As a Staff R&D Software Engineer, you will design and develop advanced RTL analysis, restructuring, and optimization technologies within RTL Architect. You will implement efficient algorithms and data structures to enhance quality of results (QoR) and performance of architectural exploration tools. You will collaborate with product teams to integrate new features and support customer-driven requirements.

Key responsibilities include:

• Designing and developing advanced RTL analysis, restructuring, and optimization technologies within RTL Architect.
• Implementing efficient algorithms and data structures to enhance quality of results (QoR) and performance of architectural exploration tools.
• Collaborating with product teams to integrate new features and support customer-driven requirements.
• Utilizing AI productivity tools such as cursor and GitHub Copilot to accelerate development cycles and improve code quality.
• Conducting rigorous testing and validation of software modules to ensure reliability and scalability.

You will work closely with cross-functional teams to achieve common goals and foster a collaborative and inclusive engineering environment that empowers team members to achieve their best.

You will have the opportunity to work on challenging projects, apply analytical thinking to drive innovation, and leverage AI productivity tools to enhance your workflow. You will also have the chance to mentor and guide junior engineers, fostering a culture of innovation and technical excellence.

The ideal candidate will have a strong proficiency in C/C++ and object-oriented design principles, with 4 to 10 years of experience in EDA Software development. You will have a solid understanding of data structures, graphs, and algorithms, as well as expertise in RTL design methodologies (Verilog, SystemVerilog, VHDL).

You will be a self-driven individual with the ability to work independently and take initiative, a collaborative team player who enjoys mentoring others, and an excellent communicator who can convey technical concepts clearly.

You will be adaptable and eager to learn new technologies and methodologies, committed to fostering an inclusive and innovative work environment, and passionate about delivering high-quality, high-performance solutions that make a tangible impact on end users.

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We are looking for a detail-oriented and collaborative product paralegal to join Okta’s Product Legal Team. In this role, you will be a key contributor in a fast-paced and highly cross-functional environment, providing essential support to the development and launch of innovative products.

Responsibilities:

• Conduct intakes, including stakeholder interviews, to gather and document information about new products and features for attorney review.
• Assist attorneys with the initial review of products and features, using checklists and playbooks to help identify potential legal issues for further legal analysis.
• Help create and scale tools, processes, and knowledge to enhance the efficiency of the product counselling function.
• Develop and maintain organised records of product features and the corresponding legal guidance provided by the team’s attorneys.
• Assist in tracking applicable laws, rules, and regulatory developments relevant to the team’s work.
• Update and maintain the Product Legal team’s checklists, playbooks, and guidelines.
• Under attorney supervision, assist with drafting, reviewing, and preparing legal documents for attorney approval, such as inbound vendor agreements, outbound sales agreements, and NDAs.
• Execute Open Source Software program procedures for reviews of inbound code usage and outbound release requests.
• Assist in managing and coordinating training and other team programs for various organisations within the company.
• Build strong, collaborative relationships with cross-functional partners across Okta to support complex, multi-stakeholder projects.
• Maintain metrics and controls for the team and its programmes.
• Support other legal team projects and initiatives as they arise.

Required Qualifications:

• Bachelor’s degree; a degree in a technical field or operations management is a plus.
• A minimum of 5 years of experience providing paralegal support, preferably within an in-house legal department or a law firm.
• Proficiency with office productivity tools (e.g., Microsoft Office, GSuite) and communication platforms (e.g., Slack, Confluence).
• Experience managing multiple projects simultaneously in a fast-paced environment.
• Excellent written and verbal communication skills, with experience interacting with clients or internal stakeholders in a cross-functional setting.
• A demonstrated interest in technology and process improvement.

Desired Skills:

• Demonstrated experience reviewing and drafting agreements in a support capacity.
• Working knowledge of technology transactions, intellectual property, open source software, and data privacy matters is strongly preferred.
• Proficiency with artificial intelligence tools is strongly preferred.

The annual base salary range for this position for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York, and Washington is between $106,000-$145,200 USD.

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We are seeking a detail-oriented and collaborative product paralegal to join Okta’s Product Legal Team. In this role, you will be a key contributor in a fast-paced and highly cross-functional environment, providing essential support to the development and launch of innovative products. The ideal candidate will have strong organisational and communication skills, a proactive approach to problem-solving, and an interest in technology and process improvement.

Responsibilities:

Conduct intakes, including stakeholder interviews, to gather and document information about new products and features for attorney review.

Assist attorneys with the initial review of products and features, using checklists and playbooks to help identify potential legal issues for further legal analysis.

Help create and scale tools, processes, and knowledge to enhance the efficiency of the product counselling function.

Develop and maintain organised records of product features and the corresponding legal guidance provided by the team’s attorneys.

Assist in tracking applicable laws, rules, and regulatory developments relevant to the team’s work.

Update and maintain the Product Legal team’s checklists, playbooks, and guidelines.

Under attorney supervision, assist with drafting, reviewing, and preparing legal documents for attorney approval, such as inbound vendor agreements, outbound sales agreements, and NDAs.

Execute Open Source Software program procedures for reviews of inbound code usage and outbound release requests.

Assist in managing and coordinating training and other team programs for various organisations within the company.

Build strong, collaborative relationships with cross-functional partners across Okta to support complex, multi-stakeholder projects.

Maintain metrics and controls for the team and its programs.

Support other legal team projects and initiatives as they arise.

Required Qualifications:

Bachelor’s degree; a degree in a technical field or operations management is a plus.

A minimum of 5 years of experience providing paralegal support, preferably within an in-house legal department or a law firm.

Proficiency with office productivity tools (e.g., Microsoft Office, GSuite) and communication platforms (e.g., Slack, Confluence).

Experience managing multiple projects simultaneously in a fast-paced environment.

Excellent written and verbal communication skills, with experience interacting with clients or internal stakeholders in a cross-functional setting.

A demonstrated interest in technology and process improvement.

Desired Skills:

Demonstrated experience reviewing and drafting agreements in a support capacity.

Working knowledge of technology transactions, intellectual property, open source software, and data privacy matters is strongly preferred.

Proficiency with artificial intelligence tools is strongly preferred.

The annual base salary range for this position for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York, and Washington is between:

$106,000-$145,200 USD

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We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.

We are seeking a detail-oriented and collaborative product paralegal to join Okta’s Product Legal Team. In this role, you will be a key contributor in a fast-paced and highly cross-functional environment, providing essential support to the development and launch of innovative products. The ideal candidate will have strong organisational and communication skills, a proactive approach to problem-solving, and an interest in technology and process improvement.

Responsibilities: Conduct intakes, including stakeholder interviews, to gather and document information about new products and features for attorney review. Assist attorneys with the initial review of products and features, using checklists and playbooks to help identify potential legal issues for further legal analysis. Help create and scale tools, processes, and knowledge to enhance the efficiency of the product counselling function. Develop and maintain organised records of product features and the corresponding legal guidance provided by the team's attorneys. Assist in tracking applicable laws, rules, and regulatory developments relevant to the team's work. Update and maintain the Product Legal team’s checklists, playbooks, and guidelines. Under attorney supervision, assist with drafting, reviewing, and preparing legal documents for attorney approval, such as inbound vendor agreements, outbound sales agreements, and NDAs. Execute Open Source Software program procedures for reviews of inbound code usage and outbound release requests. Assist in managing and coordinating training and other team programs for various organisations within the company. Build strong, collaborative relationships with cross-functional partners across Okta to support complex, multi-stakeholder projects. Maintain metrics and controls for the team and its programs. Support other legal team projects and initiatives as they arise.

Required Qualifications: Bachelor's degree; a degree in a technical field or operations management is a plus. A minimum of 5 years of experience providing paralegal support, preferably within an in-house legal department or a law firm. Proficiency with office productivity tools (e.g., Microsoft Office, GSuite) and communication platforms (e.g., Slack, Confluence). Experience managing multiple projects simultaneously in a fast-paced environment. Excellent written and verbal communication skills, with experience interacting with clients or internal stakeholders in a cross-functional setting. A demonstrated interest in technology and process improvement.

Desired Skills: Demonstrated experience reviewing and drafting agreements in a support capacity. Working knowledge of technology transactions, intellectual property, open source software, and data privacy matters is strongly preferred. Proficiency with artificial intelligence tools is strongly preferred.

The annual base salary range for this position for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York, and Washington is between $106,000-$145,200 USD.

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You're as comfortable producing a polished video tutorial as you are leading an impromptu workshop at a conference. You can navigate any room, from a middle school classroom to a Fortune 500 boardroom. You'll serve as Gamma's public voice across video content, social media, and educational materials while building certification programs and ambassador initiatives that scale Gamma education globally.

Our team has a strong in-office culture and works in person 4–5 days per week in San Francisco. We love working together to stay creative and connected, with flexibility to work from home when focus matters most.

Responsibilities

• Represent Gamma at community events, hackathons, and educational workshops, creating and delivering standout presentations and demos

• Host live training sessions, webinars, and 'Gamma 101' events for all users, serving as Gamma's public voice

• Design stunning gammas that set the bar for what's possible, and produce educational videos, tutorials, and how-to guides

• Manage a certification program for Gamma trainers and community experts, including an ambassador program that scales education globally

• Translate user feedback and feature requests into actionable insights, partnering with Product to create launch materials

• Experiment with Gamma's features to discover new use cases and creative possibilities, advocating for capabilities that unlock more for users

What You'll Bring

• 3–5+ years of experience in product, design, education, marketing, or a related field, with a portfolio proving you can create beautiful, practical work across visual, graphic, presentation, or web design

• Camera confidence and strong public speaking ability, with the range to seamlessly shift between explaining Gamma to a student and presenting to executives

• Educational experience in customer-facing or teaching roles with genuine excitement for helping others learn

• Self-direction and strong project management instincts, with the ability to self-produce content, coordinate complex initiatives, and manage video production end-to-end

• Passion for AI, productivity tools, and helping people work smarter, with openness to regular travel (approximately 25%) for conferences, customer engagements, and content creation

• Experience creating educational content about B2C software or productivity tools, or strong working knowledge of Gamma with hands-on experience creating content on the platform (Nice to have)

Compensation Range

The base salary for this full-time position, which spans multiple internal levels depending on qualifications, ranges between $120K - $170K plus benefits & equity.

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This role requires exceptional communication, discretion, and the ability to anticipate needs in a fast-paced, global environment. The VP Legal operates across multiple time zones and engages with internal/external stakeholders, requiring meticulous coordination and strategic support.

Responsibilities Time Optimization & Focus Protection

• Filter, prioritize, and prepare materials to protect the VP Legal’s focus on high-value tasks and strategic initiatives.
• Act as a gatekeeper for meetings, ensuring relevance and alignment with priorities.
• Optimize schedules to balance execution, planning, and reflection time.

Decision-Making Support

• Clarify urgent matters, highlight key decisions, and ensure the VP Legal is briefed and ready to act.
• Prepare concise briefings, agendas, and follow-ups for meetings to drive efficiency.

Meeting & Preparation Support

• Ensure meeting agendas are clear, relevant, and action-oriented.
• Confirm the VP Legal’s participation is essential and content is decision-ready.
• Structure “work alone” sessions to maximize productivity and strategic thinking.

Team & Governance Coordination

• Define and implement governance frameworks for the legal team.
• Prepare and lead team meetings, all-hands, and offsites, ensuring alignment and cohesion.
• Establish rituals to maintain information flow and team collaboration, especially as the team scales.

Confidentiality & Professionalism

• Handle sensitive legal and business information with the utmost discretion.
• Represent the VP Legal’s office with professionalism, rigor, and a solutions-driven mindset.

Who You Are

• Proven experience as an Executive Assistant supporting legal, compliance, or C-suite leaders (VP Legal/General Counsel preferred).
• Exceptional communication skills in English (mandatory); proficiency in French is a plus.
• Highly organized, detail-oriented, and able to anticipate needs in a dynamic environment.
• Comfortable managing shifting priorities and navigating ambiguity with grace.
• Strong mastery of Google Suite/Microsoft Office; experience with productivity tools (Notion, Slack, CRM) is a plus.
• Proactive problem solver with a positive, can-do attitude and a focus on ownership.
• Thrives in a startup culture where adaptability and impact are key.

What we offer

• Competitive cash salary and equity
• Food: Daily lunch vouchers
• Sport: Monthly contribution to a Gym pass subscription
• Transportation: Monthly contribution to a mobility pass
• Health: Full health insurance for you and your family
• Parental: Generous parental leave policy

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As a Senior Manager, Supply Tech, you will reimagine our GTM technology ecosystem to drive productivity for sales and account management teams and operations teams. You'll ensure we have the right, intelligent technology to help our teams that support hosts through their journeys.

This is a role where you'll balance building and developing talent with solving complex business problems at scale. You'll own unified program roadmaps across Homes, Hotels, Experiences, and Services while partnering cross-functionally to deliver innovative technology and process solutions that keep our teams focused on hosts, not stuck in ineffective tools.

Responsibilities:

• Build and develop a distributed team across multiple verticals, driving talent transformation from enablement-focused to product owner mindset through hiring, performance management, and strategic transitions of contingent workers
• Establish team success and accountability by defining metrics, measuring program outcomes, and building strong stakeholder relationships that enable your team to drive strategy
• Create growth pathways for team members at various career stages while managing geographically distributed teams and technology partners

Strategic Work:

• Design and execute a unified roadmap strategy across acquisition and account management systems for all supply verticals, with deep hands-on focus on Homes account management
• Lead cross-functional delivery by coordinating complex initiatives across Supply, Operations, Product Marketing, Engineering, and Analytics teams while serving as a thought partner to senior stakeholders on behalf of Supply Tech
• Influence technical architecture by partnering with Business Technology, Platform and Engineering teams to pressure-test business requirements, evaluate build vs. buy decisions, and challenge solutions business success in mind
• Solve complex business problems by evaluating technology solutions from CRM to custom builds without ego, focusing on capability density and keeping teams focused on hosts rather than ineffective tools
• Partner proactively with Advanced Analytics, various technical teams and other Supply Tech functions to identify collaboration opportunities across shared customer bases

Your Expertise:

• 12+ years in business systems, GTM product ownership, or technical program management with 3+ years managing distributed teams
• Deep expertise in go-to-market systems, particularly acquisition and account management workflows, with strong understanding of Salesforce capabilities, limitations, and alternatives
• Proven track record building and transforming teams
• hiring, developing talent across experience levels, and managing performance through ambiguity while balancing IC work with management responsibilities
• Strategic problem-solving focused on business outcomes with platform-agnostic thinking and strong build vs. buy framework expertise
• Strong technical aptitude - can engage in architecture discussions, and engineering decisions with data-driven insights, and serve as technical consultant for non-technical audiences
• Exceptional stakeholder management and negotiation skills with VP and Director-level partners, influencing Product and Engineering teams unfamiliar with Sales and Operations organizations
• Executive communication skills for high-stakes presentations and ability to articulate complex technical concepts to diverse audiences
• Comfortable with ambiguity, complex stakeholder management, and identifying partnership opportunities across functions

Preferred:

• SQL proficiency for analysis and requirements definition
• Experience managing contingent workforce alongside FTE teams
• Background in marketplaces, multi-sided platforms, or B2B2C business models
• Familiarity with GTM productivity tools and change management for internal systems adoption

Your Location:

This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity.

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At Cloudflare, we're on a mission to help build a better Internet. Today the company runs one of the world's largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies.

As a Marketing Events & Campaigns Intern, you will play a crucial supporting role in the successful execution of Cloudflare's marketing initiatives. This is an exciting opportunity to gain hands-on experience across a variety of marketing channels, including webinars, trade shows, and digital advertising.

Responsibilities

• Assist with the logistical planning and execution of virtual webinars and in-person trade shows, including scheduling, vendor coordination, and materials preparation.
• Support the development and deployment of digital ad campaigns across various platforms, ensuring proper tracking and optimization.
• Coordinate the readiness of marketing assets, such as website banners, email communications, and landing pages, collaborating with design and content teams.
• Help manage and track leads generated from events and campaigns, ensuring data accuracy and timely follow-up.
• Contribute to post-event and campaign reporting by gathering data and assisting with performance analysis.
• Participate in team meetings and contribute ideas for improving marketing processes and campaign effectiveness.

Skills & Qualifications

• Currently pursuing a Bachelor's degree in Marketing, Communications, Business, or a related field.
• Available for a full-time 12-week internship, working from one of our US hub offices 3-5 days a week during the summer (May-Aug).
• Strong organizational skills with a keen eye for detail and the ability to manage multiple tasks simultaneously.
• Excellent written and verbal communication skills.
• Familiarity with digital marketing concepts and platforms is a plus.
• Proactive attitude with a desire to learn and contribute in a fast-paced environment.
• Ability to collaborate effectively within a team and with cross-functional partners.
• Proficiency with standard office productivity tools (e.g., Google Workspace, Microsoft Office).

Bonus Points

• Previous experience (academic or professional) with event coordination or digital campaign support.
• Understanding of lead tracking and CRM systems.

What Makes Cloudflare Special?

We're not just a highly ambitious, large-scale technology company. We're a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.

Project Galileo: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare's enterprise customers--at no cost.

Athenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.

1.1.1.1: We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released.

Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers.

Sound like something you’d like to be a part of? We’d love to hear from you!

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Key Responsibilities:

• Build cutting-edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
• Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
• Use data-driven methods and leverage the unique properties of our data to improve candidate retrieval
• Work in a high-impact environment with quick experimentation and product launches
• Keep up with industry trends in recommendation systems

Requirements:

• 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
• End-to-end hands-on experience with building data processing pipelines, large-scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
• Degree in computer science, machine learning, statistics, or related field

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

Relocation Statement:

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

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As a Software Engineer on our Infrastructure team, you’ll help design, build, and operate the systems that power our real-time collaborative design tools used by millions of people worldwide. We’re scaling fast, and we’re looking for experienced distributed systems engineers across a variety of teams. Whether you’re passionate about storage, compute orchestration, developer tooling, networking, or real-time data systems, this role offers an opportunity to shape the technical foundation of one of the most beloved design platforms in the world.

Responsibilities:

• Design, build, and maintain scalable and reliable infrastructure systems that support product innovation and user collaboration at scale.

• Architect and evolve distributed systems including storage platforms, streaming infrastructure, and compute orchestration.

• Improve developer experience by building internal platforms, CI/CD systems, build tools, and APIs.

• Collaborate across product and infrastructure teams to design secure, maintainable, and performant systems.

• Participate in shaping platform strategy, roadmaps, and engineering best practices across the organization.

• Debug and resolve complex production issues that span services and layers of the stack.

• Mentor engineers and foster a culture of collaboration, inclusivity, and technical excellence.

Requirements:

• 5+ years of Software Engineering experience, specifically in backend or infrastructure engineering.

• Deep understanding of distributed systems concepts such as sharding, replication, consistency, and eventual convergence.

• Experience with cloud-native environments (AWS, GCP, or Azure), infrastructure-as-code, and container orchestration.

• Proficiency in languages such as Go, TypeScript, Python, Rust, or Ruby.

• Strong system design skills and a track record of architecting resilient production systems.

• Excellent communication skills, with experience collaborating across teams and mentoring others.

Preferred Qualifications:

• Experience scaling storage platforms (e.g., Postgres, Redis, S3, DynamoDB) or operating streaming systems like Kafka.

• Background in traffic management, DDoS mitigation, or service mesh technologies (e.g., Envoy, Istio).

• A history of developing complex, real-time distributed systems at scale.

• A passion for building developer productivity tools, including development environments, CI/CD pipelines, and build systems.

• Experience with evolving large-scale, shared developer platforms to improve reliability and developer velocity.

• Strong problem-solving skills and a bias for action,especially when tackling high-impact, gritty challenges.

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You will partner with engineering teams within W&B and CoreWeave AI/ML Platform Services (AMPS) to ensure W&B integrates seamlessly into the broader ML ecosystem, while maintaining high reliability and predictable releases.

This role is ideal for someone who thrives in cross-functional environments, has a strong grasp of developer workflows, and excels at creating repeatable, reliable program structures that scale.

Responsibilities

• Drive end-to-end program management for critical platform initiatives.
• Build and run release management processes, ensuring predictable and high-quality delivery cycles.
• Partner with engineering and product to define success metrics, manage risks, and ensure on-time delivery.
• Build and scale incident management and RCA processes for W&B services.
• Improve the predictability and visibility of releases across teams, introducing dashboards, retrospectives, and program forums.
• Collaborate with TPMs and engineering leaders across W&B and CoreWeave to ensure end-to-end reliability across the ML developer stack.

Qualifications

• Bachelor's degree in a technical field or equivalent experience.
• 5+ years of program management experience in SaaS, developer tools, or ML/AI platforms.
• Proven experience running release management programs and incident management processes.
• Strong technical fluency in cloud computing, developer workflows, and CI/CD practices.
• Excellent communication and facilitation skills with diverse technical and non-technical audiences.
• Track record of improving reliability, efficiency, and predictability in software delivery.

Additional Qualifications

• Familiarity with ML workflows, model training/inference, and developer productivity tools.
• Experience building integrations between SaaS platforms, APIs, and cloud services.
• Strong background in reliability engineering practices and DevOps program leadership.

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As a Senior Account Executive on the Growth team, you will play a key role in helping Dropbox evolve how we go to market as we expand into newer products like Dash. This role goes beyond traditional account expansion. You’ll be responsible for building and scaling how we sell across new use cases and buying centers within our install base and with net new customers.

You will operate at the intersection of execution and problem-solving, closing business while helping shape our sales motion, messaging, and approach.

This is an opportunity to have a direct impact on how Dropbox grows its next generation of products, with high visibility across GTM leadership.

Responsibilities

• Own the full sales cycle from pipeline generation through close and renewal within your territory
• Build pipeline from scratch by prospecting into new teams, departments, and executive stakeholders
• Expand beyond existing motions to uncover new use cases and opportunities
• Consistently generate pipeline through outbound efforts, account mapping, events, and partner collaboration
• Forecast accurately and manage pipeline to consistently meet or exceed revenue targets
• Lead strong discovery to uncover customer challenges, priorities, and desired outcomes
• Apply structured qualification and value-selling frameworks (e.g., MEDDICC, SPICED) to advance deals
• Clearly articulate business impact and position Dropbox solutions around outcomes, not features
• Drive deal momentum by building urgency, aligning stakeholders, and establishing clear next steps
• Contribute to evolving GTM strategy by refining ICP, messaging, and use cases (e.g., Dash)
• Collaborate cross-functionally and bring insights from the field to influence Product and GTM

Requirements

• 6+ years of B2B SaaS sales experience, ideally including time in early-stage, new product, or evolving GTM environments
• Proven ability to generate pipeline and close deals in ambiguous or evolving markets
• Strong experience with qualification frameworks such as MEDDICC, SPICED, or similar
• Demonstrated use of value selling methodologies such as Command of the Message or equivalent
• Experience selling to mid-market and enterprise customers, including executive stakeholders
• Consistent track record of meeting or exceeding sales targets
• High ownership mentality - you take initiative and move things forward without waiting for direction
• Thrive in ambiguity and are comfortable operating without a fully defined playbook
• Curious and business-oriented, with the ability to connect customer problems to solutions
• Resourceful and adaptable - you figure things out and adjust quickly
• Strong collaborator who contributes positively to team culture
• Experience using Salesforce or similar CRM tools to manage pipeline and forecast
• Strong organizational skills and ability to manage multiple complex deals

Preferred Qualifications

• Experience selling a new or emerging product within an existing portfolio
• Experience working in high-change or transformation environments
• BA/BS degree or equivalent experience
• General familiarity with AI or productivity tools

Compensation

US Zone 2: $187,900-$254,100 USD US Zone 3: $166,900-$225,900 USD

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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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During your 12-week internship, you'll lead high-impact projects,from untangling 'messy' operational bottlenecks to architecting the systems that scale our global product launches,turning complex ambiguity into clear execution plans with opportunities for full-time employment within the team the following year.

Throughout the internship, you will be mentored by a dedicated sponsor and have the opportunity to connect with senior leaders across the organization.

Your responsibilities will include:

• Driving strategic projects by owning end-to-end commercialization transformation projects,from new product introductions to partner programs,by documenting current processes and identifying high-impact opportunities to simplify, automate, and scale.

• Informing high-stakes decisions by providing the analytical rigor and data-driven insights necessary to monitor program health, building lightweight dashboards and metrics tracking that translate raw data into leading indicators for executive leadership.

• Communicating with clarity by synthesizing complex business needs into clear requirements, user stories, and formal documentation (such as BRD/PRD sections) that bridge the gap between technical system requirements and executive-level strategy.

• Enabling the field by ensuring seamless execution of commercial initiatives by producing critical operational deliverables, including process maps, rollout checklists, and User Acceptance Testing (UAT) plans to prepare the field for new product launches.

• Influencing the roadmap by acting as a central point of alignment across RevOps, Sales, Finance, Legal, and Product teams, gathering diverse stakeholder input to ensure internal systems and workflows support the broader commercialization roadmap.

To be successful in this role, you will need to have:

• A strong interest in enterprise software/SaaS commercialization, operations, systems, and go-to-market strategy.

• Proficiency in Excel/Sheets and experience using AI productivity tools (such as Claude Code and Lovable) to enhance your workflow.

• Previous experience with SQL or Databricks for querying and reporting preferred.

• Previous experience with go-to-market concepts (pricing, packaging, quoting) or platforms like SFDC, CPQ, NetSuite, or Jira preferred.

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The role is ideal for a senior modeler who also enjoys developing, productionizing models and leading technical direction across teams. The successful candidate will be able to provide technical leadership through design reviews, mentoring, and raising the quality bar for modeling and ML engineering practices.

In addition to the above responsibilities, the successful candidate will be expected to:

• Collaborate with infra/platform teams to ensure scalable, reliable training/serving (latency, cost, observability, rollout safety).
• Partner with signal-consuming teams (ranking, retrieval, integrity, ads) to define signal contracts, adoption patterns, and success metrics.
• Own the full ML lifecycle: data/labeling strategy (human labels + weak supervision), training pipelines, offline evaluation, online experimentation, deployment, and monitoring/retraining.
• Provide technical leadership through design reviews, mentoring, and raising the quality bar for modeling and ML engineering practices.

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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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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Key responsibilities include leading incisive discovery to uncover business problems, quantifying impact, and aligning stakeholders on an Intercom value narrative. You will deliver compelling product demos and evaluations that showcase the Intercom Suite, including our Fin AI agent, tailored to each customer's goals and constraints. You will navigate procurement, security, and legal processes with support from cross-functional partners; keep deals moving with clear next steps and timelines.

To succeed in this role, you will need to forecast accurately, maintain crisp CRM hygiene, and communicate risks and upside with clarity. You will influence the product roadmap by sharing structured market feedback and customer insights. You will champion Intercom's values in every interaction with customers and teammates.

Required skills include 2+ years closing new business in B2B SaaS, ideally with SMB customers and familiarity with running larger deals +100k-200k ARR. You should have a consistent track record of exceeding quota with strong opportunity management, multi-threading, ROI modelling and deal execution. Exceptional discovery, storytelling, and demo skills grounded in business value and outcomes are essential.

You should be skilled at generating pipeline through outbound and partner-led motions in tandem with SDRs/Marketing. Adept at running structured evaluations and managing commercial processes (pricing, redlines, security) is also required. Proficient with modern CRM and sales productivity tools; strong written and verbal communication skills are necessary. Experience with MEDDPICC or similar sales methodologies is a plus.

Nice to have: experience selling customer service, helpdesk, AI, or messaging solutions; interest in the broader support-tech ecosystem. Fluency in French is required.

As an Account Executive, Commercial - French Speaking, you will be successful here by ramping quickly and building a high-quality pipeline aligned to territory priorities. You will deliver predictable, on-target performance with disciplined forecasting and stage progression. You will earn trust with prospects through thoughtful discovery, tailored evaluations, and crisp follow-through.

You will be a great teammate – share learnings, collaborate generously, and raise the bar for our team and our customers. Curiosity and a passion for learning and upskilling are essential in this role, as AI has changed the sales landscape.

Benefits include competitive salary and equity in a fast-growing start-up. We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen. Regular compensation reviews – we reward great work! Pension scheme & match up to 4%. Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents. Flexible paid time off policy. Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones. If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too . MacBooks are our standard, but we also offer Windows for certain roles when needed.

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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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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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Key responsibilities include: Triage and provide frontline support for requests from the Company to the legal department Prepare and maintain records and documentation, such as business licenses, construction contracts, leases, letters of intent, waivers, and notices Draft, review and redline standard contracts, e.g., NDAs, SaaS licenses, vendor contracts, engagement letters, leases, MOUs, AIA agreements, etc. Be a partner to the lawyers on the team with respect to data requests, research, organisational filing and general project management Coordinate electronic signatures and manage our Contract Lifecycle Management (CLM) tool and contract records Support legal tech execution, such as maintaining our CLM, matter management, or AI tools Support departmental stakeholders with recurring legal requests Work cross-functionally with Strategic Real Estate, Core Ops, Construction and other departments Facilitate and assist in various projects, large and small Assist in the development of lightweight workflows to keep the company organised and efficient

Required qualifications include: At least 2 years of relevant experience Bachelor's degree and/or paralegal certificate Strong written and verbal communications skills and excellent attention to detail and accuracy Experience with productivity tools (e.g. AirTable, Slack, DocuSign, Jira) and familiarity with or willingness to learn contract or matter management systems. The ability to build strong relationships within the team and cross-functionally, including Real Estate, Core Operations, Supply Chain, and more Experience in supporting small and large-scale projects Solutions oriented, with interest in developing and streamlining processes and creating efficiencies Self-starter who is able to identify areas where they can assist; Willing to wear multiple hats with shifting priorities and work on projects of all types, big and small Excellent analytical and critical thinking skills A positive, team player attitude, good judgment, and eagerness to help others

Preferred qualifications include: Interested in national security and changing the landscape of defence contracting Experience with startup, defence, and/or in-house at a high-growth company strongly preferred Familiarity with estoppels, notarizations, apostilles, and more Familiarity with or exposure to permitting, business licenses, and specialised licensing At least 2 years' experience at a nationally recognised law firm or in house strongly preferred

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Your responsibilities will include triaging and providing frontline support for requests from the Company to the legal department, preparing and maintaining records and documentation, drafting, reviewing and redlining contracts, and being a partner to the lawyers on the team with respect to data requests, research, organizational filing and general project management.

You will also coordinate electronic signatures and manage our Contract Lifecycle Management (CLM) tool and contract records, lead legal tech implementations, oversee and evaluate opportunities to improve processes and increase scalability, identify risks and mitigations, assist in the strategy development for new legal needs, and collaborate directly with other departments in the company to streamline their legal needs and provide them with tools so they can help themselves with repeatable legal requests.

You will oversee and champion various significant, material projects which will have significant impact on the company’s business, working with amorphous direction and tasking, and develop lightweight workflows to keep the company organized and efficient.

Required qualifications include at least 4 years of relevant experience, a Bachelor's degree and/or paralegal certificate, strong written and verbal communications skills and excellent attention to detail and accuracy, proficiency in productivity & management tools such as AirTable, Slack, DocuSign, Jira, Salesforce, Oracle ERP, and/or Foundry, and the ability to build strong relationships within the team and cross-functionally.

Preferred qualifications include interested in national security and changing the landscape of defense contracting, at least 2 years’ experience with startup, defense, and/or in-house at a high-growth company, and at least 2 years’ experience at a nationally recognized law firm.

The salary range for this role is $113,000-$135,000 USD, and highly competitive equity grants are included in the majority of full-time offers.

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This role requires exceptional communication, discretion, and the ability to anticipate needs in a fast-paced, global environment. The VP Legal operates across multiple time zones and engages with internal/external stakeholders, requiring meticulous coordination and strategic support.

Responsibilities: Time Optimization & Focus Protection • Filter, prioritize, and prepare materials to protect the VP Legal’s focus on high-value tasks and strategic initiatives. • Act as a gatekeeper for meetings, ensuring relevance and alignment with priorities. • Optimize schedules to balance execution, planning, and reflection time. Decision-Making Support • Clarify urgent matters, highlight key decisions, and ensure the VP Legal is briefed and ready to act. • Prepare concise briefings, agendas, and follow-ups for meetings to drive efficiency. Meeting & Preparation Support • Ensure meeting agendas are clear, relevant, and action-oriented. • Confirm the VP Legal’s participation is essential and content is decision-ready. • Structure “work alone” sessions to maximize productivity and strategic thinking. Team & Governance Coordination • Define and implement governance frameworks for the legal team. • Prepare and lead team meetings, all-hands, and offsites, ensuring alignment and cohesion. • Establish rituals to maintain information flow and team collaboration, especially as the team scales. Confidentiality & Professionalism • Handle sensitive legal and business information with the utmost discretion. • Represent the VP Legal’s office with professionalism, rigor, and a solutions-driven mindset.

Who You Are • Proven experience as an Executive Assistant supporting legal, compliance, or C-suite leaders (VP Legal/General Counsel preferred). • Exceptional communication skills in English (mandatory); proficiency in French is a plus. • Highly organized, detail-oriented, and able to anticipate needs in a dynamic environment. • Comfortable managing shifting priorities and navigating ambiguity with grace. • Strong mastery of Google Suite/Microsoft Office; experience with productivity tools (Notion, Slack, CRM) is a plus. • Proactive problem solver with a positive, can-do attitude and a focus on ownership. • Thrives in a startup culture where adaptability and impact are key.

What we offer • Competitive cash salary and equity • Food: Daily lunch vouchers • Sport: Monthly contribution to a Gym pass subscription • Transportation: Monthly contribution to a mobility pass • Health: Full health insurance for you and your family • Parental: Generous parental leave policy

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You will have a primary focus on the LATAM region, partnering with key departments across the organization and supporting global HR programs where needed. This role is based out of São Paulo, Brazil, and is a full-time position where it is required to come into our office at complexo JK Iguatemi (2-3 days/week).

Job Responsibilities:

• Partner with business teams as their primary HR contact, coaching managers and supporting the full employee lifecycle in close collaboration with the broader People team to maximize engagement and business execution.
• Focus on manager coaching, organizational design, change leadership and communication, and talent management.
• Influence business and talent initiatives that support short- and long-term goals, including driving practices that enable high performance and operational excellence.
• Recommend, develop, and implement HR processes to further scale the business as we grow.
• Provide counsel and guidance on employee relations situations with sound judgment and a people-first approach.
• Lead core HR processes including performance calibration, compensation review cycles, and promotions.
• Drive practices that increase employee engagement and satisfaction across the region.
• Model and actively reinforce Jeeves' cultural values in all aspects of the role.
• Oversee and manage on-site events in São Paulo, while collaborating with Country Managers in Mexico and Colombia to coordinate local office activities.

Requirements:

• 5+ years of experience in an HRBP role, or an equivalent combination of HRBP and HR Generalist experience.
• Bachelor's degree in HR, Psychology, Business, or a related field.
• Excellent communication skills, including effective facilitation, active listening, and clear written communication.
• Strong analytical thinking, problem-solving, and decision-making capabilities.
• Effective coaching skills, solid business acumen, and the ability to influence colleagues at all levels of the organization.
• Knowledge of HR programs and practices, including applicable employment laws and regulations across the LATAM region.
• Fluent in English and Portuguese. Jeeves is a global company and English is our internal language across regions. Spanish is a plus.
• Agile and able to adapt quickly in a fast-moving, evolving environment.
• Collaborative, team-oriented, and low-ego approach to getting things done.

AI Competency Requirements:

• Comfortable using AI productivity tools (e.g., Claude, ChatGPT, Copilot) to support day-to-day work , including drafting communications, building frameworks, synthesizing data, and accelerating research.
• Able to critically evaluate AI-generated outputs, understanding common limitations such as factual errors, bias, and gaps in legal or regional context.
• Working knowledge of data privacy considerations when using AI tools in an HR context, including appropriate boundaries around employee data.
• Experience or genuine interest in applying AI to HR workflows such as job description writing, interview guide development, engagement survey analysis, and manager communications.
• Proactively identifies opportunities to reduce manual, repetitive work through AI so that more time can be spent on strategic and human-facing priorities.
• Committed to responsible, human-centered AI use , ensuring that AI augments rather than replaces human judgment in hiring, performance, and employee relations decisions.
• Stays current on developments in AI tools and their application in HR, including awareness of relevant regulatory considerations in the LATAM region.

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We believe in a world where homes are owned by regular people, not corporations. Our mission is to provide authentic belonging experiences, empowering residents to become homeowners and homeowners to achieve financial freedom.

The Role – Executive Assistant

Belong is looking for an exceptional Executive Assistant to work directly with the CEO. This is a highly strategic role that sits at the center of leadership operations and company execution. This position is critical to enabling the CEO to operate at the highest level by bringing structure, anticipating needs, and ensuring seamless coordination across priorities, communications, and logistics.

Responsibilities

Provide high-level executive support to the CEO (calendar, priorities, meetings, travel, and events)

Own complex calendar management across multiple time zones, proactively resolving conflicts and protecting focus time

Plan and coordinate domestic and international travel, including last-minute changes, logistics, visas, and contingencies

Schedule and organize leadership events, company gatherings, and strategic offsites

Prepare agendas, meeting materials, follow-ups, and action trackers

Act as a trusted gatekeeper, prioritizing requests and managing internal and external stakeholder communication

Handle sensitive and confidential information with the highest level of discretion

Partner closely with People, Finance, and Operations teams to support leadership workflows

Deliver a high-touch, hospitality-driven service experience to executives, partners, and stakeholders

What We’re Looking For

5+ years of experience supporting senior executives or C-level leadership

Exceptional communication and strong interpersonal skills

Professional English proficiency (written and verbal) – required

Strong calendar, travel, and agenda management experience

Highly organized with outstanding attention to detail

Proactive mindset with strong ownership and problem-solving skills

Flexible and adaptable, able to operate in dynamic, fast-changing environments

Strong service orientation and hospitality mindset

Ability to manage multiple priorities while maintaining structure

Experience handling sensitive and confidential information

Holds a valid U.S. visa

Comfortable working with global teams and stakeholders

Why Belong

Work directly with the CEO in a high-impact, high-visibility role

Be part of a company redefining one of the world’s largest industries

Join a fast-growing, AI-driven organization with ambitious global goals

Collaborative culture with strong ownership and autonomy

Competitive compensation and growth opportunities

Opportunity to help shape leadership operations and company experience

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As one of the key senior leaders of the compute Tech Strategy team, this role will own the success of our AI strategy by driving the maximal product impact for Google and AI impact for humanity. This leader will have the responsibility of framing key strategic decisions for our SVP+ leadership group based on deep analysis of the situation including value at stake from AI investments, investment optimization options, Industry understanding, financial modeling, product strategy analysis and understanding. They will be constantly looking for opportunities to push the envelope of impact from our investments in AI and inspire the team to do the same. This leader will also drive the synthesis of the situation into SVP+ consumable frameworks and crisp grounded and data backed options. They will then ensure the strategy is executed flawlessly partnering with a multitude of cross functional teams and stakeholders.

Key responsibilities include: Investigating and driving clarity on some of Google's hardest long range strategic questions in AI Creating new and partner with existing virtual teams across Google to create comprehensive product and policy plans that stand the test of time Modeling scenarios and various tradeoffs to create opinionated strategies for maximizing AI value and optimizing AI investments across Google Creating SVP+ forum content (presentations, communications, mandates) Helping develop a per-mandate monitoring view to keep programs accountable Collaborating with operational teams and forums in AI to ensure that company-wide SVP+ mandates are set up for success -- well organized, staffed and delivering on desired goals. Staying connected across Google to maintain a living catalog of ongoing experiments & proposed innovations that may become worthy of discussion at NRC Identifying gaps in our processes and information and proposing/implementing solutions.

To succeed in this role, you will be a PM who thrives as both a central hub orchestrating complex and long running investigations AND a rapid iteration IC who can quickly create something out of nothing and move on to the next thing. You must be able to concisely communicate the merits & risks of multiple scenarios in documents that will get circulated broadly and to some of the most senior folks at the company. If you have high energy, a positive attitude, strong tech judgment, excellent interpersonal skills, and are excited to handle complex pan-Google topics and SVP audiences, this job will offer an opportunity to have a massive company-wide impact.

To set you up for success as a Product Manager at DeepMind, we look for the following skills and experience: A BA/BS degree in Computer Science/EE or equivalent practical experience in a technical and/or business area 15+ years of product management experience for a technology-driven company, at scale, including a proven track record in driving 0->1 product capabilities and founding or incubating new, high-impact technical initiatives. Exceptional organizational talent running high velocity, high impact, strategic programs Stellar verbal and written communication; past experience with SVP/VP+ level audiences Extensive experience in product operations and business strategy Strong analytics, strategy, and data fluency experience Experience in a role that deals with machine learning and/or compute Innovative problem solver that can turn ambiguous problem spaces into clear solutions Ability to influence without direct authority, you adeptly work on and with technical and cross-functional or highly matrixed teams in a way that leads to aligned decision making

In addition, the following would be an advantage: Familiarity with the role of compute and data in building LLMs and the capabilities of these models Strong product vision and sensibility, ideally with prior and proven experience embedding applied AI capabilities into products and a track record of leveraging AI productivity tools 5+ years of product strategy work experience in managing highly-complex, technically-challenging projects spanning a wide set of stakeholders A quantitative and analytical mentality to understand Google PA and external user needs Experience navigating sensitive organizational dynamics Collaborating within data-driven or quantitative-focused teams A consistent record of creative problem solving and a bias towards action Outstanding business judgment Outstanding organizational, prioritization, and multitasking skills. Excellent communication skills A proven track record of building positive relationships with senior stakeholders and influencing strong personalities within a complex business environment Experience in corporate planning Ability to manage multiple concurrent complex interactions with geographically disparate teams Past people management experience; Experience in hiring and leading teams, including distributed teams

At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

Application deadline: 13th Feb 2026

Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy.

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As one of the key senior leaders of the compute Tech Strategy team, this role will own the success of our AI strategy by driving the maximal product impact for Google and AI impact for humanity. This leader will have the responsibility of framing key strategic decisions for our SVP+ leadership group based on deep analysis of the situation including value at stake from AI investments, investment optimization options, Industry understanding, financial modeling, product strategy analysis and understanding.

The role will involve personally driving and amplifying impact through leading a team to investigate and drive clarity on some of Google's hardest long-range strategic questions in AI, creating new and partner with existing virtual teams across Google to create comprehensive product and policy plans that stand the test of time, modeling scenarios and various trade-offs to create opinionated strategies for maximizing AI value and optimizing AI investments across Google, and creating SVP+ forum content (presentations, communications, mandates).

To be successful in this role, you will need to be a PM who thrives as both a central hub orchestrating complex and long-running investigations AND a rapid iteration IC who can quickly create something out of nothing and move on to the next thing. You must be able to concisely communicate the merits & risks of multiple scenarios in documents that will get circulated broadly and to some of the most senior folks at the company.

In order to set you up for success as a Product Manager at DeepMind, we look for the following skills and experience:

• BA/BS degree in Computer Science/EE or equivalent practical experience in a technical and/or business area
• 15+ years of product management experience for a technology-driven company, at scale, including a proven track record in driving 0->1 product capabilities and founding or incubating new, high-impact technical initiatives.
• Exceptional organizational talent running high-velocity, high-impact, strategic programs
• Stellar verbal and written communication; past experience with SVP/VP+ level audiences
• Extensive experience in product operations and business strategy
• Strong analytics, strategy, and data fluency experience
• Experience in a role that deals with machine learning and/or compute
• Innovative problem solver that can turn ambiguous problem spaces into clear solutions
• Ability to influence without direct authority, you adeptly work on and with technical and cross-functional or highly matrixed teams in a way that leads to aligned decision making

In addition, the following would be an advantage:

• Familiarity with the role of compute and data in building LLMs and the capabilities of these models
• Strong product vision and sensibility, ideally with prior and proven experience embedding applied AI capabilities into products and a track record of leveraging AI productivity tools
• 5+ years of product strategy work experience in managing highly-complex, technically-challenging projects spanning a wide set of stakeholders
• A quantitative and analytical mentality to understand Google PA and external user needs
• Experience navigating sensitive organizational dynamics
• Collaborating within data-driven or quantitative-focused teams
• A consistent record of creative problem solving and a bias towards action
• Outstanding business judgment
• Outstanding organizational, prioritization, and multitasking skills
• Excellent communication skills
• A proven track record of building positive relationships with senior stakeholders and influencing strong personalities within a complex business environment
• Experience in corporate planning
• Ability to manage multiple concurrent complex interactions with geographically disparate teams
• Past people management experience; Experience in hiring and leading teams, including distributed teams

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Location

San Francisco; New York City

Employment Type

Full time

Location Type

On-site

Department

Data Science

Compensation

• $293K – $515K • 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

Our B2B product organisation is building the systems that will accelerate and automate how companies operate using AI coworkers. Our vision is to enable companies to scale to $1B+ with teams of fewer than five people by leveraging AI agents and automation. We are building the infrastructure, products, and analytics that allow organisations to deploy fleets of AI agents, automate workflows, and dramatically increase employee productivity. This team sits at the centre of the future of work: defining how humans collaborate with AI systems across companies, workflows, and knowledge.

About the Role

We are looking for a product-focused Data Scientist to help shape the next generation of AI-powered enterprise products, including ChatGPT Enterprise and agentic automation systems.

This is not a traditional analytics role. You will work directly with product managers, engineers, and researchers to define how AI agents behave, how organisations adopt them, and how we measure their impact on work.

You’ll analyse how users interact with AI systems, inform product strategy, and help build the measurement frameworks that guide the future of enterprise AI.

In this role, you will:

• Partner closely with product, engineering, and research teams to shape AI-powered enterprise products

• Define metrics and measurement frameworks for AI agents, automation workflows, and enterprise adoption

• Analyse how organisations use AI tools and identify opportunities to improve product experience and business impact

• Drive insights around enterprise adoption, retention, and value realisation

• Inform product decisions around agent orchestration, enterprise workflows, and AI productivity tools

• Design experiments and evaluations that improve AI system performance and user outcomes

• Help define how companies operate with AI coworkers and automated workflows

What We’re Looking For

Must Have:

• Strong product analytics or data science experience

• Deep curiosity about AI systems and how they change how work gets done

• Ability to work closely with product and engineering teams in 0→1 product environments

• Strong analytical skills (experimentation, behavioural analysis, product metrics)

• Builder mindset — someone who wants to shape products, not just analyse them

Nice to Have:

• Experience with B2B SaaS or enterprise analytics

• Experience with developer platforms, APIs, or technical products

• Background in AI/ML systems, agent frameworks, or LLM-based products

• Systems thinking around how complex tools and workflows operate at scale

Who Thrives Here:

• AI-native — actively experimenting with and building with AI tools

• Product thinkers who want to shape the future of work

• Builders who enjoy early-stage ambiguity and 0→1 problems

• Operators who can work independently and drive large parts of a product area

Impact

You will help define:

• How organisations deploy and manage AI agents

• How AI transforms enterprise productivity

• The measurement systems behind AI-native companies

• This is an opportunity to help create the “Codex moment” for non-coding work — defining how businesses operate in an AI-first world.

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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