The Manager, GCS supports teams to improve process effectiveness and performance and provides guidance in the development and maintenance of processes, systems and services owned by GCS.

This role coordinates, leads and delivers GCS services across projects and activities, ensuring operational excellence across all delivery models.

It also leads and project manages improvement initiatives that strengthen how clinical development is delivered and how patients ultimately benefit from our science.

As a key member of an activity team, the Manager, GCS coordinates and delivers GCS services, overseeing lifecycle management and business continuity for assigned projects, services and technologies.

The role provides expert support to user communities by conducting process, system and tool training, facilitating knowledge sharing, establishing best practices and maintaining clear communication with stakeholders across GCS and AstraZeneca.

It involves conducting critical analyses of processes and tools to define business usage, identifying opportunities to improve efficiency and effectiveness while reducing business continuity risks, and contributing to or developing business cases for continuous improvement projects.

The Manager, GCS leads or manages business improvement projects using lean principles, including planning, prioritising, implementing and tracking delivery.

Acting as a source of knowledge in one or more GCS areas, the role supports the implementation of changes that enhance how functions and teams perform.

It evaluates and monitors programme performance to ensure implementation stays on target, trains colleagues in continuous improvement and new ways of working, and helps embed a culture of change.

The role grows capabilities, applies new approaches to improve work, positively impacts team performance and creates learning opportunities for others.

It is also responsible for knowledge management of continuous improvement activities, ensuring insights are captured and used to shape future initiatives.

Ready to help transform how clinical development operates?

Essential Skills/Experience:

• BS, MS, or PhD in a biological or healthcare-related field with 2+ years of relevant pharmaceutical or clinical development industry experience

• Ability to work collaboratively; proven organisational and analytical skills, and proven skills to deliver to time, cost and quality

• Good project management skills

• Excellent knowledge of spoken and written English

• Strong business communication, stakeholder management and presentation skills

• Well-developed organisational and interpersonal skills

• Ensure risks and issues management to ensure effective delivery.

Expertly utilises escalation routes and governance to gain traction and deliver rapid solutions

Share lessons learned and best practice recommendations with relevant stakeholders to drive continuous improvement

Build relationships and achieve results without line management input

Curious and self-motivated

Desirable Skills/Experience:

• Experience utilising standard process improvement methodologies (e.g. Lean Six Sigma) to identify root causes of process issues and identify areas of process improvement

• Some experience with Quality Systems and Quality Management, including process definition and process improvement, ideally within an Information Systems environment

• Experience in multiple fields of clinical development

• Understanding of ICH GCP guidelines in relation to study delivery

• Experience working in a global organisation with complex/geographical context

When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines.

In-person working gives us the platform we need to connect, work at pace and challenge perceptions.

That's why we work, on average, a minimum of three days per week from the office.

But that doesn't mean we're not flexible.

We balance the expectation of being in the office while respecting individual flexibility.

Join us in our unique and ambitious world.

AstraZeneca offers the chance to follow the science end-to-end, from early discovery through late-stage development, in an environment where digital, data science and AI are embedded into everyday work.

Colleagues collaborate across disciplines and geographies to tackle complex diseases, learn from patients' experiences and translate ideas into life-changing medicines for people worldwide.

Continuous learning is encouraged through diverse projects, development programmes and exposure to different therapy areas, enabling meaningful careers built on curiosity, courage and scientific excellence.

If this role matches your skills and ambition, apply now to help shape the future of clinical development and make a real impact for patients!

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You'll translate infrastructure and product capabilities into commercial propositions, partnering with Sales and Marketing to ensure international enterprise and government customers understand what Anthropic can deliver, and when. You'll serve as the internal subject matter expert on international readiness requirements, advising on deals, partnerships, and policy positions as they arise.

You'll build scalable processes for capturing, triaging, and acting on international product feedback so it doesn’t get lost in HQ product cycles. You'll serve as the GTM strategist for Anthropic’s mission-oriented international programs, including our approach to responsible AI deployment in democratic allied nations and our strategy for expanding access and affordability in Global South markets.

You'll partner with Policy, Beneficial Deployments, and Global Affairs to ensure mission programs have a viable commercial and infrastructure foundation, not just a policy framework. You'll track and synthesise the competitive landscape for sovereign AI and national AI programs, surfacing implications for Anthropic’s positioning and commercial strategy.

Responsibilities

• Contribute to Anthropic’s international compute strategy
• Develop a framework for evaluating and sequencing data residency and sovereign deployment requests
• Identify and document international customer requirements for product localization
• Translate infrastructure and product capabilities into commercial propositions
• Serve as the internal subject matter expert on international readiness requirements
• Build scalable processes for capturing, triaging, and acting on international product feedback
• Serve as the GTM strategist for Anthropic’s mission-oriented international programs
• Partner with Policy, Beneficial Deployments, and Global Affairs to ensure mission programs have a viable commercial and infrastructure foundation

Requirements

• 5–7 years in product, technical GTM, solutions engineering, or strategy roles with meaningful international scope
• Strong working knowledge of cloud infrastructure, data residency frameworks, and enterprise compliance requirements
• Experience working with or selling to government customers or regulated enterprises
• Ability to synthesise complex technical, regulatory, and geopolitical constraints into clear commercial and strategic recommendations
• Comfortable building internal processes from scratch
• High autonomy and strong written communication
• Direct experience with sovereign cloud programs, regulated data environments, or government AI initiatives is a plus
• Familiarity with EU AI Act, India DPDP Act, or similar regulatory frameworks shaping enterprise AI deployment internationally is a plus
• Experience at a hyperscaler, cloud provider, or enterprise SaaS company navigating international infrastructure decisions is a plus
• An interest in the intersection of AI, democratic governance, and responsible technology deployment is a plus
• Annual salary: £120,000-£170,000 GBP

$190,000-$270,000 USD

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Key responsibilities include:

• Design and implement automated ML and NLP pipelines for data preprocessing, query understanding and rewrite, ranking and retrieval, and model evaluation
• Collaborate with product managers and cross-functional teams to drive technology-first initiatives that enable novel business strategies and product roadmaps for the search and discovery experience
• Contribute to building a robust framework for evaluating search ranking improvements - both offline and online

The ideal candidate will have a strong understanding of computer science fundamentals, experience applying LLM to search relevance, and contributions to well-used open-source projects.

At Databricks, you'll have the opportunity to shape the future of AI-driven products, work with cutting-edge models, and collaborate with a world-class team of AI and ML experts.

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Key Responsibilities: Drive the development and deployment of ML based search and discovery relevance models and systems integrated with Databricks' products and services. Design and implement automated ML and NLP pipelines for data preprocessing, query understanding and rewrite, ranking and retrieval, and model evaluation, enabling rapid experimentation and iteration. Collaborate with product managers and cross-functional teams to drive technology-first initiatives that enable novel business strategies and product roadmaps for the search and discovery experience. Contribute to building a robust framework for evaluating search ranking improvements - both offline and online.

What We’re Looking For: BS+ (M.S. or PhD preferred) in Computer Science, or a related field. 6+ years experience developing search relevance systems at scale in production or in high-impact research environments. Experience applying LLM to search relevance - Experience in one or more of the following: Query understanding NLP Text mining Recommendations Personalization Discovery Conversational AI Strong understanding of computer science fundamentals. Contributions to well-used open-source projects.

Why Join Us? At Databricks, we are building state-of-the-art AI solutions that redefine how users interact with data and our products. You’ll have the opportunity to shape the future of AI-driven products at Databricks, work with cutting-edge models, and collaborate with a world-class team of AI and ML experts.

About Databricks Databricks is the data and AI company. More than 10,000 organisations worldwide , including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 , rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI.

Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.

Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel.

Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff , payroll, health insurance, 401(k)s, and HR , so owners can focus on their craft and their customers.

With teams in Denver, San Francisco, and New York, we support more than 400,000 small businesses nationwide and are building a workplace that reflects the people we serve.

All full-time employees receive competitive base pay, benefits, and equity (RSUs) , because everyone who helps build Gusto should share in its success. Offer amounts are determined by role, level, and location. Learn more about our Total Rewards philosophy.

AI is a fundamental part of how work gets done at Gusto. We expect all team members to actively engage with AI tools relevant to their role and grow their fluency as the technology evolves. AI experience requirements vary by role and will be assessed during the interview process.

About the Role:

Gusto is scaling our AI-powered risk function to support a complex, multi-entity business operating in highly regulated environments. As the Enterprise Risk Management Lead, you will own and operate Gusto's Enterprise Risk and Third Party Risk Management programs , built AI-first, designed to scale, and built to enable the business to move fast without breaking things.

This is a People Empowerer (manager) role. You balance hands-on program leadership with managing and developing a team of compliance professionals. You navigate the tension between "doing the work" and "leading the work" , contributing directly to complex, high-impact programs while ensuring your team delivers with excellence.

You are a change agent who influences how automated risk management gets done at Gusto, models AI-enabled ways of working, and helps others grow their own capabilities in the process.

You will champion the adoption of AI, machine learning, and process automation across risk monitoring, control testing, incident management, and reporting , and you will partner with Product, Data Science, and Engineering to make it explainable, adopted, compliant, and scalable.

Here’s what you’ll do day-to-day:

You manage initiatives that are complex in both scope and impact, influencing the strategic direction of Gusto's compliance risk management framework.

You apply a deep understanding of the regulatory landscape and how it intersects with Gusto's business model to proactively design and lead cross-functional risk programs.

You translate complex risk topics into clear, actionable guidance that senior leaders can immediately understand and operationalize.

You lead cross-functional working groups, align divergent perspectives, and drive cohesive progress toward shared goals , with minimal oversight.

As a PE, you balance individual risk and compliance contribution with team leadership.

You manage operations, professional development, resource allocation, and performance , while staying close enough to the work to be a credible, hands-on partner to your team and stakeholders.

You model responsible AI use, and act as a source of knowledge and mentorship , supporting your team's AI journey and helping others apply it responsibly and effectively.

AI-Enabled Risk Operations, Innovation & Transformation

This is how you and your team operate , not a side project.

• Champion the adoption of AI, machine learning, process automation, and advanced analytics to improve risk monitoring, control testing, and reporting across ERM, TPRM, and broader compliance functions

• Lead the integration of AI and automation into every phase of the risk lifecycle: vendor assessments, document ingestion and analysis, continuous monitoring and alerting, risk scoring, prioritization, and trend analysis

• Build intelligent risk monitoring and evaluation systems , including auto-tagging for risk issues, audit requests, and regulatory changes , that improve real-time visibility and eliminate manual effort across the enterprise risk portfolio

• Drive the digitalization of risk tools including RCSAs, KRIs, incident reporting, and audit tracking , transforming periodic, reactive processes into continuous intelligence systems with live leading and lagging indicators that enable real-time decision-making

• Partner with Product, Data Science, and Engineering to define requirements for AI-driven workflows, decisioning engines, and dashboards , ensuring explainability, auditability, and regulatory defensibility of all AI-enabled risk decisions

• Design and build intelligent dashboards and reporting tools that deliver real-time risk visibility and decision-quality insights to senior leadership and cross-functional stakeholders

• Design AI workflows with appropriate validation loops, human-in-the-loop checkpoints, and guardrails , ensuring outputs are reliable, governable, and meet regulatory standards before being used to frame risks, recommendations, or decisions

• Stay current on AI advancements and emerging technologies and proactively integrate new capabilities into team operations to increase velocity and scale

• Model responsible AI use , supporting ICs in their AI journeys and fostering a culture of intentional experimentation, accountability, and continuous improvement

Enterprise Risk Management

• Design, implement, and continuously improve Gusto's ERM framework, ensuring alignment with best practices and Gusto's stage of growth and strategic priorities across all entities

• Define and maintain Gusto's enterprise risk taxonomy, risk appetite statement, and key risk indicators spanning operational, regulatory, technology, financial, and reputational risk domains

• Lead Gusto's Enterprise Risk Management process , driving integration of risk practices across business functions, promoting a proactive risk culture, and ensuring incident management, root cause analysis, and lessons learned are systematically captured in an automated, AI forward way.

• Apply AI-assisted insights to enterprise risk datasets to surface systemic patterns, validate assumptions, prioritize risks, and deliver proactive, data-driven advisory to senior leadership

• Monitor the regulatory landscape (OCC, FDIC, CFPB, SEC, FINRA, GDPR, NIST, ISO, SOC) and leverage AI to proactively incorporate changes before they become compliance gaps

• Act as a key advisor to senior compliance leadership , translating complex risk findings into clear, actionable recommendations with minimal oversight

Third Party Risk Management (TPRM)

• Design, implement, and independently manage a high-impact, AI-first TPRM program with clear milestones, progress tracking, and measurable outcomes across all Gusto entities

• Manage the full third-party risk lifecycle , onboarding and risk profiling, periodic assessments, issue management, corrective action tracking, and offboarding , across suppliers, product partners, contractors, service providers, and cloud service providers , and do so in an AI and automated way.

• Maintain a centralized, authoritative vendor risk inventory and risk register, ensuring real-time visibility into Gusto's third-party risk posture

• Conduct periodic AI-driven audits and reviews of third-party compliance with contractual obligations and regulatory standards, identifying patterns that inform continuous program improvement

• Serve as the central orchestrator across Compliance, Security, Legal, Procurement, IT, and GRC for proactive and reactive third-party incident management

• Own Gusto's TPRM policy and maintain comprehensive documentation , risk assessments, audit findings, corrective actions , ensuring full accountability and traceability

People Leadership & Team Development

• Balance individual compliance contribution with team leadership , managing operations, professional development, resource allocation, and performance while staying close to the work

• Coach and develop ICs toward next

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Key Responsibilities: Drive the development and deployment of ML-based search and discovery relevance models and systems integrated with Databricks' products and services. Design and implement automated ML and NLP pipelines for data preprocessing, query understanding and rewrite, ranking and retrieval, and model evaluation, enabling rapid experimentation and iteration. Collaborate with product managers and cross-functional teams to drive technology-first initiatives that enable novel business strategies and product roadmaps for the search and discovery experience. Contribute to building a robust framework for evaluating search ranking improvements - both offline and online.

What We’re Looking For: BS+ (M.S. or PhD preferred) in Computer Science, or a related field. 10+ years experience developing search relevance systems at scale in production or in high-impact research environments. Experience applying LLM to search relevance. Experience in one or more of the following: query understanding, NLP, text mining, recommendations, personalization, discovery, conversational AI. Strong understanding of computer science fundamentals. Contributions to well-used open-source projects.

Why Join Us? At Databricks, we are building state-of-the-art AI solutions that redefine how users interact with data and our products. You’ll have the opportunity to shape the future of AI-driven products at Databricks, work with cutting-edge models, and collaborate with a world-class team of AI and ML experts. If you're excited about pushing the boundaries of AI in real-world applications, we’d love to hear from you!

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This is a foundational and transformational role at a pivotal moment for CoreWeave, as we scale our revenue operations infrastructure to support our trajectory as a newly public AI hyperscaler. Following our 2025 IPO and accelerated growth trajectory, we are in search of a world-class RevOps leader who can build enterprise-grade operational rigor while maintaining the Startup mindset, agility, and innovation that defines CoreWeave.

The ideal candidate will transform revenue operations from a supporting function into a strategic growth driver, creating the data foundation, process excellence, and operational insights that enable our sales, marketing, customer success, support, field engineering, and partner teams to execute at peak performance. As an AI-native company, we expect you will lead us into an AI-first strategy to create a next-generation AI-driven RevOps function to harness and implement innovation throughout our global field organization.

The successful candidate will be a proven revenue operations executive with deep expertise in scaling high-growth technology companies, building world-class revenue operations platforms, and partnering with sales leadership to drive measurable business outcomes. You will have demonstrated success implementing sophisticated revenue operations frameworks, leading large global teams, and establishing data-driven cultures that turn insights into action. Your experience spans the full revenue operations stack,from CRM architecture and sales automation to forecasting methodologies, territory optimization, compensation design, and revenue analytics.

This role uniquely combines strategic leadership with hands-on operational excellence. You will define CoreWeave's revenue operations strategy, build and lead a global team of revenue operations professionals, establish our RevOps technology stack and data architecture, create scalable processes that drive efficiency while maintaining growth, and deliver the analytics and insights that inform executive decision-making. You will be the operational partner to our Chief Revenue Officer and go-to-market leadership, ensuring we have the infrastructure, insights, and execution to achieve our ambitious revenue targets while maintaining the flexibility to adapt as markets and opportunities evolve.

Strategy & Vision Define and execute CoreWeave's global revenue operations strategy, establishing world-class operational rigor, process excellence, and data infrastructure that enables predictable, scalable revenue growth. Build comprehensive revenue operations capabilities spanning sales operations, sales strategy, sales enablement, revenue analytics, sales compensation, territory management, and forecasting,creating an integrated operational framework that drives efficiency and effectiveness across the entire revenue organization. Design and implement CoreWeave's revenue technology stack, selecting, integrating, and optimizing CRM, sales engagement, revenue intelligence, forecasting, compensation, and analytics platforms that create a single source of truth for revenue data and enable seamless execution. Leverage AI to fundamentally build a next-gen RevOps center of excellence. Lead ongoing integrations of acquisitions made by the company. Establish data-driven forecasting methodologies and revenue analytics frameworks that provide executive leadership with accurate, real-time visibility into pipeline health, revenue performance, and growth trajectories across segments, products, and geographies. Partner with CRO and go-to-market leadership to develop strategic territory plans, quota allocation models, capacity planning frameworks, and resource deployment strategies that optimize coverage, maximize revenue potential, and drive efficient growth. Design and implement sales compensation programs that align with corporate objectives, drive desired behaviors, and attract and retain top sales talent, including variable compensation structures, accelerators, SPIFs, and performance-based incentives. Establish robust revenue governance frameworks, including deal desk operations, pricing and discount approval workflows, contract review processes, SOX compliance, and commercial risk management that balance growth velocity with operational discipline. Create sophisticated revenue analytics and business intelligence capabilities, delivering executive dashboards, pipeline analytics, win/loss analysis, sales productivity metrics, and strategic insights that inform decision-making and drive continuous improvement. Drive operational excellence through continuous process optimization, automation of manual workflows, elimination of friction in revenue processes, and implementation of best practices that enable the sales organization to focus on selling. Recruit, develop, and lead a world-class global revenue operations organization, including sales operations, sales strategy, enablement, compensation, and analytics teams, building a high-performance culture of operational excellence and strategic partnership with the go-to-market organization. Serve as the strategic thought partner to the CRO and executive leadership team, providing data-driven insights, scenario modeling, and operational recommendations that inform strategic decisions on market expansion, product prioritization, and go-to-market investments.

Who You Are: Minimum 15+ years of progressive experience in revenue operations, sales operations, or sales leadership roles, with at least 8 years in senior revenue operations leadership positions. Proven track record building and scaling revenue operations functions in high-growth B2B technology companies, ideally with experience supporting organizations generating $500M+ in annual revenue. Demonstrated success implementing and optimizing enterprise CRM platforms (Salesforce expertise required), revenue intelligence tools, sales engagement platforms, and revenue analytics solutions at scale. Deep expertise in sales forecasting methodologies, pipeline management frameworks, revenue recognition principles, and financial planning processes that drive accurate revenue predictability. Extensive experience designing sales compensation plans, quota methodologies, territory models, and capacity planning frameworks for complex sales organizations with multiple segments and product lines. Strong background in data analytics, business intelligence, and revenue reporting, with ability to translate complex data into actionable insights and executive-ready presentations. Track record of building and leading high-performing global revenue operations teams, including experience managing teams across multiple geographies and time zones. Experience supporting enterprise sales.

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By joining a team dedicated to building the future of Finance at Reddit, you will gain a deep understanding of our business drivers while making a tangible impact on how a mission-driven organisation operates.

Key responsibilities include:

• Budgeting, forecasting, reporting, variance analysis, and ad-hoc analysis for various areas in the company
• Developing flexible financial models and workforce forecasts to analyse headcount growth, incremental hiring needs, and talent acquisition capacity against peer benchmarks and long-term business goals
• Providing management with clear insights into drivers of business growth, risks, and opportunities
• Playing a key role in providing valuable insights that can translate into business recommendations

As a key partner to the business, you will develop strategies, build insightful forecasting and reporting, and drive impactful insights for key leaders. This includes strategic partnership, financial presentations, measuring key metrics for operational performance, and other projects as requested for optimal decision making within an extremely high growth and fast-paced environment.

You will also develop and streamline FP&A processes, focused on adding value and allowing us to scale partnership with the business, including planning and forecasting processes, standardising and automating reporting, improving how we leverage internal systems, and building operational and forecast models.

Work cross-functionally day-to-day with Finance, Accounting, and Human Resources teams in budget management/tracking and evaluating progress against key initiatives, with a keen eye towards process improvement.

Partner with cross-functional team members to drive strategic resource allocation.

Regularly work in a highly visible, cross-functional role with the business and executive leadership.

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You will create and execute on account strategies tailored to each customer's business goals, delivering high-impact outcomes across their financial stack. You will own the full lifecycle of success, from onboarding to renewal by leveraging product usage insights, stakeholder engagement, and cross-functional collaboration to drive product adoption, minimize churn, and grow account value.

Responsibilities:

• Develop and own strategic account plans to drive retention, expansion, and adoption across your portfolio of enterprise customers.
• Act as a trusted advisor to finance stakeholders by providing guidance on best practices across spend management, credit policy, reconciliation workflows, and financial reporting automation.
• Build multi-threaded relationships across functional areas (Finance, Procurement, AP, IT, and Security) to increase platform stickiness and customer engagement.
• Lead business reviews and financial health checks that drive executive alignment and showcase ROI.
• Proactively identify and mitigate churn risks through data analysis, usage insights, and issue resolution.
• Partner cross-functionally with Sales, Product, Credit, Risk, and Operations teams to deliver a seamless customer experience and advocate for product improvements.

Requirements:

• 4+ years in a customer-facing role owning account health, executive relationships, or expansion strategy.
• Direct experience with core accounting workflows, such as invoice processing, T&E tracking, budgeting, accounts payable, ERP systems (e.g., NetSuite, QuickBooks), or spend management tools.
• Experience managing complex, global enterprise accounts (10,000+ employees), with the ability to navigate nuanced org structures and build durable partnerships.
• Strong business acumen with a finance-first mindset and comfortable speaking the language of CFOs, Controllers, and FP&A teams.
• Ability to synthesize product usage data into strategic recommendations that drive tangible customer outcomes.
• Demonstrated success in cross-functional collaboration and influencing internal roadmaps based on customer needs.

Bonus Points:

• You love solving complex business problems with innovative financial solutions.
• You think in systems, not silos and understand the bigger picture of customer value.
• You are energized by being proactive, not reactive, in helping customers succeed.
• You want to be a thought leader and internal resource for enterprise strategy across the CS org.

Compensation: The expected OTE range for this role is $117,600 - $147,00 CAD.

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This position is needed to partner in driving a scalable, holistic web analytics implementation strategy while maintaining data integrity of existing setup, ultimately ensuring Twilio.com web tracking capabilities continue to grow, are utilized by the company, and are accurate + reliable. The ideal candidate collaborates with several cross-functional teams at Twilio such as UX, CRO, Web Strategy, Web Dev, Demand Gen, SEO, Content+ more to deliver scalable and easy-to-use web analytics solutions and insights.

As a subject matter expert in this space, you will grow your presence company-wide and eventually own relationships cross-functionally.

We are looking for someone with proven experience in GA4 implementation, business/marketing analytics reporting, analysis and stakeholder communications.

Responsibilities:

Work closely with the Web team to deliver desired web analytics tracking for business stakeholders Own and maintain a holistic GA/web analytics strategy, implementation, troubleshooting, documentation + enablement Brainstorm with technical and non-technical stakeholders on creative ways to meet data requirements, while balancing site performance, holistic tagging strategies, and expanded data capabilities Drive continual web analytics capability improvements, and maintain high standards for data integrity Own and share recurring monthly and adhoc analysis, deep dives, storytelling to uncover the 'so what' - providing actionable insights and recommendations across site, page, channel and A/B testing performance Strategize and build scalable solutions that support company-wide enablement and the utilization of web analytics for data-driven decision-making Partner with our CDP SMEs to orchestrate a unified data strategy, maximizing the integration between our CDP and Google Analytics to drive a 360-degree view of the customer journey

Qualifications:

• 5 years of experience in web analytics
• Expertise in Google Analytics 4, both implementation and analysis.
• Strong knowledge of JavaScript, HTML, and browser dev tools.
• Hands-on experience with Google Tag Manager (GTM)
• Familiarity with A/B and multivariate testing frameworks, as well as web personalization
• Strong communication skills with the ability to communicate effectively with both technical and non-technical audiences
• Detail-oriented with a passion for clean, trustworthy data.
• Strong analytical skills with a track record of independently exploring data, delivering insights, storytelling, and actionable recommendations.
• Excellent collaborator across cross functional teams; skilled in managing stakeholder projects
• Highly reliable and accountable.
• A self-starter.
• Interest or experience in applying AI-driven solutions to analytics workflows.

Desired:

• Familiarity with Big Query, Adobe AEM, Adobe Target
• Interest or exposure to fraud monitoring tools and processes.
• Experience with Looker Studio, Tableau, or other BI tools.
• Working knowledge of Customer Data Platforms (CDPs) and analytics data integrations.
• A deeper understanding of:

First party and third party cookies Cross domain tracking (including the limitations of web protocols and UTM strategies) Tagging and tracking strategies (e.g., when to use Segment → GA4 vs. GTM → GA4 for optimal efficiency) Ad pixel setup and utms deployment strategies

Travel:

We prioritize connection and opportunities to build relationships with our customers and each other. For this role, approximately 15% travel is anticipated to help you connect in-person in a meaningful way.

What We Offer:

Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.

Compensation:

*Please note this role is open to candidates outside of California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State. The information below is provided for candidates hired in those locations only. The estimated pay ranges for this role are as follows:

Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $106,320 - $132,900. Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $112,560 - $140,700. Based in the San Francisco Bay area, California: $125,040 - $156,300.

This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location.

Application deadline information:

Applications for this role are intended to be accepted until April 30, 2026, but may change based on business needs.

Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values , something we call Twilio Magic. Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions.

Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

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You'll create and execute on account strategies tailored to each customer's business goals, delivering high-impact outcomes across their financial stack. You will own the full lifecycle of success, from onboarding to renewal by leveraging product usage insights, stakeholder engagement, and cross-functional collaboration to drive product adoption, minimize churn, and grow account value.

Responsibilities:

• Develop and own strategic account plans to drive retention, expansion, and adoption across your portfolio of enterprise customers.
• Act as a trusted advisor to finance stakeholders by providing guidance on best practices across spend management, credit policy, reconciliation workflows, and financial reporting automation.
• Build multi-threaded relationships across functional areas (Finance, Procurement, AP, IT, and Security) to increase platform stickiness and customer engagement.
• Lead business reviews and financial health checks that drive executive alignment and showcase ROI.
• Proactively identify and mitigate churn risks through data analysis, usage insights, and issue resolution.
• Partner cross-functionally with Sales, Product, Credit, Risk, and Operations teams to deliver a seamless customer experience and advocate for product improvements.
• Own key metrics for your accounts: GMV growth, product adoption, credit utilization, and customer health scores.

Requirements:

• 4+ years in a customer-facing role owning account health, executive relationships, or expansion strategy.
• Direct experience with core accounting workflows, such as invoice processing, T&E tracking, budgeting, accounts payable, ERP systems (e.g., NetSuite, QuickBooks), or spend management tools.
• Experience managing complex, global enterprise accounts (10,000+ employees), with the ability to navigate nuanced org structures and build durable partnerships.
• Strong business acumen with a finance-first mindset and comfortable speaking the language of CFOs, Controllers, and FP&A teams.
• Ability to synthesize product usage data into strategic recommendations that drive tangible customer outcomes.
• Demonstrated success in cross-functional collaboration and influencing internal roadmaps based on customer needs.
• Bachelor's degree required; finance, business, or related fields preferred.

Bonus Points:

• You love solving complex business problems with innovative financial solutions.
• You think in systems, not silos and understand the bigger picture of customer value.
• You are energized by being proactive, not reactive, in helping customers succeed.
• You want to be a thought leader and internal resource for enterprise strategy across the CS org.

Compensation: The expected OTE range for this role is $132,888 - $166,110 USD. The starting wage will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity.

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Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly.

Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek.

Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream.

We make this a reality by empowering you with the tools, resources, and support you need to grow your career.

Sales at Brex

Sales is the growth engine at Brex. We bring in new customers, expand existing relationships, and drive the company’s bottom line. With unlimited territories and uncapped opportunity, your ambition sets the ceiling. We win together, celebrate often, and reward performance.

If you want to sell a category-defining product with real ownership, this is your team.

What you’ll do

As an Enterprise Customer Success Manager, you will serve as a financial technology advisor to Brex’s largest customers by partnering with CFOs, Controllers, and finance ops teams to ensure they unlock the full value of Brex’s solutions.

You’ll create and execute on account strategies tailored to each customer’s business goals, delivering high-impact outcomes across their financial stack.

You will own the full lifecycle of success, from onboarding to renewal by leveraging product usage insights, stakeholder engagement, and cross-functional collaboration to drive product adoption, minimize churn, and grow account value.

Where you’ll work

This role will be based in our San Francisco office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of two coordinated days in the office per week, Wednesday and Thursday.

As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities

• Develop and own strategic account plans to drive retention, expansion, and adoption across your portfolio of enterprise customers.

• Act as a trusted advisor to finance stakeholders by providing guidance on best practices across spend management, credit policy, reconciliation workflows, and financial reporting automation.

• Build multi-threaded relationships across functional areas (Finance, Procurement, AP, IT, and Security) to increase platform stickiness and customer engagement.

• Lead business reviews and financial health checks that drive executive alignment and showcase ROI.

• Proactively identify and mitigate churn risks through data analysis, usage insights, and issue resolution.

• Partner cross-functionally with Sales, Product, Credit, Risk, and Operations teams to deliver a seamless customer experience and advocate for product improvements.

• Own key metrics for your accounts: GMV growth, product adoption, credit utilization, and customer health scores.

Requirements

• 4+ years in a customer-facing role owning account health, executive relationships, or expansion strategy.

• Direct experience with core accounting workflows, such as invoice processing, T&E tracking, budgeting, accounts payable, ERP systems (e.g., NetSuite, QuickBooks), or spend management tools.

• Experience managing complex, global enterprise accounts (10,000+ employees), with the ability to navigate nuanced org structures and build durable partnerships.

• Strong business acumen with a finance-first mindset and comfortable speaking the language of CFOs, Controllers, and FP&A teams.

• Ability to synthesize product usage data into strategic recommendations that drive tangible customer outcomes.

• Demonstrated success in cross-functional collaboration and influencing internal roadmaps based on customer needs.

• Bachelor's degree required; finance, business, or related fields preferred.

Bonus Points

• You love solving complex business problems with innovative financial solutions.

• You think in systems, not silos and understand the bigger picture of customer value.

• You are energized by being proactive, not reactive, in helping customers succeed.

• You want to be a thought leader and internal resource for enterprise strategy across the CS org.

Compensation

The expected OTE range for this role is $132,888 - $166,110 USD.

The starting wage will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity.

The OTE figure listed here includes base salary and commissions, which may or may not be earned depending on performance.

Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

Please be aware, job-seekers may be at risk of targeting by malicious actors looking for personal data.

Brex recruiters will only reach out via LinkedIn or email with a brex.com domain.

Any outreach claiming to be from Brex via other sources should be ignored.

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You will create and execute on account strategies tailored to each customer's business goals, delivering high-impact outcomes across their financial stack. You will own the full lifecycle of success, from onboarding to renewal by leveraging product usage insights, stakeholder engagement, and cross-functional collaboration to drive product adoption, minimize churn, and grow account value.

Responsibilities:

• Develop and own strategic account plans to drive retention, expansion, and adoption across your portfolio of enterprise customers.
• Act as a trusted advisor to finance stakeholders by providing guidance on best practices across spend management, credit policy, reconciliation workflows, and financial reporting automation.
• Build multi-threaded relationships across functional areas (Finance, Procurement, AP, IT, and Security) to increase platform stickiness and customer engagement.
• Lead business reviews and financial health checks that drive executive alignment and showcase ROI.
• Proactively identify and mitigate churn risks through data analysis, usage insights, and issue resolution.
• Partner cross-functionally with Sales, Product, Credit, Risk, and Operations teams to deliver a seamless customer experience and advocate for product improvements.
• Own key metrics for your accounts: GMV growth, product adoption, credit utilization, and customer health scores.

Requirements:

• 4+ years in a customer-facing role owning account health, executive relationships, or expansion strategy.
• Direct experience with core accounting workflows, such as invoice processing, T&E tracking, budgeting, accounts payable, ERP systems (e.g., NetSuite, QuickBooks), or spend management tools.
• Experience managing complex, global enterprise accounts (10,000+ employees), with the ability to navigate nuanced org structures and build durable partnerships.
• Strong business acumen with a finance-first mindset and comfortable speaking the language of CFOs, Controllers, and FP&A teams.
• Ability to synthesize product usage data into strategic recommendations that drive tangible customer outcomes.
• Demonstrated success in cross-functional collaboration and influencing internal roadmaps based on customer needs.
• Bachelor's degree required; finance, business, or related fields preferred.

Bonus Points:

• You love solving complex business problems with innovative financial solutions.
• You think in systems, not silos and understand the bigger picture of customer value.
• You are energized by being proactive, not reactive, in helping customers succeed.
• You want to be a thought leader and internal resource for enterprise strategy across the CS org.

Compensation: The expected OTE range for this role is $117,600 - $147,00 USD.

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You will track and interpret key economic indicators across regions, assess the implications of monetary and fiscal policy decisions, and evaluate how macro trends shape financial markets and risk conditions.

This role sits at the intersection of economics, markets, and strategic decision-making.

You will build forecasts and scenario analyses to understand how shifts in growth, inflation, interest rates, currencies, commodities, and geopolitics may affect asset prices and broader market regimes.

Your work will inform top-down investment views and risk assessments, supporting global macro strategies driven by economic fundamentals rather than individual company analysis.

The ideal candidate is intellectually curious, analytically rigorous, and comfortable working in a fast-moving, high-ownership environment.

Consistent with xAI's flat organisational structure, you are expected to be hands-on, proactive, and able to communicate ideas clearly and concisely to a highly technical and motivated team.

As a Macro Research Analyst, you will contribute directly to this mission by helping the organisation understand large-scale economic systems, feedback loops, and regime shifts that shape global outcomes.

You will structure, analyse, and interpret macroeconomic data across countries and regions, transforming noisy and often incomplete information into coherent economic narratives and testable hypotheses.

Your research will help identify causal relationships, constraints, and second-order effects within complex economic systems,insights that are essential for training, evaluating, and applying advanced AI models to real-world economic and financial questions.

By developing forecasts, scenarios, and risk assessments, you will support xAI's efforts to reason about uncertainty, stress-test assumptions, and evaluate how shocks propagate through global markets and institutions.

Clear communication of your findings will ensure that economic insights are effectively shared across teams, reinforcing xAI's emphasis on rigorous thinking, transparency, and collaborative problem-solving.

In this role, macroeconomic research is not an end in itself, but a tool for advancing deeper understanding.

Your work will help xAI build systems that reason more accurately about economic behaviour, policy trade-offs, and global dynamics,bringing us closer to AI that can meaningfully assist human decision-making at scale.

The Macro Research Analyst will have broad responsibility for analysing global macroeconomic conditions and their implications for financial markets and strategic decision-making.

The scope of the role spans data analysis, economic modelling, and synthesis of macroeconomic developments across multiple regions and asset classes.

The role includes management of ongoing monitoring frameworks for key economic indicators, policy developments, and geopolitical risks.

The analyst will be expected to independently identify emerging themes, develop forward-looking scenarios, and assess how macroeconomic shifts may alter market dynamics, risk exposures, and opportunity sets.

The position requires close collaboration with internal stakeholders, with an emphasis on clear, concise communication of complex economic concepts.

Given xAI's flat organisational structure, the analyst will operate with a high degree of autonomy and accountability, contributing directly to research outputs and strategic discussions rather than functioning in a narrow support capacity.

The scope of the role is intentionally flexible, allowing a high-performing analyst to expand their responsibilities over time by taking ownership of new research areas, developing novel analytical frameworks, and influencing how macroeconomic intelligence is integrated into xAI's broader mission.

Responsibilities:

Monitor and interpret data such as GDP growth, inflation, unemployment rates, interest rates, fiscal/monetary policy, currency movements, commodity prices, and geopolitical events across countries or regions.

Build economic forecasts, scenario analysis, and models to predict how macro forces will affect markets (e.g., how a central bank rate hike might impact equities, bonds, or currencies).

Provide research reports, trade ideas, and recommendations to portfolio managers, traders, or clients. This often informs 'global macro' investment strategies, where decisions are driven primarily by top-down economic views rather than individual company fundamentals.

Identify potential risks (e.g., recessions, currency crises, trade wars) and opportunities arising from economic shifts.

Basic Qualifications:

Strong academic background in economics, finance, mathematics, statistics, or a related quantitative field.

Demonstrated experience in macroeconomic research, global macro investing, economic policy analysis, or a closely related role.

Deep understanding of macroeconomic indicators and frameworks, including growth, inflation, labor markets, monetary and fiscal policy, exchange rates, commodities, and geopolitical dynamics.

Experience building and interpreting economic models, forecasts, and scenario analyses to assess market and policy outcomes.

Ability to synthesise large and complex data sets into clear, structured insights and actionable conclusions.

Strong written and verbal communication skills, with the ability to explain complex economic concepts concisely to both technical and non-technical audiences.

High level of intellectual curiosity and comfort working with uncertainty, incomplete information, and competing hypotheses.

Self-directed, detail-oriented, and capable of operating effectively in a flat organisational structure with minimal oversight.

Proven ability to prioritise effectively, manage multiple research streams, and deliver high-quality work under time constraints.

Preferred Skills and Experience:

3–7 years of experience post-doc.

At least three publications in reputable economics journals (AER, QRE, JPE, Econometrica, etc.) or outlets (The Economist, The Wall Street Journal, Financial Times, etc.).

Prior experience at a global macro hedge fund, asset manager, central bank, international financial institution, policy research organisation, or economic consulting firm.

Strong familiarity with financial markets across multiple asset classes, including rates, FX, equities, and commodities.

Experience producing investment-oriented research, including trade ideas, market commentary, or risk assessments tied to macroeconomic views.

Proficiency with data analysis and modelling tools such as Python, R, MATLAB, or similar quantitative environments.

Experience working with large economic and financial datasets and building repeatable research pipelines.

Ability to evaluate tail risks, regime shifts, and non-linear dynamics in macroeconomic systems.

Interest in applying macroeconomic reasoning to novel problems, including AI-driven applications.

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As a Business Operations Lead, you will play a crucial role in helping to streamline business processes, assist with key product launches, and manage internal and external business development (BD) initiatives.

Your primary responsibilities will include:

• Serving as a strategic right-hand to the Chief Business Officer, providing hands-on advisory across CRM strategy, internal process design, team organisational op model, data insights, and day-to-day operational decision-making.
• Delivering analysis that helps inform team performance in market, product utilisation, forecasting insights, and revenue trends for BD.
• Building and maintaining account/client tiering and prioritisation frameworks that help BD focus on the highest-value opportunities.
• Overseeing and tracking BD objectives and key results (OKRs), ensuring alignment with our long-term vision and strategy.
• Handling day-to-day business development operations, including pipeline management, deal flow, and forecasting, to ensure the team meets its objectives efficiently.
• Developing and running training sessions for the business development team, empowering them with the tools and processes needed to succeed.
• Helping orchestrate LayerZero's presence in both internal and external BD activities, coordinating participation in key meetings, events, and collaborations.
• Assisting with go-to-market (GTM) strategies and product launches, ensuring alignment with business development efforts and customer engagement.

To be successful in this role, you will need:

• 3–5+ years of experience in business operations, revenue operations, sales operations, or a similar function, ideally within a tech startup, high-growth, or Web3 environment.
• A deep understanding of BD/sales operations: pipeline management, deal tracking, CRM administration, and forecasting methodologies.
• Proven ability to build and improve operational processes from the ground up (SOPs, automation, cross-functional workflows).
• Strong analytical skills with experience building dashboards, performance reports, and data-driven recommendations.
• Excellent cross-functional communication. You thrive as the connective tissue between BD, Finance, Legal, Product, and Marketing.
• Highly organised, proactive, and comfortable operating with a high degree of ownership and ambiguity.
• Familiarity with CRM platforms (HubSpot, Salesforce, Linear, or similar) and modern GTM tooling.
• Experience supporting or partnering closely with executive leadership is a strong plus.

LayerZero Labs is committed to fostering a diverse and inclusive workplace. LayerZero Labs is an equal opportunity employer and does not discriminate on the basis of race, national origin, religion, gender, gender identity, sexual orientation, marital status, protected veteran status, disability, age, or any other legally protected status.

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You will own compensation analysis and benchmarking, lead key compensation cycles, and partner closely with HR, Finance, and senior leadership to build an equitable and forward-looking total rewards framework.

The ideal candidate will have progressive experience in Total Rewards, Compensation, or People Operations, with a strong focus on compensation design and program management. They will possess deep expertise in compensation analysis, benchmarking (e.g., Radford, Mercer, Carta), and market pricing within a talent-competitive industry, ideally financial services, crypto, or fintech.

We have created the Factors of Growth & Impact to help Villagers better measure impact and articulate coaching, feedback, and the rich and rewarding learning that happens while exploring, developing, and mastering the capabilities and contributions within and outside of the Member of Total Rewards role:

Technical Skills:

• Possesses deep expertise in compensation design, benchmarking methodologies (e.g., Radford, Mercer, Carta), and end-to-end management of complex rewards programs (merit, bonus, equity).
• Applies advanced analytical skills to independently diagnose and creatively solve intricate total rewards challenges, contributing to the strategic evolution of compensation frameworks and job architecture.
• Proactively identifies and implements process improvements and scalable solutions for total rewards administration, ensuring alignment with broader organisational priorities and industry best practices.

Complexity and Impact of Work:

• Independently owns and drives the planning and execution of complex, organisation-wide compensation cycles and initiatives, consistently delivering tactical business targets within Total Rewards.
• Navigates significant ambiguity to build, refine, and scale compensation structures and processes, acting as a critical partner to leadership in shaping Anchorage's long-term rewards strategy.
• Leads cross-functional projects with Finance, HR Business Partners, and senior leaders, ensuring robust compensation solutions are implemented with minimal oversight and proactively sharing knowledge to prevent single points of failure.

Organisational Knowledge:

• Monitors leading industry trends in total rewards, especially within financial services, crypto, or fintech, to inform the development of a competitive and equitable compensation strategy aligned with Anchorage's growth.
• Articulates the strategic impact of total rewards initiatives on attracting, retaining, and motivating top talent, demonstrating a clear understanding of how compensation drives broader firm objectives.
• Acts as a culture carrier within the People team and beyond, actively contributing to talent acquisition strategies by sharing insights on market competitiveness and total rewards value proposition.

Communication and Influence:

• Effectively mentors junior team members and leads collaborative efforts across HR Business Partners, Finance, and senior leadership to foster knowledge sharing and alignment on total rewards initiatives.
• Translates complex compensation data and strategic recommendations into clear, compelling communications, adapting messaging to influence and secure buy-in from diverse stakeholders, from individual Villagers to executive leadership.
• Proactively builds and leverages a network of internal and external contacts, including industry peers, to stay abreast of best practices and continuously refine Anchorage's total rewards approach.

You may be a fit for this role if you have:

• Progressive experience in Total Rewards, Compensation, or People Operations, with a strong focus on compensation design and program management.
• Demonstrated deep expertise in compensation analysis, benchmarking (e.g., Radford, Mercer, Carta), and market pricing within a talent-competitive industry, ideally financial services, crypto, or fintech.
• Proven track record of independently leading the end-to-end design, implementation, and administration of complex compensation programs, including merit, bonus, equity, and RSU plans.
• Ability to operate strategically and tactically, translating compensation philosophy into actionable frameworks and owning all stages of compensation cycles.
• Exceptional analytical skills with the ability to interpret complex data, identify trends, and develop data-driven recommendations for senior leadership.
• Experience collaborating effectively with HR Business Partners, Finance, and executive teams to ensure alignment of total rewards strategy with business objectives and budget constraints.
• Proficiency with HRIS platforms (e.g., workday) and compensation planning tools, with a strong understanding of how to leverage technology for efficient total rewards administration.
• Demonstrated ability to thrive in a fast-paced, high-growth environment, building structure and process where none previously existed, and comfortable with ambiguity.
• Excellent communication and presentation skills, with the ability to clearly articulate complex compensation concepts to diverse audiences, from individual contributors to executives.

Although not a requirement, bonus points if:

• Direct experience with Workday HRIS and advanced compensation planning modules.
• Exposure to international compensation practices and global equity program management.
• Experience transitioning a company from options to RSUs.
• Experience with trading or hedge fund compensation models.
• Experience presenting to and influencing compensation committees or boards.
• You were emotionally moved by the soundtrack to Hamilton, which chronicles the founding of a new financial system. :)

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This position is responsible for the day-to-day engineering work activities in an assigned area. Responsibilities include service design, estimating, and coordinating construction for multiple overhead and underground residential, new business, industrial and other construction projects as needed.

The candidate must provide superior customer service and be able to prepare and schedule construction of jobs to meet committed service dates. Other duties will include handling customer inquiries (voltage complaints, claims, etc.) and assisting with Distribution compliance and asset management programs.

The candidate will also participate in the on-call rotation and must be available after business hours for local, out-of-town, and out-of-state trouble and storm restoration.

Primary responsibilities include but are not limited to:

• Provides engineering/technical expertise and guidance in the identification, analysis, and resolution of problems in the Distribution design area.
• Ensures accomplishment of business goals and objectives through effective planning, organizing, estimating, scheduling and monitoring of work activities.
• Prepares thorough and accurate cost estimates, correspondence, documentation, calculations, and sketches.
• Conducts engineering and related studies.
• Strives to continually improve job-related, engineering, technical and professional knowledge, skills and performance.
• Develops positive working relationships to effectively coordinate work activities.
• Demonstrates effective oral and written communication skills.
• Maintains accurate records and files.
• Supports the company's goals and represents the company positively and professionally.
• Process switching requests submitted to Distribution Control Center.
• Must be available after hours as required to provide leadership and assist in emergency restoration.

REQUIRED QUALIFICATIONS

• Bachelor of Science in the following Engineering disciplines from an ABET accredited program: Electrical, Mechanical, Civil, Industrial or Chemical.
• Understanding of basic engineering theories and principles.
• Understanding of basic practices of researching engineering and design issues, evaluating alternatives, making sound recommendations and preparing and presenting recommendations.

DESIRED QUALIFICATIONS

• Bachelor of Science in Electrical Engineering
• Demonstrated good understanding of electric utility and facility design standards, specifications and requirements for electrical projects, and the ability to produce construction documents.
• Demonstrated understanding of construction management skills and practices.
• Demonstrated effective negotiating skills.
• Demonstrated ability to quickly grasp new techniques, deal with rapid changes in priorities, and remain calm and effective in stressful situations.
• Demonstrated ability to meet required deadlines while simultaneously completing other tasks.
• Demonstrated ability to establish and maintain effective working relationships with peers, partners, customers, and the public by adapting to various personality styles in a professional manner.
• Experience and demonstrated written and oral communications skills, including the ability to present information, facilitate meetings, and provide direction to others.
• Ability to deal with a variety of individuals from various socio-economic, cultural, and ethnic backgrounds.
• Understanding of basic principles of project management

Knowledge, Skills, and Abilities:

• Strong communication and interpersonal skills.
• Strong technical writing skills preferred.
• Strong project management and organizational skills
• Ability to maintain attention to details in written and spoken communication is required.
• Ability to utilize excellent interpersonal skills to build and maintain strong, positive relationships with employees and customers.
• Ability to work in a team environment
• Ability to prioritize work activities and manage time effectively

Behavioral Attributes:

• Must exhibit integrity and ethical behavior.
• Demonstrates behaviors consistent with the Company’s values of Unquestionable Trust, Superior Performance, and Total Commitment.
• Demonstrate initiative, personal ownership and accountability.

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This role will be responsible for leading and optimising the financial planning and analysis processes for GREF, ensuring accurate cost distribution, driving financial transparency across the organisation. This role will also support execution of global initiatives and improvements across the greater GREF landscape.

Key job responsibilities include:

Financial Planning, Analysis, and Process Optimisation:

• Develop, implement, and continuously improve end-to-end financial planning and analysis processes, methodologies, and frameworks for GREF

• Lead the design and execution of financial models that support accurate financial reporting and decision-making

• Collaborate with senior leadership to align financial strategies with business objectives and growth plans

• Own system integrations and data flow related to FP&A processes

• Stay current with industry best practices and integrate innovative approaches into GREF's financial planning and analysis methodologies

Financial Analysis and Reporting:

• Oversee the production of high-quality financial reports and analyses related to GREF operations

• Develop and maintain key performance indicators (KPIs) to measure the effectiveness of financial processes

• Provide insights and recommendations based on financial data to support strategic decision-making

• Lead monthly reviews of financial and operating metrics, analyse variances to forecast, and communicate key drivers to senior management

Chart of Accounts Management and Systems Ownership:

• Serve as the subject matter expert for IBM Cognos/TM1, FRAMES, and Spectra

• Lead system enhancements, upgrades, and integrations for these platforms to support GREF's financial processes

• Provide training and support to team members and stakeholders on the use of these systems for financial planning and reporting purposes

Basic Qualifications:

• 7+ years of multiple finance and accounting roles experience

• 7+ years of Accounts Payable (AP) experience

• 7+ years of applying key financial performance indicators (KPIs) to analyses experience

• 7+ years of building financial and operational reports/data sets that inform business decision-making experience

• 7+ years of creating process improvements with automation and analysis experience

• Bachelor's degree in engineering, statistics or business, or Bachelor's degree and 7+ years of quantitative role (engineering, process re-engineering, quality assurance) experience

Preferred Qualifications:

• 6+ years of identifying incomplete or inaccurate data, identifying the root cause and creating/implementing an escalation plan experience

• 6+ years of solving complex business challenges by delivering accurate and timely financial models, analysis, and recommendations that have a proven impact on business (e.g., financial savings, operational improvements, or customer benefits) experience

• MBA, or CPA

• Knowledge of SQL/ETL

• Experience working with large-scale data mining and reporting tools (examples: SQL, MS Access, Essbase, Cognos) and other financial systems (examples: Oracle, SAP, Lawson, JD Edwards)

• Experience delivering forecasting, budgeting, and variance analysis, and data interpretation of results

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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This role operates at the intersection of digital operations, customer experience, and AI-powered transformation. You will help drive the integration of intelligent automation, predictive analytics, and GenAI capabilities into digital service channels to improve customer experiences, enhance agent efficiency, and optimize operational performance.

As a Digital Product Operations Manager, you will:

• Oversee end-to-end digital service operations across customer and agent journeys, partnering with Product, Technology, and Architecture teams to ensure smooth delivery of features, fixes, and enhancements.
• Define and monitor KPIs such as experience scores, CSAT, FCR, and system uptime to track digital performance across various digital channels.
• Drive real-time customer and agent experience tracking, identify friction points, and lead UX improvement initiatives backed by data analysis and user feedback.
• Manage critical defects and high-priority escalations by coordinating with stakeholder teams to ensure rapid and accurate resolution.
• Build and maintain real-time dashboards to surface trends, generate insights, and inform leadership decisions; leverage tools such as Qualtrics, Mixpanel, and Fullstory etc.
• Use customer and partner research to strengthen analytical capabilities, identify market trends, and recommend customer experience enhancements.
• Partner with data science, analytics, and engineering teams to embed AI-driven insights into digital operations, enabling proactive issue detection and resolution.
• Apply AI-based predictive models to forecast demand, detect patterns, and inform operational and resource planning.
• Evaluate and operationalize AI copilots, GenAI assistants, and automation tools to streamline agent workflows and improve customer self-service.
• Promote responsible AI through governance, transparency, bias monitoring, explainability, and data privacy practices.
• Lead GenAI-powered experiments that include personalized content, conversational experiences, and journey-level optimizations.
• Support AI-driven journey analytics using NLP, clustering, sentiment analysis, and behavioral modeling to improve customer understanding.

Key Responsibilities:

• Identify and scope opportunities to utilize AI, machine learning, and automation to optimize digital experience operations and agent support processes.
• Collaborate with product owners to build AI-informed business cases, including ROI modeling for predictive experiences, intelligent routing, and automated troubleshooting.
• Manage AI-enabled dashboards and monitoring systems that surface real-time anomalies, experience dips, and emerging performance trends.
• Partner with CX, analytics, and engineering teams to run A/B tests leveraging AI-generated variants, measuring uplift and customer impact.
• Translate customer and agent insights using AI-powered analytics (e.g., text/sentiment analysis, pattern detection) into actionable recommendations for journey improvements.
• Apply GenAI capabilities to improve team operations, e.g., automated insights summaries, triaging, root cause analysis drafting, and workflow documentation.

Experience & Education Requirements:

• Overall experience > 6-8 years, 4+ years’ experience required with extensive relevant customer understanding/user research/consulting experience, packaging and delivering insights to influence change. 4+ years of combined experience required in analytics, performance reporting, and/or process improvement.
• Advanced project and process management experience. Agile preferred.
• Bachelor's degree preferred in Technology, Mathematics, Statistics, Business, or related field.
• Master’s degree preferred in Management, Analytics, Artificial Intelligence.
• Experience working with AI/ML-driven platforms or analytics tools (e.g., customer behavioral modeling, NLP pipelines, predictive analytics).
• Background or coursework in AI, machine learning, data science, or human-centered AI preferred.
• Demonstrated ability to translate technical AI concepts into business language for non-technical stakeholders.
• Availability to work in PST time zone.

Other Critical Skills:

• Familiarity with GenAI tools, conversational AI platforms, and AI-assisted productivity solutions.
• Ability to interpret outputs from models using techniques such as anomaly detection, clustering, and predictive scoring.
• Strong understanding of AI ethics, governance, and responsible AI frameworks.
• Comfortable working in environments where AI-driven decision automation informs prioritization and operational strategies.
• Possesses strong technical aptitude. Intermediate knowledge in using analytic tools such as Tableau and Microsoft Excel. Proficient in Microsoft Office including MS Word, Excel, Outlook, PowerPoint.
• Strong verbal communication and listening skills. Strong business acumen, with effective written and verbal communication skills.
• Ability to communicate, influence, and deliver with cross-functional teams and enterprise stakeholders. Ability to manage multiple projects with tight deadlines effectively with cross functional teams.

Software / Tool Skills:

• Experience with AI/ML or data intelligence platforms (e.g., Azure ML, AWS SageMaker, Google Vertex AI—basic exposure acceptable).
• Hands-on familiarity with GenAI copilots, prompt engineering concepts, or LLM-based experience analysis tools.
• Experience interpreting insights from NLP, AI-powered text analytics, or conversational AI systems.
• Hands on experience with user Feedback/Data analysis tools – Qualtrics, Fullstory, Mixpanel etc.
• Good proficiency or practical experience of A/B Testing tools.
• Agile tools such as Jira, Rally etc.
• Understanding of Contact center and CMS tools.
• Excel - Intermediate/Advanced. Proficiency in Microsoft 365
• Power BI (Highly Preferred)

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Constructor is a U.S. based company that develops a next-generation platform for search and discovery in ecommerce, built to optimize for metrics like revenue, conversion rate, and profit. Our search engine is entirely invented in-house utilizing transformers and generative LLMs, and we use its core and personalization capabilities to power everything from search itself to recommendations to shopping agents.

About the Team

The Ranking team, within the Machine Learning chapter, plays a central role in implementing algorithms that optimize our customers' business KPIs like revenue and conversion rates. We focus on metrics over features, supplying our ranking algorithms with powerful capabilities that bring value to our customers.

Role Details

Design and Develop ML-Based Ranking Solutions

As a Machine Learning Engineer on the Ranking team, your primary focus will be to enhance the quality of our ranking systems, ensuring that search, browse, and autocomplete experiences are highly relevant, personalized, and diverse. You will work on building state-of-the-art ranking algorithms that improve user experience and drive critical business metrics such as conversion, user engagement, and revenue growth.

Improve Ranking Quality

You will analyze ranking performance and identify gaps in search, browse, and autocomplete experiences, focusing on relevance, personalization, attractiveness, diversification, and other quality signals.

Innovate and Optimize Ranking Algorithms

You will proactively propose new machine learning models, algorithms, and features to advance the ranking pipeline, improve ranking quality, and meet evolving business needs.

Collaboration with Cross-Functional Teams

You will collaborate with technical and non-technical business partners to develop / update ranking functionalities (both within and outside the team)

Requirements

Hard Skills

• At least 4 years of experience with Python for machine learning and backend development
• At least 4 years of experience developing, deploying, and maintaining machine learning models with a strong focus on ranking systems for search, recommendations, or similar applications
• Experience in large-scale ML model training, evaluation, and optimization, with a focus on real-time inference and serving
• Experience with big data frameworks such as Spark for processing large datasets and integrating them into ML pipelines
• Proficiency in using tools like SQL, PySpark, Pandas, and other frameworks to extract, manipulate, and analyze data
• Experience with data pipeline orchestration tools like Airflow or Luigi to manage and automate workflows for ML training and signal delivery
• Experience working on ranking algorithms that optimize metrics such as relevance, conversion rates, personalization, user engagement, RPV is a plus

Soft Skills

• Experience collaborating in cross-functional teams
• Experience leading projects to success
• Excellent English communication skills
• Enjoy helping others around you grow as developers and be successful
• Pick up new ideas and technologies quickly, love learning and talking to others about them
• Love to experiment and use data and customer feedback to drive decision making

Benefits

• Unlimited vacation time
• Fully remote team
• Work from home stipend
• Apple laptops provided for new employees
• Training and development budget for every employee, refreshed each year
• Maternity & Paternity leave for qualified employees
• Work with smart people who will help you grow and make a meaningful impact
• Base salary: $80k–$120k USD, depending on knowledge, skills, experience, and interview results
• Stock options
• Regular team offsites to connect and collaborate

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This is an excellent opportunity for a Support Bar Analyst (IT Help Desk) with excellent communication and leadership skills, looking to make an impact within a fast-paced and dynamic environment. The role reports to the Head of Local Support and involves working closely with colleagues in other offices to deliver a seamless service to our users.

Responsibilities:

• Act as front-line support for local and/or time zone-based employees
• Serve as the main point of contact for our customers via email, walk-ups, and chat support
• Respond promptly and professionally to customer inquiries and troubleshoot issues related to our products and services
• Utilize relevant software and databases to effectively diagnose, track, and resolve customer issues and address complaints
• Maintain accurate records, including call logs and ticketing systems, to track customer interactions and issue resolution
• Collaborate with other teams to identify and resolve technical issues
• Stay up-to-date with industry trends and provide input on continuous improvement to the Helpdesk and customer service workflows
• Identify and escalate issues requiring urgent attention to the appropriate parties
• Ensure SLAs are met and that our internal users are provided with an exceptional user experience
• Ensure that all IT assets in the local office are managed and maintained to a high standard
• Ensure compliance with all relevant regulations and legislation related to workplace services, health and safety, and environmental management

Requirements:

• Global experience within a business services environment and ideally video games development and/or working in a highly technical development environment
• Strong knowledge of first and second-line support operations
• Desirable knowledge of ServiceNow and industry trends
• Excellent relationship-building skills
• Ability to work in a matrix management environment
• Proven work experience in a customer service or Helpdesk role
• Excellent communication and active listening skills with a customer-first mindset
• Ability to operate effectively in a dynamic, fast-paced environment and multitask effectively
• Ability to learn quickly and adapt to new software applications and technologies
• Excellent problem-solving skills
• Strong customer service orientation, with a focus on delivering high-quality services to employees and stakeholders

Skills and experience desired:

• Manage the deployment, configuration, and maintenance of mobile devices, including tablets, smartphones, consoles, Meeting Room solutions (Intune, Autopilot, EMS, MDM, VDI)
• Manage the deployment, configuration, and maintenance of user peripherals
• Provide 3rd-line support for mobility applications to team members, customers
• Helping Keywords gain compliance in Local and global standards (ISO 27001, Cyber Essentials Plus)
• Collaborate with other stakeholders to ensure application security and data privacy are maintained
• Evaluate emerging technologies and provide recommendations for improving mobility services by closely working with OEMs and Vendors
• Develop and maintain technical documentation related to mobility solutions, providing training where needed to other departments on mobility solutions
• Basic knowledge of ITIL process

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San Francisco; New York City; Remote - US

Employment Type

Full time

Location Type

Hybrid

Department

Intelligence & Investigations

Compensation

• $198K – $220K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team

OpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity. We believe achieving this goal requires real-world deployment and continuous iteration based on how our products are used—and misused—in practice.

The Intelligence and Investigations team supports this mission by detecting, investigating, and disrupting the misuse of our products, particularly critical or novel harms. Our work enables partner teams to develop data-backed model policies and build scalable safety mitigations. By precisely understanding abuse, we help ensure OpenAI’s products can be used safely to build meaningful, rewarding applications.

About the Role

As a Technical Abuse Investigator on the Intelligence and Investigations team, you will be responsible for detecting, investigating, and disrupting malicious use of OpenAI’s platform. You will further scale parts of the investigative process to help our team disrupt harm at scale. This role combines traditional investigative judgment with strong technical fluency: much of the work involves navigating complex datasets to surface actionable abuse signals, not just reviewing individual reports.

In addition to conducting investigations directly, this role is explicitly designed to act as a force multiplier for the broader investigations team. You will be scaling or automating highly manual, important and nuanced processes. You will design and implement lightweight technical solutions—such as notebook templates, data pipelines or internal utilities—that enable specialized investigators to identify, track, and action abuse at a greater scale than a single investigator can currently achieve. Success in this role is measured not only by investigations completed, but by how effectively your work enables you and your team members to operate more efficiently and consistently.

You will work closely with engineering, legal, investigations, security, and policy partners to respond to time-sensitive escalations, investigate activity that falls outside existing safeguards, and translate investigative insights into scalable detection and enforcement strategies.

This role includes participation in an on-call rotation to handle urgent escalations outside of normal work hours. Some investigations may involve sensitive content, including sexual, violent, or otherwise disturbing material. This role will work PST and is open to remote work within the United States, though we heavily prefer candidates based in San Francisco or New York.

In this role, you will:

• Detect, investigate and disrupt abuse and harm with policy, legal, global affairs, security, and engineering teams via complex datasets.

• Develop and iterate on abuse signals and investigative methods, scaling one-off insights to reduce manual effort and expand coverage.

• Build and maintain lightweight technical solutions (e.g., SQL/ Python data pipelines, investigation templates, dashboards, or internal utilities) for investigators focused on specific harm domains.

• Develop a deep understanding of OpenAI’s products, data systems, and enforcement mechanisms, and collaborate with engineering and data teams to improve investigative tooling, data quality, and workflows.

• Communicate investigation findings effectively to internal stakeholders through written briefs, data-backed recommendations, and escalation summaries

• Rotate (in-frequently) into an incident response role that requires rapid threat triaging, investigation, mitigation, sound judgement and concise briefing to senior leadership.

• Be someone people enjoy working with.

• Proven ability to quickly learn new processes, systems and team dynamics while thriving in ambiguous, rapidly changing, and high-pressure environments.

You might thrive in this role if you:

• Have a strong background in computer science, software engineering, or a related field.
• Have experience with data analysis, machine learning, or other technical skills relevant to the role.
• Are able to work effectively in a fast-paced, dynamic environment.
• Are able to communicate complex technical information to non-technical stakeholders.
• Are able to work independently and as part of a team.
• Are able to adapt to changing priorities and deadlines.
• Are able to maintain confidentiality and handle sensitive information.
• Are able to work in a remote environment.

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What you'll do

• Work directly with the search team to understand their offerings/domain and create data science products and solutions to solve for their use cases.
• Partner with our team lead for Recommendations and Personalization to help surface uniquely personalized content to each player.
• Collaborate closely with Machine Learning Engineers and Machine Learning Operations to deploy and monitor models.
• Coach and mentor other Data Scientists and Senior Data Scientists on the team, ensuring technical best practices and guiding stakeholder communication.
• Ensure sound methodology and experimental design, and guide the direction of each project from start to finish.
• Effectively communicate data science projects and products to stakeholders, including those with non-data science backgrounds.

What you need

• 6+ years of professional experience manipulating data sets, building statistical models and productizing models along with experience applying Data Science methodologies to real-world problems.
• Strong expertise in building, deploying, and testing search algorithms.
• Experience with deep learning.
• Experienced in analyzing extremely complex, multi-dimensional data sets with a variety of tools.
• Superior verbal, visual, and written communication skills to educate and work with cross-functional teams.
• Experience using Python, SQL, Hive, PyTorch/TensorFlow, and AWS/GCP.
• Experience guiding and mentoring more junior Data Scientists.

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What you'll do

As a Product Manager, you will be responsible for Valvoline Global Operations product portfolio in Middle East Africa, including Saudi Arabia. Your main pillars of responsibility will be Product/Portfolio Costing, Product Profitability Review & Improvement, Supply Chain Optimization, and SMOG Inventory Management.

• Serve as the single point of contact for all business units relative to current costing of all portfolio items, cost changes based on supplier inputs, and cost implications of various supply chain shifts.

What you need

• Bachelor's Degree; Master of Business Administration (preferred)

• 5-7 years of experience

Why this matters

As a Product Manager, you will play a crucial role in driving increases in profitability across the portfolio. You will be the subject matter expert on portfolio supply chain within Product Strategy & Management.

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