Primary Responsibilities:

• Lead and perform IT and integrated audit engagements, with support from IT Auditors, focusing on IT core infrastructure, trade execution and trade processing infrastructure, critical applications, and IT general controls;
• Build and maintain relationships with key stakeholders, establishing a culture of engagement while adding value;
• Develop and maintain an in-depth understanding of the technology organization, business areas, and support functions;
• Support the Head of Information Technology Audit with audit planning, scope design, internal control assessment, raising and reporting of issues, and monitoring of remediation plans;
• Participate in department-wide initiatives focused on continually improving firm processes and the control environment;
• Assist with annual risk assessment process, audit plan creation, and other departmental administrative projects.

Qualifications/Skills Required:

• 12+ years of IT audit experience with exposure to core IT infrastructure, cyber security, equities trading, fixed-income trading, operations, and/or trade support functions;
• Strong analytical and reporting skills and effective relationship-building experience;
• Effective communication (verbal and written) and inter-personal skills, with the ability to present sophisticated and sensitive issues to management and inspire change;
• Knowledge and experience of core IT infrastructure platforms (e.g., Windows, Unix, Sybase, SQL), cyber security, cloud technology, networks, firewalls, and/or data analytics;
• Extensive knowledge of the audit lifecycle and the evaluation of IT general controls and IT automated controls;
• Bachelor’s degree in Information Systems, Computer Science/Engineering, or other relevant fields;
• A related certification (e.g., CISA, CISSP, CIA) is desired;
• Domestic and international travel requirements: 0%-10%.

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

XML job scraping automation by YubHub

Daily data-driven experiments will provide key insights around model strengths and inefficiencies which you'll use to improve your product's performance. If you are excited about shaping the future of the modern AI movement, we would love to hear from you!

You will:

• Own, plan, and optimize the AI behind our Enterprise customer's deepest technical problems
• Leverage SGP to build the most advanced AI agents across the industry including multimodal functionality, tool-calling, and more
• Have experience gathering business requirements and translating them into technical solutions
• Meet regularly with customer teams onsite and virtually, collaborating cross-functionally with all teams responsible for their data and ML needs
• Push production code in multiple development environments, writing and debugging code directly in both our customer's and Scale's codebases.

Ideally you'd have:

• 7+ years of full-time engineering experience, post-graduation
• A love for solving deeply complex technical problems with ambiguity using state of the art research and AI to accomplish your client’s business goals
• Strong engineering background: a Bachelor’s degree in Computer Science, Mathematics, or another quantitative field or equivalent strong engineering background.
• Deep familiarity with a data-driven approach when iterating on machine learning models and how changes in datasets can influence model results
• Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment
• Proficiency in Python to write, test and debug code using common libraries (ie numpy, pandas)

Nice to haves:

• Strong knowledge of software engineering best practices
• Have built applications taking advantage of Generative AI in real, production use cases
• Familiarity with state of the art LLMs and their strengths/weaknesses

XML job scraping automation by YubHub

Key responsibilities include: Partner with Scale AEs on the customer journey, delivering tailored demos and prototypes according to the customer's requirements. Develop technical domain expertise in Generative AI / large language model applications for Enterprise use cases, including customers in financial services, insurance, SaaS, and similar enterprises. Be accountable for securing the 'technical win' by unblocking technical challenges Interact with customers daily to understand their needs and design solutions to better serve them. Design and develop 'Scopes of Work' by breaking down customer challenges into a project plan Work closely with forward-deployed Software and Machine learning Engineers to develop agents in the initial post-sales stage Work with AEs and PMs to identify customer-specific feature requests. Drive strategic initiatives to improve the efficiency and effectiveness of the Solution Engineering team.

Ideal candidate will have: Strong engineering background with prior experience working with clients in a pre or post-sales capacity to realise business goals. Prior experience developing with Python, Java and/or other web development languages. Experience working in enterprise SaaS, cloud tech, finance, fintech or similar industries in a technical capacity with end-customer engagement. A track record as a self-starter, motivated to independently unblock technical issues in the field with the customer, away from the mothership. Presentation skills with a high degree of technical credibility when speaking with executives and front-line engineers. High level of comfort communicating effectively across internal and external organisations. Intellectual curiosity, empathy, and ability to operate with high velocity.

Nice to have: GenAI Experience Forward deployed engineering experience Machine Learning Experience

XML job scraping automation by YubHub

You will be accountable for securing the “technical win” by unblocking technical challenges. You will interact with customers daily to understand their needs and design solutions to better serve them. You will design and develop “Scopes of Work” by breaking down customer challenges into a project plan. You will work closely with forward-deployed Software and Machine learning Engineers to develop agents in the initial post-sales stage. You will work with Account Executives and Project Managers to identify customer-specific feature requests. You will drive strategic initiatives to improve the efficiency and effectiveness of the Solution Engineering team.

Ideally, you'd have a strong engineering background with prior experience working with clients in a pre or post-sales capacity to realise business goals. You should have prior experience developing with Python, Java and/or other web development languages. You should have experience working in enterprise SaaS, cloud tech, finance, fintech or similar industries in a technical capacity with end-customer engagement. You should have a track record as a self-starter, motivated to independently unblock technical issues in the field with the customer, away from the mothership. You should have presentation skills with a high degree of technical credibility when speaking with executives and front-line engineers. You should have a high level of comfort communicating effectively across internal and external organisations. You should have intellectual curiosity, empathy, and ability to operate with high velocity.

Nice to haves include GenAI Experience, Forward deployed engineering experience, and Machine Learning Experience.

XML job scraping automation by YubHub

As a full stack engineer, you will work with your team to build amazing tools/applications for internal company use as well as external customers/partners.

Key responsibilities include:

• Design, develop, test, and support full-stack applications on cloud-native distributed systems
• Build real-time integrations with SaaS platforms across the organisation
• Build a quality framework/unit tests that ensure product quality, performance, and load and are able to debug/identify system issues
• Collaborate with the broader teams, engage in engineering council, conduct code reviews, and improve our delivery process

Collaborate with the IAM team to manage cloud-based identity (Okta) and access controls, ensuring compliance with security policies and standards for internal applications.

Work heavily cross-functionally to identify areas for corporate technology service improvement and implement self-service solutions.

Requirements include:

• 5+ years of related experience with a Bachelor’s degree; or equivalent work experience
• Proficiency with UI frameworks such as React or Angular and HTML, CSS, Typescript, etc
• Proficiency with backend technologies, including API development, databases, and privacy permissions. Ex. Go, Python, PostgreSQL and GraphQL
• Experience with end-to-end testing and documentation
• Experience developing secure, scalable, and resilient applications on the cloud that handle sensitive data
• Experience with cloud technologies, e.g., AWS, Azure, GCP, Docker, or Kubernetes
• Familiarity with compliance frameworks such as SOC 2, ISO 27001, FedRAMP, and NIST.

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

The base salary range for this full-time position in the location of San Francisco is: $216,000-$270,000 USD

XML job scraping automation by YubHub

At Scale AI, our mission is to accelerate the development of AI applications. This role is at the intersection of cutting-edge AI research and practical application, with a focus on studying the data types essential for building state-of-the-art agents.

Responsibilities

• Explore the data landscape needed to advance intelligent, adaptable AI agents, guiding the data strategy at Scale to drive innovation.
• Contribute to impactful research publications on agents, collaborate with customer researchers, and work alongside the engineering team to translate these advancements into real-world, scalable solutions.

Requirements

• Practical experience working with LLMs, with proficiency in frameworks like Pytorch, Jax, or Tensorflow.
• A track record of published research in top ML venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICML, ICLR, COLM, etc.).
• At least three years of experience addressing sophisticated ML problems, either in a research setting or product development.

Nice to Have

• Hands-on experience with open source LLM fine-tuning or involvement in bespoke LLM fine-tuning projects using Pytorch/Jax.
• Hands-on experience and publications in building applications and evaluations related to AI agents such as tool-use, text2SQL, browser agents, coding agents and GUI agents.
• Hands-on experience with agent frameworks such as OpenHands, Swarm, LangGraph, etc.
• Familiarity with agentic reasoning methods such as STaR and PLANSEARCH
• Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment.

Benefits

• Comprehensive health, dental and vision coverage
• Retirement benefits
• A learning and development stipend
• Generous PTO
• Commuter stipend

Salary Range

$259,200-$324,000 USD

XML job scraping automation by YubHub

At Coinbase, our mission is to increase economic freedom in the world.

We're seeking a very specific candidate who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system.

As a Senior Software Engineer on the Echo team, you will solve unique, large scale, highly complex technical problems, bridging the constraints posed by web-scale applications and blockchain technology.

You will help build the next generation of systems to make cryptocurrency accessible to everyone across the globe, operating real-time applications with high frequency, low latency updates, and managing the most secure, dockerized infrastructure running in the cloud.

The Echo team is responsible for two innovative products in the capital formation space; Echo and Sonar.

We are a small team that operate as a startup within the larger org, and we’re committed to shipping impactful product at a fast pace.

Echo, our marketplace for private investments has facilitated over 300 deals and $150m invested since 2024, and Sonar - our public sales and compliance platform - enables customers to run their own token sales.

Our engineering team works across the whole stack and is empowered to take ownership of large projects.

What you'll be doing:

• Build new services to meet critical product and business needs using Golang.

• Design scalable systems to solve novel problems with modern cloud technology and industry best practices.

• Articulate a long term vision for maintaining and scaling our backend systems and the teams running them.

• Work with engineers, designers, product managers and senior leadership to turn our product and technical vision into a tangible roadmap every quarter.

• Write high quality, well tested code to meet the needs of your customers.

What we look for in you:

• You have at least 5 years of experience in software engineering.

• You’ve designed, built, scaled and maintained production services, and know how to compose a service oriented architecture.

• You write high quality, well tested code to meet the needs of your customers.

• You’re passionate about building an open financial system that brings the world together.

• Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human-in-the-loop practices to deliver business-ready outputs and drive measurable improvements in efficiency, cost, and quality.

Nice to haves:

• You have gone through a rapid growth in your company (from startup to mid-size).

• Experience with growth experiments or A/B testing frameworks.

• You have experience with Blockchain technology (such as Bitcoin, Ethereum etc..)

• You have experience decomposing a large monolith into microservices.

• You’ve worked with Golang, Ruby, Docker, Rails, Postgres, MongoDB or DynamoDB.

• You’ve built financial, high reliability or security systems.

Job #: (GB-CFBE05UK-Q126)

#LI-Remote

Pay Transparency Notice: The target annual base salary for this position can range as detailed below. Total compensation may also include equity and bonus eligibility and benefits (including medical, dental, and vision).

Annual base salary range (excluding equity and bonus):

£122,400-£136,000 GBP

XML job scraping automation by YubHub

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

XML job scraping automation by YubHub

Your responsibilities will include building and extending components of the core Databricks infrastructure, architecting multi-cloud systems and abstractions to allow the Databricks product to run on top of existing Cloud providers, improving software development workflows for engineering and operational efficiency, using our own data and AI platform to analyze build and test logs and metrics to identify areas for improvement, developing automated build, test, and release infrastructures, and setting and upholding the standard for engineering processes to support high-quality engineering.

To succeed in this role, you will need a BS (or higher) in Computer Science, or a related field, and 5+ years of experience writing production code in one of Java, Scala, Go, C++, or Python. You should also have passion for building highly scalable and reliable infrastructure, experience architecting, developing, and deploying large-scale distributed systems at scale, and experience with cloud APIs and cloud technologies such as AWS, Azure, GCP, Docker, Kubernetes, or Terraform.

In addition to a competitive salary, we offer comprehensive health coverage, 401(k) plan, equity awards, flexible time off, paid parental leave, family planning, gym reimbursement, annual personal development fund, work headphones reimbursement, employee assistance program, and business travel accident insurance.

XML job scraping automation by YubHub

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

XML job scraping automation by YubHub

Key responsibilities include:

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

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

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

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

XML job scraping automation by YubHub

You will love understanding a product in depth and be passionate about communicating its value to Customers and System Integrators. You will always be looking for new opportunities and be asked to grow within existing accounts.

Along with the chance to close an exciting deal, we also offer accelerators above 100% quota attainment.

Your impact will be:

• Meet with CIOs, IT executives, LOB executives, Program Managers, and other important partners
• Close both new accounts and existing accounts
• Identify and close quick, small wins while managing longer, complex sales cycles
• Exceed activity, pipeline, and revenue targets
• Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce
• Use a solution-based approach to selling and creating value for customers
• Promote Databricks' enterprise cloud data platform powered by Apache Spark™
• Ensure 100% satisfaction among all customers
• Prioritize opportunities and applying appropriate resources
• Build a plan for success internally at Databricks and externally with your accounts

We look for:

• You have previously worked in an early stage company and you know how to navigate and be successful
• Field sales experience within big data, Cloud, or SaaS sales
• Prior customer relationships with CIOs, program managers, and essential decision makers
• Simply articulate intricate cloud technologies
• 7+ years experience exceeding sales quotas
• Expertise with financial services institutions preferable
• Success closing new accounts while working existing accounts
• Understanding of Spark and big data preferable
• Passion for cloud technologies
• Bachelor's Degree

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 $272,000-$374,000 USD Zone 2 Pay Range $272,000-$374,000 USD Zone 3 Pay Range $272,000-$374,000 USD Zone 4 Pay Range $272,000-$374,000 USD

XML job scraping automation by YubHub

Daily data-driven experiments will provide key insights around model strengths and inefficiencies which you'll use to improve your product's performance. You'll own, plan, and optimize the AI behind our Enterprise customer's deepest technical problems, leveraging our Scale Generative Platform (SGP) to build the most advanced AI agents across the industry.

Responsibilities:

• Own, plan, and optimize the AI behind our Enterprise customer's deepest technical problems
• Leverage SGP to build the most advanced AI agents across the industry including multimodal functionality, tool-calling, and more
• Have experience gathering business requirements and translating them into technical solutions
• Meet regularly with customer teams onsite and virtually, collaborating cross-functionally with all teams responsible for their data and ML needs
• Push production code in multiple development environments, writing and debugging code directly in both our customer's and Scale's codebases.

Ideal candidate will have a love for solving deeply complex technical problems with ambiguity using state of the art research and AI to accomplish your client's business goals, a strong engineering background, deep familiarity with a data-driven approach when iterating on machine learning models, and experience working with cloud technology stack and developing machine learning models in a cloud environment.

Nice to have: strong knowledge of software engineering best practices, experience building applications taking advantage of Generative AI in real, production use cases, and familiarity with state of the art LLMs and their strengths/weaknesses.

XML job scraping automation by YubHub

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.

We're seeking a talented and experienced Software Full-Stack Engineer passionate about building high-quality, scalable web applications using modern frontend & backend technologies to build the next generation of our omnichannel Contact Center products.

Responsibilities

• Develop and maintain Dialpad's web applications using modern front-end and back-end technologies.
• Provide estimates on technical resources and requirements necessary to plan and begin projects.
• Take responsibility for executing projects in the omnichannel contact center communications space. Assist and drive, as needed, to ensure the team meets its delivery milestones.
• Develop well-tested features with appropriate test hooks, resulting in low defect reports and faster engineering throughput.
• Review technical designs to ensure features/products are well-integrated and fully meet business needs.
• Participate in code reviews, design discussions, and other team activities to ensure high-quality software delivery.
• Troubleshoot and debug issues with existing features, as needed.
• Stay up to date with the latest backend platform technologies and best practices, and contribute to the continuous improvement of our engineering processes and tools.
• Ensure features are shipped on time and to the highest quality standards.

Requirements

• 5+ years of strong experience in full-stack software engineering.
• Bachelor’s or Master’s degree in Computer Science or related field, or equivalent experience.
• Leverage AI Tools (Claude / Windsurf / Gemini) for development.
• Strong experience working with HTML/CSS, Vue.js, Typescript, Python, Java.
• Strong experience working with Cloud Technologies [Google Cloud Platform is a plus] and distributed technologies.
• Working knowledge of unit test and integration test frameworks.
• Good understanding of web technologies, RESTful APIs, and web application frameworks.
• Experience with performance and optimization problems and a demonstrated ability to both diagnose and prevent them.
• Strong debugging and troubleshooting skills.
• Strong communication and collaboration skills.
• Experience with highly agile and iterative development processes.

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

XML job scraping automation by YubHub

Some example experiences you'll create for our customers to achieve the full project lifecycle from loading data, visualizing results, creating statistical models, and deploying as production artifacts include:

• Simple workflows to create, configure, and manage large-scale compute clusters, networks and data sources.
• Create, deploy, test, and upgrade complex data pipelines with powerful features to visualize data graphs.
• Seamless onboarding and management for all members of an organisation to become data-driven.
• Provide a great SQL-centric data exploration and dashboarding experience on Databricks.
• An interactive environment for collaborative data projects at massive scale with an easy path to production.

We are looking for engineers with 5+ years of experience with HTML, CSS, and JavaScript, passion for user experience and design, and a deep understanding of front-end architecture. You should be comfortable working towards a multi-year vision with incremental deliverables, motivated by delivering customer value, and experienced with modern JavaScript frameworks and server-side web technologies.

XML job scraping automation by YubHub

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.

XML job scraping automation by YubHub

Daily data-driven experiments will provide key insights around model strengths and inefficiencies which you'll use to improve your product's performance. You'll own, plan, and optimize the AI behind our Enterprise customer's deepest technical problems, leveraging our Scale Generative Platform (SGP) to build the most advanced AI agents across the industry.

Responsibilities:

• Own, plan, and optimize the AI behind our Enterprise customer's deepest technical problems
• Leverage SGP to build the most advanced AI agents across the industry, including multimodal functionality, tool-calling, and more
• Have experience gathering business requirements and translating them into technical solutions
• Meet regularly with customer teams onsite and virtually, collaborating cross-functionally with all teams responsible for their data and ML needs
• Push production code in multiple development environments, writing and debugging code directly in both our customer's and Scale's codebases

Ideally, you'd have:

• A love for solving deeply complex technical problems with ambiguity using state of the art research and AI to accomplish your client's business goals
• Strong engineering background: a Bachelor’s degree in Computer Science, Mathematics, or another quantitative field or equivalent strong engineering background
• Deep familiarity with a data-driven approach when iterating on machine learning models and how changes in datasets can influence model results
• Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment
• Proficiency in Python to write, test and debug code using common libraries (ie numpy, pandas)

Nice to haves:

• Strong knowledge of software engineering best practices
• Have built applications taking advantage of Generative AI in real, production use cases
• Familiarity with state of the art LLMs and their strengths/weaknesses

XML job scraping automation by YubHub

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

XML job scraping automation by YubHub

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.

XML job scraping automation by YubHub

Your responsibilities will include presenting a territory plan within the first 90 days, meeting with CIOs, IT executives, LOB executives, program managers, and other important partners, closing both new accounts and existing accounts, identifying and closing quick, small wins while managing longer, complex sales cycles, exceeding activity, pipeline, and revenue targets, tracking all customer details, including use case, purchase time frames, next steps, and forecasting in Salesforce, using a solution-based approach to selling and creating value for customers, promoting Databricks' enterprise cloud data platform powered by Apache Spark, ensuring 100% satisfaction among all customers, prioritising opportunities and applying appropriate resources, and building a plan for success internally at Databricks and externally with your accounts.

To be successful in this role, you will need to have field sales experience within big data, Cloud, and SaaS sales, covering the Greater China territory, prior customer relationships with CIOs, program managers, and essential decision makers, the ability to simply articulate intricate cloud technologies, 7+ years of Enterprise Sales experience exceeding quotas, covering relevant accounts and industries, success in closing new accounts while working on existing accounts, understanding of Spark and big data, business proficiency in Mandarin, and experience in the GCR territory.

XML job scraping automation by YubHub

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.

XML job scraping automation by YubHub

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

XML job scraping automation by YubHub

Key responsibilities include:

• Meeting with CIOs, IT executives, LOB executives, Program Managers, and other important partners
• Closing both new accounts and existing accounts
• Identifying and closing quick, small wins while managing longer, complex sales cycles
• Exceeding activity, pipeline, and revenue targets
• Tracking all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce
• Using a solution-based approach to selling and creating value for customers
• Promoting Databricks' enterprise cloud data platform powered by Apache Spark
• Ensuring 100% satisfaction among all customers
• Prioritizing opportunities and applying appropriate resources
• Building a plan for success internally at Databricks and externally with your accounts

We are looking for someone with:

• Previous experience in an early-stage company and knowledge of how to navigate and be successful
• Field sales experience within big data, Cloud, or SaaS sales
• Experience managing large, complex Manufacturing accounts is preferred
• Prior customer relationships with CIOs, program managers, and essential decision makers
• Ability to simply articulate intricate cloud technologies
• 5+ years experience exceeding sales quotas
• Success closing new accounts while working existing accounts
• Understanding of Spark and big data preferable
• Passion for cloud technologies
• Bachelor's Degree

XML job scraping automation by YubHub

Responsibilities:

• Provide support for standard and custom deployments
• Answer break/fix and non-break/fix technical questions through SFDC ticketing system
• Efficiently reproduce reported issues by leveraging tools (minikube, minitrino, docker-compose, etc.), identify root causes, and provide solutions
• Open SEP and Galaxy bug reports in Jira and feature requests in Aha!

LTS Upgrades:

• Provide upgrade support upon customer request
• Customer must be on a supported LTS version at the time of request
• TSE must communicate unsupported LTS requests to the Account team as these require PS services

Monthly Technical check-ins

• Conduct regularly scheduled technical check-ins with each BU
• Discuss open support tickets, provide updates on product bugs and provide best practice recommendations based on your observations and ticket trends

• Responsible for ensuring customer environments are on supported LTS versions

Knowledge Sharing/Technical Enablement:

• Knowledge exchange and continued technical enablement are crucial for the development of our team and the customer experience
• It's essential that we keep our product expertise and documentation current and that all team members have access to information

• Contribute to our reference documentation
• Lead peer training
• Consultant to our content teams
• Own your personal technical education journey

Project Involvement

• Contribute to or drive components of departmental and cross-functional initiatives

Partner with Leadership

• Identify areas of opportunity with potential solutions for inefficiencies or obstacles within the team and cross-functionally
• Provide feedback to your manager on continued ed. opportunities, project ideas, etc.

Requirements

• 5+ years of support experience
• 3+ years of Big Data, Docker, Kubernetes and cloud technologies experience
• Ability to Travel: This role will require 25% in-person travel for purposes including but not limited to new hire onboarding, team and department offsites, customer engagements, and other company events

Skills

• Big Data (Hadoop, Data Lakes, Spark)
• Docker and Kubernetes
• Cloud technologies (AWS, Azure, GCP)
• Security - Authentication (LDAP, OAuth2.0) and Authorization technologies
• SSL/TLS
• Linux Skills
• DBMS Concepts/SQL Exposure Languages: SQL, Java, Python, Bash

XML job scraping automation by YubHub

Responsibilities:

• Provide support for standard and custom deployments
• Answer break/fix and non-break/fix technical questions through SFDC ticketing system
• Efficiently reproduce reported issues by leveraging tools (minikube, minitrino, docker-compose, etc.), identify root causes, and provide solutions
• Open SEP and Galaxy bug reports in Jira and feature requests in Aha!

LTS Upgrades:

• Provide upgrade support upon customer request
• Customer must be on a supported LTS version at the time of request
• TSE must communicate unsupported LTS requests to the Account team as these require PS services

Monthly Technical check-ins

• Conduct regularly scheduled technical check-ins with each BU
• Discuss open support tickets, provide updates on product bugs and provide best practice recommendations based on your observations and ticket trends

Knowledge Sharing/Technical Enablement:

• Knowledge exchange and continued technical enablement are crucial for the development of our team and the customer experience
• It's essential that we keep our product expertise and documentation current and that all team members have access to information

• Contribute to our reference documentation
• Lead peer training
• Consultant to our content teams
• Own your personal technical education journey

Project Involvement

• Contribute to or drive components of departmental and cross functional initiatives

Partner with Leadership

• Identify areas of opportunity with potential solutions for inefficiencies or obstacles within the team and cross-functionally
• Provide feedback to your manager on continued ed. opportunities, project ideas, etc.

Requirements

• 5+ years of support experience
• 3+ years of Big Data, Docker, Kubernetes and cloud technologies experience
• Ability to Travel: This role will require 25% in-person travel for purposes including but not limited to new hire onboarding, team and department offsites, customer engagements, and other company events.

XML job scraping automation by YubHub

You will know how to sell innovation and change through customer vision expansion and guide deals forward to compress decision cycles.

You will love understanding a product in-depth and be passionate about communicating its value to customers and partners.

You will always be prospecting for new opportunities and close new accounts.

Along with the chance to close exciting deals, we also offer accelerators above 100% quota accomplishment.

You will report to a regional sales manager.

Your impact will be to assess your accounts and develop a strategy to identify and engage all buying centers.

You will use a solution approach to selling and creating value for customers.

You will identify the most viable use cases in each account to maximize Databricks' impact.

You will orchestrate and work with teams to maximize the impact on your ecosystem.

You will build value with all engagements to promote successful negotiations to close point.

You will promote Databricks' enterprise cloud data platform powered by Apache Spark.

You will be customer-focused by delivering technical and business results using the Databricks Platform.

You will promote teamwork...it makes the dream work!

We look for someone who has previously worked in an early-stage company and knows how to navigate and be successful in a fast-growing organization.

You will have sales experience within big data, Cloud, or SaaS sales.

You will have prior customer relationships with CIOs and important decision-makers.

You will simply articulate intricate cloud technologies and big data.

You will have experience exceeding sales quotas.

You will have success closing new accounts while upselling existing accounts.

You will have 2+ years of full-cycle closing sales experience in SaaS/PaaS companies.

You will have a Bachelor's Degree.

XML job scraping automation by YubHub

Your responsibilities will include meeting with CIOs, IT executives, LOB executives, Program Managers, and other important partners, closing both new accounts and existing accounts, identifying and closing quick, small wins while managing longer, complex sales cycles, exceeding activity, pipeline, and revenue targets, tracking all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce, using a solution-based approach to selling and creating value for customers, promoting Databricks' enterprise cloud data platform powered by Apache Spark, ensuring 100% satisfaction among all customers, prioritizing opportunities and applying appropriate resources, and building a plan for success internally at Databricks and externally with your accounts.

We look for individuals who have previously worked in an early stage company and know how to navigate and be successful, have field sales experience within big data, Cloud, or SaaS sales, have experience managing large, complex Manufacturing accounts, have prior customer relationships with CIOs, program managers, and essential decision makers, can simply articulate intricate cloud technologies, have 5+ years experience exceeding sales quotas, have success closing new accounts while working existing accounts, and have an understanding of Spark and big data.

The pay range for this role is $167,100-$229,800 USD, and the total compensation package may also include eligibility for annual performance bonus, equity, and benefits.

XML job scraping automation by YubHub

XML job scraping automation by YubHub

As a primary driver of "Industrie 4.0," this organisation is a cornerstone of the German economy, transforming how the world manufactures, moves, and heals. Dual-headquartered in Munich and Berlin, this powerhouse employs nearly 300,000 people across a vast multi-divisional ecosystem.

The impact you'll have:

• You will be part of the large account team for this flagship account, driving sustained growth across consumption, expansion, and new business.

• You will consistently exceed growth targets by translating account strategy into clear, measurable commercial outcomes and disciplined execution.

• You will operate as a trusted C-suite advisor, influencing executive decisions and shaping enterprise-wide Data & AI transformation initiatives.

• You will identify, prioritise, and scale high-value AI use cases to deliver measurable business outcomes.

• You will drive partner-led growth, working closely with system integrators and strategic partners to increase deal momentum and customer impact.

• You will lead complex, multi-stakeholder negotiations, closing transformational agreements that strengthen the strategic partnership.

What we look for:

• Proven success selling advanced data, analytics, Big Data, AI, or complex cloud technology, closing complex, multi-stakeholder, multi-year enterprise agreements.

• A proven record of exceeding ambitious revenue goals in large, global enterprise accounts within the Industrial/Manufacturing vertical in Germany.

• Deep understanding of consumption-based growth models and how to scale strategic accounts from initial wins.

• Proficiency in structured sales methodologies (e.g., MEDDPICC, Value Selling).

• A history of building champion networks and leading cross-functional account teams around a clear strategy.

• Candidates with a consulting background who combine a strong sales profile with deep Industrial vertical expertise are encouraged to apply.

• Readiness to travel regularly within Germany and internationally to stay closely aligned with the customer.

• Fluency in German and English, with the gravitas to influence senior leaders up to C-level.

XML job scraping automation by YubHub

This involves writing software in Scala/Java, building data pipelines (Apache Spark, Apache Kafka), integrating with third-party applications, and interacting with cloud APIs (AWS, Azure, CloudFormation, Terraform).

You will be part of a team that builds highly technical products that fulfil real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security and scale that is critical to making customers successful on our platform.

Our engineering teams build one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day.

We run thousands of Kubernetes clusters across all regions and orchestrate millions of VMs on a daily basis.

Competencies:

• BS/MS/PhD in Computer Science, or a related field
• 10+ years of production level experience in one of: Java, Scala, C++, or similar language
• Comfortable working towards a multi-year vision with incremental deliverables
• Experience in architecting, developing, deploying, and operating large scale distributed systems
• Experience working on a SaaS platform or with Service-Oriented Architectures
• Good knowledge of SQL
• Experience with software security and systems that handle sensitive data
• Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, Kubernetes

XML job scraping automation by YubHub

You will love understanding a product in depth and be passionate about communicating its value to Customers and System Integrators. You will always be looking for new opportunities and be asked to grow within existing accounts.

Along with the chance to close an exciting deal, we also offer accelerators above 100% quota attainment.

The impact you will have:

• Meet with CIOs, IT executives, LOB executives, Program Managers, and other important partners
• Close both new accounts and existing accounts
• Identify and close quick, small wins while managing longer, complex sales cycles
• Exceed activity, pipeline, and revenue targets
• Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce
• Use a solution-based approach to selling and creating value for customers
• Promote Databricks' enterprise cloud data platform powered by Apache Spark
• Ensure 100% satisfaction among all customers
• Prioritize opportunities and applying appropriate resources
• Build a plan for success internally at Databricks and externally with your accounts

What we look for:

• You have previously worked in an early stage company and you know how to navigate and be successful
• Field sales experience within big data, Cloud, or SaaS sales
• Prior customer relationships with CIOs, program managers, and essential decision makers
• Simply articulate intricate cloud technologies
• 6+ years experience exceeding sales quotas
• Expertise with financial services institutions preferable
• Success closing new accounts while working existing accounts
• Understanding of Spark and big data preferable
• Passion for cloud technologies
• Bachelor's Degree

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.

XML job scraping automation by YubHub

Key Requirements:

• 6+ years of experience in field sales, preferably in big data, Cloud, or SaaS sales
• Prior customer relationships with CIOs, program managers, and essential decision makers
• Ability to simply articulate intricate cloud technologies
• Greenfield + Hunter Sales Experience
• Expertise with financial services institutions preferable
• Understanding of Spark and big data preferable
• Passion for cloud technologies

In addition to a competitive salary, you will also be eligible for annual performance bonus, equity, and comprehensive benefits and perks.

XML job scraping automation by YubHub

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:

• You will 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.

• You will 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

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

XML job scraping automation by YubHub

Key responsibilities include meeting with CIOs, IT executives, LOB executives, program managers, and other important partners, closing both new and existing accounts, identifying and closing quick, small wins while managing longer, complex sales cycles, exceeding activity, pipeline, and revenue targets, and tracking customer details using Salesforce.

To succeed in this role, you will need to have previously worked in an early-stage company, have field sales experience within big data, cloud, or SaaS sales, and have hunter (net-new logo) experience. You will also need to have prior customer relationships with CIOs, program managers, and essential decision-makers, be able to simply articulate intricate cloud technologies, and have 7+ years of experience exceeding sales quotas.

In exchange for your hard work, Databricks offers accelerators above 100% quota attainment, the chance to close exciting deals, and a comprehensive benefits package.

XML job scraping automation by YubHub

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:

• You will 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.

• You will 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

XML job scraping automation by YubHub

Your primary focus will be on strategic account expansion, driving growth by expanding relationships with our most important customers. You will strengthen and scale the team through high-impact hiring, hands-on coaching, and by fostering a culture built on collaboration, accountability, and results.

Key responsibilities include:

• Leveraging your business network to build a strong talent pipeline and hire top candidates as the team grows
• Creating a clear regional growth and investment plan within your first 90 days
• Building and sponsoring trusted relationships with customers and partners to drive long-term success in the region
• Ensuring accurate forecasting and creating a predictable, high-growth business
• Coaching your team to lead with a strong vision setting, methodology-based selling, and staying aligned to our customers' goals and outcomes
• Developing a solid understanding of our product's technical details and roadmap to earn trust with key stakeholders

We are looking for a proven people leader with 7+ years of experience leading high-performing Enterprise sales teams that sell into strategic global accounts in Germany. You should have a proven track record of developing high-performing teams in similar high-growth, Data, AI, Cloud, or SaaS/Tech companies, consistently exceeding ambitious sales goals.

The ideal candidate will have extensive knowledge of the Retail and CPG vertical, and proven relationships within these accounts. You should know how to spot and grow great talent, building teams that raise the bar through trust, accountability, and shared success.

Fluent in German and English is essential, and willing and able to travel to customer sites on a regular basis is required, as well as some international travel for internal meetings/events.

XML job scraping automation by YubHub

You will own critical components that form the backbone of our products, starting with Databricks' resource admission control and usage governance infrastructure. Your role is crucial in helping bring diverse business needs together, including abuse prevention, product commercialization motions, and reliable product availability at scale.

Key responsibilities include:

• Owning Money systems and services that govern usage of all Databricks products and offerings.
• Enhancing engineering and infrastructure efficiency, reliability, accuracy, and response times, including CI/CD processes, test frameworks, data quality assurance, end-to-end reconciliation, and anomaly detection.
• Collaborating with platform and product teams to develop and implement innovative infrastructure that scales to meet evolving needs.
• Contributing to long-term vision and requirements development for Databricks products, in partnership with our engineering teams.

We are looking for a candidate with a strong background in software engineering, preferably in Java, Scala, C++, or similar languages. You should have 7+ years of production-level experience and a proven track record in architecting, developing, deploying, and operating components of large-scale distributed systems.

If you are passionate about delivering high-quality solutions and have a proactive approach, we encourage you to apply for this exciting opportunity.

XML job scraping automation by YubHub

You will love understanding a product in depth and be passionate about communicating its value to customers and system integrators. You will always be looking for new opportunities and will be asked to close net new logos.

Along with the chance to close an exciting deal, we also offer accelerators above 100% quota attainment.

Your impact will be to:

• Meet with CIOs, IT executives, LOB executives, program managers, and other important partners
• Close both new accounts and existing accounts
• Identify and close quick, small wins while managing longer, complex sales cycles
• Exceed activity, pipeline, and revenue targets
• Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce
• Use a solution-based approach to selling and creating value for customers
• Promote Databricks' enterprise cloud data platform powered by Apache Spark
• Ensure 100% satisfaction among all customers
• Prioritize opportunities and apply appropriate resources
• Build a plan for success internally at Databricks and externally with your accounts

We look for:

• Previous experience in an early-stage company and knowledge of how to navigate and be successful
• Field sales experience within big data, cloud, or SaaS sales
• Hunter (net-new logo) experience
• Prior customer relationships with CIOs, program managers, and essential decision-makers
• Ability to simply articulate intricate cloud technologies
• 7+ years of experience exceeding sales quotas
• Success in closing new accounts while working existing accounts
• Understanding of Spark and big data is preferable
• Passion for cloud technologies
• Bachelor's degree

XML job scraping automation by YubHub

The ideal candidate has a track record of exceeding revenue goals, of leading sales professionals to be their best selves, and is comfortable in a complex, technical sales environment.

Key responsibilities include:

• Drive revenue success: Own and exceed quarterly/annual sales targets.
• Build and implement strategic plans: Develop and execute evolving revenue plans and growth tactics.
• Build and manage the team: Hire, manage, and motivate a growing team of sales executives; coach each member via joint selling and regular pipeline reviews.
• Build trust-based relationships: Develop long-term relationships with employees, partners, and cross-functional teams.
• Distill customer needs and value: Enable your team to understand customer goals and how they relate to the Databricks value proposition.
• Manage the front-line voice of Databricks: Lead your team to effectively communicate the value proposition through proposals and presentations.

We look for candidates with 10+ years of successful, progressive experience in enterprise software sales, including Director-level experience at a reputable organization, ideally within Financial Services. In-depth knowledge of how software is positioned and sold to IT and/or Data executives, ideally within the insurance, wealth & asset management verticals, is also required.

XML job scraping automation by YubHub

Your key responsibilities will include:

• Meeting with CIOs, IT executives, LOB executives, Program Managers, and other important partners
• Closing both new accounts and existing accounts
• Identifying and closing quick, small wins while managing longer, complex sales cycles
• Exceeding activity, pipeline, and revenue targets
• Tracking all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce
• Using a solution-based approach to selling and creating value for customers
• Promoting Databricks' enterprise cloud data platform powered by Apache Spark
• Ensuring 100% satisfaction among all customers
• Prioritizing opportunities and applying appropriate resources
• Building a plan for success internally at Databricks and externally with your accounts

To succeed in this role, you will need to have:

• 7+ years of experience exceeding sales quotas
• Field sales experience within big data, Cloud, or SaaS sales
• Experience managing large, complex Life Sciences accounts is preferred
• Prior customer relationships with CIOs, program managers, and essential decision makers
• The ability to simply articulate intricate cloud technologies
• A passion for cloud technologies
• A Bachelor's Degree

In addition to a competitive salary, you will also be eligible for annual performance bonus, equity, and benefits.

XML job scraping automation by YubHub

As a software engineer with a backend focus, you will work closely with your team and product management to prioritise, design, implement, test, and operate micro-services for the Databricks platform and product. This implies, among others, writing software in Scala/Java, building data pipelines (Apache Spark, Apache Kafka), integrating with third-party applications, and interacting with cloud APIs (AWS, Azure, CloudFormation, Terraform).

Some example teams you can join include:

Data Science and Machine Learning Infrastructure: Build services and infrastructure at the intersection of machine learning and distributed systems. Compute Fabric: Build the resource management infrastructure powering all the big data and machine learning workloads on the Databricks platform in a robust, flexible, secure, and cloud-agnostic way. Data Plane Storage: Deliver reliable and high-performance services and client libraries for storing and accessing humongous amounts of data on cloud storage backends, e.g., AWS S3, Azure Blob Store. Enterprise Platform: Offer a simple and powerful experience for onboarding and managing all of their data teams across 10ks of users on the Databricks platform. Observability: Provide a world-class platform for Databricks engineers to comprehensively observe and introspect their applications and services. Service Platform: Build high-quality services and manage the services in all environments in a unified way. Core Infra: Build the core infrastructure that powers Databricks, making it available across all geographic regions and Cloud providers.

The ideal candidate will have:

• BS/MS/PhD in Computer Science, or a related field
• 10+ years of production-level experience in one of: Java, Scala, C++, or similar language
• Comfortable working towards a multi-year vision with incremental deliverables
• Experience in architecting, developing, deploying, and operating large-scale distributed systems
• Experience working on a SaaS platform or with Service-Oriented Architectures
• Good knowledge of SQL
• Experience with software security and systems that handle sensitive data
• Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, Kubernetes

XML job scraping automation by YubHub

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:

• You will 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.

• You will 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

XML job scraping automation by YubHub

As a Manager, Software Engineering, you will be responsible for demonstrating end-to-end outcome ownership of a major system within an integrated product, and the team responsible for building and maintaining it. You will contribute as a team lead to the rapid architecting, design, delivery, support, and evolution of next-generation autonomous platforms through their entire product life-cycle.

Key responsibilities include:

• Empathizing with end-users and driving solutions that balance their needs with external constraints, restrictions, and requirements in a multi-stakeholder environment
• Being accountable for software-enabled solutions that are deployed to customers, optimizing for the delivery of value to the end-user
• Collaborating with your Technical Lead to architect scalable software that rapidly delivers capability beyond the scope of current platforms, with a clear path for both architecture and capability evolution over time
• Coordinating your team's roadmap and execution with other teams across Anduril, with the aim of developing components that are reusable across multiple Anduril product lines
• Contributing to the design, implementation, and execution of development processes for the initial delivery and subsequent iteration of vehicle and mission software, including full lifecycle testing, monitoring, and operation
• Managing a 6-18 month roadmap for your team, nested within broader organisational roadmap
• Managing an allocated budget for your team
• Managing programmatic risk for your team, and collaborating with your Technical Lead to manage technical risk, including sound and timely decision making
• Leading by example as a technically competent, trustworthy, and accountable team lead
• Communicating organisational vision, strategy, and direction to your team
• Defining, documenting, gaining consensus for, and communicating appropriate goals and plans for your team, derived from broader organisational vision, strategy, and priorities
• Building your team through mentoring, professional development, career management, and collaboration with Anduril's recruiting and people functions
• Working as a leader of a multi-disciplinary engineering team of 4-10 members, including as a mentor and manager for Engineers from differing backgrounds
• Reporting to a manager who may or may not have a background in software engineering
• Traveling to co-locate with end-users and/or other teams up to 20% of the time

XML job scraping automation by YubHub

Key Responsibilities:

• Design and develop large-scale distributed systems using Java, Scala, or C++
• Develop and maintain high-quality code that meets the requirements of the project
• Collaborate with cross-functional teams to identify and prioritize project requirements
• Troubleshoot and resolve complex technical issues
• Stay up-to-date with industry trends and emerging technologies

Requirements:

• Bachelor's degree in Computer Science or related field
• 5+ years of experience in software development
• Strong foundation in algorithms and data structures
• Experience with cloud technologies, such as AWS, Azure, or GCP
• Experience with security and systems that handle sensitive data
• Good knowledge of SQL

Preferred Qualifications:

• Master's degree in Computer Science or related field
• Experience with big data technologies, such as Hadoop or Spark
• Experience with containerization, such as Docker
• Experience with DevOps practices, such as continuous integration and delivery

Pay Range Transparency The pay range for this role is $146,200-$201,100 CAD per year, depending on experience and qualifications.

XML job scraping automation by YubHub

Key responsibilities include: Meeting with CIOs, IT executives, LOB executives, Program Managers, and other important partners Closing both new accounts and existing accounts Identifying and closing quick, small wins while managing longer, complex sales cycles Exceeding activity, pipeline, and revenue targets Tracking all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce Using a solution-based approach to selling and creating value for customers Promoting Databricks' enterprise cloud data platform powered by Apache Spark™ Ensuring 100% satisfaction among all customers Prioritising opportunities and applying appropriate resources Building a plan for success internally at Databricks and externally with your accounts

We are looking for someone with: Previous experience in an early stage company and knowledge of how to navigate and be successful Field sales experience within big data, Cloud, or SaaS sales Experience managing large, complex Healthcare accounts is preferred Prior customer relationships with CIOs, program managers, and essential decision makers The ability to simply articulate intricate cloud technologies 7+ years experience exceeding sales quotas Success closing new accounts while working existing accounts Understanding of Spark and big data preferable Passion for cloud technologies Bachelor's Degree

The pay range for this role is $272,000-$374,000 USD, and the total compensation package may also include eligibility for annual performance bonus, equity, and benefits.

XML job scraping automation by YubHub

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 hands-on 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:

• 9+ 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 Apache Spark runtime internals
• Familiarity with CI/CD for production deployments
• Working knowledge of MLOps
• Capable of design and deployment of highly 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.
• Experience in building scalable streaming and batch solutions using cloud-native components
• Travel to customers up to 20% of the time

Nice to have:

• Databricks Certification

XML job scraping automation by YubHub

Your key responsibilities will include:

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

You will report to the Director of Enterprise Sales and will be expected to engage with customers in Mandarin/Cantonese to conduct technical and business discussions, address sales challenges, and present clear value propositions and outcomes.

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

• Field sales experience within big data, Cloud, and SaaS sales, covering Greater China territory
• Prior customer relationships with CIOs, program managers, and essential decision makers
• The ability to simply articulate intricate cloud technologies
• 7+ years of Enterprise Sales experience exceeding quotas, covering relevant accounts and industries
• Success in closing new accounts while working on existing accounts
• Understanding of Spark and big data is preferable
• Business proficiency in Mandarin/Cantonese and experience in the GCR territory are 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 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.

XML job scraping automation by YubHub

Your role is crucial in helping bring diverse business needs together, including abuse prevention, product commercialisation motions, and reliable product availability at scale. You will work closely with infrastructure as well as product teams in bringing critical governance functionality to Databricks customers.

Responsibilities:

• Own Money systems and services that govern usage of all Databricks products and offerings.
• Enhance engineering and infrastructure efficiency, reliability, accuracy, and response times, including CI/CD processes, test frameworks, data quality assurance, end-to-end reconciliation, and anomaly detection.
• Collaborate with platform and product teams to develop and implement innovative infrastructure that scales to meet evolving needs.
• Provide leadership in long-term vision and requirements development for Databricks products, in partnership with our engineering teams.
• Represent Databricks at academic and industrial conferences & events.

Requirements:

• BS/MS/PhD in Computer Science, or a related field
• 12+ years of production level experience in one of: Java, Scala, C++, or similar language.
• Comfortable working towards a multi-year vision with incremental deliverables.
• Proven track record in architecting, developing, deploying, and operating large scale distributed systems.
• Experience with software security and systems that handle sensitive data.
• Demonstrated leadership skills and the ability to lead across functional and organizational boundaries.
• A proactive approach and a passion for delivering high-quality solutions.
• Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, Kubernetes.

XML job scraping automation by YubHub

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

You will report to the regional Manager/Lead.

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

XML job scraping automation by YubHub

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. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code.

As a Senior Solutions Engineering Manager, you will be responsible for managing a cross-functional team of Solutions Engineers who work with Sales to grow our account base. The team partners with Enterprise Named teams, Customer Success, and Partner organisations to provide the value of Cloudflare products to customers and prospects.

Responsibilities

• Manage a team of Solutions Engineers who are geographically distributed in the US East Enterprise Named region.
• Work with Sales to grow our account base.
• Partner with Enterprise Named teams, Customer Success, and Partner organisations to provide the value of Cloudflare products to customers and prospects.

Requirements

• 8+ years of relevant experience with a Bachelor’s Degree in Computer Science, Engineering, Management Information Systems or another related field or its equivalent.
• 5+ years of experience with internet technologies / protocols and / or cloud technologies.
• Minimum 3 year of team lead/team management experience.
• Experience managing opportunity sales cycles and identifying technical proof activities.
• Demonstrated operations and organisation skills implementation and driving best practices with cross-functional organisations.

Benefits

• Estimated annual salary of $233,000 - $285,000 for New York City, Washington D.C. and Seattle based hires.
• Equity participation in Cloudflare’s equity plan.
• Comprehensive benefits package, including health and welfare benefits, financial benefits, and time off.

What Makes Cloudflare Special?

• We are a highly ambitious, large-scale technology company with a soul.
• We are committed to protecting the free and open Internet.
• We have a strong culture of innovation and collaboration.

If you are passionate about technology and people, and have the ability to explain complex technical concepts in easy-to-understand terms, we would love to hear from you!

XML job scraping automation by YubHub

As a Senior Software Engineer, you will be responsible for exploring, shaping, and developing new product experiences alongside cross-functional partners (design and product); from ideation to implementation at scale.

You will build efficient and reusable backend capabilities, with high quality, while making sure to maintain performance and scalable systems.

Lead initiatives that measurably improve Guest and Host experience by improving app responsiveness, scale efficiently and reliability across key backend paths that impact millions.

Drive a performance roadmap: identifying bottlenecks, prioritizing work by impact, and delivering improvements across services, data access patterns, and infrastructure.

Raise the bar on performance engineering by building tooling, benchmarks, and guardrails that prevent regressions and make performance a first-class part of how teams ship.

Influence architecture and standards across Airbnb’s backend ecosystem, making systems more observable, more efficient, and easier to evolve.

Millions of users across the world engage with the Airbnb app in multiple languages every day. As an engineer on the App Foundation team, you would be critical to the continued success and broad appeal of Airbnb.

In this role, you will have an opportunity to:

Work collaboratively in cross-functional teams with design, product and data science partners, to define and ship impactful features.

Propose architectural patterns of a high-scale applications, such as well-designed APIs, data pipelines and efficient algorithms

Writing unit and integration tests, reviewing other’s code

Review service-level performance metrics and triage anomalies or regressions.

Profile and debug performance issues across service boundaries and implement fixes (e.g., query optimization, caching strategies, concurrency improvements, payload reduction).

Partner with engineers across teams to improve critical request flows - aligning on SLOs, rollout plans, and measurement strategies.

Participate in code reviews and architecture discussions with a performance lens, helping teams ship changes safely and efficiently

Document learnings and create playbooks so performance improvements scale beyond a single service or team.

Your Expertise:

5+ years of software development experience

Strong expertise in one or more back-end server languages (Java/Kotlin/C++/etc.)

Experience in building and scaling high-quality and high-traffic products (or systems) in a distributed manner.

Deep backend expertise, including proficiency with databases, cloud technologies, and asynchronous messaging systems.

End-to-end ownership mentality that transcends team boundaries.

Passion for building strong collaborative relationships with other engineering & product partners

Want to tackle projects with large open-ended scope and drive significant business impact

Able to self-serve on data analysis and make data driven decisions

Rigorous attention to detail and the ability to tackle ambiguous problems

Embrace the ever-changing culture, prioritize breadth over depth but can still go in-depth when needed.

XML job scraping automation by YubHub

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

XML job scraping automation by YubHub

Key responsibilities include:

• Meeting with CIOs, IT executives, LOB executives, program managers, and other important partners
• Closing both new accounts and existing accounts
• Identifying and closing quick, small wins while managing longer, complex sales cycles
• Exceeding activity, pipeline, and revenue targets
• Tracking all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce
• Using a solution-based approach to selling and creating value for customers
• Promoting Databricks' enterprise cloud data platform powered by Apache Spark™
• Ensuring 100% satisfaction among all customers
• Prioritising opportunities and applying appropriate resources
• Building a plan for success internally at Databricks and externally with your accounts

Requirements include:

• Previous experience in an early-stage company
• Field sales experience within big data, Cloud, or SaaS sales
• Prior customer relationships with CIOs, program managers, and essential decision makers
• Ability to simply articulate intricate cloud technologies
• 7+ years experience exceeding sales quotas
• Expertise with financial services institutions preferable
• Success closing new accounts while working existing accounts
• Understanding of Spark and big data preferable
• Passion for cloud technologies
• Bachelor's Degree

XML job scraping automation by YubHub

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.

Key responsibilities include:

• Working 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

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

• Guiding 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

• Consulting on architecture and design; bootstrapping or implementing customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks

• Providing an escalated level of support for customer operational issues

• Working 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

• Working 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

• Strong expertise in data warehousing concepts, architecture, and migration strategies

• Comfortable writing code in either Python, Pyspark 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

• Data Science expertise is a nice-to-have

• Travel to customers 10-20% of the time

• Databricks Certification

XML job scraping automation by YubHub

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:

• You will 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.

• You will 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

XML job scraping automation by YubHub

This implies, among others, writing software in Scala/Java, building data pipelines (Apache Spark, Apache Kafka), integrating with third-party applications, and interacting with cloud APIs (AWS, Azure, CloudFormation, Terraform).

You will be part of one of the following teams:

Data Science and Machine Learning Infrastructure: Build services and infrastructure at the intersection of machine learning and distributed systems. Compute Fabric: Build the resource management infrastructure powering all the big data and machine learning workloads on the Databricks platform in a robust, flexible, secure, and cloud-agnostic way. Data Plane Storage: Deliver reliable and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, Azure Blob Store. Enterprise Platform: Offer a simple and powerful experience for onboarding and managing all of their data teams across 10ks of users on the Databricks platform. Observability: Provide a world class platform for Databricks engineers to comprehensively observe and introspect their applications and services. Service Platform: Build high-quality services and manage the services in all environments in a unified way. Core Infra: Build the core infrastructure that powers Databricks, making it available across all geographic regions and Cloud providers.

XML job scraping automation by YubHub

The ideal candidate has a track record of exceeding revenue goals, leading sales professionals to be their best selves, and is comfortable in a complex, technical sales environment.

Key responsibilities include:

• Drive revenue success: Own and exceed quarterly/annual sales targets.
• Build and implement strategic plans: Develop and execute evolving revenue plans and growth tactics.
• Build and manage the team: Hire, manage, and motivate a growing team of sales executives; coach each member via joint selling and regular pipeline reviews.
• Build trust-based relationships: Develop long-term relationships with employees, partners, and cross-functional teams.
• Distill customer needs and value: Enable your team to understand customer goals and how they relate to the Databricks value proposition.
• Manage the front-line voice of Databricks: Lead your team to effectively communicate the value proposition through proposals and presentations.

Requirements include:

• 10+ years of successful, progressive experience in enterprise software sales, including Director-level experience at a reputable organization, ideally within Financial Services.
• In-depth knowledge of how software is positioned and sold to IT and/or Data executives, ideally within the insurance, wealth & asset management verticals.
• Strong track record of exceeding company sales quotas in a complex sales environment.
• A background in hiring, leading, and retaining high-performing account executives.
• Proven experience with teaching, coaching, and training sales methodologies.
• Excellent C-level communication skills.
• Proven leadership ability to influence, develop, and empower employees to achieve objectives.
• Contract negotiation and deal forecasting experience.
• Strong written, verbal, presentation, and organizational skills required, with the ability to articulate and evangelize the value of Databricks solutions.
• Passionate about Big Data, AI, Spark, and cloud technologies.
• Willingness to travel as needed within the Northeast/New England region.
• Bachelor’s Degree required.

XML job scraping automation by YubHub

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:

• You will 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.
• You will 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

XML job scraping automation by YubHub

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:

• 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:

• US Top Secret Clearance Required this position

• 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

• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience

• Ability to travel up to 30% when needed

XML job scraping automation by YubHub

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

XML job scraping automation by YubHub

As a software engineer with a backend focus, you will work closely with your team and product management to prioritize, design, implement, test, and operate micro-services for the Databricks platform and product. This implies, among others, writing software in Scala/Java, building data pipelines (Apache Spark™, Apache Kafka), integrating with third-party applications, and interacting with cloud APIs (AWS, Azure, CloudFormation, Terraform).

Some example teams you can join:

Data Science and Machine Learning Infrastructure: Build services and infrastructure at the intersection of machine learning and distributed systems. Compute Fabric: Build the resource management infrastructure powering all the big data and machine learning workloads on the Databricks platform in a robust, flexible, secure, and cloud-agnostic way. Data Plane Storage: Deliver reliable and high-performance services and client libraries for storing and accessing humongous amounts of data on cloud storage backends, e.g., AWS S3, Azure Blob Store. Enterprise Platform: Offer a simple and powerful experience for onboarding and managing all of their data teams across 10ks of users on the Databricks platform. Observability: Provide a world-class platform for Databricks engineers to comprehensively observe and introspect their applications and services. Service Platform: Build high-quality services and manage the services in all environments in a unified way. Core Infra: Build the core infrastructure that powers Databricks, making it available across all geographic regions and Cloud providers.

Competencies:

BS/MS/PhD in Computer Science, or a related field 10+ years of production-level experience in one of: Java, Scala, C++, or similar language Comfortable working towards a multi-year vision with incremental deliverables Experience in architecting, developing, deploying, and operating large-scale distributed systems Experience working on a SaaS platform or with Service-Oriented Architectures Good knowledge of SQL Experience with software security and systems that handle sensitive data Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, Kubernetes.

Pay Range Transparency: 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.

XML job scraping automation by YubHub

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

XML job scraping automation by YubHub

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

XML job scraping automation by YubHub

Your mission will be to help further build our India business, driving growth through strategic and innovative partnerships with our customers. You will assess your existing customers and develop a strategy to identify and engage all buying centres.

Using a solution approach to selling and creating value for customers, you will identify the most viable use cases in each account to maximise Databricks' impact. You will orchestrate and work with teams to maximise the impact of the Databricks ecosystem on your territory.

You will close new accounts while growing our business in existing accounts. You will promote the Databricks enterprise cloud data platform and be customer-focused by delivering technical and business results using the Databricks Data Intelligence Platform.

Key responsibilities include:

• Prospecting for new customers
• Assessing existing customers and developing a strategy to identify and engage all buying centres
• Using a solution approach to selling and creating value for customers
• Identifying the most viable use cases in each account to maximise Databricks' impact
• Orchestrating and working with teams to maximise the impact of the Databricks ecosystem on your territory
• Building value with all engagements to promote successful negotiations and close

Requirements include:

• 5+ years of sales experience in SaaS/PaaS, or Big Data companies
• Prior customer relationships with CIOs and important decision-makers
• Ability to simply articulate intricate cloud technologies and big data
• 3+ years of experience exceeding sales quotas
• Success closing new accounts while upselling existing accounts

Benefits include:

• Comprehensive benefits and perks that meet the needs of all employees
• A commitment to diversity and inclusion, ensuring 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.

XML job scraping automation by YubHub

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:

• 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

• 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

What we look for:

• Extensive 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 10% of the time

• [Preferred] Databricks Certification but not essential

XML job scraping automation by YubHub

As an Enterprise Account Executive reporting to the Regional Sales Director, you will have experience selling in the Enterprise segment. Your informed point of view on Big Data and Advanced Analytics will guide your successful sales strategy together with our teams and partners, allowing you to provide value to our biggest and most valued customers.

Key responsibilities include:

• Evangelising Databricks' Unified Analytics Platform powered by Spark and launching the Databricks brand in Enterprise Accounts across all industries
• Prospecting, identifying and sourcing new sales opportunities, building pipeline individually and with the Databricks SDR team
• Engaging with business and technical decision-makers and leading them through the evaluation and buying process
• Exceeding individual activity, pipeline, and annual revenue targets
• Engaging with and driving business through local partners (technology partners, ISVs, SIs, and GSIs)
• Driving customer success and upselling existing customers
• Creating a Territory Strategy across all industries

Requirements include:

• 5+ years of experience selling SaaS solutions to Enterprise customers in ASEAN region
• Proven success in Enterprise Sales roles, ideally in big data, Cloud, or SaaS technology
• Demonstrable experience in selling innovation, ideally in big data, Cloud, or SaaS technology
• Solution and business-outcomes-focused sales approach
• Ability to simply articulate intricate cloud & big data technologies and their business value for the customer

XML job scraping automation by YubHub

As a Senior Big Data Solutions Architect (Sr Resident Solutions Architect) in our Professional Services team, you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks platform.

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 hands-on projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.

• Provide an escalated level of support for customer operational issues.

• You will 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:

• 9+ 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 Apache Spark™ runtime internals

• Familiarity with CI/CD for production deployments

• Working knowledge of MLOps

• Capable of design and deployment of highly 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.

• Experience in building scalable streaming and batch solutions using cloud-native components

• Travel to customers up to 20% of the time

Nice to have: 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

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.

XML job scraping automation by YubHub

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

XML job scraping automation by YubHub

You will play a key leadership role at the intersection of technology and business, helping the team design value-focused solutions and support growth through effective collaboration with Sales and other partners.

You will coach your team to communicate complex ideas clearly and accessibly, supporting strategic sales cycles, and building strong partnerships with customers and stakeholders across large organisations.

The impact you will have:

• Lead, mentor, and develop an inclusive pre-sales team in Denmark, supporting both performance and long-term career growth.

• Foster a collaborative culture that reflects Databricks' values of customer focus, teamwork, and diversity of thought.

• Partner with Sales to drive solution- and value-based selling, helping customers understand the business impact of our platform.

• Enhance team effectiveness by establishing and iterating on best practices that improve efficiency and focus on meaningful business outcomes.

• Build trusted relationships with customer executives and strategic partners, acting as a credible advisor on data, analytics, and AI.

• Collaborate across teams,including Marketing, Sales, Product, and Services,to ensure a seamless customer experience and successful implementation.

• Represent Databricks as part of the regional leadership team and contribute to building our brand and presence in Nordic markets.

What we're looking for:

• Experience managing or leading technical teams in Big Data, Cloud, SaaS, or similarly complex technology environments, or equivalent experience that shows you can quickly learn new technologies.

• A track record of leading, mentoring, and scaling pre-sales, consulting, or technical field organisations, with an emphasis on coaching and inclusive leadership.

• Understanding of consumption-based or subscription business models and how technical decisions influence commercial outcomes.

• Ability to collaborate effectively with Sales and other cross-functional leaders, balancing customer value, technical feasibility, and business priorities.

• Strong communication and interpersonal skills, with fluency in English required and Danish preferable.

• Technical background in Data Engineering, Databases, Data Science, or adjacent fields; consulting or customer-facing experience is an advantage.

• Curiosity and passion for data, AI, and cloud technologies, and the ability to articulate their business value in clear, inclusive language.

Notes:

• This will be a 'Remote Contract' with no formal Databricks office currently in Denmark. However the team do meet weekly/bi-weekly to meet in a coworking space in Copenhagen.

• If you need any adjustments or accommodations during the application or interview process, please let us know so we can support you.

XML job scraping automation by YubHub

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

XML job scraping automation by YubHub

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

XML job scraping automation by YubHub

XML job scraping automation by YubHub

As a member of our legal team, you will be instrumental in supporting our regional MENA business in drafting our contracts, agreements and terms to enable deal making and revenue generation. You will also drive contracts negotiations and help contracts adaptation to the evolving AI regulation and compliance.

The role reports into our Director, commercial legal affairs based in Paris. The legal team currently comprises 25 persons across Paris, London, Singapore and Palo Alto, covering a spectrum of competences across regulatory, IP, contracts and corporate.

Key responsibilities include:

• Drafting, updating and providing strategic advice on a wide range of contracts, including but not limited to AI-related service agreements.
• Negotiating such contracts with suppliers, partners, customers and other stakeholders.
• Staying updated on the latest products and AI-related legal and regulatory developments, including when coming from customers' fields, and providing guidance to their translation into contract adaptation and negotiation.
• Providing training and support to the business on legal and compliance matters related to AI, and on contract negotiation.
• Helping on other legal topics as needed (labour law, corporate, competition law, etc.).

About you:

• Master degree in law, a bar admission is a plus, as well as an experience in a fast-growing environment.
• A minimum of 10 years of relevant legal experience, in a related technology or AI-focused environment involving contract negotiations.
• Several years of experience working for KSA and UAE, with numerous deals done in each countries, a solid knowledge of the regional framework of the relevant area of law (data privacy, IP, contract law, liability, compliance, export controls) and a mastery of the regional do and don'ts of doing business in the region.
• Successful track record dealing with Public Sector & Semi Government clients
• Contracts negotiation experience implying complex technologies, especially both cloud and on-prem, impacting legal terms, and ability to understand legal implications
• Understanding of artificial intelligence technologies and their applications is essential
• Good knowledge of the relevant area of law, such as data privacy, intellectual property, contract law and liability, regulatory and compliance
• Ability to analyze complex legal and technical issues related to AI and to identify potential legal risks and solutions is important
• Excellent written and verbal communication; Strong ability to present complex legal concepts in a clear and understandable manner

XML job scraping automation by YubHub

Cyngn is a publicly-traded autonomous technology company that deploys self-driving industrial vehicles to factories, warehouses, and other facilities throughout North America.

We are a welcoming, diverse team of sharp thinkers and kind humans. Collaboration and trust drive our creative environment. At Cyngn, everyone's perspective matters,and that's what powers our innovation.

About this Role

As the Staff Software Engineer for our SaaS platform team, you will be crucial in developing Cyngn's cutting-edge fleet management system for autonomous industrial vehicles. You'll collaborate with product and engineering teams to design, implement, deploy, and maintain a robust cloud-based solution that enables real-time control and monitoring of autonomous vehicles in the field.

Responsibilities

• Architect and lead the development of a sophisticated, cloud-native fleet management system capable of real-time control and monitoring of numerous autonomous vehicles
• Design and implement scalable, distributed systems that can handle high-volume, real-time data processing and decision-making
• Develop robust APIs and microservices to support integration with various autonomous vehicle platforms and customer systems
• Create efficient algorithms for route optimization, task scheduling, and resource allocation across vehicle fleets
• Implement advanced data analytics and machine learning capabilities to provide predictive maintenance, performance optimization, and business intelligence features
• Ensure system reliability, security, and compliance with industry standards and regulations
• Lead a team of skilled engineers, fostering a culture of innovation, code quality, and continuous improvement
• Collaborate with product managers, UX designers, and customers to translate business requirements into technical solutions
• Mentor junior developers and contribute to the technical growth of the engineering team
• Participate in the entire software development lifecycle, from concept and design to testing, deployment, and maintenance
• Engage with customers to understand their needs and translate them into technical requirements

Who You Are

• 10+ years of software development experience, with a strong focus on backend systems and distributed architectures
• Extensive experience in building and scaling cloud-native SaaS platforms, preferably in the IoT or robotics domains
• Expert-level proficiency in at least one of Python, Go, Java, or C++, with working knowledge of others
• Deep understanding of cloud technologies and services (AWS, Azure, or GCP)
• Proven experience with event-driven architectures and message queuing systems (e.g., Kafka, RabbitMQ, Apache Pulsar)
• Strong background in database design and optimization, including both SQL and NoSQL solutions
• Proficiency in developing scalable WebSocket-based real-time communication systems
• Expertise in developing real-time data processing pipelines and analytics systems
• Proficiency with containerization and orchestration technologies (Docker, Kubernetes)
• Experience with infrastructure-as-code and CI/CD practices (e.g., Terraform, GitOps)
• Track record of leading development teams and mentoring junior developers
• Excellent problem-solving skills and ability to optimize complex systems
• Strong communication skills and ability to explain technical concepts to non-technical stakeholders
• Strong collaboration skills with a low ego

Nice to Have

• Experience with IoT platforms, robotics frameworks (e.g., ROS), or autonomous vehicle technologies
• Solid understanding of network protocols and communication standards relevant to IoT and autonomous systems
• Knowledge of AMQP, MQTT, DDS, or other IoT-specific communication protocols
• Experience with time-series databases (e.g., InfluxDB, TimescaleDB) for handling large volumes of sensor data
• Familiarity with edge computing and fog architectures
• Experience with real-time operating systems and embedded software development
• Expertise in building and maintaining scalable API platforms
• Experience with geospatial data processing and mapping technologies
• Knowledge of fleet management software and vehicle telematics systems
• Experience with simulation environments for autonomous systems testing

Benefits & Perks

• Health benefits (Medical, Dental, Vision, HSA and FSA (Health & Dependent Daycare), Employee Assistance Program, 1:1 Health Concierge)
• Life, Short-term, and long-term disability insurance (Cyngn funds 100% of premiums)
• Company 401(k)
• Commuter Benefits
• Flexible vacation policy
• Remote or hybrid work opportunities
• Sabbatical leave opportunity after five years with the company
• Paid Parental Leave
• Daily lunches for in-office employees
• Monthly meal and tech allowances for remote employees

XML job scraping automation by YubHub

Key Responsibilities

• Design, develop, and implement Appian applications using Appian SAIL, integrations, and best practices.
• Write, optimize, and debug database queries and design scalable database solutions.
• Develop and test APIs for seamless system integration.
• Implement and maintain CI/CD pipelines following DevOps methodologies.
• Integrate Appian applications with GCP cloud services using APIs and other integration approaches.
• Work with Oracle SQL, PostgreSQL, MariaDB, and other database technologies to develop robust solutions.
• Contribute to cloud adoption initiatives involving GCP or AWS.
• Support applications at both platform and application levels.
• Design and develop integrations with third-party systems.
• Work collaboratively in Agile Scrum teams; utilize tools like JIRA for tracking and delivery.
• Provide technical guidance and mentorship to junior developers.
• Collaborate with stakeholders across global teams with strong communication, documentation, and presentation skills.
• Use common shell commands and scripting for automation or troubleshooting.

Requirements

• 6+ years of strong technical experience with Appian Development.
• Hands-on experience with SAIL, SQL, Appian Integrations, Mule APIs, and related tools.
• Strong experience with Oracle SQL, PostgreSQL, MariaDB databases.
• Knowledge or eagerness to self-learn BPM tools like Appian.
• Experience with API development and testing.
• Experience integrating systems with GCP Cloud services.
• Knowledge of cloud technologies such as GCP / AWS (services, databases, integration patterns).
• Experience across different Java platforms.
• Familiarity with DevOps CI/CD pipelines and tools.
• Strong understanding of Agile Scrum methodology and tools like JIRA.
• Strong analytical, communication, and stakeholder management skills.
• Ability to work in a multi-cultural, global team environment.
• Ability to work independently, handle pressure, and balance multiple priorities.

Benefits

Competitive compensation and benefits package:

1. Competitive salary and performance-based bonuses
2. Comprehensive benefits package
3. Career development and training opportunities
4. Flexible work arrangements (remote and/or office-based)
5. Dynamic and inclusive work culture within a globally renowned group
6. Private Health Insurance
7. Pension Plan
8. Paid Time Off
9. Training & Development

Note: Benefits differ based on employee level.

XML job scraping automation by YubHub

Fuse Energy is a forward-thinking renewable energy startup on a mission to deliver a terawatt of renewable energy - fast. We're combining first-principles thinking with cutting-edge technology to build a radically better energy system.

We're creating a fully integrated energy company: from developing solar, wind and hydrogen projects to real-time power trading and distributed energy installations. By selling directly to consumers, we cut out the middleman, lower costs and pass on savings to customers.

But we’re not stopping there. We’re also building the Energy Network: a decentralised platform of smart devices that rewards users in Energy Dollars for electrifying their homes, shifting usage to off-peak hours, and helping balance the grid. This network strengthens grid stability - a critical foundation for scaling AI data centers and other energy-intensive industries.

Responsibilities

• Design, develop and deploy AI-powered features that directly impact consumer experiences, including personalised energy recommendations and seamless onboarding via AI models.
• Build and optimise internal AI tools that will make the whole company more productive with a focus on automation and enhancing workflows.
• Collaborate with backend engineers and data scientists to integrate AI-driven features into our platforms.
• Collaborate with the trading and operations teams to ensure AI models are aligned with real-time market conditions and energy pricing.
• Improve AI models to optimise trading strategies by anticipating market shifts based on weather and demand forecasts.
• Stay up to date with the latest advancements in applied AI and machine learning and apply them to solve real-world problems within the energy space.
• Monitor the performance of AI tools and models, ensuring they are functioning efficiently and effectively.

Requirements

• Minimum 3 years of engineering experience
• Proven experience as a Backend Engineer with a strong interest and practical experience in applied AI or machine learning
• Strong programming skills in Python (or similar languages) with familiarity in AI/ML libraries (TensorFlow, PyTorch, etc.)
• Experience working with large-scale models (LLMs/VLMs) and deploying AI-driven solutions into production
• Solid understanding of cloud technologies, containerisation and building scalable AI applications
• Ability to integrate AI/ML models into real-world applications, focusing on usability and performance
• Strong problem-solving skills and a practical approach to implementing AI solutions in a fast-paced environment
• Experience working with large datasets, particularly in relation to demand and supply forecasting

Benefits

• Competitive salary and an equity sign-on bonus
• Biannual bonus scheme
• Fully expensed tech to match your needs
• Paid annual leave
• Breakfast and dinner allowance for office based employees

XML job scraping automation by YubHub

Responsibilities:

• Take ownership of individual project priorities, deadlines, and deliverables using AGILE methodologies.
• Deliver high-efficiency, high-availability, concurrent, and fault-tolerant software systems.
• Contribute to the development of Aladdin's global, multi-asset trading platform.
• Design and develop innovative solutions to complex problems, identifying issues and roadblocks.
• Demonstrate vision when brainstorming solutions for team productivity, efficiency, guiding, and motivating developers.

Qualifications:

• Master's Degree or PhD in Computer Science, Engineering, or Mathematics.
• Hands-on experience in Java or web development (JavaScript).
• Good understanding of concurrent programming and design of high-throughput, high-availability, fault-tolerant distributed applications and databases.
• Strong interest in distributed systems, infrastructure services, cloud technology, and AI/ML techniques and technology.
• Prior experience in building distributed applications using SQL and/or NoSQL technologies such as MSSQL, MongoDB, Snowflake, or Redis is a plus.
• Prior experience with message broker technology such as Kafka or gRPC is a plus.
• Prior experience in modern front-end frameworks such as React, Vue.js, or Angular is a plus. Angular preferred.
• Excellent analytical and software architecture design skills, with an emphasis on test-driven development.
• Effective communication and presentation skills, both written and verbal

Our benefits include retirement investment and tools designed to help you build a sound financial future, access to education reimbursement, comprehensive resources to support your physical health and emotional well-being, family support programs, and Flexible Time Off (FTO) so you can relax, recharge, and be there for the people you care about.

Our hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities.

XML job scraping automation by YubHub

We'd expect you to be a self-starter, needing to seek guidance or instruction infrequently. We'd like to see you starting to practice some basic leadership capabilities, and readily taking proactive measures to prevent software issues. You will consistently achieve business goals and metrics successfully, promptly, and accurately.

Key Responsibilities

• Investigate, track, find solutions, and resolve support issues and questions
• Test solutions before deploying to production, understand program code and error logs, and log software bugs, in collaboration with clients, team members, vendors, and third parties around the world in various roles
• Install and configure Vista Group software remotely and onsite, as part of troubleshooting, resolving issues or onboarding, as needed
• Perform cross-regional and cross-departmental tasks and initiatives as assigned either on an ad-hoc, temporary basis, or as part of a more formal rotation program
• Become knowledgeable of Vista Group software and the cinema industry to effectively serve clients
• Upskill and train clients, team members, vendors, and third parties via various methods such as creating documentation and hosting training sessions
• Build strong relationships with clients and team members
• Be available on rotation with a cell phone for urgent after-hours support issues
• Travel domestically and internationally on occasion

Requirements

• Specific knowledge of SQL Server, Visual Basic, .NET, cloud technologies, and networking
• Excellent problem-solving and analytical skills, verbal and written communication, and organisational skills with meticulous attention to detail
• Proven ability to remain composed under pressure, use independent discretion and judgment to assess situations, and respond appropriately
• A commitment to excellent customer service and dedication to creating great outcomes and working relationships
• Proficient in Microsoft Office (Outlook, Word, Excel, PowerPoint, etc...)
• Current valid passport or able to obtain one promptly if required
• Undergraduate degree or certifications in related technical area would be preferred

Benefits

• Excellent work/life balance including a 4 ½ day working week
• Hybrid working (home and office based split, requiring regular weekly attendance in the Auckland office)
• Medical and Life insurance
• Volunteer day, enhanced paid parental leave and wellness benefits
• Strong mentoring & career development focus
• Fun team events including the Vista Innovation Cup

XML job scraping automation by YubHub

Company: Zoopla

Job Summary:

As a Senior Developer Experience Engineer at Zoopla, you will work on the Developer Experience side of the engineering organisation. You will be responsible for building and maintaining the tools and infrastructure that enable developers to work efficiently and effectively.

Job Description:

Zoopla is one of the UK's most instantly recognisable property brands. We're known and loved by over 91% of the nation (and we're working hard on the other 9%). Our mission is to help the nation make better home decisions - by connecting everyone to their home and giving them personalised insights to help with moving, managing or financing.

We're a growing team that embraces innovation and isn't afraid to push the boundaries. We're only just starting our journey to redefine the digital property landscape, with much more to explore and achieve.

Requirements:

• You're skilled in Next.js and TypeScript.
• You like working with AI and you have built things to leverage its usage (think CLIs, custom agents, workflows, anything related to automating and simplifying processes).
• You're working on your engineering craft, and you practise writing maintainable code, reviewing code, pair programming at times, and writing tests.
• You're commercially driven, resilient, and able to respond to changes without missing a beat.
• You're passionate about building products to delight users, while also paying attention to building products that are stable, scalable, secure, observable, and performant.
• You'll have worked with some type of cloud tech, though we'll make sure you're supported by our SRE folks when you need to flex across the whole stack.

Benefits:

• 25 days annual leave + extra days for years of service
• Day off for volunteering & Digital detox day
• Festive Closure - business closed for period between Christmas and New Year
• Cycle to work and electric car schemes
• Free Calm App membership
• Enhanced Parental leave
• Fertility Treatment Financial Support
• Group Income Protection and private medical insurance
• Gym on-site in London
• 7.5% pension contribution by the company
• Discretionary annual bonus up to 10% of base salary

XML job scraping automation by YubHub

Responsibilities

You will play an integral role in the team responsible for the major build-out of functionality on the infrastructure platforms, services and associated backend infrastructure. You will collaborate with cross-functional teams to define, design, and deliver new features. You will manage specific aspects of the buildout, which includes planning and communicating with senior stakeholders.

You will prepare documentation, provide guidance, conduct code reviews, and offer mentorship to elevate the skills of the team and the quality of our projects. You will continuously explore and implement improvements to enhance efficiency and performance. You will troubleshoot and resolve issues across various environments and platforms.

Qualifications

You will have a comprehensive understanding of software architecture and design patterns. You will have minimum 5 years of expertise in Python, including at least one popular Python framework. You will have minimum 5 years of practical experience with web frameworks for building RESTful APIs in Python, such as Django or FastAPI.

You will have strong problem-solving skills with a proactive approach to addressing challenges. You will have minimum 5 years of practical experience in DevOps and Infrastructure roles. You will have experience in CI/CD pipeline design and automation tools. You will have familiarity with front-end technologies, such as JavaScript, HTML5 and CSS.

You will have experience with SQL/no-SQL databases. You will have experience with Cloud Technologies, such as Azure or AWS. You will have experience with containerization and orchestration technologies, like Docker or Kubernetes. You will have familiarity with Linux systems, equivalent to LPIC-2.

You will have knowledge of security best practices in software development. You will have familiarity with general IT infrastructure topics: Virtualization, Storage, Networking, etc.

This is a hybrid role, with 3 days per week working from our office in Bucharest.

XML job scraping automation by YubHub

Responsibilities:

• Work with a team of software engineers, quality designers and data analysts to develop new workflows, and frameworks to take Frostbite into a new era of AI-based workflows.
• Identify new opportunities to improve Frostbite quality processes, and will lead the design, implementation, review and delivery of large functionality.
• Ensure that code is tested and of high-quality, and that our outcomes are measurable and documented.
• Debug technical issues and prevent reoccurrences.
• Contribute to our team culture of learning, collaboration, sustainability, and promoting engineering best practices.

Qualifications:

• BSc degree in Computer Science, Software Engineering, a related academic programme, or equivalent training and experience.
• 5+ years of professional experience in C# or C++.
• Experience with the software engineering lifecycle of a complex codebase, including testing, CI/CD and software release.

Bonus if you have...

• Experience in AI and Agentic technologies to aid software development.
• Background in Quality Engineering.
• Knowledge of client-server application development, and deploying code in AWS, Azure, or Google Cloud environments.
• Experience in database and cloud technologies.
• Experience in game or game engine development.

This is a hybrid role in EA Vancouver.

XML job scraping automation by YubHub

About the Role

This exciting role offers a talented and experienced technical product manager the opportunity to drive innovations that improve the ability for EA's developers to make great games and products.

You will have the chance to work with game teams across the entire organisation, including FC, Madden, Battlefield, the Sims, Apex Legends, and central teams such as Frostbite.

Key Responsibilities

• Vision & Roadmap: Own the product vision and roadmaps for EA internally used products across adjacent developer platform capabilities, aligned to studio and platform strategy.

• Customer Success: Understand internal customer pain points (EA game developers) and translate them into prioritised, outcome-driven requirements informed by research and competitive analysis.

• Aligning Priorities: Balance scalability, security, usability, and developer productivity, ensuring roadmap decisions are grounded in measurable business and developer impact.

• Domain Expertise: Partner deeply with engineering leaders to understand system architecture, performance trade-offs, and scalable platform services; translate complex technical initiatives into clear execution plans.

• EA's Software Development Lifecycle: Develop a strong understanding of the game development lifecycle and identify SDLC friction points to enhance developer experience.

• Stakeholder Alignment: Collaborate closely with developers, design, and studio stakeholders to validate solutions, align priorities, and drive adoption through clear communication and enablement.

• Measure Success: Define and track success metrics tied to adoption, efficiency, reliability, and developer satisfaction; ensure instrumentation and telemetry are embedded from the outset.

• AI-Forward: Leverage AI tools operationally to improve product management efficiency and identify opportunities to reduce manual workflows and enhance developer enablement.

Qualifications

• 5+ years of product management experience, preferably in platform, infrastructure, or developer-facing products.

• Experience defining, owning and driving product initiatives, ideally in technically oriented or platform-focused areas.

• Strong technical foundation, including familiarity with APIs, microservices, cloud technologies (e.g., AWS, Azure, GCP), CI/CD pipelines, and general software development lifecycle, with the ability to confidently engage in technical discussion and understand system architecture.

• Prior experience using AI tools to support day-to-day work.

• Prior experience partnering closely with engineering teams to deliver reliable, scalable solutions.

• Data-informed approach to decision-making, including defining success metrics and using insights to guide priorities.

• Strong written and verbal communication skills.

• Thrives in working with both technical and non-technical partners.

• Experience driving results across product, engineering, and studio teams in multi-org or -team environments.

Benefits

This is a hybrid role, with 3 days per week working from our office in Madrid.

Please, apply with a CV in English.

XML job scraping automation by YubHub

We're a global network of subtitle and localization specialists, partnering with iconic developers, publishers, and content creators. If you're a talented professional with expertise in subtitling, we'd love to connect with you.

We're Looking for Freelance Subtitle Translation Opportunities

We're always on the lookout for talented professionals to join our network of subtitle and localization specialists. If you have experience in subtitling, QC, SDH, or template linguistics, we'd love to hear from you.

Requirements

• Native proficiency of the target language
• Strong command of the source language
• Experience in at least one of the following areas of the entertainment industry: localization QC, audiovisual translation and subtitling
• Experience with subtitle editing software and web/cloud technology
• Deep understanding of closed captioning and subtitling, and their common failures and technical challenges
• Solid understanding of nuances of subtitle and dub translations
• Working knowledge of cultural differences and best practices for subtitles and dub audio creation
• University degree or equivalent professional experience in the translation field
• Ability to quickly adapt to workflow/process changes and updates
• Great attention to detail, organization, problem-solving, analytical and multitasking skills

Benefits

• Competitive pay
• Work on popular titles across film, TV, streaming, games and much more
• Early access to unreleased content
• Flexible project volume
• 100% remote work
• Set your own schedule
• Constructive feedback and support

Please Note

• Signing a Non-Disclosure Agreement (NDA) is required prior to starting the recruitment process
• Due to the high volume of applications, we regret that we are only able to respond to candidates who meet the above requirements

XML job scraping automation by YubHub

Responsibilities

• Translate subtitles from English to Basque with high accuracy and attention to detail
• Collaborate with our localization teams to deliver high-impact experiences through expert translation, subtitling, dubbing, voice-over, and linguistic quality assurance services
• Work on popular titles across film, TV, streaming, games, and much more
• Adapt to workflow/process changes and updates quickly
• Provide constructive feedback and support to our teams

Requirements

• Native language fluency of Basque
• Extensive knowledge of English
• University degree or equivalent professional experience in the translation field
• Experience in at least one of the following areas of the entertainment industry: localization QC, audiovisual translation, and subtitling
• Deep understanding of nuances of subtitle and dub translations
• Working knowledge of cultural differences and best practices for subtitles and dub audio creation
• Understanding of closed captioning and subtitling, and their common failures and technical challenges
• Confidence and experience with subtitle editing software and web/cloud technology

Benefits

• Competitive pay
• Early access to unreleased content
• Flexible project volume
• 100% remote work
• Set your own schedule
• Constructive feedback and support

Our Diversity, Equity, Inclusion, and Belonging (DEIB) Commitment

Keywords Studios is an Equal Opportunity Employer and considers applicants for all positions without regard to race, ethnicity, religion or belief, sex, age, national origin, marital status, sexual orientation, gender identity, disability, or any other characteristic protected by applicable laws.

XML job scraping automation by YubHub

We are currently seeking a freelance translator with the following qualifications:

Requirements

• Native language fluency of target language
• Extensive knowledge of source language
• University degree or equivalent professional experience in the translation field
• Experience in at least one of the following areas of the entertainment industry: localization QC, audiovisual translation, and subtitling
• Deep understanding of nuances of subtitle and dub translations
• Working knowledge of cultural differences and best practices for subtitles and dub audio creation
• Understanding of closed captioning and subtitling, and their common failures and technical challenges
• Confidence and experience with subtitle editing software and web/cloud technology

Benefits

• Competitive pay
• Work on popular titles across film, TV, streaming, games, and much more
• Early access to unreleased content
• Flexible project volume
• 100% remote work
• Set your own schedule
• Constructive feedback and support

XML job scraping automation by YubHub

Foster City, CA (Hybrid) In office M,W,F

Employment Type

Full time

Location Type

Hybrid

Department

EngineeringPlatform

Compensation

• Compensation is determined based on career level, with the base salary for this role ranging from $130K – $290K • Offers Equity • Performance Based Bonus

We are seeking talented distributed systems engineers who are passionate about building innovative solutions for application deployment. Your mission will be to enhance the capabilities of Replit Infrastructure, optimize performance across global regions, and drive efficiency while delivering an exceptional user experience. If you have a strong foundation in software development, a deep understanding of cloud technologies, and a track record of delivering high-quality code, we want to hear from you.

In this role you will:

• Expand Replit's cloud infrastructure offerings: Launch new cloud products to be used by Replit Agent to build complex apps. Collaborate with cross-functional teams to design and implement these features, empowering developers with a comprehensive suite of tools to build and deploy their applications efficiently.

• Enhance reliability and scalability: Identify bottlenecks, optimize critical paths, and implement robust monitoring and alerting systems. Work closely with the SRE team to ensure high availability and minimal downtime. Enable our customers to seamlessly scale their applications to meet the demands of their growing user base.

• Improve utilization of cloud infrastructure: Analyze our infrastructure costs and identify opportunities for optimization. Implement strategies to reduce cloud expenses without compromising performance or reliability. This could involve techniques such as resource provisioning, auto-scaling, cost-aware scheduling, and data lifecycle management. Your efforts will directly contribute to the financial efficiency of our cloud services.

Required skills and experience:

• Distributed systems: Track record of working with platform-as-a-service, distributed storage, or information retrieval systems. Experience in designing scalable architectures and optimizing systems for latency or cost.

• Problem-solving mindset: Ability to approach complex challenges pragmatically and devise effective solutions. You think radically but ship incrementally.

• Self-directed and autonomous: Able to work independently, set priorities, and drive projects forward. You take ownership and initiative.

• Versatility and flexibility: Able to wear multiple hats and tackle a wide range of challenges. You are comfortable working across different layers of the stack and adapting to the needs of the project.

• Continuous learning and adaptability: Passionate about staying up-to-date with industry trends and expanding your skill set. You embrace change and adapt quickly.

Nice to have:

• Experience working on cloud infrastructure or platform products, particularly in the areas of application deployment, serverless computing, or container orchestration.

• Familiarity with Google Cloud Platform (GCP) services and tools, such as GCE, GKE,, Cloud Run, or Cloud Storage.

• Contributions to open-source projects related to cloud technologies, deployment frameworks, or developer tools. We love OSS!

Tools + Tech Stack for this role

• Golang, Rust

This role may not be a fit if

• You are a generalist backend engineer who hasn’t built scalable distributed systems.

• You cannot take part in the oncall rotation of min 6 people.

• You do not enjoy diving into Linux internals.

_This is a full-time role that can be held from our Foster City, CA office. The hybrid role has an in-office requirement of Monday, Wednesday, and Friday._

Full-Time Employee Benefits Include:

💰 Competitive Salary & Equity

💹 401(k) Program with a 4% match

⚕️ Health, Dental, Vision and Life Insurance

🩼 Short Term and Long Term Disability

🚼 Paid Parental, Medical, Caregiver Leave

🚗 Commuter Benefits

📱 Monthly Wellness Stipend

🧑‍💻 Autonomous Work Environment

🖥 In Office Set-Up Reimbursement

🏝 Flexible Time Off (FTO) + Holidays

🚀 Quarterly Team Gatherings

☕ In Office Amenities

Want to learn more about what we are up to?

• Meet the Replit Agent

• Replit: Make an app for that

• Replit Blog

• Amjad TED Talk

Interviewing + Culture at Replit

• Operating Principles

• Reasons not to work at Replit

To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.

XML job scraping automation by YubHub

San Francisco

Employment Type

Full time

Department

Strategic Finance

Compensation

• $185K – $260K • Offers Equity

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

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

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

• 401(k) retirement plan with employer match

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

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

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

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

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

• Relocation support for eligible employees

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

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

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

About the Team

The Compute & Infrastructure Strategy team handles strategy and execution of OpenAI’s compute roadmap. This team’s key responsibilities span financial analysis & reporting, capacity planning, commercial and business development, and strategic partnerships. We partner across the business to allocate and deploy our resources for the highest impact outcomes.

About the Role

Compute is a key lever for OpenAI and AI progress. We are seeking a Strategic Finance Compute Lead to provide finance leadership for our compute and infrastructure spend and play a significant role in shaping our long-term compute strategy. You will play a critical role developing financial models for all areas of compute, analyzing spend patterns, and providing critical insights to optimize and plan for our future compute needs. This role will be a key partner to our scaling and supercomputing engineering teams providing financial expertise and guidance to optimize our capacity investments and drive strategic decision-making, while collaborating with other members of the finance organization to align our compute strategy with broader financial considerations.

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

In this role, you will:

• Own and develop financial models across different elements of compute (GPUs, CPUs, storage and networking)
• Lead strategic financial analysis for long-term capacity initiatives, working closely with scaling and supercomputing engineering teams
• Maintain deep expertise on compute contract terms, pricing structures and optimization opportunities
• Serve as a partner to FP&A and strategic finance teams, aligning compute and infrastructure with broader financial and business strategies
• Create high-quality Exec and Board-facing presentations
• Stay abreast of market trends and competitive dynamics to inform and improve our infrastructure strategy

You might thrive in this role if you have:

• 5+ years of experience across strategic finance, private / growth equity, investment banking, strategy & operations, and/or business development with 3+ years of finance operating experience at a high-growth technology company
• Experience partnering with engineering and product teams to provide financial analysis and insights to critical strategic decisions
• Good understanding of cloud technology and compute infrastructure
• Exceptionally strong analytical, financial modeling, and written and oral communication skills
• Demonstrated track record of thoughtful investment decisions
• Experience driving operational outcomes under ambitious deadlines
• Exceptionally strong relationship building, business judgment, and communication skills
• Bachelor’s degree or equivalent practical experience

About OpenAI

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

XML job scraping automation by YubHub

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

About the Role

The Microsoft Sports Data Engineering team within Microsoft AI is seeking a Senior Software Engineer responsible for designing data ingestion platforms and services, upholding reliable data management standards, and developing and delivering data-driven solutions. These efforts collectively support the creation of advanced, innovative sports experiences. As a Senior Software Engineer, you will provide leadership and architectural guidance in designing and maintaining robust, scalable, and efficient data ingestion pipelines and data services. You will deliver high-quality, thoroughly tested, secure, and maintainable code. You will proactively generate ideas and contribute to the continuous improvement of the technology stack, tools, and development processes. You will collaborate with cross-functional teams to effectively address business requirements while upholding engineering standards and reducing technical debt. You will diagnose and resolve issues arising in both production and development environments. You will research, evaluate, and experiment with innovative technologies to enhance system reliability, efficiency, and consistency. You will embody our culture and values.

Accountabilities

• Provide leadership and architectural guidance in designing and maintaining robust, scalable, and efficient data ingestion pipelines and data services.
• Deliver high-quality, thoroughly tested, secure, and maintainable code.
• Proactively generate ideas and contribute to the continuous improvement of the technology stack, tools, and development processes.

The Candidate we're looking for

Experience:

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

Technical skills:

• Proficient foundation in data structures, algorithms with demonstrated testing, debugging and analytical skills.

Personal attributes:

• Excellent communication and collaboration skills.

Benefits

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

XML job scraping automation by YubHub

What you'll do

Work directly with game teams/partners (internal clients) to understand their offerings/domain and create AI products and solutions to solve for their use cases.

What you need

• Graduate degree in Computer Science, Engineering, AI/ML, or a related quantitative field encouraged.
• 4+ years of experience building AI, ML, or data-driven systems in production environments.

XML job scraping automation by YubHub

What you'll do

• Perform stress and load testing
• Create, maintain, and improve test code in C++/Java/Scala to support applications and features

What you need

• Bachelor’s degree in computer science or higher
• 3-6 years of relative experience
• Expertise in object-oriented design/programming, strong programming expertise in either C/C++, or Java

XML job scraping automation by YubHub

What you'll do

• Prototype and implement tools that leverage AI/ML to automate or simplify complex art workflows, reducing repetitive tasks and unlocking new creative possibilities.
• Integrate DCC applications (e.g., Maya, Photoshop, Substance) into the Frostbite engine, ensuring seamless asset transfer, manipulation, and scalability.
• Build intuitive UIs (Python/Web) that make advanced tools accessible to non-technical users; conduct user research and feedback sessions to iterate on functionality and usability.
• Explore and apply Large Language Models and other generative AI technologies to accelerate content generation and augment artist workflows.
• Partner with engineers, artists, and researchers to prototype and deliver innovative solutions that enhance both technical pipelines and creative processes.

What you need

• Bachelor's degree (or equivalent experience) in a related field.
• 4+ years of Python development experience.
• Proven experience building art pipelines for production.
• Experience designing and developing UX + UI (Python/Web).
• Familiarity with machine learning pipelines, LLMs, and MCP frameworks.
• Working knowledge of cloud technologies and web APIs.
• Working Knowledge of DCC applications such as Maya, Photoshop, and Substance.

XML job scraping automation by YubHub

You'll be part of our team developing internal applications for various departments. Your focus will be on complex IT system landscapes for vehicle development, optimizing and automating development processes, agile software development, and more.

• Komplexe IT-Systemlandschaften für die Fahrzeugentwicklung
• Optimierung und Automatisierung von Entwicklungsprozessen
• Agile Softwareentwicklung
• Anforderungsanalyse, Konzeption, Entwicklung und Weiterentwicklung von IT-Produktlösungen
• CI/CD-Pipelines und moderne DevOps-Ansätze
• Cloud-Technologien & containerbasierte Umgebungen (z.B. Docker)

What you need

• Ein Studienplatz für (Wirtschafts-)Informatik oder eines vergleichbaren Studiengangs (mindestens im 3. Semester oder im Gap-Year zwischen Bachelor und Master)
• Erste praktische Erfahrung und hohe Motivation im Bereich Softwareentwicklung
• Ein ausgeprägtes Interesse an IT-Themen und modernen Softwarearchitekturen
• Eine strukturierte und selbstorganisierte Arbeitsweise sowie ein gutes Organisationstalent
• Eine ausgeprägte Service- und Lösungsorientierung im Umgang mit internen Kunden und Projektpartnern

Why this matters

As a member of our team, you'll have the opportunity to work on complex IT system landscapes, optimize and automate development processes, and develop internal applications for various departments. You'll be part of a dynamic and innovative team that's passionate about technology and collaboration.

XML job scraping automation by YubHub