In this role, you will be responsible for leading and developing a team of dedicated engineers, ensuring that our solutions are effectively tailored to meet the specific requirements of the automotive and industrial sectors.

Key responsibilities include:

• Leading discussions and alignment with customers on software development topics and requirements (RFI/RFQ)
• Supporting decision-making by balancing customer needs and internal capabilities
• Coordinating and aligning customer requirements with headquarters' solutions and strategies
• Driving requirement clarification, scope definition, and solution agreement
• Ensuring customer requirements are accurately reflected in the proposed solutions

Additionally, you will:

• Lead customer engagements, including technical and commercial discussions and negotiations
• Identify and pursue new opportunities through market and customer insights
• Manage assigned business models and develop new opportunities in collaboration with application engineers

As a multifunctional collaborator, you will:

• Coordinate internal and external communications, including emails and technical discussions
• Coach application engineers (AEs) to enhance their capabilities in line with market and customer requirements
• Prepare, review, and maintain technical documents (e.g., requirements, specifications, reports)
• Document meeting minutes, decisions, and action items, and track follow-ups

Requirements include:

• Bachelor's degree or equivalent in Engineering (Mechanical, Mechatronics, Software, or a related field)
• Prior engineering experience in automotive R&D is highly desirable
• Self-motivated, with a systematic and structured approach to operations
• A business development orientation combined with an innovative, analytical mindset
• Foundational knowledge of systems, products, and applications within the AVL portfolio
• Market understanding
• Proven ability to work in a structured manner, with exceptional interpersonal and teamwork skills
• Exceptional Written and Spoken English

If you are a motivated and experienced professional looking to lead a team and drive innovation in the automotive and mobility industry, we encourage you to apply.

XML job scraping automation by YubHub

Your tasks will include:

• Coordinating with suppliers to ensure timely delivery of materials
• Collaborating with logistics teams to optimize material flow
• Developing strategies to mitigate supply chain disruptions
• Analyzing data to identify areas for improvement

In return, we offer a dynamic and challenging work environment, opportunities for professional growth, and a competitive salary.

If you are a motivated and detail-oriented individual with excellent communication skills, we encourage you to apply for this exciting opportunity.

Duration: 6 months Start date: 01.10.2026 Location: Leipzig

Requirements:

• Bachelor's degree in Business Administration, Engineering, or a related field
• Excellent communication and organizational skills
• Ability to work independently and as part of a team
• Proficiency in Microsoft Office and SAP

Preferred qualifications:

• Experience in logistics or supply chain management
• Knowledge of transportation planning tools and warehouse management systems
• Familiarity with artificial intelligence and machine learning

Benefits:

• Competitive salary
• Opportunities for professional growth and development
• Dynamic and challenging work environment
• Flexible working hours

How to apply:

Please submit your application, including your resume and cover letter, to [insert contact information]. We look forward to hearing from you!

XML job scraping automation by YubHub

Your key areas of focus will be:

• Contributing to the development of intelligent AI and data science solutions to identify risks early on
• Gaining comprehensive insights into the work of the Internal Audit department at Porsche
• Supporting projects in one of the following areas, tailored to your area of expertise:

• Implementing AI agents (e.g., Microsoft Co-Pilot, GenAI frameworks)
• Conducting data analyses to identify anomalies and optimization potential
• Identifying new AI tools for the audit process
• Developing the AI strategy for the Internal Audit department

Start date: September/October 2026 Duration: 3-6 months

We offer you:

• Insights into the application of AI and data science in the Internal Audit department
• Participation in exciting projects to develop the AI strategy
• Access to digital learning and working tools
• An active practicum community

To be successful in this role, you should have:

• A degree in Data Science, Computer Science, Mathematics, or a related field (at least in the third semester or during a gap year between Bachelor's and Master's studies)
• First practical experience in implementing artificial intelligence, data science, or data analytics
• Strong engagement, innovation, teamwork, and first programming skills
• Excellent German and good English language skills (at least B2 level)

If you have any questions, please feel free to contact us. We receive regular inquiries about the application process at Porsche. You can find some essential information here.

XML job scraping automation by YubHub

You will be part of a controlling team that lives active collaboration. Whether monthly closing, budget planning, or forecasting, we all work together to support informed decisions across the entire company. New colleagues are integrated into diverse tasks and projects.

You can expect a modern working environment with digital internal controlling systems. You will work on creating reports, analyses, and recommendations and gain comprehensive insights into our company's financial management. At the same time, you will actively shape how we develop processes and create transparency across all business areas.

At Porsche, you will contribute to making the fascination of Porsche visible in numbers. You will analyze business economic developments, support departments with reliable data, and shape the financial management of the company with your engagement. You will transport values such as precision, professionalism, and teamwork into every task.

If you combine analytical strength with structured work, enjoy taking responsibility, and are enthusiastic about shaping one of the world's strongest brands, then you fit perfectly into our team.

Your tasks will include:

• Monthly closing according to HGB in close coordination with accounting
• Consolidation of Porsche Niederlassung results
• Creation and analysis of KPIs
• Integration of closing results into corporate systems
• Corporate reporting
• Preparation of results for management
• Creation of evaluations for decision-making documents
• Ad-hoc analyses for all cost centers in the company
• Sparring partner for management
• Budget, forecast, and monthly prognosis
• Contact person for auditors and stakeholders
• Project development and support
• Contribution to Corporate Development
• Reconciliation of sales provisions
• Reconciliation of aftersales premiums
• Care of Sharepoint
• Scenario calculations (best case/worst case)
• Liquidity analysis and ensuring
• Digitalization and automation of processes

XML job scraping automation by YubHub

Key responsibilities include:

• Supporting general Aftersales projects and strategic initiatives
• Preparing presentations and documents for internal and external stakeholders
• Creating, verifying, and developing Aftersales reports for internal and external use
• Monitoring Aftersales quality processes and key performance indicators
• Handling and coordinating operational inquiries from Porsche importers
• Supporting cross-functional coordination with departments such as Sales, Marketing, and Business Development

Requirements include:

• Studying in Business Administration, Economics, Industrial Engineering, or any other relevant studies
• Proficiency in Microsoft Office suites
• Experience with reporting and business intelligence tools is a plus
• Fluency in written and spoken English with excellent communication skills
• Open-minded, organised, analytical, and quality-oriented, able to work independently and prioritise
• Team-oriented working attitude and good intercultural understanding
• Past internship experience preferred

XML job scraping automation by YubHub

Your tasks will include:

• Advising customers from various industries on the strategic alignment, further development, and operationalization of product development - from vision to sustainable implementation
• Accompanying the development of target images for the product development system of tomorrow and deriving concrete digital transformation paths
• Supporting the conception and implementation of strategies for the use of artificial intelligence in product development
• Project management in classical and agile environments and accompanying workshops with our customers from design to execution and moderation
• Co-shaping sales and acquisition activities as well as evaluating new technologies and trends

To be well-prepared for your path as a Senior Consultant Future Product Development, you should have the following qualifications:

• Completed studies and at least 1 year of professional experience, preferably in consulting with a focus on product development
• Expertise in the field of mechatronic/software-driven product development and digitalization
• Passion for innovations, technologies, and methods in the product development environment supplemented by data evaluation (e.g. using Python)
• Your way of working is characterized by very good communication and presentation skills, structure, self-motivation, analytical thinking, and strong team skills
• Skills in and understanding of modeling (UML, SysML, etc.) are an advantage

Important information before departure:

• Start: after agreement - always at the beginning of a month
• Working hours: full-time (40h) & 30 vacation days
• Employment relationship: unlimited
• Field of work: Consulting
• Language: fluent German and English
• Flexibility and willingness to travel
• Other: valid work permit; if necessary, we can apply for a work permit within our recruitment process. The procedure takes time and affects the start date

As a technology and business partner, MHP digitalizes processes and products for its customers and accompanies them in their IT transformations along the entire value chain. With over 25 years of experience, MHP has grown to become a leading player in the industry, with over 4,500 employees worldwide. MHP's mission is to drive excellence and sustainable success, and the company is committed to continuously improving its services and products to meet the evolving needs of its customers.

At MHP, you will have the opportunity to grow professionally and personally, with a focus on innovation and collaboration. Our team is passionate about delivering exceptional results and making a positive impact on our customers' businesses. We offer a dynamic and supportive work environment, with opportunities for professional development and growth. If you are looking for a challenging and rewarding career, join our team at MHP.

Benefits:

• Recognition: We appreciate and support our colleagues as they are and celebrate our successes together.
• Creativity: We welcome creativity and new ideas.
• Flexibility: Your working style is flexible, both in terms of time and location, adapted to the project requirements.
• Growth: You have the opportunity to grow in your tasks, knowledge, and responsibility.

For more information on our benefits, please visit our website.

How to apply:

Please submit your application as soon as possible. You can easily do this online through our Job Locator. There, you can upload your application documents, such as your resume, certificates, and possibly project lists, in just a few clicks. A cover letter is not required.

Note: If your application reaches us, our recruiting team will review it across departments to see if there is a suitable position for you. Regardless of current job postings, we try to find the best fit for you at MHP.

Contact:

If you have any questions, please check our FAQs on our Career website.

For further inquiries, please contact our Recruiting Team at +49 (0)7141 7856 1600.

XML job scraping automation by YubHub

Developing and implementing innovative planning tools Business Intelligence with SAP Analytics Cloud: creating and enhancing dashboards and reports for management Data modelling and integration with SAP Datasphere to create powerful data structures for analysis and forecasting Implementing and testing small machine learning solutions to automate and improve Controlling processes Supporting the Data & AI Team in developing the strategy, methods, and tools for digital transformation in Controlling Collaborating in interdisciplinary projects focused on digitalisation and data-based process optimisation

You will work closely with our Data & AI Team to design and implement cutting-edge solutions that drive business success. Your contributions will help shape the future of Controlling at Porsche.

In this role, you will have the opportunity to work on various projects, including:

Developing and implementing new reporting and analytics solutions Enhancing existing dashboards and reports Creating data models and integrating them with SAP Datasphere Implementing machine learning algorithms to automate and improve Controlling processes Collaborating with cross-functional teams to drive digital transformation

As a member of our team, you will be part of a dynamic and innovative environment where you can grow professionally and personally. You will have access to state-of-the-art technology and tools, as well as opportunities for professional development and networking.

If you are passionate about data-driven decision-making, innovation, and collaboration, we encourage you to apply for this exciting opportunity.

Key responsibilities:

• Develop and implement modern reporting and KI solutions
• Create and enhance dashboards and reports for management
• Design and implement data models and integrate them with SAP Datasphere
• Implement and test small machine learning solutions
• Support the Data & AI Team in developing the strategy, methods, and tools for digital transformation
• Collaborate in interdisciplinary projects focused on digitalisation and data-based process optimisation

Requirements:

• Bachelor's degree in Economics, Computer Science, Mathematics, Data Science, Business Administration, or a related field
• First-hand experience in Business Intelligence, preferably with SAP Analytics Cloud and SAP Datasphere
• Basic knowledge of data modelling, data analysis, and machine learning
• Proficiency in MS Office and interest in modern database and cloud technologies
• Self-motivated, structured, and analytical working style
• Enjoy working in a team and being part of innovative digital solutions
• Flexibility and high motivation to learn and apply new technologies in Controlling
• Excellent German language skills and good English language skills

Benefits:

• Personal mentors and an open feedback culture
• Digital learning and working tools
• Mobile learning after coordination with the team
• Own project work
• Team events on a voluntary basis
• Active internship community

Duration: 5-6 months

Start date: September

Location: Zuffenhausen

We look forward to receiving your application!

XML job scraping automation by YubHub

The position will support and manage the parts transfer network of truck, LTL, and rail lanes to assure timely and cost-efficient freight moves between AHM facilities. This includes working with Honda and 3PL managed locations for scheduling, routing and tracking of these shipments. Will assist management in the development of systems to track lead-time by lane, mode and carrier to identify opportunities to reduce lead-time and cost. Will assist management by tracking specific transportation costs to achieve budget while also meeting published transit times.

Key Accountabilities

• Schedule transfers from Hubs to Part Center or off-site locations, by establishing a regular lane schedule and securing additional transportation coverage for variance above the planned requirements. Work with and manage carrier's performance and or adjust scheduling to ensure the transfer network achieves transit times when exceptions occur.
• Review and approve invoices from carriers within contractual timeframe. Work with freight payment provider and carriers to identify and resolve issues for payments
• Support parcel and LTL shipments, issues or tracking as needed
• Create reports, interpret data, and provide analysis to make recommendations or improve logistics department and Honda's overall performance.
• Damage claims resolution, special projects, and network support

Qualifications, Experience, and Skills

Minimum Educational Qualifications Bachelor's degree in related discipline (Transportation / Logistics, Data Analytics- Management, Business Administration) or 4 years equivalent work-related experience and proven record of success.

Minimum Experience Minimum of two years' experience in transportation or Data Analytics field and have a proven record of achieving results.

Other Job-Specific Skills Experience with Business Intelligence, MS Office applications, Project44, Transportation Management Systems, Freight payment

Working Conditions

Office is the primary work environment Travel may be required as needed, usually less than 5% of the time

XML job scraping automation by YubHub

You will take ownership of managing User Verification backlogs efficiently, finding gaps in our processes and proposing fixes that boost our operational efficiency, and supporting and motivating your team to reach their KPIs and grow professionally.

To thrive in this environment, you will need to have great empathy and high emotional intelligence, be a structured thinker who can make decisions independently and confidently, and be tenacious and relentless in your pursuit of excellence.

In addition, you will need to have proven skills in leading a team of User Verification Agents, a good knowledge of performance management and coaching, and a deep understanding of KYC, KYB, and EDD.

As a bonus, you will enjoy a hybrid setup with 2 days remote and 3 days in-office weekly, a MacBook, delicious lunches, private health insurance, and a monthly contribution to your phone and internet bills.

XML job scraping automation by YubHub

Responsibilities: Assist with the initial vetting and ongoing review of portfolio management teams against our Algorithmic Trading Policy Monitor regulatory changes, updates and industry-wide compliance initiatives Conduct ongoing analyses to enhance our global Quantitative Trading Compliance program Assist with regulatory examinations, inquiries, investigations and projects Assist with drafting and amending compliance related policies and procedures Prepare and conduct compliance trainings

Qualifications: 3+ years of experience Experience at a regulatory authority, bank/broker or buy-side firm Experience with addressing algorithmic/systematic trading matters is preferred Bachelor’s degree in Computer Science, Finance, Economics or similar with a strong academic record is preferred An understanding of global financial markets, including market structure, is preferred General understanding of Artificial Intelligence, including current regulatory focus areas Strong analytical / conceptual problem-solving skills with attention to detail Strong sense of ownership and personal responsibility Ability to prioritize, multi-task, and manage deadlines while successfully completing assignments Strong written and verbal communication skills Ability to create presentation materials for senior management Proficient in Microsoft PowerPoint and Excel Good team player with a strong willingness to participate and help others

The estimated base salary range for this position is $70,000 to $160,000, which is specific to New York and may change in the future.

XML job scraping automation by YubHub

Key Responsibilities:

Strategy & Governance - Develop and own global response operations to drive operational resiliency, aligned with enterprise risk appetite, regulatory expectations, and industry standards (e.g., ISO 22301, ISO 31000).

Maintain the Crisis Management Framework (CMT charter, regional and site structures, severity levels, escalation criteria) and a comprehensive resiliency program.

Partner with Enterprise Risk, Cyber, IT, Corporate Real Estate, HR, Legal, Compliance, and Operations to ensure a coordinated operational resilience posture.

Crisis Management Leadership - Serve as primary crisis advisor to the CSO and Corporate Crisis Management Team (CMT) during multi-region or high-impact events (safety, security, cyber-physical, operational, reputational, geopolitical).

Ensure clear, rehearsed activation protocols and handoffs between GSOC, regional/site IMTs, and the CMT; assume incident commander / deputy CMT lead role when required.

Maintain and regularly update scenario playbooks (e.g., cyber outage with physical impact, regional conflict, terrorism, civil unrest, severe weather, major vendor failure).

Preparedness Management - Assess existing prepare/recover methodologies and develop an integrated Resiliency framework.

Work closely with cross-functional teams to understand existing protocols for key functions and locations.

Global Threat Intelligence – Leadership & Integration - Oversee the Global Threat Intelligence function, setting collection and analysis priorities based on the firm’s footprint and risk profile (geopolitics, terrorism, civil unrest, crime, cyber-physical, climate, regulatory/social trends).

Ensure production of concise, decision-ready products (country profiles, flash alerts, risk outlooks, executive briefs) that drive specific crisis management and resiliency actions.

Define clear triggers from intelligence to action (travel limitations, office posture changes, additional security measures, CMT/IMT activation, exercise themes).

Exercises, Training & Culture - Design and run global crisis exercises for the C-suite and regional leadership; oversee regular regional and site tabletop and functional drills.

Set standards and content for resiliency and intelligence-related training (CMT, IMTs, GSOC, BC coordinators) and support awareness campaigns in partnership with HR and Communications.

Drive a resilience culture, ensuring leaders know their roles in crises and staff understand core response actions and reporting channels.

Continuous Improvement & External Engagement - Lead After-Action Reviews for major incidents and exercises; track and close corrective actions, feeding lessons into strategy, policies, and plans.

Maintain dashboards and metrics on crisis events, threat environment, and readiness, for regular CSO and Board-level reporting.

Represent the firm in industry forums on resiliency and threat topics; maintain working relationships with peer institutions, law enforcement, emergency services, and key vendors.

Experience & Qualifications - 12–15+ years in crisis management, business continuity, corporate security, intelligence, or operational resilience.

Experience in a global financial institution or similarly complex, regulated environment preferred.

Proven track record leading complex, multi-jurisdiction incidents and senior-level exercises, including direct interaction with C-suite and Boards.

Demonstrated experience building or maturing resiliency and/or intelligence programs (frameworks, governance, metrics, tooling).

Strong understanding of global threat landscapes (geopolitical, terrorism, civil unrest, climate, cyber-physical) and their impact on financial markets, operations, and staff safety.

Deep familiarity with relevant standards and regulatory regimes (e.g., ISO 22301, operational resilience frameworks in UK/EU/US/APAC).

Exceptional executive communication and influence skills, capable of synthesizing complex information into clear recommendations under time pressure.

Core Competencies - Strategic and systems thinking; able to connect threats, operations, and business outcomes.

Calm, structured leadership and sound judgment under pressure.

Strong analytical mindset with an intelligence-led, risk-based approach.

High integrity, discretion, and sensitivity to privacy, legal, and cultural differences across countries.

Program and change management skills, with the ability to drive adoption across regions and functions.

The estimated base salary range for this position is $160,000 to $250,000, which is specific to New York and may change in the future.

XML job scraping automation by YubHub

The Forecasting Director, Oncology leads the US forecasting process for Gynecology+ Genitourinary indications and the LYNPARZA brand in the Oncology portfolio. As a thought partner to the business, the Forecasting Director will develop product-specific short-term and long-term forecasts and provide critical insights into market risks & opportunities that may impact performance to ultimately guide commercial strategy and decision-making.

Strong analytical and critical thinking skills are essential to developing rigorous forecasts using patient-flow / patient-based models and incorporating new AI capabilities. The Forecasting Director seamlessly collaborates with Insights and Analytics colleagues to deliver fact-driven, actionable insights to the business.

In addition, the Forecasting Director will closely partner with Marketing, Sales, Market Access, Sales Operations, Global Analytics & Insights, Supply Planning, and Finance to ensure alignment on forecast assumptions and narrative. The Forecasting Director regularly presents to senior leaders the forecast and performance story.

Key abilities include consultative and influencing skills, quantitative technical skills, and proficiency in interpreting primary market research / secondary data analyses. The Forecasting Director's deep expertise in forecasting enables them to solve complex technical challenges efficiently and effectively, anticipate upcoming forecast questions, and identify innovative solutions, including AI, that benefit the entire portfolio.

Beyond brand-level contribution, the Forecasting Director plays an integral role as a leader within the US Oncology Forecasting & Performance CoE (Center of Excellence), helping to deliver cross-brand forecasting alignment, efficiencies, best practices, and capability builds. In addition, the Forecasting Director will help to coach and train a forecasting & performance talent pipeline.

This role reports to the Integrated Insights Senior Director for the Tumor Franchise and sits within US Integrated Insights - Oncology Business Excellence organization, an inclusive team that partners with the US Oncology commercial organization to drive strategic decisions by providing objective, data-driven insight generation and analytics.

Roles & Responsibilities:

• Lead the US forecasting and business planning processes and all associated work streams for covered brand / indications (scenario planning, integration with Finance, etc.)

• Develop, build, and maintain up-to-date product-specific short-term and long-term forecasts models, synthesizing an integrated picture with information across multiple sources; as required, manage external agency executing the model build/update

• Proactively and clearly identify key drivers that impact short-term and long-range product and market forecasts, highlighting significant risks and opportunities

• Incorporate AI analytical tools into the forecast process and drive continuing enhancements of the AI forecasting platform

• Collaborate cross-functionally with key commercial leaders, Business Excellence colleagues, and other forecast stakeholders to align on objective, data-driven forecast inputs

• Provide in-depth analyses of underlying drivers of brand performance in support of key business deliverables and milestones (e.g. Quarterly Business Reviews)

• Monitor external environment to stay up to date on the competitive landscape and latest market developments for covered brand/indications as well as broader Oncology trends

• Consult on primary research and secondary analytics relevant to forecasting, and incorporate results into modeling to add deep customer insight and assess future events

• Deliver insightful, objective presentations to senior leaders (e.g., SVP US Commercial Oncology, VP of US Franchise) that clearly and succinctly highlight critical insights and business implications through strong storytelling

• Collaborate with senior US leaders on performance narrative for C-level audience

• Maintain effective relationships with contractors and other third-party vendors through oversight of the vendor management process

• Direct and help prioritize work of Forecasting & Performance Associate Directors, Sr. Managers, and Sr. Analysts

• Work with US Oncology Forecasting Center of Excellence Senior Director to build forecasting capabilities and identify and drive cross-brand forecasting process efficiencies, automation, and innovation (including AI capabilities)

XML job scraping automation by YubHub

As a Medical Director, Early Clinical Development, Oncology, you will have a clinical background and be driven by science and the desire to develop novel therapies for cancer patients. You will possess a proficiency in the drug development process, particularly early phase clinical trials, protocol writing and study conduct, data review and reconciliation, and what it takes to lead teams successfully.

This position offers the opportunity for growth and development while working in a vibrant environment. AstraZeneca is in a period of tremendous growth and acceleration in the oncology portfolio. This is a fast-paced and dynamic work environment where, with growing levels of responsibility.

Typical responsibilities may include:

• Providing long-range clinical planning in early clinical trial development, planning and managing of clinical research projects and clinical development programs in oncology.
• Serving as the Project Medical Monitor while working in a cross functional environment with representatives from other involved line functions as well as Late-Stage Development.
• Contributing to and supporting Department/Clinical initiatives to improve the quality and content of all clinical programs as well as the cross functional/organization processes designed to effectively deliver our R&D portfolio.
• Establishing and approving scientific methods for design and implementation of applicable clinical protocols, data collection systems, and final reports;
• Playing a role in designing clinical development plans and overall strategy for compounds, therapeutic classes of compounds or indications in light of developments in the area of clinical and pharmaceutical oncology;
• Participating in identification, selection and conduct of negotiations with clinical research centers and investigators;
• Participating in the selection and management activities of CROs;
• Supervising project team members in planning, conducting and evaluating clinical trials;
• Leading all aspects of planning and management of investigator meetings, advisory boards and other scientific committees.

Essential Requirements:

• M.D degree or equivalent.
• Strong preference for individuals with clinical training in oncology or hemato-oncology.
• At least 3 years of experience in clinical research and/or oncology drug development in pharmaceutical, academic or CRO environment.

Preferred Requirements:

• PhD in a relevant research area is preferred.
• Significant experience in the pharmaceutical/life sciences industry in a function aligned to clinical development and early or late stage clinical trials.
• Medical specialty and sub-specialty training and Board Certification.
• Excellent oral and written skills, strong interpersonal and listening skills with a focus on results and sound outcomes.
• Proven leadership skills and demonstrated ability to interact collaboratively in a cross-functional environment.
• High level of emotional intelligence; able to deal with ambiguity.
• Able to relate to varied level audiences across the organization; able to set priorities for team and maintain accountability; skillful in negotiating organizational boundaries and hierarchy; able to build effective teams.
• Experience in molecular oncology and/or translational science.

The annual base pay for this position ranges from $249,827 to $374,740.

XML job scraping automation by YubHub

You will be accountable for leading the developing and delivering critical components of the US brand strategy in partnership with the cross-functional (XF) team,translating strategy into high-quality pre-launch and launch execution.

This role requires an outcomes-focused leader, ideally with previous people leadership experience, who can motivate cross-functional partners, guide country teams, and exercise evaluative judgment in complex, ambiguous situations.

You have a passion for campaign marketing, an eye for detailed planning, and the ability to assess multiple angles to develop pragmatic solutions.

Your initiatives are rooted in robust market research and a sharp understanding of the external environment.

Major Duties and Responsibilities:

As the Director, Marketing - COPD you will be accountable for:

Brand Plan Development & Implementation: Lead the development and implementation of the US pre-launch and promotional activity plan, ensuring quality, compliance, and measurable impact.

Lead US Initiative Roll-out Plans: Lead the roll-out of US initiatives, projects, and engagement plans (e.g., campaigns, brand forums, congress strategy and presence), with a focus on T8 markets and scalable toolkits.

Market Partnership and Execution: Engage closely with local marketing teams to ensure flawless, aligned execution of the promotional plan; collect and synthesize market feedback to refine guidance.

Strategy Input and GSP: Provide promotional input to the US strategy, including positioning, messaging, and priority initiative recommendations.

External Engagement and Advocacy: Engage with KEEs and other priority stakeholders to gather input that informs the promotional strategy and activity plan, supporting advocacy development and evidence-led storytelling.

Omnichannel and C360 Enablement: Support segmentation, journey mapping, and content operations in C360; track channel performance and drive continuous optimization of HCP and patient engagement.

AI Enabled Ways of Working: Champion responsible use of AI to enhance content creation, tagging, and analytics; document learnings and best practices for scale.

Agency and Budget Operations: Manage day-to-day agency briefs, timelines, and deliverables; support PO creation, budget tracking, and investment reporting.

Performance Tracking: Maintain dashboards, KPIs, and leading indicators; contribute to business reviews and implement course corrections on owned initiatives.

Requirements/Qualifications:

Education: Bachelor's degree is required with business degree or scientific expertise as preferred

Experience:

Strong in market experience launching biologics, preferably in respiratory; specialty care experience required.

Demonstrated experience leading marketing campaign implementation in a global role or a significant global market.

In-depth understanding of commercial strategy, methodologies, and tools, including product profiling and positioning, forecasting inputs, pricing and reimbursement, market research techniques, and competitive intelligence.

Proven experience engaging external customers (e.g., KEEs, prescribers, payers) and translating insights into actionable plans.

Special Skills/Abilities:

Strong planning and project management, with the ability to manage complex, multi-stakeholder initiatives and deliver at pace.

Demonstrated ability to lead without authority and influence across functions and geographies.

Ability to gauge feasibility, impact, and risk of proposed programs; data-driven decision-making.

Strong leadership and influencing skills to ensure commercial focus in global projects.

Demonstrated ability to bring ideas to action and deliver measurable outcomes.

Robust analytical, organizational, and communication skills (written and verbal).

Proven collaborator who operates well amid ambiguity, simplifies complexity, and manages multiple priorities.

Total Rewards: The annual base pay (or hourly rate of compensation) for this position ranges from $193,898 to $290,847. Our positions offer eligibility for various incentives,an opportunity to receive short-term incentive bonuses, equity-based awards for salaried roles and commissions for sales roles. Benefits offered include qualified retirement programs, paid time off (i.e., vacation, holiday, and leaves), as well as health, dental, and vision coverage in accordance with the terms of the applicable plans.

XML job scraping automation by YubHub

The position holder will be part of the Corporate Sales US team supporting Front Office sales team, Management, COO through the provision of key client insights and services. You will work closely with the COO office, Corporate Sales regional/country heads and sales leads in onshore locations.

Your responsibilities will include executing market research and market commentary writ-ups, building actionable intelligence across the corporate client base, maintaining Corporate Sales Marketing content hub, handling global stakeholders, incorporating external market information into the analytics function, preparing pre-meeting client packs for sales team members, and providing commentary on industry trends.

You will also support Corporate Sales regional heads on ad-hoc as well as Business as Usual (BAU) data and other ad-hoc requests.

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.

XML job scraping automation by YubHub

This is a career-defining opportunity to build a modern, high-performing global application function from the ground up and influence how our technology supports growth, scalability, and operational excellence.

Responsibilities:

• Lead the SAP S/4HANA Transformation: Own the successful execution, deployment, and post-go-live support of our global ERP implementation, standardizing processes across all legal entities.

• Build a Global Application Function: Establish the organisational structure, talent, and sustainable operating model for a world-class, global Enterprise Applications department, balancing internal capabilities with external expertise.

• Define and Execute the Application Strategy: Develop the roadmap for our core business applications, including our CRM platforms potentially, ensuring they align with our expansion and new product initiatives.

• Drive Commercial Integration: Ensure seamless, robust, and scalable integration between the core ERP system and our customer-facing systems, particularly our Global E-Commerce Platform, to enable aggressive sales expansion.

Requirements:

• Builder-Leader track record: Proven experience building and leading an Enterprise Applications function within a startup or scale-up (or similar mid-market) environment. Strong track record of end-to-end ownership of initiatives, with the ability to operate seamlessly between strategy and execution in high-growth, fast-moving organisations.

• International Experience: You have a proven track record of managing globally distributed models and possess the cultural agility required to lead critical projects across diverse geographies.

• Proven ERP Transformation Success: Extensive, hands-on experience leading large-scale ERP and CRM implementations/migrations ($300M+ organisations), with a strong preference for SAP S/4HANA Cloud or comparable modern ERP systems.

• Enabling Leadership: Experience building support models and processes that balance agility and business needs with the need for security and operational stability, moving the organisation toward best practices.

• Business Acumen: Deep understanding of the core processes in a consumer electronics/media business (e.g., Order-to-Cash, Procure-to-Pay, Record-to-Report).

• Excellent Communication: A track record of successfully influencing and communicating complex technical and organisational topics to the C-suite and business stakeholders.

XML job scraping automation by YubHub

The Market Development Manager will support the development and execution of Polestar's commercial and business development initiatives in Canada. You will work closely with senior leaders and cross-functional teams to help translate commercial strategy into actionable plans, market insights, and measurable outcomes.

This role operates at the intersection of business development, pricing and offers, product, business support, remarketing/pre-owned, forecasting, and market intelligence. You will both support leadership priorities and lead defined projects and initiatives, contributing to Polestar Canada's commercial performance and long-term growth.

Responsibilities:

• Contribute to the development and execution of Canadian commercial strategies, including pricing, offers, and go-to-market initiatives
• Support the identification and evaluation of new market opportunities and strategic initiatives across retail, B2B, and pre-owned channels in Canada
• Act as a project lead for key business development and commercial projects, from initial analysis through to execution in collaboration with cross-functional teams
• Build and maintain a deep understanding of industry and market dynamics, competitive landscape, and consumer trends to support strategic decision-making
• Support in development of ongoing pricing frameworks, lease structures, incentives, customer-facing offers and other projects as needed with data-driven analysis and recommendations
• Collaborate with internal teams and stakeholders to define forecasting, sales planning and order management
• Support senior leadership in shaping and delivering on new commercial initiatives and programs
• Track, analyze and translate market performance KPI's into actionable recommendations to leadership
• Contribute to communications with Polestar's retailer network on programs and initiatives as needed

Requirements:

• Bachelor's degree in business administration, economics, engineering, or a related field
• 4–7 years of experience in a similar role managing business development, commercial strategy, sales operations, or automotive market intelligence
• Demonstrated ability to manage multiple, complex projects with competing priorities and stakeholders
• Excellent communication skills, written and verbal, with the ability to communicate complex narratives up to executive level team members
• Solid understanding of automotive industry and commercial models
• Proven ability working with complex data to create in depth market analysis, pricing and commercial modelling
• Comfortable working cross-functionally
• Experience in a global organization is an asset
• Fluency in English and French, both written and verbal is highly desirable

XML job scraping automation by YubHub

Ideally, you will have 6+ years of financial analysis experience working directly in a Corporate Finance or a Strategic Finance role, with 2 years of investment banking or top-tier consulting experience. You will have demonstrated excellent project management skills, ability to manage and manipulate large data sets, critically analyze existing processes, and identify opportunities for process improvement. You will have strong knowledge of Google Suite, and MS Office (Excel, Word, PowerPoint); expert Excel modeling skills.

The ideal candidate will be a strong communicator with excellent interpersonal skills to manage various stakeholders. You will be able to work closely with department heads on real-time high-priority business issues and use quantitative insights to drive better decision-making across the organization.

XML job scraping automation by YubHub

We’re looking for a high-performing, all-rounded finance athlete to join our team and support the rapidly growing Generative AI (GenAI) business. You’ll collaborate closely with Product, Operations, Growth, and Go-to-Market leaders to bring financial rigor to decision-making, develop actionable insights that drive strategy, and build scalable systems as the business expands.

This role is ideal for someone with 4-6 years of experience in a fast-paced, high-growth environment. Someone who thrives in ambiguity, can juggle multiple workstreams, and brings a mix of analytical rigor, business acumen, and strong execution.

You will:

• Own and evolve part of the GenAI financial forecasting model, driving accuracy and insight across planning cycles
• Support reporting and performance management, including weekly and monthly reviews, consolidations, and ad hoc analyses
• Partner with GenAI leadership and cross functional teams to evaluate and execute key strategic and operational initiatives that scale the business multifold
• Conduct financial analyses and build business cases for new products, partnerships, and investments
• Collaborate with Accounting, and Corporate Finance to improve close, reporting, and planning cadences
• Continuously improve financial processes and systems to enhance scalability, forecast precision, and data visibility

Ideally, you'd have:

• 4–6 years of experience in Strategic Finance, FP&A, or Business Operations, ideally within a high-growth technology company
• 2 years of investment banking experience at a top-tier firm
• Strong analytical and financial modeling skills; ability to translate complex data into actionable insights
• Excellent communication skills, with the ability to distill complexity into clear narratives for non-finance stakeholders
• Advanced proficiency in Excel, Google Sheets, and PowerPoint; strong command of financial modeling best practices
• Experience with SQL or Business Intelligence tools (e.g., Looker, Tableau)
• Familiarity with Anaplan, Adaptive Insights, or other planning systems

Nice to haves:

• Bachelor’s degree in Finance, Accounting, Economics, Engineering, or a related field
• Prior experience supporting Product, Engineering, Growth, or Operations teams within a technology company

XML job scraping automation by YubHub

Ideally, you will have 5+ years of experience in intellectual property law at a top-tier law firm and/or in-house legal department, with experience advising on broader product or regulatory matters. You will have a JD and active membership in at least one U.S. state bar (California preferred) in good standing. You will have strategic thinking, risk calibration, collaboration, agility, and organizational skills. You will have a deep interest in artificial intelligence, generative AI, and machine learning technology, with the ability to engage effectively with technical teams.

XML job scraping automation by YubHub

You will design and ship high-precision detections across cloud services and enterprise SaaS, develop automation that shortens response timelines, and mature the telemetry pipelines that make it all possible. Your ability to write production-quality code is just as important as your ability to triage an alert.

Responsibilities:

• Engineer, test, and deploy detection logic across cloud and enterprise environments, treating detections as software with version control, peer review, and measurable performance.

• Build and maintain incident response automation, runbooks, and tooling that reduce containment timelines without sacrificing developer velocity.

• Mature telemetry pipelines through improved schema design, normalization, enrichment, and quality checks that reduce false positives and increase signal fidelity.

• Perform digital incident investigations to identify and contain potential security breaches.

• Conduct digital forensics and malware analysis to understand attack vectors and adversary methodologies.

• Integrate alerting with messaging and ticketing systems to enable fast, traceable response workflows.

• Partner cross-functionally with IT, security, and engineering teams to harden identity and access patterns, close logging and forensics gaps, and implement maintainable guardrails that scale with the organisation.

• Utilize threat intelligence platforms to improve hunting, detection, and response workflows.

• Clearly explain the significance and impact of incidents, providing actionable recommendations to both technical and non-technical stakeholders.

Ideal Candidate:

• 5+ years of experience in Detection Engineering, Incident Response, or Security Operations, with a strong emphasis on building and shipping security tooling and automation.

• Proficiency in at least one programming language (e.g., Python, Go) and comfort writing production-grade code , not just scripts.

• Hands-on experience designing or improving detection pipelines, SIEM content, and alerting workflows in cloud-native environments.

• Practical experience with SIEM, EDR, and SOAR tools, with a preference for candidates who have built integrations or extended these platforms programmatically.

• Strong understanding of modern cyber threats, common attack techniques, and adversary TTPs.

• Familiarity with digital forensics tools and malware analysis techniques.

• Experience with cloud-native environments (e.g., AWS, GCP, Azure) and the security telemetry those environments generate.

• Exposure to threat intelligence platforms and integrating intel into detection and investigation workflows.

• Strong communication skills, with the ability to translate complex security findings into clear business impact.

• Relevant security certifications (e.g., GCIH, GCFA, GCIA, CISSP, GDSA) are a plus.

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

XML job scraping automation by YubHub

You will lead the content and social strategy for Scale Labs' dedicated online presence, taking a research-native approach that earns attention and credibility from the AI community. You will build and maintain competitive intelligence and a sharp point of view on the data market, arming the team with differentiated positioning as the market evolves.

You will partner with Scale Labs researchers to amplify published work - leaderboards, benchmarks, and research papers - and translate it into pipeline and demand generation for the GenAI business. You will develop go-to-market strategies for new data offerings and modalities, working closely with product and sales to drive awareness and build market momentum.

You will collaborate cross-functionally with sales, engineering, and research to ensure consistent, compelling messaging across every customer touchpoint.

Ideally, you'd have 5+ years of experience in product marketing, with a track record of marketing technical products to developer or research audiences. You should have strong technical fluency and passion for AI, with the ability to hold a credible conversation about AI/ML fundamentals, training, and the role of data quality in model performance.

You should also have experience building social-native content and community strategies on platforms like X, with an instinct for what resonates with technical practitioners. You should have excellent written communication and storytelling skills, with the ability to make complex technical concepts compelling without oversimplifying them.

Nice to haves include familiarity with the AI training data market, or adjacent data and infrastructure spaces, as well as an existing network or relationships within the AI research community.

XML job scraping automation by YubHub

As part of this role, you will collaborate with a dynamic, geographically distributed policy team on a variety of projects, including analysing policy proposals, drafting submissions to requests for public comment, planning and executing policy campaigns in Australia, and providing policy advice to technical colleagues. This is a foundational hire , you will be building Anthropic's policy presence in Australia from the ground up, aligned with the opening of our office in Sydney. This role will also advance our work in the broader region.

In this role, you will:

• Conduct comprehensive mapping of key Australian AI policy stakeholders and build strategic relationships with government officials, think tank researchers, and civil society leaders across federal and state/territory levels

• Brief a diverse set of policy and research actors looking to better understand AI safety and AI policy opportunities in the Australian context

• Convene diverse stakeholders and speak at policy events such as research announcements, discussion panels, or workshops on AI safety topics

• Analyse emerging legislation and develop Anthropic's engagement strategy, including preparing substantive policy submissions and response documents

• Support senior colleagues in external engagements by preparing meeting briefs and taking action on follow-up requests

• Develop new programming and generate opportunities for Anthropic to regularly engage with Australian policymakers, think tanks, and non-profit organisations

• Collaborate with policy and technical teams to translate Anthropic research into concrete policy proposals, stakeholder education, and thought leadership opportunities tailored to the Australian regulatory environment

• Develop and amplify public submissions, responses to requests for information (RFI), and policy memos written by Anthropic to drive positive change in AI policy

• Partner with non-profit organisations and academic researchers to publish discussion papers and policy memos on how to enable responsible AI research and development

• Develop and execute a convening strategy, including workshops or panels that position Anthropic as a thought leader in AI safety and governance in Australia

You may be a good fit if you:

• Have 10+ years of professional experience in government, technology, legal, and/or other policy-relevant environments

• Have a track record of effective, information-rich advocacy with Australian government authorities at the federal and/or state level

• Have experience analysing legislation and engaging in regulatory processes

• Are energised by agency , you will be the first policy hire in Australia and will be building the operation from scratch

• Enjoy drafting and executing complex policy campaigns that move the needle

• Thrive when engaging with policymakers, civil society, and think tanks to translate complex technical topics into accessible and relevant information

• Excel at translating high-level vision into executable operational plans

• Have demonstrated an ability to quickly get up to speed on complex technical areas and policy dynamics

• Are deeply curious about frontier technological research and are eager to work closely with technical colleagues to translate new discoveries into policy outcomes

Preferred qualifications include:

• AI/technology industry experience (heavily preferred)

• Experience working with international companies or organisations

• Academic or think tank background in AI policy or related fields

• Experience in both government and private sector roles

• Familiarity with intelligence and security cooperation frameworks

XML job scraping automation by YubHub

Location: San Francisco, CA

At Scale, we're developing reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact.

We're looking for a Robotics Quality Lead I to join our team. As a Robotics Quality Lead I, you will hold primary accountability for the facility's performance during your assigned shift. This role ensures the seamless integration of human capital, robotic systems, and data integrity.

Responsibilities:

Organizational Leadership - Direct Span of Control:

• Provide strategic and tactical direction across all roles on the shift including Operations Specialists, Technicians, and Data Collectors.

Employee Experience & Advocacy:

• Serve as the guardian of the workplace experience. Proactively identify the demands and requirements of the shift staff, transforming feedback into actionable initiatives that enhance operational ergonomics, engagement, and overall workplace satisfaction.

Mentorship:

• Utilize structured 1:1 coaching sessions as the primary mechanism to discuss career path, provide performance feedback, and prepare career paths for operators and supervisors.

Operational Excellence & Metric Accountability:

• Maintain full accountability for shift-level performance in Safety, Quality, Productivity, and Cost.

• Partner with the Robotics Technical team to ensure maximum equipment uptime. Serve as the primary escalation point for any operational disruptions, ensuring rapid resolution to maintain data collection targets.

• Oversee complex labor planning and headcount allocation, ensuring that all team members are effectively deployed against the site's daily objectives.

Advanced Data Analysis & Problem Solving:

• Execute analysis of shift performance data. The Shift Lead must demonstrate the ability to identify statistical outliers and performance trends, translating raw data into technical or behavioral insights.

• Lead formal Root Cause Analysis (RCA) processes (e.g., 5-Whys, Fishbone) to address complex operational variances and implement preventive measures to ensure long-term stability.

Stakeholder Collaboration:

• Collaborate daily with Quality Management, Engineering, and on-site Maintenance teams to synchronize efforts. Facilitate formal shift handovers to ensure the precise transfer of critical information and operational status between leadership teams.

Ideal Candidate:

• Experience: 3+ years in high-volume manufacturing, automated logistics, or technical operations. Significant leadership capacity managing large-scale teams

• Analytical Expertise: Advanced proficiency in operational data analysis and the use of business intelligence tools to drive informed decision-making.

• Methodological Rigor: Expert knowledge of Lean Manufacturing principles and standardized problem-solving frameworks.

• Education: Bachelor’s degree in Industrial Engineering, Robotics, Mechanical/Electrical Engineering, or a related technical field; alternatively, an equivalent combination of education and extensive industry experience will be considered.

• Communication: Exceptional verbal and written communication skills in both English and Spanish, with the ability to present complex operational reports to executive leadership.

Salary and Benefits:

• Compensation packages at Scale for eligible roles include base salary, equity, and benefits.

• The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.

• Scale employees in eligible roles are also granted equity-based compensation, subject to Board of Director approval.

• You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO.

Additional Benefits:

• This role may be eligible for additional benefits such as a commuter stipend.

Please note that our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

About Us:

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact.

We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force.

We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace.

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities.

If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com.

Please see the United States Department of Labor's Know Your Rights poster for additional information.

We comply with the United States Department of Labor's Pay Transparency provision.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates.

We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws.

Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data.

Please see our privacy policy for additional information.

XML job scraping automation by YubHub

You will combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex mission challenges while maintaining our high standards for safety and reliability.

Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.

Responsibilities:

• Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation

• Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success

• Support customers building with Claude Code, the Claude API, and Claude for Enterprise

• Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives

• Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack

• Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases

• Identify common integration patterns and contribute insights back to our Product and Engineering teams

• Travel frequently to customer sites for workshops, technical deep dives, and relationship building

• Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns

You may be a good fit if you have:

• TS/SCI clearance required

• Must have prior experience working with US national security (defense and/or intelligence) agencies

• 5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager

• Experience navigating complex buying cycles involving multiple stakeholders

• Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more

• Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders

• Experience designing scalable cloud architectures and integrating with enterprise systems

• Familiar with Python

• Familiarity with common LLM frameworks and tools or a background in machine learning or data science

• Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities

• A love of teaching, mentoring, and helping others succeed

• Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities

• Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems

The annual compensation range for this role is $240,000-$270,000 USD.

Logistics:

• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

• Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

• Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links,visit anthropic.com/careers directly for confirmed position openings.

How we're different:

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact , advancing our long-term goals of steerable, trustworthy AI , rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to

XML job scraping automation by YubHub

You will provide tactical direction across all collection roles on the shift, serve as the guardian of the workplace experience, and identify the demands and requirements of the shift staff.

Key responsibilities include maintaining full accountability for shift-level performance in Quality, ensuring data collection is staged for success with minimal Collector overhead, and serving as the primary escalation point for any operational disruptions.

Additionally, you will become an expert in understanding customer needs and the operational implementation required to deliver them, ensure Collection team is meeting these expectations, and execute analysis of quality, diversity, and distribution data.

Ideal candidates will have experience in high-volume manufacturing, automated logistics, or technical operations, analytical expertise, methodological rigor, and exceptional verbal and written communication skills in both English and Spanish.

XML job scraping automation by YubHub

You will:

• Provide strategic and tactical direction to a shift organization of 100 people, including Operations Supervisors, Robotics Technicians, and Data Collection Associates.
• Serve as the guardian of the workplace experience, proactively identifying the demands and requirements of the shift staff, transforming feedback into actionable initiatives that enhance operational ergonomics, engagement, and overall workplace satisfaction.
• Utilize structured 1:1 coaching sessions as the primary mechanism to discuss career path, provide performance feedback, and prepare career paths for operators and supervisors.
• Maintain full accountability for shift-level performance in Safety, Quality, Productivity, and Cost.
• Partner with the Robotics Technical team to ensure maximum equipment uptime, serving as the primary escalation point for any operational disruptions, ensuring rapid resolution to maintain data collection targets.
• Oversee complex labor planning and headcount allocation, ensuring that all team members are effectively deployed against the site's daily objectives.

Ideally, you'd have:

• Experience: 6+ years in high-volume manufacturing, automated logistics, or technical operations.
• Analytical Expertise: Advanced proficiency in operational data analysis and the use of business intelligence tools to drive informed decision-making.
• Methodological Rigor: Expert knowledge of Lean Manufacturing principles and standardized problem-solving frameworks.
• Education: Bachelor's degree in Industrial Engineering, Robotics, Mechanical/Electrical Engineering, or a related technical field; alternatively, an equivalent combination of education and extensive industry experience will be considered.
• Communication: Exceptional verbal and written communication skills in both English and Spanish, with the ability to present complex operational reports to executive leadership.

XML job scraping automation by YubHub

Responsibilities:

Go-to-Market Strategy:

• Own the Go-to-Market planning process, including quarterly and annual cycles, and collaborate with Finance on target setting.
• Develop the strategy for segmenting territories and accounts.
• Identify market opportunities, assess competitive dynamics, and inform regional expansion priorities.
• Support Go-to-Market execution for alliances, focusing on co-selling, managing the partner pipeline, and facilitating joint planning.
• Analyze region-specific sales metrics and pipeline dynamics to develop proactive insights.

Cross-Functional Leadership:

• Lead collaboration across Strategy and RevOps, Sales Enablement, Strategic Finance, Product, and Marketing teams to ensure alignment.
• Prepare executive-level materials including performance reviews, strategic planning sessions, and board updates.
• Drive cross-functional alignment on go-to-market execution.

Operations & Infrastructure:

• Execute critical processes including strategic account transitions, CRM configurations, and market data management.
• Optimize the sales technology stack and ensure effective adoption of Salesforce and other sales tools.
• Ensure smooth operations across complex, multi-stakeholder sales motions typical in enterprise B2B software.

Requirements:

• 8-10+ years of experience in B2B SaaS or enterprise software, including direct experience in sales strategy, revenue operations, or commercial GTM roles
• Strong analytical capabilities with demonstrated ability to convert complex data into actionable insights
• Proven experience designing territories, setting quotas, and building variable compensation plans for enterprise sales teams
• Extensive experience with enterprise CRM systems (Salesforce required) and business intelligence tools
• Strong cross-functional skills with the ability to influence without direct authority and partner effectively with C-level stakeholders and senior sales leadership
• Experience advising or partnering with regional leadership on GTM strategy
• Business-level Japanese required; English proficiency strongly preferred

Preferred Qualifications:

• Track record of scaling sales organizations through 3x+ growth periods in B2B software
• Experience in Chief of Staff or Business Operations roles supporting regional leadership, go-to-market strategies for alliances, or consulting
• MBA or advanced degree

XML job scraping automation by YubHub

At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences.

About the job

This position is needed to growing and developing pipeline for Twilio’s New Business and Strategic Sales teams. The Sales Development organization is a strategic component of Twilio’s overall go-to-market strategy.

Responsibilities

In this role, you’ll:

• Break into new companies and markets using a multi-channel, value-based approach focused on building relationships and driving awareness of Twilio’s platform.

• Receive all the necessary training and insights to confidently begin contacting prospects through Twilio’s SDR onboarding experience.

• Achieve and exceed monthly goals for generating new business opportunities to fuel the sales pipeline.

• Become a master of Salesforce, Outreach, Sales Navigator, and other tools essential for efficient workflows.

• Research accounts to determine how Twilio’s solutions can provide value, then execute outbound dials, personalized emails, and social selling.

• Work in partnership with Account Executives to develop account strategies, territory plans, and successfully generate new business opportunities.

Qualifications

Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply.

If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!

*Required:

• Growth-oriented and ready to build toward future leadership or customer-facing roles

• Goal-oriented and biased toward action (our quota is the floor, not the ceiling!)

• Excited to go above and beyond to delight prospects through creative, strategic, highly personalized outreach

• Comfortable with change and energized by a fast-moving environment

• Enjoy variety and creativity in your day-to-day workflow

• Have a demonstrated ability to navigate challenges with resilience

• Embrace responsibility and enjoy partnering with Account Executives as part of a team

Desired:

• 1+ year of customer-facing experience

Location

This role will be remote, and based in Ireland.

Travel

We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings.

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.

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!

XML job scraping automation by YubHub

Key responsibilities include:

• Owning the creation of model evaluation from initial hypothesis, data scraping to final publication.
• Deeply analysing why the model failed and identifying semantic patterns, edge cases, and systemic hallucinations in raw model outputs.
• Reviewing raw data sets, meeting transcripts, and research notes to identify the 'so what' and turning these findings into a logical hierarchy.
• Acting as the bridge between the data and the narrative by structuring findings into a logical hierarchy where the most critical 'hook' lands first, followed by the supporting evidence.

As a successful candidate, you will have 5-10 years of experience in DS, ML, AI research and analysis, be a structured thinker, have a high tolerance for ambiguity, and possess executive presence. Experience in Model Evaluation, ML Engineering or Technical Research is a plus.

This role offers a competitive compensation package, including base salary, equity, and benefits. The base salary range for this full-time position in San Francisco is $205,600-$257,000 USD.

XML job scraping automation by YubHub

You will serve as a strategic partner, shaping how we win in Australia and New Zealand while building the operational foundations to scale , and contributing to the broader APJ regional strategy.

You'll start as an individual contributor with the opportunity to build and lead a team over time as the business scales. From day one, you'll work closely with S&O counterparts across Japan, South Korea, Singapore, India, and the wider APJ region to share best practices and drive consistency across the region.

Responsibilities:

Go-to-Market Strategy:

• Own the Go-to-Market planning process for Australia/NZ, including quarterly and annual cycles, and collaborate with Finance on target setting.
• Develop the strategy for segmenting territories and accounts across ANZ, with an eye to how it fits into the broader APJ portfolio.
• Identify market opportunities, assess competitive dynamics, and inform regional expansion priorities , both within ANZ and in coordination with adjacent APJ markets.
• Support Go-to-Market execution for alliances, focusing on co-selling, managing the partner pipeline, and facilitating joint planning.
• Analyze region-specific sales metrics and pipeline dynamics to develop proactive insights, and benchmark against other APJ markets where useful.

Cross-Functional & Regional Leadership:

• Lead collaboration across Strategy and RevOps, Sales Enablement, Strategic Finance, Product, and Marketing teams to ensure alignment.
• Partner with S&O leaders across APJ (Japan, South Korea, Singapore, India, ASEAN) to align on regional standards, share insights, and drive consistency in how we operate across the region.
• Prepare executive-level materials including performance reviews, strategic planning sessions, and board updates for ANZ and APJ leadership.
• Drive cross-functional alignment on go-to-market execution across ANZ and contribute to APJ-wide initiatives.

Operations & Infrastructure:

• Execute critical processes including strategic account transitions, CRM configurations, and market data management.
• Optimize the sales technology stack and ensure effective adoption of Salesforce and other sales tools.
• Ensure smooth operations across complex, multi-stakeholder sales motions typical in enterprise B2B software.

You may be a good fit if you have:

• 15 to 18 years of experience in B2B SaaS or enterprise software, including direct experience in sales strategy, revenue operations, or commercial GTM roles
• Demonstrated knowledge of the broader APJ region, with exposure to GTM dynamics across multiple APJ markets (e.g., ANZ, Japan, South Korea, Singapore, India, ASEAN)
• Strong analytical capabilities with demonstrated ability to convert complex data into actionable insights
• Proven experience designing territories, setting quotas, and building variable compensation plans for enterprise sales teams
• Extensive experience with enterprise CRM systems (Salesforce required) and business intelligence tools
• Strong cross-functional skills with the ability to influence without direct authority and partner effectively with C-level stakeholders and senior sales leadership
• Experience advising or partnering with regional leadership on GTM strategy
• Based in Australia with working proficiency in English

Strong candidates may also have:

• Track record of scaling sales organizations through 3x+ growth periods in B2B software
• Prior people management experience, or readiness to build and lead a team as the function scales
• Experience working across multiple APJ markets or coordinating regionally distributed S&O work
• Experience in Chief of Staff or Business Operations roles supporting regional leadership, go-to-market strategies for alliances, or consulting
• MBA or advanced degree

XML job scraping automation by YubHub

Join the team as Twilio's next Sales Development Representative supporting our New Business and Strategic Sales organizations.

This position is needed to grow and develop pipeline for Twilio's New Business and Strategic Sales teams. The Sales Development organization is a strategic component of Twilio's overall go-to-market strategy.

As a team, we collaborate daily, push each other to do the best work of our lives, and bring an unparalleled level of energy and drive to our jobs.

We're looking for people who have a growth-oriented mindset and want to build their careers within Twilio.

If this role excites you but you think you don't check every box, we still encourage you to apply , we're already looking forward to meeting you.

Responsibilities:

• Break into new companies and markets using a multi-channel, value-based approach focused on building relationships and driving awareness of Twilio's platform.

• Receive all the necessary training and insights to confidently begin contacting prospects through Twilio's SDR onboarding experience.

• Achieve and exceed monthly goals for generating new business opportunities to fuel the sales pipeline.

• Become a master of Salesforce, Outreach, Sales Navigator, and other tools essential for efficient workflows.

• Research accounts to determine how Twilio's solutions can provide value, then execute outbound dials, personalized emails, and social selling.

• Work in partnership with Account Executives to develop account strategies, territory plans, and successfully generate new business opportunities

Qualifications:

• Growth-oriented and ready to build toward future leadership or customer-facing roles

• Goal-oriented and biased toward action (our quota is the floor, not the ceiling!)

• Excited to go above and beyond to delight prospects through creative, strategic, highly personalized outreach

• Comfortable with change and energized by a fast-moving environment

• Enjoy variety and creativity in your day-to-day workflow

• Have a demonstrated ability to navigate challenges with resilience

• Embrace responsibility and enjoy partnering with Account Executives as part of a team

Desired:

• 1+ year of customer-facing experience

XML job scraping automation by YubHub

You will design, build, and maintain scalable data models, curated reporting tables, forecasts, and dashboards that support everyone from senior executives to individual contributors, empowering them to make informed decisions and spend more time driving customer outcomes.

Working closely with cross-functional stakeholders,including Sales, Finance, Marketing, and other data teams,you will tackle complex data challenges by leveraging structured data, building AI-powered querying assistants, and using tools like Databricks Genie to improve data accessibility, streamline insights, and deliver actionable, reliable solutions across the business.

You will also play a key role in advancing our newly created AI initiatives and semantic data curation efforts, helping to establish a strong foundation for advanced analytics, automation, and scalable business intelligence.

The Impact You Will Have:

• Build: You will design and develop analytic tools, including a semantic layer for AI use cases, scalable data models, curated tables, and insightful analyses that empower thousands of field employees and leaders worldwide.

• Architect: You will both manage the requirements gathering and lead execution of strategic analytic projects.

• Scale: You will build and manage relationships with stakeholders across the company but primarily with the GTM strategy and operations team

What we look for:

• You have 4+ years of experience working as an Analyst / Data Engineer / Analytics Engineer with B2B sales, marketing, or finance data (GTM experience highly preferred).

• You are data-savvy with 3+ years of SQL and 2+ years of Python experience. Familiarity with data ecosystems and BI tools (e.g., Databricks, PowerBI) is required.

• You have built for scale. You have experience building scalable and productionizable data models with best practices in mind.

• You integrate AI into your daily workflow. You have hands-on experience using large language model tools (such as Claude or similar) to accelerate analytics work , from drafting and debugging code to synthesizing requirements and generating documentation.

• You're comfortable evaluating AI-generated outputs critically and iterating quickly.

• You are passionate about applying AI to transform GTM teams. You bring experience in delivering AI-driven solutions and have the ability to design innovative use cases as well as structure data models and tables that are optimized for AI readiness.

• You excel in partnering with the business, understanding the impact of your work on GTM, and creating innovative solutions.

• You have a track record of cross-functional collaboration and strong stakeholder relationships.

• You excel in a collaborative environment. You translate team member needs into clear tasks and deliverables for contributors.

• You work through dependencies, bottlenecks, and tradeoffs with ease.

• You have a service-oriented mindset.

• You are curious, creative, and kind.

Pay Range Transparency:

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.

Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location.

Based on the factors above, Databricks anticipates utilizing the full width of the range.

The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.

For more information regarding which range your location is in visit our page here.

Zone 1 Pay Range $133,000-$182,950 USD

XML job scraping automation by YubHub

The AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications.

We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specializations to improve the overall strength of the team.

This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly. This role can be remote.

The impact you will have:

• Develop cutting-edge GenAI solutions, incorporating the latest techniques from our Mosaic AI research to solve customer problems

• Own production rollouts of consumer and internally facing GenAI applications

• Serve as a trusted technical advisor to customers across a variety of domains

• Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally

• Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap

What we look for:

• Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy

• Minimum of 5+ years of relevant experience as a Data Scientist preferably working in a consulting role

• Expertise in deploying production-grade GenAI applications, including evaluation and optimizations

• Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc.

• Experience building production-grade machine learning deployments on AWS, Azure, or GCP

• Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience

• Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike

• Passion for collaboration, life-long learning, and driving business value through AI

• Preferred experience using the Databricks Intelligence Platform and Apache Spark to process large-scale distributed datasets

XML job scraping automation by YubHub

Key responsibilities include:

• Serving as a strategic thought partner to business owners on people-related strategies and employee engagements
• Collaborating with senior leadership to build, develop, and execute people strategies through our next iteration of anticipated growth
• Coaching and advising for best practices within the team
• Developing deep relationships and cultivating trust with all parts of the teams you're supporting

Employee Relations:

• Providing guidance and input on business unit restructures, workforce planning, and succession planning
• Providing HR policy guidance and interpretation
• Managing and resolving complex employee relations issues. Conducting effective, thorough, and objective investigations
• Working closely with management and employees to improve work relationships, build morale, and increase productivity and retention

Organizational Development:

• Autonomously leading the design, implementation, and iteration of new people programs, as well as assessing and improving current people programs
• Helping build and improve processes in a dynamic and high-growth phase
• Leading high-value talent calibrations and compensation planning
• Utilizing people metrics to drive key insights and decisions around growth and retention

Requirements:

• 3+ years of HR Business Partner experience, preferably with engineering client groups
• Bachelor's degree or equivalent industry experience
• Experience across multiple HR/People channels such as compensation & benefits, compliance, employee relations, and learning and development
• Thriving in fast-paced, high-pressure, outcome-oriented environments
• Clear, empathetic, and effective communication
• Excellent interpersonal skills and a high level of emotional intelligence
• Data-driven and detail-oriented

Salary: $129,000 - $171,000 USD

Benefits:

• Comprehensive medical, dental, and vision plans at little to no cost to you
• Generous time off, including a holiday hiatus in December
• Caregiver & Wellness Leave
• Family Planning & Parenting Support
• Mental Health Resources
• Professional Development
• Commuter Benefits
• Relocation Assistance

Retirement Savings Plan:

• Traditional 401(k), Roth, and after-tax (mega backdoor Roth) options

XML job scraping automation by YubHub

You will work across the full agent lifecycle,from model and system design to evaluation, deployment, and iteration,bridging cutting-edge agentic techniques with the constraints and requirements of real customer environments.

Key responsibilities include:

• Design and implement end-to-end agent systems that combine LLM reasoning, tool use, memory, and control logic to solve recurring enterprise use cases.
• Build scalable, reliable agent architectures that can be deployed across many customers with varying data, tools, and constraints.
• Develop evaluation frameworks, datasets, environments, and metrics to measure agent performance, reliability, and business impact in production settings.
• Collaborate closely with product managers, customers, data annotators, and other engineering teams to translate enterprise requirements into robust agent designs.
• Productionize frontier agent techniques (e.g., planning, multi-step reasoning and tool-use, multi-agent patterns) into maintainable, observable systems.
• Own deployment, monitoring, and iteration of agent systems, including failure analysis and continuous improvement based on real-world usage.
• Contribute to technical direction and architectural decisions for general agent development best practices and methods, with increasing scope and leadership at the Staff level.

Ideal candidates will have:

• 5+ years of experience building and deploying machine learning or AI systems for real-world, production use cases.
• Strong engineering fundamentals, supported by a Bachelor’s and/or Master’s degree in Computer Science, Machine Learning, AI, or equivalent practical experience.
• Deep understanding of modern LLMs, prompt-, context-, and system-level optimization, and agentic system design.
• Proven proficiency in Python, including writing production-quality, testable, and maintainable code.
• Experience building systems that integrate models with external tools, APIs, databases, and services.
• Ability to operate in ambiguous problem spaces, balancing research-driven approaches with pragmatic product constraints.
• Strong communication skills and comfort working in customer-facing or cross-functional environments.

Nice-to-haves include hands-on experience building AI agents using modern generative AI stacks, experience with agent frameworks, orchestration layers, or workflow systems, familiarity with evaluation, monitoring, and observability for LLM-powered systems in production, and experience deploying ML systems in cloud environments and operating them at scale.

XML job scraping automation by YubHub

Key responsibilities include:

• Training state-of-the-art models, developed both internally and from the community, to deploy to our enterprise customers.
• Researching cutting-edge algorithms to integrate directly into our training stack.
• Building agents that leverage our proprietary agent-building algorithms to automatically hill climb datasets – including defining highly performant tools, multi-agent systems, and complex rewards.

Ideal candidates will have 1-3 years of building with LLMs in a production environment, experience with post-training methods like RLHF/RLVR and related algorithms like PPO/GRPO, and publications in top conferences such as NEURIPS, ICLR, or ICML within the last two years.

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.

You’ll also receive benefits including comprehensive health, dental, and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

XML job scraping automation by YubHub

As a member of the Corporate Safety & Security team, you'll utilise best-in-class technology to identify potential business disruptions as early as possible and streamline critical emergency response and notification to minimise impact to our people, assets, operations, or brand reputation.

This position is needed to maintain a broad situational awareness over internal and external physical events that could impact employee safety or pose a threat to business assets or operations across Twilio's global footprint.

GSOC Operators monitor a variety of data sources including internal access control systems, external incident aggregators, travel safety applications, and general open source reporting materials.

GSOC Operators serve as the primary contact for employees with physical safety and security questions or concerns.

When an incident occurs, the GSOC Operator may dispatch security resources, escalate to crisis management teams, send broad communications to Twilio employees, or execute a mass notification to account for employee safety.

Responsibilities:

Monitoring and Surveillance - Utilise various physical security asset monitoring and surveillance systems to detect potential unauthorized access, suspicious activity, or other security incidents

Monitor open-source threat intelligence and other internal SaaS tools to maintain situational awareness of persistent or emergency global events with potential or direct impact to operations

Security Operations Support - Support access control and visitor management processes

Manage security-related calls for service and provide general guidance to employees, vendors, and guests

Maintain awareness of business travellers and personnel accessing Twilio facilities

Partner with local site security teams to escalate and dispatch resources for incident and alarm response

Review travel requests to elevated risk locations, assist travellers through the approval process, and cross-reference live itineraries with external incidents

Incident Management - Perform the first point of incident intake across a variety of emergencies, including medical emergencies, natural disasters, fire/evacuation, travel disruptions, and security incidents

Assess and triage events and incidents to determine their impact to operations

Dispatch and coordinate response with emergency response personnel

Communicate effectively on emerging incidents to large audiences to share situational awareness or tactical updates as warranted

Maintain real-time incident documentation for reporting and analysis

Perform Life-Safety checks for Twilio in areas impacted by potentially life-threatening conditions

Participate in post-incident reviews to document and implement corrective action and improvements to future response

Operational Excellence - Maintain a strong understanding of security and emergency standard operating procedures

Utilise critical thinking and problem-solving skills to analyse situations and implement solutions

Support large projects that will improve Twilio's GSOC capabilities and initiatives

Qualifications:

• 3+ years of experience in a GSOC working environment

• Experience with physical safety and security technology, systems (ACS, IDS, VSS, VMS), travel safety, and mass notification tools

• Experience with open-source intelligence (OSINT) research tools

• Strong critical thinking and problem-solving skills

• Proven ability to follow standard operating procedures and playbooks

• Ability to prioritise tasks in a fast-paced environment

• Ability to stay calm, professional, and think clearly in high-stress situations

• Ability to communicate clearly and concisely; verbal and written

• Ability to work 'non-standard' shift hours, to overlap as needed with colleagues and stakeholders in other global locations, including weekend and holiday hours

• English Language Proficiency

Desired:

• Customer service mindset

• Comfortable with a high-tech work environment

• Eager to learn new tools and processes

• Ability to work independently and as part of a team

• Proficiency in Google Suite

Additional Language Proficiency

Shift Details: Variable (8–10-hour shifts)

Must be flexible to work holidays, weekends, and occasional overtime.

Travel: Approximately 10% travel is anticipated to help you participate in project or team in-person meetings to help you connect 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 programme, 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 estimated pay ranges for this role are as follows:

• Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C.: $26.27 - $32.84

• Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $27.77 - $34.71

• Based in the San Francisco Bay area, California: $30.85 - $38.56

• 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.

Applications for this role are intended to be accepted until November 15 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!

XML job scraping automation by YubHub

Mixpanel turns data clarity into innovation. Trusted by more than 29,000 companies, including Workday, Pinterest, LG, and Rakuten Viber, Mixpanel’s AI-first digital analytics help teams accelerate adoption, improve retention, and ship with confidence. Powering this is an industry-leading platform that combines product and web analytics, session replay, experimentation, feature flags, and metric trees.

About the Customer Success Team:

Mixpanel’s Customer Success & Solutions Engineering teams are analytics consultants who embed themselves within our enterprise customer teams to drive our customers’ business outcomes. We work with prospects and customers throughout the customer journey to understand what drives value and serve as the technical counterpart to our Sales organization to deliver on that value.

You will partner closely with Account Executives, Account Managers, Product, Engineering, and Support to successfully roll out self-serve analytics within our customers’ organizations, help the customer manage change, execute on technical projects and services that delight our customers, and ultimately drive ROI on the customer’s Mixpanel investment.

About the Role:

As a CSA, you will partner with customers throughout the customer journey to understand what drives value, beginning from the pre-sales running proof of concepts to demonstrate quick time to value, to post-sales onboarding and implementation, where you set customers up for long-term success with scalable implementation and data governance best practices. Throughout the entire customer lifecycle, you will work to understand how analytics can drive business value for your customers and will consult them on how to maximize the value of Mixpanel, including managing change during Mixpanel’s rollout, defining and achieving ROI, and identifying areas of improvement in their current usage of analytics.

For large enterprise customers, post onboarding, you will also continue alongside the Account Managers to drive data trust and product adoption for 100+ end user teams through a change management rollout approach.

Responsibilities:

Serve as a trusted technical advisor for prospects/customers to provide strategic consultation on data architecture, governance, instrumentation, and business outcomes

Effectively communicate at most levels of the customer’s organization to influence business outcomes via Mixpanel, design and execute a comprehensive analytics strategy, and unblock technical and organizational roadblocks

Own the customer’s success with Mixpanel , documenting and delivering ROI to the customer throughout their journey to transform their business with self-serve analytics

Own onboarding and data health for your assigned customers/projects, including ongoing enhancements to their data quality and overall tech stack integration

Engage with customers’ engineering, product management, and marketing teams to handle technical onboarding, optimize Mixpanel deployments, and improve data trust

Deliver a variety of technical services ranging from data architecture consultations to adoption and change management best practices

Leverage modern data architecture expertise to create scalable data governance practices and data trust for our customers, including data optimization and re-implementation projects

Successfully execute on success outcomes whilst balancing project timelines, scope creep, and unanticipated issues

Bridge the technical-business gap with your customers , working with business stakeholders to define a strategic vision for Mixpanel and then working with the right business and technical contacts to execute that vision

Collaborate with our technical and solutions partners as needed on data optimization and onboarding projects

Be a technical sponsor for internal engagements with Mixpanel product and engineering teams to prioritize product and systems tasks from clients

We're Looking For Someone Who Has

3 to 5 years of experience consulting on defining and delivering ROI through new tool implementations

Experience working with Director-level members of the customer organization to define a strategic vision and successfully leveraging those members to deliver on that vision

The ability to communicate with stakeholders at most levels of an organization , from talking with developers about the ins and outs of an API to talking to a Director of Data Science/Product Management about organizational efficiency

Can manage complex projects with assorted client stakeholders, working across teams and departments to execute real change

Has a demonstrated successful record of experience in customer success, client-facing professional services, consulting, or technical project management role

Excellent written, analytical, and communication skills

Strong process and/or project delivery discipline

Eager to learn new technologies and adapt to evolving customer needs

We'd Be Extra Excited For Someone Who Has

Experience in data querying, modeling, and transforming in at least one core tool, including SQL / dbt / Python / Business Intelligence tools / Product Analytics tools, etc.

Familiar with databases and cloud data warehouses like Google Cloud, Amazon Redshift, Microsoft Azure, Snowflake, Databricks, etc.

Familiar with product analytics implementation methods like SDKs, Customer Data Platforms (CDPs), Event Streaming, Reverse ETL, etc.

Familiar with analytics best practices across business segments and verticals

Benefits and Perks

Comprehensive Medical, Vision, and Dental Care

Mental Wellness Benefit

Generous Vacation Policy & Additional Company Holidays

Enhanced Parental Leave

Volunteer Time Off

Additional US Benefits: Pre-Tax Benefits including 401(K), Wellness Benefit, Holiday Break

Culture Values

Make Bold Bets: We choose courageous action over comfortable progress.

Innovate with Insight: We tackle decisions with rigor and judgment - combining data, experience and collective wisdom to drive powerful outcomes.

One Team: We collaborate across boundaries to achieve far greater impact than any of us could accomplish alone.

Candor with Connection: We build meaningful relationships that enable honest feedback and direct conversations.

Champion the Customer: We seek to deeply understand our customers’ needs, ensuring their success is our north star.

Powerful Simplicity: We find elegant solutions to complex problems, making sophisticated things accessible.

Why choose Mixpanel?

We’re a leader in analytics with over 9,000 customers and $277M raised from prominent investors: like Andreessen-Horowitz, Sequoia, YC, and, most recently, Bain Capital.

Mixpanel’s pioneering event-based data analytics platform offers a powerful yet simple solution for companies to understand user behaviors and easily track overarching company success metrics.

Our accomplished teams continuously facilitate our expansion by tackling the ever-evolving challenges tied to scaling, reliability, design, and service.

Choosing to work at Mixpanel means you’ll be helping the world’s most innovative companies learn from their data so they can make better decisions.

Mixpanel is an equal opportunity employer supporting workforce diversity.

At Mixpanel, we are focused on things that really matter,our people, our customers, our partners,out of a recognition that those relationships are the most valuable assets we have.

We actively encourage women, people with disabilities, veterans, underrepresented minorities, and LGBTQ+ people to apply.

We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, or any other protected characteristic.

XML job scraping automation by YubHub

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.

The Okta Sales Team

Okta has a vision to free anyone to safely use any technology by providing a secure, highly available, enterprise-grade platform that secures billions of workforce log-ins every year. As an Okta AE, you will drive territory growth through both net new logos and cultivating relationships to develop and grow existing Okta Platform customers. With the support of your Okta ecosystem, your focus will be on consistent results and an unwavering commitment to our customers.

The Enterprise Sales Team

Okta’s Enterprise Sales Team manages the sales process for medium-sized customers. The team organises and conducts sales presentations, site visits and product demonstrations to prospects and represents Okta in a consistent, effective and professional manner to best develop and win new clients and current customers.

The Vice President of Enterprise Sales, East Opportunity

The Vice President of Enterprise Sales, East and Canada is a senior leadership position reporting to the Senior Vice President of Enterprise Sales. We are seeking an entrepreneurial, growth-minded, and inspiring leader to build and manage a large, high-performing sales organisation that drives a significant share of revenue for Okta. This leader will be responsible for defining market tactics and executing an effective go-to-market plan to achieve substantial annual growth and evolve a world-class field operation.

Leading from the front, the successful candidate will work alongside their team of sales leaders and account executives to exceed targets, while also acting as a key spokesperson for Okta in the region and the executive sponsor for critical customer and partner relationships.

The Responsibilities

• Team Leadership: Attract, recruit, hire, and mentor the Enterprise sales leadership team, fostering an open, inclusive, and results-driven culture of accountability and transparency.

• Performance & Execution: Be accountable for consistently delivering and overachieving against sales targets, ensuring Okta’s goals are met sustainably.

• Forecasting & Strategy: Accurately forecast monthly, quarterly, and annual targets. Develop, design, and execute a comprehensive business plan to generate short-term results while maintaining a long-term strategic perspective.

• Go-to-Market: Define the value proposition and implement sales and marketing strategies to maximise growth. Own the pipeline generation strategy and maintain market intelligence to secure Okta’s leadership position.

• Cross-Functional Collaboration: Provide leadership and oversight to ensure the team deploys resources efficiently. Collaborate with sales engineering, channels, customer success, professional services, product, legal, marketing, and engineering to create a seamless customer experience.

• Ecosystem Development: Develop and maintain senior-level contacts within the Okta partner ecosystem, including ISVs, resellers, and GSIs.

The Requirements

• Experience: 10+ years building and running Enterprise sales teams in the software industry, with at least 3+ years as a second-line sales leader. Must have previously led a sales organisation of at least $20M+ ARR with over 40% growth.

• Industry Knowledge: Relevant experience in IT systems, cloud infrastructure, application management, security, or business applications. Deep understanding of SaaS/Cloud Go-to-Market models and subscription software is required.

• Sales Acumen: A proven history of exceeding targets, with a mastery of consultative selling methodologies (e.g., MEDDPICC, Challenger). Experience selling to C-level executives (CEOs, CFOs, CIOs, CTOs) and Lines of Business.

• Leadership Skills: Excellent leadership, influencing, and business planning skills. The ability to build strong partnerships, develop talent, and lead high-performing teams in fast-growing environments.

• Personal Attributes: A strategic and growth mindset, strong operational skills, high emotional intelligence (EQ), and a polished, professional demeanour with excellent communication and presentation abilities.

#LI-Remote (P14191_3372633)

Below is the annual On Target Compensation (OTE) range for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York and Washington. Your actual OTE, which is inclusive of base salary and incentive compensation, will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable) and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards programme please visit: https://rewards.okta.com/us.

The annual OTE range for this position for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York, and Washington is between: $560,000-$840,000 USD

XML job scraping automation by YubHub

Location: Dublin, Ireland

Department: R&D

Job Description:

Intercom is seeking a Senior Data Engineering Manager to lead the design and evolution of the core infrastructure that powers our entire data ecosystem. As a leader, you will partner with product and business teams to drive key data initiatives and ensure the success of our data engineering team.

Responsibilities:

• Next-Gen Platform Evolution: Partner with product and business teams to design and implement the next generation of our data stack, ensuring it can meet the demands of advanced analytics and AI applications.

• Enablement Through Tooling: Partner closely with Analytics Engineers, Analysts, and Data Scientists to build self-service tooling and infrastructure that enables them to move fast and deploy safely.

• Data Quality Guardianship: Implement advanced monitoring systems to proactively detect, surface, and resolve data quality issues across our high-throughput environment.

• Driving Automation: Develop automation and tooling that streamlines the creation and discovery of high-quality analytics data, making the entire data lifecycle more efficient.

Strategic Impact You'll Drive:

• GTM Data Platform Strategy: Build the data acquisition strategy that will enable us to build the next generation of business-focused internal software.

• Conversational BI Strategy: Lead the charge to shift away from complex, technical reporting toward natural language interaction to make data truly democratized and accessible.

• Platform & Warehousing Strategy: Lead the architectural- and cost review and revamp of our core data infrastructure to ensure it can scale exponentially for future growth and advanced use cases.

Recent Wins You'll Build Upon:

• AI-assisted Local Analytics Development Environment for Airflow and DBT.

• Data-rich AI apps containerized on Snowflake SPCS.

• A new, modern data catalog solution.

• Migrating critical MySQL ingestion pipelines from Aurora to PlanetScale.

Who You Are:

• A leader, a builder, and a problem-solver who thrives on solving real-world business problems.

• 7+ years of experience in the data space, leading teams of 6+ engineers.

• Stakeholder focus: ability to communicate complex technical solutions to a business-focused audience and vice versa.

• Technical depth: not afraid to get hands dirty and write code when needed.

• A leader and mentor: naturally recognizes opportunities to step back and mentor others.

Bonus Points (Our Modern Stack Knowledge):

• Airflow at scale: extensive experience working with Apache Airflow, especially the nuances of operating it reliably in a high-volume environment.

• Modern data stack fluency: familiarity with tools like Snowflake and DBT.

• Future-focused: keeps a keen eye on industry trends and emerging technologies.

Benefits:

• 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.

• Open vacation policy and flexible holidays so you can take time off when you need it.

• 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.

Policies:

• Intercom has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home.

• We have a radically open and accepting culture at Intercom. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone.

XML job scraping automation by YubHub

We are looking for a seasoned sales leader to join our team as an Area Sales Director. As a key member of our sales organization, you will be responsible for managing a team of Account Executives focused on providing value to Application Development teams (Engineering, Product, Security and Architecture) and spearheading the expansion of a global market leader leveraging existing customer references, partner base, and alliance relationships.

Responsibilities

• Attract, recruit, hire, and mentor the Auth0 Account Executive sales team
• Build a results-driven culture through leading by example, setting expectations, providing coaching and mentorship, and holding teams accountable
• Consistently deliver and overachieve against targets, holding the AE team accountable for operationally sound delivery and results
• Accurately forecast monthly, quarterly, and annual targets for assigned regions and hold each team member accountable for doing the same
• Establish and manage data and supporting metrics (pipeline coverage, forecasting, ASP, etc.)
• Effectively develop, design, build, and execute all aspects of the UK/I business plan to predictably and consistently generate quarterly results while holding a long-term perspective of overall results
• Put into place sales structure, processes, and strategic resource plans that will capture key opportunities in target markets, accounts & prospects, partners or industry verticals throughout the Region
• Own the pipeline generation strategy and with internal stakeholders to execute against the strategy
• Maintain market intelligence and develop strategies to maintain Okta's leadership position
• Exhibit a growth mindset with the ability to outline the long-term vision and strategy
• Travel as necessary to build and cultivate customer and prospect relationships

Requirements

• Experience building and running sales teams in a SaaS environment
• Deep understanding of and technical aptitude towards SaaS / Cloud Go-To-Market selling motion
• Strong technical aptitude with proven success selling into C-suite and building partnership and buy-in with multiple stakeholders
• Relevant software industry experience in any of the following: IT systems, cloud enterprise or infrastructure management, application development and management, security, business applications and/or analytics
• Ability to navigate the internal selling ecosystem in order to nurture, close, grow and retain customers
• History of consistently meeting/exceeding targets and objectives personally and as a leader
• Proven ability to hire and retain a high-performing sales team with humility and confidence
• Excellent leadership and influencing skills with the ability to build strong business partnerships at all levels
• Expertise using a Sales Framework such as MEDDPICC, Challenger or Sandler (we use MEDDPICC + Command of the Message)

The Okta Experience

• Supporting Your Well-being
• Driving Social Impact
• Developing Talent and Fostering Connection + Community

Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran.

XML job scraping automation by YubHub

About the Role: The Claude Agentic Solutions team is Anthropic's forward-deployed engine , embedding directly with Fortune 500 enterprises to architect, build, and deploy production AI agents that transform how they work. We partner with companies that have decided AI is a strategic priority and need Anthropic alongside them to make it real.

You will own how Anthropic Solutions shows up in your industry segment , from the quality of individual engagements to the strategy that defines which problems we solve and for whom. This is fundamentally a technical leadership role: you set the bar for delivery, develop your team's vertical expertise, and ensure every engagement produces outcomes worth repeating.

Responsibilities:

Tech Leadership

• Lead and grow a team of Forward Deployed Engineers and embedded within your vertical.
• Provide active delivery oversight , review SOWs before signature, participate in architecture decisions on complex engagements, and serve as the escalation layer when delivery is at risk.
• Develop your team's vertical fluency: help FDEs understand the regulatory environment, data constraints, and stakeholder dynamics specific to your industry.
• Hire for your team: define role requirements, evaluate candidates, and make judgment calls on who will succeed in this specific context.
• Serve as the senior Anthropic presence in strategic customer conversations, including C-suite and board-level engagements where enterprise AI direction is being set.
• Run operating cadences , monthly engagement reviews, knowledge-sharing sessions, and escalation support for active engagements , while participating in or running client steering committees and unblocking delivery when at risk.

Use Case Library & Reusable Patterns

• Ensure the vertical use case library and reusable asset repository are maintained, prioritized, and mapped to business impact and implementation complexity.
• Systematically surface learnings from delivery back to product and research teams, identifying where customer environments reveal model limitations, platform gaps, or roadmap opportunities.
• Track emerging AI capabilities and assess their relevance for your vertical; bring forward new use case opportunities before clients ask for them.
• Partner with product teams to ensure delivery insights translate into platform improvements and roadmap decisions.

Commercial Leadership

• Partner with Marketing and Sales to develop vertical-specific GTM materials, reference cases, and positioning that reflect what actually wins in your industry.
• Own the qualified pipeline for your vertical , working with Sales and Account Executives to identify, shape, and progress enterprise AI opportunities from first conversation to signed SOW.
• Define how Anthropic goes to market with the Solutions offering in your vertical , including engagement structures, and partnership dynamics.
• Represent your vertical internally , bring the voice of your segment into product, and go-to-market discussions at the leadership level.

Requirements:

• 8+ years of experience spanning enterprise AI/ML delivery, management consulting (Big 3 / Big 4), or enterprise tech professional services , with at least 3 years in a senior leadership capacity owning commercial outcomes.
• Comfort operating in ambiguity and building processes where none exists , you've worked in early-stage, founder, or 0-to-1 environments, and can establish practices from scratch rather than executing within well-defined frameworks.
• Deep domain expertise in your vertical: you should be able to speak credibly with a CEO, CIO, and other executive SMEs.
• A track record of building and leading technical delivery teams in enterprise environments, ideally including embedded or forward-deployed engineers working at client sites.
• Demonstrated ability to carry pipeline and close complex enterprise deals , you understand procurement, know how to navigate large organizations, and can move opportunities forward.
• Strong technical fluency to review SOW scope, participate in architecture discussions, evaluate trade-offs, and judge whether a proposed approach is realistic , without being the one writing the code.
• Experience navigating regulated industry environments.
• Executive presence and communication skills: you can present to a board or run a difficult conversation.

Annual Compensation Range:

£255,000-£325,000 GBP

XML job scraping automation by YubHub

Key responsibilities will include:

• Defining the target-state architecture for Finance and Legal applications, ensuring alignment with enterprise strategy and growth objectives.
• Leading the design and implementation of end-to-end architectural solutions for Finance and Legal systems, ensuring integration, scalability, and performance across the enterprise.
• Developing and maintaining a multi-year roadmap for modernization across ERP, FP&A, Legal, and Sales Compensation systems.
• Ensuring systems are designed with identity-first security principles, integrating with Okta and other IAM solutions for authentication, authorization, and compliance.

The ideal candidate will have:

• 15+ years of software engineering experience, including significant time as an Architect or Principal in ERP Systems (Oracle/Netsuite/SAP), FP&A Systems (Anaplan) and/or CLM systems (Aptus/Conga/Ironclad).
• Excellent storytelling and communication skills,comfortable presenting to both technical and executive stakeholders.
• Multiple ERP (Oracle or Netsuite) full cycle implementation experience.
• Deep understanding of the Finance business process areas – Order to Cash, Record to Report, Source to Pay, Plan to Report (FP&A), Treasury, Credit Collection, Revenue Recognition, and Subscription Billing, Contract Life Cycle Mgmt within Legal Ops.
• Demonstrated hands-on experience architecting functional and technical solutions within major business applications, with specific expertise in NetSuite (or Oracle), Aptus/Conga (or IronClad), Anaplan, Coupa, Scout, Tax engines such as Avalara, Vertex or OneSource – including understanding their data models and APIs in context of solution development and integrations.
• Architected and delivered AI Agents using leading LLMs Gemini, OpenAI or Claude.
• Experience with managing a Software and/or Vendor selection keeping in view the end state architecture of the enterprise.
• Proficient understanding of middlewares such as MuleSoft, Workato, Boomi, or Informatica for connecting Finance, Legal, CRM, and data platforms.
• Familiar with code, configuration, and system performance standards/reviews to ensure quality, scalability, and compliance with enterprise standards.
• Proficiency with AWS, Azure, or GCP, with knowledge of data lakes/warehouses (Snowflake, Redshift, BigQuery) for SaaS revenue and compliance analytics.
• Identity & Security: knowledge of SSO, OAuth, SAML, SCIM, and Zero Trust principles, with hands-on integration experience in Okta or similar IAM platforms.

In addition to the above skills and experience, the ideal candidate will be passionate about innovation, AI adoption, and continuous improvement aligned with Okta’s mission to build secure, intelligent, and connected business systems.

XML job scraping automation by YubHub

Key responsibilities include:

• Presenting a territory plan within the first 90 days
• Meeting with CIOs, IT executives, LOB executives, program managers, and other important partners
• Closing both new accounts and existing accounts
• Identifying and closing quick, small wins while managing longer, complex sales cycles
• Exceeding activity, pipeline, and revenue targets
• Tracking all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce

To succeed in this role, you will need to have 7+ years of experience in enterprise sales, with a proven track record of exceeding quotas and closing new accounts. You should also have a strong understanding of cloud technologies and be able to articulate intricate concepts simply.

In addition to your technical skills, you will need to be a strong communicator and be able to build relationships with key decision-makers. You should also be comfortable working in a fast-paced environment and be able to adapt to changing priorities.

If you are a motivated and results-driven sales professional who is looking for a new challenge, we encourage you to apply for this role.

XML job scraping automation by YubHub

Our Public Sector Machine Learning team is focused on deploying cutting-edge models to mission-critical government systems through products like Donovan and Thunderforge. You will take state-of-the-art models developed internally and from the community, use them in production to solve problems for our customers and taskers.

Key responsibilities include:

• Improving and maintaining production models through retraining, hyperparameter tuning, and architectural updates, while preserving core performance characteristics
• Collaborating with product and research teams to identify and prototype ML-driven product enhancements, including for upcoming product lines
• Working with massive datasets to develop both generic models as well as fine-tune models for specific products
• Building scalable machine learning infrastructure to automate and optimize our ML services
• Serving as a cross-functional representative and advocate for machine learning techniques across engineering and product organizations

Ideal candidates will have extensive experience using computer vision, deep learning, and deep reinforcement learning, or natural language processing in a production environment. Solid background in algorithms, data structures, and object-oriented programming is also required.

Nice to haves include a graduate degree in Computer Science, Machine Learning, or Artificial Intelligence specialization, experience working with cloud platforms, and familiarity with ML evaluation frameworks and agentic model design.

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.

You'll also receive benefits including comprehensive health, dental, and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. This role may be eligible for additional benefits such as a commuter stipend.

XML job scraping automation by YubHub

Join the team as Twilio's next Manager, Personalized Support.

The Personalized Support Manager is responsible for the performance of Twilio's products and will manage a team of global Technical Account Managers while working in United States Eastern and Central Time-Zones.

In this role, you'll:

• Lead a team of Technical Account Managers (TAMs) who are the designated technical contacts for Twilio's strategic customers.
• As the Personalized Support Manager, you will be the coach and leader for a team of TAMs; bringing out the best in each of your team members with keen interest in their overall well being.
• You are ready to dig deep and address technical questions as well as be able to zoom out and look at the larger picture.
• A large part of your role involves understanding customer roadblocks, pain points and advocating in a data driven way with product management and engineering teams to enhance the customer experience and delight Twilio customers.
• You will also be working alongside our Sales teams to manage customer accounts.

Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply.

If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio.

We are always looking for people who will bring something new to the table!

We think 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!

XML job scraping automation by YubHub

This is a unique opportunity to shape how frontier AI models handle dual-use cybersecurity knowledge,balancing the tremendous potential of AI to advance legitimate security research and defensive capabilities while preventing misuse by malicious actors.

In this role, you will lead and grow a team of technical specialists focused on cyber threat modeling and evaluation frameworks. You will serve as the primary domain expert on cyber harms, advising cross-functional teams on threat landscapes and mitigation strategies.

You will collaborate closely with internal and external threat modeling experts to develop training data for safety systems, and with ML engineers to train these systems, optimizing for both robustness against adversarial attacks and low false-positive rates for legitimate security researchers.

You will also analyze safety system performance in traffic, identifying gaps and proposing improvements. You will conduct regular reviews of existing policies and enforcement systems to identify and address gaps and ambiguities related to cybersecurity risks.

You will develop rigorous stress-testing of safeguards against evolving cyber threats and product surfaces. You will partner with Research, Product, Policy, Security Team, and Frontier Red Team to ensure cybersecurity safety is embedded throughout the model development lifecycle.

You will translate cybersecurity domain knowledge into actionable safety requirements and clearly articulated policies. You will contribute to external communications, including model cards, blog posts, and policy documents related to cybersecurity safety.

You will monitor emerging technologies and threat landscapes for their potential to contribute to new risks and mitigation strategies, and strategically address these.

You will mentor and develop team members, fostering a culture of technical excellence and responsible AI development.

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

• An M.S. or PhD in Computer Science, Cybersecurity, or a related technical field, OR equivalent professional experience in offensive or defensive cybersecurity
• 5+ years of hands-on experience in cybersecurity, with deep expertise in areas such as vulnerability research, exploit development, network security, malware analysis, or penetration testing
• 2+ years of experience managing technical teams or leading complex technical projects with multiple stakeholders
• Experience in scientific computing and data analysis, with proficiency in programming (Python preferred)
• Deep expertise in modern cybersecurity, including both offensive techniques (vulnerability research, exploit development, penetration testing, malware analysis) and defensive measures (detection, monitoring, incident response)
• Demonstrated ability to create threat models and translate technical cyber risks into policy frameworks
• Familiarity with responsible disclosure practices, vulnerability coordination, and cybersecurity frameworks (e.g., MITRE ATT&CK, NIST Cybersecurity Framework, CWE/CVE systems)
• Strong analytical and writing skills, with the ability to navigate ambiguity and explain complex technical concepts to non-technical stakeholders
• Experience developing policies or guidelines at scale, balancing safety concerns with enabling legitimate use cases
• A passion for learning new skills and an ability to rapidly adapt to changing techniques and technologies
• Comfort working in a fast-paced environment where priorities may shift as AI capabilities evolve
• Track record of translating specialized technical knowledge into actionable safety policies or enforcement guidelines

Preferred qualifications include:

• Background in AI/ML systems, particularly experience with large language models
• Experience developing ML-based security systems or adversarial ML research
• Experience working with defense, intelligence, or security organizations (e.g., NSA, CISA, national labs, security contractors)
• Published security research, disclosed vulnerabilities, or participated in bug bounty programs
• Understanding of Trust & Safety operations and content moderation at scale
• Certifications such as OSCP, OSCE, GXPN, or equivalent demonstrating technical depth
• Understanding of dual-use security research concerns and ethical considerations in AI safety

The annual compensation range for this role is $320,000-$405,000 USD.

XML job scraping automation by YubHub

Mixpanel turns data clarity into innovation. Trusted by more than 29,000 companies, including Workday, Pinterest, LG, and Rakuten Viber, Mixpanel’s AI-first digital analytics help teams accelerate adoption, improve retention, and ship with confidence.

Powering this is an industry-leading platform that combines product and web analytics, session replay, experimentation, feature flags, and metric trees. Mixpanel delivers insights that customers trust.

Visit mixpanel.com to learn more.

About the Customer Success & Solutions Engineering Team

Mixpanel’s Customer Success & Solutions Engineering teams are analytics consultants who embed themselves within our enterprise customer teams to drive our customer’s business outcomes. We work with prospects and customers throughout the customer journey to understand what drives value and serve as the technical counterpart to our Sales organization to deliver on that value.

You will partner closely with Account Executives, Account Managers, Product, Engineering, and Support to successfully roll out self-serve analytics within our customer’s organizations, help the customer manage change, execute on technical projects and services that delight our customers and ultimately drive ROI on the customer’s Mixpanel investment.

About the Role

Our SEs are inquisitive, nimble, and able to clearly articulate the technical benefits and requirements of Mixpanel to developers and product managers, while also communicating the business value of our product to high-level executives. In your first month, you’ll become a Mixpanel expert,both in features and functionality as well as implementation. You’ll have the opportunity to shadow customer calls and demos with current Sales Engineers and Account Executives while learning to articulate our value proposition. You’ll also be trained on Mixpanel’s internal systems and tools to set you up for success.

Within your first three months, you’ll be directly involved in deal cycles with Commercial Account Executives. You’ll lead the technical qualification for customer use cases and deliver customized demos for prospects. You’ll work directly with leadership at the prospect’s organization to understand business challenges that can be solved through an analytics platform and consult on how Mixpanel can address those challenges to achieve a strong ROI. You’ll also work with the prospect’s business and technical teams to scope and execute proof-of-concept projects to establish Mixpanel’s value,including consulting on data ingestion methods, overall architecture, success criteria, and rollout strategies for analytics tools across an organization.

Responsibilities

Serve as a trusted technical advisor for prospects, providing strategic consultation on data architecture, governance, instrumentation, and business outcomes.

Communicate and consult effectively at all levels of the customer’s organization to earn trust and influence buying decisions.

Bridge the technical-business gap,working with senior stakeholders to define success for proof-of-concepts and ensuring successful execution and outcomes.

Leverage your Mixpanel expertise and technical/consultative skills to impart best practices throughout proof-of-concept projects.

Partner with Account Executives to drive revenue growth, serving as the key technical contact for customers.

Partner with post-sales teams to ensure that pre-sales value propositions translate into tangible post-sales results.

Develop relationships and uncover the needs of key technical stakeholders within your assigned book of business.

Be the “Voice of the Prospect” by collecting feedback from potential Mixpanel customers and sharing it with the Product team.

We're Looking For Someone Who Has

The ability to communicate with stakeholders at all levels,from discussing APIs with developers to organizational efficiency with CIOs.

A demonstrated track record of qualifying and selling technical solutions to executive stakeholders.

6+ years of experience in a Software-as-a-Service Sales Engineering or related role.

Experience in data querying, modeling, and transformation using tools such as SQL, dbt, Python, Business Intelligence platforms, or Product Analytics tools.

Familiarity with databases and cloud data warehouses (e.g., Google Cloud, Amazon Redshift, Microsoft Azure, Snowflake, Databricks).

A successful record of experience in sales engineering, customer success, client-facing professional services, consulting, or technical project management.

Excellent written, analytical, communication, and presentation skills.

Strong process and project delivery discipline.

The ability to travel.

Fluency in multiple languages; German preferred.

Benefits and Perks

Comprehensive Medical, Vision, and Dental Care

Mental Wellness Benefit

Generous Vacation Policy & Additional Company Holidays

Enhanced Parental Leave

Volunteer Time Off

Additional US Benefits: Pre-Tax Benefits including 401(K), Wellness Benefit, Holiday Break

Culture Values

Make Bold Bets: We choose courageous action over comfortable progress.

Innovate with Insight: We tackle decisions with rigor and judgment - combining data, experience and collective wisdom to drive powerful outcomes.

One Team: We collaborate across boundaries to achieve far greater impact than any of us could accomplish alone.

Candor with Connection: We build meaningful relationships that enable honest feedback and direct conversations.

Champion the Customer: We seek to deeply understand our customers’ needs, ensuring their success is our north star.

Why choose Mixpanel?

We’re a leader in analytics with over 9,000 customers and $277M raised from prominent investors: like Andreessen-Horowitz, Sequoia, YC, and, most recently, Bain Capital.

Mixpanel’s pioneering event-based data analytics platform offers a powerful yet simple solution for companies to understand user behaviors and easily track overarching company success metrics.

Our accomplished teams continuously facilitate our expansion by tackling the ever-evolving challenges tied to scaling, reliability, design, and service.

Choosing to work at Mixpanel means you’ll be helping the world’s most innovative companies learn from their data so they can make better decisions.

Mixpanel is an equal opportunity employer supporting workforce diversity.

At Mixpanel, we are focused on things that really matter,our people, our customers, our partners,out of a recognition that those relationships are the most valuable assets we have.

We actively encourage women, people with disabilities, veterans, underrepresented minorities, and LGBTQ+ people to apply.

We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability status.

Pursuant to the San Francisco Fair Chance Ordinance or other similar laws that may be applicable, we will consider for employment qualified applicants with arrest and conviction records.

We’ve immersed ourselves in our Culture and Values as our guiding principles for the impact we want to have and the future we are building.

XML job scraping automation by YubHub

The Insider Risk Team works cross-functionally to deter, identify, investigate and mitigate risks to Anthropic's most critical assets,our people, our data, and our infrastructure.

Responsibilities:

• Triage custom technical detection alerts
• Independently conduct end-to-end insider risk investigations while working closely with IT, Detection and Response, Legal, HR and other cross-functional teams
• Monitor and triage external threats targeting employees
• Conduct sensitive interviews of employees or other involved parties
• Perform technical analysis of logs from SIEM, DLP, UEBA systems
• Leverage AI tools (Claude, Claude Code) to accelerate investigation workflows and data analysis
• Build and maintain investigation documentation
• Assist in iterating and improving on processes, procedures and systems to detect, mitigate and investigate insider risks
• Work cross-functionally to develop, refine and operationalize insider risk indicators, scenarios and mitigation strategies
• Provide rapid-turnaround security assessments to support business operations
• Support education and awareness programs to promote a robust security culture
• Serve as the subject matter expert for insider risk and provide training to team members as needed

You may be a good fit if you have:

• Bachelor's degree and/or higher education in a related field
• 5-8 years of experience in insider risk, corporate investigations or a related domain
• 3-5 years experience in conducting investigative interviews
• Experience conducting OSINT for threat assessment, or counterintelligence
• Experience leveraging DLP, UEBA, SIEM, SOAR and other insider risk security tooling for detections and investigations
• Broad understanding of internal and external investigations, cybersecurity, interview techniques, risk assessment and managing strong cross-functional relationships
• Ability to communicate complex security findings clearly and concisely to non-technical stakeholders (written and verbal)
• Track record of rapid response to time-sensitive security requests
• Comfort operating across organizational boundaries (Security, People, Legal, IT)
• Exceptional communication, collaboration skills and the ability to lead projects with little guidance
• Demonstrated ability to operate independently with minimal oversight while managing sensitive cases

Strong candidates may also have:

• Experience working in the technology industry or at/with AI/ML companies
• Experience with counterintelligence investigations and nation-state threat actor TTPs
• Background in open-source intelligence collection and analysis
• Track record of AI/LLM adoption for productivity gains in investigative work
• Experience contributing to a high growth startup environment
• Specialized knowledge of risks unique to the AI sector
• Experience with data exfiltration investigations across multiple vectors (email, cloud, removable media)
• Experience working in government, defense, or high-security environments

What makes you successful here:

• Entrepreneurial mindset: You see gaps and fill them without being asked
• Technical + human balance: Equal comfort analyzing log data and conducting sensitive interviews
• AI-native approach: You leverage LLMs to work smarter, not just harder
• Mission alignment: You understand AI safety stakes and insider risk's role in protecting that mission
• Judgment under uncertainty: You make sound decisions with incomplete information
• Clear communicator: You distill complex findings into actionable insights for diverse audiences
• Cross-functional navigator: You build relationships and collaborate effectively across teams

Annual compensation range for this role is $245,000-$305,000 USD.

XML job scraping automation by YubHub

XML job scraping automation by YubHub

This role sits within the Integrity & Authenticity (I&A) team, where you will function both as a policy owner and work closely with threat investigative and enforcement teams.

Key responsibilities include drafting, maintaining, and iterating on Fraud & Scams policies; conducting regular structured policy reviews; developing detailed threat models for fraud and scam vectors; and staying current on the fraud and scam landscape.

You will also design and architect automated enforcement systems and human review workflows that scale effectively while maintaining high precision and recall.

Additionally, you will serve as the primary policy point of contact for ML and Engineering teams developing fraud detection classifiers, working to translate policy intent into technical artifacts and training signals.

If you have experience working as a Trust & Safety professional with a focused background in fraud, scams, or financial crime, particularly in a tech platform or AI context, you may be a good fit for this role.

Preferred qualifications include experience at a major technology platform, financial institution, or fraud intelligence firm in a policy, operations, or investigative capacity, familiarity with the generative AI risk landscape, and background in threat intelligence, financial crimes compliance (AML/KYC), or law enforcement focused on cyber-enabled fraud.

The annual compensation range for this role is $245,000-$285,000 USD.

XML job scraping automation by YubHub

Responsibilities: Conduct all-source intelligence collection and analysis to identify, assess, and prioritize geopolitical risks and nation-state threats to Anthropic, its personnel, and its operations Produce clear, well-sourced analytical products, from quick-turn situational updates to in-depth strategic assessments and country risk profiles, for executive and cross-functional delivery Work cross-functionally to integrate geopolitical context into enterprise risk decisions, regulatory strategy, and incident response Conduct horizon scanning for emerging geopolitical flashpoints, policy shifts, and macro-trends that could impact Anthropic's operations or strategic positioning Support event security and corporate strategy by providing geopolitical context for international conferences, government engagements, and multilateral forums where Anthropic participates Conduct country and regional risk assessments to inform decisions on employee travel, international expansion, facility siting, and partnership due diligence Build and maintain relationships with external intelligence partners, government contacts, and industry peers to facilitate information sharing on geopolitical threats to frontier AI companies

Requirements: Hold a bachelor's degree or higher in international relations, political science, security studies, regional studies, intelligence studies, or a related field Have 5-8 years of experience in geopolitical analysis, political risk, intelligence analysis, or a related domain Experience in all-source intelligence analysis, including proficiency with structured analytic techniques, commercial intelligence platforms, and OSINT methodology Ability to effectively tailor complex geopolitical analysis for various stakeholders, from technical security teams to senior leadership and board-level audiences Demonstrated ability to operate independently with minimal oversight while managing multiple analytical lines of effort simultaneously Are comfortable with a flexible schedule, including on-call availability during international crises and breaking geopolitical events

Preferred qualifications: Background in high-growth technology companies, particularly those with significant geopolitical exposure Professional certifications, IC credentials, or advanced degrees in relevant fields Specialized knowledge of risks unique to the AI sector

XML job scraping automation by YubHub

This is a highly visible role with real impact on how prospects and customers understand who we are, what we build, and why it matters.

Our ideal candidate has a product marketing background or strong experience communicating narratives through digital experiences. You're a doer - driving projects forward, making crisp decisions, and ensuring every launch meets Intercom's high bar for design, clarity, and craft.

Key responsibilities include:

• Lead end-to-end delivery of high-quality narrative and storytelling pages, from concept to launch.

• Translate messaging into web experiences: take positioning and messaging guides and shape them into compelling, differentiated pages.

• Own what ships: make clear, timely decisions; guide your team through ambiguity; and ensure everything launched meets a very high standard.

• Collaborate across functions: work with designers, engineers, PMMs, and brand studio partners to bring stories to life on the web.

• Bring a strong eye for narrative and copy: ensure content is clear, engaging, and aligned with our company positioning and goals.

• Drive progress and urgency: move quickly while maintaining excellence in craft and execution.

• Measure and improve impact: track how narrative pages perform and optimize for engagement, comprehension, and conversion.

What skills do I need?

• Experience in product management or product marketing, with a track record of delivering impactful digital storytelling.

• Strong ability to communicate narratives through web, translating positioning into content structures, flows, and copy feedback.

• Exceptional collaboration and communication skills - comfortable aligning diverse stakeholders and presenting work to executives.

• A strong design eye: able to identify what makes a page visually compelling and partner effectively with designers.

• Attention to detail - from copy to layout to functionality - you set a high bar and uphold it.

• Ability to thrive in a fast-moving, high-standards environment; you move with urgency and adapt to change.

• A passion for marketing and branding, and for shaping how cutting-edge products are experienced online.

XML job scraping automation by YubHub

Your work directly impacts how thousands of customers identify, engage, and convert their ideal buyers. You'll partner with product marketing, sales enablement, and customer success to position identity capabilities and drive adoption.

Key responsibilities include:

Strategic Leadership: Own product strategy and roadmap for identity resolution, defining vision and success metrics that drive measurable improvements in match rates and customer value Identify and prioritize opportunities to enhance identity resolution through new data sources, improved algorithms, and better data quality Evaluate, negotiate, and integrate 3rd party data partnerships that expand identity coverage and accuracy Define and track core metrics including visitor-to-person match rates, IP-to-company accuracy, coverage, latency, and downstream revenue impact Partner with product marketing, sales enablement, and customer success to position identity capabilities and drive adoption

Execution Excellence: Deliver measurable improvements to identity resolution performance through rigorous prioritization, rapid experimentation, and iterative execution Diagnose and resolve data quality issues that impact match rates, customer trust, and product experience Build scalable monitoring and alerting systems that track identity resolution health and enable proactive issue detection Create frameworks for evaluating new data sources and measuring their incremental impact on resolution performance Conduct deep discovery using data analysis, customer interviews, and competitive research to uncover opportunities for improvement

Cross-Functional Partnership: Partner with Platform, Application, and Data teams to ensure seamless integration of identity data into customer-facing products Collaborate with data science and engineering to solve complex problems in entity resolution, probabilistic matching, and signal enrichment Work with analytics teams to instrument metrics, build dashboards, and enable data-driven decision making Enable go-to-market teams through training, documentation, and competitive positioning

What You Bring:

Required Qualifications: 5+ years of product management experience in data-intensive B2B SaaS environments, with focus on data products, identity systems, or platform-level capabilities Deep understanding of identity resolution, entity matching, IP-to-company mapping, visitor identification, and the evolving privacy landscape Technical fluency with SQL, Snowflake, and BI tools (Tableau, Looker) - ability to independently analyze data, diagnose issues, and make data-driven decisions Proven track record identifying, diagnosing, and resolving data quality issues at scale with understanding of coverage, accuracy, and freshness trade-offs Cross-functional leadership - demonstrated ability to influence and align engineering, product, data science, and go-to-market teams without formal authority Customer-centric mindset with experience optimizing adoption funnels and driving engagement for technical products Excellent communication skills - ability to translate complex technical concepts into clear, value-based narratives for executives and customers Bias for action - track record of moving quickly from insight to execution with iterative, test-and-learn approach B2B SaaS experience with enterprise data products, platform products, or GTM tools

Preferred Qualifications: Experience with AdTech, MarTech, or Real-Time Bidding (RTB) ecosystems Background in data science, engineering, or analytics prior to product management Familiarity with 3rd party data sourcing, evaluation, and integration Experience with probabilistic matching, entity resolution, or graph-based identity systems Knowledge of data privacy regulations and their product implications Experience in sales intelligence, marketing technology, or revenue operations domains

XML job scraping automation by YubHub

Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence.

The Role

In this role, you'll work with a team of elite researchers and engineers to design and implement post-training strategies that enhance Gemini’s capabilities in code security analysis. You will bring contributions to our ML innovation, post-training refinement (SFT/RLHF), advanced evaluation, and data generation to ensure our models can reliably perform safe and powerful code security analysis.

Key responsibilities:

• Design and Implement advanced post-training algorithms (SFT, RLHF, RLAIF) to optimize Gemini for code security tasks and secure coding practices.

• Diagnose and interpret training outcomes (regressions in coding ability, gains in security reasoning), and propose solutions to improve model capabilities.

• Actively monitor and evolve the system's performance through metric design.

• Develop reliable automated evaluation pipelines for code security that are strongly correlated with human security expert judgment.

• Construct complex benchmarks to probe the limits of the model’s ability to reason about control flow, memory safety, and software weakness.

About You

We are seeking individuals who excel in fast-pacing environments and are eager to contribute to the advancement of AI. We highly value the ability to invent novel solutions to complex problems, embracing a can-do and fail-fast mindset. We are looking for someone who genuinely believes in the future of AI and is committed to devoting their energy in this field.

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

• BSc, MSc or PhD/DPhil degree in computer science, stats, machine learning or similar experience working in industry

• Deep understanding of statistics is strongly preferred

• Experiences in fine-tuning and adaptation of LLMs (e.g. advanced prompting, supervised fine-tuning, RLHF)

• Strong knowledge of systems design and data structures

• Proven experience with TensorFlow, JAX, PyTorch, or similar leading deep learning frameworks

• Recent experience conducting applied research to improve the quality and training/serving efficiency of large transformer-based models

• A passion for Artificial Intelligence.

• Excellent communication skills and proven interpersonal skills, with a track record of effective collaboration with cross-functional teams

XML job scraping automation by YubHub

You will work at the intersection of AI safety and information integrity, combining deep expertise in influence operations with technical investigation skills to identify threat actors who leverage AI to generate synthetic content, amplify narratives, manipulate public discourse, or undermine democratic processes. Your work will directly shape how Anthropic defends against one of the most rapidly evolving categories of AI misuse.

Important context: In this position you may be exposed to explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. This role may require responding to escalations during weekends and holidays.

Responsibilities:

• Detect and investigate attempts to misuse Anthropic's AI systems for influence operations, including AI-generated disinformation, coordinated inauthentic behavior, astroturfing, and narrative manipulation campaigns

• Conduct technical investigations using SQL, Python, and other tools to analyze large datasets, trace user behavior patterns, and uncover coordinated networks of threat actors conducting influence operations

• Develop influence operation-specific detection capabilities, including abuse signals, behavioral clustering techniques, and detection methodologies tailored to AI-enabled information manipulation

• Create actionable intelligence reports on influence operation TTPs, emerging narrative threats, and threat actor campaigns leveraging AI systems

• Conduct cross-platform threat analysis linking on-platform activity to broader influence campaigns across social media, messaging platforms, and other digital ecosystems

• Monitor and analyze state-sponsored and non-state influence operations that may leverage AI capabilities, with particular focus on operations originating from or targeting geopolitically significant regions

• Collaborate with policy and enforcement teams to make informed decisions about user violations and ensure appropriate mitigation actions

• Engage with external stakeholders including government agencies, platform integrity teams, academic researchers, and threat intelligence sharing communities

• Forecast how advances in AI technology,including improved content generation, voice synthesis, and multimodal capabilities,will reshape the influence operations landscape and inform safety-by-design strategies

You may be a good fit if you:

• Have deep subject matter expertise in influence operations, coordinated inauthentic behavior, disinformation, or information warfare

• Have demonstrated proficiency in SQL and Python for data analysis and threat detection

• Have experience tracking and attributing influence campaigns to specific threat actors, including state-sponsored operations

• Have hands-on experience with large language models and understanding of how AI technology could be weaponized for influence operations

• Have experience with open-source intelligence (OSINT) methodologies and tools for investigating online information ecosystems

• Have excellent stakeholder management skills and ability to work with diverse teams including researchers, policy experts, legal teams, and external partners

• Can present analytical work to both technical and non-technical audiences, including government stakeholders and senior leadership

Strong candidates may also have:

• Experience at a major technology platform working on influence operations, platform integrity, or content authenticity

• Background in intelligence analysis, information operations, or counter-disinformation within government or military contexts

• Experience investigating operations linked to Chinese, Russian, Iranian, or other state-sponsored information campaigns

• Fluency in Mandarin Chinese, Russian, Farsi, and/or Arabic (speaking, reading, and writing) combined with a nuanced understanding of the geopolitical landscape and cultural context of the respective regions

• Familiarity with social network analysis techniques and tools for mapping coordinated behavior

• Background in AI safety, machine learning security, or technology abuse investigation

• Experience building and scaling threat detection systems or abuse monitoring programs

• Active Top Secret security clearance

The annual compensation range for this role is $230,000-$290,000 USD.

XML job scraping automation by YubHub

The position defines the technical direction for intelligence initiatives, leading the design, development, and deployment of robust, scalable, and secure AI solutions while fostering innovation through emerging technologies.

A critical aspect of the role is providing partnership, mentorship and technical guidance, cultivating a culture of excellence and continuous learning. Through close cross-functional collaboration across teams and stakeholders, the role ensures technical efforts are strategically aligned and deliver measurable impact.

Additionally, the position plays a central role in strategic problem-solving, addressing complex challenges in intelligence systems and data pipelines, and making informed architectural decisions that ensure long-term scalability and success.

Responsibilities:

• Define, drive, and communicate the technical vision for intelligence, AI, and data initiatives, ensuring alignment with CIT strategy, EPD goals, and broader organisational objectives.

• Take a holistic view of CIT systems and architecture to ensure they are scalable, reliable, secure, and maintainable over multiple years.

• Lead the design, development, and deployment of high-performance AI systems, data pipelines, and intelligent services from conception through production.

• Make strategic architectural decisions to address complex AI, data, and platform challenges, balancing short-term delivery with long-term resilience and scalability.

• Identify opportunities to simplify systems, reduce operational and security risk, and improve developer productivity.

• Contribute directly to prototyping, proof of concepts, and implementation of technical components when needed to validate strategy, de-risk decisions, or accelerate progress.

• Architect, evolve, and scale AI, automation, and intelligence platforms that enable advanced analytics, personalisation, search, and intelligent decision-making.

• Drive innovation in intelligence models, distributed training, optimisation techniques, and data engineering to maximise performance, quality, and business impact.

• Enhance search and discovery capabilities using intelligent algorithms, natural language processing, and modern data systems.

• Evaluate, select, and integrate emerging technologies in AI, ML, and automation to maintain a competitive and forward-looking technical posture.

• Partner across engineering, product, design, infrastructure, and other stakeholders to ensure intelligence initiatives directly support strategic objectives.

• Translate technical capabilities and advancements into clear business outcomes that improve productivity, efficiency, and growth.

• Resolve conflicting requirements and priorities with sound technical judgment that favours long-term organisational outcomes over local optimisation.

• Advocate for intelligence-driven solutions across the organisation and influence company-wide technical priorities.

• Act as a trusted technical advisor to senior engineering leadership, with IC6 scope extending to org-wide and EPD-level strategy.

• Provide mentorship and technical guidance to engineers and data scientists from mid-level through senior, fostering continuous learning and technical excellence.

• Serve as a technical multiplier by raising the effectiveness of surrounding teams through design reviews, code reviews, architectural guidance, and pragmatic execution.

• Facilitate knowledge sharing across teams through documentation, design write-ups, technical discussions, and mentorship programs.

• Act as a voice for engineers by synthesising feedback, surfacing gaps and risks, and communicating them clearly to leadership.

• Contribute to multi-year technical vision and roadmap planning, anticipating future scale, complexity, and organisational needs.

• Identify architectural, operational, and security risks early and mobilise proactive mitigation plans across org boundaries.

• Partner closely with managers, product leaders, and senior engineers to ensure ambitious initiatives remain feasible, sustainable, and well-aligned.

• For IC6 scope, influence technical direction beyond CIT and partner directly with senior EPD leadership on company-wide strategy.

• Lead and support critical, high-impact initiatives by defining technical direction, clarifying requirements, gathering estimates, and ensuring delivery against milestones.

• Drive execution on complex projects with significant ambiguity or high cost of failure.

• Improve engineering effectiveness by championing best practices such as CI, automated testing, reliability reviews, and clear ownership models.

• Promote a bias toward action, thoughtful experimentation, and continuous learning.

• Model excellence in engineering craft, collaboration, accountability, and inclusive behaviour.

• Lead by example in living Dropbox values, including integrity, ownership, simplicity, and inclusivity.

• Support hiring by interviewing, calibrating candidates against a high technical bar, and representing Dropbox authentically to candidates and partners.

Requirements:

• 12+ years of professional experience in software engineering, with depth in areas such as intelligent workflows, enterprise-scale AI adoption, automation, or data engineering.

• Proven track record of leading large-scale, multi-team technical initiatives from conception to production, including solving ambiguous problems, setting technical vision, and driving impact without direct authority.

• Strong architectural judgment and systems thinking, with the ability to balance short-term delivery with long-term sustainability, scalability, and operational excellence.

• Demonstrated ability to influence across teams and disciplines through technical leadership, collaboration, and sound decision-making rather than formal authority.

• Experience mentoring engineers and raising the technical bar of an organisation through design reviews, code reviews, and technical guidance.

• Exceptional written and verbal communication skills, with the ability to clearly explain complex technical concepts, translate technical strategy to diverse audiences, and influence stakeholders at all levels.

Preferred Qualifications:

• Strong coding ability in at least one language commonly used in AI and data systems such as Python, Java, Go, or Scala, with hands-on experience building models, data pipelines, or scalable production services.

• Experience operating in platform, infrastructure, or internal tooling organisations, including leading or significantly influencing org-wide technical initiatives.

• Proven ability to navigate ambiguity and competing priorities, drive clarity, and make sound technical and product trade-offs in partnership with product managers.

• Experience collaborating cross-functionally with product, design, infrastructure, and legal or privacy stakeholders to deliver AI-powered or data-intensive products responsibly.

• Familiarity with AI-assisted development practices in large codebases, along with experience representing engineering externally through talks, blogs, or industry events when applicable.

Compensation:

XML job scraping automation by YubHub

In this position, you may be exposed to and engage with explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. There is also an on-call responsibility across the Policy and Enforcement teams.

Responsibilities:

Own the end-to-end enforcement strategy against unauthorized frontier model abuse , from detection signal development through enforcement action and post-enforcement measurement

Operationalize detection and review pipelines , translating leads from case investigations and detection outputs into structured review workflows that scale across surfaces

Drive enforcement actions for high-priority actors , synthesizing signals from across intelligence, detection, and review into enforcement packages suitable for formal escalation

Partner with Legal and Policy to assess case strength, characterize ToS and IP violations, and support enforcement escalations through formal channels

Close the loop between enforcement outcomes and upstream improvements , channeling review results and enforcement findings back to policy updates and detection refinements

Develop and maintain a dynamic enforcement framework that accounts for the complexity of cross-surface enforcement , including varied escalation paths, partner coordination, and enforcement consistency across surfaces

Collaborate with Threat Intelligence, Research, Engineering, and Policy partners to ensure detection coverage keeps pace with evolving frontier abuse tactics

Maintain rigorous documentation of enforcement decisions, pipeline logic, and precedents to build institutional knowledge

Qualifications:

Required

5+ years of experience in trust & safety, abuse enforcement, fraud investigation, policy, or a related field , with demonstrated ownership of complex, high-stakes enforcement programs

Track record of building detection and enforcement approaches for novel or emerging abuse vectors where established playbooks don't exist

Experience supporting or directly contributing to formal enforcement actions , including case documentation, evidence packaging, and escalation coordination

Strong data analysis skills , comfortable navigating complex, multi-table datasets to surface behavioral patterns and support investigations

Experience conducting structured investigations, including open-source intelligence techniques and cross-referencing external data sources to attribute activity

Demonstrated ability to translate ambiguous policy questions into defensible enforcement decisions and clear written findings

Strong written and verbal communication skills , able to present complex enforcement cases clearly to stakeholders across Legal, Policy, and Engineering

Preferred

Familiarity with the AI/ML ecosystem , including how model distillation, fine-tuning, and synthetic data generation work in practice, and how actors attempt to obscure this activity

Experience conducting threat actor profiling or open-source investigations in a trust & safety, intelligence, or legal context

Experience working with generative AI products, including using AI tools to accelerate investigative and analytical workflows

Background or interest in AI policy, IP enforcement, competitive intelligence, or AI governance

Experience coordinating with external enforcement partners or platform partners on escalated enforcement actions

Education: At least a Bachelor's degree in a relevant field, or equivalent experience.

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings (“OTE”) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary: $230,000-$270,000 USD

XML job scraping automation by YubHub

We're looking for a Machine Learning Intern to join our team in Toronto. As a Machine Learning Intern, you will work on tackling new challenges in machine learning and artificial intelligence. You will join our engineering teams as we maneuver through exponential growth and massive scale while building awesome products and features, creating visually rich experiences, spearheading the discovery problem, and pinpointing tomorrow's engineering challenges.

Responsibilities

• Lead your own project start to finish to contribute in cutting-edge research in machine learning and artificial intelligence that can be applied to Pinterest problems
• Collect, analyze, and synthesize findings from data and build intelligent data-driven models
• Write clean, efficient, and sustainable code
• Use machine learning, natural language processing, and graph analysis to solve modeling and ranking problems across discovery, ads and search
• Scope and independently solve moderately complex problems
• Demonstrate accountability for the quality and completion of your tasks and projects, collaborating with your team and seeking guidance as needed

Requirements

• Working towards a Master's or PhD degree in Computer Science, ML, NLP, Statistics, Information Sciences or related field
• Machine Learning (ranking, computer vision, NLP, content recommendations, embedding, information retrieval etc)
• Experience with big data technologies (e.g., Hadoop/Spark) and scalable realtime systems that process stream data
• Strong interest in research and applying machine learning and AI to drive meaningful product innovation and user impact
• Exposure to ML, AI, data analytics, statistics, or related technical fields, through research, coursework, projects, or internships
• Proficiency in at least one systems language (Java, C++, Python) or one ML framework (Tensorflow, Pytorch, MLFlow)
• Experience in research and in solving analytical problems
• Strong communicator and team player with the ability to find solutions for open-ended problems

Why Intern at Pinterest?

• Meaningful Work: Contribute to projects that impact millions of users worldwide.
• Mentorship: Learn from and be guided by experienced engineers and researchers in the field.
• Growth and Development: Participate in professional development workshops and networking events to build your skills and connections.

XML job scraping automation by YubHub

The vendors and partners you'll manage span verification, threat intelligence, process outsourcing, capability evaluation, civil society consultation, and research collaboration. You'll build repeatable processes where they're needed while staying nimble enough to handle novel partnership structures, like research collaborations, civil society consultations, and model red-teaming engagements that don't fit neatly into standard procurement workflows.

You'll work closely with legal, procurement, finance, and engineering teams, and you'll be the person who knows where every Safeguards contract stands, what we're spending, and where we should consider a change.

This is a role for someone who's comfortable operating across commercial, legal, and technical contexts in a fast-moving environment , someone who can negotiate contract terms, work with legal teams to redline contracts, set up model access for a research partner, and handle a vendor performance issue in one day.

*Important context for this role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature.

Responsibilities:

Vendor Selection & Onboarding - Understand the broad vendor landscape for Safeguards and drive vendor selection processes with expert input, factoring in tradeoffs between capability, price, and internal resources across categories including verification, threat intelligence, process outsourcing, and capability evaluation

Conduct vendor due diligence and coordinate security and data governance reviews for vendors handling sensitive model access or content

Forecast future partnership needs and proactively research vendors and partners that could meet emerging Safeguards requirements

Contract & Budget Management - Manage contracts across the Safeguards vendor and partner portfolio, working with legal and procurement teams on contract redlining, negotiation, and execution

Work with legal teams and potential research partners to develop novel agreements for research collaboration, civil society consultation, and model red-teaming

Handle invoicing, payment, and renewal processes with partners

Own Safeguards vendor budget tracking and planning in partnership with finance teams, maintaining a clear picture of current spend and forecasting future needs

Ongoing Vendor & Partner Management - Manage vendor and researcher access to models and products during testing phases and trials

Oversee and monitor vendor performance and usage, flagging issues and resolving concerns and disputes as they arise

Report on vendor performance, spend, and contract status to Safeguards leadership

You may be a good fit if you have:

5+ years in vendor management, procurement, or contract operations, ideally in risk, fraud, compliance, or trust & safety contexts at a technology company

Demonstrated experience reviewing and negotiating contracts, including comfort with redlining and working alongside legal counsel

Track record managing vendor budgets, including forecasting, tracking spend, and making tradeoff recommendations

Understanding of AI safety, account abuse, or platform integrity issues , you know what verification vendors, threat intelligence providers, and content screening tools actually do

Experience onboarding vendors and standing up new vendor relationships from scratch, not just managing existing ones

Strong cross-functional collaboration skills, particularly with legal, procurement, finance, and engineering teams

Comfort with ambiguity and fast-moving environments , you've built or significantly improved vendor management processes, not just inherited them

Nice to have:

Experience in AI safety or AI-adjacent vendor ecosystems

Familiarity with procurement tools such as Ironclad or Zip

Annual compensation range for this role is $245,000-$285,000 USD

XML job scraping automation by YubHub

As a senior member of the team, you will champion modern, AI-enhanced quality practices and help build a culture where continuous improvement, automation-first thinking, and data-driven decisions are embedded at every stage of product development. This is a hybrid position in Mountain View (Headquarters) and will require in-office work 2 days a week.

The base salary range for this full-time position is $210,000 to $257,000, plus equity and benefits. Our salary ranges are determined by role, level, and location. EarnIn provides excellent benefits for our employees, including healthcare, internet/cell phone reimbursement, and a learning and development stipend.

Quality Engineering & Test

Own end-to-end quality across iOS and Android applications and their supporting backend services, ensuring high confidence in weekly (or faster) releases. Design and implement comprehensive test strategies covering:

• Native mobile applications (iOS & Android)
• Mobile-to-backend integrations (REST APIs, auth flows, event-driven systems)
• Microservices and distributed systems
• Critical web workflows that intersect with mobile journeys
• Device, OS, browser, and network variability
• App lifecycle events, offline behavior, retries, and edge cases

Ensure critical user journeys are validated across mobile UI → API → backend → web touchpoints, preventing production escapes in high-impact flows. Partner with engineering teams to embed quality gates into the mobile release lifecycle, including pre-merge validation, release candidate verification, and post-deploy smoke testing.

Drive improvements in testability by introducing better logging, API contracts, observability hooks, feature flags, and deterministic state management. Establish meaningful quality metrics (crash analytics, defect trends, flaky tests, API reliability, release risk scoring) and surface actionable insights to engineering stakeholders.

Champion shift-left quality by influencing design reviews, API schema discussions, and acceptance criteria early in development.

AI-Driven Quality and Automation

Leverage AI to enhance mobile, backend, and web testing effectiveness, including:

• AI-assisted test case and test data generation
• Intelligent regression suite prioritization based on code changes
• Predictive defect detection and risk-based testing
• Flaky test detection and automated stabilization insights

Integrate AI-powered log intelligence, crash clustering, and anomaly detection into quality workflows. Continuously evaluate and experiment with AI-driven QA tools to increase coverage, reduce maintenance overhead, and accelerate release cycles.

Contribute to building an AI-augmented quality ecosystem that improves speed without compromising reliability.

Automation Excellence

Design, build, and scale robust automation frameworks using:

• XCUITest, Espresso, Appium (mobile automation)
• Playwright (web and mobile web validation)
• REST Assured or similar tools for API and service validation

Ensure frameworks are modular, maintainable, and optimized for scale across multiple teams. Integrate automated validation into CI/CD pipelines (Jenkins, GitHub Actions, etc.) to enable:

• Pre-merge quality gates
• Parallelized execution
• Environment-aware test runs
• Post-deployment smoke and regression coverage

Build developer-friendly tooling that enables:

• Self-service test execution
• Real-time reporting and dashboards
• Faster debugging and failure triage
• Scalable test data and environment management

Continuously reduce flakiness, improve signal quality, and optimize execution time across mobile and backend suites.

Performance, Scalability & Reliability

Design and execute performance validation across:

• Mobile app startup time and responsiveness
• API latency, throughput, and reliability
• Backend load and stress conditions
• Web performance for critical flows

Partner with engineering teams to analyze production logs, crash reports, browser telemetry, and service metrics. Lead root-cause analysis of complex cross-layer defects spanning mobile UI, APIs, backend services, and web surfaces.

Ensure reliability validation is embedded directly into release workflows.

Cross-Functional Collaboration and Leadership

Collaborate closely with mobile engineers, backend developers, web engineers, product managers, DevOps teams, and release managers to define clear, testable requirements and release criteria. Actively participate in sprint grooming, planning, stand-ups, and retrospectives.

Influence best practices around mobile-first design, API contracts, and release readiness. Support mobile app release activities, including release candidate validation, go/no-go recommendations, and post-release monitoring.

Mentor junior QA engineers and contribute to raising the technical bar in automation and cross-platform validation. Work effectively with globally distributed teams to coordinate testing across time zones.

XML job scraping automation by YubHub

You will work at the intersection of AI safety and CBRN security, conducting thorough investigations into potential misuse cases, developing novel detection techniques, and building robust defenses against threat actors who may attempt to leverage our AI technology for developing weapons, synthesizing dangerous compounds, or creating biological harm.

Important context: In this position you may be exposed to explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. This role may require responding to escalations during weekends and holidays.

Responsibilities:

• Detect and investigate attempts to misuse Anthropic's AI systems for developing, enhancing, or disseminating CBRN-E weapons, pathogens, toxins, or other threats to harm people, critical infrastructure, or the environment

• Conduct technical investigations using SQL, Python, and other tools to analyze large datasets, trace user behavior patterns, and uncover sophisticated CBRN-E threat actors

• Develop CBRN-E-specific detection capabilities, including abuse signals, tracking strategies, and detection methodologies tailored to dual-use research concerns

• Create actionable intelligence reports on CBRN-E attack vectors, vulnerabilities, and threat actor TTPs leveraging AI systems

• Conduct cross-platform threat analysis grounded in real threat actor behavior, open-source research, and publicly reported programs

• Collaborate with policy and enforcement teams to make informed decisions about user violations and ensure appropriate mitigation actions

• Engage with external stakeholders including government agencies, regulatory bodies, scientific organizations, and biosecurity/chemical security research communities

• Inform safety-by-design strategies by forecasting how threat actors may leverage advances in AI technology for CBRN-E purposes

You may be a good fit if you

• Have deep domain expertise in biosecurity, chemical defense, biological weapons non-proliferation, dual-use research of concern (DURC), synthetic biology, or related CBRN-E threat domains

• Have demonstrated proficiency in SQL and Python for data analysis and threat detection

• Have experience with threat actor profiling and utilizing threat intelligence frameworks

• Have hands-on experience with large language models and understanding of how AI technology could be misused for CBRN-E threats

• Have excellent stakeholder management skills and ability to work with diverse teams including researchers, policy experts, legal teams, and external partners

• Can present analytical work to both technical and non-technical audiences, including government stakeholders and senior leadership

Strong candidates may also have

• Advanced degree (MS or PhD) in biological sciences, chemistry, biodefense, biosecurity, or related field

• Real-world experience countering weapons of mass destruction or other high-risk asymmetric threats

• Experience working with government agencies or in regulated environments dealing with sensitive CBRN-E information

• Background in AI safety, machine learning security, or technology abuse investigation

• Familiarity with synthetic biology, biotechnology, or dual-use research

• Experience building and scaling threat detection systems or abuse monitoring programs

• Active Top Secret security clearance

The annual compensation range for this role is $230,000-$290,000 USD.

XML job scraping automation by YubHub

Your responsibilities will include:

• Forming successful relationships with clients throughout your assigned territory, providing technical and business value to Databricks customers in collaboration with Account Executives.
• Operating as an expert in big data analytics to excite customers about Databricks. You will develop into a ‘champion’ and trusted advisor on multiple issues of architecture, design, and implementation to lead to the successful adoption of the Databricks Data Intelligence Platform.
• Scaling best practices in your field and supporting customers by authoring reference architectures, how-tos, and demo applications, and helping build the Databricks community in your region by leading workshops, seminars, and meet-ups.

We're looking for someone with prior experience in technical sales, customer relationship development, and a strong understanding of big data analytics technologies. You should be proficient in coding in a core programming language (such as Python, Java, or Scala) and willing to learn a base level of Spark.

As a Solutions Architect at Databricks, you will have the opportunity to grow your knowledge and expertise to the level of a technical and/or industry specialist, and contribute to the success of our customers and the growth of our company.

XML job scraping automation by YubHub

Your Expertise:

• 10+ years of experience in the software development industry with at least 7 years as a technical program manager.
• Demonstrated ability to work calmly through ambiguity to detailed solutions.
• Self-motivated, proactive and ability to adapt well and work with teams having different operating cadences.
• Proven track record of influencing others in combination with strong analytical skills and allowing others to give feedback while understanding their viewpoints.
• Experience developing processes where little exists and demonstrated flexibility to get things done.
• Detail-oriented with the ability to understand the bigger picture by using your technical expertise and problem solving abilities to prioritize and manage blocking issues.
• Experience working in a highly cross-functional environment where communication with multiple groups is imperative.
• Excellent written and oral business communication and people skills, with the ability to influence stakeholders.
• Exhibit knowledge of Asana, Jira, or other equivalent task management tooling.
• B.S. in Computer Science or a related technical discipline, or equivalent experience.

Nice to have:

• Experience developing or working directly on various aspects of large-scale ML/AI platforms.
• Experience with feature development of AI-powered product experiences.
• Experience and passion for building and maintaining products leveraging AI models

XML job scraping automation by YubHub

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.

XML job scraping automation by YubHub

We're looking for a Capital Solutions Manager to join our team and serve as the bridge between our clients and our engineering organisation. You'll take ownership of live client portfolios across Data OS and Insight OS, our data management and analytics platforms.

This isn't a back-office analytics role. You'll be client-facing from day one, owning deal relationships, translating complex structured finance requirements into engineering specs, and ensuring that every dashboard, data pipeline, and export meets institutional-grade standards.

This is an opportunity to be an early owner of a fast-growing product lines (Data OS and Insight OS) at a fast-growing platform. You'll be a co-owner of creating tech solutions for lenders and borrowers in asset backed credit. We have a strong ethos of promoting from within, and you'll be given ample opportunities for career development and advancement.

Responsibilities

• Own client portfolios end-to-end. Serve as the primary point of contact for assigned clients across Data OS and Insight OS , managing onboarding, success, and supporting growth.

• Translate our customer's structured finance needs for Engineering. Act as the bridge between our clients and our product/engineering organisation for Data OS and Insight OS. Define what needs to be built, flag what may be custom work, write the specs, review the output, and validate that dashboards and data pipelines match analytical intent.

• Own the accuracy of Setpoint's data layer across your assigned portfolio. Lead data quality assessments on incoming loan tapes and client deliverables , identifying anomalies, missing fields, and population gaps before they reach production.

• Supervise offshore implementation resources. Directly manage a team of offshore analysts supporting data ingestion, validation, and reporting workflows. Set priorities, review work product, and ensure delivery standards are met.

• Leverage AI-powered workflows and internal tooling. Use and help refine our internal AI-assisted deal workflows , from automated data quality checks to metric design and schema mapping , to accelerate delivery and improve consistency across client portfolios.

• Make us better. Contribute to product priorities, onboarding playbooks, sector templates, and process documentation that make our delivery engine repeatable as the portfolio grows.

Requirements

• 3–6 years in private credit, asset-backed lending, or structured finance. You've worked with loan tapes, servicer reports, borrowing base certificates, or compliance packages , not just in theory, but hands-on. Experience across multiple asset classes (consumer, auto, fund finance, CRE) is a strong plus.

• Demonstrated client management experience. You've owned client relationships , running calls, managing expectations, resolving issues , in a professional services, advisory, or platform context. You're comfortable being the face of the company to institutional investors and lenders.

• Strong analytical and data skills. Expert-level Excel is baseline. Comfort with SQL, Python, data pipelines, or business intelligence tools (Metabase, Tableau, etc.) is highly valued. You don't need to write production code, but you should be able to read a data schema, trace a metric back to its source field, and spot when something doesn't add up.

• Experience writing technical specifications or engineering handoff documents. You've translated business requirements into structured artifacts , field mappings, data dictionaries, logic definitions, or acceptance criteria , that a technical team can execute against.

• Comfort with AI/LLM tooling and automation. You don't need to be an AI engineer, but you should be excited about using AI-assisted workflows to accelerate data analysis, quality checks, and specification writing. Familiarity with prompt engineering or AI copilot tools is a plus.

• Team supervision experience. You've managed or coordinated the work of junior analysts, offshore teams, or cross-functional workstreams. You can set priorities, review deliverables, and maintain quality without micromanaging.

• Ability to operate independently in ambiguous environments. You can take a vague client request, figure out what's actually needed, scope the work, and deliver , without someone laying out every step. You handle tight timelines and competing priorities without losing quality.

Benefits

We offer a comprehensive benefits package that includes competitive salaries, stock options, medical, dental, and vision coverage, 401(k), short term and long term disability coverage, and flexible vacation. We have offices in Austin, TX, New York City, NY, and Salt Lake City, UT with hybrid roles based in these locations and an expectation of two days a week in office (Tuesdays and Thursdays).

Compensation

$140,000 - $160,000 dependent on multiple factors, which may include the successful candidate's skills, experience and other qualifications.

XML job scraping automation by YubHub

As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.

Long-term, you will be the subject matter expert responsible for architecting and scaling our enterprise integration landscape. This is a high-impact role for someone who thrives on solving complex data challenges and wants to build the operational foundation that enables Anduril to scale its mission.

Key Responsibilities:

• Stabilize & Optimize: Dive deep into existing Oracle Fusion ERP integrations across manufacturing, supply chain, finance, and engineering systems. Diagnose root causes of instability, re-architect weak points, and implement robust error handling and monitoring to achieve mission-critical reliability.

• Architect & Build: Design and develop new, scalable enterprise integrations using Oracle Integration Cloud (OIC). Translate complex business requirements for product data, multi-level Bills of Material (BOMs), procurement, inventory, work orders, and financial transactions into resilient and efficient integration flows.

• Own the Integration Lifecycle: Manage the end-to-end process from design and development through testing (unit, SIT, UAT) and deployment, utilizing CI/CD best practices. Proactively tune and maintain integrations to ensure peak performance as data volumes grow.

• Ensure Data Integrity: Become the trusted expert on data transformation and mapping between systems. Implement rigorous validation and reconciliation logic to guarantee that our enterprise data is flawless across all systems.

• Collaborate & Influence: Act as the key technical partner to our ERP, Manufacturing, Supply Chain, and Finance teams. Clearly articulate technical designs, trade-offs, and progress to both engineering peers and business stakeholders, guiding them toward best-practice integration patterns.

• Leverage Modern Oracle Cloud Tools: Utilize Oracle Visual Builder Cloud Service (VBCS) where appropriate to build lightweight user interfaces that enhance integration workflows, data validation, or operational dashboards.

Requirements:

• 5+ years of hands-on experience developing complex integrations with deep specialization in Oracle Integration Cloud (OIC), specifically Oracle Integration 3.

• Proven experience integrating Oracle Fusion Cloud ERP with upstream and downstream enterprise systems (e.g., PLM, MES, WMS, CRM, third-party applications), including deep familiarity with ERP data objects such as Items, BOMs, Suppliers, Purchase Orders, Work Orders, Inventory Transactions, and Financial data.

• Expert-level proficiency in OIC 3 components: Application and Tech Adapters (REST, SOAP, File, FTP, Oracle SaaS, Database), Connections, Mappings, Lookups, Error Handling, and JavaScript.

• Strong command of XSLT, XPath, and complex data mapping for transforming large and nested XML/JSON payloads.

• Demonstrable experience building, securing, and consuming RESTful APIs and SOAP web services.

• Excellent SQL skills and a solid understanding of relational database concepts.

• Experience with Oracle Fusion ERP modules such as SCM (Supply Chain Management), Manufacturing, Procurement, or Financials.

• A tenacious problem-solver with a track record of troubleshooting, debugging, and stabilizing complex, business-critical systems.

Preferred Qualifications:

• Hands-on experience with Oracle Visual Builder Cloud Service (VBCS) for building user interfaces and extensions.

• Experience with Oracle Business Intelligence Cloud Connector (BICC) for high-volume data extraction from Fusion ERP.

• Experience with Oracle Cloud Infrastructure (OCI) services (e.g., Functions, API Gateway, Object Storage, Logging, Autonomous Database).

• Experience integrating PLM systems (e.g., Teamcenter, Windchill, Arena) with Oracle Fusion ERP.

• Familiarity with Git-based source control and CI/CD pipelines for integration deployments.

• Experience in a discrete manufacturing environment.

• Knowledge of other programming languages (e.g., Python, Groovy, Java).

• Relevant Oracle Cloud Certifications (e.g., OIC 3 Application Integration Professional, Oracle Fusion Cloud certifications).

Salary Range: $129,000-$171,000 USD

XML job scraping automation by YubHub

As a Pricing Director, you will be responsible for developing and implementing a pricing strategy that balances value-based pricing principles with commercial signals. You will work closely with Product, Finance, Revenue Operations, and Product Marketing to ensure pricing decisions are well-informed, consistently applied, and commercially viable across the full GTM motion.

Key responsibilities include:

• Developing and maintaining a pricing framework across Komodo's product portfolio
• Establishing pricing governance, including a Pricing Committee, approval workflows, and discount management policies
• Building and maintaining a pricing intelligence function that continuously monitors competitive pricing, win/loss data, and customer willingness to pay
• Working with the Deal Desk to support large or complex deals by structuring pricing and packaging that maximizes value capture while protecting margins and setting healthy precedents
• Leveraging AI tools and advanced analytics to deliver pricing insights, report on results, and model scenarios

The ideal candidate will have 10+ years of experience in pricing strategy, revenue management, or monetization in B2B technology, with a clear track record of commercial impact. They will have specific experience with usage-based, consumption, or outcome-based pricing models, and a strong understanding of AI's role in pricing strategy and monetization.

In addition to technical expertise, the successful candidate will be an excellent communicator who can distill complex quantitative analyses into clear, confident recommendations for executive audiences. They will also be a strong cross-functional collaborator who can build trust and drive alignment across Product, Finance, Sales, and Marketing.

XML job scraping automation by YubHub

The ideal candidate will have 7+ years of experience in competitive intelligence, product marketing, product strategy, GTM strategy, or a technical role within cloud/infra/AI. They will have strong technical and economic fluency, demonstrated ability to produce crisp POVs that influence senior decision-making, and experience creating enablement assets that drive adoption.

As a key member of the team, the Senior Product Marketing Manager will partner closely with Product, Engineering, Sales/GTM, Analytics, and AR to turn competitive movement into clear implications for what we reinforce, counter, or ignore. They will provide inputs to messaging, launches, and campaigns, including claim risk checks and differentiation guidance.

The base salary range for this role is $161,000 to $237,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

We offer a variety of benefits to support your needs, including medical, dental, and vision insurance, 100% paid for by CoreWeave, company-paid Life Insurance, Voluntary supplemental life insurance, Short and long-term disability insurance, Flexible Spending Account, Health Savings Account, Tuition Reimbursement, Ability to Participate in Employee Stock Purchase Program (ESPP), Mental Wellness Benefits through Spring Health, Family-Forming support provided by Carrot, Paid Parental Leave, Flexible, full-service childcare support with Kinside, 401(k) with a generous employer match, Flexible PTO, Catered lunch each day in our office and data center locations, A casual work environment, A work culture focused on innovative disruption.

XML job scraping automation by YubHub

You will also own the talent development framework to recruit, hire, onboard, and train top Sales Development talent of today to transform them into the Databricks AEs of tomorrow. You will lead and transform a high-performing Sales Development team, driving strategic pipeline generation, establishing cross-functional collaboration, and positioning our sales development function as a key new account activation and revenue acceleration engine.

The Impact You Will Have:

• Lead, build, develop, and scale a high-performance Sales Development (BDR) team that prospects to support the net new account activation of greenfield accounts and the pipeline generation/revenue expansion of customer accounts in Databricks' Enterprise segments
• Drive and deliver results aligned with comprehensive Sales Development strategy and business objectives
• Develop and implement innovative pipeline generation approaches that leverage data intelligence and market insights
• Establish cross-functional partnerships with Sales, Marketing, Field Engineering, Partner, Sales Programs and Sales Strategy/Ops leadership to create integrated go-to-market strategies
• Leverage advanced analytics to optimize Sales Development team performance, productivity, and effectiveness
• Work closely with Sales, Demand Generation, and Marketing leadership to ensure the success of campaigns, while providing constructive input to develop new campaigns.

What We Look For:

• 3-4+ years of experience in second line management, hiring, training, coaching and developing Managers
• Proven track record of building and scaling high-performing sales development teams in complex, matrixed organizational structures (in SaaS or other technology environments)
• Experience building and scaling a top performing team by recruiting and developing Business Development Representatives (BDRs)
• Experience building scalable business processes at a high-growth, fast paced environment ideally using AI/agents aligned with overall Company GTM
• Metrics- and data-driven, with a history of performing above team quota.
• Deep expertise in building and scaling enterprise sales development methodologies and pipeline generation strategies
• Demonstrated success in developing and implementing data-driven sales enablement programs
• Exceptional leadership skills with ability to inspire, coach, and develop sales talent
• Advanced proficiency with sales technology stack, including Salesforce, Outreach, and other advanced sales intelligence platforms
• Strong strategic planning and execution capabilities
• Ability to travel extensively throughout the US, Canada or LatAm

Leadership Capabilities:

• Strategic vision for sales development's role in driving revenue growth
• Ability to translate complex business strategies into actionable plans
• Ability to lead through change management
• Exceptional problem solving, process and critical thinking, communication and interpersonal skills
• Proven ability to lead through influence and collaboration
• Data-driven decision-making approach with strong analytical capabilities

Pay Range Transparency:

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.

For more information regarding which range your location is in visit our page here.

Zone 2 Pay Range $146,600-$201,500 USD

XML job scraping automation by YubHub

Join our Talent Community to learn about future job opportunities!

About Us

Sourcegraph is a software company that provides a code intelligence platform for developers. Our platform includes Code Search, Deep Search, and MCP, which help developers navigate, understand, and operate on massive, complex codebases with speed and confidence.

Teams at companies like Stripe, Uber, and Dropbox rely on Sourcegraph to ship faster and with higher quality. We're backed by a16z, Sequoia, and Redpoint, and operate as a globally distributed team.

Join Our Talent Community

If you're interested in joining our team at Sourcegraph but don't see an opportunity that you'd like to apply to, please fill out a quick application below to join our Talent Community to stay connected with us to learn about future opportunities that align with your background!

Benefits

We offer competitive compensation and benefits, including a globally distributed team that values high agency, direct communication, and a deep love for developers and their craft.

Equal Opportunity Employer

Sourcegraph is an equal opportunity workplace; we welcome people from all backgrounds. Sourcegraph participates in E-Verify for U.S. Employees.

XML job scraping automation by YubHub

You'll work with a collaborative, customer-focused team who values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward.

Some of the key responsibilities of this role include:

• Forming successful relationships with clients throughout your assigned territory to provide technical and business value in collaboration with an Account Executive and a Senior Solutions Architect.
• Gaining excitement from clients about Databricks through hands-on evaluation and Spark programming, integrating with the wider cloud ecosystem and 3rd party applications.
• Contributing to building the Databricks technical community through engagement at workshops, seminars, and meet-ups.
• Becoming a Big Data Analytics advisor on aspects of architecture and design.
• Supporting your customers by authoring reference architectures, how-tos, and demo applications.

We're looking for someone with a strong aptitude and familiarity working with clients, creating a narrative, aligning the agenda based on business priorities, and achieving tangible outcomes. Experience in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences, requiring an ability to context switch in levels of technical depth, is also essential.

Some of the key requirements for this role include:

• Strong knowledge of Big Data Analytics and experience with cloud platforms (e.g., Databricks, AWS, Microsoft, GCP, or other relevant platforms).
• Proficiency with Artificial Intelligence, AI Agents, and Big Data Analytics technologies, including hands-on expertise with sophisticated proofs-of-concept and public cloud platform(s).
• Experience diving deeper into solution architecture and Data Engineering.
• Coding expertise in a core programming language (i.e., Python, Java, Scala).
• A foundational understanding of Apache Spark architecture is preferable; hands-on skills will be advantageous for the role.

This will be an office-based contract (Amsterdam), with a hybrid schedule. An initial 12-month fixed-term contract is to be offered, with the expectation of extending/converting to FTE upon successful completion of the probation period.

XML job scraping automation by YubHub

Join us at Brex, the intelligent finance platform that enables companies to spend smarter and move faster in over 200 markets. As a Senior Executive Recruiter, you will lead end-to-end executive searches, partnering directly with senior leadership to attract, assess, and close world-class talent across the organization.

Responsibilities

• Lead full-cycle executive searches from intake through close, including role definition, sourcing strategy, assessment, and offer negotiation
• Partner directly with the Executive Team and senior business leaders as a trusted advisor on hiring strategy, org design, and leadership talent decisions
• Drive rigorous executive assessment, evaluating candidates on leadership competencies, business impact, and cultural alignment
• Build and engage high-caliber pipelines of Director+ talent across G&A and GTM functions
• Deliver market insights and talent intelligence that influence hiring decisions, compensation strategy, and competitive positioning
• Own and deliver a best-in-class, high-touch candidate experience for senior leaders
• Lead offer strategy, negotiation, and closing for complex executive hires
• Partner on succession planning and long-term leadership pipeline development
• Collaborate with Executive Sourcers to leverage research, market mapping, and talent intelligence effectively
• Manage and optimize relationships with external executive search firms when needed
• Track and analyze search performance, continuously improving executive hiring outcomes

Requirements

• 6+ years of experience in executive recruiting, either in-house or within a retained search firm
• Proven track record of successfully closing Director+ roles across multiple business functions
• Strong experience partnering directly with executive stakeholders and influencing senior-level hiring decisions
• Expertise in executive assessment, including evaluating leadership competencies and organizational fit
• Experience managing complex, high-stakes searches with multiple stakeholders and competing priorities
• Strong negotiation skills with experience closing senior executive candidates
• Ability to synthesize market data and talent insights into clear, actionable recommendations
• High level of professionalism, discretion, and executive presence
• Experience in tech, fintech, or high-growth environments preferred

Bonus Points

• Prior experience in a retained executive search firm or boutique search agency
• Established network of executive talent within G&A (Finance, Legal, People, Ops) or GTM (Sales, Marketing, Customer Success) functions
• Experience supporting succession planning and executive-level talent strategy
• Strong understanding of executive compensation structures and benchmarking
• Experience mentoring or leading other recruiters or sourcers

Compensation

The expected salary range for this role is $156,392-$195,490. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

XML job scraping automation by YubHub

The ideal candidate will have a bachelor's degree in Computer Science, Software Engineering, or a related field, 4+ years of experience in a software or infrastructure engineering industry, strong experience operating services in production and at scale, deep experience with Go as the primary programming language, experience with infrastructure-as-code, CI/CD systems, and containerization, understanding of system design, scalability, and efficiency, extensive experience with Artifactory, Cloudsmith, and passion for improving developer experience and enabling other engineers to do their best work.

In addition to the above requirements, preferred qualifications include experience integrating or enabling tools that leverage LLMs or code intelligence for developers, experience with KubeVirt, KataContainers, and a willingness to learn and adapt to new technologies and processes.

XML job scraping automation by YubHub

We invest in our BDRs. We strongly believe in giving our team the opportunities to grow & develop at Intercom, to push themselves outside of their comfort zones to achieve goals they never thought possible. In joining the Business Development team at Intercom, you join a community that believes in development and promotion from within. We’re looking for people who are excited to work in a fast-moving company, make an impact, and rapidly develop their career in sales.

As a BDR team, we empower one another to achieve our goals, exceed expectations and continue to deliver real business impact. We’re looking for a teammate to do the same!

Key responsibilities include:

• Strategic Account Targeting: Partner with Enterprise Account Executives to build and prioritize highly strategic target account lists. This includes deep dives into firmographics, technographics, and intent data to identify top opportunities.

• Expert Enterprise Prospecting: Generate new business pipeline through expert cold calling, highly personalized email, and targeted LinkedIn social selling. You'll consistently attract new, large-scale customers by crafting hyper-personalized messaging for C-level executives, orchestrating multi-threaded outreach campaigns, and leveraging sales intelligence tools to uncover critical insights and pain points.

• Exceptional Prospect Experience: Deliver an outstanding and tailored experience for prospective enterprise customers, acting as the initial point of contact and ensuring a high-value introduction to our solutions. You'll articulate Intercom's value as a trusted advisor.

• Product & Market Acumen: Maintain a comprehensive understanding of Intercom's product suite and its value proposition.

• Cross-Functional Optimization: Collaborate with Marketing, Sales Operations, and Product to improve business processes that directly impact enterprise pipeline generation and conversion, providing valuable field feedback.

To be successful in this role, you will need:

• Strong desire to build a career in Sales, you want to be an Account Executive or a closing based role in the future

• 1+ year of customer-facing work experience (Sales and/or SaaS experience is a +)

• Experience and success from working with Enterprise sized accounts.

• Operational Excellence: You can use your time in an effective and efficient manner to complete revenue driving activities, you can quickly identify where to focus your efforts to drive more pipeline.

• Competitive Landscape & Industry Knowledge is crucial. You’ll bring an understanding of the SaaS landscape and our target verticals. You always want to stay on top of the latest news & industry trends.

• Prospecting skills (cold calling, email, social): You know how to leverage modern sales engagement tools to deliver prospect engagement across multiple channels (phone, email, LinkedIn)

• Communication: You can articulate your thoughts and express ideas effectively using verbal, written and non-verbal communication skills (to inform, instruct, and persuade), to different audiences. You listen effectively and love to partner and collaborate with your peers

• Growth Mindset: You’re self-aware and understand both your strengths and weaknesses. You understand every day is an opportunity to be 1% better than the day before. You proactively seek feedback.

• Results Oriented: You bring a never settle approach to quota, progression and team development. Results oriented BDRs are hungry to succeed and raise the bar.

This role offers a competitive salary and equity in a fast-growing start-up, catered lunch every weekday, plus a fully stocked kitchen, regular compensation reviews, flexible paid time off policy, healthcare stipend towards private health insurance for you and your partner/spouse, and MacBooks are our standard, but we also offer Windows for certain roles when needed.

XML job scraping automation by YubHub

hương Campaign & Event Reporting: Build and maintain reporting that provides visibility into the performance of integrated campaigns, programs, and events. Performance Analysis: Analyze campaign and event data to identify trends, insights, and opportunities for improvement. Cohort & Segment Analysis: Support analysis of audience segments and cohorts to better understand reach, engagement, and conversion across integrated programs. Cross-Functional Collaboration: Work closely with Marketing, Sales, and GTM partners to respond to reporting and analysis needs. Operational Excellence: Support improvements to metric definitions, data quality, and reporting consistency for campaign and event measurement. Insight Sharing: Translate analysis into clear, actionable insights and share learnings with stakeholders.

This role requires 3–5 years of experience in analytics, GTM, marketing analytics, or a related field. You should have a strong understanding of GTM metrics related to campaigns, pipeline, and events, as well as experience with data analytics and business intelligence tools (e.g., SQL, Tableau, Looker).

The base salary range for this role is $153,000 - $182,750, and actual base pay will depend on a variety of factors such as education, skills, experience, location, etc.

XML job scraping automation by YubHub

As a Senior Staff Engineer, you will serve as the connective tissue across Compliance's multi-year strategic initiatives, defining how components fit together, identifying where capabilities can be shared rather than duplicated, and ensuring we leverage platform investments from partner teams.

Your decisions will directly affect how Airbnb meets obligations such as Anti-Money Laundering (AML), Know Your Customer (KYC), and sanctions screening while minimizing operational cost and customer friction.

This role extends well beyond the Compliance organization itself. You will partner directly with cross-organizational engineering teams, as well as cross-functional stakeholders across Product, Content, Legal, and Design.

The technical choices you make carry direct financial and legal exposure , requiring the judgment, depth of expertise, and organizational credibility to drive high-stakes design tradeoffs across team boundaries.

Key responsibilities include:

• Owning the end-to-end system design vision for the Compliance organization, setting the architectural direction for an engineering organization of nearly 30 engineers across multiple teams.
• Driving foundational architectural shifts, including the move from an account-centric model to a customer-centric one , rethinking how we model identity, risk, and enforcement across the platform.
• Leading the technical strategy for expanding KYC capabilities , supporting small and medium businesses, reimagining business onboarding and account structures, enabling KYC through third-party APIs, and extending verification to third-party payees.
• Architecting systems that adapt to the evolving digital identity landscape , including new verification standards, government-issued digital credentials, and shifting privacy regulations , without requiring costly re-platforming.
• Ensuring our technical foundations are flexible enough to absorb unforeseen regulatory mandates with aggressive timelines, without destabilizing existing systems or requiring disproportionate engineering investment.
• Partnering with technical leaders across multiple organizations to drive alignment on shared capabilities and cohesive system design, reducing duplication and compounding technical debt.
• Working closely with Product, Design, Policy, Legal, Operations, and other cross-functional partners as part of a globally distributed team to define and ship impactful features.

Requirements include:

• 15+ years of technical experience, with 10+ years of relevant industry experience in a fast-paced tech environment.
• Prior knowledge of Regulatory Compliance standards (AML, KYC, sanctions screening) and demonstrated experience designing and implementing those controls at scale.
• Proven track record of setting technical direction and architectural strategy for a large engineering organization, with the ability to drive alignment across organizational boundaries.
• Experience designing systems that span multiple teams and domains, with a focus on cohesion, reusability, and long-term maintainability over initiative-by-initiative solutions.
• Excellent communication skills and the ability to influence senior technical and non-technical stakeholders across the company.
• Strong problem solver with deep experience operating and leading on-call for production systems at scale.
• Technical leadership: hands-on experience leading large project teams, making high-stakes design tradeoffs, and translating regulatory requirements into scalable system architectures.
• BS/MS/PhD in Computer Science, a related field, or equivalent work experience.
• Proficiency in one or more back-end server languages (Java/Ruby/Go/C++/etc.)
• Deep understanding of architectural patterns of high-scale web and data applications.
• Be future looking , we might be focused on immediate regulations, but need to build for the long term. You think in terms of platforms, not projects.
• End-to-end ownership mentality that transcends team boundaries, with the credibility and judgment to make decisions that carry direct financial and legal implications.

XML job scraping automation by YubHub

The Market Intelligence team operates at the intersection of technical infrastructure, product, data center development, and the global supply chain. The team provides forward-looking insights on markets, competitors, suppliers, customers, and macro forces to inform CoreWeave's infrastructure investments, product roadmaps, and supply chain strategies across GPUs, networking, power, cooling, and site development.

Key responsibilities include:

• Demonstrated leadership experience building and leading Market Intelligence or strategic analytics teams in AI, hyperscale cloud, or high-growth technology environments
• Proven track record delivering measurable value and cost savings across hyperscale or large-scale infrastructure supply chains
• Deep experience conducting competitive intelligence across neocloud and hyperscale cloud providers, including data center and supply chain strategies
• Strong expertise in supplier ecosystem analysis, including supplier financial health, capacity, pricing, lead times, and technology roadmaps
• Experience analyzing regulatory, public policy, utility, and geopolitical factors impacting global infrastructure supply chains and data center operations
• Advanced capability in strategic analytics and modeling, including demand forecasting, inventory optimization, and commodity procurement models
• Demonstrated ability to influence executive decision-making through data-driven insights and strategic recommendations

Preferred qualifications include:

• Recognized industry expertise through publications, conference speaking, or professional/academic recognition in operations research, supply chain, or market analysis
• Experience supporting both infrastructure strategy and customer acquisition or go-to-market planning
• Exposure to global site development, utilities, or large-scale data center construction ecosystems

XML job scraping automation by YubHub

Your primary responsibility will be to lead architecture reviews and set analytical standards. You will own the strategy, technical architecture, and governance model for platforms that make key business metrics consistent, trustworthy, and easy to query at scale. You will also be responsible for owning the hardest cross-cutting analytical problems, driving org-wide data quality and consistency, and shaping long-term technical vision.

To succeed in this role, you will need to have 10+ years of experience in Data Analysis, Analytics Engineering, Business Intelligence Engineering, or Data Science roles, with deep expertise in SQL and familiarity with AI-assisted development tools. You will also need to have a proven track record of setting long-term technical vision for analytics platforms and experience leading cross-team or org-wide data initiatives.

As a Staff Data Analyst at Stripe, you will have the opportunity to work with a talented team of data analysts, data scientists, and engineers to build and maintain a robust analytics infrastructure that supports business growth and decision-making.

If you are a motivated and experienced data professional looking for a challenging role with a high-growth company, we encourage you to apply.

XML job scraping automation by YubHub

You'll conduct hands-on penetration testing, lead red team engagements, and collaborate with blue team counterparts to validate and improve detection and response capabilities. Your work will directly influence how Stripe builds, ships, and secures financial infrastructure used by millions of businesses worldwide.

Responsibilities:

Conduct comprehensive penetration tests across web applications, APIs, cloud environments (AWS/GCP/Azure), mobile applications, and internal infrastructure.

Plan and execute red team engagements that emulate the TTPs of cyber and criminal threat actors targeting financial services, including initial access, lateral movement, persistence, and data exfiltration scenarios.

Perform assumed-breach and objective-based assessments to test detection and response capabilities in coordination with defensive teams.

Partner with detection engineering, threat intelligence, and incident response teams to validate security controls, identify coverage gaps, and improve detection fidelity.

Contribute adversary tradecraft insights to inform detection rule development, threat hunting hypotheses, and incident response playbooks.

Support incident investigations by providing offensive expertise, log analysis, and root cause analysis when required.

Design, develop, and maintain custom offensive tools, scripts, and automation frameworks to enhance assessment efficiency and coverage.

Build internal platforms and workflows that enable scalable, repeatable offensive operations.

Contribute to internal security tooling repositories and champion engineering best practices within the team.

Automate repetitive testing tasks, payload generation, and reporting workflows using modern development practices.

Produce clear, actionable reports that communicate technical findings, business risk, and remediation guidance to both technical and non-technical stakeholders.

Act as a subject-matter expert and primary point of contact for stakeholder teams engaged in offensive security programs and Stripe-wide security initiatives.

Lead offensive security projects end-to-end, mentor junior team members, and foster a culture of continuous learning and knowledge sharing.

Stay current with emerging threats, vulnerabilities, and attack techniques; share research internally and contribute to the broader security community.

XML job scraping automation by YubHub

Key responsibilities include designing, implementing, and configuring HR systems and applications, analyzing business requirements and translating them into technical integration specifications, managing Workday security roles, user permissions, and compliance configurations, developing and maintaining Workday reports, dashboards, and analytics, and configuring and maintaining Workday business processes, workflows, and integrations.

As a Systems Engineer, you will be a trusted partner, collaborating with HR, finance, payroll stakeholders, IT teams, and vendors to deliver innovative and scalable solutions that meet the evolving needs of our organization.

If you love optimizing systems that directly impact business outcomes, are curious about how recruiting operations, HR data, and enterprise systems connect, and are an expert in turning complex requirements into clean, scalable technical solutions, we'd love to talk.

XML job scraping automation by YubHub

The team develops and enhances various AI models, ML services and tools including LLM fine-tuning and optimization, RAG/Search, LLM evaluation and testing automation, feedback-based learning and guardrail for a wide range of applications in Airbnb.

You will build and leverage cutting edge AI technologies to transform Airbnb’s customer service by delivering personalized, easy-to-use and proactive customer service experience.

A typical day involves envisioning, championing, and supporting the development of novel ML systems, product integrations, and performance optimizations to solve real-world problems.

Your expertise should include a PhD/Master’s degree, preferably in CS, or equivalent experience, and 5-12 years of ML engineering experience, with ownership responsibility over large-scale software systems.

Experience with LLM driven chatbot and Agentic AI products would be a big plus.

Excellent communication skills and the ability to work well within a team and with teams across the engineering, product & design organizations are also required.

Fluency in both English and Mandarin is essential.

XML job scraping automation by YubHub

Your responsibilities will include planning, coordinating, and driving capture campaigns across the Division to close deals. You will work with other growth team members to drive Strategic Planning and prioritisation for the Division to inform senior leader and C-Suite decision making for resourcing decisions.

You must have strong interpersonal skills and a passion for leading diverse teams in a fast-paced environment, an understanding of creating and negotiating the right business deals, competition analysis, and have excellent written, visual, and oral skills to communicate highly complex information in succinct and impactful ways.

Key Responsibilities:

• Plan, Coordinate, Negotiate, and Close business opportunities.
• Strategic Planning across the portfolio.
• Coordinate across the functions of Growth and Communicate to our Customers.
• Inform business decisions.

Required Qualifications:

• The ideal candidate will be a proven growth-focused leader with prior experience in commercial or DoW Capture, Proposals, working with USG Acquisition offices to and Deal Closure and Sales, demonstrating a track record of building, executing, and winning business capture strategies.
• An aptitude and appetite to thrive within organisations with: nascent structure, high-ownership culture, and a “whatever it takes” environment.
• A knack for knocking out deliverables in an ambiguous environment, while maintaining a level-head, strong interpersonal skills, and executive gravitas.
• Demonstrated knowledge in defence acquisitions, with a history of zero-to-one defence program deal closure a plus.
• Familiarity with the programmatic, technical, and operational challenges of developing and deploying Uncrewed Air or Ground systems.
• Demonstrated high-energy, high-ownership individual who will drive performance and exhibit strong management skills with a high level of emotional intelligence.
• Must be able to work in a fast-paced, highly entrepreneurial, and creative environment, and be able to build, adapt, and implement new and innovative approaches to market.
• Excellent writing, communication skills with experience briefing senior executives and customers.
• Bachelor’s degree.
• Eligible to obtain and maintain an active U.S. Top Secret security clearance.

Preferred Qualifications:

• Expertise driving deals between Defence Technology companies and the USG.
• 7 - 15 years proposals or contract management with the DoW.
• Experience with government business development, government contract structures, and government proposal processes.
• Master’s degree or equivalent in a relevant field (Business Administration, Leadership, etc.).
• Ability to travel 30-50%, some International.

Salary Range: $220,000-$292,000 USD

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.

Data at Brex

The Data organization develops insights, models, and data infrastructure for teams across Brex, including Sales, Marketing, Product, Engineering, and Operations.

Our Data Scientists, Analysts, and Engineers work together to make data,and insights derived from data,a core asset across the company.

What you’ll do

As a Data Analyst II (DA), you will play a central role in enhancing the operational tracking and reporting capabilities of different business teams across Brex.

You will work closely with Data Scientists, Data Engineers, and partner teams to drive meaningful insights for the business through visualizations, self-service tools, and ad-hoc analyses.

This is a high-impact role in a fast-paced fintech environment where your work will directly influence strategic decisions.

Where you’ll work

This role will be based in our New York 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 three coordinated days in the office per week, Monday, Wednesday and Thursday.

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

Responsibilities

Apply data visualization and storytelling skills in creating business intelligence solutions (such as Looker and/or Hex dashboards) that enable actionable insights.

Perform ad-hoc analyses and deep dives to investigate business questions, surface trends, and provide data-driven recommendations.

Develop self-service data tools and processes that empower business stakeholders to independently monitor the performance and health of their respective areas.

Collaborate closely with Data Scientists and Data Engineers to identify data sources, enable data pipelines, and support the development of analytical data models that operationalize reports and dashboards.

Implement and maintain rigorous data quality checks to ensure the integrity and robustness of datasets used across dashboards, reports, and analyses.

Partner with various departments,including Sales, Operations, Product, and Finance,to understand their data needs and deliver tailored analyses and reporting that support strategic planning.

Contribute to the automation of recurring analyses and reporting workflows using Python.

Requirements

3+ years of experience in data analytics or a related role in a professional setting.

2+ years of experience working directly with Sales, Operations, Product, or equivalent business teams.

Fluency in SQL to manipulate data and perform complex analyses (CTEs, window functions, joins across large datasets).

Experience with Python for data analysis, automation, or scripting.

Experience with business intelligence and data visualization tools (Looker, Hex, Tableau, or similar).

Strong quantitative and analytical skills with a demonstrated ability to translate data into business insights.

Strong communication skills and the ability to work effectively with stakeholders across different functions and levels of technical fluency.

Experience with generative AI and LLM-based tools (Claude Code, Cursor, GitHub Copilot) to perform and accelerate analyses, automated reporting, and build self-service data tools.

Bonus points

Familiarity with cloud data platforms (e.g., Snowflake, BigQuery, Databricks).

Familiarity with dbt for data modeling and transformation.

Exposure to data pipeline orchestration tools (e.g., Airflow).

Experience in fintech, financial services, or payments.

Comfort operating in a fast-paced, high-growth environment with evolving priorities.

Compensation

The expected salary range for this role is $93,600 - $117,000.

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

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

XML job scraping automation by YubHub

We are seeking a Senior Product Manager to co-own the GTM systems roadmap alongside Business Operations, drive requirements and delivery across Salesforce CRM & CPQ, Service Cloud, billing systems, and related integrations, and bring a strong product mindset , user centricity, metrics ownership, and accountability , to everything we ship.

This role combines strategic product thinking with the hands-on depth of a senior business systems analyst. It sits at the centre of key programs including M&A integration, billing platform implementation, and customer experience transformation.

Responsibilities: Co-own the GTM systems roadmap with Business Operations , leading requirements gathering, prioritization, and backlog management across Salesforce (Sales Cloud, Revenue Cloud/CPQ, Service Cloud), billing systems, CLM, marketing automation, and integrations Serve as the primary liaison across the Global Field Organization (including Sales, Customer Success, and Customer Support), Marketing Ops, Finance, Legal, and Engineering , translating stakeholder needs into BRDs, user stories, and data mapping specifications Lead business analysis across all initiatives , projects, enhancements, and operational improvements , including current-state analysis, process mapping, gap identification, UAT, and acceptance criteria definition Drive delivery of complex programs such as M&A GTM integrations (cross-org data model alignment, Salesforce org consolidation, process unification, cutover planning) and Salesforce-to-billing system integration (usage metering, entitlements, invoicing, and revenue recognition) Own success metrics for all delivered initiatives , define KPIs, track adoption, data quality, and system performance, and hold accountability for outcomes

Who You Are: 8+ years of experience as a Product Manager, Senior Business Systems Analyst, or equivalent owning GTM or revenue operations systems at a high-growth B2B company Deep experience with Salesforce CRM and CPQ , lead-to-cash process design, quoting workflows, and approval structures , from a requirements and product ownership perspective Experience with Salesforce Service Cloud or equivalent customer support/experience platforms Strong business analysis skills: requirements gathering, process mapping, BRD/user story writing, UAT facilitation, and data mapping Demonstrated product mindset , user-centric systems design, metrics-driven decision making, and ownership over outcomes Proven ability to manage complex, cross-functional backlogs, balance competing priorities, and make clear prioritization decisions Strong business acumen , GTM and Field Operations metrics (pipeline, ARR, NRR, CSAT, time-to-resolution) and ability to connect systems decisions to commercial outcomes Excellent communication skills , requirements writing, stakeholder workshops, and roadmap communication to leadership Experience working in Agile/Scrum environments with engineering teams

Preferred: Experience with Salesforce org consolidation in an M&A context , data model reconciliation, field mapping, process and automation alignment, and cutover planning Experience with usage-based or consumption billing models and their downstream impact on quoting, contracts, entitlements, and invoicing Experience building internal platforms or tools from 0 to 1 , defining problem space, designing solutions, and driving adoption end-to-end Familiarity with adjacent GTM systems: CLM (DocuSign CLM, Ironclad), marketing automation (Marketo, HubSpot), ERP (NetSuite), tax platforms (Avalara), and middleware (MuleSoft, Boomi) Experience in compliance-driven environments , SOX, SOC 2, or similar Salesforce certifications (Administrator, Business Analyst, CPQ Specialist, or similar)

Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams , even if you aren’t a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk. You love owning GTM systems and translating business needs into scalable solutions You’re curious about improving end-to-end commercial processes and system integrations You’re an expert in Salesforce CRM, CPQ, and GTM systems strategy

Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: Be Curious at Your Core, Act Like an Owner, Empower Employees, Deliver Best-in-Class Client Experiences, Achieve More Together. We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization’s growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!

The base salary range for this role is $165,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

What We Offer The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: Medical, dental, and vision insurance 100% paid for by CoreWeave Company-paid Life Insurance Voluntary supplemental life insurance Short and long-term disability insurance Flexible Spending Account Health Savings Account Tuition Reimbursement Ability to Participate in Employee Stock Purchase Program (ESPP) Mental Wellness Benefits through Spring Health Family-Forming support provided by Carrot Paid Parental Leave Flexible, full-service childcare support with Kinside 401(k) with a generous employer match Flexible PTO Catered lunch each day in our office and data center locations A casual work environment A work culture focused on innovative disruption

Our Workplace While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration and team-building activities.

XML job scraping automation by YubHub

The ideal candidate will have a minimum of 7 years of experience in a software or infrastructure engineering industry, deep experience operating services in production and at scale, proficiency in Go as your primary programming language, strong experience with infrastructure-as-code, CI/CD systems (e.g., GitHub Actions, ArgoCD), and containerization (e.g., Docker, Kubernetes), expertise in leading scale system design, scalability, and efficiency, experience with third-party vendors like Artifactory, and passion for improving developer experience and enabling other engineers to do their best work.

In addition to the required skills, preferred skills include experience integrating or enabling tools that leverage LLMs or code intelligence for developers (e.g., GitHub Copilot, Cody, custom LLM integrations), experience with KubeVirt, KataContainers, and experience with LangGraph/LangChain.

XML job scraping automation by YubHub

Key Responsibilities:

• Provide embedded CI program support to an Anduril division.
• Support the development and execution of a variety of key CI & Security Investigation team initiatives tailored to the program's unique threats and requirements.
• Coordinate with federal agencies, including the Department of Defense (DoD), Intelligence Community (IC), and Federal Law Enforcement, to access relevant threat information and stay current on evolving adversary tactics.
• Establish and leverage collaborative partnerships across internal stakeholders to identify data necessary to support robust research and analysis of threats from nation-state adversaries to the program's workforce and supply chain.
• Analyze data from various sources to identify threats, anomalous behaviors, and other indicators.
• Produce tailored and strategic products to support the Division.
• Provide analytic support to suspected CI, Insider Threat, and security incidents or issues involving supply chain security.
• Prepare detailed reports and presentations on threat findings, case studies, risk assessments, and recommended actions for multiple audiences.
• Provide relevant CI training and awareness.
• Inform and support program OPSEC plans.

Requirements:

• Bachelor's or Master's degree in Security or Intelligence Studies, Political Science, Criminal Justice, or a related field.
• 7 years of relevant work experience in CI investigations or analysis, Insider threat, people/entity risk vetting, intelligence analysis, assessing complex threats from nation-state actors, and insider threats.
• Experience leveraging critical thinking skills to creatively solve complex problems and produce analysis and recommendations in a fast-paced environment.
• Experience leveraging multiple data sets and tools to support complex research and analysis as well as developing risk assessments and risk mitigation recommendations.
• Experience providing CI support to classified programs.
• Demonstrated understanding of the intelligence threats facing the industry.
• Strong critical thinking, collaboration, and interpersonal skills.
• Proven ability to effectively analyze and communicate complex risks.
• Must possess an active security clearance (Top Secret/SCI is required).

Preferred Qualifications:

• Familiarity with relevant laws, regulations, and standards governing defense industry security.
• Experience conducting analysis of nation-state-related threats for government and private industry.
• Formal analytic training and/or certifications.

XML job scraping automation by YubHub

You'll act as a trusted advisor during technical evaluations, guide customers through solution design and adoption, and partner closely with Account Executives and cross-functional teams to connect customer needs with GitLab's platform strategy.

Reporting to a regional Solutions Architect Manager, you'll play a direct role in customer acquisition, expansion, and long-term success while helping GitLab stand out in a fast-moving AI and DevSecOps market.

Key responsibilities include:

• Guiding technical discovery, demos, workshops, and validation activities that show how GitLab supports customer requirements across planning, development, security, deployment, and monitoring, helping improve technical win rates and accelerate evaluation cycles.
• Coordinating the technical evaluation process as the directly responsible individual for proofs of concept, proofs of value, solution design, and technical responses for tenders or audits, with a focus on reducing time to technical validation and supporting successful customer acquisition.
• Collaborating with Small and Mid-Market Account Executives and regional sales teams in North America to shape account strategies for new business and expansion opportunities.
• Advising customers on modern software development, continuous integration, continuous deployment, security, cloud, and DevSecOps practices, and connecting those practices to business outcomes.
• Building tailored demos, reference architectures, talk tracks, and presentation materials that support active Small and Mid-Market evaluations and reflect customer-specific use cases, helping Account Executives move new business opportunities forward.
• Supporting Account Executives with technical discovery guidance, objection handling, and evaluation planning for common Small and Mid-Market scenarios, while contributing reusable materials that improve execution across similar new business opportunities.
• Developing reusable technical workflows, including pre-built projects, continuous integration and continuous deployment templates, and proof of value starting points, where they help accelerate customer evaluations and reduce time to technical validation.
• Sharing customer feedback, use cases, and competitive insights with product management, engineering, sales, and marketing to improve product direction and field effectiveness.

To succeed in this role, you'll need:

• Proficiency with the end-to-end software development lifecycle, including DevSecOps practices and continuous integration and continuous deployment workflows.
• Hands-on experience with GitLab or comparable source control, continuous integration and continuous deployment tooling, and collaboration platforms, with the ability to map platform capabilities to customer use cases.
• Practical knowledge of cloud computing, deployment patterns, security concepts, and operational considerations relevant to modern software teams.
• Ability to guide technical evaluations, including proofs of concept, proofs of value, workshops, value stream assessments, and technical contributions to tenders or audits.
• Skill in explaining technical concepts clearly to both practitioners and senior business or technical stakeholders.
• Experience building trusted relationships with customers and acting as their advocate with internal partners across product, engineering, sales, and marketing.
• Interest in improving technical evaluation quality and efficiency through practical reusable assets, templates, and demo environments that support customer-facing work.
• Openness to candidates with transferable experience from roles such as developer, DevOps, technical pre-sales, or other scale-oriented technical environments.

XML job scraping automation by YubHub

You will serve as a trusted advisor and operational force multiplier, bringing deep B2B SaaS expertise to help teams achieve revenue targets while building scalable frameworks that drive industry-specific customer success.

Key responsibilities include:

• Developing go-to-market strategies, motions, country/region prioritisation and sector focus and strategy

• Identifying industry customer needs, pain points etc. and sharing feedback cross-functionally to guide solution building across global teams

• Building and maintaining industry-specific value propositions, use cases, and sales playbooks

• Driving territory and account segmentation strategies based on industry characteristics and opportunity

• Establishing industry benchmarks and best practices to guide sales approach and prioritization

• Working with Finance on target setting, planning and bottom-up modeling

• Developing comprehensive industry frameworks that standardize how customers in each vertical derive value from our solutions

• Driving quarterly, semi-annual, and annual planning cycles for industry-focused GTM segments

• Analyzing industry-specific sales metrics and pipeline dynamics to develop proactive insights

• Partnering with Account Executives to evolve sales motions and industry best practices based on vertical nuances

• Continuously evaluating market opportunities, competitive positioning, and whitespace within target industries

• Leading collaboration across Strategy and RevOps, Sales Enablement, Strategic Finance, Product, and Marketing teams to ensure industry alignment

• Working with Product teams to communicate industry-specific feature requirements and market feedback

• Preparing executive-level materials including industry performance reviews, strategic planning sessions, and board updates

• Driving alignment across teams to ensure consistent execution of industry-specific go-to-market strategies

• Partnering with Marketing on industry-focused campaigns, events, and thought leadership initiatives

• Removing operational bottlenecks specific to complex industry sales cycles and compliance requirements

• Executing critical processes including strategic account transitions, industry-specific CRM configurations, and vertical market data management

• Optimizing sales technology stack and ensuring effective adoption of Salesforce and other sales tools

• Establishing sales process methodology, qualification criteria, and stage definitions for consistent execution

• Ensuring smooth operations across complex, multi-stakeholder sales motions typical in enterprise B2B software

The ideal candidate will have:

• 10+ years of experience in B2B SaaS or enterprise software, with focus on sales strategy, revenue operations, industry consulting, or commercial roles

• Deep expertise in one or more enterprise industry verticals with proven track record of driving growth in those markets

• Strong analytical capabilities with demonstrated ability to convert complex industry data into actionable insights and strategy

• Direct experience in commercial GTM roles selling or supporting sales of B2B software solutions to enterprise customers

• Proven experience designing territories, setting quotas, and building variable compensation plans for enterprise sales teams

• Track record of building sales capacity models, productivity frameworks, and headcount planning processes

• Extensive experience with enterprise CRM systems (Salesforce required) and business intelligence tools

• Proven ability to influence and partner with C-level stakeholders and senior sales leadership

• Track record of developing industry-specific frameworks, sales plays, and value propositions

• Bachelor's degree in business, economics, or related field

Strong candidates may also have:

• Experience at high-growth B2B SaaS companies, particularly in industry-focused GTM or vertical sales roles

• Background in AI/ML, cloud infrastructure, or enterprise software companies serving multiple industries

• Track record of scaling sales organizations through 3x+ growth periods in B2B software

• MBA or advanced degree

• Experience building industry-specific go-to-market motions from scratch

• Direct enterprise sales or sales engineering experience in complex, multi-stakeholder environments

• Experience with emerging technologies (AI, ML) in enterprise contexts

• Management consulting experience with focus on industry strategy or commercial excellence

Annual compensation range for this role is €140,000-€200,000 EUR.

XML job scraping automation by YubHub

Stabilize & Optimize: Dive deep into existing Oracle Fusion ERP integrations across manufacturing, supply chain, finance, and engineering systems. Diagnose root causes of instability, re-architect weak points, and implement robust error handling and monitoring to achieve mission-critical reliability.

Architect & Build: Design and develop new, scalable enterprise integrations using Oracle Integration Cloud (OIC). Translate complex business requirements for product data, multi-level Bills of Material (BOMs), procurement, inventory, work orders, and financial transactions into resilient and efficient integration flows.

Own the Integration Lifecycle: Manage the end-to-end process from design and development through testing (unit, SIT, UAT) and deployment, utilizing CI/CD best practices. Proactively tune and maintain integrations to ensure peak performance as data volumes grow.

Ensure Data Integrity: Become the trusted expert on data transformation and mapping between systems. Implement rigorous validation and reconciliation logic to guarantee that our enterprise data is flawless across all systems.

Collaborate & Influence: Act as the key technical partner to our ERP, Manufacturing, Supply Chain, and Finance teams. Clearly articulate technical designs, trade-offs, and progress to both engineering peers and business stakeholders, guiding them toward best-practice integration patterns.

Leverage Modern Oracle Cloud Tools: Utilize Oracle Visual Builder Cloud Service (VBCS) where appropriate to build lightweight user interfaces that enhance integration workflows, data validation, or operational dashboards.

XML job scraping automation by YubHub

This role requires a strong attention to detail, excellent communication skills, and the ability to work collaboratively with cross-functional teams. You will utilize inventory management software and other tools to maintain accurate records and provide regular reports to management.

Key responsibilities include:

• Maintaining an accurate inventory of all hardware and other IT assets within the data center region
• Coordinating the shipping and receiving of IT materials and ensuring their safe storage and distribution within the data center and to other facilities
• Conducting ongoing audits of the asset inventory to verify accuracy and completeness
• Collaborating with the operations team to allocate resources efficiently
• Keeping detailed records of inventory, shipments, and audits

Requirements:

• Proven experience in inventory management or a related field
• Strong proficiency in Microsoft Excel
• Familiarity with asset management software
• Excellent organizational and problem-solving skills
• Detail-oriented with a high level of accuracy
• Ability to adapt to a dynamic and fast-paced startup environment
• Comfortable working in a data center environment, and ability to move and lift heavy objects

What We Offer:

• Competitive salary range of $65,000 to $85,000
• Discretionary bonus, equity awards, and a comprehensive benefits program
• Opportunities for professional growth and development
• Collaborative and dynamic work environment
• Flexible PTO and catered lunch
• A casual work environment
• A work culture focused on innovative disruption

Our Workplace:

• While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets.
• New hires will be invited to attend onboarding at one of our hubs within their first month.
• Teams also gather quarterly to support collaboration.

XML job scraping automation by YubHub

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.

XML job scraping automation by YubHub

What you'll do at Figma:

• Drive fundamental and applied research in AI.
• Explore the boundaries of what is possible with the current technology set to build best in class models for Figma's domains.
• Combine industry best practices and a first-principles approach to build cutting edge Generative AI models, using techniques like Supervised Finetuning (SFT), Reinforcement Learning (RL), prompt improvements and synthetic data generation.
• Work in concert with product and infrastructure engineers to improve Figma's products through AI powered features.
• Collaborate closely with product managers and engineers to transform user feedback into requirements for AI systems.
• Build evaluation systems to measure and improve quality of AI features in Figma products.

We'd love to hear from you if you have:

• Extensive experience in building generative AI features through prompt engineering, and fine tuning models in production environments.
• Experience working on deep learning and generative AI frameworks like PyTorch, JAX, HuggingFace etc.
• Experience training LLMs with Reinforcement Learning techniques such as preference-based RL (DPO, PPO) and/or RL with verifiable rewards (RLVR) such as GRPO/DAPO.
• 4+ years in Generative AI, and 6+ years of experience in one or more of the following areas: machine learning, natural language processing/understanding, computer vision.
• Strong software engineering skills with 5+ years of experience in programming languages (Python, C++, Java or R).
• Experience communicating and working across functions to drive solutions.

While not required, It’s an added plus if you also have:

• Proven track record of planning multi-year roadmap in which shorter-term projects ladder to the long-term vision.
• Experience in mentoring/influencing senior engineers across organizations.
• Expertise working on large scale and distributed AI training.

XML job scraping automation by YubHub

Work within this role includes quick-turn operational fire-fighting, solving messy problems, redesigning and implementing processes, and leading high-impact strategic projects. financial and operational functions of the Industrial & Special Programs organization.

The ability to establish and cultivate collaborative partnerships across internal stakeholders to enable the delivery of solutions Help manage a team of professionals, providing guidance, training, and support. Establish and maintain relationships with Anduril counterparts to share best practices and ensure alignment with companywide initiatives. Develop and review internal policies standard operating procedures and provide recommendations and corrective actions to the process owners . Manage and coordinate with the Security Education and Training lead to develop and deliver training and awareness materials through a variety of platforms fostering a culture of security awareness and vigilance.

You are self-driven and relentlessly proactive. You don’t need someone to tell you to “move”. You just move. We’d rather have to tell you to slow down than to speed up.

XML job scraping automation by YubHub

The Director of Data & AI Support Engineering - Bangalore will lead and grow a regional team of Data & AI technical experts in India, focused on providing resiliency and smooth operation of customer production workloads.

This leader will oversee support operations during APJ and EMEA business hours with close alignment with other global teams to ensure 24x7 support coverage through coordination with other regions.

The team resolves complex and long-running data engineering use cases raised by Databricks customers to support the success of live use cases - which includes performance optimization, ensuring resiliency of production jobs, helping customers stabilize workloads on new products and features, and more.

Reporting to the Global Lead of Frontline Support Engineering - Data & AI, you will be able to understand the real-world business problems our customers are solving with data and are committed to helping them achieve reliability and performance of their systems to meet their goals.

The Impact You Will Have:

• Serve as the India site leader for an elite team of Data & AI specialists that can provide coverage of customers across EMEA & APJ business hours.

• Grow the technical expertise of the team to support successful adoption of new products and features of the Databricks platform for customer production workloads.

• Engage with top customers to understand how to support their business needs with their Data & AI strategy, in collaboration with field engineering and sales when required.

• Partner with internal product engineering teams to make Databricks products better and more supportable.

• Understand how to maintain high reliability of the Databricks platform to successfully achieve customer business goals.

Competencies & Requirements:

• Proven people leadership experience: at least 6+ years as a manager of managers.

• 18+ years in the IT industry, with a strong background in Software Engineering with specialization in Data Engineering, ideally with Big Data & Cloud experience.

• Experience leading large teams (100+ employees) in engineering, technical support, or consulting. Support experience is not required - but customer facing experience is highly desirable.

• Hands-on experience in at least two of the following at production scale:

• Big Data (Spark, Hadoop, Kafka)

• Machine Learning / Artificial Intelligence projects

• Data Science / Streaming use cases

• Spark expertise is a big advantage.

• Strong background in customer-facing support leadership roles.

• Excellent troubleshooting skills across distributed systems.

• Strong ownership mindset with ability to thrive in a fast-paced, startup-like environment with evolving needs.

• Bachelor’s/Master’s in Computer Science or equivalent technical field.

Benefits:

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion:

We are committed to fostering an inclusive culture where everyone feels valued, respected, and empowered to contribute their best work.

XML job scraping automation by YubHub

Your work will vary from quick-turn operational fire-fighting, building and redesigning processes, to leading high-impact strategic projects. This role allows you to not only see the magic behind running the Mission Systems Division and engage with each part of the business line (program management, engineering, production, and corporate), but to also work with and support the Head of Operations to drive toward business success.

Responsibilities:

• Drive day-to-day business operations for the Mission Systems Division. This would include financial tracking, staffing/hiring, facilities expansion/maintenance, special projects, process improvement, corporate governance, etc. and working with cross functional partners across these domains.

• Manage the Business Line P&Ls in partnership with a FP&A partner to track financial health of budget against goals, drive actions to maintain operating expenses with budget, assess financial data and create strategies to drive toward margin targets, etc.

• Drive content preparation for Monthly Business Reviews and Quarterly Business Reviews for presentation to Anduril Executives.

• Engage with Business Line leaders and program managers to track and report out status and risks.

• Drive annual planning for the Mission Systems Division as part of the corporate planning cycle.

• Manage staffing and hiring - Support tactical staffing assignments in service of critical business line needs, track headcount, and work with recruiting to prioritize open roles and determine hiring strategies needed for rapid scaling.

• Work with corporate technology to build the underlying data and system infrastructure for organizational operations - Confluence spaces, Jira systems, data drives, etc.

• Manage Mission Systems Division communications internal to the team and external across the company, such as All Hands, etc.

• Manage planning and strategy for facilities, secured spaces, and capital investment.

• Own and execute on special projects for the Mission Systems Division and Business Lines - Examples could include supporting acquisition integrations, working with the Business Line GMs on strategies to reduce production variance costs, brainstorming on org development, completing strategic assessments and studies for the Head of Operations, etc.

Required Qualifications:

• 8+ years of working experience with minimum 2+ years in a technical engineering role or 2+ years in a consulting, operations, finance, product/program management, or general business analyst role (You have a business foundation and can understand how a P&L works).

• A strong communicator across a wide dynamic range - Ability to translate and articulate thoughts clearly and simply across a wide range of roles (working level engineers, finance partners, recruiters, cross functional leadership, and executives).

• Experience interfacing with leadership and executives - you understand how to cultivate trust and facilitate meetings for and engage with executives.

• Strong emotional intelligence and ability to solve operational problems not only from a data driven lens, but also in a people-centric way by building strong cross functional relationships across the company and within the engineering organization.

• Combination ability to execute on a tactical level as well as put together a strategy to solve complex, ambiguous, cross-functional problems. You are comfortable rolling up your sleeves and diving deep into executing operational tasks that require high attention to detail and high organization skills, but you can also zoom out at a 30,000 foot level to create a strategy that solves high level problems for the business line, division, and company.

• High ownership with the horsepower to juggle multiple (3-5+) large projects and priorities in parallel, at a rapid pace, and report out on progress regularly without dropping any balls.

• Discerning and an incredibly fast learner

• Highly Organized

• Eligible to obtain and maintain an active U.S. Top Secret security clearance

Preferred Qualifications:

• Experience working in the defense and/or technology sectors

• Experience working in a role that requires influencing stakeholders

US Salary Range $146,000-$194,000 USD

Benefits:

• Healthcare Benefits

• Income Protection

• Generous time off

• Family Planning & Parenting Support

• Mental Health Resources

• Professional Development

• Commuter Benefits

• Relocation Assistance

• Retirement Savings Plan

XML job scraping automation by YubHub

Responsibilities: Assess model outputs for factual accuracy, logical coherence, fallacious reasoning, and hidden assumptions. Identify subtle ideological capture, statistical fallacies, and rhetorical sleights of hand. Write exemplary reasoning that models intellectual honesty, source evaluation, nuanced weighing of primary and secondary sources, and scoping of confidence. Construct adversarial examples and red-team prompts to expose remaining epistemic weaknesses. Contribute to the definition and scaling of constitutional principles for truth-seeking behavior.

Basic Qualifications: Published analytical work and academic training in a high-rigor field. Strong Forecasting track record (e.g., Metaculus, Good Judgment), rigorous analysis, or public updating on errors. Deep knowledge in at least three of: philosophy of science, cognitive psychology, statistics, logic, linguistics, history, economics, or related disciplines. Ability to steel-man opposing views and separate settled knowledge from speculation. Habitual reliance on primary sources and base rates.

Preferred Skills and Experience: Experience in intelligence analysis, investigative journalism, or academic peer review.

XML job scraping automation by YubHub

You will partner closely with Product Management, Engineering, Design, and Go-to-Market teams to drive programs from concept through launch, ensuring high-quality delivery, predictable execution, and strong adoption.

This role balances strategic influence with hands-on execution,translating product strategy into clear delivery plans, managing dependencies and risks, and ensuring launches deliver measurable customer and business impact.

Responsibilities:

• Lead execution of customer-facing features such as Models, Weave, and other emerging products
• Partner closely with Product Management, Engineering, Design, and Go-to-Market teams to drive programs from concept through launch
• Ensure high-quality delivery, predictable execution, and strong adoption
• Balance strategic influence with hands-on execution

Requirements:

• Bachelor’s degree in a technical field or equivalent practical experience
• 7+ years of experience managing large-scale, complex programs in SaaS, Cloud, or ML/AI environments
• Demonstrated experience delivering customer-facing product features and launches end-to-end
• Proven ability to lead cross-functional programs involving Product, Engineering, Design, and Go-to-Market teams

Preferred:

• Master’s degree or advanced technical degree
• Familiarity with ML developer workflows, model lifecycle management, or AI tooling
• Experience influencing product and technical direction to align with long-term platform strategy

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast! We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for takeoff, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!

What We Offer

The base salary range for this role is $188,000 to $275,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

In addition to a competitive salary, we offer a variety of benefits to support your needs, including:

• Medical, dental, and vision insurance - 100% paid for by CoreWeave
• Company-paid Life Insurance
• Voluntary supplemental life insurance
• Short and long-term disability insurance
• Flexible Spending Account
• Health Savings Account
• Tuition Reimbursement
• Ability to Participate in Employee Stock Purchase Program (ESPP)
• Mental Wellness Benefits through Spring Health
• Family-Forming support provided by Carrot
• Paid Parental Leave
• Flexible, full-service childcare support with Kinside
• 401(k) with a generous employer match
• Flexible PTO
• Catered lunch each day in our office and data center locations
• A casual work environment
• A work culture focused on innovative disruption

Our Workplace

While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration.

XML job scraping automation by YubHub

Within your first 90 days, you will establish a clear regional growth and investment plan, demonstrating a bias for action and a focus on measurable outcomes. You will build and sponsor trusted, executive-level relationships with customers and partners to drive long-term success, staying relentlessly customer-obsessed.

You will coach your team to lead with strong vision-setting, methodology-based selling, and alignment to customer goals and outcomes, elevating performance through accountability and excellence. You will ensure accurate forecasting and create a predictable, high-growth business through disciplined execution and inspection.

You will develop a deep understanding of Databricks' technical platform and roadmap, enabling informed decisions that deliver durable customer value. You will embrace truth-seeking by making data-driven decisions and adapting quickly as insights evolve.

Key responsibilities include:

• Leveraging your network to build a strong talent pipeline and hire exceptional sales leaders as the team grows
• Establishing a clear regional growth and investment plan within your first 90 days
• Building and sponsoring trusted, executive-level relationships with customers and partners
• Coaching your team to lead with strong vision-setting, methodology-based selling, and alignment to customer goals and outcomes
• Ensuring accurate forecasting and creating a predictable, high-growth business through disciplined execution and inspection
• Developing a deep understanding of Databricks' technical platform and roadmap
• Embracing truth-seeking by making data-driven decisions and adapting quickly as insights evolve

Requirements include:

• A proven people leader with 5+ years of experience leading high-performing Enterprise sales teams selling into strategic/global accounts in Germany
• A strong track record of developing high-performing teams in high-growth Data, AI, Cloud, or SaaS/Tech companies, consistently exceeding ambitious sales targets
• Extensive knowledge of the Logistics vertical and proven relationships across strategic accounts in this space
• A talent-first leader who knows how to identify, develop, and retain top performers
• Strong understanding of usage-based, commit-based, and service-based revenue models
• A history of building and leveraging partner ecosystems
• Deep commitment to methodology-based sales coaching
• A disciplined operator with a reputation for accurate forecasting and execution excellence
• A truth-seeker who makes decisions based on data and adapts quickly as facts change
• Fluency in German and English is essential

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please click here.

XML job scraping automation by YubHub