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 will join a cross-functional Product team, Search Intelligence, which is responsible for optimizing ranking and recommendations for users visiting our website.

You'll be part of the broader Data Science team, which operates across cross-functional domain teams - giving you access to shared knowledge, best practices, and collaboration opportunities beyond your domain.

You’ll collaborate daily with Data Engineers, Analysts, Product Managers, and Back-end Engineers.

You’ll report to the Team Lead, Data Science.

Together, we turn data into actionable insights and innovative technology that powers how millions of guests find and book their perfect holiday home.

Our Tech Stack

• Python • Airflow • dbt • AWS (SageMaker, Redshift, Athena) • MLflow

The Ranking challenge at Holidu

Holidu lists over 4 million vacation rental properties. Our ranking and personalization systems determine which of them our 70+ million annual users see, directly impacting search conversion and business results.

What's live today:

• Multi-stage ranking pipeline: Reinforcement-learning-based cold ranking, contextual re-ranking, and personalized recommendations.

• Cold-start models for new properties with limited behavioral data.

• Personalized recommendations based on user browsing patterns.

Some of the hard problems we're solving:

• Multi-objective optimization: Balancing user relevance, conversion probability, and business value.

• Personalization without history: Most users are anonymous or first-time visitors.

• Cold-start: A significant share of our inventory is new each quarter. How do we surface quality properties before we have behavioral data?

Your role in this journey

You'll shape the ranking and recommendation systems that millions of guests rely on to find their holiday home. With access to extensive datasets and modern ML infrastructure, you'll work end-to-end - from identifying opportunities and prototyping new approaches to shipping models to production and measuring their impact.

• Develop high-impact models and improvements for our ranking, recommendation, and personalization systems - with the freedom to explore new, creative approaches.

• Take models from conception to production, continuously monitor their performance, and iterate to enhance accuracy and efficiency.

• Design and run A/B tests as a core part of ranking development; success is measured by successful experiments per quarter and time-to-decision.

• Collaborate closely with Product Managers and Software Engineers to identify, prioritize, and ship ranking improvements.

• Ensure model reliability in production, measured by online/offline agreement, model and data drift KPIs, latency and uptime SLAs, and automated monitoring coverage.

• Advance our MLOps practices with CI/CD pipelines, retraining workflows, lineage tracking, and documentation.

• Demonstrate leadership in data science projects by driving technical direction, scoping initiatives, and guiding the team's prioritization and project execution.

Your backpack is filled with

• 5+ years of experience as a Data Scientist, with a proven track record of applying ML models to solve real business problems.

• Experience working on ranking models or recommender systems is a strong advantage.

• A degree in Machine Learning, Computer Science, Mathematics, Physics, or a related field.

• Strong foundations in statistics, predictive modeling, and machine learning techniques, with hands-on experience using Python and SQL.

• Experience with Airflow and dbt is a plus.

• Solid understanding of business operations and the ability to translate data insights into clear, actionable outcomes.

• A collaborative mindset and enthusiasm for using data to build world-class products that make a real impact.

• AI Proficiency: You are comfortable using AI to enhance coding, planning, and monitoring. This includes successfully integrating AI tools (such as Claude code, Codex, Copilot, etc.) into your workflow and teaching others to use them efficiently.

Our adventure includes

• Impact: Shape the future of travel with products used by millions of guests and thousands of hosts. At Holidu ideas become products, data drives decisions, and iteration fuels fast learning. Your work matters - and you’ll see the impact.

• Learning: Grow professionally in a culture that thrives on curiosity and feedback. You’ll learn from outstanding colleagues, collaborate across disciplines, and benefit from mentorship, and personal learning budgets - with a strong focus on AI.

• Great People: Join a team of smart, motivated and international colleagues who challenge and support each other. We celebrate wins and keep our culture fun, ambitious and human. Our customers are guests and hosts - people we can all relate to - making work meaningful and energizing.

• Technology: Work in a modern tech environment. You’ll experience the pace of a scale-up combined with the stability of a proven business model, enabling you to build, test, and improve continuously.

• Flexibility: Work a hybrid setup with 50% in-office time for collaboration, and spend up to 8 weeks a year from other inspiring locations. You’ll stay connected through regular events and meet-ups across our almost 30 offices.

• Perks on Top: Of course, we also offer travel benefits, gym discounts, and other perks to keep you energized - but what truly sets us apart is the chance to grow in a dynamic industry, alongside amazing people, while having fun along the way.

Need a sneak peek? Check out the adventure that awaits you on Instagram @lifeatholidu and dive straight into the world of Tech at Holidu for more insights!

Want to travel with us?

Apply online on our careers page! Your first travel contact will be Lucia from HR.

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Key responsibilities include:

• Providing financial solutions and opportunities to your portfolio of clients
• Increasing wallet share of existing clients and identifying product opportunities within the business
• Conducting full needs assessments with current and potential Wealth customers and recommending appropriate banking, investment, and insurance products and services to meet individual needs, based on objectives, risk tolerance, and proper asset allocations
• Representing the Company in community organisations and activities to enhance the Company's image and maintain and grow a referral network for additional relationship opportunities while maintaining an active prospect pipeline.

As an HSBC employee, you will have access to tailored professional development opportunities to ensure you have the right skills for today and tomorrow. We offer a competitive pay and benefits package, including a robust Wellness Hub, all in a welcoming and inclusive work environment.

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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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Our team works on high-impact systems that operate at internet scale and directly influence user experience, advertiser value, and business outcomes. You'll work on complex, real-world ML problems at massive scale, and contribute to technical strategy, architecture, and long-term ML roadmap.

Responsibilities:

• Design, build, and deploy production-grade machine learning models and systems at scale
• Own the full ML lifecycle: from problem definition and feature engineering to training, evaluation, deployment, and monitoring
• Build scalable data and model pipelines with strong reliability, observability, and automated retraining
• Work with large-scale datasets to improve ranking, recommendations, search relevance, prediction, content/user understanding, and optimization systems
• Partner cross-functionally with Product, Data Science, Infrastructure, and Engineering teams to translate complex problems into ML solutions
• Improve system performance across latency, throughput, and model quality metrics
• Research and apply state-of-the-art machine learning and AI techniques, including deep learning, graph & transformers based, and LLM evaluation/alignment

Basic Qualifications:

• 3-5+ years of experience building, deploying, and operating machine learning systems in production
• Strong programming skills in Python, Java, Go, or similar languages, with solid software engineering fundamentals
• ML Fundamentals: a strong grasp of algorithms, from classic statistical learning (XGBoost, Random Forests, regressions) to DL architectures (Transformers, CNNs, GNNs)
• Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow)
• Experience designing scalable ML pipelines, data processing systems, and model serving infrastructure
• Ability to work cross-functionally and translate ambiguous product or business problems into technical solutions
• Experience improving measurable metrics through applied machine learning

Preferred Qualifications:

• Experience with recommender systems, search/ranking systems, advertising/auction systems, large-scale representation learning, or multimodal embedding systems
• Familiarity with distributed systems and large-scale data processing (Spark, Kafka, Ray, Airflow, BigQuery, Redis, etc.)
• Experience working with real-time systems and low-latency production environments
• Background in feature engineering, model optimization, and production monitoring
• Experience with LLM/Gen AI techniques, including but not limited to LLM evaluation, alignment, fine-tuning, knowledge distillation, RAG/agentic systems and productionizing LLM-powered products at scale
• Advanced degree in Computer Science, Machine Learning, or related quantitative field

Potential Teams:

• Ads Measurement Modeling
• Ads Targeting and Retrieval
• Advertiser Optimization
• Ads Marketplace Quality
• Ads Creative Effectiveness
• Ads Foundational Representations
• Ads Content Understanding
• Ads Ranking
• Feed Relevance
• Search and Answers Relevance
• ML Understanding
• Notifications Relevance

Benefits:

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave

Pay Transparency:

This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave.

To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.

The base salary range for this position is: $185,800-$260,100 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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Key responsibilities include:

• Advising, drafting, and negotiating outbound SaaS master subscription agreements, and other types of ancillary commercial documents related to the sales cycle, such as amendments, NDAs and SOWs, with a focus on large, strategic enterprise accounts, including customers in highly-regulated industries (e.g., global banking, finance, and healthcare).
• Providing day-to-day legal support and responding promptly and effectively to legal requests from sales and other internal clients.
• Partnering with revenue recognition, deal desk, sales operations, privacy and security, and other internal stakeholder teams to ensure negotiated agreements are consistent with internal Okta policies and processes.
• Building critical relationships with sales and legal colleagues and key stakeholders to effectively provide practical legal and strategic advice to assist the business in meeting its objectives.
• Advising on recommended courses of action and legal risks.
• Ability to judge when to escalate identified issues as may be necessary.
• Supporting continuous improvement of standard form legal templates, playbooks, policies and legal processes related to commercial transactions.
• Supporting go-to-market tasks and willingness to drive and contribute to other interesting legal projects, as may be required.

Requirements include:

• 7+ years of relevant transactional legal experience negotiating and drafting enterprise-level technology agreements, including SaaS subscription agreements, cloud services agreements, technology licenses, and professional services agreements, statements of work, ordering documents, NDAs, amendments and related commercial documents.
• 4+ years of in-house experience with a large technology vendor providing transactional legal support.
• Significant experience providing commercial legal support to sales teams calling on large, strategic enterprise accounts in North America, including those in highly-regulated industries (e.g., finance, banking, healthcare, etc).
• Proven track record of managing multiple complex deals with the ability to organise, prioritise deadlines and perform effectively in a fast-paced, fiscal quarter focused work environment.
• Articulate communicator with confidence advising senior sales leadership and internal stakeholders on complex commercial issues.
• Strong experience and demonstrated knowledge of the SaaS business model, revenue recognition principles, enterprise cloud computing, complex deal structures and related data privacy and security frameworks with a focus on regulated industries.
• Deal urgency and interest in supporting revenue transactions.
• Sound legal and business judgment, excellent drafting ability, and the ability to think strategically and give practical advice while appropriately weighing legal and business objectives.
• Flexible and adaptable, with an eagerness to learn and grow in a highly dynamic environment.
• Ability to work both independently and collaboratively across diverse teams.
• Personable, self-motivated team player, willing to roll up their sleeves to get work done and have fun while doing it.
• Strong academic background and J.D. from highly-regarded school, bar admission.

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Your responsibilities will include:

• Designing, building, and deploying production-grade machine learning models and systems at scale
• Owning the full ML lifecycle: from problem definition and feature engineering to training, evaluation, deployment, and monitoring
• Building scalable data and model pipelines with strong reliability, observability, and automated retraining
• Working with large-scale datasets to improve ranking, recommendations, search relevance, prediction, content/user understanding, and optimization systems
• Partnering cross-functionally with Product, Data Science, Infrastructure, and Engineering teams to translate complex problems into ML solutions

You'll work on a wide range of high-impact problems across the Reddit ecosystem, including recommender systems, search/ranking systems, advertising/auction systems, large-scale representation learning, and multimodal embedding systems.

To be successful in this role, you'll need:

• 3-5+ years of experience building, deploying, and operating machine learning systems in production
• Strong programming skills in Python, Java, Go, or similar languages, with solid software engineering fundamentals
• ML Fundamentals: a strong grasp of algorithms, from classic statistical learning (XGBoost, Random Forests, regressions) to DL architectures (Transformers, CNNs, GNNs)
• Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow)
• Experience designing scalable ML pipelines, data processing systems, and model serving infrastructure
• Ability to work cross-functionally and translate ambiguous product or business problems into technical solutions

Preferred qualifications include experience with recommender systems, search/ranking systems, advertising/auction systems, large-scale representation learning, or multimodal embedding systems, familiarity with distributed systems and large-scale data processing, and experience working with real-time systems and low-latency production environments.

At Reddit, we're committed to building a workforce representative of the diverse communities we serve. We're proud to be an equal opportunity employer and are committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures.

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We are seeking a Senior Product Manager to drive the vision and roadmap for Databricks Repos, our source control and workflow foundation that powers how data engineers, ML engineers, and analysts manage code, collaborate with teammates, and ship data and AI applications to production.

As a Senior Product Manager, you will design the end-to-end path to production experience for data and AI teams, from authoring to Git integration to CI and CD. You will define how Repos integrates with GitHub, GitLab, and Azure DevOps to support branching, pull requests, reviews, conflict resolution, and deployment workflows.

You will partner with engineers to build AI-assisted code management features such as automated code suggestions, recommended diffs, merge help, and deployment validation. You will represent the voice of the customer and translate user feedback into workflow improvements that simplify source control and release management.

You will improve developer productivity and reliability by aligning Repos with Databricks Workflows, Lakeflow, and deployment surfaces. You will help grow adoption of Databricks developer tools by working closely with solutions architects, customer success teams, and enterprise platform owners.

What we look for:

• 5+ years of experience as a Product Manager working on platform products
• Experience building developer-facing products (tools, frameworks, SDKs) with tens or hundreds of thousands of users
• Experience being a hands-on builder, must be comfortable using our own developer-facing products.

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range for this role is $156,600-$215,250 USD.

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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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We're looking for a Senior Machine Learning Engineer to join our Monetization team. As a key member of the team, you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack within Ads.

Key responsibilities include:

• Building cutting-edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
• Partnering closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search)
• Using data-driven methods and leveraging the unique properties of our data to improve candidate retrieval
• Working in a high-impact environment with quick experimentation and product launches
• Keeping up with industry trends in recommendation systems

Requirements:

• 2+ years of industry experience applying machine learning methods
• Degree in computer science, statistics, or related field; or equivalent experience
• End-to-end hands-on experience with building data processing pipelines, large-scale machine learning systems, and big data technologies
• Practical knowledge of large-scale recommender systems, or modern ads ranking, retrieval, targeting, marketplace systems

Nice to have:

• M.S. or PhD in Machine Learning or related areas
• Publications at top ML conferences
• Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring
• Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration
• Expertise in scalable real-time systems that process stream data
• Passion for applied ML and the Pinterest product
• Background in computational advertising

Relocation Statement:

This position is not eligible for relocation assistance.

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A typical day for this role will involve envisioning, championing, and supporting the development of novel ML systems, product integrations, and performance optimizations to solve real-world problems. You will lead, mentor, challenge, and grow enthusiastic, collaborative software engineers and applied scientists across the organization. You will also raise the AI/ML skillset within the organization, which requires a passion for teaching and mentoring.

To be successful in this role, you will need 12+ years of software engineering experience, with 2+ years of experience in a Principal or Senior Staff Engineer role having ownership responsibility over large-scale software systems. You should have a background in the design and development of scalable AI and ML systems and services, and a deep passion for building ML-powered products.

As a Senior Staff Machine Learning Engineer, you will be an inspiring colleague, a coach, and mentor with experience owning and fostering engineering maturity in multiple organizations. You will be a builder, and implementer, who seeks out high-impact work, and who is proactive, curious, and an excellent communicator.

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To be successful in this role, you will need to have 3+ years of experience applying ML to real-world problems, preferably in a growth or user acquisition context. You will need to have excellent communication skills and the ability to work effectively in cross-functional teams. You will need to have strong problem-solving skills and the ability to translate business requirements into technical solutions. You will need to have strong programming skills in Python and experience with PyTorch. You will need to have proficiency in data processing and analysis using tools like SQL, Spark, or Hadoop. You will need to have experience with recommendation systems, user modeling, or personalization algorithms. You will need to have familiarity with statistical analysis. You will need to have experience using AI coding assistants and agentic tools as a force-multiplier, and equally comfortable solving problems from first principles when those tools aren’t available. You will need to have a Bachelor’s/Master’s degree in a relevant field or equivalent experience.

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Carta connects founders, investors, and limited partners through world-class software, purpose-built for everyone in venture capital, private equity and private credit.

Trusted by 65,000+ companies in 160+ countries, Carta’s platform of software and services lays the groundwork so you can build, invest, and scale with confidence.

The Problems You’ll Solve

At Carta, our employees set out on a mission to unlock the power of equity ownership for more people in more places. We believe that the problems we solve today unlock the opportunities of tomorrow.

The Technical Implementation Specialist is responsible for bridging the gap between our core LPPA extraction tool engine and our clients’ downstream internal systems.

The Team You’ll Work With

You’ll be joining our Custom Integrations Team, a specialized engineering and delivery pod within the broader R&D and Implementation/delivery teams.

Our team is the critical link between our core LPPA engine and the production environments of the world’s leading Limited Partners (LPs).

About You

We are looking for a collaborative and detail-oriented lead who enjoys the challenge of turning complex data into seamless client solutions.

This involves:

• Act as the primary technical point of contact for new clients requiring custom delivery solutions.

• Analyze client downstream system requirements to draft comprehensive Functional & Technical Specification files.

• Navigating complex data mapping requirements.

• Managing secure connectivity across diverse IT infrastructures.

• Leading a technical team to deliver bespoke integration solutions in the client-required format and under tight deadlines.

• Facilitate daily stand-ups to track progress, remove blockers, and ensure alignment with the delivery roadmap.

• Perform Internal QA on custom templates (Excel, CSV, JSON) to ensure 100% accuracy against the signed-off specifications.

• Act as the first line of defense for production issues: perform initial triage and investigation of reported bugs.

Required Skills

• Technical Liaison
• Integration Architect
• Agile Delivery Lead
• Operational Driver
• Quality: You take a hands-on approach to Internal QA, ensuring 100% accuracy against signed-off specifications before any data is delivered to a stakeholder.
• First-Line Responder

Preferred Skills

• 3+ years of experience recommended in technical implementation, integration engineering, or technical project management.

Disclosures:

• We are an equal opportunity employer and are committed to providing a positive interview experience for every candidate.

• If accommodations due to a disability or medical condition are needed, please connect with the talent partner via email.

• Carta uses E-Verify in the United States for employment authorization.

• See the E-Verify and Department of Justice websites for more details.

• For information on our data privacy policies, see Privacy, CA Candidate Privacy, and Brazil Transparency Report.

• Please note that all official communications from us will come from an @carta.com or @carta-external.com domain.

Report any contact from unapproved domains to security@carta.com.

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Reporting to the Group Product Manager (Growth Acquisition), you'll lead high-impact initiatives from ideation through delivery. You'll partner closely with Engineering, Data Science, and Marketing to build and ship a roadmap of bold changes in service of creating a best-in-class user experience for current and future Pinners.

Key responsibilities include:

• Leading the product vision, strategy, and execution for performance marketing, owning outcomes for scalable, efficient growth across paid channels.
• Driving clarity, alignment, and prioritization across a broad cross-functional team in an ambiguous, complex product area with substantial impact on top-line growth.
• Influencing senior stakeholders and contributing to long-term strategy for acquisition.
• Partnering closely with Marketing, Engineering, and Data Science to build and evolve the core systems, experimentation, measurement infrastructure, and optimization tools that improve how we plan, execute, and scale paid marketing.

To succeed in this role, you'll need to demonstrate strong technical background, working knowledge of performance marketing mechanics, and strong analytical skills to define product strategy and drive decision making.

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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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Key Responsibilities:

• Drive the vision for the team, ensuring the team's work directly contributes to the company's goals
• Manage and mentor a team of Machine Learning engineers (L13 - L16), providing technical guidance and support to help them grow their careers
• Collaborate closely with other engineering teams at Pinterest to enhance the experience for users
• Provide visibility to senior leadership regarding the team's global impact
• Partner with stakeholders across the company to shape the future of the content ecosystem and personalization at Pinterest

Requirements:

• MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences, or equivalent experience
• Experience leading and working on a large-scale production recommendation, e-commerce, search, or ads systems that are based on state-of-the-art machine learning and big data technology
• Strong experience in related fields such as recommendation systems and applied machine learning experience is required
• Demonstrated ability to define and drive the strategic roadmap for scalable, production-quality systems from concept to execution
• Strong focus on product impact and user experience within a consumer-focused environment
• Minimum of 1 year of experience managing a high-performing machine learning engineering team of 10+ members
• 8+ years of experience in software development, with a proven track record of delivering impactful solutions

Nice to Have:

• Experience with Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring
• Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration

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Your primary responsibilities will include designing and driving projects in the responsible AI frontier to identify, avoid, and mitigate bias across a wide range of ML applications at Pinterest. You'll collaborate with other engineering teams to leverage their platforms and signals and work with them to collaborate on the adoption and evaluation of Responsible AI practices and ML Fairness tooling across Pinterest.

You'll also mentor junior engineers on the Responsible AI team and across the company on the R-AI space, and work with the team and senior leaders at the company to define and drive technical strategy in this area.

To be successful in this role, you'll need extensive, real-world experience applying advanced ML methods to production systems, with a strong track record in responsible technology spanning fairness, ethics, and broader societal considerations. You'll also need deep familiarity with cutting-edge ML architectures and their applications in large-scale Search and Recommender Systems.

In addition, you'll need proven ability to measure, deploy, and refine fairness interventions and broader Responsible AI solutions at scale, bridging state-of-the-art research with tangible product impact. You'll also need 4+ years working experience in the engineering teams that build large-scale ML-driven user-facing products, and 1+ years experience leading cross-team engineering efforts.

Nice to have: publications at top ML conferences, experience using AI coding assistants, familiarity with LLM-powered productivity tools, and expertise in scalable real-time systems that process stream data.

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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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As an Engineering Manager, you will set technical vision, empower a talented group of engineers, and collaborate closely with Machine Learning, Product, and Data Science to unlock better user experiences.

Key responsibilities include:

• Leading and mentoring a team of experienced machine learning engineers in developing advanced user understanding models and systems
• Collaborating cross-functionally with partners in Product, Data Science, and Engineering to define strategy, set priorities, and effectively integrate user insights into core systems and product features
• Driving experimentation and adoption of new user understanding models with product teams across Pinterest, ensuring measurable end-to-end impact on key metrics
• Managing project execution and stakeholder communication, including roadmap planning, technical decision-making, risk mitigation, and progress updates to achieve business goals
• Providing thought leadership in user modeling and recommender systems by setting a long-term technical vision and advancing the state-of-the-art in the field
• Fostering a collaborative, inclusive, and high-performing team culture

Requirements include:

• 6+ years of industry experience in applied machine learning or closely related roles, with experience developing large-scale machine learning for recommendation or ads systems
• 2+ years of people management experience leading engineering teams
• Demonstrated ML expertise with a proven track record of impactful solutions and a deep understanding of large scale distributed systems
• Strong technical leadership, including a passion for driving technical direction, system architecture, and designing robust, scalable ML solutions

Nice to have:

• Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring
• Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration

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At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love. We're looking for a technical leader and engineering manager to help lead the search backend team.

The search backend team is responsible for major areas of the search engine, including indexing and document ranking, query and content understanding, personalization, ML based retrieval, shopping, videos, as well as infrastructure efficiency and scalability. The team also works on innovative applications of NLP and Vision Models, and other techniques to drive query recommendations, multimodal search, agentic search, multimodal query understanding, and query based module generation and ranking.

Responsibilities

• Lead the search backend team to develop and maintain a scalable and efficient search engine
• Collaborate with other engineering teams to bring superior search experience to users
• Drive the vision for the team and provide visibility for senior leadership into the team's global impact
• Partner with stakeholders to expand impact across the company
• Mentor and grow managers, leaders and engineers on the team

Requirements

• Experience leading and working on a large-scale production search, recommendation or ads systems
• Applied machine learning experience is strongly preferred
• Ability to drive the roadmap and directions of scalable production quality systems end-to-end
• A knack for product and impact on users of a consumer product
• 3+ years of experience in leading/managing a highly impactful ML-based engineering team of 5+ size; 7+ years of software development experience
• Bachelors degree in computer science or related technical field, or equivalent experience
• Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring
• Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration

In-Office Requirement Statement

We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.

Relocation Statement

This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

#LI-REMOTE #LI-DM57

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You'll define the installation standards, configuration baselines, and deployment processes that the broader team executes against , from access control migrations and intercom replacements to AI analytics onboarding and new application integrations. You'll work across InfoSec, IT, Networking, and Identity Management to ensure every security application passes review, integrates with SSO, and is supported within Anthropic's infrastructure before going live. Your work will directly determine whether Anthropic's security technology stack scales reliably as the company grows from dozens of locations to a global enterprise footprint.

Responsibilities:

• Validate and deploy new and replacement security technology platforms including access control systems, intercom solutions, video management, visitor management, and AI/analytics tools across all Anthropic locations

• Build and maintain staging environments for pre-production testing and validation of all security applications, hardware, firmware, and system configurations

• Define installation standards, configuration baselines, licensing structures, update procedures, and maintenance requirements for every deployed security platform

• Deploy integrations between security applications, validating that platforms communicate and share data correctly before transitioning to production

• Support colleagues' security applications through InfoSec review processes, ensuring new tools meet Anthropic's information security and compliance requirements

• Coordinate SSO integration for newly deployed security applications with Identity Management and IT teams

• Transition applications requiring custom integration or data pipeline development to the IT Engineering team with documented technical requirements for roadmap inclusion

• Initiate onboarding of deployed hardware and systems into Anthropic's health monitoring platform to ensure operational visibility from day one

• Develop standardized deployment playbooks, checklists, configuration templates, and handoff documentation that enable repeatable installations across all current and future sites

• Evaluate security platforms for scalability, identifying capacity constraints, single points of failure, and architectural limitations before they impact operations at scale

• Coordinate with Networking, IT Infrastructure, and Facilities teams to ensure all infrastructure prerequisites (network, power, rack space, cloud resources) are met prior to deployment

• Execute structured handoffs to Project Management (for site programming), Break-Fix Support (for maintenance), and Access Control Administration (for ongoing system management), ensuring each team has the standards and documentation to execute independently

Requirements:

• 5+ years of hands-on experience deploying, validating, and managing enterprise physical security technology across a large or rapidly growing organization

• Experience working across InfoSec, IT, Networking, and Identity Management teams to onboard and integrate security applications into enterprise environments

• Strong technical communication skills, with the ability to define standards clearly enough that PMs, integrators, and service teams execute against them without ambiguity

• Experience with IP networking, VLANs, PoE, and infrastructure requirements for security devices

• Comfortable with 25% travel for site deployments, commissioning, and validation

Preferred Qualifications:

• Previous experience at a hyper-growth technology company or managing security technology programs for high-profile corporate environments

• Experience with Anthropic's specific technology stack: Genetec Security Center, Axis cameras, Wavelynx, Commend Symphony Cloud, Alcatraz.ai, Ambient.ai, SureView, Envoy

• Industry certifications: Genetec, Axis, CCNA, PSP, CPP, or PMP

• Experience with OSDP, modern credential technologies, and encryption protocols for physical security systems

• Familiarity with scripting or automation (Python, PowerShell) for configuration management and deployment automation

• Experience with health monitoring and observability platforms

• Experience with change management, configuration control, and version-controlled infrastructure documentation

Salary Range: $175,000-$220,000 USD

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You will own the product roadmap for AI platform areas, defining what we build, why, and in what order, to accelerate customer adoption of AI and ML in production. You will drive strategy for key AI platform capabilities, shaping how enterprises operationalize AI at scale.

You will partner closely with engineering teams to make deeply technical decisions about ML infrastructure, from distributed training architectures to real-time serving systems. You will represent the voice of the customer by engaging directly with enterprise ML teams, translating their pain points and workflows into platform capabilities that simplify the path to production AI.

You will collaborate with GTM, Solutions Architecture, and Customer Success teams to drive enterprise adoption, shape field enablement, and inform competitive positioning. You will define pricing, packaging, and commercialization strategy for AI platform features, working with business teams to maximize value capture.

You will grow end-user engagement with Databricks AI tools by identifying adoption bottlenecks and partnering cross-functionally to remove them.

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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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Our team is responsible for building systems that operate at internet scale and directly influence user experience, advertiser value, and business outcomes. You will work on high-impact systems that improve ranking, recommendations, search relevance, prediction, content/user understanding, and optimization systems.

As a Senior Machine Learning Engineer, you will:

• Design, build, and deploy production-grade machine learning models and systems at scale
• Own the full ML lifecycle: from problem definition and feature engineering to training, evaluation, deployment, and monitoring
• Build scalable data and model pipelines with strong reliability, observability, and automated retraining
• Work with large-scale datasets to improve ranking, recommendations, search relevance, prediction, content/user understanding, and optimization systems
• Partner cross-functionally with Product, Data Science, Infrastructure, and Engineering teams to translate complex problems into ML solutions
• Improve system performance across latency, throughput, and model quality metrics
• Research and apply state-of-the-art machine learning and AI techniques, including deep learning, graph & transformers based, and LLM evaluation/alignment

Basic Qualifications:

• 3-5+ years of experience building, deploying, and operating machine learning systems in production
• Strong programming skills in Python, Java, Go, or similar languages, with solid software engineering fundamentals
• ML Fundamentals: a strong grasp of algorithms, from classic statistical learning (XGBoost, Random Forests, regressions) to DL architectures (Transformers, CNNs, GNNs)
• Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow)
• Experience designing scalable ML pipelines, data processing systems, and model serving infrastructure
• Ability to work cross-functionally and translate ambiguous product or business problems into technical solutions
• Experience improving measurable metrics through applied machine learning

Preferred Qualifications:

• Experience with recommender systems, search/ranking systems, advertising/auction systems, large-scale representation learning, or multimodal embedding systems
• Familiarity with distributed systems and large-scale data processing (Spark, Kafka, Ray, Airflow, BigQuery, Redis, etc.)
• Experience working with real-time systems and low-latency production environments
• Background in feature engineering, model optimization, and production monitoring
• Experience with LLM/Gen AI techniques, including but not limited to LLM evaluation, alignment, fine-tuning, knowledge distillation, RAG/agentic systems and productionizing LLM-powered products at scale
• Advanced degree in Computer Science, Machine Learning, or related quantitative field

Potential Teams:

• Ads Measurement Modeling
• Ads Targeting and Retrieval
• Advertiser Optimization
• Ads Marketplace Quality
• Ads Creative Effectiveness
• Ads Foundational Representations
• Ads Content Understanding
• Ads Ranking
• Feed Relevance
• Search and Answers Relevance
• ML Understanding
• Notifications Relevance

Benefits:

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave

Pay Transparency:

This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/. To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is $216,700-$303,400 USD

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You'll work at the intersection of advanced AI development and real-world impact, enhancing the ability to connect users with relevant content, accounts, and experiences.

Responsibilities:

• Designing and architecting recommendation algorithms across various product surfaces

• Leveraging all of xAI's infrastructure and AI stacks to dramatically enhance the user experience

• Writing data pipelines and training jobs that continuously learn from product data

• Iterating and improving the algorithm by gathering user feedback in real time through experimentation

• Ensuring scalability and efficiency of machine learning systems

Basic Qualifications:

• Knowledge of data infrastructure like Kafka, Clickhouse, and Spark

• Experienced in implementing recommender systems and/or deep learning applications at industrial scale

• Skilled in one or more DL software frameworks such as JAX or PyTorch

• Exceptional candidates may be experienced in writing CUDA kernels

Compensation and Benefits:

$180,000 - $440,000 USD

Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.

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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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As a Staff Software Engineer for Search Quality, you will drive the technical direction of ranking, relevance, evaluation, and quality initiatives across Databricks' next-generation Search product. You'll design and build the systems, models, and evaluation frameworks that ensure our Search stack delivers accurate, high-quality results across diverse multimodal datasets and query patterns.

The impact you will have:

• Lead the technical vision for Search Quality, shaping the ranking architecture, relevance modeling stack, and evaluation systems that power Databricks' next-generation retrieval experiences.

• Identify and solve challenges in ranking, query understanding, and hybrid retrieval , advancing state-of-the-art techniques in vector, keyword, and multimodal search.

• Design and train production-ready ranking and reranking models with strong guarantees around quality, latency, and resource efficiency.

• Partner closely with research, product, and infra teams to define metrics, evaluation methodologies, and experimentation strategies for new retrieval features and model architectures.

• Drive end-to-end engineering efforts , from early prototyping to production rollout , ensuring correctness, reliability, and measurable improvements to relevance.

• Build and operate resilient, low-latency services for ranking, evaluation, and relevance signal processing.

• Champion excellence in ML and search engineering, mentoring teammates and elevating design, code quality, and scientific rigor across the team.

• Shape Databricks' long-term roadmap for retrieval quality, ranking infrastructure, and the foundations for retrieval-driven AI products.

What we look for:

• 10+ years of experience building large-scale search, ranking, recommendation, or ML-driven relevance systems.

• Deep expertise in Search Quality, including ranking models, signals, query understanding, and evaluation methodologies.

• Strong understanding of relevance metrics and evaluation frameworks.

• Familiarity with vector search, keyword search, hybrid retrieval, and embedding-based semantic retrieval.

• Solid foundation in algorithms, data structures, and system design for performance-critical ranking and retrieval systems.

• Proven ability to deliver high-impact technical initiatives with clear business or product outcomes.

• Strong communication skills and ability to collaborate across teams in fast-moving environments.

• Strategic and product-oriented mindset with the ability to align technical execution with long-term vision.

• Passion for mentoring, growing engineers, and fostering technical excellence.

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About the Team: Anduril employs a variety of networks and networking infrastructures to support global operations. Information Systems Security Managers are in charge of directly supporting business lines that wish to deploy Anduril products in classified environments.

About the Job: As an Information Systems Security Manager, you will be responsible for providing expertise in documenting security controls to reduce the administrative cost of deploying Anduril's products into operational environments. You will partner with program and security teams to coordinate security artifacts in support of classified deployments. You will apply technology standards from the commercial space in classified, air-gapped environments.

Responsibilities:

• Provide expertise in documenting security controls to reduce the administrative cost of deploying Anduril's products into operational environments.
• Partner with program and security teams to coordinate security artifacts in support of classified deployments.
• Apply technology standards from the commercial space in classified, air-gapped environments.
• Collaborate with Information System Owners to understand key stakeholders' needs and provide complex technical solutions to meet contractual obligations.
• Tailor NIST 800-53 controls to determine applicability to the network environment and oversee the implementation of Continuous Monitoring for respective programs.
• Define, document, and conduct security scanning on Anduril's products and accredited information systems.
• Scope, shape, and orchestrate the development of features to ensure products meet compliance goals.

Required Qualifications:

• Design, develop, and implement secure systems and networks per NIST RMF, JSIG, and other industry standards.
• Integrate security best practices into Anduril's Software Development Lifecycle (SDLC) and infrastructure design, collaborating with internal IT and engineering teams.
• Conduct security risk assessments, vulnerability assessments, and audits to identify and mitigate threats.
• Recommend and implement security solutions, such as IDS/IPS, encryption protocols, and secure communications technologies.
• Develop and enforce access controls, encryption strategies, and other technical measures to safeguard systems.
• Maintain and update System Security Plans (SSPs), POA&Ms, and other accreditation documentation.

Preferred Qualifications:

• Experience with application security paradigms such as Static Application Security Testing (SAST), Dynamic Application Security Testing (DAST), and Software Composition Analysis (SCA).
• Proven experience in securing micro-services architecture, including implementing best practices and compliance with DoD cybersecurity standards.
• Experience with cybersecurity in unmanned and ground control system within DoD environments.
• Experience with containerization and kubernetes along with the best practices for securing them.
• Experience with Cloud Service Providers (CSPs) and the various tools they offer for implementing security and compliance best practices.

Salary: The salary range for this role is $146,000-$194,000 USD.

Benefits: Anduril offers top-tier benefits for full-time employees, including comprehensive medical, dental, and vision plans at little to no cost to you. Anduril also offers income protection, generous time off, family planning and parenting support, mental health resources, professional development, commuter benefits, relocation assistance, and a retirement savings plan.

Protecting Yourself from Recruitment Scams: Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information.

To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:

• No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates.
• Please always verify communications:
• Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address.
• Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com.
• Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not respond or engage with the sender.

XML job scraping automation by YubHub

You will join a team that ships products used by thousands of the world's most sophisticated data and AI organizations. You will drive the vision and roadmap for AI platform product areas and define how customers build, train, deploy, and monitor AI and ML systems on Databricks. You will collaborate across engineering teams to deliver an integrated and powerful path from experimentation to production.

The impact you will have:

• Own the product roadmap for AI platform areas , defining what we build, why, and in what order , to accelerate customer adoption of AI and ML in production.
• Drive strategy for key AI platform capabilities, shaping how enterprises operationalize AI at scale.
• Partner closely with engineering teams to make deeply technical decisions about ML infrastructure , from distributed training architectures to real-time serving systems.
• Represent the voice of the customer by engaging directly with enterprise ML teams, translating their pain points and workflows into platform capabilities that simplify the path to production AI.
• Collaborate with GTM, Solutions Architecture, and Customer Success teams to drive enterprise adoption, shape field enablement, and inform competitive positioning.
• Define pricing, packaging, and commercialization strategy for AI platform features, working with business teams to maximize value capture.
• Grow end-user engagement with Databricks AI tools by identifying adoption bottlenecks and partnering cross-functionally to remove them.

XML job scraping automation by YubHub

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.

XML job scraping automation by YubHub

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.

XML job scraping automation by YubHub

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.

XML job scraping automation by YubHub

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.

XML job scraping automation by YubHub

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.

XML job scraping automation by YubHub

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.

XML job scraping automation by YubHub

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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At Synopsys, interns dive into real-world projects, gaining hands-on experience while collaborating with our passionate teams worldwide,and having fun in the process! You'll have the freedom to share your ideas, unleash your creativity, and explore your interests. This is your opportunity to bring your solutions to life and work with cutting-edge technology that shapes not only the future of innovation but also your own career path.

Deploy and configure security tools for Software Composition Analysis (SCA), Static Application Security Testing (SAST), and Dynamic Application Security Testing (DAST), including project onboarding, configuration, and policy management.

Integrate security controls into CI/CD pipelines, such as quality gates, reporting mechanisms, and threshold management, to ensure early vulnerability detection.

Automate the collection, normalization, and publication of security results using dashboards, artifacts, and notifications.

Implement and manage dependency updates with tools like Dependabot and Renovate, including automated pull requests and update strategies.

Contribute to documentation (integration guides, best practices) while collaborating with development and infrastructure teams to improve the developer experience.

Participate in the analysis, prioritization, and tracking of security findings and remediation efforts.

Currently pursuing a Master’s degree or equivalent in cybersecurity, software engineering, DevOps/Cloud, or a related field.

Comfortable working in both Windows and Linux environments.

Understanding of CI/CD concepts and a keen interest in DevSecOps practices.

Experience with programming/scripting languages such as Python, Bash, Go, or Rust is a plus.

Familiarity with build and tooling systems (e.g., Bazel, Docker) and SDLC tools (e.g., Mend, Dependabot, Renovate).

Autonomy, attention to detail, strong problem-solving skills, and effective communication for collaboration within multidisciplinary teams.

Fluent/Professional English

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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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The Subscriptions Mission builds and evolves Spotify's subscription products and marketplace experiences to drive sustainable user and revenue growth globally. We focus on awareness, acquisition, activation, retention, and monetization strategies that help users unlock the full value of Spotify while enabling the business to scale efficiently and responsibly.

User Understanding sits within Subscriptions and focuses on building the intelligence layer that makes our growth efforts smarter,through decisioning, data signals, and ML models that power personalization across surfaces and lifecycle moments. You'll work at the intersection of machine learning innovation and commercial strategy, partnering closely with ML engineers, data scientists, data platform teams, product insights, and business stakeholders to shape high-impact growth initiatives.

Responsibilities

• Define the strategy and roadmap for key subscriber growth initiatives, focusing on applying AI/ML in the right places balancing business goals, ROI and technical feasibility
• Deeply understand business metrics and user behaviour, leading to well-researched hypotheses for testing and future AI/ML development
• Lead end-to-end product development from problem definition through system deployment and adoption, working across research, engineering, and business teams
• Drive experimentation programs that rigorously test ML-powered features against baselines, making data-informed decisions about when to scale AI-driven experiences
• Collaborate with engineers and data scientists on technical decisions to drive innovation and impact
• Build products at scale that impact hundreds of millions of users across diverse markets, considering localization, infrastructure constraints, and varying user contexts
• Stay current with AI and ML technology trends, looking for opportunities to match with key business objectives

Requirements

• 5+ years product management experience with proven track record launching ML/data-driven products at scale
• Strong technical fluency in data science, recommender systems, machine learning concepts, model evaluation, A/B testing, and data pipelines. You can review and challenge technical decisions.
• Strategic judgment about when to apply ML vs. GenAI vs. other tools and you understand the cost-benefit tradeoffs of complex systems
• Understand subscription business and e-commerce fundamentals in consumer products
• Excellent communication skills, able to collaborate cross-functionally and communicate complex ideas to stakeholders at all levels

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Responsibilities:

• Work closely with product, program, and business leaders to develop a long-term vision and execute on sales systems strategy that scales seller motions.
• Adapt prioritization and staffing decisions as the team, business, and user demands progress.
• Design and build delightful Stripe-facing tooling and business-critical services to support sales channel infrastructure.
• Ensure our infrastructure is extensible, scalable, reliable, and meets SLAs for both external and internal users.
• Improve engineering standards, tooling, and processes.
• Build, lead, and manage a high-performing team of engineers.

Requirements:

• 10+ years of software engineering experience, including at least 3+ years of management experience.
• Organizational leadership experience, including experience collaborating with executive leadership.
• Experience proactively seeking feedback from users, business leaders, and subject matter experts.
• Excellent verbal and written communication.
• Support the engineering team in achieving a high level of technical quality, reliability, and ease-of-use.
• Manage processes to help the team do its best work and engage effectively with the rest of Stripe.
• Recruit great engineers, in collaboration with Stripe's recruiting team.
• Develop engineers on the team, helping them advance in their careers.
• Contribute to engineering-wide initiatives as a member of Stripe's engineering management team.
• Collaborate with stakeholders across engineering to provide a wonderful user experience.

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Founded by British makeup artist and beauty entrepreneur Charlotte Tilbury MBE in 2013, Charlotte Tilbury Beauty has revolutionised the face of the global beauty industry.

The AI & ML Engineering team accelerates the adoption of AI across the business, championing innovation while ensuring our machine learning products are robust, scalable, and cost-efficient.

Responsibilities:

Partner with stakeholders to scope problems and identify the right solution - whether leveraging existing AI tools or building custom workflows & solutions.

Design and implement agentic systems using techniques spanning RAG, grounding, prompt engineering, and orchestration on a GCP-first stack.

Build and maintain production ML pipelines and services for non-GenAI use cases (e.g. recommender systems, customer segmentation models, marketing optimisation modules, leveraging supervised, unsupervised and/or econometric modelling approaches).

Develop APIs and microservices for AI/ML solutions, ensuring security, scalability, and observability.

Implement CI/CD for ML services, writing infrastructure as code, and monitoring for model/data drift and performance.

Establish robust guardrails for safe AI usage, including prompt security, practical evaluation frameworks, and compliance with privacy regulations.

Drive and evangelize best practices, reusable templates, and documentation to scale AI/ML delivery across the business.

Collaborate with data engineers, data scientists, front & back-end engineers, product managers, legal & infosec colleagues to deliver impactful solutions end-to-end.

Who you will work with

The AI & ML Engineer Lead and the wider data team.

About you

The role requires a blend of technical depth and product sense, including:

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

Strong Python engineering skills (FastAPI, testing, typing) and experience with cloud-native development (GCP preferred).

Hands-on experience with GCP Vertex AI (model endpoints, pipelines, embeddings, vector search) or equivalent cloud-native ML platforms (e.g. AWS SageMaker, Azure ML) and agent orchestration frameworks such as LangChain and LangGraph.

Solid understanding of MLOps - CI/CD, IaC (Terraform), experiment tracking, model registry, and monitoring.

Proven experience deploying and operating ML systems in production (batch and real-time).

Familiarity with RAG architectures, prompt engineering, and evaluation techniques.

Strong grasp of security, privacy, and governance principles (IAM, secrets, PII handling).

Excellent communication skills and ability to work with non-technical stakeholders.

In addition to the above, we would LOVE if you have:

Experience with vector databases and retrieval strategies.

Knowledge of recommender systems and ranking models.

Familiarity with LLM evaluation tools (e.g., RAGAS, TruLens, LangSmith, Arize).

Exposure to feature stores, data lineage, and observability stacks.

Experience in e-commerce or retail environments.

Demonstrable ability to weigh up build/build/configure decisions in the LLM space.

Why join us?

Be a part of this values driven, high growth, magical journey with an ultimate vision to empower everyone, everywhere to be the best version of themselves.

We’re a hybrid model with flexibility, allowing you to work how best suits you.

25 days holiday (plus bank holidays) with an additional day to celebrate your birthday.

Inclusive parental leave policy that supports all parents and carers throughout their parenting and caring journey.

Financial security and planning with our pension and life assurance for all.

Wellness and social benefits including Medicash, Employee Assist Programs and regular social connects with colleagues.

Bring your furry friend to work with you on our allocated dog friendly days and spaces.

And not to forget our generous product discount and gifting!

At Charlotte Tilbury Beauty, our mission is to empower everybody in the world to be the most beautiful version of themselves.

We celebrate and support this by encouraging and hiring people with diverse backgrounds, cultures, voices, beliefs, and perspectives into our growing global workforce.

By doing so, we better serve our communities, customers, employees - and the candidates that take part in our recruitment process.

If you want to learn more about life at Charlotte Tilbury Beauty please follow our LinkedIn page!

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You will analyze full-funnel customer journeys across web, marketing, and CRM touchpoints, leveraging modern analytics platforms, cloud data warehouses, and A/B testing. The ideal candidate thrives in close collaboration with marketing, webstore, product, and engineering teams.

Responsibilities:

• Leverage CDP and first-party data to build customer segments, cohorts, and lifecycle views, partnering with marketing and CRM teams to support audience activation, personalization, and campaign optimization.
• Conduct in-depth analysis of website traffic, user behavior, and eCommerce performance to identify trends, opportunities, and risks across the full customer funnel.
• Ideate, support, and analyze A/B and multivariate experiments, defining success metrics, interpreting results with statistical rigor, and recommending next steps based on business impact.
• Collaborate with cross-functional teams (marketing, webstore, product, and engineering) to develop and execute data-driven strategies for web and eCommerce initiatives.
• Define and document event tracking and measurement requirements aligned with business objectives, ensuring accurate and scalable data collection.
• Monitor and report on the effectiveness of promotional activities, marketing initiatives, and website performance, translating results into actionable insights.
• Build and maintain automated dashboards and self-service reporting, communicating insights through clear narratives, visualizations, and executive-ready summaries that proactively surface opportunities and risks.

Requirements:

• 3+ years of experience in Commerce, web, or digital analytics
• Bachelor’s degree in Data Science, Statistics, Economics, Business Information Systems, or a related field.
• Proven experience analyzing consumer-facing digital products or eCommerce platforms.
• Strong understanding of eCommerce KPIs, digital marketing metrics, and customer lifecycle measurement.
• Must have hands-on experience with SQL, cloud data warehouse (e.g Snowflake), GA4, CDP (such as mParticle).
• Experience working with large, complex, and multi-source datasets.
• Excellent data visualization skills (Looker Studio, PowerBi) and ability to communicate complex insights effectively.
• Strong attention to detail and ability to manage multiple projects simultaneously.

Nice to have:

• Experience with AI-assisted analytics, forecasting, or anomaly detection.
• Knowledge of product analytics, personalization, or recommendation systems.
• Exposure to server-side tracking, event schemas, and data contracts.
• Experience working in global or multi-region eCommerce environments.
• AI-ecommerce experience

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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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We are seeking a highly skilled and experienced Oracle Recruitment Cloud professional to join a team driving large-scale Human Capital Management (HCM) cloud transformation initiatives.

In this role, you will be part of a team focusing on HCM innovation and NextGen HR Hire to Retire in pursuit of enabling world-class workforce operations and experiences. You will guide our clients through HR Transformation, leveraging HR technology to create an impact on business outcomes.

More specifically, the responsibilities of this role include the following areas of expertise:

Deep understanding of Oracle Recruiting Cloud modules and workflows

Familiarity with Oracle Fusion Cloud Human Capital Management (HCM) and its integration points Understanding of Talent Management and Global HR modules

Experience with cloud-based HR systems and integration tools Knowledge of data migration and reporting tools like Oracle BI Publisher or OTBI

Strong grasp of end-to-end recruitment processes, compliance, and best practices Collaboration with stakeholders across the business functions to define requirements and ensure alignment with strategic goals Driving continuous improvement and innovation in recruitment processes through technology Contribute to practice development and pre-sales activities to further develop our service offerings, proposals and go-to-market initiatives. Lead teams, fostering an environment of continuous learning and growth.

About You

We are looking for a professional with robust consulting background or business and/or corporate experience in Oracle Recruitment Cloud implementations, HR Cloud Advisory and Hire-to-Retire HXM Technologies. The ideal candidate should be able to demonstrate experience and knowledge in at least one of the following areas:

Have a broad business skill set including stakeholder management, problem-solving, and resilience Have experience in gathering, validating, synthesizing, documenting, and communicating data and information for a range of audiences Have excellent interpersonal skills and strong written and verbal communication skills in country’s official language(s) (C2 proficiency) and English (C2 proficiency), project-related mobility/willingness to travel In-depth knowledge and ability to design and optimize HR Operating Models Ability for conducting HR & HR IT workshops and subsequently creating recommendation reports, thought leadership and transformation roadmaps. Strong facilitation, communication, and problem-solving abilities. Demonstrable experience in developing proposals and offerings, either for internal or external clients.

To qualify for the role, you must have:

Proven track record in delivering HCM cloud transformation programmes (minimum 5 years). Strong understanding of digital transformation principles and best practices. In-depth understanding of Oracle Recruitment Cloud UK Public Sector experience Excellent stakeholder management and communication skills. Experience in agile and waterfall delivery methodologies. Relevant certifications in HCM platforms (preferred)

Given that this is just a short snapshot of the role we encourage you to apply even if you don't meet all the requirements listed above. We are looking for team members who strive to make an impact and are eager to learn. If this sounds like you and you feel you have the skills and experience required, then please apply now.

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We have an exciting opportunity to join Go.Compare's Performance Marketing team as a PPC Executive, working within our dedicated PPC team. This role is ideal for someone looking to grow their PPC career, supporting the delivery of impactful campaigns in a fast-paced environment while making a tangible impact on business performance.

Key Responsibilities:

• Support the delivery of PPC Account strategies, assisting with execution and day-to-day performance management to help meet targets and business objectives.
• Contribute to bid strategy optimisation, ensuring campaigns are set up and adjusted to drive results.
• Assist with planning and running A/B tests, helping to optimise account performance and share learnings.
• Work closely with stakeholders across the business, providing updates on account performance, competitor activity, and upcoming tests.
• Keep up to date with Paid Search developments, including new tools, trends, and AI innovations, and share relevant findings with the team.
• Help create and optimise PPC audience segments to improve targeting and campaign effectiveness.
• Support reporting by turning performance data into clear, useful insights that can be shared with commercial teams to aid decision-making.

Experience that will put you ahead of the curve:

• Hands on experience in PPC, with experience managing and optimising multiple accounts.
• Proven ability to contribute to ROI targets while supporting revenue and profit growth.
• Experience working on PPC projects in fast-paced environments, collaborating with both internal and external stakeholders.
• Solid experience with Google Ads and Microsoft Ads, with strong platform knowledge.
• Familiarity with A/B testing and key PPC metrics such as auction insights, quality score, ROI, and optimisation score.
• Ability to analyse data, identify trends, and make recommendations to improve performance.
• Google Ads and Microsoft Ads accredited.
• Proficiency in Google Sheets or Excel; Looker Studio, GA4, and SA360 experience is a bonus.

What's in it for you

The expected salary range for this role is £24,000 - £31,000. This is a Hybrid role from our Cardiff Office, working three days from the office, two from home. You will also receive a range of great perks, including uncapped leave, a share of profits with a bonus, and wellbeing support with access to our Colleague Assistant Programmes.

Who are we

We're Go.Compare, part of Future PLC. We pride ourselves on being a fun but fair place to work, with flexible hours and plenty of perks, thanks to the Future community teams' hard work making sure each team member is treated equally. We only collaborate with organisations we can rely on, so we've built up a huge network of trusted partners. We're also authorised and regulated by the Financial Conduct Authority.

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At Valvoline Global Operations, we're proud to be The Original Motor Oil, but we've never rested on being first. Founded in 1866, we introduced the world's first branded motor oil, staking our claim as a pioneer in the automotive and industrial solutions industry.

Job Purpose

The Senior Technology Manager - Middle East & Africa leads all technical services and customer technical support activities across the Middle East & Africa region with a particular focus on KSA. Reporting directly to the Global Technical Services & Field-Testing Director, this role is a key member of the MEA Management Team and serves as point of contact between the MEA region and Global R&D.

How You Make an Impact (Job Accountabilities)

Technical Leadership & Coordination

• Lead and oversee all technical service and support activities across MEA.
• Build and coach the regional technical services team.
• Act as the primary interface with Global R&D. Provide leadership updates to Management Team.

Cross-Functional Collaboration

• Partner with Sales, Marketing, Product Strategy, and R&D to support product launches, business development, and go-to-market strategies.
• Deliver technical insights and ensure transparent reporting to regional and global leadership.

Key Customers & OEM Support

• Provide executive oversight on technical support to OEMs, distributors, fleets, and industrial clients.
• Personally manage strategic customers where required. Coach the team on technical proposals, oil analysis, training, and troubleshooting.

Field Testing & Product Validation

• Direct regional field trials, ensuring rigorous planning, monitoring, and execution.
• Oversee data acquisition and analysis with R&D to support approvals and product improvement.

Complaints Handling

• Lead resolution of high-impact customer complaints through structured root cause analysis.
• Collaborate with quality and supply chain to prevent recurrence.

Product recommendation / market insights

• Provide market intelligence to Global R&D and Marketing.
• Translate customer needs and competitor insights into product recommendations.

Manage technical CVPs / Services

• Oversee development of technical customer value propositions and service offerings.
• Manage oil analysis programs and condition monitoring systems.

HSSE Leadership & Coaching

• Ensure a strong safety culture by coaching the technical services team on health, safety, security, and environmental compliance. Actively monitor adherence to regulations and corporate HSSE standards.

Training & Knowledge Development

• Design and oversee regional training plans for internal staff and external stakeholders. Lead execution of technical seminars, customer events, product launches, and internal enablement sessions. Ensure training programs align with commercial growth objectives.

What You Bring to the Role (Job Qualifications / Education / Skills / Requirements / Capabilities)

• Bachelor’s degree in mechanical engineering or related field required, Master’s preferred.
• Proficiency in Arabic and English required.
• 10+ years in technical services, lubricants, or related industries, with at least 5 years in a leadership role.
• Proven track record in field testing, complaint handling, and customer technical engagement across multiple countries.
• CLS (Certified Lubrication Specialist) or equivalent desirable.

Competencies Desired

Candidates with the following will be given preferential consideration:

• Strong leadership and team-building skills.
• Technical depth in lubricants and mechanical systems.
• Skilled in managing field trials and analyzing performance data.
• Strategic mindset with commercial acumen.
• Strong stakeholder management and communication skills.
• Commitment to safety and compliance.

Working Conditions / Physical Requirements / Travel Requirements

• _Working Conditions / Physical Requirements_: Office setting
• _Travel Requirements_: up to 30% including international travel across MEA

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We are seeking a highly skilled Data Scientist III to join our EADP Gameplay Services team. As a Data Scientist III, you will play a key role in analysing complex matchmaking datasets to identify patterns, trends, and opportunities that drive data-informed business decisions.

We Are EA

Our platform powers online features for EA’s games, serving millions of users each day. We live, breathe, and dream about how we can make every player’s multiplayer experience memorable. We develop services and SDKs in collaboration with EA’s game studios for matchmaking, stats and leaderboards, achievements, game replays, VOIP, and game networking.

Opportunity Ahead

Our primary mission is to enrich the player’s gaming experience by meticulously optimising the matchmaking process. We believe that effective matchmaking is the cornerstone of any successful multiplayer gaming experience, and we are committed to perfecting this aspect of our service. We continuously reflect and probe various elements to ensure the player’s gaming encounters are both fun and challenging

Key Responsibilities

• Analyse complex matchmaking datasets to identify patterns, trends, and opportunities that drive data-informed business decisions.
• Perform data exploration, mining, and feature engineering to create high-quality datasets for model development.
• Ensure data integrity and governance through robust validation, preprocessing, and quality assurance processes.
• Own model lifecycle including retraining, validation, performance monitoring, and scalability improvement.
• Define experimentation strategy (A/B testing, causal inference) and measure impact on core gameplay KPIs
• Partner with product, business, and engineering to identify new data acquisition opportunities.
• Create reusable analytical tools, libraries, and metrics that enable data-driven decisions.
• Collaborate with data engineers and software engineer across teams to serve their data needs.
• Evangelise data as a first-class citizen through documentation, standards, and reviews.

Must Have Skills

• Bachelor’s or master’s degree in computer science, Data Science, AI/ML, Statistics, or a related field (or equivalent professional experience)
• 5+ years of experience in data science, analytics, or ML engineering with a strong record of deploying scalable ML solutions.
• Solid understanding of statistical modelling, including probability distributions, regression analysis, and hypothesis testing.
• Strong understanding of experimentation design and A/B testing frameworks
• Expert proficiency in Python frameworks (PyTorch, Scikit-learn).
• Experience with model monitoring and drift detection
• Experience in handling large-scale and high-dimensional datasets using distributed data processing tools (Spark, Snowflake, Databricks).
• Strong communication skills with the ability to translate complex models into business impact.

Desirable Skills

• Experience in gaming analytics or player behaviour modelling
• Experience building recommendation or ranking systems
• Experience with cloud platforms (AWS/GCP/Azure)

What’s in it for you? Glad you asked!

We love to brag about our great perks like Global fitness program, Sodexo (Food Coupons), Parental Insurance & Medical, Accident & life insurance and since we realise it takes world-class people to make world-class games, we offer competitive compensation packages and a culture that thrives off creativity and individuality. At EA, we live the “work hard/play hard” credo every day.

_About Electronic Arts_

We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth.

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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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As we expand our personalization and messaging capabilities, we are looking for a foundational member of our growing team. The Offsite Recommendations Strategist owns the activation, performance, and revenue growth of our AI-powered email recommendations offering. This is a revenue-generating, client-facing role with incentive-based compensation.

You will serve as a strategic partner to retail and e-commerce clients, helping them design, launch, and scale high-performing recommendation-driven email programs across promotional, triggered, and lifecycle messaging. From first deployment through long-term expansion, you will guide customers in using intelligent recommendations to drive measurable gains in engagement, conversion, and lifetime value.

What You’ll Do

• Own onboarding and activation for offsite recommendations, partnering with Sales, Account Management, Customer Success, Solutions, and Marketing teams.
• Guide clients through ESP integrations, feed setup, and recommendation placement in email templates.
• Advise on high-impact email use cases including:
• Promotional campaigns
• Browse & cart abandonment
• Post-purchase and replenishment
• Lifecycle and retention programs
• Serve as the subject-matter expert on email personalization and recommendations.
• Analyze performance and provide data-driven recommendations to improve CTR, conversion, AOV, revenue per send, and LTV.
• Own revenue growth across a portfolio of customers through upsell, expansion, and new use cases.
• Act as the voice of the customer, influencing product roadmap and go-to-market strategy.

Requirements

• 1-3 years of hands-on email or lifecycle marketing experience, ideally in e-commerce or retail.
• 3-5+ years of client-facing experience in sales, account management, customer success, or account strategy
• Strong understanding of:
• ESPs and email ecosystems
• Segmentation, personalization, and lifecycle strategy
• Campaign vs. triggered messaging
• Testing and performance measurement
• Experience working with AI-driven personalization or recommendation systems.
• Proven ability to translate data into insights and business impact.
• Client-facing experience with a consultative, growth-oriented mindset.
• Track record of driving or influencing revenue growth from existing customers.
• Excellent communication skills and comfort working with both operators and executives.

Benefits

• Unlimited vacation time
• A competitive compensation package including stock options
• Fully remote team
• Work from home stipend
• Apple laptops provided for new employees
• Training and development budget for every employee, refreshed each year
• Parental leave for qualified employees
• Work with smart people who will help you grow and make a meaningful impact

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The Personalization team, within the Machine Learning Chapter and Engineering Department, plays a central role in implementing algorithms that utilize personalization signals to optimize for business KPIs like revenue & conversions.

You will work closely with engineers and product managers to define success, uncover insights, and influence roadmap decisions through data. Your work will help shape innovative user experiences that drive business KPIs, interpret user behavior, and drive product and algorithm improvements.

Challenges you will tackle

• Understand Shopper Behavior: Investigate how product changes affect user behavior and conversion metrics. Use SQL, Python, and Spark to uncover usage patterns, anomalies, and opportunities for optimization.
• Design & Validate Metrics: Define new metrics to measure personalization, and model performance. Ensure metrics align with user experience and business goals through rigorous validation.
• Build Analytics Infrastructure: Create scalable dashboards and reporting tools for product, engineering, and leadership teams. Develop debugging tools to explain ranking decisions and identify performance issues.
• Drive Data-Informed Decisions: Partner cross-functionally to design experiments, validate hypotheses, and communicate insights that directly influence product roadmap and ML strategy.

Requirements

• 3+ years analyzing complex experiments and extracting actionable insights from large, noisy datasets. Experience with statistical testing and practical experiment design.
• Write optimized SQL queries for terabyte-scale data extraction and transformation. Proficiency with distributed systems like Spark for large-scale data processing.
• Strong skills in exploratory analysis and building internal tools. Experience with data science libraries and automation.
• Understanding of ML pipelines, training data quality, and ranking/recommendation metrics. Familiarity with search relevance and personalization concepts.
• Design metrics that accurately reflect model and product performance. Ensure alignment between technical metrics and business outcomes.
• Create compelling dashboards using Tableau, Looker, or custom dashboards in Python. Present complex findings clearly to both technical and executive audiences.
• Influence product and engineering decisions through data storytelling. Collaborate effectively across teams to drive ML and product improvements.
• Deep curiosity about user behavior and business impact. Connect algorithm changes to real-world customer outcomes.

Benefits

• Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year
• Fully remote team - choose where you live
• Work from home stipend! We want you to have the resources you need to set up your home office
• Apple laptops provided for new employees
• Training and development budget for every employee, refreshed each year
• Maternity & Paternity leave for qualified employees
• Base salary: $80k–$120k USD, depending on knowledge, skills, experience, and interview results
• Stock options - offered in addition to the base salary
• 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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About the Team

We build foundational AI infrastructure that enables large-scale training and inference across diverse workloads and rapidly evolving hardware generations. Our work directly shapes how AI systems are designed, deployed, and scaled today and into the future. Engineers on this team operate with end-to-end ownership, deep technical rigor, and a strong bias toward real-world impact.

Microsoft Superintelligence Team

Microsoft Superintelligence team’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

This role is part of Microsoft AI’s Superintelligence Team. The MAIST is a startup-like team inside Microsoft AI, created to push the boundaries of AI toward Humanist Superintelligence—ultra-capable systems that remain controllable, safety-aligned, and anchored to human values. Our mission is to create AI that amplifies human potential while ensuring humanity remains firmly in control. We aim to deliver breakthroughs that benefit society—advancing science, education, and global well-being. We’re also fortunate to partner with incredible product teams giving our models the chance to reach billions of users and create immense positive impact. If you’re a brilliant, highly-ambitious and low ego individual, you’ll fit right in—come and join us as we work on our next generation of models!

Responsibilities

Lead the co-design of AI systems across hardware and software boundaries, spanning accelerators, interconnects, memory systems, storage, runtimes, and distributed training/inference frameworks. Drive architectural decisions by analyzing real workloads, identifying bottlenecks across compute, communication, and data movement, and translating findings into actionable system and hardware requirements. Co-design and optimize parallelism strategies, execution models, and distributed algorithms to improve scalability, utilization, reliability, and cost efficiency of large-scale AI systems. Develop and evaluate what-if performance models to project system behavior under future workloads, model architectures, and hardware generations, providing early guidance to hardware and platform roadmaps. Partner with compiler, kernel, and runtime teams to unlock the full performance of current and next-generation accelerators, including custom kernels, scheduling strategies, and memory optimizations. Influence and guide AI hardware design at system and silicon levels, including accelerator microarchitecture, interconnect topology, memory hierarchy, and system integration trade-offs. Lead cross-functional efforts to prototype, validate, and productionize high-impact co-design ideas, working across infrastructure, hardware, and product teams. Mentor senior engineers and researchers, set technical direction, and raise the overall bar for systems rigor, performance engineering, and co-design thinking across the organization.

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We pursue this mission through deep hardware–software co-design, combining rigorous systems thinking with hands-on engineering. The team invests heavily in understanding real production workloads large-scale training, inference, and emerging multimodal models and translating those insights into concrete improvements across the stack: from kernels, runtimes, and distributed systems, all the way down to silicon-level trade-offs and datacenter-scale architectures.

This role sits at the boundary between exploration and production. You will work closely with internal infrastructure, hardware, compiler, and product teams, as well as external partners across the hardware and systems ecosystem. Our operating model emphasizes rapid ideation and prototyping, followed by disciplined execution to drive high-leverage ideas into production systems that operate at massive scale.

In addition to delivering real-world impact on large-scale AI platforms, the team actively contributes to the broader research and engineering community. Our work aligns closely with leading communities in ML systems, distributed systems, computer architecture, and high-performance computing, and we regularly publish, prototype, and open-source impactful technologies where appropriate.

Microsoft Superintelligence Team Microsoft Superintelligence team’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

This role is part of Microsoft AI’s Superintelligence Team. The MAIST is a startup-like team inside Microsoft AI, created to push the boundaries of AI toward Humanist Superintelligence—ultra-capable systems that remain controllable, safety-aligned, and anchored to human values. Our mission is to create AI that amplifies human potential while ensuring humanity remains firmly in control. We aim to deliver breakthroughs that benefit society—advancing science, education, and global well-being. We’re also fortunate to partner with incredible product teams giving our models the chance to reach billions of users and create immense positive impact.

Responsibilities Lead the co-design of AI systems across hardware and software boundaries, spanning accelerators, interconnects, memory systems, storage, runtimes, and distributed training/inference frameworks.

Drive architectural decisions by analyzing real workloads, identifying bottlenecks across compute, communication, and data movement, and translating findings into actionable system and hardware requirements.

Co-design and optimize parallelism strategies, execution models, and distributed algorithms to improve scalability, utilization, reliability, and cost efficiency of large-scale AI systems.

Develop and evaluate what-if performance models to project system behavior under future workloads, model architectures, and hardware generations, providing early guidance to hardware and platform roadmaps.

Partner with compiler, kernel, and runtime teams to unlock the full performance of current and next-generation accelerators, including custom kernels, scheduling strategies, and memory optimizations.

Influence and guide AI hardware design at system and silicon levels, including accelerator microarchitecture, interconnect topology, memory hierarchy, and system integration trade-offs.

Lead cross-functional efforts to prototype, validate, and productionize high-impact co-design ideas, working across infrastructure, hardware, and product teams.

Mentor senior engineers and researchers, set technical direction, and raise the overall bar for systems rigor, performance engineering, and co-design thinking across the organization.

Qualifications Bachelor’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Additional or Preferred Qualifications Master’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor’s Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Strong background in one or more of the following areas: AI accelerator or GPU architectures Distributed systems and large-scale AI training/inference High-performance computing (HPC) and collective communications ML systems, runtimes, or compilers Performance modeling, benchmarking, and systems analysis Hardware–software co-design for AI workloads Proficiency in systems-level programming (e.g., C/C++, CUDA, Python) and performance-critical software development.

Proven ability to work across organizational boundaries and influence technical decisions involving multiple stakeholders. Experience designing or operating large-scale AI clusters for training or inference. Deep familiarity with LLMs, multimodal models, or recommendation systems, and their systems-level implications. Experience with accelerator interconnects and communication stacks (e.g., NCCL, MPI, RDMA, high-speed Ethernet or InfiniBand). Background in performance modeling and capacity planning for future hardware generations. Prior experience contributing to or leading hardware roadmaps, silicon bring-up, or platform architecture reviews. Publications, patents, or open-source contributions in systems, architecture, or ML systems are a plus.

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As part of Anthropic's Global Safety, Intelligence, and Security (GSIS) team, the Security Technology Deployment Specialist will own the validation, standardization, and deployment of physical security technology across Anthropic's rapidly expanding global office portfolio.

You'll define the installation standards, configuration baselines, and deployment processes that the broader team executes against — from access control migrations and intercom replacements to AI analytics onboarding and new application integrations. You'll work across InfoSec, IT, Networking, and Identity Management to ensure every security application passes review, integrates with SSO, and is supported within Anthropic's infrastructure before going live.

Responsibilities:

• Validate and deploy new and replacement security technology platforms including access control systems, intercom solutions, video management, visitor management, and AI/analytics tools across all Anthropic locations
• Build and maintain staging environments for pre-production testing and validation of all security applications, hardware, firmware, and system configurations
• Define installation standards, configuration baselines, licensing structures, update procedures, and maintenance requirements for every deployed security platform
• Deploy integrations between security applications, validating that platforms communicate and share data correctly before transitioning to production
• Support colleagues' security applications through InfoSec review processes, ensuring new tools meet Anthropic's information security and compliance requirements
• Coordinate SSO integration for newly deployed security applications with Identity Management and IT teams
• Transition applications requiring custom integration or data pipeline development to the IT Engineering team with documented technical requirements for roadmap inclusion
• Initiate onboarding of deployed hardware and systems into Anthropic's health monitoring platform to ensure operational visibility from day one
• Develop standardized deployment playbooks, checklists, configuration templates, and handoff documentation that enable repeatable installations across all current and future sites
• Evaluate security platforms for scalability, identifying capacity constraints, single points of failure, and architectural limitations before they impact operations at scale
• Coordinate with Networking, IT Infrastructure, and Facilities teams to ensure all infrastructure prerequisites (network, power, rack space, cloud resources) are met prior to deployment
• Execute structured handoffs to Project Management (for site programming), Break-Fix Support (for maintenance), and Access Control Administration (for ongoing system management), ensuring each team has the standards and documentation to execute independently

You may be a good fit if you:

• Have 5+ years of hands-on experience deploying, validating, and managing enterprise physical security technology across a large or rapidly growing organisation
• Have deployed security technology across 50 or more sites, or have demonstrated experience in a high-growth environment where deployment velocity and repeatability were essential
• Have built standardized deployment processes, playbooks, and configuration templates that enabled others to execute installations independently and consistently
• Have experience working across InfoSec, IT, Networking, and Identity Management teams to onboard and integrate security applications into enterprise environments
• Have supported SSO integration, InfoSec reviews, and enterprise application onboarding workflows for security tools
• Possess broad technology experience across access control, video management, intercoms, visitor management, AI/analytics, and alarm monitoring platforms
• Are a strong technical communicator who can define standards clearly enough that PMs, integrators, and service teams execute against them without ambiguity
• Have experience with IP networking, VLANs, PoE, and infrastructure requirements for security devices
• Are comfortable with 25% travel for site deployments, commissioning, and validation

Strong candidates may have:

• Previous experience at a hyper-growth technology company or managing security technology programs for high-profile corporate environments
• Experience with Anthropic's specific technology stack: Genetec Security Center, Axis cameras, Wavelynx, Commend Symphony Cloud, Alcatraz.ai, Ambient.ai, SureView, Envoy
• Industry certifications: Genetec, Axis, CCNA, PSP, CPP, or PMP
• Experience with OSDP, modern credential technologies, and encryption protocols for physical security systems
• Familiarity with scripting or automation (Python, PowerShell) for configuration management and deployment automation
• Experience with health monitoring and observability platforms
• Experience with change management, configuration control, and version-controlled infrastructure documentation

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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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Location

San Francisco

Employment Type

Full time

Department

Scaling

Compensation

• $295K – $380K • 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.

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.

About the Team

The Kernels team at OpenAI builds the low-level software that accelerates our most ambitious AI research.

We work at the boundary of hardware and software, developing high-performance kernels, distributed system optimizations, and runtime improvements to make large-scale training and inference more efficient.

Our work enables OpenAI to push the limits by ensuring models - from LLMs to recommender systems - to run reliably on advanced supercomputing platforms. That includes adapting our software stack to new types of accelerators, tuning system performance end-to-end, and removing bottlenecks across every layer of the stack.

About the Role

On the Accelerators team, you will help OpenAI evaluate and bring up new compute platforms that can support large-scale AI training and inference.

Your work will range from prototyping system software on new accelerators to enabling performance optimizations across our AI workloads.

You’ll work across the stack, collaborating with both hardware and software aspects - working on kernels, sharding strategies, scaling across distributed systems, and performance modeling.

You'll help adapt OpenAI's software stack to non-traditional hardware and drive efficiency improvements in core AI workloads. This is not a compiler-focused role, rather bridging ML algorithms with system performance - especially at scale.

In this role, you will:

• Prototype and enable OpenAI's AI software stack on new, exploratory accelerator platforms.

• Optimize large-scale model performance (LLMs, recommender systems, distributed AI workloads) for diverse hardware environments.

• Develop kernels, sharding mechanisms, and system scaling strategies tailored to emerging accelerators.

• Collaborate on optimizations at the model code level (e.g. PyTorch) and below to enhance performance on non-traditional hardware.

Perform system-level performance modeling, debug bottlenecks, and drive end-to-end optimization.

• Work with hardware teams and vendors to evaluate alternatives to existing platforms and adapt the software stack to their architectures.

• Contribute to runtime improvements, compute/communication overlapping, and scaling efforts for frontier AI workloads.

You might thrive in this role if you have:

• 3+ years of experience working on AI infrastructure, including kernels, systems, or hardware-software co-design

• Hands-on experience with accelerator platforms for AI at data center scale (e.g., TPUs, custom silicon, exploratory architectures).

• Strong understanding of kernels, sharding, runtime systems, or distributed scaling techniques.

• Familiarity with optimizing LLMs, CNNs, or recommender models for hardware efficiency.

• Experience with performance modeling, system debugging, and software stack adaptation for novel architectures.

• Exposure to mobile accelerators is welcome, but experience enabling data center-scale AI hardware is preferred.

• Ability to operate across multiple levels of the stack, rapidly prototype solutions, and navigate ambiguity in early hardware bring-up phases

• Interest in shaping the future of AI compute through exploration of alternatives to mainstream accelerators.

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Research Engineer, Notifications

Location

San Francisco

Employment Type

Full time

Department

Applied AI

Compensation

• $295K – $680K • 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

The ChatGPT team works across research, engineering, product, and design to bring OpenAI’s technology to the world.

We seek to learn from deployment and broadly distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. We aim to make our innovative tools globally accessible, transcending geographic, economic, or platform barriers. Our commitment is to facilitate the use of AI to enhance lives, fostered by rigorous insights into how people use our products.

About the Role

We are looking for a Machine Learning Engineer to join our Notifications team, focused on building and scaling intelligent notification systems that provide real value to users even when they are not actively on the product. This role will be central to shaping how ChatGPT communicates proactively and helpfully with users—surfacing the right content, at the right time, through the right channel.

You will work on designing and implementing ranking and recommendation systems that leverage both classical ML techniques and large language models (LLMs) to optimize notification relevance, timeliness, and user experience. The ideal candidate has strong ML fundamentals, experience shipping ranking or recommendation systems in production, exposure to LLMs, and sharp product intuition. You should be comfortable operating across research and product boundaries: thinking from first principles, running rigorous experiments, and building scalable systems.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

• Design and build end-to-end ranking and recommendation systems for notifications, from modeling to evaluation and deployment.

• Apply and adapt LLMs to ranking problems, including prompt-based approaches and fine-tuning.

• Develop experiments to evaluate notification relevance, user value, and long-term impact, working closely with product, data science, and engineering teams.

• Collaborate with research teams to leverage the latest modeling techniques while balancing practical constraints of production systems.

• Build robust offline and online evaluations to measure system improvements and user outcomes.

• Contribute to the broader Growth ML stack and help set technical direction for intelligent user engagement systems.

You might thrive in this role if you:

• Have hands-on experience building and deploying ranking, recommendation, or personalization systems at scale.

• Have a deep understanding of machine learning and its applications, with exposure to LLMs and their integration into product experiences.

• Are experienced in experimentation, A/B testing, and analyzing impact on user behavior and business metrics.

• Are comfortable diving into large ML codebases, designing evaluations, and debugging complex modeling issues.

• Thrive in dynamic, fast-changing environments and can think from first principles to design elegant solutions.

• Have strong product intuition and can balance modeling sophistication with product impact.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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R&D - Toronto, Ontario (Hybrid)

What we’re doing

We’re building the AI-powered coaching platform that transforms how gamers learn, compete, and win. Backed by a16z and $12M in funding, we’re live in 5 titles with 100K+ users, expanding rapidly into new games, hardware partnerships, and SDK integrations.

You’ll Thrive Here If…

• You’re energized by ambiguity and move fast to bring clarity where others stall.
• You get a rush from finding the simple, elegant solution to a messy, complex problem.
• You think like a GM//always asking how a product choice impacts revenue, growth, and user success.
• You’re creative at problem solving — able to structure messy problems, build frameworks, and beat ambiguity with clear, actionable paths forward.

Some things you’ll do

• User discovery & insights
• Embed yourself into gamer communities (Reddit, Discord, conferences) to surface real user needs and trends.
• Talk to users, run surveys, and synthesize feedback into actionable insights.
• Translate customer problems & business goals into clear, prioritized product requirements.
• Analyze product usage patterns (SQL, Mixpanel) and connect insights directly to business outcomes.

• Data-driven decision-making
• Define success metrics, own dashboards/funnels/experiment readouts, and deliver decision-ready insights.
• Size and scope opportunities using product data, market sizing, and an 80/20 lens to de-risk decisions quickly.
• Identify opportunities to double down, design/run experiments (A/B tests, pilots), and present clear recommendations.

• Product strategy & execution support
• Surface & scope opportunities — investigate market pain points, partner with leadership on shaping strategy, then translate direction into scopes, specs, and cross-team execution.
• Write scopes/specs, manage JIRA, and keep initiatives moving smoothly across Design/Eng/Marketing
• Support launch plans, onboarding flows, rollout processes, and usage monitoring.
• Connect product metrics to conversion, activation, retention, and revenue

Skills You’ll Bring

• Product & business foundation
• 2+ years of PM experience at a product-driven tech company, owning meaningful product surface area (B2C a plus)
• 1+ years experience in a fast-paced, analytical role (e.g., chief of staff, bizops, VC/PE, banking, consulting, or growth-focused roles at a high-growth tech company)

• Analytical & strategic
• Strong ability to structure ambiguous problems, form hypotheses, design/interpret experiments, and make data-driven decisions
• GM-like mindset with awareness of how product connects to revenue, growth models, pricing, and go-to-market

• Execution & product sense
• Nice to have - Shipped AI-powered products or features (LLMs, recommendation engines, intelligent automation)
• Ability to deconstruct visions into clear, actionable roadmaps that align with company objectives

• Mindset & communication
• Ownership-first, bias-to-action, thrives in early-stage/high-urgency environments
• Deep user empathy, first-principles thinker, obsessed with simple, elegant solutions
• Excellent communicator who can turn chaos into clarity and align stakeholders

You WILL NOT enjoy this role if

• You need a rigid playbook or lots of hand-holding — this is a fast-moving startup with shifting priorities.
• You avoid digging into data or SQL, being data informed is core to this role.
• You prefer long research cycles over shipping quickly and iterating.
• You’re uncomfortable making decisions with incomplete information.
• You aren’t naturally hyper-organized you’ll be expected to keep metrics, JIRA, specs, and experiments tidy and up-to-date so the team can move fast.
• You don’t play video games

Link to This Job

Location

Toronto, Ontario (Hybrid)

Department

R&D

Employment Type

Full-Time

Minimum Experience

Entry-level

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R&D - St. John's, Newfoundland and Labrador (Hybrid)

What we’re doing

We’re building the AI-powered coaching platform that transforms how gamers learn, compete, and win. Backed by a16z and $12M in funding, we’re live in 5 titles with 100K+ users, expanding rapidly into new games, hardware partnerships, and SDK integrations.

You’ll Thrive Here If…

• You’re energized by ambiguity and move fast to bring clarity where others stall.
• You get a rush from finding the simple, elegant solution to a messy, complex problem.
• You think like a GM//always asking how a product choice impacts revenue, growth, and user success.
• You’re creative at problem solving — able to structure messy problems, build frameworks, and beat ambiguity with clear, actionable paths forward.

Some things you’ll do

• User discovery & insights
• Embed yourself into gamer communities (Reddit, Discord, conferences) to surface real user needs and trends.
• Talk to users, run surveys, and synthesize feedback into actionable insights.
• Translate customer problems & business goals into clear, prioritized product requirements.
• Analyze product usage patterns (SQL, Mixpanel) and connect insights directly to business outcomes.

• Data-driven decision-making
• Define success metrics, own dashboards/funnels/experiment readouts, and deliver decision-ready insights.
• Size and scope opportunities using product data, market sizing, and an 80/20 lens to de-risk decisions quickly.
• Identify opportunities to double down, design/run experiments (A/B tests, pilots), and present clear recommendations.

• Product strategy & execution support
• Surface & scope opportunities — investigate market pain points, partner with leadership on shaping strategy, then translate direction into scopes, specs, and cross-team execution.
• Write scopes/specs, manage JIRA, and keep initiatives moving smoothly across Design/Eng/Marketing
• Support launch plans, onboarding flows, rollout processes, and usage monitoring.
• Connect product metrics to conversion, activation, retention, and revenue

Skills You’ll Bring

• Product & business foundation
• 2+ years of PM experience at a product-driven tech company, owning meaningful product surface area (B2C a plus)
• 2+ years in investment banking, strategy consulting, or a similar analytical/business role

• Analytical & strategic
• Strong ability to structure ambiguous problems, form hypotheses, design/interpret experiments, and make data-driven decisions
• GM-like mindset with awareness of how product connects to revenue, growth models, pricing, and go-to-market

• Execution & product sense
• Nice to have - Shipped AI-powered products or features (LLMs, recommendation engines, intelligent automation)
• Ability to deconstruct visions into clear, actionable roadmaps that align with company objectives

• Mindset & communication
• Ownership-first, bias-to-action, thrives in early-stage/high-urgency environments
• Deep user empathy, first-principles thinker, obsessed with simple, elegant solutions
• Excellent communicator who can turn chaos into clarity and align stakeholders

You WILL NOT enjoy this role if

• You need a rigid playbook or lots of hand-holding — this is a fast-moving startup with shifting priorities.
• You avoid digging into data or SQL, being data informed is core to this role.
• You prefer long research cycles over shipping quickly and iterating.
• You’re uncomfortable making decisions with incomplete information.
• You aren’t naturally hyper-organized you’ll be expected to keep metrics, JIRA, specs, and experiments tidy and up-to-date so the team can move fast.
• You don’t play video games

Link to This Job

Location

St. John’s, Newfoundland and Labrador (Hybrid)

Department

R&D

Employment Type

Full-Time

Minimum Experience

Entry-level

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San Mateo, CA, United States

Early Career

ID: 5471

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators.

At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device.

We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there.

A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone.

Recommendation Systems are a key growth lever at Roblox, driving retention, engagement, and monetization for hundreds of millions of users. This role offers the unique opportunity to redefine how users search and discover everything from the most interesting immersive experiences and digital avatars in our Marketplace to personalized advertising. You will solve a diverse range of high-scale ranking, retrieval, and personalization problems across our platform.

We combine cutting-edge research —including deep learning, generative AI, and reinforcement learning techniques— with large-scale engineering to bridge experimentation and production; you'll design algorithms that operate at massive scale and shape the next generation of recommender systems for user-generated content.

Teams Hiring for This Role

• Search: powers major recommendation surfaces—drives user engagement by redesigning core surfaces and search/homepage ranking

• Notifications: owns the distributed systems and ML platform that transform billions of Roblox signals into high‑value notifications for hundreds of millions of players.

• Economy: builds the ML backbone for marketplace, monetization, and commerce (including fraud, pricing, and bundling)

• Ads & Brands: focuses on ranking, retrieval, and marketplace/auction theory to optimize sponsored content delivery.

• Safety, Alt Defense: architects a massive-scale detection engine that identifies recidivist bad actors across billions of accounts to ensure the long-term integrity of the Roblox community.

You Will

• Design and implement large-scale recommendation systems that power discovery across Roblox’s surfaces — experiences, avatars, and creator content.

• Develop deep learning models for ranking, retrieval, and personalization using approaches in multimodal models, LLMs, and generative AI.

• Collaborate with applied researchers, engineers, and product teams to advance experimentation and accelerate innovation.

• Translate research into production systems that impact hundreds of millions of daily active users.

• Work backward from user and product needs to deliver ML solutions that drive engagement, retention, and ecosystem growth.

You Have

• Possessing or pursuing a PhD in computer science, engineering, or a related field, with a thesis aligned to Roblox’s research areas.

• Expertise in one or more areas: recommender systems, search systems, information retrieval, or generative models (e.g., LLMs, VLMs, VLAs)

• Ability to design and architect systems for efficient personalization and user interest modeling using advanced attention mechanisms (e.g., sparse/linear attention).

• A strong research track record, evidenced by multiple publications and presentations in top-tier, peer-reviewed venues (e.g., SIGIR, KDD, RecSys, ICLR, ICML, NeurIPS)

• Proficiency in one or more programming languages (e.g., Python, C++, Go, Java) and experience building and optimizing large-scale systems.

You may redact age, date of birth, and dates of attendance/graduation from your resume if you prefer.

As you apply, you can find more information about our process by signing up for Speak\_. You'll gain access to our practice assessment, comprehensive guides, FAQs, and modules designed to help you ace the hiring process.

For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page.

Annual Salary Range

$195,780—$242,100 USD

Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted).

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Microsoft AI are looking for a talented Principal Applied Scientist at their Mountain View office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI-powered quality understanding and recommendation systems.

About the Role

As a Principal Applied Scientist, you'll lead the science behind Discover's ranking and content-quality stack, combining LLMs, multimodal models, and large-scale recommender systems to drive measurable gains in engagement, satisfaction, and trust. You will set technical direction, mentor a high-caliber science cohort, and partner closely with engineering, PM, UXR, and policy to ship end-to-end outcomes.

Accountabilities

• Lead content-quality understanding at scale.
• Advance the recommendation & ranking stack.
• Own evaluation and experimentation.
• Champion safety & trust.
• Scale E2E ML systems.
• Mentor & influence.
• Stay close to users.

The Candidate we're looking for

Experience:

• 6+ years related experience (e.g., statistics, predictive analytics, research).

Technical skills:

• Expertise with LLMs (prompting, finetuning, RAG), multimodal modeling, and retrieval-augmented recommendation; familiarity with counterfactual learning and multi-objective optimization.

Personal attributes:

• Demonstrated ability to lead cross-disciplinary efforts (PM, ENG, UXR, editorial/policy) from idea to shipped impact; mentoring scientists and setting technical vision.

Benefits

• Competitive salary.
• Comprehensive benefits package.
• Opportunities for professional growth and development.
• Collaborative and dynamic work environment.

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Microsoft are looking for a talented Senior Applied Scientist at their Suzhou office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising the AI and cloud computing space. You'll work directly with leadership to shape the company's direction in the global market.

About the Role

As a Senior Applied Scientist focusing on recommender systems, you will play an important role in contributing to the development and optimization of our online services and offline pipelines within our content ecosystem to achieve product and business growth goals. Your primary responsibilities will include algorithm development and enhancement for ranking algorithms in News & Feeds, working with cross-functional teams to design, develop, and implement recommendation algorithms to deliver product features and drive user engagement.

Accountabilities

• Conduct in-depth market research across AI and cloud computing sectors, identifying emerging trends, competitive threats, and partnership opportunities that directly inform the company's quarterly strategic planning sessions
• Optimize existing recommendation algorithms by analyzing performance metrics and user feedback, incorporating advanced machine learning techniques including generative AI techniques

The Candidate we're looking for

Experience:

• Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research)

Technical skills:

• Python programming
• Experience in languages such as C# or C++ considered a plus

Personal attributes:

• Proven problem-solving abilities and a track record of thriving in fast-paced, collaborative environments
• Excellent communication and teamwork skills, with the ability to clearly articulate complex technical concepts to a variety of audiences

Benefits

• Competitive salary
• Comprehensive benefits package
• Opportunities for professional growth and development
• Collaborative and dynamic work environment

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Microsoft are looking for a talented Senior Software Engineer at their Redmond office. This role sits at the heart of building cutting-edge solutions for document understanding on a web scale. You'll work with some of the largest datasets, lead projects end-to-end, and collaborate across teams to deliver real-world impact.

About the Role

The Web Data Platform (WDP) is the data foundation of Bing and many Microsoft experiences, powering Bing Search, ads, Copilot, Grounding API to 1P and 3P scenarios, deep research, LLM training, etc. Our mission is to deliver the world's freshest, richest, and clean semantic understanding of the web document representation. Our work is central to understanding public web content and advancing the platform's capabilities in tandem with state-of-the-art modeling. As part of our team, you'll work with large-scale machine learning and large language models (LLMs) to understand and enrich web content, fueling critical Microsoft experiences and advancing the frontier of AI.

Accountabilities

• Collaborates with appropriate stakeholders to determine user requirements for a scenario.
• Drives identification of dependencies and the development of design documents for a product, application, service, or platform.
• Creates, implements, optimizes, debugs, refactors, and reuses code to establish and improve performance and maintainability, effectiveness, and return on investment (ROI).

The Candidate we're looking for

Experience:

• 4+ years technical engineering experience with coding in languages including, but not limited to, C++, C#, Java, JavaScript, or Python.

Technical skills:

• Familiarity with modern machine learning techniques, architectures, and model optimization strategies.
• Experience working on search and recommendation systems.

Personal attributes:

• Strategic thinker with a proven ability to deliver impactful, real-world results.
• Demonstrated ability to communicate effectively and collaborate across cross-functional teams.

Benefits

• Competitive salary.
• Comprehensive benefits package.
• Opportunities for professional growth and development.
• Collaborative and dynamic work environment.

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Microsoft AI are looking for a talented and experienced Machine Learning Engineer to join our Growth team and help shape the next generation of AI systems, specifically for our personal AI assistant, Copilot.

About the Role

As a Machine Learning Engineer on our Growth team, you will design, develop, and implement machine learning models for high-performance recommendation systems and personalized feeds. You will leverage large language models (LLMs) to create scalable, intelligent solutions for content understanding, user engagement, and relevance ranking. You will drive data-driven experimentation using A/B testing, advanced analytics, and statistical techniques to identify growth opportunities and refine algorithms. You will develop and optimize pipelines, tools, and infrastructure to support real-time decision-making, personalization, and predictive analytics.

Accountabilities

• Develop and Deploy Models: Design, develop, and implement machine learning models for high-performance recommendation systems and personalized feeds.
• Large Language Model Expertise: Leverage large language models (LLMs) to create scalable, intelligent solutions for content understanding, user engagement, and relevance ranking.
• Experimentation and Analysis: Drive data-driven experimentation using A/B testing, advanced analytics, and statistical techniques to identify growth opportunities and refine algorithms.
• Infrastructure Optimization: Develop and optimize pipelines, tools, and infrastructure to support real-time decision-making, personalization, and predictive analytics.

The Candidate we're looking for

Experience:

• 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.

Technical skills:

• Strong coding skills in Python and experience with ML frameworks (e.g., PyTorch, TensorFlow).
• Familiarity with data processing tools (e.g., Spark, Pandas) and cloud platforms (e.g., Azure, AWS).

Personal attributes:

• Strong problem-solving skills and the ability to independently design solutions to complex challenges.
• Excellent communication skills, with the ability to influence technical and non-technical audiences.

Benefits

• Competitive salary range: $119,800 - $234,700 per year.
• Comprehensive benefits package, including health insurance, retirement plan, and paid time off.
• Opportunities for professional growth and development.
• Collaborative and dynamic work environment.

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Microsoft AI are looking for a talented Senior Applied Scientist at their Vancouver office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI technology. You'll work directly with leadership to shape the company's direction in the AI market.

About the Role

As a Senior Applied Scientist, you'll lead the science behind Discover's ranking and content-quality stack, combining LLMs, multimodal models, and large-scale recommender systems to drive measurable gains in engagement, satisfaction, and trust. You will set technical direction, mentor a high-caliber science cohort, and partner closely with engineering, PM, UXR, and policy to ship end-to-end outcomes.

Accountabilities

• Lead content-quality understanding at scale.
• Advance the recommendation & ranking stack.
• Own evaluation and experimentation.
• Champion safety & trust.
• Scale E2E ML systems.
• Mentor & influence.
• Stay close to users.

The Candidate we're looking for

Experience:

• 4+ years related experience (e.g., statistics predictive analytics, research).

Technical skills:

• Expertise with LLMs (prompting, RAG, Parameter-Efficient Fine-Tuning), multimodal modeling, and retrieval-augmented recommendation.
• Familiarity with counterfactual learning and multi-objective optimization.

Personal attributes:

• Strong communication and collaboration skills.
• Ability to work in a fast-paced environment.

Benefits

• Competitive salary.
• Comprehensive benefits package.
• Opportunities for professional growth and development.

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Microsoft AI are looking for a talented Principal Applied Scientist at their Redmond office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI-powered quality understanding and recommendation systems.

About the Role

As a Principal Applied Scientist, you'll lead the science behind Discover's ranking and content-quality stack, combining LLMs, multimodal models, and large-scale recommender systems to drive measurable gains in engagement, satisfaction, and trust. You will set technical direction, mentor a high-caliber science cohort, and partner closely with engineering, PM, UXR, and policy to ship end-to-end outcomes.

Accountabilities

• Lead content-quality understanding at scale.
• Advance the recommendation & ranking stack.
• Own evaluation and experimentation.
• Champion safety & trust.
• Scale E2E ML systems.
• Mentor & influence.
• Stay close to users.

The Candidate we're looking for

Experience:

• Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.

Technical skills:

• Expertise with LLMs (prompting, finetuning, RAG), multimodal modeling, and retrieval-augmented recommendation; familiarity with counterfactual learning and multi-objective optimization.

Personal attributes:

• Demonstrated ability to lead cross-disciplinary efforts (PM, ENG, UXR, editorial/policy) from idea to shipped impact; mentoring scientists and setting technical vision.

Benefits

• Competitive salary and benefits package.
• Opportunities for professional growth and development.
• Collaborative and dynamic work environment.

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What you'll do

As a Senior Machine Learning Engineer, you will be responsible for pushing search quality forward through models, data, tools, or any other leverage available.

• Relentlessly push search quality forward—through models, data, tools, or any other leverage available
• Architect and build core components of our search platform and model stack
• Train and evaluate retrieval, ranking and classification models, including LLMs
• Deploy models - from boosting to LLMs - in a scalable and performant way
• Build and optimise RAG pipelines for grounding and answer generation
• Collaborate with Data, AI, Infrastructure and Product teams to ensure fast and high quality delivery

What you need

• Deep understanding of search and retrieval systems, including quality evaluation principles and metrics
• Proven track record with large-scale search or recommender systems
• Self-driven, with a strong sense of ownership and execution
• Minimum of 5 years of working on search or recsys-related projects

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What you'll do

The Senior Machine Learning Engineer will be responsible for architecting and building core components of the search platform and model stack. This will include designing, training, and optimizing large-scale deep learning models using frameworks like PyTorch, leveraging distributed training (e.g., PyTorch Distributed, DeepSpeed, FSDP) and hardware acceleration, with a focus on retrieval and ranking models.

• Relentlessly push search quality forward — through models, data, tools, or any other leverage available
• Architect and build core components of the search platform and model stack
• Design, train, and optimize large-scale deep learning models using frameworks like PyTorch, leveraging distributed training (e.g., PyTorch Distributed, DeepSpeed, FSDP) and hardware acceleration, with a focus on retrieval and ranking models

What you need

The successful candidate will need to have a deep understanding of search and retrieval systems, including quality evaluation principles and metrics. They will also need to have a proven track record with large-scale search or recommender systems, and strong proficiency with PyTorch, including experience in distributed training techniques and performance optimization for large models.

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What you'll do

• Apply state-of-the-art ML and LLM techniques to solve problems spanning:
• Personalization (LLM memory, context summarization, retrieval and ranking);
• Query Understanding (intent modeling, rewriting, agentic decomposition);
• Content Discovery (feed ranking and surfacing)
• Rigorously evaluate LLM/ML models with both offline and online techniques, designing experiments and metrics that provide deep insight into quality and impact.
• Own the entire model lifecycle from research to production: data analysis, modeling, evaluation, offline/online A/B testing, and iterative improvement.
• Collaborate cross-functionally with engineers, PMs, data scientists, and designers to ensure our AI drives meaningful product improvements.
• Stay at the forefront of ML/AI innovation by evaluating and incorporating emerging research and algorithms into the product lifecycle.

What you need

• 5+ years experience building and shipping robust ML/AI models for large-scale, user-facing or data-driven products.
• Deep expertise in deep learning (PyTorch, TensorFlow, JAX), LLMs, information retrieval, content summarization, recommendation systems, NLP, and/or ranking.
• Strong software engineering skills (Python, production-quality codebases, collaborative development).
• In-depth experience with the full ML lifecycle: data analysis, feature engineering, iterative model development, rigorous evaluation, and ongoing monitoring/improvement.
• Proven collaborator and communicator; excels in high-velocity, cross-functional teams.
• Curious, driven by end-user/product impact, and passionate about advancing the state of applied ML and AI.
• BS, MS, or PhD in Computer Science, Engineering, or related field (or equivalent experience).

Bonus Points For

• Experience with LLM prompt engineering, Retrieval-augmented generation (RAG) based systems.
• Experience in large scale user-centric and content-centric personalization challenges (user modeling, retrieval, content ranking, etc).
• Open-source or published contributions in ML, NLP, IR, or relevant research fields.

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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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