets.
- Bias to ownership. When something you own breaks, you don't just fix the immediate issue. You look for the underlying problem and improve the system.
SQL and Python experience are strong pluses, but we're more interested in your curiosity, judgment, and ability to ship than checking every technical box.
NICE TO HAVE
- Salesforce administration or development experience, including flows, SOQL, or data model design.
- Experience in Sales Operations, Revenue Operations, Business Operations, analytics, or a similar environment.
- Experience building automations with tools, scripts, APIs, or AI agents.
INTERVIEW PROCESS
1. Application Review – We'll review your experience and evidence of things you've built, automated, or owned.
2. Take-Home Assessment – A practical, ~2-hour assessment using a fictional company, mock website, and CRM. You'll have 48 hours to complete it, and AI tools are encouraged.
3. Technical Walkthrough – A 30-minute session where you'll demo what you built, explain your decisions, and make a small live change to your system.
4. Manager Interview – A 30-minute conversation focused on communication, ownership, judgment, and how you operate under ambiguity.
5. Final Steps / Offer! – Some candidates may have an executive conversation, followed by references and an offer.
WHAT WE OFFER
- Competitive base salary
- Insurance benefits + 401k options
- Unlimited PTO and flexible holidays
- Remote-first working environment
To get a better understanding of the general type of people we want to hire, you can check out our blog here. https://creatingvalue.substack.com/
Quick Note on Scammers:
Clipboard would never ask you for money or your bank details to participate in our hiring process. Report any scammers impersonating the Clipboard hiring team members here https://forms.gle/SyGaxHFbon7Hg9fW6.
Location: San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
The GTM Strategy & Operations, Frontier team coordinates how Anthropic's research reaches the market: how we run model launches commercially, how we partner with Capacity teams to allocate a finite compute supply across customers and surfaces, and how we translate what the field learns into reads that Research, Product, Finance, and GTM leadership act on.
One tangible example of the work this role will contribute to is new model and product introduction: the end-to-end commercial run of a model, product or capability release, from identifying market opportunities to preparing customer cohorts and the field through to the adoption readout that shapes where we go from there. We are hiring for someone who can run a high-stakes cross-functional program where the bar for execution is sky high, author the strategic analysis and readouts executive leadership needs, and create and optimize repeatable methodologies.
This role reports to the Global Head of GTM Strategy & Operations, Frontier, and sits at the interface between GTM, Applied AI, Product, Research, Security & Safeguards, Finance, and Compute.
Key responsibilities
Run launches
Serve as GTM DRI for product and model launches: own account selection for pre-launch, coordinate field readiness across scaled pre- and post-sales teams, and run the launch-week operating room with extreme ownership.
Synthesize customer adoption signal (usage patterns, migration behavior, qualitative feedback from the field) into actionable reads for executive leadership across the company
Design and run the field response loop: how AE, CS, Applied AI and customer response and feedback gets captured, triaged, and routed to the teams who can act on it
Evolve the NPI methodology
Design and iterate GTM's NPI methodology across both standard releases and managed-access programs, including operating cadence, roles and handoffs with field teams, and the bar for launch readiness
Carry the executive reporting cadence for launches: what leadership teams see, how often, and how we make adoption trends legible early as well as retrospectively in a continual sprint environment
Partner across the company
Act as GTM's primary interface to Product S&O and Research on launch planning, ensuring commercial readiness is sequenced with product / model readiness
Work with Sales Strategy & Operations partners, Applied AI, and Customer Success on field execution, ensuring the launch motion lands consistently across segments and regions
Partner with Capacity teams on rate limits, provisioning, and capacity planning for account cohorts, assessing capacity-efficiency opportunity and executing against it with customer value at the core
Collaborate on protect-play targeting, sequencing, and post-launch competitive response when external launches and ours overlap
Minimum qualifications
Experience in product operations, PMM operations, release management, management consulting, or GTM strategy & operations
Built and run high-stakes, operations-heavy programs with many cross-functional dependencies at a high-velocity product company, with a track record of turning effective heroics into a repeatable, scaled methodology
Ability to quickly weigh, select, and execute the balance between business, safety, and repeatability considerations
Written for and presented to senior executives; you can produce the readout leadership reads and hold the room with Product, Research, and Finance counterparts
Exceptional analytical skills, rooted in data but never without corresponding actionable insights. You can design the metrics and reporting that make a program legible, distinguish signal from noise in a messy week-one read, and work with analytics engineering teams to evolve data design to be fit for purpose
A bias toward extreme ownership - you see the gap, you fill it, and you hold the outcome regardless of where the org lines fall
Bachelor's degree required
Preferred qualifications
Strong analytical foundation: SQL and code-level data proficiency, sophisticated modeling in Sheets or Excel, and experience with BI tools (Looker, BigQuery, or similar)
Experience at an AI, developer-tools, or API-first company with consumption-based pricing (ideally as well as B2B SaaS)
Strong familiarity with, if not direct experience in, commercial roles (sales, rev ops, product marketing) or product management in addition to operations
Familiarity with safety, trust & safety, or security-review processes in a product context
Demonstrated success operating in ambiguity at a company where the product and the operating model are both changing fast
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$190,000
—
$270,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Doha, Qatar
NetWitness provides advanced threat detection, investigation, and response capabilities that help organizations detect sophisticated threats, investigate incidents, and protect critical IT and OT environments.
Job Summary
We are seeking a highly skilled Senior Cybersecurity & Operational Technology Specialist to join the NetWitness team and support customers in Qatar and the broader region.
This role requires the ability to work in Qatar and provide onsite support to customers as needed, including complex investigations, cybersecurity assessments, consulting engagements and incident response.
The role will also support the sales team as a senior technical advisor, helping customers understand NetWitness technologies and services, define requirements, scope engagements and develop technical solutions and proposals.
Key Responsibilities
Partner with local sales teams to develop technical solutions, proposals and customer engagement plans
Lead comprehensive reviews of customer cybersecurity posture across IT and OT environments.
Evaluate customer environments to identify vulnerabilities, security gaps, and opportunities to improve cyber resilience.
Translate assessment findings into actionable improvement plans, helping customers mature their security defenses.
Design and implement secure OT network architectures using segmentation, zero-trust principles, and industry recognized models such as the Purdue Model.
Conduct detailed cybersecurity assessments and threat modeling on physical industrial control systems (ICS), SCADA and other OT environments.
Develop and execute specialized OT incident response playbooks that prioritize process safety and plant availability.
Assist with aligning environments with recognized cybersecurity frameworks, including IEC 62443 and NIST SP 800-82.
Develop and maintain OT risk assessments and translate technical findings into actionable risk priorities for customers executive stakeholders. As part of the job, the resource will deliver cybersecurity consulting services both remotely and in-person.
Deliver proactive services including compromise assessments, gap analysis, threat hunting, incident readiness reviews and customer training.
Conduct digital forensics investigations on endpoints, networks, memory, OT and cloud environments using industry standard tools.
Lead incident response engagements, including triage, malware analysis, threat hunting, and root cause determination.
Develop forensic reports, timelines, and executive summaries for customers and stakeholders.
Develop or customize tools and scripts to improve investigation process.
Collaborate with cross-functional teams to mitigate threats and recommend remediation strategies.
Provide onsite support to customers in Qatar on short notice and travel regionally or internationally for customer engagements and incident response as required.
Mentor junior analysts and contribute to team knowledge-sharing initiatives.
Requirements
7+years of cybersecurity experience and significant hands-on experience in digital forensics and incident response.
Demonstrated hands-on experience securing or assessing OT/ICS environments, including industrial networks, segmentation, incident response, and security architecture.
Strong working knowledge of OT cybersecurity frameworks and standards, including IEC 62443 and NIST SP 800-82.
Strong executive-level and customer-facing communication skills, with the ability to translate complex technical findings into business and operational risk.
Relevant cybersecurity certifications such as GCFA, GCFE, GCIH, GNFA, GREM, CISSP, CISA, OSCP, or equivalent are strongly preferred.
Fluency in English and Arabic (spoken and written).
Must currently reside in Qatar or can legally work in Qatar and provide onsite customer support as required.
Location: Amman, Jordan
The Business Operations Coordinator provides operational and commercial support throughout the customer lifecycle by coordinating collections, commercial documentation, bank guarantees, performance bonds, invoicing readiness, and customer-related administrative activities. The role works closely with Business Development, Operations, Project Management, Accounting, customers, and banking institutions to ensure efficient execution of commercial processes, timely collections, and compliance with contractual obligations.
Responsibilities
Monitor customer payment schedules and follow up on outstanding receivables to ensure timely collections.
Coordinate with customers regarding invoices, payment status, purchase orders, and payment-related documentation.
Collaborate with Accounting to reconcile customer payments and resolve billing discrepancies.
Prepare aging reports and escalate collection risks when necessary.
Coordinate with Business Development, Operations, Project Managers and Accounting to ensure contractual milestones are achieved and all requirements for invoicing and collections are met.
Prepare commercial reports and dashboards covering collections, outstanding receivables, bank guarantees, contractual commitments, and other operational KPIs.
Ensure compliance with internal policies, contractual obligations, and company procedures while maintaining a high level of confidentiality.
Establish collection action plans for overdue accounts.
Investigate reasons for delayed or withheld payments and, accordingly, identify recurring causes of payment delays.
Proactively flag discrepancies or delays between contractual milestones, invoicing, and collections to the relevant Project Manager, Accounting contact, or Account Manager before they escalate.
Requirements
Bachelor's degree in Business Administration, Finance, Accounting, Banking, Economics, or a related field.
1-3 years of relevant experience in business operations, commercial support, finance operations, collections, contract administration, or a similar role.
Experience in the software, technology, or fintech industry is preferred.
Experience coordinating across cross-functional teams (e.g., project delivery, finance, and sales/account management) in a B2B or project-based environment.
Experience in customer collections and accounts receivable processes, purchase orders, and invoicing processes.
Experience with commercial contracts, documentation, bank guarantees, and performance bonds.
Proficiency in Microsoft Office applications, particularly Excel, with ERP and CRM systems as an advantage.
Excellent organizational and coordination skills, with the ability to manage multiple priorities and deadlines.
Strong communication, interpersonal, negotiation, and follow-up abilities.
High attention to detail and accuracy, combined with strong analytical and reporting skills.
Customer-focused with strong problem-solving capabilities.
Proficiency in written and verbal communication in the Arabic and English language.
Location: United States, San Diego, CA
Why Sony Interactive Entertainment?
Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.
As a member of the Production Operations Engineering team within the platform technology group, you will help keep key user experiences on the platform available, resilient and high performing across time zones and critical business periods, while continually enabling our service teams to deliver new and exciting products and technical features. The team is trusted to respond when production services need support, including through rotational on-call, incident response and urgent operational escalations. You will be empowered to define and lead technical initiatives, helping identify and proactively drive improvements in process, technology and production operations supporting millions of users.
This Staff individual contributor role carries broad technical ownership: a recognized expert and hands-on system architect whose decisions shape reliable production services across multiple partner teams. The ideal candidate brings deep full-stack engineering and production experience, strong automation instincts, cloud/container operations expertise, incident leadership, and curiosity for using AI-assisted workflows to improve operational quality, release confidence and delivery speed.
Responsibilities:
Lead application operations and production support for internal and public-facing services in AWS and container environments, with focus on availability, resiliency, scalability, performance and security.
Define and evolve production operations architecture, readiness standards and reusable patterns for services/features, including automation, monitoring, runbooks, rollback plans and operational acceptance criteria.
Architect and scale tools, scripts and automation frameworks across API/service telemetry, release validation and operational readiness to reduce toil and improve incident response.
Establish CI/CD operational gates, production validation practices and governance mechanisms that improve release confidence, scalability and engineering velocity.
Advance observability, event correlation and operational metrics using service health signals, automation health, release risk indicators, dashboards and alerts that reduce MTTD and MTTR.
Partner with SRE, data services, CI/CD, service engineering, platform hosting, product and business teams to shift reliability left and improve shared ownership of production quality.
Lead performance, capacity, infrastructure modernization and cost optimization for services using AWS, Kubernetes, EKS/UKS, autoscaling and related cloud patterns.
Use AI-assisted and agentic tools, such as Codex, Claude, Cursor or similar, to accelerate development, operational automation and production-signal analysis.
Provide rotational on-call support and improve incident workflows using Slack, JIRA, ServiceNow, BigPanda and related escalation systems; lead RCA and systemic fixes for recurring production issues.
Key Qualifications:
Staff-level hands-on engineer equally comfortable with software development, systems engineering, production operations and service architecture.
System Architect and full-stack engineer who connects customer experience, application behavior, APIs, data flows, infrastructure and operational controls into resilient designs.
Proven ability to define operational standards, quality gates, reusable frameworks and governance practices across teams.
Independent technical leader who influences cross-functional partners, mentors engineers and drives adoption of scalable practices.
Strong systems-thinking and troubleshooting depth across runtime, cloud, Kubernetes/EKS/UKS, network, observability, release and incident layers.
Required Skills:
Distributed service architecture and operations, Unix/Linux systems internals, networking, TCP/IP, HTTP/HTTPS, DNS, load balancing and API troubleshooting.
AWS service operations, including ALB, Route 53, API Gateway, Lambda, RDS, DynamoDB, ElastiCache and Java/API services.
Containers and orchestration, including Docker, Kubernetes, EKS/UKS and Fargate.
Automation and software development in Python, Go or Java; source control and configuration management using GitHub/Git, Ansible, Chef or similar.
Infrastructure as Code and CI/CD using Terraform, CloudFormation, Jenkins, Spinnaker or comparable tooling.
Observability, incident management and collaboration tooling such as Datadog, CloudWatch, Splunk, Grafana, BigPanda, Slack, JIRA and ServiceNow.
Strong communication skills with the ability to adjust messaging by audience, translate complex technical issues for cross-functional business partners, and articulate both technical detail and customer/business impact.
Data reporting, analytics or operational data platforms such as SQL, MySQL, Oracle, Snowflake or big data systems.
AI-assisted development or agentic engineering workflow experience using tools such as Codex, Claude, Cursor or similar.
Experience:
BS degree or equivalent in Computer Science, Software Engineering or related technical area.
10+ years operating and supporting services in production environments at scale.
5+ years AWS Cloud experience deploying, tuning and operating Java/API services.
Hands-on incident management experience, including on-call, incident coordination, stakeholder communications, RCA and corrective-action tracking.
Payment processing, commerce, entitlement, wallet, fraud or financial systems experience is a plus.
At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location.
Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location.
In addition, this role
is eligible
for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products.
This role also may be eligible for a bonus package.
Click
here
to learn more.
The estimated base pay range for this role is listed below.
$199,400
—
$299,200 USD
Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.
Please refer to our
Candidate Privacy Notice
for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.
Equal Opportunity Statement:
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.
We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.
Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Location: New York, New York; San Francisco, California
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:
Our Executive Operations team work closely with Notion’s leadership, serving as trusted advisors, collaborators, and problem-solvers. We focus on amplifying the impact of our executives by anticipating needs, streamlining operations, and building systems that keep leaders focused on the highest leverage work. We’re deeply connected to Notion’s mission and values, and we take pride in creating an environment of collaboration, clarity, and authenticity. Our team thrives on strong relationships, operational excellence, and a shared commitment to building tools that empower people to think and work together more effectively.
This role calls for someone who is proactive, adaptable, and deeply organized. Someone who can balance complex scheduling, drive cross-functional coordination, and bring clarity to fast moving priorities. This person will support 2 leaders in our Engineering and Product orgs. Our ideal candidate thrives in dynamic environments, operates independently, and consistently finds ways to improve workflows and communication. You’ll be a key partner in making sure our leaders and the company as a whole can move quickly while staying aligned.
This role is based in our New York office. 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:
- Organizational support: Partner with Engineering and Product leaders on running the day-to-day of an efficient, high-velocity, and fun organization
- Calendar management: Prioritize and coordinate the teams’ operating calendar, ensuring time is spent in a way that's most leveraged to achieve our business objectives
- Meeting aficionado: Organize, attend, and track meeting notes and action items, with an eye on making every interaction productive and warm
- Travel planner: Flights, hotels, transportation, dining, etc. A strong attention to detail here is valued
- Expense management: Manages expense reports for the executives you support
- Culture carrier and community builder: Craft fun & engaging team offsite experiences, celebrate birthdays and anniversaries, new family members, and promotions to ensure employees continue to feel connected and recognized
SKILLS YOU'LL NEED TO BRING:
- 5+ years of Executive Operations experience at fast-growing companies, ideally with experience with technical teams.
- Organized and detail-oriented: Strong attention to detail, able to stay calm under pressure, a quick thinker, create order of out chaos
- Effective communicator: Ability to communicate the priorities of leadership within Notion, whether it is by written, verbal, or group communication
- Event planning: Experience organizing team events with hundreds of people, as well as multi-day events with smaller groups of people, such as an executive offsite
- EQ: Love connecting with employees, and have proven ability to build relationships and bring warmth to all levels of the organization
- Discreet: Demonstrated ability to maintain complete confidentiality on all business matters
NICE TO HAVES:
- You're a Notion evangelist! You love the product, and already use it in your daily life
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 and New York City, the estimated base salary range for this role is $165,000 - $190,000.
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: San Francisco, CA | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
Anthropic's R&D teams depend on a large and fast-growing ecosystem of outside service providers. The biggest and most complex piece of it is Human Data Operations (HDO): vendors that supply the human-generated data, evaluations, and expert feedback our research depends on. Alongside HDO is a growing set of other R&D services, including labs, outsourced and outsourced service providers, and other specialized service partners that our research and special-initiative teams rely on.
We are hiring a Strategic Sourcing Business Partner to own the commercial side of this portfolio. Today these vendors have business owners and Procurement Operations support, this role will drive real ownership of the commercial terms end to end including contracts redlines, deployment of contract templates, and the negotiation.. There is significant untapped value in this portfolio (in pricing, in contract terms, and in vendor performance), and this role exists to go get it.
The job has four parts: run the contracts (redlining, templates, and renewals). This person will lead the commercial negotiations, partnering with the business to positively influence decision-making and deal structure, and manage vendor performance once the deal is signed. Success means moving fluidly between the deal and the relationship: negotiating strong terms, then executing against them through QBRs, SLA enforcement, and escalations as our needs change.
We use Claude as part of our daily workflow and are looking for someone who wants to help define what an AI-native sourcing function looks like, including how AI changes deal-making and vendor management itself over the next few years.
How this role fits within Procurement
Procurement Ops Business Partners own the primary relationship with each business vertical and are the front door for intake and day-to-day requests. Strategic Sourcing partners closely with them and owns the commercial outcome: negotiation strategy, contract terms and redlines, contract compliance, ongoing vendor performance, and sustained value creation for the leaders of these verticals working closely day to day with Legal (legal positions, templates, terms), Finance & Strategy (budgets, forecasts, and strategy), and Security / TPRM (risk assessment, approvals, process).
Responsibilities
Contract management and templates
Own the commercial redline for HDO and R&D services agreements (MSAs, SOWs, order forms, amendments, and renewals), partnering with Legal on legal terms, so deals move quickly while maintaining negotiation posture
Build and maintain the template library for these categories (standard MSA and SOW templates, pricing exhibits, SLA schedules, and a fallback playbook) so that most deals start on our paper rather than the vendor's
Run the renewal calendar for the portfolio so that no agreement auto-renews or lapses without a deliberate commercial decision
Keep contract data (rates, volume commitments, SLAs, key dates) current in our contract and intake systems so obligations are visible and enforceable
Negotiations and commercial strategy
Lead pricing and commercial negotiations across the portfolio, from strategy and deal structure through terms, SLAs, and executive alignment; you will personally run the ones that matter most
Build playbooks and Claude-powered tools for redlining, negotiation prep, benchmarking, and vendor reporting that raise the throughput and deal quality of the whole team
Design pricing structures that fit how R&D actually consumes these services (per-unit, per-hour, capacity, tiered, and committed-volume models) and that align vendor incentives with quality and throughput
Build and maintain a competitive bench for every mission-critical category via RFPs and competitive processes: qualified second sources, contracts structured so volume can move as needed, and flexible pricing constructs
Track and report savings, cost avoidance, and improved terms for the portfolio
Vendor management and value creation
Own the vendor management cadence for mission-critical vendors: QBRs, scorecards, SLA and quality reporting, and remedies when performance slips
Manage escalations between R&D teams and vendors and drive them to resolution
Identify consolidation, rationalization, and renegotiation opportunities as volumes shift, and bring executive-ready recommendations to R&D and Finance leadership
Manage TPRM, security, and compliance approvals, audit rights, and data-handling terms in partnership with Security and Legal
Relationships & Partnership
Partner with Procurement Ops BPs and leadership in R&D and special-initiative teams to understand upcoming needs and growth, and get vendor capacity and terms in place ahead of them
Partner with Finance & Strategy on vendor budgets, forecasts, and multi-year cost models for the portfolio
You may be a good fit if you have
7+ years of strategic sourcing, category management, vendor management, or commercial negotiation experience, primarily in services categories (data services, BPO or outsourced operations, lab or research services, managed services, staffing, or similar)
Hands-on contract experience: you have personally redlined MSAs and SOWs, built templates and fallback positions, and know where the commercial value sits in a services contract (pricing exhibits, volume commitments, termination rights, SLAs and remedies, IP and data terms) and when to bring in Legal
A track record of personally leading multi-million dollar services negotiations to strong outcomes, not just managing the process around them
Judgment about where leverage lives and how hard to use it: you can look at a portfolio of many vendors and many concurrent deals and know which ones deserve a deep negotiation and which need a fast, standard path, and you have a reputation with past vendors and colleagues for being commercially tough and fair with partners that need to scale with us
Strong analytical skills: rate and unit-cost analysis, TCO modeling, and pricing model design; you can find the real economics underneath a vendor proposal
Services vendor management experience: SLAs, scorecards, QBRs, and escalations, and how to enforce them without damaging the relationship
Comfort operating at pace: high deal volume, ambiguity, imperfect information, and a bias to execute rather than perfect
Clear, direct communication with executives internally and across the table, including in difficult conversations and escalations
Fluency with AI tools in your daily work and demonstrated experience in rebuilding your own workflows around them
Strong candidates may have
Experience sourcing human data, data labeling, annotation, or evaluation vendors, or comparable BPO and outsourced operations categories, and a point of view on where that market is heading
Experience sourcing lab services, scientific equipment and consumables, robotics or hardware services, or other technical services for a research organization
Experience at a hypergrowth company renegotiating or restructuring vendor pricing and contract structures under the growth curve
Experience standing up sourcing coverage for a category from scratch (templates, playbooks, benchmarks), not just operating within an established program
Experience designing vendor scorecards, SLA frameworks, and performance management programs
Familiarity with the confidentiality, data-handling, and IP terms that matter for research and data vendors
A point of view on how AI will change services vendor relationships and negotiations, backed by things you have actually tried
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$190,000
—
$230,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: UK: Manchester (Landmark, St Peter's Square, 1 Oxford St)
Workplace: Hybrid
OUR PURPOSE
At Xero, we’re here to supercharge small businesses. By making small business more efficient every day, connecting them with big business technology and empowering a community behind them, their potential is limitless. When that happens, we’re not only helping small business, we’ll be building a stronger economy that can change the world.
HOW YOU’LL MAKE AN IMPACT
As the Operations Manager - Melio, you will lead operational strategy and execution across Customer Experience, enabling teams to deliver exceptional customer outcomes while improving efficiency, scalability, and business performance.
You will have accountability for the operational capabilities that support CX teams, including Workforce Management, Quality Assurance, Knowledge Management, Training, and CX Project Management. You will build and evolve the operating model, processes, and insights required to enable teams to scale effectively and deliver against business priorities.
Partnering closely with leaders across Customer Experience, Product, Engineering, Data, Operations, Sales, Customer Success, and Finance, you will connect operational strategy with broader business goals. Through data-driven insights, continuous improvement, and strong cross-functional collaboration, you will identify opportunities, drive execution, and improve the customer and employee experience.
WHAT YOU’LL DO
- Lead the Operations function supporting Melio Customer Experience teams, ensuring operational capabilities are aligned to business priorities and customer needs.
- Develop and execute operational strategies, frameworks, and processes that enable CX teams to scale effectively.
- Own operational performance management, establishing meaningful metrics, reporting, and insights to drive accountability and decision making.
- Partner with CX Analytics to build dashboards and reporting that provide visibility into customer outcomes, operational health, and business impact.
- Lead Workforce Management, Quality Assurance, CX Systems Operations, ensuring alignment and continuous improvement.
- Identify opportunities to improve productivity, efficiency, and customer experience through process optimisation, tooling improvements, and operational innovation.
- Lead strategic projects and change initiatives, partnering with cross-functional teams to successfully deliver and embed improvements.
- Partner with Product and Engineering teams to improve products, processes, and customer experiences through structured feedback loops and operational insights.
- Support operational planning, including goal setting, prioritisation, resource planning, and investment decisions.
- Act as a trusted advisor to CX and business leaders, providing recommendations based on data, insights, and operational expertise.
- Build, coach, and develop a high-performing operations team, creating an environment that supports innovation, inclusion, and career growth.
- Proactively understand and manage risks as they relate to your role.
- Proactively understand and manage compliance and regulatory obligations for your areas of responsibility.
SUCCESS LOOKS LIKE
- Melio CX teams have a scalable operating model that enables consistent, high-quality customer experiences.
- Operational performance is measured through clear metrics and insights that enable effective prioritisation and decision making.
- Improvements to processes, tooling, and ways of working deliver measurable gains in efficiency and customer outcomes.
- Cross-functional teams are aligned through effective planning, communication, and execution.
- Customer and frontline insights are consistently used to influence product improvements and business decisions.
- Strategic operational initiatives are delivered successfully and achieve measurable impact.
- Teams are engaged, high performing, and supported to grow and develop.
WHAT YOU’LL BRING WITH YOU
Critical competencies
Experience
- Strategic operational leadership, with the ability to translate business priorities into scalable operating models.
- Strong business acumen and understanding of how operational decisions impact customer, employee, and commercial outcomes.
- Exceptional stakeholder management skills, with the ability to influence and collaborate across all levels of an organisation.
- Strong analytical and problem-solving capability, using data to identify opportunities and drive decisions.
- Experience leading change, transformation, and continuous improvement initiatives.
- Strong communication skills, with the ability to influence senior stakeholders and clearly articulate operational strategy.
- Customer-focused mindset with a passion for improving customer experiences.
- Ability to balance strategic leadership with hands-on execution.
- Proven experience leading Customer Experience, Customer Operations, or Customer Support functions in a complex, customer-focused environment.
- Demonstrated experience building and scaling high-performing teams within a B2B SaaS or technology environment.
- Proven experience leading through leaders and developing strong people leadership capability.
- Demonstrated experience designing and implementing scalable operational processes, frameworks, and ways of working.
- Proven experience driving operational excellence, continuous improvement, and measurable business outcomes.
- Demonstrated experience using data, insights, and metrics to influence decision making and improve performance.
- Proven experience leading cross-functional initiatives and managing complex change in a fast-paced, evolving environment.
- Experience working within financial services, payments, or other highly regulated industries is preferred.
- Experience with CX platforms such as Zendesk, analytics and reporting tools such as Tableau, Quality Assurance, and Workforce Management practices is preferred.
- B2B FinTech experience is preferred.
Location: Remote-Friendly (Travel Required) | San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic is building data center campuses at a pace where several are under construction at once, each moving through design, construction, commissioning, and turnover to an operating partner. Security scope on those projects (the physical protections, the systems that enforce them, and the operational readiness of the company that will run the site) has to be delivered as deliberately as the buildings themselves.
As Lead for Data Center Security Delivery, you will own security through that entire arc for every campus under construction: from groundbreaking, through construction-phase security, through commissioning and milestone acceptance, to a clean handover into full operation. You are the single point of accountability for "the site's security is actually ready", and you will verify that the operating partner has its people, processes, systems, and contractual security obligations genuinely in place before a site goes live.
This is a delivery role, not a watch-the-dashboard role. You'll absorb the day-to-day noise of active construction sites (schedule slips, design changes, vendor coordination, escalations) so the rest of DCSE can stay focused on steady-state operations and systems. And where DCSE's requirements or processes don't survive contact with a real construction schedule, you will have the authority, and the expectation, to rewrite them.
Role boundaries.
This seat is distinct from DCSE's regional security operations leads and from the team's systems-engineering roles. The operations leads own steady-state regional programs (vendors, guard force, incident response) once a site is running; the systems roles build platforms and tooling. This role owns the delivery arc: every site's security scope from construction start through commissioning, acceptance, and handover, after which accountability transfers to operations.
Key responsibilities
You will own the security delivery program across every Anthropic campus under construction: concurrently, from groundbreaking to handover.
Construction-phase security delivery: temporary
site security, contractor vetting and access, protection of installed equipment, and coordination with general contractors and site teams on every active build.
Milestone and commissioning acceptance: define
and maintain the security acceptance criteria at each construction milestone and commissioning gate; run or attend acceptance events (FAT/SAT, punch lists); issue or withhold the security sign-off.
Operator readiness verification: build
and run a structured, evidence-based readiness process proving the operating company is genuinely ready before handover: staffing and guard force in place, SOPs adopted, security systems commissioned and monitored, contractual security obligations demonstrably met.
Clean handover to operations: own the turnover
package (as-builts, test records, credentials, punch-list closure, residual-risk register) and the defined transition from construction-phase to operational security ownership.
Requirements and process authority: rewrite
DCSE's construction-security requirements, delivery processes, and acceptance frameworks where they fail in the field, and codify what works, so each build is cleaner than the last.
Representation and escalation: represent
security in design reviews, owner-architect-contractor (OAC) meetings, and change management; coordinate integrators, general contractors, and operator counterparts on security system installation, testing, and commissioning; surface schedule and readiness risks early, with options, to DCSE leadership and cross-functional partners.
Minimum qualifications
Have personally delivered the physical security scope on new-build data center (or comparable critical-infrastructure) construction projects (design reviews through construction, commissioning, and turnover to operations) and can name the sites and your role on them.
Have run milestone- or commissioning-acceptance processes: FAT/SAT, punch lists, turnover documentation, formal sign-off.
Have held an operator, landlord, or vendor accountable to contractual security obligations, with evidence rather than assurances.
Are comfortable being the person who says "not ready", and can do it in a way that produces a plan rather than a standoff.
Can absorb the operational noise of multiple concurrent construction sites and still drive each one toward its handover date.
Can author requirements, standards, and process documents that get adopted, and are willing to rewrite your own when they fail in the field.
Work through influence with general contractors, integrators, operators, and internal partners; you shape decisions rather than block them.
Preferred qualifications
CPP (Certified Protection Professional) or PSP (Physical Security Professional) certification, or commissioning credentials.
Hyperscaler or major colocation new-build delivery experience.
Experience on both sides of an operator/tenant relationship.
Construction management or owner's-representative background.
Experience in regulated or high-assurance environments.
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:
$290,000
—
$365,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Vancouver, Canada
Workplace: Hybrid
Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance.
As a People Operations Business Partner, you will guide and support employees while serving as an advisor to managers and the leadership team. This role is hands-on and execution-focused, weighted toward employee relations casework alongside broader program delivery (performance reviews, talent calibration, role design, and training rollout). You'll play a key role in embedding consistent people practices, contributing to team-wide initiatives, and ensuring employees and managers have a well-supported experience across our international footprint.
Base Salary: $120,000 - $130,000 CAD
Location: Vancouver, Canada (hybrid)
What the People Operations Business Partner will do:
- Own frontline employee relations, managing complex cases end-to-end and ensuring fair, consistent, and legally sound outcomes.
- Partner with managers to solve day-to-day people issues, coaching on performance management, feedback, and difficult conversations.
- Manage employment matters across a global workforce, building deep multi-jurisdiction employment law knowledge and working directly with PEOs, external counsel, and local advisors across AMER, EMEA, and APAC..
- Provide clear, pragmatic HR policy guidance and contribute to policy updates alongside legal.
- Support our contractor and non-employee populations, navigating the distinct compliance and relationship issues they carry.
- Use people data to spot trends and work with managers on practical fixes.
- Advise on retention actions such as pay adjustments, promotions, and recognition.
- Use AI tooling to increase leverage across casework, drafting, and analysis.
- Support delivery of people programs and systems, including hands-on training rollout.
SKILLS AND ABILITIES THAT THE CANDIDATE CAN BRING:
- Progressive experience across multiple HR disciplines, including operations, compensation, organizational design, learning & development, employee relations, inclusion, and performance management.
- Experience supporting international leaders and teams, with practical awareness of local employment laws and best practices across multiple jurisdictions.
- Broad experience resolving complex employee relations issues, ideally in a fast-scaling or tech environment.
- Demonstrated ability to build strong, trusted relationships with leaders — including in high-tension, legally sensitive situations — and act as an objective, influential advisor.
- Experience building and defining training programs and practices from the ground up.
- Exceptional time management, with the ability to juggle multiple priorities in a fast-paced, ambiguous environment.
- Proactive project tracking and organizational skills, ensuring initiatives are delivered on time and to a high standard.
- Proactive problem-solver who anticipates needs, raises challenges early, and takes ownership of outcomes.
- Fluency with modern HRIS/ATS and people tooling (e.g. HiBob, Deel, Ashby)
Fraud warning:
It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying.
To all recruitment agencies:
Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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ГибридParis; London; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks
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Doha, Qatar
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United States, San Diego, CA; As a member of the Production Operations Engineering team within the platform technology group, you will help keep key user experiences on the platform available, resilient and high performing across time zones and critical business periods, while continually enabling our service teams to deliver new and exciting products and technical features
ГибридNew York, New York; San Francisco, California
