Over the course of the project, you will support the planning, execution, and analysis of real-world test drives across more than 20 European countries. The experience includes exposure to cutting-edge vehicle prototypes, data acquisition systems, and advanced driver assistance technologies. You will gain hands-on experience in mobility research, road safety validation, and data-driven system analysis while contributing to a large-scale European deployment.

Interns will collaborate closely with the Data Science team to develop a deep understanding of how smart mobility solutions are evaluated and improved. This role is ideal for engineering or data science students with strong analytical skills, an interest in the automotive or mobility sectors, and a passion for innovative transportation technologies.

Responsibilities: Support the planning, execution, and analysis of real-world test drives across more than 20 European countries. Exposure to cutting-edge vehicle prototypes, data acquisition systems, and advanced driver assistance technologies. Gain hands-on experience in mobility research, road safety validation, and data-driven system analysis while contributing to a large-scale European deployment. Collaborate closely with the Data Science team to develop a deep understanding of how smart mobility solutions are evaluated and improved.

Profile: Academic background in engineering (Automotive, Mechanical, Aeronautical, etc.). Passion for automotive technology and willingness to travel across Europe for several months (approximately 2-3 months). Positive attitude, teamwork, proactive in the search for solutions and capacity for innovation Strong commitment and analytical skills. Ideal start date: within 1 month to 1-5 months. Duration: 5 to 6 months. English and Spanish languages required Driving license B

It is essential to confirm with the university in advance whether the collaboration agreement allows travel abroad during those months, to more than 20 European countries.

Applications that do not meet this requirement will not be accepted.

If you're ready to explore the roads of Europe and contribute to shaping safer, smarter mobility systems, this is the internship for you.

About AVL Iberica AVL Iberica is responsible for the Spanish, Mexican and Portuguese markets. It is formed by an international team that develops cutting-edge mobility technology in the fields of internal combustion engine, e-mobility, hydrogen, autonomous and connected driving, software and simulation, applied to all propulsion systems.

We are committed to deliver excellence in the development, simulation, testing and integration of propulsion systems, with all the experience of the AVL group in a local, personalized way and with a close technical service.

About AVL AVL is one of the world’s leading mobility technology companies for development, simulation and testing in the automotive industry, and beyond. We provide concepts, solutions and methodologies in fields like vehicle development and integration, e-mobility, automated and connected mobility (ADAS/AD), and software for a greener, safer, better world of mobility.

Find out more: www.avl.com

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Our team is responsible for designing, developing, testing, and releasing the characteristics of our future sports cars. We work on energy prediction, displaying the current remaining range, optimizing charging stops, and developing functions to increase the perceived range of our vehicles.

As a Werkstudent, you will have the opportunity to gain hands-on experience in a dynamic and innovative environment, working closely with experienced professionals and contributing to the development of cutting-edge technology.

We are looking for a highly motivated and talented individual with a strong background in data science, computer science, or a related field. You should have excellent programming skills, particularly in Python, and experience with data analysis and visualization tools such as MatLab/Simulink. Additionally, you should have a solid understanding of machine learning concepts and be able to apply them to real-world problems.

If you are passionate about data science, innovation, and the automotive industry, we encourage you to apply for this exciting opportunity.

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In addition, you will prepare several data-driven reports for internal and external decision-making, handle incoming quotations and invoices, and coordinate with Finance. You will also support digital transformation programs, including the adaptation of AI across the organisation, and prepare documentation, steering materials, and project updates.

The ideal candidate will have an undergraduate degree in Business, Marketing, Economics, Data Analytics, Information Systems, Data Science, or AI, and strong analytical and structured work approach. Proficiency in Excel is also required. You should have an interest in digital platforms, CRM, and customer experience, and be able to manage tasks independently and prioritise effectively.

As a team-oriented mindset with strong intercultural understanding, you will be fluent in written and spoken English and willing and keen to learn new tools, systems, and data-related skills.

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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.

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Your tasks will include:

• Leading a team of data scientists, AI engineers, and computer vision specialists in a technical and disciplinary manner
• Managing AI, computer vision, and physical AI projects and being responsible for their successful implementation - from use case to productive deployment
• Steering the operational project deployment of your team and ensuring high utilization and delivery quality
• Supporting architectural decisions and ensuring compliance with technical standards (AI engineering, MLOps, vision pipelines)
• Actively participating in presales, developing demos, and supporting technical solution designs
• Developing your team technically and disciplinarily and building targeted competences in the areas of ML and physical AI

To be successful in this role, you will need to have a strong background in data science, AI engineering, or machine learning, as well as leadership experience. You should also have a passion for implementing AI projects and a good understanding of technical solution designs.

In addition to your technical expertise, you should have excellent communication and leadership skills, as well as the ability to work in a fast-paced environment.

We offer a competitive salary and a range of benefits, including flexible working hours, a generous holiday allowance, and opportunities for professional development.

If you are interested in this opportunity, please submit your application, including your resume and cover letter, through our online portal.

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The successful candidate will serve as the primary bridge between Business Units, Global IT, and Control Tower Operations, ensuring shared understanding of data practices, workflows, and requirements. They will apply established standards for semantic modeling, domain alignment, concept reuse, and ontology lifecycle management.

Key responsibilities include:

• Supporting the implementation and ongoing maintenance of ontology enablement practices and operating model strategy to support AI, analytics, and digital initiatives across multiple Business Units
• Applying established standards for semantic modeling, domain alignment, concept reuse, and ontology lifecycle management
• Serving as the enterprise subject-matter authority for ontology-related topics, providing recommendations and guidance to governance and leadership forums
• Collaborating with Global IT and enterprise data architecture to ensure ontology practices align with enterprise data platforms and Control Tower operational processes

• Partnering with Business Units to understand domain concepts, terminology, operational data, and AI use cases, translating them into ontology-aligned data structures
• Guiding Business Units in contributing domain models, metadata, and data assets into the enterprise ontology using defined governance and intake processes
• Enabling repeatable onboarding of Business Unit data into AI initiatives, reducing reliance on ad-hoc IT engagement and minimizing duplicated effort

• Serving as a liaison between Business Units and Global IT for AI data and ontology-related matters
• Engaging with Global IT teams to understand enterprise data platforms, workflows, standards, and operational constraints
• Translating Global IT practices, requirements, and workflows into clear, actionable guidance for Business Unit data stewards

• Educating, guiding, and supporting Business Unit data stewards on their roles in data governance, ontology contribution, and AI data enablement
• Supporting the development and documentation of workflows, expectations, and operating models for how BU data stewards engage with the Control Tower and Global IT

• Ensuring Business Unit Data Stewards understand how to prepare, govern, and submit data assets for ontology integration and AI use
• Promoting consistent adoption of governance, quality, and semantic standards across Business Units

• Supporting integration of data and ontology enablement into Control Tower workflows
• Providing operational insight into data readiness, semantic risks, and governance gaps to inform Control Tower decision-making
• Identifying systemic issues and contributing recommendations to drive continuous improvement of data enablement processes

• Ensuring semantic integrity, data quality, lineage, and consistency are maintained as data assets flow into AI solutions
• Identifying systemic issues and recommending continuous improvement opportunities to Control Tower Operations leadership
• Influencing corrective actions, tooling investments, or governance updates to mitigate long-term risk

This role requires a minimum of 10 years of relevant work experience in data architecture, data governance, ontology development, semantic modeling, or related disciplines, supporting cross-functional initiatives spanning multiple business units and IT organizations.

The ideal candidate will have in-depth expertise in ontology design, semantic modeling, and domain-driven data architecture, as well as experience contributing to the development and implementation of data and ontology strategies. They will also have demonstrated experience serving as a bridge between business stakeholders and IT organizations, with a strong ability to translate technical platforms, workflows, and constraints into business-understandable guidance.

A Bachelor's level degree or diploma in Computer Science, Data Science/Engineering, Applied Mathematics/Statistics, Electronics/Electrical, Information Technology/Information Sciences, or a related field of study is required. A Master's or Ph.D. degree is preferred.

The successful candidate will be comfortable operating in ambiguous, evolving environments with enterprise-level impact, and will have a systems-thinking mindset with understanding of AI, analytics, and enterprise data platforms.

Highly desirable skills include proficiency in OWL (Web Ontology Language), RDF/RDFS – graph-based data model, storage in graph databases such as Neo4j or Amazon Neptune, and querying using SPARQL for RDF-based ontologies.

This is an onsite job based at our ADC, Raymond, OH office. One telecommuting workday per week may be possible with prior departmental approval.

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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)

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Our technology teams are looking for Software Engineers with C++, Python, or Java to design, implement, and maintain systems supporting our technology business functions.

Candidate is expected to:

• Work closely with technology teams to develop requirements and specifications for varying projects
• Take part in the development and enhancement of the backend distributed system
• Apply AI/ML (deep learning, natural language processing, large language models) to practical and comprehensive technology solutions

Qualifications/Skills Required:

• 2-5 years of experience working with C++, Python, or Java
• Experience with ML libraries, Pandas, NumPy, FastAPI (Python), Boost (C++), Spring Boot (Java)
• Must be comfortable working in both Unix/Linux and Windows environments
• Good understanding of various design patterns
• Strong analytical and mathematical skills along with an interest/ability to quickly learn additional languages and quantitative concepts
• Solid communication skills
• Able to work collaboratively in a fast-paced environment with a passion to solving complex problems
• Detail oriented, organized, demonstrating thoroughness and strong ownership of work

Desirable Skills/Knowledge:

• Bachelor or Master's degree in Computer Science, Applied Mathematics, Statistics, Data Science/ML/AI, or a related technical or engineering field
• Demonstrable passion for developing LLM-powered products whether that is through commercial experience or open source/academic projects you have worked on in your own time
• Hands-on experience building ML and data pipeline architectures
• Understanding of distributed messaging systems
• Experience with Docker/Kubernetes, microservices architecture in a cloud environment (AWS, GCP preferred)
• Experience with relational and non-relational database platforms

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This is the opportunity to start your career with a global leader committed to HealthForAll and HungerForNone. Bring your ideas, skills, and passion with you. Your career starts here.

Are you passionate about AI, data science, and behavioural insights? Join our Talent Impact team and apply your technical skills to projects that combine machine learning, generative AI, and behavioural science to improve how people work and develop. This internship offers hands-on experience in a supportive environment where you’ll learn, contribute, and make an impact.

Your tasks and educational objectives:

• Work with HR and behavioural data to create structured, analysis-ready datasets for people analytics.
• Support development and testing agentic AI workflows (including LLM-based tools) that support HR decision-making.
• Help to build and evaluate machine learning models to explore workforce trends, learning behaviours, and engagement.
• Together with team members, create dashboards and visualisations that turn complex data into actionable insights for HR and business partners.
• Apply modern data workflows using Databricks, GitHub Spaces, and cloud platforms (Azure or AWS).
• Collaborate with experienced mentors and participate in small experiments to measure impact and share findings.

Who you are:

• Python programming skills for data processing, modelling, and AI workflows.
• Hands-on experience with Generative AI (GenAI) or LLM-based systems (academic projects or internships count).
• Familiarity with cloud platforms (Azure or AWS), with a focus on Databricks and GitHub Spaces for collaborative development.
• Solid foundation in data science and machine learning.
• Strong interest in behavioural science, people analytics, and HR.
• Currently enrolled in a Master’s or advanced Bachelor’s program in data science, computer science, cognitive science, psychology, behavioural economics, neuroscience, or a related field.
• Curiosity, willingness to learn, and ability to work on-site in Leverkusen.
• Fluent English, written and spoken.

What we offer:

Our benefits package is flexible, appreciative, and tailored to your lifestyle, because what matters to you, matters to us!

• For a full-time position, you can expect an attractive salary of € 2,214 gross per month.
• Depending on the nature of your job, flexible work arrangements can be made in alignment with your manager.
• We support your growth through access to professional development and learning opportunities, such as LinkedIn Learning and our language learning platform Education First.
• As one of our perks, our Corporate Benefits program grants you access to sales discounts from more than 150 brands.
• We embrace diversity by providing an inclusive work environment in which you are welcomed, supported, and encouraged to bring your whole self to work.

Ever feel burnt out by bureaucracy? Us too. That’s why we’re changing the way we work, for higher productivity, faster innovation, and better results. We call it Dynamic Shared Ownership (DSO). Learn more about what DSO will mean for you in your new role here https://www.bayer.com/en/strategy/strategy

Our Mission & Strategy:

Through Dynamic Shared Ownership, we’re putting an end to the hierarchical model and putting more power in the hands of the innovators and creators at Bayer. Ready to join us? Apply now and start your 6-month learning journey in Leverkusen!

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Within the department, we’re building a new Marketing Analytics team and are looking for a Senior Data Scientist to drive its data science initiatives. In this role, you’ll work closely with Analysts, Engineers, and Marketing stakeholders to develop and productionize advanced machine learning, statistical, and predictive models that improve marketing performance and drive measurable company growth.

As a Senior Data Scientist – Marketing, you’ll take strong ownership of data science initiatives that directly shape our marketing strategy and growth. You will:

Partner closely with Marketing, Marketing Analytics, and Marketing Technology to identify opportunities and translate business questions into scalable data science solutions.

Lead the development of high-impact machine learning and statistical models for marketing use cases such as channel allocation, ad bidding, churn prediction, lifetime value, revenue attribution, and business metrics forecasting.

Work end-to-end - from translating business questions into hypotheses to researching, building, validating, and deploying models.

Run experiments and iterate in production: design A/B tests, monitor model performance, and continuously improve based on measured impact.

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

Help define the team's roadmap and ways of working as a founding member of Marketing Analytics - your input will help shape this function.

Act as a senior role model in the team, sharing best practices and helping raise the bar for data science at Holidu.

We're looking for someone with 5+ years of experience as a Data Scientist, with clear ownership of projects that delivered measurable business impact. You should have a degree in Machine Learning, Computer Science, Mathematics, Physics, or a related field, and strong expertise in machine learning, statistics, and predictive analytics, with hands-on experience using Python and SQL.

Experience with marketing data science use cases such as attribution modeling, customer lifetime value prediction, churn modeling, or bid optimization is also required. You should have a solid understanding of marketing concepts across channels (e.g. Performance Marketing, SEO, CRM, Affiliate) and how data science can improve them.

Additionally, you should have experience working with modern data stacks, ideally including AWS (Redshift, Athena, S3), Airflow, dbt, and Git. A collaborative mindset paired with great communication skills is essential, as you'll need to work with diverse stakeholders and explain complex topics in a simple way.

AI proficiency is also a plus, as you'll be comfortable using AI to enhance coding, planning, and monitoring, and successfully integrating AI tools (such as Claude code, Codex, Copilot, etc.) into your workflow and teaching others to use them efficiently.

If you're excited about the opportunity to shape the future of travel with products used by millions of guests and thousands of hosts, apply now!

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You'll work with modern tooling, a cross-functional team, and teammates who care deeply about impact, collaboration, and learning together.

As a Senior Software Engineer - Revenue Management, you'll be the engineering backbone that enables our Data Scientists to move from experimentation to production. You bridge the gap between data science models and reliable, scalable production systems.

Your key responsibilities will include:

• Supporting model deployment and serving: help deploy pricing and demand models into production, building and maintaining APIs and serving infrastructure.

• Building and operating production pipelines: ensure data flows reliably from source to model to output, with proper monitoring and alerting.

• Collaborating cross-functionally: work closely with Data Scientists, Analysts, and Engineering teams to turn prototypes into production-ready solutions.

• Owning infrastructure and tooling: set up and maintain the environments, CI/CD pipelines, and infrastructure that the team depends on.

• Ensuring operational excellence by implementing monitoring, automated testing, and observability across the team's production systems.

• Migrating and productionizing POC: turn experimental code into robust, maintainable Python applications.

• Ensuring data quality, consistency, and documentation across revenue management metrics and datasets.

You don't need to meet every requirement , we're looking for strong fundamentals, ownership, and the motivation to grow.

• 4+ years of experience in Software Engineering, Data Engineering, DevOps, or MLOps.

• Strong hands-on skills in Python , you write clean, production-quality code.

• Experience with CI/CD, Docker, and infrastructure-as-code (e.g., Terraform).

• Familiarity with cloud platforms (AWS preferred) and deploying services in production.

• Exposure to or interest in ML model deployment (MLflow, SageMaker, or similar) is a strong plus.

• Desire to learn and use cutting-edge LLM tools and agents to improve your and the entire team's productivity.

• A proactive, hands-on mindset: you take ownership, spot problems, and drive solutions forward.

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

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

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

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

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

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

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You'll work with a large and rich dataset, modern tooling, and teammates who care deeply about impact, collaboration, and learning together. This role is based in Munich with 3 office days per week.

As a Senior Data Scientist, you'll take ownership of complex pricing and forecasting models and help us turn analytical ideas into real-world impact for hosts and Holidu. You will:

• Translate business questions into scientific, testable models and clear recommendations.
• Design, build and own machine learning, forecasting and predictive models for revenue management topics such as demand forecasting, price sensitivity, and conversion probability.
• Explore and develop dynamic pricing strategies (e.g. weekend pricing, early discounts, regional similarities) using data and experimentation.
• Collaborate closely with Data Analysts and Data Engineers to define datasets, features, and model requirements.
• Drive discussions around model choice, assumptions, and trade-offs, always keeping business impact in mind.
• Monitor model performance, iterate on results, and continuously improve accuracy and relevance.
• Act as a senior sparring partner in the team, sharing knowledge and raising the bar for data science practices.

You'll have 5+ years of experience as a Data Scientist, solving a variety of different business problems. You'll have a strong background in statistics, forecasting, and machine learning. You'll be hands-on with Python and SQL, and confident working with large datasets. You'll have a strong interest in pricing, revenue optimization, or marketplace dynamics (prior revenue management experience is a plus, not a must).

You'll be a self-starter: proactive, hungry to learn, and eager to make an impact. You'll be able to communicate complex ideas clearly and collaborate with technical and non-technical partners.

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

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

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

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

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

Our Tech Stack

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

The Ranking challenge at Holidu

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

What's live today:

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

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

• Personalized recommendations based on user browsing patterns.

Some of the hard problems we're solving:

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

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

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

Your role in this journey

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

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

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

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

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

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

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

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

Your backpack is filled with

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

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

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

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

• Experience with Airflow and dbt is a plus.

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

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

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

Our adventure includes

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

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

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

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

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

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

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

Want to travel with us?

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

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This role offers a rare opportunity to make a meaningful impact at the intersection of AI and national security. You will help build Generative AI data-labeling pipelines from the ground up, create operational processes to manage and optimize an in-house expert data workforce, and develop novel technology-driven approaches (e.g., scripts, prompt engineering, hybrid data) to improve the quality of our training and evaluation datasets.

Responsibilities:

• Develop, build, and maintain the infrastructure required to ensure data pipelines are efficient, scalable, and produce high-quality outputs
• Take ownership of day-to-day progress on high-priority data production pipelines, ensuring projects move forward efficiently
• Partner with subject matter experts in their fields to validate the quality of our data and to translate deep domain knowledge into scalable processes and measurable outcomes
• Work closely with customers to understand their requirements and design data taxonomies that optimize model performance
• Utilize analytics and data visualization tools to track progress, identify bottlenecks, and make data-driven decisions to optimize pipeline performance
• Influence cross-org collaboration to define and advance human data strategy, influencing technical and non-technical stakeholders to ensure data quality, scalability, and long-term platform leverage
• Own larger and larger components of our data delivery processes, until you ultimately serve as the full owner of our most visible and high impact customer pipelines

You have:

• 5+ years of experience in product development, data science, or operations
• A history of successful project management and comfort in ambiguity
• Ability to analyze complex operational data, build queries, and identify trends to inform decisions and optimize processes
• Technical aptitude to understand how to produce data for state of the art post-training techniques such as supervised fine tuning (SFT), reinforcement learning through human feedback (RLHF), Reinforcement Learning with Verifiable Rewards (RLVR) etc

Nice to have:

• Experience working in defense tech and/or an AI company
• A technical degree in fields like computer science, data science, or engineering
• A deep understanding of ML operations for generative AI workflows / products
• An active Top Secret security clearance

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.

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.

The base salary range for this full-time position in the location of Washington DC is: $169,600-$212,000 USD

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This is not a traditional analytics role. On this team, data scientists do the core statistical and modeling work, but they also build real tools and products: evaluation explorers, operator workflows, decision-support systems, experimentation surfaces, and customer-specific AI/data applications that get used in production.

The right candidate is strong in first-principles problem solving, rigorous measurement, and technical execution. They know how to define metrics, design experiments, diagnose failures, and build systems that people actually use. They are also comfortable using modern AI-assisted development tools to prototype and iterate quickly without sacrificing reliability, observability, or judgment. Python and SQL matter in this role, but as execution fluency in service of building better products and making better decisions.

Responsibilities: Partner directly with enterprise customers to understand workflows, operational pain points, constraints, and success criteria Turn ambiguous business and product problems into measurable solutions with clear metrics, technical designs, and deployment plans Design and build internal and customer-facing data products, including evaluation tools, workflow applications, decision-support systems, and thin product layers on top of data/ML systems Build end-to-end solutions across data ingestion, transformation, experimentation, statistical modeling, deployment, monitoring, and iteration Design evaluation frameworks, benchmarks, and feedback loops for ML/LLM systems, human-in-the-loop workflows, and model-assisted operations Apply rigorous statistical thinking to experimentation, causal inference, metric design, forecasting, segmentation, diagnostics, and performance measurement Use AI-assisted development workflows to accelerate prototyping and product iteration, while maintaining strong engineering discipline Diagnose failure modes across data quality, model behavior, retrieval, workflow design, and user experience, and drive fixes into production Act as the voice of the customer to Product, Engineering, and Data Science, using field learnings to shape roadmap and platform capabilities

Requirements: 5+ years of experience in data science, machine learning, quantitative engineering, or another highly analytical technical role Proven track record of shipping data, ML, or AI systems that delivered measurable business or product impact Exceptional ability to structure ambiguous problems, define the right success metrics, and translate them into executable technical plans Strong foundation in statistics, experimentation, causal reasoning, and measurement Experience building tools or products, not just analyses , for example internal workflow tools, evaluation systems, operator-facing products, experimentation platforms, or customer-specific applications Hands-on fluency in Python, SQL, and modern data/AI tooling; able to inspect data, prototype quickly, debug deeply, and productionize solutions that work Comfort using AI-assisted coding and development workflows to move from idea to usable product quickly Strong communication and stakeholder management skills; able to work effectively with customers, engineers, product teams, and executives High ownership and bias toward shipping in fast-moving environments with incomplete information

Preferred qualifications: Experience in a forward deployed, solutions, consulting, or other client-facing technical role Experience designing evaluation frameworks for LLMs, retrieval systems, agentic workflows, or other AI-enabled products Experience with large-scale data processing and distributed systems such as Spark, Ray, or Airflow Experience with cloud infrastructure and modern data platforms such as AWS, GCP, Snowflake, or BigQuery Experience building lightweight applications, APIs, internal tools, or workflow software on top of data/ML systems Familiarity with marketplace experimentation, causal inference, forecasting, optimization, or advanced statistical modeling Strong product instinct and the judgment to know when the right answer is a model, an experiment, a tool, or a workflow redesign

What success looks like: Success in this role means taking a messy, high-stakes customer problem and turning it into a deployed system that is actually used. Sometimes that system is a model. Sometimes it is an evaluation framework. Sometimes it is an operator-facing tool or a lightweight data product that changes how decisions get made. In all cases, success is defined by measurable impact, rigorous evaluation, and reliable execution.

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.

Salary Range: $167,200-$209,000 USD

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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

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This is a Customer Programs Manager position within the Enterprise Marketing department at Anthropic. The successful candidate will establish and lead the Customer Programs function, responsible for engaging with strategic customers.

Responsibilities

• Build the Customer Programs function, defining the strategy, hiring the team, and establishing the operating model with PMM, Strategic Events, Solutions, ABM, and Sales leadership.
• Serve as the single accountable owner to the CCO and Sales leadership for Customer Advisory Boards and executive customer engagement.
• Own the governed strategic-account audience, maintaining a named list of executives and decision-makers across lighthouse accounts.
• Design and run the portfolio of high-touch customer programs, including CAB charter and membership, EBC intake and programming, early access customer selection and feedback loops, co-marketing fund deployment, and customer reference and speaker bench.
• Act as the voice of strategic customers inside Anthropic, bringing their priorities and feedback into Product, GTM, and leadership forums.
• Coordinate the asks made of top customers across the company to ensure intentional engagement.
• Own reporting on account coverage, engagement depth, and program-influenced expansion to Sales and Marketing leadership.

Requirements

• 10+ years in B2B enterprise marketing, customer marketing, or executive programs, including 4+ years leading a team.
• Built or significantly scaled an executive customer programs function at a high-growth enterprise technology company.
• Demonstrated executive presence with Fortune 500 C-suite and VP-level customers.
• Experience designing programs from an audience-first model.
• Strong cross-functional operating skills.
• Comfort owning a number.
• Clear written and verbal communication.

Salary

The annual compensation range for this role is $255,000-$320,000 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.
• Visa sponsorship: We do sponsor visas!

How to Apply

If you're interested in this role, please submit your application through our careers page.

What We Offer

At Anthropic, we believe that the highest-impact AI research will be big science. 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.

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You will strengthen our relationships with key partners to accelerate indirect revenue, enable their AI practices, and execute on long-term GTM strategy.

Responsibilities:

• Strategic Technical Partnership: Be a technical thought partner to the Anthropic GTM partnerships team, providing technical expertise to better understand the partner landscape, driving key strategic programs, and identifying opportunities to deepen partner technical capabilities. Embed with GSI and cloud partner technical teams to enable their AI practices, support troubleshooting, evangelize Anthropic in their developer communities, and serve as an escalation point for complex technical issues.

• Joint Solution Development: Collaborate with partners to identify high value industry-specific GenAI applications, develop joint solutions and codify reference architectures / best practices to accelerate time to deployment

• Customer Deal Support: Intervene directly to unblock strategic customer deals where partners are the primary delivery vehicle, providing deep technical expertise and solution architecture guidance.

• Partner Ecosystem & Events: Represent Anthropic at partner events such as GSI customer workshops, AWS summits, and industry conferences. Lead or support partner-specific developer events, hackathons, and technical enablement sessions, especially for technically native communities.

Product Feedback: Validate and gather feedback on Anthropic's products and offerings, especially as they relate to partner use cases and deployment patterns, and deliver this feedback to relevant Anthropic teams to inform product roadmap and partner strategy.

You may be a good fit if you have:

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

• Track record of successfully partnering with GSIs and/or cloud providers to solve complex technical challenges, from initial solution design through customer delivery

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

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

• Experience designing scalable cloud architectures and integrating with enterprise systems

• 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

• 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

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

With teams in Denver, San Francisco, and New York, we support more than 400,000 small businesses nationwide and are building a workplace that reflects the people we serve. All full-time employees receive competitive base pay, benefits, and equity (RSUs) , because everyone who helps build Gusto should share in its success. Offer amounts are determined by role, level, and location. Learn more about our Total Rewards philosophy.

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

About the Role

As the Principal Engineer for the Contractors team, you will play a pivotal role in shaping the future of Gusto’s flagship Payroll product,one of the core pillars of our platform. You will design, build, and scale the capabilities that power essential experiences for our customers. Working collaboratively with product managers, designers, and other engineers, you will deliver impactful features that meet customer needs and elevate user experiences.

As a Gusto Engineer at this level, you’ll guide projects end-to-end,shaping initial feature specifications, driving architectural decisions to bring systems closer to their desired end states, executing on complex initiatives, and maintaining code that powers mission-critical functionality. Beyond technical contributions, you’ll help define and contribute to the broader strategy of how Gusto continues to build and scale its Payroll product.

If you’re excited about solving complex, high-impact problems and want to contribute to a product that touches the lives of millions, we’d love to have you on board!

About the Team

Payroll serves as Gusto's core product, used by each of our 500,000+ customers and contributing significantly to our annual recurring revenue of over $800,000,000. Although we hold the leading market position for SMBs in the US, the market remains highly fragmented, with an estimated 90% still in need of a superior solution. The Contractors team empowers businesses to onboard and pay contractors in 120+ countries with ease and speed. This includes critical functionalities such as payroll setup, preparation, and submission, historical reporting, time tracking, and shift scheduling.

As a key member of this team, you’ll have the opportunity to make a profound impact on both the product and the customers who depend on it daily.

Here’s what you’ll do day-to-day:

• Architect, build, and maintain scalable, secure, and resilient backend systems to support Gusto’s Payroll products.

• Function as a Technical Lead across multiple teams in Pay Group, helping us keep engineers unblocked and deliver high-quality work supporting our long-term goals.

• Help scale one of the largest Ruby/Rails and TypeScript/React applications in the world.

• Collaborate on complex and ambiguous problems with partnerships from Engineering, Product Management, Design, Data Science, Compliance, Operations, and other cross-functional teams.

• Mentor and grow fellow engineers working to create holistic and scalable solutions.

• Drive the product development process from concept to launch, delivering delightful products that make payroll, taxes, and compliance simple and easy.

• Engage in a highly supportive environment working with others to drive productivity and innovation.

Here’s what we're looking for:

• 15+ years of professional software development experience.

• Experience as a tech lead, overseeing and successfully delivering projects that span multiple teams.

• Enthusiasm for a collaborative, test-driven development environment.

• Proven experience building and maintaining resilient backend systems that support customer-facing products, including optimizing existing systems for performance, reliability, and scalability.

• Ability to produce maintainable, structured, and well-documented code.

• Expertise in developing and maintaining RESTful APIs, GraphQL endpoints, and backend services, ensuring seamless integration with frontend systems and third-party services.

• Demonstrated ability in scaling engineering organizations, with a strong focus on individual and team development and mentorship.

• Experience in highly cross-functional environments working on highly complex products.

• Ability to clearly communicate technical complexity and facilitate informed trade-offs among stakeholders.

• Experience using AI tools to build, test, and iterate on products quickly.

• Understanding of how to evaluate AI-driven outputs using clear success criteria.

• A commitment to staying current on emerging backend technologies and AI frameworks and patterns, regularly experimenting with new approaches.

• Willingness to contribute to shared tools or templates that enhance the speed and safety of AI experimentation.

Our cash compensation amount for this role is targeted at $251,000-$309,000 /yr for New York. Final offer amounts are determined by multiple factors, including candidate experience and expertise, and may vary from the amounts listed above.

Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role). The same office expectations apply to all Symmetry roles, Gusto's subsidiary, whose physical office is in Scottsdale. Note: The San Francisco office expectations encompass both the San Francisco and San Jose metro areas. When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required. This includes non-office days for hybrid employees.

Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto.

Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic.

Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures.

We want to see our candidates perform to the best of their ability. If you require a medical or religious accommodation at any time throughout your candidate journey, please fill out this form and a member of our team will get in touch with you.

Gusto takes security and protection of your personal information very seriously. Please review our Fraudulent Activity Disclaimer. Personal information collected and processed as part of your Gusto application will be subject to Gusto's Applicant Privacy Notice.

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For example, you might do any or all of the following:

• Design and build harnesses to test AI models and systems (including agents) for dangerous capabilities such as security vulnerability exploitation, CBRN uplift, and other high-risk activities;

• Work with government agencies or other labs to collectively scope and design evaluations to measure and mitigate risks posed by advanced AI systems;

• Publish evaluation methodologies and write technical reports for policymakers.

We are seeking talented researchers to join us in shaping this vision.

Ideally you'd have:

• Commitment to our mission of promoting safe, secure, and trustworthy AI deployments in the industry as frontier AI capabilities continue to advance;

• Practical experience conducting technical research collaboratively. You should be comfortable building and instrumenting ML pipelines, writing evaluation harnesses, and quickly turning new ideas from the research literature into working prototypes;

• A track record of published research in machine learning, particularly in generative AI;

• At least three years of experience addressing sophisticated ML problems, whether in a research setting or in product development;

• Strong written and verbal communication skills to operate in a cross-functional team.

Nice to have:

• Experience in crafting evaluations and benchmarks, or a background in data science roles related to LLM technologies;

• Experience with red-teaming or adversarial testing of AI systems;

• Familiarity with AI safety policy frameworks (e.g., NIST AI RMF, EU AI Act, Korea AI Basic Act).

Our research interviews are crafted to assess candidates' skills in practical ML prototyping and debugging, their grasp of research concepts, and their alignment with our organisational culture. We will not ask any LeetCode-style questions. If you’re excited about advancing AI safety and contributing to our mission, we encourage you to apply, even if your experience doesn’t perfectly align with every requirement.

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.

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We're looking for someone with a strong technical background in big data analytics, who can operate as a trusted advisor to our customers. You will be responsible for developing successful relationships with clients, providing technical and business value, and scaling best practices in your field.

As a Solutions Architect, you will:

• Form successful relationships with clients throughout your assigned territory
• Operate as an expert in big data analytics to excite customers about Databricks
• Develop into a 'champion' and trusted advisor on multiple issues of architecture, design, and implementation
• Scale best practices in your field and support customers by authoring reference architectures, how-tos, and demo applications
• Grow your knowledge and expertise to the level of a technical and/or industry specialist

To succeed in this role, you will need:

• Experience with coding in a core programming language (i.e., Python, Java, Scala)
• A base level in Spark
• A builder mindset with a passion for quick prototyping and experience in vibe coding
• Proficient with Big Data Analytics technologies, including hands-on expertise with complex proofs-of-concept and public cloud platform(s)
• Experienced in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences
• Joy in drilling deeper on tough technical questions and solution architecture while always keeping the big picture in mind

Fluency in German is a strong advantage, but not required.

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 visit our website.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards.

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

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

We're hiring a Staff Product Designer for our Benefits team to design and launch a new product offering at Gusto. Our focus in Benefits is simple: help small businesses and their employees get access to better quality care at more affordable rates,in other words, we make benefits work harder for small businesses.

Benefits is a notoriously complex space, full of confusing choices, high stakes, and fragmented experiences across employers, employees, carriers, and brokers. In this role, you’ll partner closely with Product Managers, Engineers, Data Science, CX, Operations, and Sales to turn that complexity into experiences that feel clear, human, and trustworthy,from end-to-end journeys to the underlying systems that power them.

This is an opportunity to shape a new part of Gusto’s Benefits offering and deliver meaningful, tangible impact for small businesses and the people who rely on them.

Responsibilities

• Lead 0→1 discovery and design for a new Benefits product offering,from problem framing to MVP definition,grounded in real employer + employee workflows.

• Design end-to-end service experiences across employer, employee, and internal ops workflows,identifying where AI can reduce complexity while keeping decisions clear and controllable.

• Design AI-assisted decision moments that help customers choose and act with confidence.

• Design the system that makes AI safe and scalable: define objects, rules, states, and exception paths plus guardrails for when AI should defer to humans.

• Make data legible and operational: shape the information model and UX so humans and AI can collaborate,clean inputs, clear outputs, and structured handoffs that reduce errors and rework.

• Build product feedback loops that improve AI quality over time: define success metrics, evaluation signals, and human-in-the-loop review patterns to continuously tune guidance, routing, and automation.

• Design in code to ship faster: use AI-assisted dev tools (e.g., Cursor, Claude Code) to prototype and deliver production-quality UI, collaborating tightly with engineering and shaping reusable patterns.

Requirements

• You partner cross-functionally to define human-in-the-loop workflows, and set principles for fairness, privacy, and trust.

• You design with AI as a core material,prototyping, refining prompts, and integrating AI behaviors that adapt responsibly to user context. You guide teams in balancing automation with transparency and control.

• You redesign service blueprints where AI plays an active role,automating routine workflows, predicting needs, and escalating complex cases to humans with transparency and context.

• You define area strategy using measurable bets and experimentation; partner with Analytics and AI teams to track and evaluate impact.

• You scale quality through reusable patterns, thoughtful critique, and mentorship; balance exploration with delivery.

• You influence cross-functional strategy across teams; resolve complex trade-offs and guide design through ambiguity.

• You coach across teams, build onboarding and training programs, and raise the bar for craft and systems thinking.

Benefits

At Gusto, we strive to provide rewards that empower employees to achieve their financial and personal goals. We offer competitive compensation packages with a strong emphasis on equity-based compensation (ownership in Gusto).

Our cash compensation range for this role is $146,000/yr to $183,000/yr in Denver & most remote locations, and $177,000/yr to $222,000/yr in San Francisco, Seattle & New York. Final offer amounts are determined by multiple factors, including candidate experience and expertise, and may vary from the amounts listed above.

Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role). The same office expectations apply to all Symmetry roles, Gusto's subsidiary, whose physical office is in Scottsdale. Note: The San Francisco office expectations encompass both the San Francisco and San Jose metro areas.

When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required. This includes non-office days for hybrid employees.

Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto.

Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic.

Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures.

We want to see our candidates perform to the best of their ability. If you require a medical or religious accommodation at any time throughout your candidate journey, please fill out this form and a member of our team will get in touch with you.

Gusto takes security and protection of your personal information very seriously. Please review our Fraudulent Activity Disclaimer. Personal information collected and processed

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Leading the technical sales team, you will partner with Sales (and other Field Engineering technical segments) to increase revenue and help customers become wildly successful. You'll scale and maintain an outstanding Field Engineering team that operates efficiently to help accelerate Databricks' market growth.

The Impact You Will Have:

• Alongside the sales Director, you will set the vision and strategy for how this team will accelerate transformative outcomes for the FSIs and DIBs customers
• You will hire, train, lead, and grow the Solutions Architect team for a company in high-growth mode
• Help your customers achieve exceptional success with Databricks and deliver substantial value to their businesses
• You will maintain a robust hiring pipeline at all times
• Establish relationships across the business to make your customers and team successful
• Keep your team of SAs ahead of the technical curve

An SA adds value by maintaining advanced knowledge of the technology stack. You will make sure that your team is continuously learning and working to provide our customers with the most comprehensive solutions for their needs

What We Look For:

• Proven experience building and leading technical pre-or post-sales teams
• 5+ years of experience in the data space with a technical product (i.e., data warehousing, big data, machine learning, or more recently with generative AI)
• Alternatively, 5+ years of experience in mission-focused space impacting DIB or FSI from a technology perspective
• Trusted advisor to technical executives that guide strategic data infrastructure decisions
• Lead a team through best practices for technical qualification, technical validations, architecture discussions, and product demonstrations
• Strategic mindset focused on driving customer outcomes in an accelerated fashion
• Experience hiring candidates that continually raise the bar, ramping them up to be successful, and promoting into larger roles
• Create a positive morale for the team and help foster a working relationship between Field Engineering, Sales, and other important internal cross-functional teams
• Experience working cross-functionally with other teams such as Sales, Product Management, Engineering, and Customer Success
• Technical and business skills to earn the trust of Engineering talent and leadership at Databricks
• Demonstrated architectural influence. Able to influence and review complex architectures; guiding your team and customers towards ideal solutions

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. Local Pay Range $192,100-$264,175 USD

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Reporting to the Field Engineering Manager, you will collaborate with strategic customers, product teams, and the broader customer-facing team to develop architectures and solutions using our platform and APIs.

You will guide customers through the competitive landscape, best practices, and implementation; and develop technical champions along the way.

We are looking for high technical aptitude individuals with a deep sense of ownership and a desire to help customers ship solutions at production scale.

Ideal candidates are deeply curious, capable of operating with confidence in ambiguous situations, and are extremely adaptable.

The impact you will have:

• Partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems.

• Drive technical discovery and solution design, focusing on winning competitive deals and accelerating time-to-value in strategic accounts.

• Continuously research & learn new technologies and their implementations on Databricks.

• Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science, and machine learning, and SQL analysis workflows.

• As well as validating integrations with cloud services, home-grown tools, and other 3rd party applications.

• Collaborate with your fellow Solutions Architects, using your skills to support each other and our customers.

• Become an expert in, promote, and recruit contributors for Databricks-inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community.

• Work closely with account executives to create and execute account penetration strategies, focusing on winning technical decision-makers and building new customer champions.

• Build trusted advisor relationships with senior and executive stakeholders by articulating the business value of Databricks in clear, outcomes-driven terms.

What we look for:

• 5+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role.

• Experience building distributed data systems.

• Comfortable programming in, and debugging, Python and SQL.

• Have built solutions with public cloud providers such as AWS, Azure, or GCP.

• Expertise in one of the following:

• Data Engineering technologies (Ex: Spark, Hadoop, Kafka)

• Data Science and Machine Learning technologies (Ex: pandas, scikit-learn, pytorch, Tensorflow)

• Strong executive presence with the ability to influence C/VP-level stakeholders and align technical solutions to strategic business priorities.

• Available to travel to customers in your region.

• [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research).

• Nice to have: Databricks Certification.

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You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business 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 both the Claude API and Claude for Work

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 occasionally 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:

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

Experience working with enterprise customers, 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

Comfortable 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

Please note this role requires 3 days in office per week.

Deadline to apply: None. Applications will be reviewed on a rolling basis.

The annual compensation range for this role is listed below.

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

Annual Salary: $240,000-$315,000 USD

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You’ll define the long-term data science roadmap while partnering closely with Okta’s diverse Product Management teams and executive leadership.

Responsibilities

• Collaborate closely with Product Managers and leadership to provide insights that will help drive product strategy and roadmaps, ensuring decisions are grounded in a data-driven approach.
• Build and deploy statistical and machine learning models (e.g., predicting churn, lifetime value, feature adoption) to forecast user behavior and product growth opportunities in order to help influence roadmap decisions.
• Conduct thorough exploratory analysis on extensive, complex datasets to uncover key drivers of user adoption and engagement, identifying unseen opportunities for significant product improvement.
• Work with data engineering, analytics engineering, and data analysts to shape and enhance the foundational data infrastructure necessary for scalable ML and advanced analytics initiatives.
• Develop and construct usable data sets by integrating and manipulating information from various disparate data sources as needed.
• Translate intricate data insights into clear, compelling narratives for executives, product managers, and engineers, effectively influencing crucial business and product decisions.

Requirements

• 7+ years of experience in data science or ML, including 3–5 years in a senior, staff, or technical leadership role.
• Deep understanding of product analytics and data science frameworks, with a proven history of designing and analyzing product data to solve complex, ambiguous business problems and deliver measurable results.
• Demonstrated ability to apply cutting-edge AI tools to accelerate the discovery of deep, actionable insights from complex product data.
• Demonstrated ability to translate data insights into product impact and formulate strategic, data-driven recommendations.
• Deep expertise in machine learning algorithms (supervised, unsupervised, NLP, forecasting, optimization) and statistical modeling.
• Strong proficiency in Python, SQL, and leading ML libraries.
• Excellent communication skills and a proven ability to influence Product and executive partners.

Nice to Have

• Experience in high-growth SaaS, cybersecurity, identity, or enterprise software environments.
• Prior ownership of ML platform/tooling decisions and evaluations.
• Experience enabling self-service analytics or citizen data science capabilities.

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You will form successful relationships with clients throughout Vietnam, providing technical and business value to Databricks customers in collaboration with Account Executives. You will operate as an expert in big data analytics, developing 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.

Your responsibilities will include:

• Developing customer relationships and building internal partnerships with account executives and teams
• Engaging customers in technical sales, challenging their questions, guiding clear outcomes, and communicating technical and value propositions
• Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Spark
• Proficient with Big Data Analytics technologies, including hands-on expertise with complex proofs-of-concept and public cloud platform(s)
• Experienced 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
• Proficiency in the Vietnamese language is required as this role serves clients based in Vietnam and involves direct customer communications in the Vietnamese language

In return, 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 organization.

If you're passionate about working with data and AI, and want to make a real impact, we encourage you to apply for this exciting opportunity.

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You will help our customers to achieve tangible data-driven outcomes through the use of our Databricks Lakehouse Platform, helping data teams complete projects and integrate our platform into their enterprise Ecosystem.

The impact you will have:

• You will be a Big Data Analytics expert on aspects of architecture and design
• Lead your clients through evaluating and adopting Databricks including hands-on Apache Spark programming and integration with the wider cloud ecosystem
• Support your customers by authoring reference architectures, how-tos, and demo applications
• Integrate Databricks with 3rd-party applications to support customer architectures
• Engage with the technical community by leading workshops, seminars and meet-ups

Together with your Account Executive, you will form successful relationships with clients throughout your assigned territory to provide technical and business value

What we look for:

• Strong consulting / customer facing experience, working with external clients across a variety of industry markets
• Core strength in either data engineering or data science technologies
• 8+ years of experience demonstrating technical concepts, including demos, presenting and white-boarding
• 8+ years of experience designing architectures within a public cloud (AWS, Azure or GCP)
• 6+ years of experience with Big Data technologies, including Apache Spark, AI, Data Science, Data Engineering, Hadoop, Cassandra, and others
• Coding experience in Python, R, Java, Apache Spark or Scala

About Databricks

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

Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

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

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards.

Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

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

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As a Product Manager at Scale, you will sit at the intersection of these two sides, shaping the systems, tooling, and experiences that make this marketplace work at unprecedented quality and scale.

You will work with dedicated engineering, design, and data science teams, as well as operations, finance, growth, and customer-facing stakeholders. The problems are technically complex, the pace is fast, and the impact is measurable.

Whether you are on the demand side (shaping the products customers use to create and evaluate training data) or the supply side (building the systems that power our global contributor marketplace), you will own your product area end-to-end , from strategy to execution to instrumentation.

Scale is a growth-stage company with the resources of a well-funded leader and the urgency of a startup. PMs here operate with significant autonomy, ship frequently, and are expected to be deeply analytical and hands-on.

Responsibilities

• Set the product strategy and roadmap for your area, grounded in customer needs, data analysis, and business impact

• Develop and execute a data-driven product roadmap through close collaboration with senior leadership, engineering, operations, data science, analytics, and design

• Translate customer and internal-user needs into clear, well-defined functional and technical requirements backed by data analysis and deep understanding of your users

• Guide and interface closely with engineering and data teams to define scope, review and refine technical capabilities, prioritize projects for release, and identify new opportunities

• Build long-term instrumentation, monitoring, and evaluation capabilities for product performance tracking and insight generation

• Establish business cases and projected return on investment to identify and prioritize opportunities

• Partner with finance and business leaders to manage impact on the profitability and growth of the overall business

• Communicate product vision, strategy, and progress to executive stakeholders and cross-functional partners

Ideal Candidate

• 4–10 years of experience in Product Management in the tech industry, with scope appropriate to level (L4: 4–6 yrs, L5: 6–8 yrs, L6: 8–10+ yrs)

• Strong business acumen and analytical rigor, with demonstrated success driving products in ambiguous, high-growth environments

• Experience translating complex technical systems into clear product strategies , comfort engaging deeply with engineering and data science teams

• Excellent communication and stakeholder management skills, capable of influencing across technical and non-technical audiences

• Experience building products from the ground up and iterating through the scaling journey of a business

• Bachelor’s or advanced degree in a quantitative, engineering, or related discipline

Compensation

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.

The base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:

$205,600-$257,000 USD

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You will guide and get involved to enhance your team's effectiveness; be an expert at communicating complex, business value-focused solutions; support complex sales cycles; and build relationships with key stakeholders in your customers' companies.

Key responsibilities include:

• Managing hiring, building the pre-sales team of Solutions Architects
• Rapidly scaling the designated Field Engineering segment organisation without sacrificing quality
• Building a collaborative culture within a rapid-growth team

To embody and promote Databricks' customer-obsessed, teamwork, and diverse culture

• Supporting increase Return on investment of SA involvement in sales cycles by 2-3x over 18 months
• Promoting a solution and value-based selling field-engineering organisation
• Displaying an understanding of business needs and revenue potential for accounts in the assigned region
• Building Databricks' brand in partnership with the Marketing and Sales team

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As a Project Manager Intern specializing in Process & AI Innovation within the Marketing team, you will be pivotal in boosting our operational efficiency. This is a dynamic opportunity to apply project management principles and emerging AI technologies to streamline internal processes across the Go-To-Market organization.

Responsibilities Project and Administrative Support: Provide administrative and project management support, including coordinating activities, tracking milestones, and assisting with team deliverables, documentation, and reporting (meeting notes, project reports, etc.). Operational Playbook and Wiki: Assist in mapping, analyzing, and documenting existing partner processes (AE, PAM, etc.) to create clear visual playbooks and internal wikis. AI Strategy and Automation: Support the research, classification, and prioritization of AI use cases for Marketing, including defining the AI operating model and helping to automate manual, repetitive tasks using 'No-Code' platforms and AI tools. Tech Stack Analysis & Collaboration: Contribute to efforts to build a unified tech stack, assisting with 'build vs. buy' evaluations for new tools. You will also collaborate with IT and engineering to prototype and validate AI solutions. Recommendations: Help synthesize findings and data into clear, measurable recommendations that align with sales motions and business outcomes.

Skills & Qualifications

• Currently pursuing a degree in Business, Project Management, Operations, Data Science, or a related field.
• Available for a full-time 12-week internship, working from our Austin or San Francisco office 3-5 days a week during the summer (May-Aug).
• Business Strategy or Tech-focused student with a strong interest in AI/Automation, process improvement, program management, and technology exploration.
• Strong organizational, communication, and analytical skills with the ability to manage multiple tasks and translate ideas into structured documentation.
• A natural problem-solver who enjoys mapping out a process (using tools like Lucidchart or Miro) and thinking about how to make it simpler and faster.

Compensation Estimated hourly pay of $24/hour.

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Your impact will be significant, as you will be the main technical voice for Databricks, leading your customers on a transformational journey to evaluate and adopt Databricks as part of their strategy. You will implement the technical strategy in the account, in close understanding of the strategy, and build a movement of technical champions within the account.

Responsibilities include:

• Establishing virtual customer collaboration and leading them to ultimate success within the account
• Working multiple accounts simultaneously
• Forming relationships with executives and influencers
• Presenting a convincing point-of-view to important decision-makers that leads them down a path of success
• Being technical in big data, data science, and cloud
• Driving data-driven business transformation and change with data

Nice to have: Databricks and Cloud Provider Certifications

Benefits: Comprehensive benefits and perks that meet the needs of all employees, including those in your region.

Our Commitment to Diversity and Inclusion: We foster a diverse and inclusive culture where everyone can excel, and our hiring practices are inclusive and meet equal employment opportunity standards.

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You will work closely with the Account Executive to develop and execute a technical strategy that aligns with the customer's goals and objectives. You will also work with a team of engineers to build proofs of concept and demonstrate our products.

The ideal candidate will have a strong background in value selling, technical account management, and technical leadership. They will also have a solid understanding of big data, data science, and cloud technologies.

Responsibilities:

• Define and direct the technical strategy for our largest and most important accounts
• Work closely with the Account Executive to develop and execute a technical strategy that aligns with the customer's goals and objectives
• Collaborate with a team of engineers to build proofs of concept and demonstrate our products
• Provide technical guidance and support to customers
• Work with customers to identify and address technical issues

Requirements:

• 5+ years of experience working with large enterprises in the Retail and CPG space
• 3+ years of experience in a pre-sales capacity or supporting sales activity
• Strong background in value selling, technical account management, and technical leadership
• Solid understanding of big data, data science, and cloud technologies
• Experience with design and implementation of big data technologies such as Hadoop, NoSQL, MPP, OLTP, and OLAP
• Production programming experience in Python, R, Scala, or Java

Nice to have:

• Databricks Certification

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As a Research Scientist/Engineer focused on honesty within the Finetuning Alignment team, you'll spearhead the development of techniques to minimize hallucinations and enhance truthfulness in language models.

Your work will focus on creating robust systems that are accurate and reflect their true levels of confidence across all domains, and that work to avoid being deceptive or misleading.

Your work will be critical for ensuring our models maintain high standards of accuracy and honesty across diverse domains.

Responsibilities

• Design and implement novel data curation pipelines to identify, verify, and filter training data for accuracy given the model’s knowledge

• Develop specialized classifiers to detect potential hallucinations or miscalibrated claims made by the model

• Create and maintain comprehensive honesty benchmarks and evaluation frameworks

• Implement techniques to ground model outputs in verified information, such as search and retrieval-augmented generation (RAG) systems

• Design and deploy human feedback collection specifically for identifying and correcting miscalibrated responses

• Design and implement prompting pipelines to generate data that improves model accuracy and honesty

• Develop and test novel RL environments that reward truthful outputs and penalize fabricated claims

• Create tools to help human evaluators efficiently assess model outputs for accuracy

Requirements

• Have an MS/PhD in Computer Science, ML, or related field

• Possess strong programming skills in Python

• Have industry experience with language model finetuning and classifier training

• Show proficiency in experimental design and statistical analysis for measuring improvements in calibration and accuracy

• Care about AI safety and the accuracy and honesty of both current and future AI systems

• Have experience in data science or the creation and curation of datasets for finetuning LLMs

• An understanding of various metrics of uncertainty, calibration, and truthfulness in model outputs

Preferred qualifications

• Published work on hallucination prevention, factual grounding, or knowledge integration in language models

• Experience with fact-grounding techniques

• Background in developing confidence estimation or calibration methods for ML models

• A track record of creating and maintaining factual knowledge bases

• Familiarity with RLHF specifically applied to improving model truthfulness

• Worked with crowd-sourcing platforms and human feedback collection systems

• Experience developing evaluations of model accuracy or hallucinations

Benefits

• Competitive compensation and benefits

• Optional equity donation matching

• Generous vacation and parental leave

• Flexible working hours

• Lovely office space in which to collaborate with colleagues

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.

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We are seeking a seasoned leader to join our Field Engineering team as a Sr. Manager, Field Engineering - Financial Services. As a key member of our team, you will be responsible for leading a team of Solutions Architects for the Financial Services segment of Databricks' Regulated Industries Field Engineering team.

Responsibilities:

• Lead and promote a diverse team focusing on enterprise software, big data/analytics, data engineering, data science, data warehousing, and generative AI.
• Partner with Sales (and other Field Engineering technical segments) to increase revenue and help customers achieve success through Databricks' Data Intelligence Platform.
• Scale and maintain an outstanding Field Engineering team that is efficient in its operations to help accelerate Databricks' growth in the market.

The Impact You Will Have:

• Hire, train, and grow a team of Solutions Architects for a company in high-growth mode.
• Make your customers extremely successful with Databricks and provide outsized value to their businesses.
• Maintain a robust hiring pipeline of highly qualified, bar-raising candidates.
• Establish relationships across the business to make your customers and team successful.
• Keep your team of SAs ahead of the technical curve by ensuring they maintain advanced knowledge of the Databricks technology stack.
• Ensure that your team is continuously learning and working to provide our customers with the most comprehensive solutions for their needs.

What We Look For:

• Proven experience building and leading technical pre-sales teams.
• 10+ years of experience in the data space with a technical product (i.e., data warehousing, big data, machine learning, or more recently with generative AI).
• Trusted advisor to technical executives that guide strategic data infrastructure decisions.
• Strong understanding of consumption-driven business models and the recipes for long-term growth and success.
• Experience hiring candidates that continually raise the bar, ramping them up to be successful, and promoting into larger roles.

Pay Range Transparency:

Databricks is committed to fair and equitable compensation practices. The pay range for this role is $192,100-$264,175 USD.

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, please click here.

Our Commitment to Diversity and Inclusion:

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards.

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Our team is responsible for demonstrating the value of our platform to customers and providing them with the necessary expertise to succeed. We are looking for someone who is passionate about data and has a strong technical background in software engineering.

In this role, you will have the opportunity to work with a variety of customers across different industries and geographies. You will also have the chance to contribute to the development of our technical community engagement initiatives, including customer-facing collateral and workshops.

We offer a competitive salary and benefits package, as well as opportunities for professional growth and development. If you are a motivated and experienced software engineer looking for a new challenge, we encourage you to apply.

Responsibilities:

• Develop customer engagement strategies in partnership with Account Executive(s) in your designated territory.
• Coach junior Solutions Architects and teams on use case prioritization and building technical champions.
• Influence stakeholders at all levels through complex engagements with the wider cloud ecosystem and 3rd party applications, ensuring they are excited by the Databricks vision and solution strategy.
• Be a 'champion’ for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Data Intelligence Platform.
• Contribute to Databricks' technical community engagement by developing customer-facing collateral and leading workshops, seminars, and meet-ups.

Requirements:

• Know how to engage in complex customer interactions and sales lifecycle in a technical pre-sales capacity.
• Ability to influence decision-makers and C-level executives by developing relationships and orchestrating teams to achieve long-term customer success.
• Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Spark.
• Hands-on expertise with complex proofs-of-concept and public cloud platform(s).
• Know how to provide technical solutions for specialized customer needs and navigate a competitive landscape.

Benefits:

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

We are an equal opportunities employer and welcome applications from all qualified candidates.

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You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data.

RSAs are billable and know how to complete projects according to specification with excellent customer service.

You will report to the regional Manager/Lead.

The impact you will have:

• Work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases
• Work with engagement managers to scope variety of professional services work with input from the customer
• Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
• Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
• Provide an escalated level of support for customer operational issues.
• Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.
• Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.

What we look for:

• 6+ years experience in data engineering, data platforms & analytics
• Comfortable writing code in either Python or Scala
• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
• Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals
• Familiarity with CI/CD for production deployments
• Working knowledge of MLOps
• Design and deployment of performant end-to-end data architectures
• Experience with technical project delivery - managing scope and timelines.
• Documentation and white-boarding skills.
• Experience working with clients and managing conflicts.
• Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects.
• Travel to customers 20% of the time

Databricks Certification

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 base 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 anticipated 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 $180,656-$248,360 USD

Zone 2 Pay Range $180,656-$248,360 USD

Zone 3 Pay Range $180,656-$248,360 USD

Zone 4 Pay Range $180,656-$248,360 USD

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Training on natural and experimentally-derived data is a core aspect of how our AI models learn to generate therapeutic molecules with exceptional properties. We invest deeply in building and scaling data sources to train and evaluate our models for maximal performance. At the same time, careful validation in orthogonal, translationally-relevant assays is crucial to orient our models.

We are seeking a senior scientific leader versed in high-throughput and translational biology to drive the continued growth and impact of our Palo Alto Lab. You will be a force multiplier for our scientists and engineers, ensuring a high standard of scientific rigor and output in a fast-paced, dynamic environment. You will also interface closely with our AI team to maximize the impact of internal data on Inceptive’s foundation models.

Your Mission, should you choose to accept it - Lead development and scale-up of high-throughput assays across in vitro, cellular, and in vivo systems, leveraging multiplexed assays and laboratory automation - Define and execute a lab strategy aligned with Inceptive’s therapeutic and platform priorities, while remaining flexible as modality and partnership needs evolve - Champion an interdisciplinary culture, encouraging curiosity, rigor, and collaboration across scientific boundaries - Manage, mentor, and develop a multidisciplinary team of scientists and engineers that rapidly generates high-impact biological data to improve and validate AI design models - Oversee the development of industry-standard validation assays to keep models and data generation aligned with downstream therapeutic application

Qualifications - PhD and 6+ years of post-PhD experience in industrial research applied to drug development - Experience managing and mentoring a data-driven lab of 10+ scientists - Experience using high-throughput and/or highly multiplexed assays to generate rich datasets from mammalian cells - Proven ability to set scientific direction while also executing operationally - Deep understanding of theory, techniques, and experimental design in molecular and cellular biology - Visualization, analysis, and statistics applied to complex biological datasets - Availability to work with team members across US and Europe, with meetings starting at 7am PT - Readiness to travel several times a year for company retreats and business events - We value in-person collaboration and expect candidates to work at our lab location

Preferred skills - Translational experience with mRNA, oligonucleotides, or other genetic medicines - Expertise in immunology and/or cell therapy - Hands-on experience in RNA biology and biochemistry - Scientific programming in Python - Hands-on experience with modern data engineering workflows

Compensation $245K – $305K + Bonus + Equity

What we offer - A competitive compensation package - 30 days paid vacation per year - Comprehensive health insurance for US based Beginners - 401K with company match for US based Beginners and Direktversicherung for German Beginners - Quarterly company-wide retreats - Monthly wellness benefit - Budget for multiple visits per year to our offices in Berlin, Palo Alto or Switzerland - Learning & Development budget to attend conferences, take courses, or otherwise invest in your professional growth, as well as access to the Learning & Development platform EdX and Hone - A buddy to help you get settled *Varies by country and does not apply to internships

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You are passionate about data and AI, love getting hands-on with technology, and enjoy communicating its value to both technical and non-technical stakeholders. Partnering closely with Account Executives, you will lead the technical discovery, architecture design, and proof-of-concept phases, and act as a trusted advisor to our customers on their data and AI strategy.

You will help customers realize tangible, data-driven outcomes on the Databricks Lakehouse Platform by guiding data and AI teams to design, build, and operationalize solutions within their enterprise ecosystem.

Responsibilities:

• Be a Big Data Analytics expert on aspects of architecture and design
• Lead your prospects through evaluating and adopting Databricks
• Support your customers by authoring reference architectures, how-tos, and demo applications
• Integrate Databricks with 3rd-party applications to support customer architectures
• Engage with the technical community by leading workshops, seminars, and meet-ups

What we look for:

• Pre-sales or post-sales experience working with external clients across a variety of industry markets
• Understanding of customer-facing pre-sales or consulting role with a core strength in either Data Engineering or Data Science advantageous
• Experience demonstrating technical concepts, including presenting and whiteboarding
• Experience designing and implementing architectures within public clouds (AWS, Azure, or GCP)
• Experience with Big Data technologies, including Apache Spark, AI, Data Science, Data Engineering, Hadoop, Cassandra, and others
• Fluent coding experience in Python or Scala implementing Apache Spark, Java, and R is also desirable
• Experience working with Enterprise Accounts
• Written and verbal fluency in Japanese

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.

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We are seeking a highly experienced Manager, Field Engineering to lead a team of Solutions Architects for our Field Engineering team in Latam. As a Manager, Field Engineering, you will be responsible for leading and promoting a dynamic team focusing on enterprise software, big data/analytics, data engineering, data science, data warehousing, and generative AI.

Key Responsibilities:

• Lead and promote a dynamic team of Solutions Architects
• Partner with Sales and other Field Engineering technical segments to increase revenue and help customers become wildly successful
• Scale and maintain an outstanding Field Engineering team that is efficient in its operations to help accelerate Databricks' growth in the market

The Impact You Will Have:

• Hire, train, and grow a team of Solutions Architects for a company in high-growth mode
• Make your customers extremely successful with Databricks and provide outsized value to their businesses
• Maintain a robust hiring pipeline at all times
• Establish relationships across the business to make your customers and team successful
• Keep your team of SAs ahead of the technical curve

What We Look For:

• Proven experience building and leading technical pre-or post-sales teams
• 10+ years of experience in the data space with a technical product
• Trusted advisor to technical executives that guide strategic data infrastructure decisions
• Strong understanding of consumption-driven business models and the recipes for long-term growth and success
• Experience hiring candidates that continually raise the bar, ramping them up to be successful, and promoting into larger roles

About Databricks:

Databricks is the data and AI company. More than 10,000 organizations worldwide rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics, and AI.

Benefits:

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, click here.

Our Commitment to Diversity and Inclusion:

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards.

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Your work will set the default methods for how we answer questions like:

• Did this actually cause the outcome we care about?
• How sure are we, and what should we do given that uncertainty?
• What evidence is strong enough to change strategy, policies, or spend?

A major objective of this role is to build and institutionalize a clear map of “what we know” about patients, providers, and payers, with explicit confidence levels that tie directly to business action.

Responsibilities:

• Own causal inference and experimentation standards across Headway.
• Define the canonical approaches, guardrails, documentation, and review mechanisms for experiments and quasi-experiments, including when and how to use Bayesian methods.
• Build the confidence ladder for company knowledge.
• Create a clear, shared framework that maps findings to levels of confidence (for example 1–10), where lower levels reflect correlation and early directional evidence, mid levels reflect increasingly credible causal inference, and the highest levels reflect stable, repeatable, decision-grade truths.
• Operationalize it so it shows up in artifacts teams actually use: PRDs, launch reviews, growth planning, quarterly business reviews, and postmortems.
• Design the learning strategy for our hardest questions.
• Lead the approach for ambiguous, high impact domains like provider activation and retention, payer economics and policies, patient conversion and engagement, and marketplace dynamics.
• Recommend the right combination of randomized experiments, stepped rollouts, geo tests, natural experiments, and observational designs.
• Raise the organization’s statistical maturity.
• Introduce and standardize Bayesian experimentation practices where it improves speed and decision quality (priors, posterior interpretation, sequential decision rules, credible intervals, expected value framing).
• Build training, playbooks, and reusable tooling.
• Be the escalation point for difficult measurement problems.
• Tackle issues like interference and spillovers, network effects, selection bias, noncompliance, measurement error, multiple comparisons, seasonality, and Simpson’s paradox showing up in real life and causing confusion.
• Partner with Data Platform and Engineering to make rigor scalable.
• Ensure experimentation and inference are supported by instrumentation, logging, metric definitions, semantic layers, and monitoring.
• Help define the minimal foundations required for trustworthy learning.
• Build a culture of clear claims.
• Establish norms for separating facts, estimates, assumptions, and uncertainties.
• Make it easy for teams to say “we do not know yet” without losing momentum, and easy for leaders to understand what is safe to act on.
• Mentor and set the bar.
• Coach other data scientists and analytics leaders.
• Create review standards for causal work,
• Support hiring for methodological depth,
• Represent Headway’s measurement philosophy internally and externally when appropriate.

Requirements:

• 12+ years of experience applying causal inference, experimentation, and advanced statistics to real-world product, growth, or operational decisions (or equivalent depth demonstrated through scope and outcomes).
• Deep expertise in causal inference across randomized and observational settings, including practical strategy for when clean experiments are not possible.
• Deep expertise in Bayesian methods for experimentation and decision-making, and strong judgment about when Bayesian approaches outperform frequentist defaults and when they do not.
• Strong SQL and strong proficiency in Python or R, including building reusable analysis tools and improving team workflows.
• Track record of setting org-wide standards that materially improved decision quality and execution velocity.
• Executive-level communication and influence: you can drive alignment across Product, Growth, Ops, Finance, and Engineering.
• Comfort operating in ambiguity, and the ability to turn it into crisp frameworks, clear recommendations, and measurable outcomes.
• Motivation for our mission: improving access and affordability in mental healthcare.

Nice to have:

• Experience in marketplaces, healthcare, insurance, or other regulated and complex incentive systems.
• Experience with experimentation under interference and network effects.
• Experience building experimentation platforms, analysis libraries, or statistical tooling used broadly across an organization.
• Familiarity with causal graphs, uplift modeling, and decision theory framing (expected value, value of information).

Compensation and Benefits: The expected base pay range for this position is $249,600 - $312,000, based on a variety of factors including qualifications, experience, and geographic location. In addition to base salary, this role may be eligible for an equity grant, depending on the position and level. We are committed to offering a comprehensive and competitive total rewards package, including robust health and wellness benefits, retirement savings, and meaningful ownership opportunities through equity.

• Benefits offered include:
• Equity compensation
• Medical, Dental, and Vision coverage
• HSA / FSA
• 401K
• Work-from-Home Stipend
• Therapy Reimbursement
• 16-week parental leave for eligible employees
• Carrot Fertility annual reimbursement and membership
• 13 paid holidays each year as well as a Holiday Break during the week between December 25th and December 31st
• Flexible PTO
• Employee Assistance Program (EAP)
• Training and professional development

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You will help our customers to achieve tangible data-driven outcomes through the use of our Databricks Lakehouse Platform, helping data teams complete projects and integrate our platform into their enterprise Ecosystem.

The impact you will have:

• You will be a Big Data Analytics expert on aspects of architecture and design
• Lead your clients through evaluating and adopting Databricks including hands-on Apache Spark programming and integration with the wider cloud ecosystem
• Support your customers by authoring reference architectures, how-tos, and demo applications
• Integrate Databricks with 3rd-party applications to support customer architectures
• Engage with the technical community by leading workshops, seminars and meet-ups

Together with your Account Executive, you will form successful relationships with clients throughout your assigned territory to provide technical and business value

What we look for:

• Strong consulting / customer facing experience, working with external clients across a variety of industry markets
• Core strength in either data engineering or data science technologies
• 8+ years of experience demonstrating technical concepts, including demos, presenting and white-boarding
• 8+ years of experience designing architectures within a public cloud (AWS, Azure or GCP)
• 6+ years of experience with Big Data technologies, including Apache Spark, AI, Data Science, Data Engineering, Hadoop, Cassandra, and others
• Coding experience in Python, R, Java, Apache Spark or Scala

About Databricks

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

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards.

Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

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

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Your North Star: Build innovative, data-driven products that enhance patient engagement and retention to improve the lives of moms and babies.

We're looking to bring on an experienced Senior Data Scientist to own the data strategy for our Growth and Patient Experience team. In this role, you will hold a dual focus: optimizing the top-of-funnel strategy to grow patient enrollment, and driving the development of next-generation products that keep those patients engaged throughout their care journey.

Responsibilities

• Become an expert in patient behavior, engagement patterns, and retention drivers, owning the team’s data science roadmap and playing a foundational role in shaping Pomelo's patient experience strategy
• Collaborate deeply with the Marketing team to build and optimize a multi-channel enrollment strategy. You will build attribution models, analyze funnel conversion rates, and identify the best ways to allocate resources towards patient enrollment.
• Define and iterate on key metrics that define the health of the business, such as enrollment and retention rates, and present insights to Pomelo’s leadership team
• Complete exploratory analyses to inform development of enrollment and engagement-focused features, such as conversation topic categorization and patient journey segmentations
• Build robust data pipelines and analytics infrastructure that connect external, marketing and product usage data, creating a unified view of the patient journey.
• Lead the team’s approach to A/B testing across marketing and product initiatives to accurately measure impact
• Collaborate closely with Product, Clinical, and Engineering teams to translate patient insights into actionable product improvements and new feature development

Requirements

• 4+ years professional experience in data science, product analytics, or data engineering
• 1+ years professional experience working in healthcare, consumer health, or high-touch consumer products
• Expert proficiency in both SQL and Python, with demonstrated ability to work across the full data stack
• Strong product sense with experience in product prototyping, A/B testing, and user behavior analysis
• Passionate about improving maternal health outcomes and creating exceptional patient experiences
• Proven track record of scoping and implementing data-driven product solutions to complex, ambiguous problems
• Comfortable leading cross-functional initiatives with Product, Engineering, and Clinical teams as a strategic partner and technical expert
• A strong communicator and a keen nose for value - someone who can easily and quickly understand the needs of different audiences
• Experience with data visualization and dashboarding tools (e.g., Looker, Tableau, Metabase)
• Experience working with modern data stack tools (e.g., dbt, Airflow, Snowflake)

Bonus Points

• Experience with AI model development including fine-tuning, prompt engineering, model evaluation and building production AI applications
• Background in healthcare AI, clinical decision support, or medical NLP

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As a Staff Data Scientist, Marketing Analytics, you will be the senior analytical and strategic leader who makes marketing performance legible, credible, and actionable. You will partner closely with Growth Marketing leadership and channel owners across paid, lifecycle, and organic, plus Finance, Product, and Engineering.

Your job is to help Headway answer the questions that matter:

• What is truly incremental?

• Where should we invest next?

• What is driving performance shifts?

• How do we scale what works without fooling ourselves?

You will build the frameworks, analyses, and modeling approaches that enable the marketing team to move faster with confidence. This is high-stakes decision support for a growth engine that needs to compound and certainly not a dashboard-only role or “just attribution” role.

Responsibilities:

• Own incrementality measurement across channels. Design and analyze geo tests, holdouts, lift tests, and quasi-experimental approaches when randomized tests are not feasible. Define clear guardrails, decision rules, and what “good” looks like.

• Build a marketing measurement system that leaders trust. Define canonical metrics (CAC, LTV, payback, conversion, retention, capacity-adjusted ROI), ensure definitions are consistent, and create a clear measurement narrative that aligns Marketing, Finance, and Product.

• Turn ambiguity into a plan. When performance changes, you will diagnose why, quantify contributing drivers, and recommend concrete actions. You will be the person who can say, “Here’s what moved, here’s why we believe it moved, and here’s what we do next.”

• Develop and evolve modeling approaches where they create leverage. Build practical models such as LTV and retention forecasting, cohort value prediction, causal uplift models for lifecycle, and marketing mix modeling when appropriate. Focus on models that survive contact with reality: calibration, backtesting, and decision usefulness.

• Partner with Engineering on the measurement plumbing. Improve event instrumentation, identity resolution assumptions, offline conversion integration, and data quality monitoring so measurement is robust. Advocate for minimal, decision-critical requirements that unlock reliable learning.

• Design learning loops that scale. Create repeatable experimentation and analysis templates for channel and creative testing, including measurement of message by audience by surface. Increase testing velocity without lowering the truth standard.

• Influence strategy, not just reporting. Bring an evidence-based point of view on channel allocation, growth constraints, saturation, diminishing returns, and the tradeoffs between short-term acquisition and long-term retention and care outcomes.

• Uplevel the team. Mentor analysts and data scientists working on growth, set quality standards, and help establish best practices across experimentation, causal inference, and forecasting.

What will make you successful:

• 10+ years using data science, analytics, and experimentation to drive decisions in marketing, growth, or marketplace environments (or equivalent scope and demonstrated impact).

• Deep expertise in causal inference and incrementality in real-world marketing systems: you know the failure modes (selection bias, channel cannibalization, platform noise, attribution myths) and how to design around them.

• Strong SQL plus strong proficiency in Python or R, with the ability to build reliable, reusable analytical workflows.

• Practical modeling skill, especially as applied to marketing and growth: cohorting, forecasting, LTV estimation, saturation and diminishing returns, MMM concepts, calibration and monitoring.

• Track record of influencing executive decisions with clear recommendations and measurable outcomes, not just analysis.

• Excellent communication: you can make complex measurement logic understandable and defensible to non-technical partners, and you can call out uncertainty without losing momentum.

• High ownership and strong judgment: you prioritize what changes decisions, you move quickly, and you know when to slow down because the risk is real.

• You are motivated by the mission. Access and affordability in mental healthcare are not abstract problems here.

Nice to have:

• Experience with geo experiments, marketplace constraints, or capacity-aware marketing optimization.

• Experience measuring acquisition quality beyond conversion: downstream engagement, retention, clinical matching quality, and unit economics.

• Familiarity with lifecycle marketing measurement (incrementality, uplift, experimentation design for messaging).

• Experience partnering with Finance on budget allocation, payback, and scenario planning.

• Comfort working with imperfect identity, privacy constraints, and evolving attribution ecosystems.

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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.

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The AI SDK team is pushing to keep Temporal at the forefront of AI applications. Because the landscape is constantly changing, we engage heavily in prototyping to ensure that the abstractions we develop meet the needs of emerging applications. We also ensure that Temporal integrates well with leading AI frameworks and libraries.

As a Staff Software Engineer, you will:

• Work as a Software Engineer.
• Design and implement Temporal AI SDK features supporting a broad variety of frameworks and libraries.
• Develop a deep understanding of AI application development techniques, including emerging approaches and architectures.
• Work with multiple programming languages, primarily Python and TypeScript.
• Make extensive use of AI coding tools, especially to ensure quality across a large number of integrations.
• Take end-to-end ownership of new features, working with other teams to deliver exceptional reliability and a great developer experience.
• Serve as a domain expert on AI design patterns, collaborating with field staff to provide best-practices and canonical examples.
• Work directly with our developer community to debug issues that need expert attention, and get feedback on Temporal SDK features and APIs.
• Write public technical documentation describing Temporal concepts and APIs.
• Go the extra mile to support a customer in need, on the rare occasion that AI SDK engineering expertise is needed.
• Travel to meet your coworkers for a week once or twice a year.
• Attend the occasional developer conference to talk about how great Temporal is (optional).

You won't:

• Work as a Data Scientist, Data Analyst, Devops SWE, or SRE.
• Work in an office (unless you want to, but you'd be by yourself). Temporal is a fully-remote company.
• Commit code that's poorly-tested or works 'most of the time'. Temporal aspires to be 'Reliable as Gravity', and we expect our code to be the same.
• Work behind closed doors. The SDKs are open source,that means PRs and comments are open to the public, too.
• Sit in meetings all day. We mostly communicate in writing, and use meetings mainly for status updates and thorny issues that need input from the whole group.
• Wake up to pager alerts. We're extremely active in supporting our customers and the community, but we don't do 24/7 on-call.

You'll bring:

• Experience and passion for harnessing generative AI, particularly for agents and coding.
• A deep understanding of how to use AI to increase quality, not only to increase quantity.
• A sense of taste in code and software development practice. Your approach should be opinionated and thoughtful, but not dogmatic.
• A track record of open source software contributions, including contributions to 3rd party libraries.
• Fluency in multiple programming languages, and an affinity for learning new ones.
• Deep experience with concurrent programming,you should know how to use mutexes, atomics, and other concurrency primitives safely.
• Experience designing APIs and writing documentation for publicly-available libraries or modules.
• Strong technical communication skills,written and verbal,in English.
• BS or MS in Computer Science (or a closely-related degree), or equivalent work experience writing production-grade software.

Nice to have:

• Familiarity with Temporal's programming model (e.g. you've written an app on Temporal).
• Expedite building agents or other AI applications
• Background in machine learning, model training, data science, or machine learning systems.
• Experience contributing to the architecture and design of large-scale distributed systems.
• Graduate degree in Computer Science.

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marimo is a reinvention of the Python notebook , it feels like a next-gen reactive Python notebook, but is stored as pure Python that can be versioned with Git, deployed as a data app, run as a script, and reused as a module.

As a senior developer relations engineer on marimo's growth team, you will:

Work smart (and hard) to find high-leverage, scalable, and measurable ways to grow usage, ranging from growth-related software engineering to content creation

Serving as a technical bridge between Marimo and our users, maintaining relationships with key champions and community members

Organize and regularly attend events in the SF Bay Area (and around the US when needed)

Build and nurture relationships with partner open-source projects and DevRel teams to co-create content, integrations, and joint community initiatives

This role is only open for candidates in San Francisco.

Who You Are:

2+ years of experience in software engineering

2+ years of experience in developer relations and growth

Proficiency in Python, with strong fundamentals that are language agnostic

Technical background in AI, ML, and data science

Strong communication skills, written and verbal, with a proven track record

Preferred:

Experience with AI coding models

Experience with growing open-source communities

Experience with Python notebooks

Experience with developer tools

A relentless focus on data-driven methods and efficiency

The base salary range for this role is $165,000 to $242,000.

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This includes ensuring that platform admins have intuitive controls for managing access and compliance, maintaining a secure and trustworthy environment for their data and AI operations, and providing clear, actionable insights into platform health and usage.

The impact you will have:

• Help design best-in-class monitoring and governance experiences at scale.
• Design unique interactions that will help administrators understand vast amounts of telemetry data.
• Explore new ways in which Generative AI can enhance the platform experience and developer workflows.
• Develop a deep understanding of Databricks business objectives, the cloud and big data space, its users, and competition.
• Conduct user research to identify customer needs and pain points related to data science and platform usage.

We are looking for a Senior Product Designer with 5+ years of experience in product design work, a bachelor's degree or equivalent, and a strong portfolio showcasing the end-to-end design process.

Key responsibilities include leading large and complex design projects, balancing the needs of diverse stakeholders, and executing beautiful visual and interaction work that's rooted in a data-driven and well-researched UX process.

Nice-to-have skills include experience in data visualization, analytics dashboards, or designing interfaces for complex data monitoring, as well as coding skills in React, SQL, CSS, and/or Python.

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Key responsibilities include:

• Growing a team of Partner Solutions Architects for a company in high-growth mode
• Ensuring partners have a comprehensive technical point of view to establish the lakehouse architecture across a wide array of their customers
• Identifying valuable business-impacting offers and guiding the adoption of the Databricks platform into partner solutions
• Establishing partners as trusted advisors by having strong capability and Databricks practices
• Building a collaborative culture within a hyper-growth team to embody and ensure Databricks' company values

Requirements include:

• 8+ years experience in senior pre-sales or post-sales roles, where you have assisted in the development of a successful team of professionals in Big Data, Cloud, or SaaS
• Player/Coach capability, comfortable both leading or contributing to work on projects, with partners on our joint customers
• Knowledgeable in and passionate about data-driven decisions, AI, and Cloud software models
• Great at instituting processes for technical field members to promote efficiency
• Bachelor's Degree in STEM subject, or MSc desirable
• Technical background either in Data Engineering / Database technologies or Data Science

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You will combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business 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 across India 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 across India 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 both the Claude API and Claude for Work

• Create and deliver compelling technical content tailored to different audiences across India. 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 across India 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 occasionally 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:

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

• Experience working with enterprise customers, 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

• Comfortable 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

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 collaborate with colleagues.

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As a Senior Software Engineer, Financial Platform, you will work with your squad to build the financial systems and integrations that underpin Discord's existing business lines, and enable new revenue streams across Android, iOS, and Web. You will run revenue operations side by side with our finance and accounting teams, collaborate with business development to forge strategic partnerships, and partner with CX, Data Science, and feature teams across the company to evolve Discord's payments and payouts platforms.

Key responsibilities include:

• Building financial systems and integrations that underpin Discord's existing business lines and enable new revenue streams
• Running revenue operations side by side with our finance and accounting teams
• Collaborating with business development to forge strategic partnerships
• Partnering with CX, Data Science, and feature teams across the company to evolve Discord's payments and payouts platforms

The ideal candidate will have 5+ years of software engineering experience, deep expertise in backend development (Python), and working knowledge of frontend technologies (React, TypeScript).

We offer a competitive salary range of $196k to $220k, plus equity and benefits. Relocation assistance may be available.

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You will lean upon your solid background in value selling, technical account management and technical leadership to maximise success in these accounts. While you work with a team that includes hands-on resources who will build proofs of concept and demonstrate Databricks' products, you need to be technical and must understand the relevance and application of ML & AI within a range of use cases important to the target accounts in the Healthcare & Life Sciences (HLS) space.

The impact you will have:

• You work with multiple clients as the main technical voice for Databricks.
• You lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy.
• You implement the technical strategy in the account, in close understanding of the strategy.
• You build a movement of technical champions within the account.
• You align technical strategies around Databricks solutions.
• You provide structured mentorship for other team members.
• Gain the respect of your peers based on your experience, insight, and contributions.

What we look for:

• Proficiency at establishing virtual teams, and leading them to ultimate success within the account.
• Experience working very large (> $1m ARR), global accounts.
• Form relationships with executives and influencers.
• Present a convincing point-of-view to important decision-makers that leads them down a path of success.
• Technical in big data, data science and cloud.
• An ability in data-driven business transformation, and driving change with data.
• Programming experience in Python, SQL or Scala.
• Can travel up to 35% when needed.
• Bachelor Degree in computer science or related field.

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Key Responsibilities:

• Serve as a technical lead on 8-10 multiple strategic opportunities, directly influencing the deal cycles and accelerating revenue growth.
• Become the definitive subject matter expert on Komodo's comprehensive suite of healthcare data assets and platform capabilities.
• Garner subject matter expertise and ownership of a segment within the Partnerships / Channel Partnerships organization.
• Develop scalable technical frameworks, demo environments, and reusable assets that have set new organizational standards with a heavy emphasis on agentic AI workflows.
• Drive cross-functional initiatives by partnering with Product, Data Science, and Engineering to deliver customized, innovative solutions.

Requirements:

• 7+ years of experience in Sales Engineering or Solutions Engineering with a focus on healthcare data and healthcare technology.
• Proven track record of understanding and leveraging AI tools to enhance SaaS products or improve operational workflows.
• Expertise in healthcare data (e.g., 837/835 transactions, NDC codes) and its practical applications in analytics, reporting, and decision-making.
• Strong technical skills, including experience with APIs, data integration, cloud-based architectures (e.g., AWS, Azure), and analyzing large datasets.
• An understanding and proficiency of data science techniques, specifically SQL, Python, and/or R.
• Excellent communication and presentation skills, with the ability to train partners and translate complex technical concepts for diverse stakeholders.

Preferred Skills:

• Experience working within the provider, payer, or financial service segments.
• Technical certifications in AWS, Azure, or data platforms.
• Experience with CRM platforms like Salesforce for managing partner and client interactions.
• Familiarity with data visualization tools (e.g., Tableau, Looker) to create impactful partner training materials.
• Knowledge of identity resolution and privacy-preserving linking technologies.
• Prior experience developing joint business plans and co-sell strategies with channel partners.

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The impact you will have:

• You will work on a variety of impactful customer technical big data projects which may include building reference architectures, how-to's, and production-grade MVPs.
• Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build, and deployment of industry-leading big data and AI applications.
• Consult on architecture and design; bootstrap or implement strategic customer projects which lead to a customer's successful understanding, evaluation, and adoption of Databricks.
• Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement-specific product and support issues.

What we look for:

• 10+ years of experience with Big Data Technologies such as Apache Spark, Kafka, Cloud Native, and Data Lakes in a customer-facing post-sales, technical architecture, or consulting role.
• 4+ years of people management experience, managing a team of Data Engineers, Data Architects, etc.
• 6+ years of experience working on Big Data Architectures independently.
• Experience working across Cloud Platforms (GCP/AWS/Azure).
• Experience working on Databricks platform is a plus.
• Documentation and white-boarding skills.
• Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects.
• Willingness to travel for onsite customer engagements within India.

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

We protect and accelerate any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks.

About the Internship Program

As a Business Operations intern on the Finance BizOps Team, you will:

• Build workflows to streamline existing processes and address existing pain points. You will lead the project scoping, solution design and code execution to achieve the defined objectives.
• Design, build, and support data or insight solutions that help incubate new data capabilities or programs. Example projects: commission forecast modelling, product margin analysis
• Create applications and internal tools that can be used by the broader FP&A and BizOps team to elevate everyone's game
• Prototype leveraging latest AI technologies incl. Cloudflare Platform, emerging best practices to illustrate what can be possible in how we work
• Work in sprints to achieve critical milestones and update your progress through daily asynchronous updates.

Requirements

• Currently pursuing a Bachelor's or Master's or program in Business Analytics, Data Science, Computer Science, or a related field.
• Passionate about solving business problems or challenges using technology
• Are curious, proactive, and self-directed, have a natural drive to explore new technologies and a 'figure it out' mindset.
• Can write working code in Python, JavaScript, or a similar language and have shipped something independently or as part of hackathon project, open source contribution, or a previous internship
• Communication: Ability to distill complex business or technical requirements into clear actionable insights. Can explain what you built and why, to a technical or non-technical audience.
• Technical Curiosity: Experience using LLM interfaces (such as Gemini) and prompt engineering, paired with a strong interest in the emerging field of AI agents.
• Nice to have: Have used any part of the Cloudflare developer platform: Workers, R2, Pages, or anything similar.
• Ability to commit to a minimum 12 week summer internship from May to August 2026.
• In office 2-3 days a week

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You will join a team of top-tier data scientists and become an integral part of the product organisation, helping to scale this new business.

Joining on the ground floor of this startup team, you'll partner directly with the Head of Data Science and Product, Engineering and Design leadership to shape the product roadmap, foster a top-tier, data-informed culture, and drive real AI/ML impact and execution along the way!

Responsibilities

• Manage and scale a high performing team of data scientists

• Coach and mentor data scientists of varying experiences to ensure their continued growth

• Plan, execute, and deliver a portfolio of mission-critical data science projects for Dash Experience, and provide technical leadership in a fast-paced environment

• Leverage data-driven insights to proactively identify most impactful opportunities, and directly influence product roadmaps and strategies

• Translate complex data insights into implications and recommendations for the business via excellent communication skills, both verbal and written

• Work with cross-functional teams (including Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate

• Partner with Product Engineers and Data Engineers to build the reliable, efficient, and scalable data foundations, tools, and processes to drive our AI/ML capabilities' long-term growth

• Identify what matters most and prioritise ruthlessly

Requirements

• Bachelor's or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field

• 10+ years experience of leveraging data-driven analysis to influence product roadmap and business decision, preferably in a tech company

• 3+ years of experience directly managing data scientists or product analysts

• Proven track record of managing a portfolio of Data Science projects that improve user experience and drive measurable business impact

• Deep understanding of statistical analysis, experimentation design, and common analytical techniques

• Experience using data to inform product and business decisions that led to measurable outcomes

• Exceptional verbal and written communication skills

Preferred Qualifications

• Experience in startups or building 0→1 products

• Expertise in using data to inform AI/ML product development

• Background in SaaS product

Compensation

Canada Pay Range $187,900-$254,100 CAD

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You'll be the connective tissue between Marketing, Product, Engineering, and Sales, ensuring that every touchpoint from first page view to sales handoff is optimized for conversion and user quality. This is a high-leverage, metrics-driven role.

You'll set the strategy for how prospects discover Flexport, experience our products and technology for the first time, and convert into high-value leads that Sales can close. You'll own the growth marketing roadmap, run rigorous experimentation, and partner deeply with Marketing on acquisition and with Product and Engineering on the self-serve experience.

Responsibilities

Website as a Growth Product

• Own Flexport.com as Flexport’s highest-leverage growth channel to define the product vision, roadmap, and KPIs for the marketing website.
• Drive SEO and AEO strategy, information architecture, and content performance to increase organic traffic and domain authority.
• Lead conversion rate optimization across landing pages, product pages, and CTAs through structured experimentation (A/B tests, multivariate tests, holdout groups).

Self-Serve Flow & Product-Led Growth

• Own the end-to-end self-serve funnel from first visit through signup, onboarding, activation, and handoff to Sales.
• Define and instrument key growth metrics (visitor-to-signup, signup-to-activation, activation-to-MQL, MQL-to-SQL) and build dashboards that make funnel health visible across the organization.
• Identify and activate product-led growth levers: trial flows, in-platform conversion moments, guided onboarding, and expansion signals.

Marketing and Product Bridge

• Serve as the primary product partner between the Marketing team translating campaign objectives into product requirements and vice versa.
• Collaborate with Marketing and Sales Ops on lead scoring models, nurture logic, and segmentation strategies to ensure product signals feed into accurate lead qualification.
• Align product releases and platform capabilities with go-to-market motions so that new features translate into pipeline.

AI & Growth Innovation

• Leverage AI tools and workflows to accelerate experimentation, personalization, audience targeting, and performance analysis.
• Use AI to rapidly prototype and launch landing pages, microsites, interactive tools, and campaign automations without waiting on engineering resources.

Analytics & Experimentation

• Build and maintain growth dashboards that track traffic, funnel conversion, channel attribution, campaign ROI, and lead quality.
• Own the marketing experimentation program and define hypothesis backlogs, prioritize tests by expected impact, run experiments with statistical rigor, and scale winners.

Requirements

• Product management experience, with significant depth in growth, conversion, or product-led growth at a high-growth B2B technology company.
• Strong preference for former tech founders or early-stage operators who have owned the full end-to-end go-to-market for a B2B product from building the website to closing the first customers.
• Proven track record of driving measurable improvements in web traffic, signup conversion, activation rates, or pipeline generation.
• Deep understanding of enterprise B2B buying motions - complex, long sales cycles, buying committees, and what it takes to generate leads that Sales actually wants to work.
• Experience in logistics, supply chain, or enterprise SaaS is a strong plus.
• A power user of AI in your product workflow; you actively use tools like Claude Code, Codex, OpenClaw, or similar to accelerate prototyping, analysis, and experimentation.
• Bonus if you’ve used vibe coding or low-code AI tools to build landing pages, internal tools, or automations yourself.
• Fluent in web analytics, attribution modeling, and experimentation tooling (e.g. Google Analytics, Amplitude, Optimizely, LaunchDarkly). Comfortable writing SQL and building dashboards.
• Experience with marketing automation and CRM systems (Salesforce, HubSpot, Marketo) and a working understanding of how product signals feed lead scoring and sales workflows.
• Strong product craft , you write clear PRDs, define sharp success metrics, and ship iteratively. You know how to scope ruthlessly and say no to the right things.
• Excellent cross-functional communication. You can present strategy and results to the CEO, align Engineering on technical trade-offs, and partner back with your marketing team.
• A bias toward action and experimentation - you ship fast, learn fast, and iterate. You’re energized by ambiguity and thrive when you can move from zero to one.

Salary

The US base salary range for this position is $200,000-$230,000 USD.

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We are seeking a seasoned professional to lead our Field Engineering team in Germany, focusing on strategic manufacturing and energy customers. As a player-coach, you will balance hands-on involvement in critical customer engagements with building repeatable motions, artefacts, and coaching mechanisms that scale impact across the team.

Key Responsibilities:

• Build, lead, and scale the pre-sales (Solutions Architect) team for Strategic Manufacturing and Energy customers in Germany, including hiring, coaching, performance management, and career development, and owning coverage for complex industrial stakeholder environments.

• Own pre-sales ROI and effectiveness, including coverage models, prioritisation, and impact on win-rate, sales cycles, and customer adoption.

• Act as a player-coach in strategic opportunities by balancing hands-on involvement in the most critical customer engagements with building repeatable motions, artefacts, and coaching mechanisms that scale impact across the team.

• Establish and reinforce a solution- and value-based selling culture, focused on business outcomes, not just technical excellence.

• Partner closely with Sales leadership to support forecast accuracy, pipeline quality, and consumption growth in a usage-driven business model.

• Engage with C-level and senior executives at strategic customers to build trusted relationships and long-term partnerships.

• Drive a scalable adoption model by anchoring partner and PS attach and establishing a crisp pre-/post-sales handshake tied to consumption outcomes (onboarding readiness, adoption milestones, expansion path).

• Represent Field Engineering as part of the regional leadership team, contributing to Databricks' brand, market positioning, and growth in Germany.

Requirements:

• Proven experience building and managing pre-sales or technical field teams in a high-growth environment.

• Strong background in data engineering, analytics platforms, databases, or data science, gained through engineering, consulting, or technical leadership roles.

• Demonstrated success in consumption-based or SaaS business models, including forecasting, expansion, and customer adoption.

• Ability to operate as a player-coach, balancing hands-on deal involvement with scalable team leadership.

• Track record of partnering effectively with Sales and cross-functional leaders to drive measurable business outcomes.

• Experience establishing repeatable processes that improve efficiency without limiting innovation or ownership.

• Passion for the data and AI market and the ability to articulate a clear, executive-level POV on the value of Databricks.

• Executive presence with the ability to influence and communicate confidently at C-level.

• Fluent German (highly preferred) and fluent English (required).

About Databricks

Databricks is a data and AI company providing a unified and democratized data, analytics, and AI platform. It has over 10,000 organisations worldwide relying on its services.

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You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data.

RSAs are billable and know how to complete projects according to specification with excellent customer service.

The impact you will have:

• Handle a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases

• Work with engagement managers to scope variety of professional services work with input from the customer

• Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications

• Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.

• Provide an escalated level of support for customer operational issues

• Collaborate with the Databricks Technical, Project Manager, Architect and Customer teams to ensure the technical components of the engagement are delivered to meet customer's needs

• Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues

What we look for:

• 6+ years experience in data engineering, data platforms & analytics

• Comfortable writing code in either Python or Scala

• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one

• Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals

• Familiarity with CI/CD for production deployments

• Working knowledge of MLOps

• Design and deployment of performant end-to-end data architectures

• Experience with technical project delivery - managing scope and timelines

• Documentation and white-boarding skills

• Experience working with clients and managing conflicts

• Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects

• Ability to travel up to 30% when needed

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 base 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 anticipated 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 $180,656-$248,360 USD

Zone 2 Pay Range $180,656-$248,360 USD

Zone 3 Pay Range $180,656-$248,360 USD

Zone 4 Pay Range $180,656-$248,360 USD

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To be successful in this role, you will need a Bachelor's degree in a related field such as Computer Science, Data Analytics, Education, or similar. You will also need 2-4 years of technical instruction or related experience. You will love teaching and creating those lightbulb moments for learners. You will create learning environments with high levels of engagement. You will be laser-focused on learner and customer outcomes while adjusting instruction on the fly. You will believe teaching is a craft that we can always get better at and actively seek out feedback. You will communicate clearly and concisely with internal and external stakeholders. You will thrive in an environment of cross-collaboration that moves quickly. You will have experience developing curricula and shipping courses fast.

What will make you stand out? You have worked on customer education/training teams and know how training can drive outcomes for customers. You have experience using dbt and/or teaching dbt. You have experience writing analytics code (i.e., Python, R, etc.) in addition to SQL and working with databases. You have experience designing curricula with a focus on backwards design. You have a dbt Fundamentals badge.

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Intercom is the AI Customer Service company on a mission to help businesses provide incredible customer experiences.

Our AI agent Fin, the most advanced customer service AI agent on the market, lets businesses deliver always-on, impeccable customer service and ultimately transform their customer experiences for the better. Fin can also be combined with our Helpdesk to become a complete solution called the Intercom Customer Service Suite, which provides AI enhanced support for the more complex or high touch queries that require a human agent.

What's the Opportunity?

The Research, Analytics & Data Science (RAD) team turns insight into action. We uncover customer, product, and business insights and translate them into tools and decision systems embedded directly into GTM workflows.

AI has unlocked an entirely new generation of internal tools for our GTM teams. We’re evolving from static dashboards to LLM and agent-powered workflows that do the work: auto-researching accounts, summarizing prior interactions, drafting personalized outreach, flagging renewal risk, and assembling decks and docs - enabling Sales and Success to focus on high-value conversations.

What Will I Be Doing?

• Design, evaluate, and ship AI-powered internal tools for GTM use cases - including account research & summaries, next-best-action recommendations, renewal propensity, pipeline risk detection, QBR/autobrief generation, and post-call summarization & follow-ups.
• Work end-to-end: Own the full lifecycle, from problem definition and data modeling to building production-ready tools, including writing Python backends and React frontends.
• Prototype fast, ship to learn: Rapidly build with users, then productionize quickly to iterate and deliver impact.
• Instrument for adoption and outcomes: Define success through real usage and measurable business impact (e.g., improved win rate, conversion, expansion).
• Evangelize and enable: Document playbooks, run enablement sessions, and help leaders operationalize new tooling across teams.

What Skills Do I Need?

• Proven track record of applied data science with measurable GTM impact - you’ve shipped models or tools that moved metrics like conversion, cycle time, or retention.
• LLM/ML application experience - familiarity with RAG, prompt and tool design, vector search, evals and have leveraged AI for development.
• Excellent SQL skills and fluency in Python or R, with experience applying analytical and statistical methods to business problems.
• Experience with orchestration tools (e.g., DBT, Airflow) for deploying reliable data workflows.
• Strong communication and empathy - ability to translate complex data concepts for non-technical stakeholders.
• Collaborative product mindset - comfort working closely with Sales and Success teams to turn ambiguity into clear deliverables.

Benefits

We are a well-treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us!

• 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
• 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
• MacBooks are our standard, but we’re happy to get you whatever equipment helps you get your job done

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 expect employees to be in the office at least three days per week.

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Key Responsibilities:

• Lead and manage the team that partners with Sales (Growth and Retention) to define market-winning strategies that align with Komodo's overarching business objectives.

• Lead and manage the team that acts as technical diplomats to C-suite stakeholders, translating business hurdles into actionable solutions using Komodo's suite of products and Healthcare Map.

• Lead and manage the team that oversees the creation of customer-specific technical solutions that address requirements and long-term goals.

• Collaborate with Product, Sales, Marketing, and other teams to craft and deliver compelling value propositions and demonstrations.

• Lead and manage the team that provides thought leadership on the application of analytics and healthcare data to drive measurable customer success.

Requirements:

• 15+ years of professional experience with a significant focus on high-growth SaaS, analytics, or AI environments.

• 8+ years of leadership experience, specifically having scaled a presales and/or technical consulting organization, ideally from an earlier stage to a multi-layered enterprise team.

• Strategic Breadth: Proven ability to influence internal product direction and external customer strategy simultaneously.

• Domain Knowledge: Experience navigating the Life Sciences and/or Healthcare space.

• Technical Literacy: Awareness of data science tools, cloud technologies, and AL/ML applications.

Expectations of AI Use in this role:

• Applies AI strategically, knowing how to use the right tools at the right time to solve problems or generate new ideas.

• Uses AI to accelerate feedback loops, test ideas, and make informed decisions faster.

• Applies both judgment and creativity when working with AI and understands its limitations.

• Educates and enables others in the proper use of AI in the pre-sales domain.

• Demonstrates curiosity and initiative in exploring new AI tools and workflows relevant to their role.

• Has developed or shared AI-enhanced workflows, automations, or prompts with others.

• Brings a reflexive AI mindset and uses AI as a natural part of their process to iterate, research, and deliver better work.

• Comfortable working in AI-enhanced environments across writing, data analysis, content creation, or design.

• Regularly leverages AI tools such as Gemini, Cursor, Perplexity, Claude, ChatGPT, or Microsoft Copilot to improve speed, clarity, or creative output.

This position may be eligible for performance-based bonuses as determined in the Company's sole discretion and in accordance with a written agreement or plan. This role may also be eligible for equity awards. In addition, this role is eligible for benefits including, but not limited to, comprehensive health, dental, and vision insurance; flexible time off and holidays; 401(k) with company match; disability insurance and life insurance; and leaves of absence in accordance with applicable state and local laws and regulations and company policy.

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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

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You will combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business 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 across India 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 across India 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 both the Claude API and Claude for Work

• Create and deliver compelling technical content tailored to different audiences across India. 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 across India 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 occasionally 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:

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

• Experience working with enterprise customers, 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

• Comfortable 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

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 collaborate with colleagues.

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You’ll play a key leadership role at the intersection of technology and business,guiding your team to design impactful solutions and drive growth through collaboration and innovation.

You’ll empower your team to communicate complex ideas with clarity, support strategic enterprise customer engagements, and build lasting partnerships with clients and internal stakeholders.

The impact you will have:

• Lead, mentor, and support a high-performing, inclusive pre-sales team

• Foster an environment of belonging, continuous learning, and psychological safety that reflects Databricks’ values of customer focus, teamwork, and diversity.

• Work closely with Sales and other teams to identify opportunities and deliver data-driven, value-focused solutions.

• Establish best practices that improve team efficiency, collaboration, and business impact.

• Build trusted relationships with customers and partners, acting as a strategic advisor in their digital transformation journey.

• Partner with Marketing, Sales, Services, and other cross-functional teams to ensure a seamless customer experience.

• Represent Databricks as part of the regional leadership team, contributing to our local presence and inclusive culture.

What we’re looking for:

You do not need to fulfill every single requirement to be a strong candidate. If you are excited about this role and have related experience, we encourage you to apply.

• Proven experience leading or managing technical teams in Big Data, Cloud, or SaaS environments,or equivalent experience gained through hands-on engineering or consulting work.

• A track record of coaching and developing diverse, high-performing teams.

• Strong collaboration skills and the ability to partner effectively with Sales, Marketing, and other cross-functional leaders.

• Excellent communication and interpersonal skills

• Technical background in Data Engineering, Databases, or Data Science (consulting or customer-facing experience preferred).

• Enthusiasm for data, AI, and cloud technologies, and the ability to connect these to real business outcomes.

About Databricks:

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

To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

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:

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance:

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

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You will help our customers to achieve tangible data-driven outcomes through the use of our The Databricks Lakehouse Platform, helping data teams complete projects and integrate our platform into their enterprise Ecosystem. You'll grow as a leader in your field, while finding solutions to our customers' biggest challenges in big data, analytics, data engineering and data science problems.

Responsibilities:

• Be a Big Data Analytics expert on aspects of architecture and design
• Lead your prospects through evaluating and adopting Databricks
• Support your customers by authoring reference architectures, how-tos, and demo applications
• Integrate Databricks with 3rd-party applications to support customer architectures
• Engage with the technical community by leading workshops, seminars and meet-ups

What we look for:

• Pre-sales or post-sales experience working with external clients across a variety of industry markets
• Understanding of customer-facing pre-sales or consulting role with a core strength in either Data Engineering or Data Science advantageous
• Experience demonstrating technical concepts, including presenting and whiteboarding
• Experience designing and implementing architectures within public clouds (AWS, Azure or GCP)
• Experience with Big Data technologies, including Apache Spark, AI, Data Science, Data Engineering, Hadoop, Cassandra, and others.
• Fluent coding experience in Python or Scala implementing Apache Spark, Java and R is also desirable
• Experience working with Enterprise Accounts
• Written and verbal fluency in Japanese and English

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You have technical depth and business knowledge and can drive complex technology discussions which express the value of the Databricks platform throughout the sales lifecycle.

In partnership with our Account Executives, you will engage with our customers' technical leads, including architects, engineers, and operations teams with the goal of establishing yourself as a trusted advisor to achieve tangible outcomes.

You will work with teams across Databricks and our executive leadership to represent your customer's needs and build valuable customer engagements and report to the Field Engineering Manager.

The impact you will have:

• Work with Sales and other essential partners to develop account strategies for your assigned accounts to grow their usage of the platform.

• Establish the Databricks Lakehouse architecture as the standard data architecture for customers through excellent technical account planning.

• Build and present reference architectures and demo applications for prospects to help them understand how Databricks can be used to achieve their goals to land new users and use cases.

• Capture the technical win by consulting on big data architectures, data engineering pipelines, and data science/machine learning projects; prove out the Databricks technology for strategic customer projects; and validate integrations with cloud services and other 3rd party applications.

• Become an expert in, and promote Databricks inspired open-source projects (Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars.

What we look for:

• 5+ years in a customer-facing pre-sales, technical architecture, or consulting role with expertise in at least one of the following technologies:

• Big data engineering (Ex: Spark, Hadoop, Kafka)

• Data Warehousing & ETL (Ex: SQL, OLTP/OLAP/DSS)

• Data Science and Machine Learning (Ex: pandas, scikit-learn, HPO)

• Data Applications (Ex: Logs Analysis, Threat Detection, Real-time Systems Monitoring, Risk Analysis and more)

• Experience translating a customer's business needs to technology solutions, including establishing buy-in with essential customer stakeholders at all levels of the business.

• Experienced at designing, architecting, and presenting data systems for customers and managing the delivery of production solutions of those data architectures.

• Fluent in SQL and database technology.

• Debug and development experience in at least one of the following languages: Python, Scala, Java, or R.

• Desired: Built solutions with public cloud providers such as AWS, Azure, or GCP

• Desired: Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)

• Travel to customers in your region up to 30% of the time.

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Discord plays a uniquely important role in the future of gaming. We're a multiplatform, multigenerational and multiplayer platform that helps people deepen their friendships around games and shared interests.

As a Product Designer on our Notifications team, you will own end-to-end initiatives across the full notification experience , from new notification types to settings redesigns to delivery optimizations across all platforms (iOS, Android, Desktop, Web).

Your work will directly impact how we grow Discord while protecting the experience that makes it special.

Responsibilities:

• Own end-to-end initiatives across the full notification experience , from new notification types to settings redesigns to delivery optimizations across all platforms (iOS, Android, Desktop, Web)
• Design with high craft and velocity , creating production-ready specs and high-fidelity prototypes while knowing when to ship vs. polish
• Influence scope and strategy in partnership with your PM, engineering lead, and cross-functional teammates, balancing growth velocity with user value
• Use data and research to inform decisions, partnering with research and data science teams to validate designs and understand user behavior
• Think in systems , considering how notification types, orchestration, and settings work together to create a cohesive experience
• Collaborate and communicate effectively , sharing work early and often, telling compelling stories about your design rationale, and building relationships across teams
• Drive projects autonomously , managing your own time and deliverables while knowing when to escalate blockers

Requirements:

• 3+ years of product design experience designing consumer-facing digital products , though we're open to strong candidates with 2+ years who demonstrate exceptional craft and potential
• Strong visual design foundation with demonstrated aesthetic taste
• Solid interaction design skills , you create intuitive flows, understand information architecture, and can design for complex, multi-step experiences
• High proficiency with Figma and prototyping tools (Protopie, Framer, Principle, etc.)
• Experience shipping products collaboratively in cross-functional teams with engineering, product management, research, and data science
• Ownership mindset with a bias toward action , you proactively drive projects and decisions forward

Bonus Points:

• Personal use of Discord and passion for gaming or community platforms
• Experience designing growth, engagement, or lifecycle marketing products
• Understanding of notification systems, push delivery, or messaging platforms
• Familiarity with experimentation frameworks and data-driven iteration

Why Discord?

Discord plays a uniquely important role in the future of gaming. We're a multiplatform, multigenerational and multiplayer platform that helps people deepen their friendships around games and shared interests.

Join us in our mission!

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You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data.

RSAs are billable and know how to complete projects according to specification with excellent customer service.

The impact you will have:

• Handle a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases

• Work with engagement managers to scope variety of professional services work with input from the customer

• Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications

• Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.

• Provide an escalated level of support for customer operational issues

• Collaborate with the Databricks Technical, Project Manager, Architect and Customer teams to ensure the technical components of the engagement are delivered to meet customer's needs

• Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues

What we look for:

• 6+ years experience in data engineering, data platforms & analytics

• Comfortable writing code in either Python or Scala

• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one

• Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals

• Familiarity with CI/CD for production deployments

• Working knowledge of MLOps

• Design and deployment of performant end-to-end data architectures

• Experience with technical project delivery - managing scope and timelines

• Documentation and white-boarding skills

• Experience working with clients and managing conflicts

• Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects

• Ability to travel up to 30% when needed

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 base 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 anticipated 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 $180,656-$248,360 USD

Zone 2 Pay Range $180,656-$248,360 USD

Zone 3 Pay Range $180,656-$248,360 USD

Zone 4 Pay Range $180,656-$248,360 USD

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This role sits within the Affiliates pillar of the Financial Crime, Compliance & Risk Oversight (FinCRO) organization, and you will be reporting to the APAC Affiliates Lead.

As the named RC & MLRO of Stripe Japan, you will lead/assist in the registration of Stripe Japan as a Funds Transfer Business Operator (FTBO) with the Kanto Local Finance Bureau (KBF), under the oversight of the Japan Financial Services Agency (JFSA).

In your role as the RC & MLRO, you will be the principal decision-maker and strategic lead on regulatory compliance and financial crime risk management decisions, serving a critical role in ensuring Stripe’s continued safe growth and success in Japan.

You will also be the public face of FinCRO in Japan.

The ideal candidate must have deep subject matter expertise and a proven track record building and evolving tech-forward regulatory compliance and financial crime programs (collectively, compliance programs).

Key Responsibilities

• Strategic Leadership: Develop and implement a robust and effective compliance strategy for Japan, aligning with global FinCRO objectives and business goals, leveraging AI, data science and automation wherever possible.

• Regulatory Compliance and Financial Crimes Programs Oversight: Act as the RC & MLRO, owning and enhancing Stripe Japan's compliance programs, in particular, ensuring the financial crime program is designed to efficiently and effectively prevent, detect, and report money laundering, terrorist financing, and other financial crimes.

• Regulatory Management: Proactively engage with local regulators to shape the future of fintech oversight, advocating for tech-enabled compliance solutions.

• External influence: Act as a thought leader in the payments industry, representing Stripe in external forums and groups to help modernize regulatory expectations for the fintech era.

• Partner and Relationship Management: Build and maintain trust and strong, collaborative relationships with key financial partners, including banks, payment networks, and other third-party providers.

• Advisory and Consultation: Exercise oversight to ensure Stripe’s program and controls are fit for purpose.

Qualifications

• Experience: 10+ years of experience in financial crime, with a significant focus on financial services, fintech, or payments, and deep contacts - and influence - across the industry

• Regulatory Knowledge: Deep and current knowledge of financial crimes and other relevant financial services laws and regulations across Japan.

• Communication: Exceptional communication skills, with the ability to articulate complex regulatory concepts to both technical and non-technical audiences.

• Strategic Mindset: Ability to think strategically and translate complex regulatory requirements into creative and practical solutions.

• Problem-Solving: Strong analytical and problem-solving skills, with a data-driven approach to decision making

• Resilience: Define and iterate on Stripe Japan’s risk appetite, ensuring a defensible stance as Stripe explores new, high-growth verticals and opportunities

• Data proficiency: High data literacy, ability to work closely with data teams to identify emerging financial crime patterns and validate the effectiveness of detection models

• Certifications: CAMS (Certified Anti-Money Laundering Specialist) or other relevant professional certifications are a plus.

Nice to Have

• Experience working in a global, matrixed organization.

• Deep competence navigating the regulatory guardrails amidst a high-growth environment

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Responsibilities:

• Advise customers on usage of Stripe's PINless debit offering
• Design and collaborate on PINless debit experiments alongside Stripe's Data Science, and own experiment result analysis and customer facing readouts of analysis
• Serve as an internal expert on Stripe's PINLess debit offering, relaying customer feedback to Product with the goal of shaping Stripe's roadmap and strategy for PINless debit
• Work with account teams, deal pricing teams and partnership teams to manage Visa and Mastercard incentive offers, churn risks and volume win back initiatives
• Lead discussions with existing and prospective merchants, and provide the Sales team with tools and training to lead discussions with merchants and prospects.
• Serve as both an internal and merchant-facing expert on payment optimisation strategies.
• Gather and build on Stripe's wide-ranging payments expertise to create optimisation narratives/tools supported by rigorous analysis.
• Use existing tools to deploy sophisticated optimization playbooks and analyses across Stripe's customer portfolio.
• Synthesise and relay customer feedback and our findings to inform Stripe's product roadmap.
• Provide feedback on our tools and playbooks to help continuously improve our self serve offerings
• Develop optimization playbooks and stay updated on industry best practices and Stripe innovations

Requirements:

• 10+ years of experience in payments at a leading technology company, or consultancy in the payments industry.
• Deep expertise in PINless debit
• Understanding of e-commerce payments, cards based payments processing and optimization strategies, with a strong focus on PINless debit.
• Understanding of PINless debit regulations
• The ability to deal effectively with ambiguity and thrive in an unstructured, fast-moving environment.
• A proven ability to be a self-starter capable of driving business results without significant supervision.
• Experience presenting directly to merchants
• Strong data processing, organisational and analytical skills.

Preferred qualifications:

• Experience with designing and administering A/B tests, SQL, dashboard building, modelling, or reporting
• Experience presenting to senior business leaders

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You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business 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 both the Claude API and Claude for Work

• 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 occasionally 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:

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

• Native German speaker with fluent English proficiency

• Experience working with enterprise customers, 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

• Comfortable 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

Annual Salary: €190,000-€215,000 EUR

Logistics:

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

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

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

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

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

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

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

How we're different:

• We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact , advancing our long-term goals of steerable, trustworthy AI , rather than work on smaller and more specific puzzles.

• We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science.

• We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time.

• As such, we greatly value communication skills.

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

Come work with us!

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

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Key responsibilities include:

• Leading virtual teams to success within the account
• Establishing relationships with executives and influencers
• Presenting a convincing point-of-view to important decision-makers
• Implementing the technical strategy in the account
• Building a movement of technical champions within the account

Requirements include:

• Proficiency in establishing virtual teams and leading them to success
• Experience working with large, global accounts
• Ability to present a convincing point-of-view to important decision-makers
• Technical expertise in big data, data science, and cloud
• Experience with programming languages such as Python, SQL, or Scala

Benefits include:

• Competitive salary range of $180,000-$247,500 USD
• Eligibility for annual performance bonus
• Equity
• Comprehensive benefits and perks

At Databricks, we strive to provide a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards.

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Dialpad is the AI-native business communications platform. We unify calling, messaging, meetings, and contact center on a single platform - powered by AI that understands every conversation in real time.

As a leading business communications platform, we're now leading the shift to Agentic AI: intelligent agents that don't just analyze conversations but take action by automating workflows, resolving customer issues, and accelerating revenue in real time. Our DAART initiative (Dialpad Agentic AI in Real Time) is redefining what a communications platform can do.

Visit dialpad.com to learn more.

Being a Dialer

At Dialpad, AI isn't just a feature; it's how our teams do their best work every day. We put powerful AI tools in every employee's hands so they can move faster, think bigger, and achieve more. We believe every conversation matters. And we've built the platform that turns those conversations into insight and action, for our customers and ourselves.

We look for people who are intensely curious and hold themselves to a high bar. Our ambition is significant, and achieving it requires a team that operates at the highest level. We seek individuals who embody our core traits: Scrappy, Curious, Optimistic, Persistent, and Empathetic.

Your Role

As an AI Productivity Analyst, you'll own a critical role in scouting, evaluating, testing, and piloting third-party AI tools to unlock significant productivity gains across Dialpad. You'll work closely with the Head of AI Transformation and functional leads from Engineering, Design, Marketing, Customer Success, and FP&A to map high-value process bottlenecks and identify AI solutions.

Responsibilities

• Partner with functional leads in Engineering, Design, Marketing, Customer Success, and FP&A to map high-value process bottlenecks.

• Research, shortlist, and demo external GenAI & ML products that can automate or accelerate those workflows.

• Design and run structured experiments (PoCs, A/B tests, pilot roll-outs) to quantify productivity impact and user adoption.

• Develop and present ROI models, providing actionable recommendations to senior leadership.

• Support implementation (including light configuration, prompt engineering, and user training) of selected solutions.

• Track business unit KPIs and OKRs post-deployment; iterate with partners and vendors to hit or exceed the 20% productivity target.

Skills You'll Bring

• Bachelor's degree in Computer Science or comparable technical degree, with a minor or demonstrated interest in Business Analytics, Data Science, (applied) AI, or related fields.

• 1-2 years of relevant experience.

• Demonstrated hands-on fluency with GenAI tools (e.g., Gemini, ChatGPT, Claude, Grok, etc.) in personal or academic projects.

• Solid understanding of AI technologies, machine learning concepts, and their applications in business settings.

• Analytical mindset: able to design experiments, interpret metrics, and separate signals from noise.

• Clear, concise communicator comfortable distilling technical findings for non-technical stakeholders.

• Curiosity, bias for action, and ownership mentality in a fast-moving, ambiguous environment.

• Nice-to-have: experience with SaaS integrations (Zapier, APIs) or low-code automation platforms.

• Solid foundation in Python or SQL; familiarity with data-viz dashboards (Tableau, etc.).

Why Join Dialpad

• Work at the center of the AI transformation in business communications

• Build and ship agentic AI products that are redefining how companies operate

• Join a team where AI amplifies every employee's impact

• Competitive salary, comprehensive benefits, and real opportunities for growth

We believe in investing in our people. Dialpad offers competitive benefits and perks, cutting-edge AI tools, and a robust training program that help you reach your full potential. We have designed our offices to be inclusive, offering a vibrant environment to cultivate collaboration and connection. Our exceptional culture, repeatedly recognized as a Great Place to Work, ensures that every employee feels valued and empowered to contribute to our collective success.

Don't meet every single requirement? If you're excited about this role and possess the fundamental traits, drive, and strong ambition we seek, but your experience doesn't meet every qualification, we encourage you to apply. Dialpad is an equal-opportunity employer. We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment.

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We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement.

As a Solutions Architect in the UAE Pre-Sales team, you will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges.

You'll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward.

Join us in our quest to change how people work with data and make a better world!

The impact you will have:

• Create impactful and successful relationships with customer accounts in the United Arab Emirates, providing technical and business value to Databricks customers in collaboration with the extended team.

• Become the trusted advisor of your customer on the Data and AI landscape by successfully driving and delivering the adoption of the Databricks Data Intelligence Platform.

• Enabling Partners and support internal events in the MEA region.

• Scale best practices in your field by authoring reference architectures, how-tos, and demo applications, and help build the Databricks community in your region by leading workshops, seminars, and meet-ups.

• Grow your knowledge and expertise to the level of a technical and/or industry specialist.

What we look for:

• Experienced in customer interactions in a technical pre-sales capacity and adept in managing complex sales lifecycles.

• Experienced in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences, requiring an ability to switch context and/or levels of technical depth.

• Ability to provide technical solutions for specialised customer needs, navigate a competitive landscape and effectively develop relationships to achieve long-term customer success.

• Hands-on expertise with complex Big Data architecture design for public cloud platform(s) solutions, focusing on use cases in Data Warehousing and Data Engineering architecture and implementation.

Data Science and Machine Learning skills will be advantageous.

• Prior experience with coding in a core programming language (i.e., Python, SQL etc.) and willingness to learn Apache Spark™.

• Experience and skills on the Databricks platform will be highly advantageous for the role!

• Excellent communication skills in English required as a minimum. Fluency in Arabic will be highly preferable for the position.

Key Notes:

• Location for the role will be in Paris (i.e. within a commutable distance for a hybrid schedule).

• You will need to be flexible and willing to travel to the United Arab Emirates for customer visits on a regular basis (i.e. up to ~2 weeks per month).

• We are seeking a candidate that will be interested in a future relocation to the region (Dubai) when an office is opened.

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Your measure of success is the number of workflows you've permanently transformed and the extent to which those in your group start any task with an AI tool.

Responsibilities:

• Identify and document the highest-leverage workflow transformations within your group's day-to-day work by deeply understanding their processes and outputs
• Build custom tools, agents, automations, and skills tailored to each marketer's specific responsibilities
• Coach and partner with each marketer through a progressive journey: from awareness, to first win, to regular AI integration, to full workflow transformation, to self-sufficiency
• Teach marketers to build and iterate on their own tools over time, creating independence
• Recognize patterns across your cohort and systematically scale what works , a tool built for one marketer should become reusable for their peers
• Document every tool, playbook, and transformation pattern you build so the entire FDA team can use each other's work
• Share wins visibly within your cohort and with leadership to build momentum, inspire, and celebrate success
• Track individual and cohort progress rigorously against a defined maturity model, moving every marketer toward self-sustaining, AI-first work
• Prepare marketers for an agentic future , not just prompt writing, but designing, building, and overseeing autonomous, multi-agent workflows

Who you are:

We're looking for people who have already lived the transformation they'll be driving for others. You've used AI to fundamentally change how you work , not as a novelty, but as your default operating mode.

• You are a deep AI practitioner. You build agents, automations, and tools fluently. You don't just know what AI can do in theory , you've built things that changed how real work gets done. You can build in real time alongside the people you support.
• You are an exceptional coach and communicator. You can meet people wherever they are. You create desire for progress, and you adapt your approach to each person.
• You understand marketing work. You either have direct experience in marketing or can quickly learn the workflows, deliverables, tools, and pressures of your assigned group. You know that understanding someone's work is a prerequisite to transforming it.
• You are a pattern recognizer. When you build something that works for one person, you immediately see how it applies to others. You think in systems, not one-off solutions.
• You are high-caliber, persistent, and versatile. Your skills and experience are valuable across the company. You're the kind of person who could succeed in many roles at Stripe.
• You bias toward action and speed. You'd rather show someone a working proof-of-concept on their own deliverable today than present a polished deck about what's theoretically possible next quarter.
• You are comfortable with ambiguity and evolution. This is a new team building a new operating model. The playbook will be rewritten as we learn. You thrive in that environment.

Minimum requirements:

• 5+ years of professional experience in a role requiring analytical thinking, problem-solving, and cross-functional collaboration
• Demonstrated, hands-on experience building AI-powered tools, agents, automations, or workflows that transformed real work processes (not just using AI as a chatbot , building with it)
• Track record of coaching, teaching, or enabling others , formally or informally , with evidence that people you've helped actually changed how they work
• Strong written and verbal communication skills, with the ability to explain technical concepts to non-technical audiences and adapt your style to different learners
• Comfort working across multiple workstreams and relationships simultaneously (you'll be supporting ~20 marketers at varying stages of their AI journey)

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The impact you will have:

• Form successful relationships with clients throughout your assigned territory, providing technical and business value to Databricks customers in collaboration with Account Executives.
• Operate as an expert in big data analytics to excite customers about Databricks, developing 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.
• Scale best practices in your field and support customers by authoring reference architectures, how-tos, and demo applications, and help build the Databricks community in your region by leading workshops, seminars, and meet-ups.
• Grow your knowledge and expertise to the level of a technical and/or industry specialist.

What we look for:

• Engage customers in technical sales, challenge their questions, guide clear outcomes, and communicate technical and value propositions.
• Develop customer relationships and build internal partnerships with account executives and teams.
• Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Spark.
• Proficient with Big Data Analytics technologies, including hands-on expertise with complex proofs-of-concept and public cloud platform(s).
• Experienced 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.

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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.

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Mixpanel is a digital analytics platform that helps companies understand user behavior and track company success metrics.

The Revenue Strategy & Operations team at Mixpanel partners with Regional Business Leaders & Global Leaders to help set and execute global and regional revenue strategies.

About the Role

As Senior Revenue Strategy & Operations Manager, you'll support on defining the strategy behind customer retention and account growth. You'll partner closely with CS and Sales leadership to improve Gross and Net Revenue Retention, enable scalable expansion motions, and proactively identify areas to enhance the customer experience and lifetime value.

Responsibilities

• Drive strategic initiatives that shape how we engage, retain, and grow our customer base

• Conduct advanced market, customer, and product analyses to uncover whitespace opportunities, inform strategic bets, and guide resource allocation

• Own and evolve the reporting framework for sales and post-sales KPIs,translating insights into recommendations that shape our post-sales strategy

• Act as a strategic thought partner to GTM leadership,bringing analytical rigor and business acumen to inform key decisions and go-to-market priorities

• Provide high-impact operational support to the Sales organization, proactively identifying bottlenecks and implementing scalable solutions to improve performance

• Run and evolve key operating cadences, including business performance deep dives, and executive-level business reviews across post-sales teams

• Collaborate cross-functionally with Product, Sales, Finance, and Marketing to ensure alignment and shared ownership of customer outcomes throughout the full lifecycle

We're Looking for Someone Who Has

• 4+ years of experience at a top-tier Management or Strategy Consulting firm

• 2+ years of operating experience in Corporate Strategy, Business Operations, or Sales Strategy in a high-growth, fast-paced environment at a B2B SaaS organization

• Experience defining and operationalizing GTM Strategy and proven experience driving impact on retention and expansion metrics (GRR, NRR, etc.)

• Strong project management experience with demonstrated ability to effectively manage time, prioritize tasks, and work within deadlines

• Track-record of collaborating with cross-functional partners to execute projects

• Highly motivated, innate intellectual curiosity, and a strong desire to drive impact

• Excellent problem-solving skills, and the ability to thrive in a fast-paced, dynamic environment

• Outstanding written and oral communication skills

Bonus Points For

• Working knowledge of SFDC including Reporting and Record Management from lead creation through opportunity closure

• Proficiency in modeling and analyzing complex and large data sets

• Demonstrable passion for the data analytics industry

Compensation

The amount listed below is the total target cash compensation (TTCC) and includes base compensation and variable compensation in the form of either a company bonus or commissions. Variable compensation type is determined by your role and level. In addition to the cash compensation provided, this position is also eligible for equity consideration and other benefits including medical, vision, and dental insurance coverage.

Our salary ranges are determined by role and level and are benchmarked to the SF Bay Area Technology data cut released by Radford, a global compensation database. The range displayed represents the minimum and maximum TTCC for new hire salaries for the position across all of our US locations. To stay on top of market conditions, we refresh our salary ranges twice a year so these ranges may change in the future. Within the range, individual pay is determined by experience, job-related skills, qualifications, and other factors. If you have questions about the specific range, your recruiter can share this information.

Mixpanel Compensation Range $189,000-$231,000 USD

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, 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.

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This is a build role. You will write and own the policies and SOPs your team operates against, design the controls framework, and continuously improve the processes underneath it , including using Claude and other tools to automate work that doesn't need to be manual.

Responsibilities:

• Close Operations:
• Own a portfolio of accounts through month-end and quarter-end close , including reconciliations, journal entries, and variance commentary
• Drive close acceleration by identifying bottlenecks and implementing process changes that reduce cycle time without sacrificing accuracy
• Ensure all close deliverables are consistently audit-ready, with clear documentation of positions and supporting evidence
• Oversee SOX control preparation and execution across your accounts; review control evidence and own timely remediation of any gaps

• Technical Accounting & Policy:
• Write, own, and maintain technical accounting policies and SOPs across your domain , drafting, evolving, and operationalising them as the business changes
• Review technical accounting memos prepared by your team; ensure conclusions are well-supported and consistent with US GAAP
• Collaborate with Technical Accounting on new or evolving standards and translate guidance into procedures the team can execute
• Own external audit responses within your domain; ensure timely delivery of supporting schedules and audit-ready workpapers

• Process Improvement & Automation:
• Identify repetitive, rules-based tasks across the team's workflows and build scalable solutions , including leveraging Claude , to automate or replace them
• Document workflows and controls in a way that supports knowledge transfer, audit evidence, and system scalability
• Contribute to ERP and systems implementations, translating accounting requirements into clear specifications and test criteria

• Cross-Functional Partnership:
• Partner with Finance & Strategy, Tax, People Operations, Procurement, and Facilities to keep accounting aligned with business activity in real time
• Translate complex accounting positions into plain language for non-finance stakeholders
• Support new entity setup and geographic expansion by establishing accounting processes for new jurisdictions as Anthropic grows

• Team Leadership & Review:
• Coach and develop a team of highly agile performers - providing timely, specific feedback that raises the technical and operational bar over time
• Hire and onboard accountants as the team grows; set clear expectations and build a culture of precision and continuous improvement
• Serve as the first escalation point for complex transactions and accounting judgments across your team's workstreams

Areas of experience include:

• Close management and acceleration; process improvement; SOX control design and operation
• Real estate and lease accounting (ASC 842); fixed assets, capitalisation policy, and depreciation
• Payroll accounting; stock-based compensation (ASC 718); commissions (ASC 340-40); contingent worker accounting
• Cash and investments; debt accounting; IDSE, Intangibles, prepaids, accruals, and period-end cut-off controls

You May Be a Good Fit If You:

• Hold an active CPA licence
• Have around 10 years of progressive accounting experience, combining public company experience (in audit or in-house) with time at a high-growth or startup environment
• Have a Big 4 audit background , a strong signal of technical depth and audit-readiness standards
• Have managed or meaningfully coached more junior accountants and are ready for a role with direct reports
• Are comfortable owning accounting policies and SOPs end-to-end: writing them, maintaining them, and being accountable for how the team applies them
• Can move fluidly between reviewing your team's work and doing the work yourself , equally comfortable in a reconciliation spreadsheet and a review meeting
• Have experience designing and operating controls in a SOX environment
• Thrive in ambiguity and can structure work, reach defensible conclusions, and document them clearly even when the answer is not obvious
• Are energised by building from scratch rather than maintaining what already exists
• Have a clear point of view on how AI tools can eliminate low-value accounting work , and want to put that into practice
• Communicate clearly with non-accounting partners and can explain a complex position in plain language

Strong Candidates May Also:

• Have public company accounting experience, including exposure to financial reporting cycles
• Bring deep expertise in two or more specialty areas: ASC 842 lease accounting, ASC 718 stock-based compensation, commissions accounting, payroll accounting, or fixed asset accounting
• Have led or played a significant role in an ERP implementation , particularly in a high-growth environment where accounting requirements were evolving mid-project
• Have experience building accounting infrastructure from the ground up: chart of accounts design, allocation methodology, or close cadence structure
• Bring familiarity with AI or infrastructure-heavy business models where cost attribution and capitalisation decisions are complex
• Have managed accounting through significant organisational change , new entity setup, geographic expansion, or business model evolution

The annual compensation range for this role is $190,000-$230,000 USD.

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As a Machine Learning Engineer on the Support Experience team, you'll play a crucial role in enhancing our self-serve support experiences.

About the Team

The Support Experience engineering organization builds and improves Stripe's user support from end to end: how users get help within our products, how they get in touch with us when they have questions, and how our teams use internal tools to answer those questions.

Responsibilities

• Design and implement state-of-the-art ML models and large-scale ML systems for enhancing self-serve support capabilities, balancing ML principles, domain knowledge, and engineering constraints
• Develop and optimize contextual conversation models and ML-powered resolution flows for common support scenarios, using tools such as PyTorch, TensorFlow, and XGBoost
• Create and refine pipelines for training and evaluating models in both offline and online environments, with a focus on improving support quality and user satisfaction
• Implement ML features that streamline information collection and processing for support agents, enhancing overall support efficiency
• Collaborate with product, strategy, and content teams to propose, prioritize, and implement new AI-driven support features and improve answer capabilities

Requirements

• Bachelor's Degree in ML/AI or related field (e.g. math, physics, statistics)
• 3+ years in AI/ML and backend engineering, including building and operating production ML systems at global scale with stringent SLOs,balancing reliability, latency, and cost,with privacy, security, and compliance by design.
• Deep and up-to-date applied LLM experience: RAG/embeddings, tool use/function calling, agentic planning/orchestration architectures, post-training methods, code generation, benchmarks and evaluations, etc.
• Familiarity with classical ML methods and common frameworks e.g. Pytorch, TensorFlow.
• Proficient in Python; strong distributed systems and data science fundamentals.
• Experience working closely with product management, design, other engineers, and other cross-functional partners.
• Strong technical leadership and communication: mentoring and elevating engineers, elevating AI/ML awareness and posture within organizations, setting architectural direction, and driving alignment in ambiguity.

Preferred Qualifications

• MS/PhD degree in ML/AI or related field (e.g. math, physics, statistics)
• Experience working in Java or Ruby codebases
• Experience designing, deploying, and owning Agentic LLM solutions (e.g., multi-step orchestrators, tool use/function calling) specifically for complex customer support or internal workflow automation.
• Comfortable working with distributed teams across multiple locations and time zones

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We're looking for a Senior Data Scientist to join our Research, Analytics & Data Science (RAD) team. The RAD team turns insight into action by uncovering customer, product, and business insights and translating them into tools and decision systems embedded directly into GTM workflows.

AI has unlocked an entirely new generation of internal tools for our GTM teams. We're evolving from static dashboards to LLM and agent-powered workflows that do the work: auto-researching accounts, summarizing prior interactions, drafting personalized outreach, flagging renewal risk, and assembling decks and docs - enabling Sales and Success to focus on high-value conversations.

Responsibilities:

• Design, evaluate, and ship AI-powered internal tools for GTM use cases - including account research & summaries, next-best-action recommendations, renewal propensity, pipeline risk detection, QBR/autobrief generation, and post-call summarization & follow-ups.

• Work end-to-end: Own the full lifecycle, from problem definition and data modeling to building production-ready tools, including writing Python backends and React frontends.

• Prototype fast, ship to learn: Rapidly build with users, then productionize quickly to iterate and deliver impact.

• Instrument for adoption and outcomes: Define success through real usage and measurable business impact (e.g., improved win rate, conversion, expansion).

• Evangelize and enable: Document playbooks, run enablement sessions, and help leaders operationalize new tooling across teams.

Requirements:

• Proven track record of applied data science with measurable GTM impact - you've shipped models or tools that moved metrics like conversion, cycle time, or retention.

• LLM/ML application experience - familiarity with RAG, prompt and tool design, vector search, evals and have leveraged AI for development.

• Excellent SQL skills and fluency in Python or R, with experience applying analytical and statistical methods to business problems.

• Experience with orchestration tools (e.g., DBT, Airflow) for deploying reliable data workflows.

• Strong communication and empathy - ability to translate complex data concepts for non-technical stakeholders.

• Collaborative product mindset - comfort working closely with Sales and Success teams to turn ambiguity into clear deliverables.

Benefits:

• Competitive salary and equity in a fast-growing start-up

• Unlimited access to Claude Code and best-in-class AI tools; experimentation & building is encouraged & celebrated.

• We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen

• Regular compensation reviews - we reward great work

• 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

• MacBooks are our standard, but we're happy to get you whatever equipment helps you get your job done

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 expect employees to be in the office at least three days per week.

• 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. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values.

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Key responsibilities include:

• Leading technical teams to implement the technical strategy in the account
• Building a movement of technical champions within the account
• Aligning technical strategies around Databricks solutions
• Providing structured mentorship for other team members

The ideal candidate will have a solid background in value selling, technical account management, and technical leadership. They will also have experience working with large, global accounts and a strong understanding of big data, data science, and cloud technologies.

Competencies:

• Proficiency at establishing virtual teams and leading them to ultimate success within the account
• Experience working with large, global accounts
• Forming relationships with executives and influencers
• Presenting a convincing point-of-view to important decision-makers
• Technical expertise in big data, data science, and cloud

Nice to have:

• Databricks Certification

Pay Range Transparency:

Databricks is committed to fair and equitable compensation practices. The pay range for this role is $180,000-$247,500 USD per year, depending on location and experience.

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Your responsibilities will include providing practical legal advice on a wide range of IP matters for data science, engineering, and business teams, drafting, reviewing, and negotiating IP-related terms in commercial and intercompany agreements, and supporting the open source program by providing legal review and pragmatic guidance on licensing, compliance, and contribution practices.

You will also partner with cross-functional stakeholders to improve open source policies and workflows, advise on open source governance topics such as usage and contributing, owning and releasing, and permissions and access, and review and advise on external-facing Tech Brand materials.

To be successful in this role, you will need to have a J.D. degree and active membership in good standing in one or more U.S. jurisdictions, at least three years of relevant legal experience, and working knowledge of intellectual property law, including copyright, trademark, and patent fundamentals.

You will also need to have excellent written and verbal communication skills, including the ability to translate complex legal issues into clear guidance for non-lawyers at all levels, and proven ability to manage multiple matters simultaneously, prioritize effectively, and drive issues to resolution with high ownership.

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You'll 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:

• Must have prior experience working with US federal, state, and/or local 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-$345,000 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.

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You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business 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 across Japan 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 across Japan throughout their Claude adoption journey, from discovery to initial evaluation through deployment
• Support customers building with both the Claude API and Claude for Work
• Create and deliver compelling technical content tailored to different audiences across Japan
• Guide technical architecture decisions and help customers across Japan 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 occasionally to customer sites for workshops, technical deep dives, and relationship building
• Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns

Requirements

• 5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager
• Native-level Japanese fluency and business-level English required
• Experience working with enterprise customers, 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
• Comfortable 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
• 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

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Our platform combines the best of AI and human intelligence to help contact centers discover customer insights and behavioral best practices, automate conversations and inefficient processes, and empower every team member to work smarter and faster.

As part of our Conversation Design team, you will assist in designing high-quality AI conversation models that offer real-time coaching and assistance for our customers' contact center agents, and designing conversational experiences for virtual agents for both voice and chat.

The role is highly collaborative and will require that you work closely with cross-functional team members from Machine Learning, Data Science, Program Management, Customer Success, Product Leadership, and Engineering.

Responsibilities:

• Assist with all stages of our AI Delivery projects - designing, building, deploying, and tuning AI solutions for multiple customers.

• Collaborate with internal and external stakeholders to design and build solutions that help customers achieve their business objectives using Cresta's AI product suite.

• Assist in designing solutions for contact centers in sales, retention, collections, and customer service across a range of verticals, from financial services to telecommunications and everything in between.

• Define labeling guidelines to be used to train conversational AI models, and assist with labeling as needed.

• Lead model maintenance efforts to ensure that Cresta's AI models continue to meet our quality standards.

• Design and develop virtual agent solutions using Google's Dialogflow CX.

Qualifications:

• Strong communication skills (verbal and written).

• Desire to work in a fast-paced environment with the opportunity to learn and develop a wide range of skills.

• General knowledge of Conversational AI and natural language processing models.

• Background in Linguistics preferred.

• Experience working with Python is a plus.

• Experience working with Dialogflow CX or another bot design platform is a plus.

Perks & Benefits:

• $30-$50 per hour subject to taxes.

• Lunch can be expensed (up to $25) while working in the office.

• PT0: 4 days

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At Labelbox, we're building the critical infrastructure that powers breakthrough AI models at leading research labs and enterprises. Since 2018, we've been pioneering data-centric approaches that are fundamental to AI development, and our work becomes even more essential as AI capabilities expand exponentially.

As an Applied Research Engineer at Labelbox, you'll sit at the junction of advanced AI research and real product impact, with a focus on the data that makes modern agents work,browser interactions, SWE/code traces, GUI sessions, and multi-turn workflows. You'll drive the data landscape required to advance capable, adaptable agents and help shape Labelbox's strategy for collecting, synthesizing, and evaluating it.

Create frameworks and tools to construct, train, benchmark and evaluate autonomous agent capabilities.

Design agent-focused data programs using supervised fine-tuning (SFT) and reinforcement learning (RL) methodologies.

Develop data pipelines from diverse sources like code repositories, web browsers, and computer systems.

Implement and adapt popular open-source agent libraries and benchmarks with proprietary datasets and models.

Engage with research teams in frontier AI labs and the wider AI community to understand evolving agent data needs for frontier models and share best practices.

Collaborate closely with frontier AI lab customers to understand requirements and guide model development.

Publish research findings in academic journals, conferences, and blog posts.

What You Bring

Ph.D. or Master's degree in Computer Science, Machine Learning, AI, or related field.

At least 3 years of experience addressing sophisticated ML problems with successful delivery to customers.

Experience building and training autonomous agents,tool use, structured outputs, multi-step planning,across browsers/GUI, codebases, and databases using SFT and RL.

Constructed and evaluated agentic benchmarks (e.g. SWE-bench, WebArena, τ-bench, OSWorld) and reliability/efficiency suites (e.g. WABER).

Adept at interpreting research literature and quickly turning new ideas into prototypes.

Deep understanding of frontier models (autoregressive, diffusion), post-training (SFT, RLVR, RLAIF, RLHF, et al.), and their human data requirements.

Proficient in Python, data science libraries and deep learning frameworks (e.g., PyTorch, JAX, TensorFlow).

Strong analytical and problem-solving abilities in ambiguous situations.

Excellent communication skills.

Track record of publications in top-tier AI/ML venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICML, ICLR, etc.).

Labelbox Applied Research

At Labelbox Applied Research, we're committed to pushing the boundaries of AI and data-centric machine learning, with a particular focus on advanced human-AI interaction techniques. We believe that high-quality human data and sophisticated human feedback integration methods are key to unlocking the next generation of AI capabilities. Our research team works at the intersection of machine learning, human-computer interaction, and AI ethics to develop innovative solutions that can be practically applied in real-world scenarios.

Life at Labelbox

Location: Join our dedicated tech hubs in San Francisco or Wrocław, Poland

Work Style: Hybrid model with 2 days per week in office, combining collaboration and flexibility

Environment: Fast-paced and high-intensity, perfect for ambitious individuals who thrive on ownership and quick decision-making

Growth: Career advancement opportunities directly tied to your impact

Vision: Be part of building the foundation for humanity's most transformative technology

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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:

• US Secret Clearance preferred for working with defense tech customers

• Prior work in government, government contracting, or government tech preferred

• 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-$345,000 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.

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This foundational leadership role will build and lead the Enterprise Marketing Strategy & Analytics function, serving as the operating system for a rapidly scaling marketing organisation. The primary mandate is to define and measure success across all marketing programmes,from demand generation (field events, ABM, EBCs, partner co-marketing) to pipeline contribution,creating a clear line from investment to pipeline to revenue.

Responsibilities

• Define and own the Enterprise Marketing measurement framework, targets, and reporting, covering the full funnel from top-of-funnel demand through pipeline influence and closed-won attribution.
• Build and maintain core analytics infrastructure (data models, attribution logic, dashboards) in partnership with Revenue Operations and Data Science, ensuring marketing and sales alignment on key metrics.
• Serve as one of the primary operating partner to Finance, HR, and Recruiting, leading budget tracking, headcount planning, and vendor management.
• Partner with marketing leadership and the central Marketing Ops & Strategy team on annual and quarterly planning, resource allocation, and performance reviews.
• Establish the operating cadence for Enterprise Marketing (QBRs, pipeline reviews, program retros), coordinating with the central Marketing Ops & Strategy team on organisation-wide rhythms, and drive the preparation needed to make these forums decision-useful.
• Lead the identification of high-leverage workflows to automate, partnering with the central GTM AI team on implementation and measuring productivity gains.
• Build and manage the Marketing Operations, Demand Analytics, and MarTech team, setting a high bar for analytical rigor and business partnership.
• Drive cross-functional alignment on shared definitions, tooling, and a single source of truth for marketing performance across the broader Marketing organisation and with Revenue Operations.
• Conduct strategic analyses to inform key organisational decisions, such as resource deployment, coverage ratios, and campaign capacity planning.

Requirements

• 10+ years in marketing operations, analytics, revenue operations, or strategy roles, including at least 3 years leading a team.
• Experience building or significantly scaling a marketing ops/analytics function at a high-growth B2B technology company undergoing significant organisational expansion.
• Deep fluency in the enterprise demand funnel, including lead scoring, MQL/SQL definitions, pipeline attribution, and campaign influence models.
• Hands-on expertise with the modern GTM data stack (CRM, Marketing Automation, BI tools).
• Proven track record of strategic partnership with Finance and Revenue Operations, including experience building budget models and sitting in planning cycles.
• Expertise in running the core operational rhythm of a marketing organisation: QBRs, headcount tracking, budget pacing, and vendor renewals.
• Strong written and verbal communication, capable of translating complex datasets into clear business narratives.
• Genuine curiosity about AI and a willingness to be an early, hands-on adopter of automation tools in your team’s workflows.

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. Visa sponsorship: We do sponsor visas!

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Your responsibilities will include:

• Working with 1-5 clients as the main technical voice for Databricks
• Leading customers on a transformational journey to evaluate and adopt Databricks as part of their strategy
• Implementing the technical strategy in the account, in close understanding of the strategy
• Building a movement of technical champions within the account
• Aligning technical strategies around Databricks solutions
• Providing structured mentorship for other team members

To succeed in this role, you will need to be proficient in establishing virtual customer collaboration and leading them to ultimate success within the account. You should also have experience working with very large (> $1m ARR), global accounts and forming relationships with executives and influencers.

As a technical expert in big data, data science, and cloud, you will present a convincing point-of-view to important decision-makers that leads them down a path of success. You will also have an ability in data-driven business transformation and driving change with data.

Nice to have: Databricks Certification.

Benefits and perks are available to all employees, and Databricks is committed to fostering a diverse and inclusive culture where everyone can excel.

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You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business 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 both the Claude API and Claude for Work

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 occasionally 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:

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

Experience working with enterprise customers, 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

Comfortable 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

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

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

Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry.

We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream.

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

Engineering

Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration.

We tackle hard technical problems, own our outcomes, and push for excellence at every level , from architecture to deployment.

It’s an environment where engineering is a craft, and builders become leaders.

What you’ll do

You will lead the engineering group responsible for driving Brex’s growth engine. This role involves strategic planning, team management, technical guidance, and cross-functional collaboration.

The ideal candidate is a seasoned engineering leader with a strong background in driving growth.

Where you’ll work

This role will be based in our San Francisco office.

We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home.

We currently require a minimum of two coordinated days in the office per week, Wednesday and Thursday.

Starting February 2, 2026, we will require three days per week in office - Monday, Wednesday and Thursday.

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

Responsibilities

• Lead and mentor high-performing teams of both product engineers and Salesforce admins and developers, fostering their career development through coaching, feedback, and hands-on guidance.

• Drive the architectural vision, technical roadmap, and project execution for our Salesforce platform, GTM applications, and Marketing website (Brex.com), ensuring scalability, performance, and security.

• Champion and integrate AI-native solutions within our Sales, Marketing, Operations, and CX systems and workflows of your teams to drive efficiency and unlock new capabilities.

• Partner with stakeholders across Sales, Marketing, Operations, and CX, acting as a strategic advisor to translate business needs into a prioritized engineering backlog while being jointly accountable to business metrics such as CAC, payback, and rep capacity.

• Own the operational excellence of your group, managing sprint capacity, removing blockers, and ensuring high-velocity, high-quality delivery.

• Establish and enforce engineering best practices for Sales and Marketing applications and the Salesforce ecosystem, including advanced DevOps (CI/CD, source control, release management), code quality, and system governance.

• Design and oversee the implementation of complex integrations and automation across our GTM systems and third-party applications, including owning build vs buy decisions.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

• 8+ years of software engineering experience with a strong technical background, with 3+ years of experience managing or leading multiple technical teams in a high-growth environment.

• 3+ years of progressive experience in Salesforce development and architecture.

• Deep expertise in the Salesforce platform, including Apex, Lightning Web Components, SOQL, and platform APIs.

• Experience architecting and building robust integrations between Salesforce and a broader ecosystem of GTM tools and third-party applications.

• Excellent interpersonal and relationship-building skills with the ability to manage and communicate effectively with XFN partners (e.g. Sales, Marketing, CX, and Operations) at all levels, from individual contributors to senior leadership.

• A strategic mindset with the ability to balance long-term platform health with immediate business needs, and a proven ability to prioritize and push back when work is not aligned with company goals.

• A passion for leveraging AI to improve both team productivity and the products you build.

Bonus points

• Salesforce certifications (e.g., Platform Developer II, Application/System Architect).

• Experience managing remote or distributed engineering teams.

• Former founders welcome.

• Experience building Slack applications and integrations.

• Experience with B2B growth.

• You have started your own technology venture or were a foundational engineering member of an early-stage start up.

We value entrepreneurial spirit & scrappiness!

• You are a champion for the customer and constantly put yourself in the shoes of your users, and strive to create an intuitive and delightful experience.

Compensation

The expected salary range for this role is $300,000 - $375,000.

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.

Brex LLC is a wholly owned subsidiary of Capital One, N.A.

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

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

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

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Key responsibilities include:

• Driving high-impact scientific work across GenAI-powered labeling and evaluation systems
• Identifying opportunities where LLMs and related methods can improve quality, speed, coverage, and cost efficiency
• Developing prototypes that demonstrate value in areas such as prompt optimization, task decomposition, quality estimation, routing, and human-in-the-loop workflows
• Designing rigorous measurement frameworks to evaluate model performance, workflow outcomes, and operational tradeoffs
• Partnering with engineering, product, and data science teams to shape roadmaps and productionize successful approaches
• Establishing strong standards for trustworthiness, including bias measurement, calibration, quality control, and responsible oversight
• Creating reusable methods and frameworks that can scale across teams and use cases

Requirements include:

• 10+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems on large-scale data
• Deep hands-on experience as an individual contributor solving technically complex, high-impact data science or ML problems
• Strong experience applying LLMs or other generative AI techniques to practical workflows, systems, or products
• Demonstrated ability to turn ambiguous problems into rigorous analyses, experiments, prototypes, and scalable solutions
• Proven track record of writing high-quality code and using technical work to influence product or platform direction
• Strong cross-functional collaboration skills and a track record of influencing leaders and peers through data and technical judgment
• Strong business and product sense with the ability to define meaningful success metrics and prioritize high-value opportunities
• Self-directed learning mindset and comfort working in a rapidly evolving technical landscape
• Experience with labeling systems, evaluation frameworks, human judgment workflows, or internal AI tooling is strongly preferred

In-office requirement statement: This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.

Relocation statement: This position is not eligible for relocation assistance.

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Key responsibilities include:

• Forming successful relationships with clients throughout your assigned territory to provide technical and business value.
• 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 customers by authoring reference architectures, how-tos, and demo applications.

To succeed in this role, you should have a strong background in Big Data Analytics, with experience working with clients, creating narratives, and answering customer questions. You should also be able to independently deliver a technical proposition, identify customers' pain-points, and explain important areas for business value.

We're looking for someone who is a good communicator, with excellent problem-solving skills and the ability to work well under pressure. If you're passionate about data and AI, and want to join a dynamic team, please apply!

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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.

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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.

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As part of our Personalization team, you'll work across Engineering, Data Science, and Design to deliver industry-leading AI and ML solutions,helping users easily discover inspiration, curate what they love, and shop for what brings their ideas to life.

Your responsibilities will include:

• Defining, designing, and launching thoughtful AI/ML-powered experiences that help users discover, curate, and shop ideas tailored to their unique taste.
• Partnering cross-functionally with Engineering, Design, and Data Science to craft seamless and delightful experiences at the intersection of user experience, ML, and AI.
• Setting product vision, influencing strategy, writing requirements, developing hypotheses, and establishing success metrics for critical personalization initiatives.
• Identifying and prioritizing new opportunities to advance the relevance, impact, and sophistication of personalization across Pinterest’s Curation portfolio.

To succeed in this role, you'll need:

• A track record in AI/ML products, with experience building and launching personalized experiences, ideally at scale, for consumer products (e-commerce a plus).
• Technical fluency, with a strong understanding of AI/ML product development and the ability to credibly partner with engineers and data scientists across the stack.
• Sharp communication skills, with comfort presenting to executives and cross-functional audiences and the ability to simplify complex technical and product concepts.
• A strategic and customer-centric mindset, with deep empathy for user needs and the ability to turn rich data and insights into new opportunities and delightful features.
• The ability to build trusted relationships with a variety of internal partners and align them to shared goals.
• An ownership mindset, with the skills to define what success looks like, rally teams, and guide projects from ideation to successful launch.

If you're a motivated and experienced product leader with a passion for AI/ML and a desire to drive innovation at scale, we'd love to hear from you.

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