In that process, you will build relationships with our customers, find and build champions, and become a trusted advisor. You will partner with the sales team to help customers understand how Databricks can help solve their business problems, provide technical leadership for customers to evaluate and adopt Databricks, consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications.

You will become an expert in, and promote Databricks inspired open-source projects (Apache Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars. Travel to customers in your region is also required.

Requirements:

• 5+ years in a customer-facing pre-sales, technical architecture, or consulting role
• Experience designing and architecting distributed data systems
• Comfortable programming in, and debugging, at least one of: Python, Scala, Java, SQL, or R
• Experience supporting Public Sector clients
• Have built solutions with public cloud providers such as AWS, Azure, or GCP
• Expertise in at least one of the following:

+ Data Engineering technologies (Ex: Spark, Hadoop, Kafka) + Data Warehousing (Ex: SQL, OLTP/OLAP/DSS) + Data Science and Machine Learning technologies (Ex: pandas, scikit-learn, HPO)

Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.

XML job scraping automation by YubHub

This is a customer-facing role, where you will work with customers, your teammates, the product team, and our post-sales teams to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation to accomplish value.

In this process, you will build relationships with our customers, find and build champions, and become a trusted advisor.

You will partner with the sales team to help customers understand how Databricks can help solve their business problems.

Provide technical leadership for customers to evaluate and adopt Databricks.

Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications.

Build and present reference architectures, how-tos, and demo applications for customers.

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

Travel to customers in your region.

We look for candidates with 5+ years in a customer-facing pre-sales, technical architecture, or consulting role.

Experience designing and architecting distributed data systems.

Comfortable programming in, and debugging, at least one of: Python, Scala, Java, SQL, or R.

Experience supporting Public Sector clients.

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

Expertise in at least one of the following: Data Engineering technologies (Ex: Spark, Hadoop, Kafka), Data Warehousing (Ex: SQL, OLTP/OLAP/DSS), Data Science and Machine Learning technologies (Ex: pandas, scikit-learn, HPO).

Desired degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research).

Secret security clearance or willingness to obtain one.

Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Local Pay Range $152,300-$209,450 USD

XML job scraping automation by YubHub

We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data.

This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes.

FDEs are billable and know how to complete projects according to specification with exceptional customer empathy.

The impact you will have:

• Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration

• Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer

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

• Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices

• 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

• Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact

• Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap

What we look for:

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

• Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks

• 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, ML/AI models and AI APIs

• Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces

• Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions

• Documentation and white-boarding skills

• Experience working with enterprise clients and managing conflicts across a broad stakeholder range

• Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects

• Travel to customers 20% of the time

• Databricks Certification

• Fluent in Japanese with a professional working proficiency in English

XML job scraping automation by YubHub

We believe in end-to-end ownership of projects. For any given project, we have one person on point. While they don't necessarily have to do all the work themselves, it's their job to make sure all the work gets done. We launch betas and prototypes as early as we can. This helps ensure that we're building what users actually want. We contribute back to the community, often by building things we think are cool and by releasing open-source software.

Responsibilities:

• Work on cross-functional projects, directly collaborating with other engineers
• Give meaningful feedback on code reviews and technical designs
• Ensure that the systems your team operates continue running well and can scale to meet the needs of our users
• Build the skills to own a project from beginning to end, learning project management and technical leadership skills

Who you are: We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements:

• Must be available to start full-time before October 1, 2026
• A Bachelor’s or Master’s degree in computer science or a directly related field, obtained by summer 2026, or equivalent work experience
• New grad candidates should have no more than 18 months of professional experience (excluding internship experience)
• Some experience and familiarity with programming, either through side projects or classwork. We work mostly in Java, Ruby, JavaScript, Scala, and Go. We believe new programming languages can be learned if the fundamentals and general knowledge are present
• Experience from either previous internships or collaborative work on multi-person coding projects (in a university or professional setting)
• Ability to learn unfamiliar systems and form an understanding of those systems, through independent research and working with a mentor and subject matter experts

Preferred qualifications:

• One or more areas of specialized knowledge balanced with general skills and knowledge, such as deeper knowledge of frontend technologies and, at a high level, how a service handles an HTTP request
• Experience in code review practices, and an understanding of how to safely update production systems
• Familiarity with navigating and managing work in large codebases

XML job scraping automation by YubHub

You will join the overall Data Infrastructure organization responsible for online and offline data infrastructure across the company, and the components that transition data between these environments.

Key Responsibilities:

• Define the multi-year vision for Data Governance and Data Quality that scales with our global business and evolving AI landscape.
• Act as a primary consultant for executive leadership on data governance, ensuring that compliance and stewardship are integrated into the data product lifecycle from day one.
• Lead the design of overarching data architectures that anticipate future real-time and AI-driven requirements.
• Define the best practices, tooling, and culture that enable data organizations to maintain high-quality data autonomously.
• Lead cross-functional task forces to navigate complex regulatory landscapes and translate them into engineering requirements.
• Coach Senior and Staff engineers across the organization on data best practices, fostering a community of excellence.

Requirements:

• 12+ years of industry experience, with a proven track record of leading large-scale data initiatives across multiple departments or business units.
• Demonstrated expertise in designing and evolving complex data ecosystems within complex, high-volume environments.
• Experience influencing product and business strategy by leveraging data integrity as a competitive advantage.
• Deep expertise in the Java/Scala/Spark ecosystem, preferably with knowledge of S3 and Iceberg.
• Strong knowledge of relational databases and query authoring (SQL).
• Strong ability to drive cultural shifts regarding data ownership and quality across an entire engineering organization.

Location: This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager.

XML job scraping automation by YubHub

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

You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward.

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

The impact you will have:

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

Opportunity to continue your development in one of four tracks - technical specialization, industry vertical thought leadership, strategic customer vision, and people management.

What we look for:

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

XML job scraping automation by YubHub

You will be hiring, mentoring, and developing a team of strong customer technical advocates while closely partnering with go-to-market, field and product teams to deliver the best support experience to maximize customer satisfaction and reduce time to mitigation for technical issues and incidents.

The Impact You Will Have

• Hire, onboard, and develop a top-tier team of designated support engineers (DSE)
• Identify and operationalize process improvements to meet or exceed team performance KPIs and create consistently exceptional support experiences
• Partner closely with field, engineering, support, and other cross-functional stakeholders within Databricks to ensure seamless post-sales experience and advocate customer needs.
• Contribute to program enhancements and offerings tailored to evolving customer needs
• Coordinate execution and collaborate across customers, accounts teams and regional GTM leadership teams to resolve technical blockers and drive high customer satisfaction
• Conduct internal and external Support Experience QBRs

What We Look For

• Proven ability to hire and scale high-performing support or field teams, enabling them and helping them grow in larger roles
• Ability to work with strategic customers driving multiple competing priorities
• 5+ Technical experience in Python, Java or Scala-based application development, SQL databases, Linux/Unix systems, or cloud platforms (AWS, Azure, or GCP)
• 5+ years of technical support or field leadership experience managing global technical teams
• Open to occasional travel to team locations
• Experience working cross-functionally with other teams such as Sales, Field Engineering, Product Management, and Engineering
• Experience with influencing senior executives and senior customer leaders
• B.S degree in Computer Science or a related field is required (M.S. preferred)

XML job scraping automation by YubHub

You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on investment.

This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products.

The impact you will have:

• Engage with Solutions Architects to understand the full use case demand plan for prioritised customers
• Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
• Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks
• Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations
• Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise
• Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals
• Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs
• Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:

• Main use cases moving from ‘win’ to production
• Enablement / user growth plan
• Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision)
• Organic needs for current investment (e.g. cloud cost control, tuning & optimization)
• Executive and operational governance
• Provide internal and external updates
• KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression to your Technical GM

What we look for:

• 15+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers
• Programming experience in Python, SQL or Scala
• Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role
• Understanding of solution architecture related distributed data systems
• Understanding of how to attribute business value and outcomes to specific project deliverables
• Technical program, or project management including account, stakeholder and resource management accountability
• Experience resolving complex and important escalation with senior customer executives
• Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects
• Track record of overachievement against quota, Goals or similar objective targets
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
• Can travel up to 30% when needed

XML job scraping automation by YubHub

We're looking for a skilled Software Engineer to join our team at Stripe.

Responsibilities

• Design, build, and maintain APIs, services, and systems across Stripe's engineering teams using Java, Ruby, Scala, and Go
• Build software infrastructure, including developing, testing, and deploying it
• Design and develop software systems, using scientific analysis and mathematical models to predict and measure outcome and consequences of design
• Engineer payments integration with various financial partners software systems
• Design APIs and underlying data models to support complex financial abstractions and multi-party integrations, enabling flexible billing and settlement configurations across international markets
• Develop and direct software system testing and validation procedures, programming, and documentation
• Debug production issues across services and multiple levels of the stack
• Analyze user needs and software requirements to determine the feasibility of design within time and cost constraints
• Work with engineers across the company to build new features at large-scale
• Build new systems to securely store sensitive data; Improve engineering standards, tooling, and processes
• Integrate observability tools and alerting mechanisms (Datadog, Prometheus) into high-traffic production systems, defining SLAs and real-time diagnostics to meet the reliability standards required by financial partners
• Mentor junior engineers, lead technical design reviews, and establish best practices in code quality, system design, resilience engineering, and deployment strategies across the billing infrastructure group

Requirements

• Bachelor's degree or foreign equivalent in Computer Science, Data Science, or a related field, plus 2 years of Software development experience
• 2 years of experience working with Java, Scala, Python and AWS
• 2 years of experience implementing industry standard design patterns
• 2 years of software engineering experience building full-stack web applications at scale
• 2 years of experience with database management
• 2 years of experience using SQL and related query languages to perform data analysis

Benefits

• Salary: $156,800 – $235,200/yr.
• 40 hours/week
• 50% Telecommuting Permitted
• Multiple Positions Available
• Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends

XML job scraping automation by YubHub

We are currently seeking an experienced professional to join our team in the role of Associate Director, Software Engineering.

Principal responsibilities include:

• Senior developer role and accountable for the end-to-end delivery of the project.

• Take end-to-end ownership of the product lifecycle, from requirement clarification to post-launch optimization.

• Implementation (Coding) of assigned modules/tasks and providing technical solutions/designs to the team.

• Liaising with product owners and SMEs for clarity on stories, acceptance criteria and testing scope.

• Working closely with architecture team to deliver solutions that appropriately address business needs and timelines having futuristic thought process and embedded design thinking.

• Working with different stakeholders from different locations ensuring delivery is at focus.

• Deliver timely and effective production support, including incident troubleshooting, root cause analysis and resolution for live systems.

• Demonstrate strong learning agility to quickly adapt to new technologies, business domains and project requirements.

Knowledge & Experience/Qualifications include:

• Bachelors or Master Degree in relevant stream.

• A strong track record of building scalable, secure backend systems as part of multi-tier applications.

• Experienced with backend programming languages (Java/Scala is a must; Python/Golang is a plus).

• Proficient in database technologies (SQL/NoSQL, e.g., MongoDB, PostgreSQL) and backend frameworks.

• Excellent verbal and written communication skills, able to take on some BA work when required.

• Keen sense of ownership, carried through the full SDLC from specification to production support.

• Team player, with a proven awareness of the importance of team working in a fast-paced highly technical environment.

You’ll achieve more when you join HSBC. HSBC is an equal opportunity employer committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and, opportunities to grow within an inclusive and diverse environment.

XML job scraping automation by YubHub

The Risk Operations Specialist is a crucial role for supporting firm wide Risk and Controls infrastructure and functions overseeing the firm’s trading operations. Successful candidate will bring strong technical background from the areas of Finance, Market Risk and Technology and apply data analytics, quantitative methods and functional expertise to enhance and improve data quality, reporting, operational processes and controls. The role will contribute to and potentially lead team projects therefore must be comfortable working in fast paced and deadline sensitive environment. This position has a global focus and requires frequent collaboration with key internal and external stakeholders thereby providing broader perspective of the market risk, controls and financial regulatory regimes.

Principal Responsibilities

• Collaborate with various functions across Core Operations, Middle Office, Market Risk, Finance, Treasury, Technology, Legal and Compliance globally to design, develop, maintain and enhance preventive controls and data governance frameworks.

• Have a strong understanding of financial derivatives, market risk models and risk metrics such as VAR, Greeks, credit and interest rate spreads, DV01 etc. and be able to communicate complex products and concepts in a simple and effective manner to management and various stakeholders.

• Be able to develop deep understanding of firm’s operational trade life cycle functions including trade capture, T0 and T1 confirmation/affirmation, asset servicing, pricing/valuation, pnl calculations, collateral management, financing etc.

• Automate any manual reporting processes to ensure timeliness and accuracy of risk and regulatory reporting globally for end clients using data analytics solutions.

• Create and manage comprehensive quantitative scorecards aligning key performance and risk indicators by asset class, market, broker, trading group, legal entity etc. to assist in strategic decision making.

• Firm-wide consolidation of key regulatory reports for domestic and international regulators.

Qualifications/Skills Required

• Graduate Degree (MBA, MS or Equivalent) from an accredited university.

• 2 - 4 years of experience in financial services; strong knowledge of financial instruments, securities and derivatives.

• Strong knowledge of SQL, VBA and at least one of the analytics programming language such as Python, R, Scala etc.

• Actively pursuing or completed any financial certifications such as CFA, FRM, CPA, Series 7, 63 preferred but not required.

• Highly analytical and strategic thinker; ability to make sense of large amount of data and devise & execute project plans in timely manner.

• Quick learner and has the ability to grasp new concepts and processes quickly.

• Self-starter, solid organizational skills, ability to multitask effectively.

• Excellent written and verbal communication skills, strong presentation skills.

• Detail-oriented; demonstrable thoroughness and strong ownership of work.

• Strong interpersonal skills; ability to work collaboratively with wider teams internally as well as with external parties.

• Able to prioritize in a fast moving, high pressure, constantly changing environment; High sense of urgency to meet tight deadlines.

XML job scraping automation by YubHub

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime.

At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work.

Creating a career you love? It’s Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think.

We’re looking for a Staff Software Engineer to help build the next generation of Pinterest’s big data storage platform. You’ll work on some of the most exciting big data open source technologies , especially Apache Iceberg , at exabyte scale to power the data infrastructure that helps Pinners discover and do what they love.

As a Staff Software Engineer, you’ll serve as a technical leader and hands-on contributor, designing and building highly scalable storage systems for Pinterest’s data lake. You’ll partner closely with teams across data, ML/AI, analytics, and infrastructure to evolve our storage and metadata management capabilities, enabling efficient, reliable, and governed access to data at massive scale.

What you’ll do:

• Design, implement, and optimize Pinterest’s exabyte-scale data lake storage platform.

• Lead complex technical projects and initiatives for data lake storage and metadata management, driving them from architecture through execution.

• Collaborate with stakeholders and partner teams across the organization to design storage and metadata layer technologies that unlock big data and ML/AI innovations.

• Build storage capabilities that efficiently support large-scale ML/AI workloads, including high-throughput data access, schema evolution, and large-scale column backfills.

• Shape the long-term technical direction for scalable, reliable, and efficient big data storage systems.

• Engage with and contribute to open source communities such as Apache Iceberg, Spark, and Flink to help address Pinterest’s scaling challenges.

What we’re looking for:

• 8+ years of relevant industry experience designing and building large-scale production distributed systems.

• Strong experience designing and maintaining scalable storage, metadata, or data lake infrastructure.

• Experience building storage capabilities for large-scale ML/AI or analytics workloads, including high-throughput data access, schema evolution, and large-scale column backfills.

• Deep knowledge with building distributed systems, data storage systems, and production infrastructure.

• Experience with big data technologies such as Apache Iceberg, Spark, Flink, Presto/Trino, Hive, or similar systems.

• Proficiency in programming languages like Java, Scala, or Python.

• Proven ability to lead complex technical initiatives and influence architecture across teams.

• Strong collaboration, communication, and problem-solving skills, with a drive for technical excellence and innovation.

• Bachelor’s degree in a relevant field such as Computer Science, or equivalent experience

In-Office Requirement Statement:

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

This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.

Relocation Statement:

This position is not eligible for relocation assistance.

Visit our PinFlex page to learn more about our working model.

#LI-HYBRID #LI-AH2

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here.

US based applicants only

$177,185-$364,795 USD

Our Commitment to Inclusion:

Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

XML job scraping automation by YubHub

The impact you will have:

• Develop the compute abstractions that provide powerful capabilities for all Databricks workloads, enabling engineers to build world-class products with high velocity and best-in-class performance
• Design the workload orchestration and scheduling systems that orchestrates all types of workloads (serving, batch, stateful, GPU) with high performance and efficiency
• Scale the fleet management systems that launch and configure millions of VMs every day across cloud providers
• Raise the technical and operational bar through strong design practices, testing, and a culture of engineering excellence and platform mindset
• Lead cross-team initiatives that span product and infrastructure surface areas.

What we look for:

• BS (or higher) in Computer Science or related field
• 10+ years of experience designing and building large-scale distributed systems
• Strong proficiency in one or more languages such as Java, Scala, Go, or C++
• Experience with service-oriented architectures and large scale distributed systems
• Familiarity with cloud platforms (AWS, Azure, GCP) and container/orchestration technologies (Kubernetes, Docker)
• Track record of shipping infrastructure that supports mission-critical workloads at scale

XML job scraping automation by YubHub

You will help customers realise business value from Databricks Ecosystem products through strong technical leadership, AI-first operational innovation and customer-centric execution.

Mission Lead and scale a world-class AI-first Data & AI Support Engineering organisation that combines deep technical expertise, operational excellence, intelligent automation and customer-centric support to accelerate issue resolution, improve platform reliability and drive exceptional customer outcomes across enterprise-scale Data and AI workloads.

Key Responsibilities:

• Build AI-enabled support workflows and reusable automations to improve resolution speed and support quality.

• Use Agentic AI systems, logs, telemetry, observability platforms and internal systems to accelerate troubleshooting and root-cause analysis safely.

• Create reusable runbooks, prompts, and agentic workflows that scale operational efficiency across teams.

• Ensure strong AI governance, customer data safety, validation practices, auditability, and human-in-the-loop controls.

• Partner with Engineering and Product teams to drive AI-first support innovation and operational excellence.

Outcomes:

• Drive AI-first support transformation initiatives that improve resolution speed, case quality, operational efficiency and customer experience.

• Partner with Engineering and Product teams to operationalize AI-assisted diagnostics, observability insights, and intelligent escalation management for enterprise customers.

• Build and scale reusable AI-enabled workflows, automations, runbooks, and operational intelligence frameworks across the support organisation.

• Lead and manage Technical Solutions Engineers, Team Leads, and support operations personnel across AMER support functions based out of the Dallas location.

• Own and improve operational KPIs including customer satisfaction, escalation management, backlog health, resolution efficiency, and support quality.

• Act as a senior escalation point for customers and internal teams while driving operational excellence and process optimisation.

• Lead hiring, onboarding, mentoring, technical assessments, training, and career development for support engineers and technical leads.

• Conduct regular one-on-ones, annual review, and career development discussions with direct reports.

• Be a hands-on technical leader supporting complex issues related to Spark Core, Spark SQL, Structured Streaming, Delta Lake, Lakehouse architecture, and Databricks Runtime technologies.

• Guide customers on Spark runtime optimisation, distributed systems performance, and best practices for scalable Data & AI workloads.

• Own Engineering JIRA escalations and proactively drive faster resolutions for customer-reported product issues.

• Maintain internal operational documentation, runbooks, and customer-facing knowledge base assets.

• Coordinate closely with Engineering and Backline Support engineering, customer experience intelligence teams to identify, reproduce, and report product defects effectively.

• Act as a strong customer advocate and collaborate with cloud partners to support mutual customer success.

• Participate in major incident management, escalation handling, on-call rotations, and critical production support activities.

Requirements:

• 10+ years of experience designing, building, troubleshooting, and supporting large-scale Data & AI applications using Python, Java, Scala, Spark, or related distributed technologies.

• Strong work experience of AI-enabled support workflows, agentic AI systems, Claude Skills workflows, RAG architectures, vector databases and any other operational automation frameworks.

• Proven development/delivery experience at a production scale in Databricks tech stacks like Model serving, Lakehouse, Delta, DLT, Lakeflow, Lakebase platforms is a strong plus.

• Experience using AI tools for troubleshooting, root-cause analysis, observability analysis, and support workflow acceleration.

• Strong hands-on expertise in Apache Spark, Spark SQL, Structured Streaming, Delta Lake, and distributed data processing systems.

• Experience leading production-scale workloads across Big Data, Hadoop, AI/ML, Kafka, Streaming, Data Science, or Analytics platforms.

• Strong troubleshooting and performance tuning experience for Spark and JVM-based distributed systems, including memory management, garbage collection, heap analysis, and thread dump analysis.

• Hands-on experience with AWS, Azure, or GCP cloud platforms.

• Proven experience managing globally distributed technical teams and handling high-severity customer escalations.

• Strong analytical, debugging, problem-solving, and distributed systems troubleshooting skills.

• Excellent written and verbal communication skills with strong customer-facing leadership abilities.

• Strong organisational, multitasking, stakeholder management, and operational leadership capabilities.

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

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.

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

You will report to the Sr. Manager, Forward Deployed Engineering.

The impact you will have:

• You will work on a variety of impactful customer technical projects which may include building reference architectures, how-to's and production grade MVPs / Greenfield projects

• 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 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:

• 8+ years 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.

• Comfortable writing code in either Python or Scala.

• 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 - 30% of the time

Nice to have: Databricks Certification

XML job scraping automation by YubHub

You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on investment.

This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products.

You will report directly to a DSA Manager within the Field Engineering organization.

The impact you will have:

• Engage with Solutions Architects to understand the full use case demand plan for prioritised customers
• Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
• Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks
• Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations
• Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise
• Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals
• Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs
• Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:

• Main use cases moving from ‘win’ to production
• Enablement / user growth plan
• Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision)
• Organic needs for current investment (e.g. cloud cost control, tuning & optimization)
• Executive and operational governance
• Provide internal and external updates
• KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression

• to your Technical GM

What we look for:

• 10+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers
• Programming experience in Python, SQL or Scala
• Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role
• Understanding of solution architecture related distributed data systems
• Understanding of how to attribute business value and outcomes to specific project deliverables
• Technical program, or project management including account, stakeholder and resource management accountability
• Experience resolving complex and important escalation with senior customer executives
• Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects
• Track record of overachievement against quota, Goals or similar objective targets
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
• Can travel up to 30% when needed

XML job scraping automation by YubHub

This is a hybrid technical and commercial role. Technically, the expectations are that you become the post-sales technical lead and trusted advisor across all Databricks products for the customer's top priority use cases. This requires you to use your technical skills and credibility to engage and communicate with technical/technical leadership stakeholders in our customer organisations, do architecture reviews, help with performance and cost optimisations, demonstrate new capabilities, remove blockers, etc.

In parallel, it is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestrating other focused/specialised teams within Databricks, and creating and driving onboarding plans.

While not a hands-on-keyboard role, this is a highly technical position where architectural skills in fields such as Data Architecture, Data Engineering, Data Warehousing, or Data Science are essential.

Key responsibilities include:

• Be the Databricks Architect working with customer technical teams working on use cases/data products, from development to go-live, addressing any technical challenges and blockers and providing guidance, best practices, and enablement
• Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
• Be the internal point of contact for any questions related to production/go live status of agreed-upon use cases within an account, often for multiple use cases within the largest and most complex organisations
• Leverage both Shared Services, User Education, Onboarding/Technical Services, and Support resources, along with escalating to expert-level technical teams to address the tasks that are beyond your scope of activities or expertise
• Create and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals
• Navigate Databricks Product and Engineering teams for new product innovations, private previews, and upgrade needs, presenting them to the customers when applicable for their ongoing developments
• Internal and external updates
• KPI reporting on the status of usage and customer health, risks, and blockers, product adoption, and use case progression to your Field Engineering leadership

XML job scraping automation by YubHub

As an analyst on the Payments Health Operations team, you will be charged with monitoring and maintaining payments performance for Stripe's largest users.

Responsibilities:

• Monitor authorization rates and performance for large users, responding to alerts of degradation, triaging and investigating the cause, and communicating your findings to the account team, banking partners, and card networks.

• Analyze cost checkers to ensure our cost models accuracy.

• Respond to performance inquiries from technical account managers, product support teams, and other internal stripe teams.

• Interface with Stripe’s financial partners across the world to communicate operational breakages and help drive resolutions.

• Provide fast, accurate responses to complex support inquiries from partners.

• Partner with internal and external teams to validate the accuracy of Stripe’s financial data.

• Introduce data and process efficiencies to meet the scale and speed of Stripe.

• Identify and automate inefficient operational processes to reduce manual workloads.

Who You Are:

We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to applyuetooth

Minimum Requirements:

• Have at least 1 year experience in a technical role, with experience in writing SQL queries to query relational databases.

• Have experience navigating the nuanced complexity of financial systems and solving large scale, technical challenges.

• Have strong analytical skills to investigate, prioritize, and identify the root cause of issues.

• Have experience managing communications and workflows with technical and non-technical teams across internal and external stakeholders.

• Are comfortable operating independently and thrive in a fast-paced environment to deliver results, with an ability to establish priorities and reliably execute against time-sensitive deadlines.

• Have experience identifying and triaging technical issues.

• Demonstrated track record of process improvement and proactive problem solving.

• Excellent written and verbal communication skills in both English and Spanish.

Preferred Qualifications:

• Payments expertise (working with financial partners, optimizing processing errors, managing payment costs).

• Experience operating in a high growth technology company.

• Python or Scala knowledge.

XML job scraping automation by YubHub

Our mission is to democratize finance for all.

An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history.

If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading.

About the team + role

We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact.

Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers.

We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards.

We're looking for an exceptional Software Engineer to help shape the future of our core platforms, products, and customer experiences.

FinTech is one of the most complex and rapidly evolving spaces in technology, and the challenges we're tackling require deep innovation, critical thinking, and scale that don't always have strong precedents.

What you'll do

Build, test, and release product-facing features with stringent correctness and scalability requirements.

Design, develop, and maintain backend services, APIs, and data models that power core product functionality.

Build and evolve distributed systems that support business-critical workflows, transactions, and integrations.

Own backend components throughout their full lifecycle, including requirements definition, design, implementation, testing, deployment, production support, and continuous improvement.

Collaborate with cross-functional engineering teams to deliver end-to-end product features and integrate with internal and external systems.

Improve system reliability, performance, and scalability by identifying bottlenecks, optimizing service interactions, and applying distributed systems best practices.

Write high-quality, well-tested code and participate in code reviews, design reviews, and technical discussions to maintain engineering excellence.

Participate in on-call rotations, incident response, root cause analysis, and remediation efforts to ensure backend service stability and availability.

Monitor and debug production systems using logs, metrics, and traces to validate system health and meet service-level objectives.

Ensure backend systems meet security, privacy, and compliance requirements through secure design and implementation.

Document system designs, APIs, data schemas, and operational considerations to support maintainability and knowledge sharing.

What you bring

• Bachelor’s degree (or foreign equivalent) in Computer Science, Computer Engineering, Software Engineering or a related field and 3 years of experience in the job offered or related occupation

• Education and/or experience must include:

• Java, Kotlin, GoLang, Python, or Scala;

• Backend service frameworks;

• RESTful APIs;

• PostgreSQL, MySQL, Redis, or DynamoDB;

• Distributed systems;

• Logging and monitoring tools;

• Automated testing frameworks.

What we offer

• Challenging, high-impact work to grow your career

• Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching

• Best in class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents

• Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more

• Employer-paid life & disability insurance, fertility benefits, and mental health benefits

• Time off to recharge including company holidays, paid time off, sick time, parental leave, and more!

• Exceptional office experience with catered meals, events, and comfortable workspaces.

In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits.

Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands.

The expected base pay range for this role is based on the location where the work will be performed and is aligned to the corresponding compensation zone.

Base Pay Range: $161,637 - $195,000 per year

XML job scraping automation by YubHub

Our mission is to democratize finance for all.

An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history.

If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading.

About the team + role

We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact.

Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers.

We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards.

We're looking for an exceptional Software Engineer to help shape the future of our core platforms, products, and customer experiences.

FinTech is one of the most complex and rapidly evolving spaces in technology, and the challenges we're tackling require deep innovation, critical thinking, and scale that don't always have strong precedents.

What you'll do

Build, test, and release product-facing features with stringent correctness and scalability requirements.

Design, develop, and maintain backend services, APIs, and data models that power core product functionality.

Build and evolve distributed systems that support business-critical workflows, transactions, and integrations.

Own backend components throughout their full lifecycle, including requirements definition, design, implementation, testing, deployment, production support, and continuous improvement.

Collaborate with cross-functional engineering teams to deliver end-to-end product features and integrate with internal and external systems.

Improve system reliability, performance, and scalability by identifying bottlenecks, optimizing service interactions, and applying distributed systems best practices.

Write high-quality, well-tested code and participate in code reviews, design reviews, and technical discussions to maintain engineering excellence.

Participate in on-call rotations, incident response, root cause analysis, and remediation efforts to ensure backend service stability and availability.

Monitor and debug production systems using logs, metrics, and traces to validate system health and meet service-level objectives.

Ensure backend systems meet security, privacy, and compliance requirements through secure design and implementation.

Document system designs, APIs, data schemas, and operational considerations to support maintainability and knowledge sharing.

What you bring

• Master’s degree in Computer Science, Computer Engineering, Software Engineering or a related field (or foreign equivalent)

• 1 year of experience in the job offered or related occupation

• Education and/or experience must include:

• Java, Kotlin, GoLang, Python, or Scala

• Backend service frameworks

• RESTful APIs

• PostgreSQL, MySQL, Redis, or DynamoDB

• Distributed systems

• Logging and monitoring tools

• Automated testing frameworks

What we offer

• Challenging, high-impact work to grow your career

• Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching

• Best in class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents

• Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more

• Employer-paid life & disability insurance, fertility benefits, and mental health benefits

• Time off to recharge including company holidays, paid time off, sick time, parental leave, and more!

• Exceptional office experience with catered meals, events, and comfortable workspaces.

In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits.

Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands.

The expected base pay range for this role is based on the location where the work will be performed and is aligned to the corresponding compensation zone.

Base Pay Range: $161,637 - $195,000 per year

XML job scraping automation by YubHub

Our mission is to democratize finance for all.

An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history.

If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading.

We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact.

Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers.

We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards.

We're looking for an exceptional Software Engineer to help shape the future of our core platforms, products, and customer experiences.

FinTech is one of the most complex and rapidly evolving spaces in technology, and the challenges we're tackling require deep innovation, critical thinking, and scale that don't always have strong precedents.

You'll take on a highly influential role shaping vision and execution across key strategic initiatives.

You'll partner with cross-functional leaders, contribute to high-impact decisions, guide complex projects from concept to completion, and mentor others on the team.

This is a role for someone who leverages modern tools and cutting-edge methodologies as a core part of how they solve problems, and raises the bar for everyone around them.

This role is based in our Menlo Park, CA, with in-person attendance expected at least three days per week.

At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community.

Our office experience is intentional, energizing, and designed to fully support high-performing teams.

What you'll do

• Design, develop, and operate scalable, highly available infrastructure systems that support core product functionality and internal services.

• Build, maintain, and evolve internal platforms, shared services, and tooling that enable reliable, efficient software development, testing, and deployment.

• Own infrastructure components throughout their full lifecycle, including requirements definition, design, implementation, deployment, production support, and continuous improvement.

• Collaborate with cross-functional engineering teams to support business-critical workloads, platform capabilities, and system integrations.

• Improve system reliability, performance, observability, and automation by identifying bottlenecks, reducing operational risk, and implementing engineering best practices.

• Participate in on-call rotations, incident response, root cause analysis, and remediation efforts to ensure production system stability and availability.

• Monitor production systems and infrastructure to identify issues, validate system health, and support capacity planning and scaling needs.

• Ensure infrastructure systems meet security, compliance, and operational standards in production environments.

• Document system designs, operational procedures, and changes to support maintainability and knowledge sharing.

What you bring

• Bachelor’s degree (or foreign equivalent) in Computer Science, Computer Engineering, Software Engineering or a related field and three years of experience in the job offered or related occupation.

• Education and/or experience must include:

• GoLang, Python, or Scala

• Kubernetes or Docker

• EC2, S3, IAM, or VPC

• Terraform or CloudFormation

• Prometheus, Grafana, or Datadog

• Buildkite, Jenkins, or GitHub Actions

• PostgreSQL, Redis, or DynamoDB

• Background checks required

What we offer

• Challenging, high-impact work to grow your career

• Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching

• Best in class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents

• Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more

• Employer-paid life & disability insurance, fertility benefits, and mental health benefits

• Time off to recharge including company holidays, paid time off, sick time, parental leave, and more!

• Exceptional office experience with catered meals, events, and comfortable workspaces.

In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits.

Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands.

The expected base pay range for this role is based on the location where the work will be performed and is aligned to the corresponding compensation zone.

Base Pay Range: $161,637 - $195,000 per year

XML job scraping automation by YubHub

Our mission is to democratize finance for all.

An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history.

If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading.

About the team + role

We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact.

Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers.

We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards.

We're looking for an exceptional Software Engineer to help shape the future of our core platforms, products, and customer experiences.

FinTech is one of the most complex and rapidly evolving spaces in technology, and the challenges we're tackling require deep innovation, critical thinking, and scale that don't always have strong precedents.

You'll take on a highly influential role shaping vision and execution across key strategic initiatives.

You'll partner with cross-functional leaders, contribute to high-impact decisions, guide complex projects from concept to completion, and mentor others on the team.

This is a role for someone who leverages modern tools and cutting-edge methodologies as a core part of how they solve problems, and raises the bar for everyone around them.

This role is based in our Menlo Park, CA, with in-person attendance expected at least three days per week.

At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community.

Our office experience is intentional, energizing, and designed to fully support high-performing teams.

What you'll do

• Design, develop, and operate scalable, highly available infrastructure systems that support core product functionality and internal services.

• Build, maintain, and evolve internal platforms, shared services, and tooling that enable reliable, efficient software development, testing, and deployment.

• Own infrastructure components throughout their full lifecycle, including requirements definition, design, implementation, deployment, production support, and continuous improvement.

• Collaborate with cross-functional engineering teams to support business-critical workloads, platform capabilities, and system integrations.

• Improve system reliability, performance, observability, and automation by identifying bottlenecks, reducing operational risk, and implementing engineering best practices.

• Participate in on-call rotations, incident response, root cause analysis, and remediation efforts to ensure production system stability and availability.

• Monitor production systems and infrastructure to identify issues, validate system health, and support capacity planning and scaling needs.

• Ensure infrastructure systems meet security, compliance, and operational standards in production environments.

• Document system designs, operational procedures, and changes to support maintainability and knowledge sharing.

• Telecommuting Permitted.

What you bring

• Master’s degree (or foreign equivalent) in Computer Science, Computer Engineering, Software Engineering or a related field and one year of experience in the job offered or related occupation.

• Education and/or experience must include:

• GoLang, Python, or Scala;

• Kubernetes or Docker;

• EC2, S3, IAM, or VPC;

• Terraform or CloudFormation;

• Prometheus, Grafana, or Datadog;

• Buildkite, Jenkins, or GitHub Actions;

• PostgreSQL, Redis, or DynamoDB.

• Background checks required

What we offer

• Challenging, high-impact work to grow your career

• Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching

• Best in class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents

• Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more

• Employer-paid life & disability insurance, fertility benefits, and mental health benefits

• Time off to recharge including company holidays, paid time off, sick time, parental leave, and more!

• Exceptional office experience with catered meals, events, and comfortable workspaces.

In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits.

Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands.

The expected base pay range for this role is based on the location where the work will be performed and is aligned to the corresponding compensation zone.

Base Pay Range: $161,637 - $195,000 per year

XML job scraping automation by YubHub

Our mission is to democratize finance for all.

An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history.

If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading.

We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact.

Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers.

We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards.

We're looking for an exceptional Software Engineer to help shape the future of our core platforms, products, and customer experiences.

FinTech is one of the most complex and rapidly evolving spaces in technology, and the challenges we're tackling require deep innovation, critical thinking, and scale that don't always have strong precedents.

You'll take on a highly influential role shaping vision and execution across key strategic initiatives.

You'll partner with cross-functional leaders, contribute to high-impact decisions, guide complex projects from concept to completion, and mentor others on the team.

This is a role for someone who leverages modern tools and cutting-edge methodologies as a core part of how they solve problems, and raises the bar for everyone around them.

This role is based in our Menlo Park, CA, with in-person attendance expected at least three days per week.

At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community.

Our office experience is intentional, energizing, and designed to fully support high-performing teams.

Build, test, and release product-facing features with stringent correctness and scalability requirements.

Design, develop, and maintain machine learning models and AI-powered services that support product features and decision-making systems.

Implement end-to-end ML pipelines, including data ingestion, feature engineering, model training, evaluation, and deployment.

Collaborate with product, data, and engineering teams to translate business problems into machine learning solutions.

Own ML components throughout their full lifecycle, including experimentation, implementation, deployment, production monitoring, and iteration.

Improve model performance, reliability, and scalability through experimentation, validation, and optimization.

Integrate ML models into production systems, ensuring low-latency inference and reliable service operation.

Monitor model performance and data quality in production, and participate in debugging, incident response, and remediation efforts.

Apply software engineering best practices to ML codebases, including testing, code reviews, documentation, and version control.

Ensure ML systems adhere to security, privacy, and compliance requirements when handling sensitive data.

Document model designs, assumptions, evaluation results, and operational considerations to support maintainability and knowledge sharing.

Telecommuting permitted.

XML job scraping automation by YubHub

We are building an elite team, applying frontier technologies to the world's biggest financial problems. We're looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact.

As a Software Engineer at Robinhood, you will be responsible for building, testing, and releasing product-facing features with stringent correctness and scalability requirements. You will design, develop, and maintain machine learning models and AI-powered services that support product features and decision-making systems.

Key Responsibilities:

• Build, test, and release product-facing features with stringent correctness and scalability requirements.
• Design, develop, and maintain machine learning models and AI-powered services that support product features and decision-making systems.
• Implement end-to-end ML pipelines, including data ingestion, feature engineering, model training, evaluation, and deployment.
• Collaborate with product, data, and engineering teams to translate business problems into machine learning solutions.
• Own ML components throughout their full lifecycle, including experimentation, implementation, deployment, production monitoring, and iteration.
• Improve model performance, reliability, and scalability through experimentation, validation, and optimization.
• Integrate ML models into production systems, ensuring low-latency inference and reliable service operation.
• Monitor model performance and data quality in production, and participate in debugging, incident response, and remediation efforts.

Requirements:

• Master's degree in Computer Science, Computer Engineering, Software Engineer or a related field (or foreign equivalent) and 1 year of experience in the job offered or related occupation.
• Education and/or experience must include: Python, Java, Scala, or GoLang; Machine learning frameworks; Data processing frameworks; Feature engineering tools; Supervised and unsupervised learning techniques; ML pipeline and deployment tools; and Model monitoring tools.

What We Offer:

• Challenging, high-impact work to grow your career
• Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching
• Best in class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents
• Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more
• Employer-paid life & disability insurance, fertility benefits, and mental health benefits
• Time off to recharge including company holidays, paid time off, sick time, parental leave, and more!

Base Pay Range: $161,637 - $200,000 per year

To Apply: Apply by clicking APPLY NOW. Indicate job code AIML4BMPI4 in your application.

XML job scraping automation by YubHub

Our mission is to democratize finance for all.

An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history.

If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading.

About the team + role

We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact.

Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers.

We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards.

We're looking for an exceptional Senior Software Engineer to help shape the future of our core platforms, products, and customer experiences.

FinTech is one of the most complex and rapidly evolving spaces in technology, and the challenges we're tackling require deep innovation, critical thinking, and scale that don't always have strong precedents.

What you'll do

Design, develop, and maintain complex machine learning models and AI-powered services that support core product features and decision-making systems.

Lead the design and implementation of end-to-end ML pipelines, including data ingestion, feature engineering, model training, evaluation, and deployment.

Partner closely with product, data, and engineering teams to translate complex business problems into scalable machine learning solutions.

Own ML components end to end, including experimentation, architecture, implementation, deployment, production monitoring, and iteration.

Drive improvements in model performance, reliability, and scalability through rigorous experimentation, validation, and optimization.

Design and oversee the integration of ML models into production systems, ensuring low-latency inference and reliable service operation.

Define monitoring strategies for model performance and data quality, and lead debugging, incident response, and remediation efforts.

Uphold high standards of software engineering in ML codebases through code reviews, testing strategies, and documentation.

Ensure ML systems meet security, privacy, and compliance requirements for sensitive data handling.

Author and maintain technical documentation for model designs, evaluations, and operational considerations.

What you bring

• Bachelor’s degree in Computer Science, Computer Engineering, Software Engineer or a related field (or foreign equivalent) and 5 years of progressively responsible experience in the job offered or related occupation.

Alternatively, a Master’s degree in Computer Science, Computer Engineering, Software Engineer or a related field (or foreign equivalent) and 3 years of experience in the job offered or related occupation is acceptable.

• Education and/or experience must include:

• Python, Java, Scala, or GoLang;

• Machine learning frameworks;

• Data processing and feature engineering frameworks;

• Supervised and unsupervised learning techniques;

• ML pipeline and deployment tools;

• Model monitoring and observability tools;

• Testing and artifact versioning tools.

What we offer

• Challenging, high-impact work to grow your career

• Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching

• Best in class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents

• Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more

• Employer-paid life & disability insurance, fertility benefits, and mental health benefits

• Time off to recharge including company holidays, paid time off, sick time, parental leave, and more!

• Exceptional office experience with catered meals, events, and comfortable workspaces.

In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits.

Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands.

The expected base pay range for this role is based on the location where the work will be performed and is aligned to the corresponding compensation zone.

Base Pay Range: $213,512 - $245,000 per year

XML job scraping automation by YubHub

Our mission is to democratize finance for all.

An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history.

If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading.

About the team + role

We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact.

Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers.

We’re a high-performing, fast-moving team with ethics at the center of everything we do.

Expectations are high, and so are the rewards.

We're looking for an exceptional Senior Software Engineer to help shape the future of our core platforms, products, and customer experiences.

FinTech is one of the most complex and rapidly evolving spaces in technology, and the challenges we're tackling require deep innovation, critical thinking, and scale that don't always have strong precedents.

You'll take on a highly influential role shaping vision and execution across key strategic initiatives.

You'll partner with cross-functional leaders, contribute to high-impact decisions, guide complex projects from concept to completion, and mentor others on the team.

This is a role for someone who leverages modern tools and cutting-edge methodologies as a core part of how they solve problems, and raises the bar for everyone around them.

This role is based in our Menlo Park, CA, with in-person attendance expected at least three days per week.

At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community.

Our office experience is intentional, energizing, and designed to fully support high-performing teams.

What you'll do

Design, develop, and maintain complex backend services, APIs, and data models that power core product functionality.

Design and evolve distributed systems that support business-critical workflows, transactions, and integrations.

Own backend components end to end, including requirements definition, architecture, implementation, testing, deployment, production support, and continuous improvement.

Drive cross-functional collaboration to deliver large, end-to-end product features and system integrations.

Improve backend system reliability, performance, and scalability by applying distributed systems best practices.

Write high-quality, well-tested code and provide technical guidance through code reviews and design discussions.

Lead incident response, root cause analysis, and remediation efforts to ensure backend service stability and availability.

Define monitoring and debugging strategies using logs, metrics, and traces to meet service-level objectives.

Ensure backend systems meet security, privacy, and compliance requirements through secure design and implementation.

Author and maintain technical documentation for system designs, APIs, and operational considerations.

Telecommuting permitted.

What you bring

• Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering or a related field (or foreign equivalent) and 5 years of progressively responsible post-baccalaureate experience in the job offered or related occupation.

• Education and/or experience must include:

• Java, Kotlin, GoLang, Python, or Scala;

• Backend service frameworks;

• RESTful and RPC APIs;

• PostgreSQL, MySQL, Redis, or DynamoDB;

• Distributed systems frameworks;

• Observability tools including logs, metrics, and traces;

• Automated testing frameworks.

• Background checks required.

What we offer

• Challenging, high-impact work to grow your career

• Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching

• Best in class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents

• Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more

• Employer-paid life & disability insurance, fertility benefits, and mental health benefits

• Time off to recharge including company holidays, paid time off, sick time, parental leave, and more!

• Exceptional office experience with catered meals, events, and comfortable workspaces.

In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits.

Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands.

The expected base pay range for this role is based on the location where the work will be performed and is aligned to the corresponding compensation zone.

Base Pay Range: $213,512 - $230,000 per year

XML job scraping automation by YubHub

Our mission is to democratize finance for all.

An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history.

If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading.

We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact.

Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers.

We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards.

We're looking for an exceptional Senior Software Engineer to help shape the future of our core platforms, products, and customer experiences.

FinTech is one of the most complex and rapidly evolving spaces in technology, and the challenges we're tackling require deep innovation, critical thinking, and scale that don't always have strong precedents.

You'll take on a highly influential role shaping vision and execution across key strategic initiatives.

You'll partner with cross-functional leaders, contribute to high-impact decisions, guide complex projects from concept to completion, and mentor others on the team.

This is a role for someone who leverages modern tools and cutting-edge methodologies as a core part of how they solve problems, and raises the bar for everyone around them.

This role is based in our Menlo Park, CA, with in-person attendance expected at least three days per week.

At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community.

Our office experience is intentional, energizing, and designed to fully support high-performing teams.

Design, develop, and operate scalable, highly available infrastructure systems that support core product functionality and internal services.

Lead the design, development, and evolution of internal platforms, shared services, and tooling that enable reliable, efficient software development, testing, and deployment at scale.

Own infrastructure components end to end, including requirements definition, architectural design, implementation, deployment, production support, and continuous improvement.

Drive cross-functional collaboration across engineering teams to support complex, business-critical workloads, platform capabilities, and large-scale system integrations.

Identify systemic reliability, performance, scalability, and operational challenges and implement durable solutions through automation, observability, and engineering best practices.

Provide technical leadership during on-call rotations, major incident response, root cause analysis, and remediation efforts to ensure production system stability and availability.

Define and guide monitoring, capacity planning, and scaling strategies for production systems and infrastructure.

Ensure infrastructure systems meet and advance security, compliance, and operational standards in production environments.

Mentor and guide engineers, influence technical direction, and review designs to improve overall infrastructure quality and maintainability.

Author and maintain high-quality technical documentation, design proposals, and operational guidance.

Telecommuting permitted.

Bachelor’s degree (or foreign equivalent) in Computer Science, Computer Engineering, Software Engineering or a related field and 5 years of progressively responsible post-baccalaureate experience in the job offered or related occupation.

Education and/or experience must include:

GoLang, Python, or Scala;

Kubernetes and Docker;

EC2, S3, IAM, and VPC;

Terraform and CloudFormation;

Prometheus, Grafana, and Datadog;

Buildkite, Jenkins, or GitHub Actions;

PostgreSQL, Redis, and DynamoDB;

and Kafka or Kinesis.

Background checks required.

Challenging, high-impact work to grow your career

Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching

Best in class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents

Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more

Employer-paid life & disability insurance, fertility benefits, and mental health benefits

Time off to recharge including company holidays, paid time off, sick time, parental leave, and more!

Exceptional office experience with catered meals, events, and comfortable workspaces.

In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits.

Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands.

The expected base pay range for this role is based on the location where the work will be performed and is aligned to the corresponding compensation zone.

Base Pay Range: $213,512 - $230,000 per year

XML job scraping automation by YubHub

Our mission is to democratize finance for all.

An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history.

If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading.

We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact.

Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers.

We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards.

We're looking for an exceptional Senior Product Designer to help shape the future of our core platforms, products, and customer experiences.

FinTech is one of the most complex and rapidly evolving spaces in technology, and the challenges we're tackling require deep innovation, critical thinking, and scale that don't always have strong precedents.

You'll take on a highly influential role shaping vision and execution across key strategic initiatives.

You'll partner with cross-functional leaders, contribute to high-impact decisions, guide complex projects from concept to completion, and mentor others on the team.

This is a role for someone who leverages modern tools and cutting-edge methodologies as a core part of how they solve problems, and raises the bar for everyone around them.

This role is based in our Menlo Park, CA, with in-person attendance expected at least three days per week.

At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community.

Our office experience is intentional, energizing, and designed to fully support high-performing teams.

What you'll do

The Senior Product Designer position at Robinhood Markets, Inc. will perform the following job duties:

• Execute the technical design of high-priority digital product features, managing the full lifecycle from problem definition and user research through to high-fidelity prototyping and final implementation.

• Synthesize intricate business objectives and technical specifications into clear, intuitive, and elegant UI/UX solutions for complex financial products.

• Drive the development of shared design systems, digital component libraries, and interaction patterns to ensure technical scalability and visual coherence across all platforms.

• Facilitate design critiques and peer reviews, providing expert-level feedback to ensure that digital assets and user flows meet Robinhood’s standards for craft, usability, and technical integrity.

• Refine and optimize digital designs and interface elements by analyzing user feedback, data insights, and engineering constraints to improve product performance.

What you bring

• Bachelor’s degree in Design, Graphic Design, Interaction Design, Human-Computer Interaction or a related field (or foreign equivalent) and five years of progressively responsible experience in the job offered or related occupation.

• Education and/or experience must include:

• GoLang, Python, or Scala

• Kubernetes and Docker

• EC2, S3, IAM, and VPC

• Terraform and CloudFormation

• Prometheus, Grafana, and Datadog

• Buildkite, Jenkins, or GitHub Actions

• PostgreSQL, Redis, and DynamoDB

• Kafka or Kinesis

What we offer

• Challenging, high-impact work to grow your career

• Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching

• Best in class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents

• Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more

• Employer-paid life & disability insurance, fertility benefits, and mental health benefits

• Time off to recharge including company holidays, paid time off, sick time, parental leave, and more!

• Exceptional office experience with catered meals, events, and comfortable workspaces.

In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits.

Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands.

The expected base pay range for this role is based on the location where the work will be performed and is aligned to the corresponding compensation zone.

Base Pay Range: $186,763 - $195,000 per year

XML job scraping automation by YubHub

This is a hybrid technical and commercial role that requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation. You will report directly to a DSA Manager within the Field Engineering organization.

The impact you will have:

• Engage with Solutions Architects to understand the full use case demand plan for prioritised customers
• Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
• Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks
• Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations
• Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise
• Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals
• Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs
• Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:

• Main use cases moving from ‘win’ to production
• Enablement / user growth plan
• Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision)
• Organic needs for current investment (e.g. cloud cost control, tuning & optimization)
• Executive and operational governance
• Provide internal and external updates
• KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression

What we look for:

• 5+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers
• Programming experience in Python, SQL or Scala
• Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role
• Understanding of solution architecture related distributed data systems
• Understanding of how to attribute business value and outcomes to specific project deliverables
• Technical program, or project management including account, stakeholder and resource management accountability
• Experience resolving complex and important escalation with senior customer executives
• Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects
• Track record of overachievement against quota, Goals or similar objective targets
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
• Can travel up to 30% when needed

XML job scraping automation by YubHub

You will work closely with cross-functional teams to understand business requirements, architect scalable solutions, and implement data solutions and infrastructure for our Data Platform. The ideal candidate will have a passion for leveraging data to drive business impact, strong technical skills, and experience with modern data technologies.

Responsibilities:

• Design, build, and maintain infrastructure and scalable frameworks to support data ingestion, processing, and analysis.
• Collaborate with stakeholders, analysts, and product teams to understand business requirements and translate them into technical solutions.
• Architect and implement data solutions using modern data technologies such as Kafka, Spark, Hive, Hudi, Presto, Airflow, and cloud-based services like AWS Lakeformation, Glue and Athena.
• Design and implement frameworks and solutions for performance, reliability, and cost-efficiency.
• Ensure data quality, integrity, and security throughout the data lifecycle.
• Stay current with emerging technologies and best practices in big data technologies
• Mentor early in career engineers and contribute to a culture of continuous learning and improvement

Qualifications:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 5+ years of experience in software development or a related field.
• Strong proficiency in programming languages such as Python, Java, or Scala.
• Strong experience with building frameworks for big data technologies such as Spark, Kafka, Hive, and distributed computing systems.
• Experience with AWS technologies at scale
• Solid understanding of software engineering principles, including object-oriented and functional programming paradigms, design patterns, and code quality practices.
• Excellent problem-solving and analytical skills.
• Strong verbal & written communication skills, with the ability to work effectively in a cross-functional team environment.

Desired:

• Bias to action, ability to iterate and ship rapidly
• Passion to build data products, prior projects in this area

XML job scraping automation by YubHub

As a Software Engineer, Ads Product, you will work on systems that operate at massive scale, directly affect the business, and are being rebuilt with modern infrastructure and AI at the centre.

Your responsibilities will include building and shipping product features across the X Ads Platform, working on systems related to ad delivery, targeting, optimisation, measurement, and advertiser experience, and contributing to distributed systems that need to be reliable, fast, and scalable.

To succeed in this role, you will need strong software engineering fundamentals, the ability to write clean, maintainable code, and a bias towards action. You will also need to be comfortable working through ambiguity and have a strong ownership mindset.

Preferred skills and experience include experience with ads, recommendations, search, ranking, marketplaces, payments, analytics, or growth systems, as well as experience working with large-scale backend systems or data processing pipelines.

In terms of technical skills, you will need to be proficient in at least one programming language, such as React, Golang, Python, Rust, gRPC, Java, or Scala, and have experience with machine learning, LLMs, experimentation, ranking, or optimisation systems.

The base salary for this role is $150,000 - $350,000 USD, and the company offers a comprehensive rewards package, including equity, medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.

XML job scraping automation by YubHub

As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands.

We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! .

Join the team as Twilio's next Software Engineer on our Data & Analytics Platform

Twilio powers real-time business communications and data solutions that help companies and developers worldwide build better applications and customer experiences. Although we're headquartered in San Francisco, we have presence throughout South America, Europe, Asia and Australia. We're on a journey to becoming a global company that actively opposes racism and all forms of oppression and bias. At Twilio, we support diversity, equity & inclusion wherever we do business.

About the job

We are looking for a talented and experienced Software Engineer to join our Data Platform team. In this role, you will play a crucial part in designing, building, and optimizing our platform to support a wide range of data-driven initiatives. You will work closely with cross-functional teams to understand business requirements, architect scalable solutions, and implement data solutions and infrastructure for our Data Platform.

The ideal candidate will have a passion for leveraging data to drive business impact, strong technical skills, and experience with modern data technologies.

Responsibilities

In this role, you’ll:

• Design, build, and maintain infrastructure and scalable frameworks to support data ingestion, processing, and analysis.

• Collaborate with stakeholders, analysts, and product teams to understand business requirements and translate them into technical solutions.

• Architect and implement data solutions using modern data technologies such as Kafka, Spark, Hive, Hudi, Presto, Airflow, and cloud-based services like AWS Lakeformation, Glue and Athena.

• Design and implement frameworks and solutions for performance, reliability, and cost-efficiency.

• Ensure data quality, integrity, and security throughout the data lifecycle.

• Stay current with emerging technologies and best practices in big data technologies

• Mentor early in career engineers and contribute to a culture of continuous learning and improvement

Qualifications

Not all applicants will have skills that match a job description exactly. Twilio values diverse experiences in other industries, and we encourage everyone who meets the required qualifications to apply. While having “desired” qualifications make for a strong candidate, we encourage applicants with alternative experiences to also apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio.

Required:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

• 5+ years of experience in software development or a related field.

• Strong proficiency in programming languages such as Python, Java, or Scala.

• Strong experience with building frameworks for big data technologies such as Spark, Kafka, Hive, and distributed computing systems.

• Experience with AWS technologies at scale

• Solid understanding of software engineering principles, including object-oriented and functional programming paradigms, design patterns, and code quality practices.

• Excellent problem-solving and analytical skills.

• Strong verbal & written communication skills, with the ability to work effectively in a cross-functional team environment.

Desired:

• Bias to action, ability to iterate and ship rapidly

• Passion to build data products, prior projects in this area

What We Offer

There are many benefits to working at Twilio, including, in addition to competitive pay, things like generous time-off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.

Compensation

*Please note this role is open to candidates outside of California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State. The information below is provided for candidates hired in those locations only.

The estimated pay ranges for this role are as follows:

• Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $138,700 - $173,400

• Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $146,800 - $183,600

• Based in the San Francisco Bay area, California: $163,100 - $203,900.

• This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave.

Applications for this role are intended to be accepted until 6/30/2026, but may change based on business needs.

Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values , something we call Twilio Magic. Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now!

If this role isn't what you're looking for, please consider other open positions.

Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

XML job scraping automation by YubHub

The SSA teams help customers navigate evaluations and successful production planning for their business intelligence workloads while aligning their technical roadmap with the Databricks Data Intelligence Platform. As a deep go-to expert reporting to the Specialist Field Engineering Manager, you will continue to strengthen your technical skills through mentorship, continuous learning, and internal training programs. In this role, you will establish yourself as a leader in the data engineering and warehousing specialty.

Key responsibilities include:

• Providing technical leadership to guide strategic customers to successful implementations on big data projects and large-scale data warehousing workloads.
• Proving the value of the Databricks Intelligence Platform for customer workloads by architecting production workloads, including end-to-end pipeline load performance testing and optimization.
• Architecting production-level data pipelines, including end-to-end pipeline load performance testing and optimization.
• Becoming a technical expert in an area such as data lake technology, big data streaming, or big data ingestion and workflows.
• Assisting Solution Architects with more advanced aspects of the technical sale, including custom proof of concept content, estimating workload sizing, and custom architectures.
• Providing tutorials and training to improve community adoption (including hackathons and conference presentations).
• Contributing to the Databricks Community.

Requirements include:

• 5+ years of experience in a technical role with deep expertise across data engineering and data warehousing.
• Software / Data Engineering: Hands-on experience with data ingestion, streaming technologies (e.g., Spark Streaming, Kafka), performance tuning, troubleshooting, and debugging Spark or other big data solutions.
• Data Applications Engineering: Experience building data-driven use cases, such as risk modeling, fraud detection, and customer lifetime value (LTV).
• Data Observability: Experience with SIEM tools (e.g., Splunk, Elastic, Sentinel), telemetry/high-velocity log ingestion, and anomaly detection.
• Proven track record of maintaining, scaling, and extending production data systems to evolve with complex business needs.
• Deep expertise across multiple core data engineering domains, including designing and scaling cost-efficient, high-performance data workloads (ETL/ELT, analytics) in cloud environments, building and migrating large-scale data pipelines, and developing and managing modern lakehouse and warehouse systems.
• Production programming experience in SQL and at least one of the following: Python, Scala, or Java.
• Strong familiarity with cloud infrastructure providers (AWS, Azure, or GCP).
• Degree or Equivalent: Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent professional experience.
• Prior customer-facing experience in a pre-sales or post-sales technical role.
• Ability to meet expectations for technical training and role-specific milestones within 6 months of hire.
• Willingness to travel up to 30% as needed.

XML job scraping automation by YubHub

We're looking for a skilled Software Engineer to join our team. As a Software Engineer at Stripe, you will design, build, and maintain APIs, services, and systems across our engineering teams using Ruby, Java, and Scala.

Responsibilities

• Design, build, and maintain APIs, services, and systems across Stripes engineering teams using Ruby, Java, and Scala
• Build, develop, test and deploy software infrastructure
• Design and develop software systems using scientific analysis and mathematical models to predict and measure outcome and consequences of design
• Develop and direct software system testing and validation procedures, programming, and documentation
• Debug production issues across services and multiple levels of the stack
• Analyze user needs and software requirements to determine the feasibility of design within time and cost constraints
• Work with engineers across the company to build new features at large-scale
• Build new systems to securely store and reliably modify production systems
• Improve engineering standards, tooling, and processes.

Requirements

• Bachelor’s degree or foreign equivalent in Computer Science or related field
• 2 years of experience in software development
• 2 years of experience working with Ruby, Java, Scala, or Go
• 2 years of experience implementing industry standard design patterns
• 2 years of experience building full-stack or backend applications at scale
• 2 years of experience designing, building, and maintaining APIs, services, and distributed systems at scale
• 2 years of experience writing unit tests and performing manual testing of complex software changes

Salary

$190,400 - $285,600/yr.

Benefits

• Equity
• Company bonus or sales commissions/bonuses
• 401(k) plan
• Medical, dental, and vision benefits
• Wellness stipends

Additional Information

40 hours/week 50% Telecommuting Permitted Multiple Positions Available

XML job scraping automation by YubHub

This role directly supports portfolio management teams across Millennium, with operational excellence at the core.

Our efforts are focused on delivering the highest quality returns to our investors – providing a world-class and reliable trading and technology platform is essential to this mission.

This is a unique opportunity to drive significant value creation for one of the world’s leading investment managers.

Principal Responsibilities:

• Build, develop and maintain a reliable, scalable, and integrated platform for trading strategy monitoring, reporting, and operations.

• Work with portfolio managers and other internal customers to reduce operational risk through:

• Implementation of monitoring, reporting, and trade workflow solutions.

• Implementation of automated systems and processes focused on trading and operations.

• Streamlining development and deployment processes.

• Implementation of MCP servers focused on assisting rest of the Support Engineering team as well as proactively monitoring production environment.

Technical Qualification:

• 5+ years of development experience in Python.

• Experience working in a Linux / Unix environment.

• Experience working with PostgreSQL or other relational databases.

• Ability to understand and discuss requirements from portfolio managers.

Preferred Skills and Experience:

• Understanding of NLP, supervised/non-supervised learning and Generative AI models.

• Experience operating and monitoring low-latency trading environments.

• Familiarity with quantitative finance and electronic trading concepts.

• Familiarity with financial data.

• Broad understanding of equities, futures, FX, or other financial instruments.

• Experience designing and developing distributed systems with a focus on backend development in C/C++, Java, Scala, Go, or C#.

• Experience with Apache / Confluent Kafka.

• Experience automating SDLC pipelines (e.g., Jenkins, TeamCity, or AWS CodePipeline).

• Experience with containerization and orchestration technologies.

• Experience building and deploying systems that utilize services provided by AWS, GCP or Azure.

• Contributions to open-source projects.

The estimated base salary range for this position is $100,000 to $175,000, which is specific to New York and may change in the future.

XML job scraping automation by YubHub

As a Staff Engineer, you'll lead the design and evolution of data, backend, and ML infrastructure systems powering Spotify's content intelligence capabilities. You'll build scalable infrastructure for multimodal content processing across audio, video, text, and image understanding pipelines.

You'll partner closely with Product Managers, Engineering Managers, and senior engineers to shape technical strategy across the Content Intelligence Product Area. You'll drive architectural decisions across distributed systems, ML infrastructure, data processing platforms, and platform reliability.

Your responsibilities will include improving infrastructure supporting AI and LLM-enabled workflows, developing reliable and cost-efficient systems for high-throughput content processing and real-time intelligence use cases, and collaborating across organizational boundaries to drive alignment, technical quality, and long-term platform investments.

You'll also mentor engineers and contribute to raising the engineering bar across the organization.

XML job scraping automation by YubHub

That means turning complexity into clarity across hundreds of touchpoints,from our mobile and desktop apps to the smart speakers, TVs, cars, and integrations where Spotify shows up every day. If it touches a consumer, we shape it.

We bring deep insight into human behavior, design, and technology to craft experiences that feel intuitive, expressive, and unmistakably Spotify.

The Enrichment & Content Intelligence team sits within Content Platform in the Experience Mission. We build the metadata-resolution and content-enrichment infrastructure that powers how Spotify understands music and video content at global scale.

Our systems help answer foundational questions across the platform: which tracks are the same recording, which music videos match which audio tracks, who wrote and performed a song, and how content relationships connect across Spotify's catalog.

Our infrastructure powers products and experiences used by millions of listeners, artists, and creators every day. From recommendations and charts to royalties and artist tooling, the work we do directly shapes how content is understood and surfaced across Spotify.

We're looking for a Senior Machine Learning Engineer to help evolve the machine learning systems behind Recording Groups, Music Video Resolution, SongDNA, and the Music Knowledge Graph.

This role sits at the intersection of multimodal machine learning, entity resolution, and production-scale engineering, with opportunities to work across audio, video, and metadata understanding problems at massive scale.

Responsibilities

• Own and evolve large-scale ML pipelines powering Spotify's content-resolution systems

• Lead development of multimodal embedding frameworks supporting multimodal understanding, music video matching, SongDNA

• Improve entity-resolution systems across music and video content, helping Spotify better understand relationships between recordings, versions, and content formats

• Design and run experiments to improve precision, recall, and overall content-quality outcomes using offline evaluation, golden datasets, A/B testing, and impact analysis

• Build scalable ML evaluation and monitoring infrastructure, including standardized datasets, retraining workflows, and continuous improvement systems

• Contribute to the evolution of the Music Knowledge Graph by improving production ML capabilities, observability, and model lifecycle management

• Partner closely with Product Managers, Data Scientists, and engineering teams across Content Platform and the wider Experience Mission

• Help shape technical strategy for the squad and contribute to long-term ML direction across the product area

• Mentor engineers and contribute to a strong culture of technical collaboration and experimentation

Requirements

• Solid experience building, deploying, and maintaining machine learning systems in production at scale

• Strong experience training, evaluating, and operating ML models using modern frameworks such as PyTorch or TensorFlow

• Experience working with multimodal machine learning systems across audio, computer vision, text embeddings, or related domains

• Understanding of entity resolution, deduplication, record linkage, or large-scale matching problems, ideally across multiple content modalities

• Ability to design evaluation systems that balance model quality, operational performance, and real-world impact

• Experience working with large-scale distributed data processing systems and ML infrastructure

• Effective communication across engineering, product, and data science stakeholders

• Comfortable leading technical initiatives and influencing engineering direction within a team

• Experience with Scio, Dataflow, Flyte, BigQuery, or similar distributed processing frameworks is a plus

• Experience with Scala is a plus

• Experience with computer vision, video understanding, multimodal embeddings, or recommendation systems is a strong plus

Where You'll Be

This role is based in New York City

We offer you the flexibility to work where you work best! There will be some in-person meetings, but still allows for flexibility to work from home.

XML job scraping automation by YubHub

The impact you will have:

• Form successful relationships with Greenfield (New Logo) clients within the start-up market in France, providing technical and business value to Databricks customers in collaboration with Account Executives.
• Operate as an expert in big data analytics to excite customers about Databricks. You will develop into a 'champion' and trusted advisor on multiple issues of architecture, design, and implementation to lead to the successful adoption of the Databricks Data Intelligence Platform.
• Scale best practices in your field and support customers by authoring reference architectures, how-tos, and demo applications, and help build the Databricks community in your region by leading workshops, seminars, and meet-ups.
• Grow your knowledge and expertise to the level of a technical and/or industry specialist.

What we look for:

• Engage customers in technical sales, challenge their questions, guide clear outcomes, and communicate technical and value propositions.
• Develop customer relationships and build internal partnerships with account executives and teams.
• Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Spark.
• Proficient with Big Data Analytics technologies, including hands-on expertise with complex proofs-of-concept and public cloud platform(s).
• Experienced in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences requiring an ability to context switch in levels of technical depth.

Mandatory requirements:

• The location for the role should be in the Paris region (i.e. within a commutable distance for a hybrid schedule).
• Flexibility to travel (up to 30% as required for customer meetings, events and trainings).
• Business proficiency in both French and English required.

XML job scraping automation by YubHub

The Content Intelligence Product Area is a core part of Spotify's Content Platform within the Experience mission. We build systems that create deep, machine-readable understanding of content across audio, video, text, and images before it reaches users. This enables automation, safety, and entirely new product experiences. Our work powers content enrichment, quality analysis, annotation platforms, and scalable intelligence systems that allow teams across Spotify to build without needing direct content understanding expertise.

We're now looking for a Staff Engineer to help build and scale foundational infrastructure powering content understanding across Spotify. This role sits at the intersection of backend systems, ML infrastructure, distributed data systems, and AI-enabled platform capabilities. You'll help shape infrastructure strategy across the product area while partnering with senior engineers, product leaders, and cross-functional teams to execute on long-term technical investments.

What You'll Do

• Lead the design and evolution of data, backend and ML infrastructure systems powering Spotify's content intelligence capabilities
• Build scalable infrastructure for multimodal content processing across audio, video, text, and image understanding pipelines
• Partner closely with Product Managers, Engineering Managers, and senior engineers to shape technical strategy across the Content Intelligence Product Area
• Drive architectural decisions across distributed systems, ML infrastructure, data processing platforms, and platform reliability
• Improve infrastructure supporting AI and LLM-enabled workflows, including podcast and audiobook transcript processing, metadata enrichment, and content understanding systems
• Develop reliable and cost-efficient systems for high-throughput content processing and real-time intelligence use cases
• Collaborate across organizational boundaries to drive alignment, technical quality, and long-term platform investments
• Mentor engineers and contribute to raising the engineering bar across the organization

Who You Are

• You have extensive experience building and scaling large-scale backend and infrastructure systems in distributed environments
• You have strong technical judgment and can balance scalability, reliability, cost, and product needs effectively
• You have strong programming experience in Java, Python, and/or Scala
• You understand the challenges of building systems that process high-volume multimedia or real-time workloads
• You have worked with systems and products that use AI and LLMs at large scale and can demonstrate direct experience in building such products. You can demonstrate a good understanding of the quality scale and cost trade-offs of these technologies.
• You are comfortable operating in ambiguous, fast-moving environments and helping shape technical direction from the ground up
• You communicate effectively across engineering, product, and leadership stakeholders
• You have experience leading complex technical initiatives that span multiple teams or organizational areas
• You care deeply about collaboration, mentorship, and creating alignment across teams
• Exposure to search infrastructure, recommendation systems, or audio processing systems is a strong plus
• Experience working in startup environments or early-stage product areas where ownership and adaptability are critical is highly valued

Where You'll Be

• This role is based in London or Stockholm
• We offer you the flexibility to work where you work best! There will be some in-person meetings, but still allows for flexibility to work from home.

XML job scraping automation by YubHub

As a Data Engineer at tvScientific, you will be a key player in implementing the robust data infrastructure to power our data-heavy company. You will collaborate with our cross-functional teams to evolve our core data pipelines, design for efficiency as we scale, and store data in optimal engines and formats.

Responsibilities:

• Design and implement robust data infrastructure in AWS, using Spark with Scala
• Evolve our core data pipelines to efficiently scale for our massive growth
• Store data in optimal engines and formats, matching your designs to our performance needs and cost factors
• Collaborate with our cross-functional teams to design data solutions that meet business needs
• Design and implement knowledge graphs, exposing their functionality both via Batch Processing and APIs
• Leverage and optimize AWS resources while designing for scale
• Collaborate closely with our Data Science and Product teams

How we'll define success:

• Successful design and implementation of scalable and efficient data infrastructure
• Timely delivery and optimization of data assets and APIs
• High attention to detail in implementation of automated data quality checks
• Effective collaboration with cross-functional teams

What we're looking for:

• Production data engineering experience
• Proficiency in Spark and Scala, with proven experience building data infrastructure in Spark using Scala is preferred
• Experience in delivering significant technical initiatives and building reliable, large scale services
• Experience in delivering APIs backed by relationship-heavy datasets
• Familiarity with data lakes, cloud warehouses, and storage formats
• Strong proficiency in AWS services
• Expertise in SQL for data manipulation and extraction
• Excellent written and verbal communication skills
• Bachelor's degree in Computer Science or a related field
• Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs
• Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review)
• High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables

Nice-to-haves:

• Experience in adtech
• Experience implementing data governance practices, including data quality, metadata management, and access controls
• Strong understanding of privacy-by-design principles and handling of sensitive or regulated data
• Familiarity with data table formats like Apache Iceberg, Delta
• Previous experience building out a Data Engineering function
• Proven experience working closely with Data Science teams on machine learning pipelines

In-Office Requirement Statement:

• We recognize that the ideal environment for work is situational and may differ across departments.

Relocation Statement:

• This position is not eligible for relocation assistance.

At tvScientific, we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position.

US based applicants only

$123,696-$254,667 USD

Our Commitment to Inclusion:

Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

XML job scraping automation by YubHub

The Configuration Platform team owns the systems that move configuration and feature flags across every Databricks service. The platform decouples code deployment from feature enablement for thousands of internal engineers, transports configuration across AWS, Azure, and GCP to every Databricks compute surface, and serves 25,000+ active flags and over 300 million evaluations per second at ~10μs p95 latency.

As a Senior Engineering Manager, you will lead a team that directly shapes how thousands of Databricks engineers ship, ramp, and roll back changes every day. You will reduce the rate and blast radius of customer-impacting incidents caused by configuration and feature changes, through stronger guardrails, validation, and graduated rollout patterns. You will close the loop between 'bad change' and automated mitigation, driving company-wide MTTR down through investments in health-mediated releases, auto-rollback, and zero-downtime configuration delivery.

You will evolve the Configuration Platform user experience into a frictionless, opinionated set of surfaces (UI, CLI, agentic) where engineers author, review, and roll out changes safely without thinking about the internals. You will grow the team into a Staff and Principal attracting org whose technical decisions shape how the company balances speed and reliability.

We are looking for someone with 5+ years of experience managing backend, infrastructure, or platform teams of roughly 7 to 15 engineers, ideally in service frameworks, feature flags, configuration systems, release safety, production reliability, or other internal platforms. You should have a strong distributed systems and infrastructure background, including Java/Scala services, RPC and routing layers, configuration systems, Kubernetes-based microservices, and multi-cloud or multi-region deployments.

You should be comfortable staying close to the code, leading design reviews, and contributing technically alongside the team. You should have a demonstrated track record managing, growing, and retaining high-performing teams. You should be comfortable partnering with senior+ engineers on design reviews, roadmap, and cross-team execution while letting strong ICs own technical details.

Operational experience owning a high-availability platform with on-call, incident response, and measurable reliability improvements is a plus. A Bachelor's degree in Computer Science (Master's or higher level of education preferred) is required.

XML job scraping automation by YubHub

As a Senior Data Scientist on the Data Team, you will help build a data-driven culture within Databricks by helping solve product and business challenges. The Data team also functions as a in-house, production 'customer' that dogfoods Databricks and drives the future direction of the products.

The impact you will have:

• Shape the direction of some of our key data science areas for 2020 - usage forecasting, product analytics, user behaviour and funnel analysis.
• Work closely with Product Management, Sales, Customer Success and other stakeholders to understand product usage patterns and trends and to make data-driven decisions and forecasts.
• Manage stakeholders for their focus area - gather changing requirements, define project OKRs and milestones, and communicate progress and results to a non-technical audience.
• Mentor and guide data-scientists on the team by helping with project planning, technical decisions, and code and document review.
• Build self-serving internal data products to make data simple within the company.

What we look for:

• Experience in applying Data Science / ML in production to build data-driven products for solving business problems.
• Familiarity with Product Analytics - understanding and tracking customer and user behaviour using lenses like adoption, churn, cohorts and funnel analysis.
• Experience collaborating with and understanding the needs of stakeholders from a variety of business functions.
• Strong coding skills in general-purpose languages like Scala or Python, and familiarity with software engineering principles around testing, code reviews and deployment.
• Proficient in data analysis and visualization using tools like R and Python.
• Experience with distributed data processing systems like Spark and Hadoop, and proficiency in SQL.
• BS/MS/PhD in Computer Science, or a related field

XML job scraping automation by YubHub

You will engage closely with a wide array of stakeholders, including executive, product, data, and design teams, providing high-level support for data infrastructure challenges, advising on technical data issues, and implementing self-serve solutions.

You will develop sophisticated AI-based analytical tools that integrate with the data pipeline to provide deep insights into key business metrics, including customer growth and operational efficiency.

You will architect and manage extensive, sophisticated data sets to meet complex business needs and requirements.

You will make a meaningful impact on the lives of our community members.

You will collaborate and mentor other senior engineers while providing thoughtful guidance using code, design, and architecture reviews.

You will contribute to defining technical direction, planning the roadmap, escalating issues, and synthesizing feedback to ensure team success.

You will estimate and manage team project timelines and risks.

You will participate in hiring and onboarding for new team members.

You will lead cross-team engineering initiatives.

You will constantly learn about new technologies and industry standards in data engineering.

XML job scraping automation by YubHub

Your key responsibilities will be:

Data Pipeline Development: design, build, and maintain data pipelines to collect, process, and transform data from various sources into a usable format for analysis and reporting.

Data Integration: integrate data from different sources, including databases, APIs, and third-party services, ensuring data consistency and accuracy.

Database Management: design and manage databases, both relational (RDBMS) and non-relational (NoSQL), optimizing for performance and scalability.

Data Warehousing: develop and maintain data warehouses and data lakes, ensuring that data storage solutions are efficient and support analytical needs.

ETL Processes: implement Extract, Transform, Load (ETL) processes to move and transform data, ensuring that data is clean, accurate, and accessible for analytics.

Data Quality and Governance: monitor and maintain data quality, implementing data governance practices to ensure data integrity and compliance with standards and regulations.

Performance Optimization: optimize data processing and storage for performance and cost-efficiency, including indexing, partitioning, and query optimization.

Data Security: implement and enforce security measures to protect sensitive data from unauthorized access and breaches.

Documentation and Reporting: document data processes, architectures, and workflows, and create reports on data pipeline performance and data quality.

Improvement: continuously improving data systems and processes by optimizing pipelines, enhancing data quality, scaling infrastructure, automating workflows, and maintaining best practices

Collaboration: work with data scientists, analysts, and other stakeholders to understand data needs and provide the necessary infrastructure and support for data analysis.

XML job scraping automation by YubHub

As a Senior Analytics Engineer, you will be responsible for leading the Analytics Engineering team within the Sales and Marketing organization and contributing to the success of Data Science data quality, performance, and automation initiatives.

Key responsibilities include:

• Being the data steward for Sales and Marketing, architecting and improving the collection of underlying data while creating ETLs, reporting dashboards, data aggregations, and other deliverables needed for business tracking, advertiser outreach, and acquisition, marketing campaigns, and other data-driven activities.

• Developing and maintaining robust data pipelines and workflows for data ingestion, processing, and transformation, working closely with engineering to ensure the quality and reliability of these data pipelines.

• Creating user-friendly tools and applications for internal use across Data Science and cross-functional teams, streamlining data analysis and reporting processes.

• Driving widespread adoption of these tools and applications with a relentless focus on automation, consistency, and reliability.

• Leading transformational efforts to build a data-driven culture at Reddit by enabling data self-service.

• Providing technical guidance, mentorship, coaching, and/or training to data scientists and other technical partners.

• Serving as a thought partner for data scientists, engineering managers, and leadership on data foundations, communicating and shaping the data foundations roadmap and strategy for Reddit.

Required qualifications include:

• An advanced degree in a quantitative discipline such as statistics, operations research, computer science, applied mathematics, economics, or physics.

• Five or more years of industry experience working with large-scale ETL systems, building clean, maintainable code and systems in a production environment.

• Experience working in Sales and Marketing domains.

• Strong programming proficiency in Python, SQL, Spark, Scala, etc.

• Experience with data modeling, ETL and ELT concepts, and patterns for efficient data governance.

• Experience with manipulating massive-scale structured and unstructured data.

• Experience with data workflows, data modeling, front-end or back-end engineering.

• Experience in data visualization and dashboard design, including tools such as Looker, Tableau, R visualization packages, streamlit, D3, and other libraries, etc.

• A deep understanding of technical and functional designs for relational and MPP databases.

• A proven track record of cross-functional execution and collaboration.

• Excellent communication skills to collaborate with cross-functional stakeholders at all levels of the company, of differing levels of technical acumen.

• Experience in mentoring junior data scientists and analytics engineers.

• A self-starter, able to work independently and autonomously, as well as part of a team.

Nice to have:

• Sales and Marketing domain experience.

• Past experience collaborating closely with data scientists, sales, and marketing managers.

Benefits include:

• Global benefit programs that fit your lifestyle, from workspace to professional development to caregiving support.

• Family planning support.

• Gender-affirming care.

• Mental health and coaching benefits.

• Comprehensive medical benefits and healthcare spending account.

• Registered retirement savings plan with matching contributions.

• Income replacement programs.

• Flexible vacation and paid volunteer time off.

• Generous paid parental leave.

XML job scraping automation by YubHub

As an Analytics Engineer, you will work closely with Data Scientists and members of Consumer cross-functional teams (Product, Engineering, and Design) to curate, develop, and deploy the right data and analytic tooling to drive Reddit's product forward and provide a data and tooling foundation that will last decades.

Your work will empower thousands of your colleagues to improve the user experience and grow our consumer base.

Successful candidates have a strong track record of understanding and deeply caring about the purpose of data to support business goals, and can act as an effective conduit between Data Producers and Data Consumers.

This role sits at the intersection of Data Science and Data Engineering, and the ideal candidate has skills, experience, and passion in both areas.

Responsibilities:

• Be an Analytics Engineering leader within the Consumer organization and a key contributor and collaborator to the success of Data Science data quality, performance, reliability, and automation initiatives.

• Be the data steward for Consumer products: architect and improve the collection of underlying data while also creating ETLs, reporting dashboards, data aggregations and other deliverables needed for product feature tracking, user retention analysis, A/B testing, and a large number of other data-driven activities.

• Develop and maintain robust data pipelines and workflows for data ingestion, processing, and transformation. Work closely with engineering to ensure the quality and reliability of these data pipelines.

• Create user-friendly tools and applications for internal use across Data Science and cross-functional teams, streamlining data analysis and reporting processes. Drive widespread adoption of these tools and applications with a relentless focus on automation, consistency, and reliability.

• Lead transformational efforts to build a data-driven culture at Reddit by enabling data self-service.

• Provide technical guidance, mentorship, coaching and/or training to data scientists and other technical partners.

• Serve as a thought partner for data scientists, engineering managers, and leadership on data foundations, communicating and shaping the data foundations roadmap and strategy for Reddit.

Qualifications:

• Degree in a quantitative discipline such as statistics, operations research, computer science, applied mathematics, economics, or physics

• 4+ years of experience working with large-scale ETL systems (implementation, strategy, and maintenance), building clean, maintainable code and systems (Python preferred) in a production environment.

• Strong programming proficiency in Python, SQL, Spark, Scala, etc.

• Experience with data modeling, ETL and ELT concepts, and patterns for efficient data governance. Experience with manipulating massive-scale structured and unstructured data.

• Experience with data workflows (such as Airflow), data modeling, front-end or back-end engineering.

• Experience in data visualization and dashboard design.

• Deep understanding of technical and functional designs for relational and MPP Databases.

• Proven track record of cross-functional execution and collaboration. Excellent communication skills to collaborate with cross-functional stakeholders at all levels of the company, of differing levels of technical acumen.

• Self-starter, ability to work independently and autonomously, as well as part of a team.

• Consumer product domain experience is a big plus.

• Agentic AI-assisted development experience.

Benefits:

• Comprehensive Healthcare Benefits and Income Replacement Programs

• 401k with Employer Match

• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support

• Family Planning Support

• Gender-Affirming Care

• Mental Health & Coaching Benefits

• Flexible Vacation & Paid Volunteer Time Off

• Generous Paid Parental Leave

XML job scraping automation by YubHub

As an Analytics Engineer, you will work closely with Data Scientists and members of Consumer cross-functional teams (Product, Engineering, and Design) to curate, develop, and deploy the right data and analytic tooling to drive Reddit's product forward and provide a data and tooling foundation that will last decades.

Your work will empower thousands of your colleagues to improve the user experience and grow our consumer base.

Successful candidates have a strong track record of understanding and deeply caring about the purpose of data to support business goals, and can act as an effective conduit between Data Producers and Data Consumers.

This role sits at the intersection of Data Science and Data Engineering, and the ideal candidate has skills, experience, and passion in both areas.

Responsibilities:

• Be an Analytics Engineering leader within the Consumer organization and a key contributor and collaborator to the success of Data Science data quality, performance, reliability, and automation initiatives.

• Be the data steward for Consumer products: architect and improve the collection of underlying data while also creating ETLs, reporting dashboards, data aggregations and other deliverables needed for product feature tracking, user retention analysis, A/B testing, and a large number of other data-driven activities.

• Develop and maintain robust data pipelines and workflows for data ingestion, processing, and transformation. Work closely with engineering to ensure the quality and reliability of these data pipelines.

• Create user-friendly tools and applications for internal use across Data Science and cross-functional teams, streamlining data analysis and reporting processes. Drive widespread adoption of these tools and applications with a relentless focus on automation, consistency, and reliability.

• Lead transformational efforts to build a data-driven culture at Reddit by enabling data self-service.

• Provide technical guidance, mentorship, coaching and/or training to data scientists and other technical partners.

• Serve as a thought partner for data scientists, engineering managers, and leadership on data foundations, communicating and shaping the data foundations roadmap and strategy for Reddit.

Qualifications:

• Degree in a quantitative discipline such as statistics, operations research, computer science, applied mathematics, economics, or physics

• 4+ years of experience working with large-scale ETL systems (implementation, strategy, and maintenance), building clean, maintainable code and systems (Python preferred) in a production environment.

• Strong programming proficiency in Python, SQL, Spark, Scala, etc.

• Experience with data modeling, ETL and ELT concepts, and patterns for efficient data governance. Experience with manipulating massive-scale structured and unstructured data.

• Experience with data workflows (such as Airflow), data modeling, front-end or back-end engineering.

• Experience in data visualization and dashboard design.

• Deep understanding of technical and functional designs for relational and MPP Databases.

• Proven track record of cross-functional execution and collaboration. Excellent communication skills to collaborate with cross-functional stakeholders at all levels of the company, of differing levels of technical acumen.

• Self-starter, ability to work independently and autonomously, as well as part of a team.

• Consumer product domain experience is a big plus.

• Agentic AI-assisted development experience.

Benefits:

• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support

• Family Planning Support

• Gender-Affirming Care

• Mental Health & Coaching Benefits

• Comprehensive Medical Benefits & Health Care Spending Account

• Registered Retirement Savings Plan with matching contributions

• Income Replacement Programs

• Flexible Vacation & Paid Volunteer Time Off

• Generous Paid Parental Leave

XML job scraping automation by YubHub

As a Staff Engineer on the Observability team, you'll be responsible for designing and building the infrastructure and tools that provide visibility into Pinterest's large-scale distributed systems, helping thousands of engineers understand, debug, and optimise their services.

Key responsibilities include:

• Defining and executing the observability roadmap, treating it as a product.
• Architecting, building, and scaling distributed observability infrastructure (metrics, logs, traces) to handle massive volumes across Pinterest's distributed systems.
• Building high-performance data pipelines and storage for real-time and historical telemetry analysis at Pinterest scale.
• Championing Best Practices: Establishing observability standards and patterns across the organisation, making it easy for teams to instrument their services and gain actionable insights.
• Technical Leadership: Mentoring engineers, leading architectural reviews, and influencing technical decisions across teams to improve overall system reliability and performance.
• Cross-functional Collaboration: Partnering with SRE, Infrastructure, Product Engineering, and other teams to understand pain points and deliver solutions that improve developer productivity and system reliability.
• Innovation: Staying current with observability trends and technologies, evaluating and adopting cutting-edge tools and techniques to keep Pinterest at the forefront.

To succeed in this role, you'll need:

• A bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience.
• A product mindset, with demonstrated ability to work backwards from customer needs.
• Deep expertise in distributed systems, with 7+ years of experience designing and operating large-scale distributed systems.
• Strong background in building data pipelines, working with time-series databases, columnar storage, stream processing, and data modelling at scale.
• Hands-on experience with modern observability tools and practices, including metrics, logging, tracing, and profiling.
• Expert-level coding skills in languages like Java, Python, Go, or Scala.
• Ability to see the big picture while managing complex technical details, balancing trade-offs between cost, performance, and reliability.
• Experience building observability platforms from the ground up or significantly scaling existing solutions.
• Familiarity with cloud-native architectures and technologies.
• Track record of driving adoption of internal platforms through excellent documentation, UX, and developer advocacy.
• Experience with machine learning or anomaly detection applied to observability use cases.
• Strong communication skills with ability to influence stakeholders at all levels.

In-office requirement statement: We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.

Relocation statement: This position is not eligible for relocation assistance.

At Pinterest, we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

XML job scraping automation by YubHub

As a Senior Solutions Engineer, you will play an important role in our mission. Using your technical expertise, you will show our customers how the Data Intelligence Platform can help solve their complex data challenges. Working with a collaborative, customer-focused team, you will use your skills to develop custom solutions that help our customers achieve their goals and move their businesses forward.

The impact you will have:

• Form successful relationships with clients and partners throughout your assigned territory, collaborating with Account Executives and Solutions Architects to help Databricks customers realise business value

• Operate as a Data & AI expert to get customers excited about our product. You will develop into a 'champion' and trusted advisor on architecture, design, and implementation to lead the successful adoption of the Databricks Intelligence platform.

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

• Orchestrate a wider team to secure a technical win, also against challenging customer demands

What we look for:

• You will be experienced in engaging customers in technical sales, challenging their questions, guiding clear outcomes, discovering new use cases, and communicating technical and value propositions

• You are at ease developing customer relationships and building internal partnerships with account executives and teams

• You can switch between speaking to technical and non-technical audiences and on different hierarchy levels

• You bring prior experience coding in a core programming language (i.e. Python, Java, Scala) and familiarity with distributed computing, e.g., using Apache Spark.

• You bring prior experience in building AI solutions and app building

• You feel comfortable being hands-on to support proofs of concept in areas such as big data processing, streaming, data governance, machine learning, and business intelligence across at least one major cloud platform.

• You have a curiosity for the business applications of technology, and can demonstrate that you understand the business challenges in a vertical you have worked in before

XML job scraping automation by YubHub

In this customer-facing role, you will leverage your technical expertise in Apache Spark and other data technologies to triage and resolve complex product issues and unblock our customers' most critical technical challenges.

The Impact You Will Have

• Perform advanced Troubleshooting and Root Cause Analysis to resolve performance and reliability issues in Spark, SQL, Delta, Streaming, and Databricks runtime features using tools like Spark UI metrics, Mosaic AI Model Service, DAGs, and event logs.
• Discover requirements for continuous monitoring to detect early performance issues working with R&D and NOC teams to optimize the DNB customer environments.
• Develop comprehensive playbooks and maintain a knowledge base of common issues and solutions for Spark, ML, and AI workflows.
• Train customer engineering and business teams on best practices in performance tuning, debugging, and effectively leveraging Databricks Features.
• Pilot new best practices processes/programs, champion process improvements, and collaborate with cross-functional teams to enhance the customer experience.
• Advocate for customers in business review meetings and maintain close relationships as a trusted advisor and primary technical point of contact.
• Collaborate onsite with Field Engineering, Sales, and Product teams during customer engagements and technical presentations to provide rapid solutions to production-impacting issues, demonstrating deep technical expertise and building strong customer trust.

What We Look For

• Technical Expertise in Big Data and Spark: 8–12 years of experience designing, building, and troubleshooting distributed computing applications, with 4+ years delivering production-scale Spark/ML/AI solutions using Python, Java, or Scala.
• Data Engineering Specialization: Hands-on expertise with Data Lakes, SQL-based databases, and Cloud-based Data Warehousing/ETL tools like Snowflake, Redshift, Bigquery, etc
• Advanced Tech Skills: Deep knowledge of Spark core internals, Delta/Iceberg, JVM optimization, and memory management, with additional proficiency in AI ecosystems like Machine Learning, Deep Learning, and Generative AI.
• Cloud and CI/CD Skills: Practical experience with AWS, Azure, or GCP, coupled with expertise in building and managing CI/CD pipelines, monitoring, and alerting systems.
• Customer-Facing Experience: 3–5 years in customer-facing roles such as Technical Account Manager or Solutions Architect, demonstrating strong communication, relationship-building, and problem-solving skills.
• Advanced Proactive Problem Solving Skills: Proven ability to anticipate, identify, and mitigate risks while planning solutions for production challenges. Effectively use sound business judgment, risk avoidance and subject matter expert resources to coordinate team efforts to solve problems.
• Collaboration and Leadership: Proven ability to work with cross-functional teams and senior leadership to address roadblocks, mitigate risks, and drive customer success while creating impactful documentation for self-service solutions.

XML job scraping automation by YubHub

We are seeking an exceptional Forward Deployed Engineer who will work at the intersection of deep technical implementation and world-class developer experience. In this hands-on role, you will be on the front lines building production solutions for Enterprise customers, creating sample apps for both Enterprise and Indie developers, improving DevEx tools (SDKs, MCPs, CLIs, sandbox environments, and more), and authoring comprehensive how-to-guides , with an emphasis for X API + Agentic/AI use cases and integrations.

Responsibilities:

• Partner directly with Enterprise customers to understand their business needs and rapidly build production-grade solutions, prototypes, integrations, and accelerators using the X API platform.
• Design, develop, and maintain high-quality sample applications, starter kits, reference implementations, and code examples for both Enterprise teams and Indie developers to accelerate adoption and showcase best practices.
• Build, enhance, and ship developer experience tools such as SDKs, MCPs, CLIs, Sandbox/Test Environments, and other internal/external tooling that dramatically improves developer productivity and ease of use.
• Research, write, and continuously improve comprehensive how-to guides, tutorials, cookbook recipes, technical blogs, and educational content , with special emphasis on X API integrations, real-time data, AI Agents, LLMs, and emerging use cases.
• Obsess over every aspect of developer experience: continuously audit and elevate our documentation, onboarding flows, code samples, and overall accessibility to make X API products the most approachable and powerful in the industry.
• Gather real-world feedback from customers and the broader developer community, advocate passionately for their needs internally, and collaborate with Product and Engineering teams to influence roadmap and feature prioritization.
• Diagnose complex technical issues, bugs, and edge cases; provide expert-level troubleshooting, workarounds, and long-term solutions while turning learnings into public guides and tooling improvements.
• Streamline support processes and create scalable materials that close knowledge gaps and accelerate success for both managed partners and self-serve developers.

Basic Qualifications:

• Exceptional coding proficiency in two or more languages (Python, JavaScript/TypeScript, Java, etc.) with a proven track record of shipping production-quality software, sample apps, prototypes, and developer tools.
• Strong understanding of API design principles, REST/GraphQL, real-time streaming systems, authentication, and modern AI/agent workflows.
• Hands-on experience building developer-facing assets: sample applications, reference implementations, DevEx tools, and high-quality technical documentation/guides.
• Deep, genuine passion for developer experience (DevEx) , you instinctively identify friction and love removing it through better docs, tools, and accessible APIs.
• 5+ years of experience in a customer-facing technical role (partner engineering, solutions architecture, developer relations, forward-deployed engineering, or similar) working directly with enterprise customers.
• Ability to work comfortably and professionally with diverse stakeholders (software developers, product managers, technical executives, and business leaders) to define and deliver shared objectives.
• Excellent project management skills with the ability to scope, execute, and drive initiatives autonomously in a fast-paced environment.
• Outstanding verbal and written communication skills, including the ability to translate complex technical topics into clear, engaging documentation and presentations.
• Strong attention to detail and a solution-oriented mindset that turns customer problems into scalable improvements.

Preferred Skills and Experience:

• Previous experience building or significantly contributing to developer platforms, tools, SDKs, interactive playgrounds, or educational content.
• Hands-on knowledge of AI/Agent frameworks, LLM integrations, or building AI-powered applications on top of data APIs.
• Industry experience in social media, enterprise software, data analytics, real-time/streaming data, or related spaces.
• Strong familiarity with Rust, Scala (ideally), or JVM-based programming languages.
• A public portfolio of sample apps, open-source contributions, technical blogs, guides, or DevEx tools that demonstrate your builder mindset and developer obsession.

Compensation and Benefits:

$180,000 - $440,000 USD Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.

XML job scraping automation by YubHub

Your responsibilities will include:

• Designing and implementing machine learning solutions for performance prediction and optimization of GPU accelerated enterprise Apache Spark workloads.
• Developing advanced algorithms and adaptive systems to continuously improve the performance of Apache Spark workloads on GPUs.
• Developing AI-based agents and tools to assist with fixing system issues and application optimization.
• Collaborating with key partners and customers on the deployment of complex machine learning solutions in various environments.
• Maintaining deep domain expertise by knowing the latest published advances in ML systems and algorithms.
• Providing technical mentorship and leadership in data science and machine learning to a team of engineers.

Requirements include:

• A Bachelor's degree in Machine Learning, Data Science, Computer Science or a closely related field.
• 12+ years of professional experience in designing, implementing, and productionizing high-quality ML/DL solutions.
• 5+ years of experience as a technical lead in ML model development.
• Proven hands-on experience with large-scale data processing platforms, such as Apache Spark.
• Proven ability to employ modern tooling and sound techniques for all aspects of crafting, deploying, and maintaining machine learning models.
• Excellent programming skills in Python and Python data science related libraries like NumPy, Pandas, Scikit-learn, SciPy, PyTorch, and TensorFlow.
• Deep experience with sophisticated ML methodologies, including LLM/GenAI, reinforcement learning, and adaptive, on-line ML systems.
• Strong expertise in feature engineering, feature importance assessment, and developing boosted tree model solutions (e.g., XGBoost).

Preferred qualifications include:

• Understanding of the internal workings and architecture related to Apache Spark.
• Familiarity with NVIDIA GPUs and CUDA.
• Experience coding in Scala, Java, and/or C++.

If you are passionate about machine learning and have a strong background in software development, we encourage you to apply for this exciting opportunity.

XML job scraping automation by YubHub

We are looking for a Senior Data Engineer to join our Financial Systems Engineering team. This role involves building the foundational systems that support NVIDIA's high-performance financial infrastructure. This individual will play an important role in building scalable cloud services that integrate with diverse financial systems, enabling operational automation across global financial operations.

Pipeline Architecture & Integrity: Architect event-driven pipelines (Kafka) and develop new data models that ensure transactional integrity (ACID) for commercial events like invoices, payments, and adjustments.

Scalable Data Solutions: Automate scalable ETL processes and refactor next-generation data architectures to improve quality, security, and coverage for rapidly growing business demands.

Operational Excellence: Collaborate across teams to codify business processes into self-measuring systems, debugging complex challenges to ensure the reliability of financial operations.

With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you!

You will also be eligible for equity and benefits.

XML job scraping automation by YubHub

In this role, you will be deeply embedded with our named strategic accounts, serving as a trusted long-term technical advisor while also collaborating with internal sales, product, and engineering teams.

You will help our customers achieve tangible data-driven outcomes through the Databricks Data Intelligence Platform, helping data teams complete projects and integrate our platform into their enterprise ecosystem.

You'll grow as a leader in your field, while finding solutions to our customers' biggest challenges in data engineering, analytics, AI, and data science.

Responsibilities:

• Be the trusted technical advisor for one or more named strategic accounts , building deep, durable relationships with their data, AI/ML, and platform engineering leaders, and earning a seat at the table for their most important architectural decisions.

• Help shape and drive your customer's AI strategy , partnering with their data science, ML, and AI platform teams to design GenAI and ML architectures, evaluate build-vs-buy decisions, and turn AI ambitions into production systems deployed on Databricks.

• Partner with the sales team and provide hands-on technical leadership to help large enterprise customers understand how Databricks can help solve their business problems across the full data and AI lifecycle.

• Consult on modern Lakehouse architectures and implement proofs of concept for strategic projects spanning data engineering, data warehousing, machine learning, GenAI, including validating integrations with cloud services, in-house tools, and third-party applications.

• Work directly with the sales team to develop your book of business, define account strategies, and execute those strategies to help your customers and prospects solve their business problems with Databricks.

• Collaborate across regions with fellow Solutions Architects and account teams, supporting our customers with consistent architectural guidance across their international footprint.

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

Requirements:

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

• 8+ years hands-on experience with Big Data and AI technologies, including Apache Spark, data engineering, data science, and modern AI/ML workloads.

• Strong hands-on architectural experience , able to whiteboard, design, and personally build end-to-end solutions, not just advise.

• Demonstrated experience working with large enterprise or Fortune 500 customers; experience supporting global accounts across multiple geographies strongly preferred.

• Experience working with digital-native or SaaS enterprises with mature data and AI practices is a strong plus.

• Strong consulting / customer-facing experience working with external clients across a variety of industries.

• Coding experience in Python, SQL, Scala, Java, or R.

• Experience building distributed data systems at enterprise scale.

• Hands-on experience with at least one major public cloud (AWS, Azure, or GCP).

• Available to travel to customers in your region and occasionally internationally.

Nice to have: prior experience working in or with a Global Capability Center model; Databricks Certification.

XML job scraping automation by YubHub

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

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

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

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

The impact you will have:

• Form successful relationships with clients throughout your assigned territory, providing technical and business value to Databricks customers in collaboration with Account Executives.

• Operate as an expert in big data analytics to excite customers about Databricks. You will develop into a ‘champion’ and trusted advisor on multiple issues of architecture, design, and implementation to lead to the successful adoption of the Databricks Data Intelligence Platform.

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

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

What we look for:

• Engage customers in technical sales, challenge their questions, guide clear outcomes, and communicate technical and value propositions.

• Experience in developing customer relationships with Federal/Defence accounts, and building internal partnerships with account executives and teams.

• Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Spark.

• Proficient with Big Data Analytics technologies, including hands-on expertise with complex proofs-of-concept and public cloud platform(s).

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

• Eligible for NV1 clearance

XML job scraping automation by YubHub

Key responsibilities include:

• Engaging with Solutions Architects to understand the full use case demand plan for prioritized customers
• Leading the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
• Being the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live, and healthy consumption of the workloads where the customer has made the decision to consume Databricks
• Being the first contact for any technical issues or questions related to the production/go-live status of agreed-upon use cases within an account, oftentimes servicing multiple use cases within the largest and most complex organizations
• Leveraging both Shared Services, User Education, Onboarding/Technical Services, and Support resources, along with escalating to expert-level technical experts, to build the right tasks that are beyond your scope of activities or expertise
• Creating, owning, and executing a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals
• Navigating Databricks Product and Engineering teams for new product innovations, private previews, and upgrade needs
• Developing an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:

• Main use cases moving from 'win' to production
• Enablement/user growth plan
• Product adoption (strategy and activities to increase adoption of Databricks' Lakehouse vision)
• Organic needs for current investment (e.g., cloud cost control, tuning & optimization)
• Executive and operational governance
• Providing internal and external updates
• KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption, and use case progression to your Technical GM

This role requires U.S. citizenship, 7+ years of experience in technical project/program delivery within the domain of Data and AI, programming experience in Python, SQL, or Scala, experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role, understanding of solution architecture related to distributed data systems, and experience in resolving complex and important escalations with senior customer executives.

XML job scraping automation by YubHub

We're looking for an AI Engineer to join our Integrated Knowledge Management team, part of Airbnb's Community Support Engineering. As an AI Engineer, you will help build out our next-generation Retrieval-Augmented Generation (RAG) platform and AI-powered support surfaces such as the Help Center.

RESPONSIBILITIES

• Collaborate with global cross-functional working groups (frontend/backend/ML engineers, design, product and operational teams) to design and build end-to-end AI powered product solutions to improve Airbnb's customer service experience.
• Use AI tooling to analyze data, build hypotheses, experiment, learn and iterate to improve the Integrated Knowledge Management services.
• Optimize system availability, performance, and scalability while pushing enhancements for improved efficiency.
• Advocate and participate in efforts to advance Airbnb's engineering processes, technical foundations, and AI tooling.

YOUR EXPERTISE

• 3+ years of industry experience directly contributing to the design, implementation, evaluation, and operation of AI-powered applications.
• Strong proficiency in at least one major backend programming language (e.g., Java, Kotlin, Scala, Python).
• Proven track record of delivering AI-powered backend solutions in a collaborative environment, from ideation and planning to implementation and launch.
• Experience with architectural patterns of large-scale systems, including well-designed APIs, high-volume data pipelines, and efficient algorithms.
• Demonstrated ability to make data-driven decisions, articulate technical trade-offs, and communicate effectively with cross-functional partners.

YOUR LOCATION

This position is hybrid in Beijing, China. The role includes 3 days work from office.

XML job scraping automation by YubHub

These systems will integrate foundational Bayesian frameworks with advanced architectures, including Mixture of Models, multi-pass sharded systems, multitask and multi-objective optimization, and external knowledge incorporation. Additionally, the role involves innovating ways to interoperate and integrate Large Language Models (LLMs) and Large Multimodal Models (LMMs) with Reasoning, Planning, and Decisioning abilities into the Bayesian frameworks to create a seamless foundational model fabric that synergizes with diverse model ecosystems. The role will require ensuring these models and supporting systems perform efficiently at scale, integrating them into live systems that directly impact product and user experience. Our goal is to build next-generation AI platforms that redefine personalization, decision-making, and intelligence across diverse applications.

You will work on developing production-level systems, collaborate with cross-functional teams, and play a pivotal role in shaping our AI/ML strategy.

Research & Innovation:

• Lead groundbreaking applied research in Bayesian systems, distributional reinforcement learning, and multi-modal architectures to drive novel advances in AI and Foundational Intelligence (Ranking, Recommendations, Personalization) to fill out gaps in the Long Tail Curve of Discovery in order to grow the Business Offerings on both Guest and Host Long Tail Ends

• Bridge the gap between theoretical AI/ML advancements and real-world production systems

• Ensure that new research can be effectively applied and scaled to meet practical needs.

Architect and Design:

• Define and drive the architecture of large-scale Bayesian Framework-based AI systems at Airbnb.

• Develop multi-pass sharded Bayesian + Discriminative/Generative single to multi agent systems for scale and efficiency.

• Incorporate Mixture of Models and Agents, multitask learning, multi-objective optimization, and external knowledge systems into model designs.

• Innovate methods to interoperate with LLMs, LRMs, LMMs, and transformer-based architectures, ensuring seamless integration and collaboration within the AI ecosystem using AI Multi-Agentic Frameworks.

Model Development:

• Build and refine Bayesian or Markovian Graph chains to incorporate uncertainty estimation, adaptive decision-making, and probabilistic reasoning.

• Develop foundational models by merging Bayesian techniques with Classical ML with L[L/M/R]Ms and other advanced architectures, ensuring compatibility and synergy.

• Continuously improve systems for scalability, performance, and robustness, enabling models to absorb and adapt to diverse data sources and paradigms.

Technical Leadership:

• Lead technical direction and strategy for AI/ML systems.

• Influence cross-functional teams, including engineering leaders, product managers, and data scientists, to adopt unified intelligence platform approaches.

• Perform code reviews, mentor engineers, and champion best practices in AI/ML.

Collaboration:

• Work with structured and unstructured data to design models for diverse use cases.

• Collaborate with cross-functional partners to identify opportunities, refine requirements, and drive impactful solutions.

• Translate complex technical decisions into business value.

Operational Excellence:

• Develop, productionize, and maintain scalable AI/ML pipelines, including batch and real-time use cases.

• Implement advanced model evaluation systems, including interpretability, hyperparameter optimization, and drift detection.

• Ensure system reliability and performance through rigorous testing and validation.

Minimum Qualifications:

• Bachelor’s degree in Computer Science, Mathematics, or a related technical field (or equivalent practical experience).

• 15+ years of technical experience in Applied Machine Learning, including producing code and deploying production systems.

• Strong programming skills in Python, Scala, Java, or C++, with expertise in AI/ML frameworks (e.g., TensorFlow, PyTorch).

• Proven experience with Bayesian Neural Networks, Bayesian Learning, and Reinforcement Learning.

• Strong math background in probability, statistics, and optimization

XML job scraping automation by YubHub

The Surfaces Music team is responsible for music recommendations across Spotify's most visible surfaces, including Home and the Now Playing experience. We own music shelf and candidate generation as well as the ranking models that power these experiences. Our models include embedding models for deep catalog discovery, new release recommendations, and a unified transformer-based generative personalization model that is poised to reshape how we deliver personalized experiences across Spotify.

Responsibilities

• Contribute to the design, development, evaluation, and iteration of recommendation models , including candidate generation, ranking, and embedding models , powering music surfaces at scale.
• Drive hands-on ML development to improve reward signals and recommendation quality across Home, Now Playing, and other core surfaces.
• Contribute to the team's adoption of generative recommendation models, partnering with ML and AI infrastructure teams.
• Promote best practices in ML systems development, testing, and experimentation within the team.
• Collaborate with Data Science, Product, and Design partners to define success metrics, run A/B experiments, and translate insights into product improvements.
• Partner with teams across Personalization to integrate and test new signals in recommendation systems.

Requirements

• Strong background in machine learning and experience applying theory to real-world applications, with expertise in statistics and optimization , particularly sequential models, transformers, generative AI, and LLMs.
• Hands-on experience building and shipping production machine learning systems at scale, ideally in personalization or recommendation systems.
• Experience implementing ML systems in Java, Scala, Python, or similar languages. Familiarity with PyTorch, Ray or Hugging Face is a plus.
• Experience with large-scale distributed data processing frameworks such as Apache Beam, Apache Spark, or Scio, and cloud platforms like GCP or AWS.
• Experience collaborating across teams on complex ML projects and navigating cross-functional stakeholders.
• Care about agile software processes, data-driven development, reliability, and disciplined experimentation.

Benefits

• United States base range for this position is $210,000 - $260,000 plus equity.
• Health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave.

XML job scraping automation by YubHub

You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on investment.

This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products.

Responsibilities:

• Engage with Solutions Architects to understand the full use case demand plan for prioritised customers
• Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
• Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks
• Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations
• Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise
• Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals
• Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs
• Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:

• Main use cases moving from ‘win’ to production
• Enablement / user growth plan
• Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision)
• Organic needs for current investment (e.g. cloud cost control, tuning & optimization)
• Executive and operational governance
• Provide internal and external updates
• KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression to your Technical GM

What we look for:

• 10+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers
• Programming experience in Python, SQL or Scala
• Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role
• Understanding of solution architecture related distributed data systems
• Understanding of how to attribute business value and outcomes to specific project deliverables
• Technical program, or project management including account, stakeholder and resource management accountability
• Experience resolving complex and important escalation with senior customer executives
• Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects
• Track record of overachievement against quota, Goals or similar objective targets
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
• Can travel up to 30% when needed

XML job scraping automation by YubHub

You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on investment.

This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products.

Responsibilities:

• Engage with Solutions Architects to understand the full use case demand plan for prioritised customers
• Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
• Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks
• Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations
• Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise
• Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals
• Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs
• Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:

+ Main use cases moving from ‘win’ to production + Enablement / user growth plan + Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision) + Organic needs for current investment (e.g. cloud cost control, tuning & optimization) + Executive and operational governance + Provide internal and external updates + KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression

What we look for:

• 10+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers
• Programming experience in Python, SQL or Scala
• Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role
• Understanding of solution architecture related distributed data systems
• Understanding of how to attribute business value and outcomes to specific project deliverables
• Technical program, or project management including account, stakeholder and resource management accountability
• Experience resolving complex and important escalation with senior customer executives
• Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects
• Track record of overachievement against quota, Goals or similar objective targets
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
• Can travel up to 30% when needed

XML job scraping automation by YubHub

SSAs help customers through evaluations and successful production planning for their business intelligence workloads while aligning their technical roadmap for the Databricks Data Intelligence Platform. As a deep go-to-expert reporting to the Specialist Field Engineering Manager, you will continue to strengthen your technical skills through mentorship, learning, and internal training programs and establish yourself in the data warehousing specialty - including performance tuning, data modeling, winning competitive evaluations, architecture design, and production migration planning.

The impact you will have:

• Provide technical leadership to guide strategic customers to successful cloud transformations on large scale data warehousing workloads - ranging from evaluation to architecture design to production deployment.

• Prove the value of the Databricks Intelligence Platform for customer workloads by architecting production workloads, including end-to-end pipeline load performance testing and optimization.

• Become a technical expert in an area such as competitive data warehousing evaluations or helping set up successful workload migrations.

• Assist Solution Architects with more advanced aspects of the technical sale including custom proof of concept content, estimating workload sizing and performance, and tuning workloads for production.

• Provide tutorials and training to improve community adoption (including hackathons and conference presentations) - Contribute to the Databricks Community.

XML job scraping automation by YubHub

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

As a Senior Solutions Engineer in the MEA Pre-Sales team (Qatar & S.Africa Fly-in), you will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges.

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

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

The impact you will have:

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

• Act as a trusted advisor to C-level executives, defining long-term Data & AI strategies, modernising platforms, and aligning technical vision with business outcomes to drive measurable impact and innovation.

• Lead strategic engagements, shaping Data & AI transformation roadmaps, fostering innovation partnerships, and driving account growth across territories in the regions.

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

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

What we look for:

• 5+ years of experience engaging in technical customer interactions, preferably bringing direct pre-sales and complex sales lifecycles experience. Relevant and transferable consulting experience can also be considered for the role.

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

• Ability to dive deeper into solution architecture and Data Engineering, Data Warehousing, Data Science use cases, combined with experience working on cloud platforms (e.g., Databricks, AWS, Microsoft, GCP, or other relevant platforms)

• Proficiency with Artificial Intelligence, AI Agents, and Big Data Analytics technologies, including hands-on expertise with sophisticated proofs-of-concept and public cloud platform(s).

• Coding expertise in a core programming language (i.e., Python, Java, Scala). A foundational understanding of Apache Spark architecture is preferable; hands-on skills will be advantageous for the role.

Key Notes for the role:

• Location for the role can be in London or Paris (i.e. within a commutable distance of these office locations for hybrid schedule).

• You will need to be flexible and willing to travel across the region(s) for customer visits & events on a regular basis (i.e. up to ~2 weeks per month).

• Willing to manage different conversations with Business and Technical stakeholders; Enabling Partners and support internal events in the MEA region.

• Excellent communication skills in English required as a minimum.

XML job scraping automation by YubHub

Key responsibilities include:

• Engaging with Solutions Architects to understand the full use case demand plan for prioritized customers
• Leading the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within strategic accounts
• Being the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders
• Creating certainty from uncertainty and driving onboarding, enablement, success, go-live, and healthy consumption of workloads where the customer has decided to consume Databricks
• Being the first contact for any technical issues or questions related to production/go-live status of agreed-upon use cases within an account
• Leveraging Shared Services, User Education, Onboarding/Technical Services, and Support resources to build the right tasks beyond your scope of activities or expertise
• Creating, owning, and executing a point-of-view on how key use cases can be accelerated into production, coordinating with Professional Services resources on the delivery of PS Engagement proposals
• Navigating Databricks Product and Engineering teams for new product innovations, private previews, and upgrade needs
• Developing an execution plan covering all activities of customer-facing technical roles and teams to cover main use cases moving from 'win' to production, enablement/user growth plan, product adoption, organic needs for current investment, executive and operational governance, and KPI reporting on the status of usage and customer health

Requirements include:

• 5+ years of experience in technical project/program delivery within the domain of Data and AI, contributing to technical debate and design choices with customers
• Programming experience in Python, SQL, or Scala
• Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role
• Understanding of solution architecture related distributed data systems
• Understanding of how to attribute business value and outcomes to specific project deliverables
• Technical program/project management, including account, stakeholder, and resource management accountability
• Experience resolving complex and important escalations with senior customer executives
• Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis, and managing delivery of complex programs/projects
• Track record of overachievement against quota, goals, or similar objective targets
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience

Benefits include comprehensive benefits and perks that meet the needs of all employees, a commitment to diversity and inclusion, and compliance with equal employment opportunity standards.

XML job scraping automation by YubHub

Your key responsibilities will include:

Developing, improving and optimizing scalable infrastructure for handling and deploying security and networking AI models and agents in production, ensuring high availability, scalability, reproducibility, and performance.

Optimizing AI models and agents for performance, scalability, and resource utilization, considering factors such as latency, efficiency, and cost.

Monitoring and deploying agentic systems, LLMs, and ML models in production.

Designing and implementing frameworks/pipelines for AI training, inference, and experimentation.

Collaborating closely with data scientists, security architects and software engineers to operationalize and deploy AI models and agents, including packaging and integration with existing systems. Participate in developing and reviewing code, design documents, use case reviews, and test plan reviews.

Collaborating with DevOps teams to integrate pipelines and workflows into the CI/CD process, ensuring flawless deployments and rollbacks.

Building and maintaining monitoring and alerting systems to proactively identify and resolve issues relating to quality, performance and infrastructure.

Implementing access controls, authentication mechanisms, and encryption standards for AI models and data.

Documenting guidelines, and standard operating procedures for MLOps/AI processes and sharing knowledge with the wider team.

Develop proof-of-concepts for new features.

XML job scraping automation by YubHub

We have a flexible workforce! If you happen to live close to one of our physical office locations our doors are open for you to come into the office as often as you'd like. Don’t live near one of our offices? No worries: You can apply to work remotely in any country in which we have a physical presence.

This is a generalist mid-level backend position within the Ads Organization. Ads is the fuel that powers Reddit’s mission. As a backend engineer on the team, candidates might work on:

• Microservices and APIs that power our advertiser-facing product, ads.reddit.com
• Distributed systems that ensure the right ad gets shown to the right user at the right time
• Backends that power interactive user experiences on our ads like Polls and Games
• Real time, data intensive systems that measure the performance of our ad campaigns
• Infrastructure that supports all of the above

Technologies used on the team include:

• Languages: Go, Python, Scala
• Frameworks: Spark, Thrift, Baseplate, Kafka
• Datastores: Postgres, BigQuery, Redis, Druid
• Tools: Kubernetes, Argo, Docker

Mid-level engineers are expected to absorb best practices and learn exceptionally quickly while being effective core contributors. Engineers at this level must be able to code independently, but may work with senior engineers on the design of complex solutions. The most important skills an engineer at this level must possess are 1) coachability and an eagerness to grow, 2) deep passion for coding, and 3) excellent independent learning skills, all while operating as a fully functioning member of an engineering team.

Responsibilities:

• Work with product managers to design and implement Ads products.
• Collaborate closely with the platform and data teams while building new features.
• Lead the processes needed to improve operational stability, including improving code quality, delivering dashboards and data visualizations.
• Build extensible components that would align with the product objectives.
• Support day to day project management tasks including communicating project updates, managing project timelines and overseeing project execution.

Required Qualifications:

• 3+ years of software development experience in one or more general purpose programming languages (Java, Scala, Go, C++, Python).

Bonus Points:

• Experience working in the Ads domain
• Experience or interest in the advertising business and understanding customer needs

XML job scraping automation by YubHub

In this role, you'll have the opportunity to work with a variety of technologies, including Go, Python, Scala, Spark, Thrift, Baseplate, Kafka, Postgres, BigQuery, Redis, and Druid. You'll also have the chance to contribute to the growth and development of our Ads organization.

If you're a motivated and detail-oriented engineer with a passion for coding, we encourage you to apply. We offer a comprehensive benefits package, including healthcare, income replacement programs, 401k with employer match, and generous paid parental leave.

XML job scraping automation by YubHub

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

As a Senior Solutions Architect, you will be an essential part of this mission, using your technical expertise to demonstrate how our Lakehouse Platform can help customers solve their complex data challenges.

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

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

This role will report to a Field Engineering Manager in the Emerging Enterprises team.

The impact you will have:

• Develop customer engagement strategies in partnership with Account Executive(s) for Startup & Digital Native customers in the Nordics region.

• Coach junior Solutions Architects and teams on use case prioritization and building technical champions.

• Influence stakeholders at all levels through complex engagements with the wider cloud ecosystem and 3rd party applications, ensuring they are excited by the Databricks vision and solution strategy.

• Be a 'champion’ for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Lakehouse platform.

• Contribute to Databricks' technical community engagement by developing customer-facing collateral and leading workshops, seminars, and meet-ups.

• Opportunity to continue your development in one of four tracks - technical specialization, industry vertical thought leadership, strategic customer vision, and people management.

What we look for:

• Deep expertise across the data landscape,including Data Engineering, Data Warehousing, and GenAI,with a strong "AI-Builder" mindset.

• Experience working with and/or within Startups and Digital Native organisations will be advantageous for this role.

• Able to engage effectively in complex customer interactions and sales lifecycle in a technical pre-sales capacity. Experience influencing decision-makers and C-level executives through developing relationships and orchestrating teams to achieve long-term success for customers.

• Skilled in coding with one or more core programming language (i.e., Python, SQL, Scala, Java) plus foundational knowledge of Apache Spark / ability to upskill quickly in distributed computing technologies.

• Hands-on expertise with complex proofs-of-concept and public cloud (AWS, Azure, GCP) / modern data platforms.

Databricks Certification(s) are not a must-have but will be beneficial for the role!

• Know how to provide technical solutions for specialized customer needs and navigate a competitive landscape.

Notes on mandatory requirements:

• Location for the role will be in Stockholm (or within a commutable distance for hybrid schedule).

• Flexibility to travel (up to 20-30% as required for customer meetings, events and trainings).

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

This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation.

The impact you will have:

• Engage with Solutions Architects to understand the full use case demand plan for prioritised customers
• Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
• Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks
• Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organisations
• Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise
• Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals
• Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs
• Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:

• Main use cases moving from ‘win’ to production
• Enablement / user growth plan
• Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision)
• Organic needs for current investment (e.g. cloud cost control, tuning & optimisation)
• Executive and operational governance
• Provide internal and external updates
• KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM

What we look for:

• 5+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers
• Programming experience in Python, SQL or Scala
• Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role
• Understanding of solution architecture related distributed data systems
• Understanding of how to attribute business value and outcomes to specific project deliverables
• Technical program, or project management including account, stakeholder and resource management accountability
• Experience resolving complex and important escalation with senior customer executives
• Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects
• Track record of overachievement against quota, Goals or similar objective targets
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
• Can travel up to 30% when needed

XML job scraping automation by YubHub

As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on investment.

This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation.

The impact you will have:

• Engage with Solutions Architects to understand the full use case demand plan for prioritised customers
• Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
• Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks
• Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organisations
• Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise
• Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals
• Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs
• Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:

• Main use cases moving from ‘win’ to production
• Enablement / user growth plan
• Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision)
• Organic needs for current investment (e.g. cloud cost control, tuning & optimisation)
• Executive and operational governance
• Provide internal and external updates
• KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression to your Technical GM

What we look for:

• 5+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers
• Programming experience in Python, SQL or Scala
• Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role
• Understanding of solution architecture related distributed data systems
• Understanding of how to attribute business value and outcomes to specific project deliverables
• Technical program, or project management including account, stakeholder and resource management accountability
• Experience resolving complex and important escalation with senior customer executives
• Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects
• Track record of overachievement against quota, Goals or similar objective targets
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
• Can 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 get the 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:

• 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

This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestrating other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organization.

You will report directly to a DSA Manager within the Field Engineering organization. The impact you will have:

• Engage with Solutions Architects to understand the full use case demand plan for prioritized customers
• Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
• Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks
• Be the first contact for any technical issues or questions related to production/go-live status of agreed-upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations
• Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert-level technical experts to build the right tasks that are beyond your scope of activities or expertise
• Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals
• Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs
• Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:

+ Main use cases moving from ‘win’ to production + Enablement / user growth plan + Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision) + Organic needs for current investment (e.g. cloud cost control, tuning & optimization) + Executive and operational governance + Provide internal and external updates + KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression

XML job scraping automation by YubHub

You'll partner closely with research scientists, ML engineers, and platform teams to turn experimental workloads into robust, repeatable pipelines, and to push the limits of what our infrastructure can support.

The Impact you will have:

• Design and implement infrastructure that supports large-scale experiments, data processing, and model training (e.g., HPC clusters, GPU fleets, or cloud-based systems)

• Enable researchers to go from idea to large-scale experiment in minutes, not days, by building powerful abstractions for job submission, scheduling, and monitoring.

• Create tooling that improves research developer productivity, such as experiment management systems, CI/testing infrastructure for research code, and workflows that reduce iteration time.

• Influence the long-term roadmap for research computation, shaping how Databricks AI Research train, evaluate, and ship models to customers.

• Serve as a technical mentor and force multiplier for other engineers working on compute, infra, and AI systems.

What We Look for:

• BS/MS or PhD in Computer Science or related field

• 5+ years of software engineering experience, including substantial time working on large-scale distributed systems or infrastructure.

• Have deep experience with building and operating distributed systems, data pipelines, or large-scale backend services, ideally involving GPUs, clusters, or major cloud providers.

• Are proficient in one or more systems programming languages (e.g., C++, Rust, Go, Java, Scala) and can design, implement, and debug complex services.

• Have built or significantly contributed to cluster schedulers, resource managers, or large-scale job orchestration systems (e.g., Kubernetes, Slurm, Ray, custom internal systems).

• Understand modern ML training and inference workflows (e.g., distributed training, model parallelism, fine-tuning, evaluation), even if you’re not primarily a research scientist.

• Can move fast and be pragmatic in getting things done, while caring about operational excellence. Have driven complex systems from prototype to stable, well-owned services.

• Communicate clearly with both researchers and engineers, and enjoy translating between research needs and infra realities.

Pay Range Transparency:

Databricks is committed to fair and equitable compensation practices. The pay range for this role is $199,000-$270,000 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 Manager, Professional Services.

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 leads to a customers' 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 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

• 6+ years of experience working on Big Data Architectures independently

• Strong experience working in the Databricks ecosystem

• Comfortable writing code in either Python or Scala.

• Experience working across Cloud Platforms (GCP / AWS / Azure)

• Documentation and white-boarding skills.

• Build skills in technical areas that 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

We offer a competitive salary range of $293K – $325K, plus 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.

About the Team

The Statsig team at OpenAI builds and operates the experimentation platform that powers product development, measurement, and decision-making across the company. We partner closely with product, engineering, and infrastructure teams to ensure experiments are trustworthy, statistically rigorous, and scalable to the needs of frontier AI products.

About the role:

We're seeking a Data Engineer to take the lead in building our data pipelines and core tables for OpenAI. These pipelines are crucial for powering analyses, safety systems that guide business decisions, product growth, and prevent bad actors. If you're passionate about working with data and are eager to create solutions with significant impact, we'd love to hear from you. This role also provides the opportunity to collaborate closely with the researchers behind ChatGPT and help them train new models to deliver to users. As we continue our rapid growth, we value data-driven insights, and your contributions will play a pivotal role in our trajectory. Join us in shaping the future of OpenAI!

In this role, you will:

• Design, build and manage our data pipelines, ensuring all user event data is seamlessly integrated into our data warehouse.

• Develop canonical datasets to track key product metrics including user growth, engagement, and revenue.

• Work collaboratively with various teams, including, Infrastructure, Data Science, Product, Marketing, Finance, and Research to understand their data needs and provide solutions.

• Implement robust and fault-tolerant systems for data ingestion and processing.

• Participate in data architecture and engineering decisions, bringing your strong experience and knowledge to bear.

• Ensure the security, integrity, and compliance of data according to industry and company standards.

You might thrive in this role if you:

• Have 3+ years of experience as a data engineer and 8+ years of any software engineering experience(including data engineering).

• Proficiency in at least one programming language commonly used within Data Engineering, such as Python, Scala, or Java.

• Experience with distributed processing technologies and frameworks, such as Hadoop, Flink and distributed storage systems (e.g., HDFS, S3).

• Expertise with any of ETL schedulers such as Airflow, Dagster, Prefect or similar frameworks.

• Solid understanding of Spark and ability to write, debug and optimize Spark code.

This role is based in Bellevue. We use a hybrid work model and value in-person collaboration for technical design, iteration, and cross-functional partnership.

XML job scraping automation by YubHub

Your responsibilities will include:

• Forming successful relationships with clients throughout your assigned territory, providing technical and business value to Databricks customers in collaboration with Account Executives.

• Operating as an expert in big data analytics to excite customers about Databricks. You will develop into a 'champion' and trusted advisor on multiple issues of architecture, design, and implementation to lead to the successful adoption of the Databricks Data Intelligence Platform.

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

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

To succeed in this role, you will need to be able to engage customers in technical sales, challenge their questions, guide clear outcomes, and communicate technical and value propositions. You will also need to develop customer relationships and build internal partnerships with account executives and teams.

Requirements include prior experience with coding in a core programming language (such as Python, Java, or Scala) and a willingness to learn a base level of Spark. You should also be proficient with Big Data Analytics technologies, including hands-on expertise with complex proofs-of-concept and public cloud platform(s).

Native-level proficiency in Korean is required, and proficiency in English is a plus.

XML job scraping automation by YubHub

This is a remote position, though it could also be a hybrid role from our Mexico City office as part of our expanding site. EarnIn offers excellent benefits for our employees, including healthcare, internet and cell phone reimbursement, a learning and development stipend, and potential opportunities to travel to our Mountain View headquarters.

Our salary ranges are determined by role, level, and location. We are unable to provide visa sponsorship or immigration support for this position.

Responsibilities:

• Design & implement features robust enough for our exploding scale.
• Drive the implementation of new features - break down complex problems into their bare essentials, translate this complexity into elegant design, and create high-quality, maintainable code.
• Create and maintain test automation to enable continuous integration and development velocity.
• Design & deliver thoughtfully crafted REST APIs to drive the interactions between our client applications and backend services.
• Collaborate and mentor other engineers while providing thoughtful guidance using code, design, and architecture reviews.
• Work cross-functionally with other teams (data science, design, product, marketing, analytics).
• Leverage a broad skill set and help us implement and learn new technologies quickly.
• Provide and receive design and implementation evaluations and improve with each iteration.
• Debug production issues across our services infrastructure and multiple levels of our stack.
• Think about distributed systems & services and care passionately about producing high-quality code.

Requirements:

• 7+ years of development experience in a fast-paced environment.
• Bachelor's, Master’s, or PhD degree in computer science, computer engineering, or a related technical discipline, or equivalent industry experience.
• Proficient in at least one modern programming language such as C#, Java, JavaScript, Python, Go, and Scala.
• Hands-on experience working with various databases (DynamoDB, MySQL, ElasticSearch) and data pipeline technologies.
• Experience with continuous integration and delivery tools.
• Experienced in developing and executing functional and integration tests.
• Excellent written and verbal communication skills.
• Ability to thrive in a fast-paced, dynamic environment, and you have a bias towards action and results.
• Experience using AI-assisted development tools (e.g., GitHub Copilot, Cursor, ChatGPT, or similar tools) as part of your software development workflow
• Experience with Kubernetes and microservice architecture is a strong plus.

XML job scraping automation by YubHub

In this role, you will partner with the sales team to help customers understand how Databricks can help solve their business problems. You will provide technical leadership for customers to evaluate and adopt Databricks. You will consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications.

You will build and present reference architectures, how-tos, and demo applications for customers. You will become an expert in, and promote Databricks-inspired open-source projects (Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars. You will travel to customers in your region.

To succeed in this role, you will need 6+ years in a customer-facing pre-sales, technical architecture, or consulting role. You will need experience designing and architecting distributed data systems. You will need to be comfortable programming in, and debugging, at least one of: Python, Scala, Java, SQL, or R. You will need experience supporting Public Sector clients. You will need to have built solutions with public cloud providers such as AWS, Azure, or GCP.

XML job scraping automation by YubHub

We're looking for a talented data-minded software engineer to join our Data Foundations team. As a Backend Engineer, Data, you will design, develop, and own data pipelines, models, and products that power the Product, Data Science, and GTM functions.

Responsibilities

• Design, develop, and own data pipelines, models, and products that power the Product, Data Science, and GTM functions
• Develop strong subject matter expertise and manage the SLAs for both data pipelines and full stack web applications that support these critical stakeholders
• Build and refine Stripe's data foundations - infrastructure, pipelines, and tools to enable various teams at Stripe
• Working with Scala, Spark, and Airflow
• Leverage LLM and Agents at scale to produce high-quality data on ambiguous problems
• Refine our existing data marts that help the GTM organization forecast the future potential performance of the business and reliably measure ongoing attainment toward targets
• Build data services that track key product metrics and measure the impact of different strategies employed by teams in the field

Requirements

• 6+ years of experience in a Software Engineering role, with a focus on building and maintaining data services, or data-intensive applications
• A strong engineering background and are interested in data
• Prior experience with writing and debugging data pipelines using a distributed data framework (Spark / Hadoop / Pig etc)
• An inquisitive nature in diving into data inconsistencies to pinpoint issues, and resolve deep rooted data quality issues
• Knowledge of a backend development language (such as Scala, Java, or Go) and strong SQL experience
• The ability to communicate cross-functionally, derive requirements and architect shared datasets

Preferred Qualifications

• Experience creating and maintaining Data Marts to power business reporting needs
• Experience working with Product or GTM (Sales/Marketing) teams

Team Matching

Team Matching: exact team matching for one of the subteams will begin during final stages. Please note we may also consider you for different orgs based on your experience, location, etc.

XML job scraping automation by YubHub

Your responsibilities will include:

Partnering with the sales team to help customers understand how Databricks can help solve their business problems Providing technical leadership for customers to evaluate and adopt Databricks Consulting on big data architecture, implementing proof of concepts for strategic customer projects, data science and machine learning projects, and validating integrations with cloud services and other 3rd party applications Building and presenting reference architectures, how-tos, and demo applications for customers Becoming an expert in, and promoting Databricks-inspired open-source projects (Apache Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars Traveling to customers in your region

To succeed in this role, you will need:

5+ years in a customer-facing pre-sales, technical architecture, or consulting role Experience designing and architecting distributed data systems Comfortable programming in, and debugging, at least one of: Python, Scala, Java, SQL, or R Experience supporting Public Sector clients Have built solutions with public cloud providers such as AWS, Azure, or GCP Expertise in at least one of the following: Data Engineering technologies (Ex: Spark, Hadoop, Kafka), Data Warehousing (Ex: SQL, OLTP/OLAP/DSS), Data Science and Machine Learning technologies (Ex: pandas, scikit-learn, HPO) Secret security clearance or willingness to obtain one

XML job scraping automation by YubHub

As an RSA, you will serve as a trusted technical advisor and hands-on expert, guiding customers to solve complex big data challenges using the Databricks platform.

Responsibilities:

• Serve as a trusted technical advisor and hands-on expert for customers on their data and AI transformation initiatives
• Guide customers to solve complex big data challenges using the Databricks platform
• Collaborate with customers to design and implement data and AI solutions
• Develop and maintain technical expertise in Databricks and related technologies
• Work closely with internal teams to ensure successful delivery of projects

Requirements:

• 10+ years of experience with Big Data Technologies such as Apache Spark, Kafka, and Data Lakes in a customer-facing post-sales, technical architecture, or consulting role
• 4+ years of experience as a Solution Architect creating designs, solving Big Data challenges for customers
• Expertise in Apache Spark, distributed computing, and Databricks platform capabilities
• Comfortable writing code in Python, PySpark, and Scala
• Exceptional SQL, Spark SQL, Spark-streaming skills
• Advanced knowledge of Spark optimizations, Delta, Databricks Lakehouse Platforms
• Expertise in Azure
• Expertise in NoSQL databases (MongoDB, Redis, HBase)
• Expertise in data governance and security (Unity Catalog, RBAC)
• Ability to work with Partner Organization and deliver complex programs
• Ability to lead large technical delivery teams
• Understands the larger competitive landscape, such as EMR, Snowflake, and Sagemaker
• Experience of migration from On-prem / Cloud to Databricks is a plus
• Excellent communication and client-facing consulting skills, with the ability to simplify complex technical concepts
• Willingness to travel for onsite customer engagements within India
• Documentation and white-boarding skills

Good-to-have Skills:

• Experience with ML libraries/frameworks: Scikit-learn, TensorFlow, PyTorch
• Familiarity with MLOps tools and processes, including MLflow for tracking and deployment
• Experience delivering LLM and GenAI solutions at scale (RAG architectures, prompt engineering)
• Extensive experience on Hadoop, Trino, Ranger and other open-source technology stack
• Expertise on cloud platforms like AWS and GCP

XML job scraping automation by YubHub

The ideal candidate will have a solid background in value selling, technical account management, and technical leadership. You will need to be technical and understand the relevance and application of machine learning and artificial intelligence within various use cases important to our target retail accounts.

Your responsibilities will include:

Developing and implementing account technical strategies in partnership with Account Executives Building technical champions within the account to influence key technical decisions Influencing stakeholders at all levels through complex engagements with the wider cloud ecosystem and third-party applications Being a champion for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Data Intelligence Platform Contributing to Databricks' technical community engagement by developing customer-facing collateral and leading workshops, seminars, and meet-ups

If you have 8+ years of customer-facing technical experience working in large enterprise customers, preferably in a pre-sales capacity, and possess deep technical expertise in key areas such as big data, data science, data engineering, data warehousing, and cloud technologies, we encourage you to apply.

You will also need to have hands-on expertise with complex proofs-of-concept and public cloud platforms, experience in a core programming language (such as Python, Java, or Scala), and the ability to architect complex technical solutions for specialized customer needs.

Nice to have: Databricks Certification

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

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

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

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

XML job scraping automation by YubHub

At xAI, we are building AI systems that push the frontier of human knowledge and scientific discovery. High-quality data is fundamental to every stage of that mission.

Our Data team is responsible for ensuring that the models are trained on the right data, in the right form, at the right quality, across every phase of the training lifecycle. This includes partnering closely with acquisition teams to identify where valuable data can be sourced, determining what data is needed to improve model performance, and building the production pipelines and systems that transform raw inputs into high-quality training data at scale.

As a Software Engineer on xAI's Data team, you will be responsible for developing applications that power data acquisition, preparation, training, quality evaluation, and delivery for model training. You will provide the ability to run training in a reliable, scalable and repeatable manner. You will also provide visibility on training status and data lineage.

Responsibilities

• Develop a highly reliable and scalable enterprise data platform to orchestrate data acquisition, preparation, training, quality evaluation, and delivery for model training
• Create new features such as data lineage, visibility, and monitoring for end-to-end training that improve the quality of the data and model performance
• Collaborate with peers on architecture, design, and code reviews
• Build prototypes to prove out key design concepts and quantify technical constraints
• Own all aspects of software engineering and product development
• Deep dive into business problems, find efficient solutions and apply first principles thinking

Basic Qualifications

• Bachelor's degree in computer science, data science, engineering, math, physics, or scientific discipline; OR 2+ years of professional experience building software in lieu of a degree
• 1+ years of experience in application development, software engineering, data engineering, or data science

Preferred Skills and Experience

• Programming experience in Python, Rust, Java, C#, Scala, Go or similar languages
• Frontend experience in Angular, React, or similar JavaScript frameworks
• Hands-on experience with Kubernetes and containerized deployments
• Experience with Ray, AI training and orchestration
• Experience with relational and non-relational databases, data lakes e.g. PostgreSQL, Iceberg, Clickhouse, or similar
• Experience with data exploration tools like Grafana, Superset, or similar
• Good understanding of version control, testing, continuous integration, build, deployment and monitoring
• Good understanding of statistics, machine learning algorithms and frameworks

XML job scraping automation by YubHub

In this role, you will:

• Design and build large-scale distributed messaging and media systems with a focus on reliability, availability, scalability and performance.
• Work closely with stakeholders and product teams to gather business requirements and translate them into effective technical solutions.
• Own your code end-to-end from development to deployment and provide operational support through on-call rotations.
• Take ownership of troubleshooting and resolving operational issues, with opportunities to enhance existing troubleshooting processes and tools.
• Participate in the refinement of the team's ticket backlog, estimating work and follow Agile ceremonies.
• Mentor early in career engineers and contribute to a culture of continuous learning and improvement.

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

XML job scraping automation by YubHub

As a Staff Engineer, you will serve as a subject matter expert in distributed systems, data technologies, with strong software engineering skills. You will architect and implement scalable and efficient data systems, storage solutions, and processing frameworks using state-of-the-art technologies.

Key responsibilities include:

• Serving as a subject matter expert in distributed systems, data technologies, with strong software engineering skills
• Architecting and implementing scalable and efficient data systems, storage solutions, and processing frameworks using state-of-the-art technologies
• Driving technical innovation and research to stay at the forefront of emerging data technologies and best practices
• Mentoring and coaching a team of talented engineers, fostering a culture of technical excellence, collaboration, and continuous learning
• Collaborating closely with cross-functional teams to understand business requirements and translate them into scalable and efficient technical solutions
• Ensuring data quality, integrity, and security throughout the data lifecycle, adhering to industry best practices and compliance standards

Required qualifications include:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• 8+ years of experience in software development, or a related field
• Proven track record of architecting and delivering complex data projects at scale, with a deep understanding of data infrastructure and distributed systems
• Expertise in big data technologies such as Hadoop, Spark, Kafka, and other distributed computing systems
• Experience designing, building, and operating large-scale systems using AWS technologies
• Proficiency in programming languages such as Python, Java, or Scala, with strong problem-solving skills and attention to detail
• Experience designing or working with Data Lakehouse architectures, including hands-on experience with Hudi, Iceberg, or Delta data formats
• Excellent communication and collaboration skills, with the ability to influence technical decisions and drive alignment across teams
• Strong leadership skills, with a track record of mentoring and developing junior engineers
• Demonstrated ability to thrive in a fast-paced, dynamic environment and deliver results under tight timelines

Desired qualifications include:

• Contributions to OSS projects
• Familiarity with data modeling, data warehousing, and ETL processes

This role will be remote, and based in the United States. Travel may be required to participate in project or team in-person meetings.

XML job scraping automation by YubHub

Join the team as Twilio's next L5 Machine Learning & Data Engineer to lead the design, build, and operation of the internal ML-and-data platform that powers every customer interaction. You will architect cloud-native pipelines, model-serving infrastructure, and developer tooling that allow Twilio's product teams to iterate rapidly and safely at scale, advancing our mission to unlock the imagination of builders.

In this role, you'll:

Architect and evolve Twilio's end-to-end ML and real-time data platforms for reliability, security, and cost efficiency.

Design scalable feature stores, streaming and batch pipelines, and low-latency model-serving layers on AWS.

Implement MLOps best practices,automated testing, CI/CD, monitoring, and rollback,for hundreds of daily deployments.

Own system design reviews, threat modeling, and performance tuning for high-volume communications workloads.

Lead cross-functional engineering efforts, breaking down complex initiatives into executable roadmaps.

Mentor staff and senior engineers, raising the technical bar through code reviews and pair programming.

Partner with Product, Security, and Compliance to meet stringent privacy and governance requirements (HIPAA, SOC 2, GDPR).

Champion a culture of experimentation, data-driven decision-making, and continuous improvement.

Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio.

XML job scraping automation by YubHub

You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform into one of our largest AI native customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on investment.

This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your account and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products.

The impact you will have:

• Engage with Solutions Architects to understand the full use case demand plan for prioritized customers
• Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
• Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks
• Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations
• Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise
• Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals
• Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs
• Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:

• Main use cases moving from ‘win’ to production
• Enablement / user growth plan
• Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision)
• Organic needs for current investment (e.g. cloud cost control, tuning & optimization)
• Executive and operational governance
• Provide internal and external updates
• KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression to your Technical GM

What we look for:

• 7+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers
• Programming experience in Python, SQL or Scala
• Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role
• Understanding of solution architecture related distributed data systems
• Understanding of how to attribute business value and outcomes to specific project deliverables
• Technical program, or project management including account, stakeholder and resource management accountability
• Experience resolving complex and important escalation with senior customer executives
• Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects
• Track record of overachievement against quota, Goals or similar objective targets
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
• Can travel up to 30% when needed

XML job scraping automation by YubHub

Some of the key responsibilities of this role include:

• Designing, building, and operating high-quality data lakes and software systems that feed them
• Writing production-grade software, services, APIs, tooling, and automation that enables data workflows and integrations at scale
• Collaborating with technical leads, product managers, and data analysts to build robust data products and analytics
• Finding innovative ways to use Trino and Starburst to solve complex data management and software architecture challenges
• Leveraging AI to democratize access to datasets for users throughout Starburst

We're looking for someone with at least 7 years of combined experience in software engineering and/or data engineering, with genuine depth in both. You should have strong software engineering fundamentals, including writing clean, testable, well-reviewed code in Java, Python, or Scala. Experience building and optimizing data pipelines using Trino, Spark, dbt, and related frameworks is also required.

If you're passionate about building scalable and reliable software systems, and have a strong desire to learn and grow with our team, we'd love to hear from you.

XML job scraping automation by YubHub

At Quantexa, you'll experience autonomy and support in equal measures allowing you to form a career that matches your ambitions. 41% of our colleagues come from an ethnic or religious minority background. We speak over 20 languages across our 47 nationalities, creating a sense of belonging for all.

You'll join our Research and Development department, working closely with our Engineering teams on our core Contextual Decision Intelligence product, the Quantexa Platform. The team focuses on building and improving solutions through thoughtful engineering practices, ensuring the Platform is delivered to a high standard in a sustainable and collaborative way.

Our products process, analyse and present large volumes of data, helping organisations identify unusual and potentially suspicious activity. The user interface supports detailed investigations into fraud and financial crime and helps users explore and understand complex networks.

The R&D department is based across London, Ireland and Malaga, and includes over 100 people working in agile teams made up of Engineers, Designers, QA specialists and others, each contributing to specific areas of the Platform.

In this role, you will:

• Work in partnership with multiple Engineering teams, supporting the delivery of new components and features for the Quantexa Platform, while maintaining a strong focus on quality
• Support, mentor and develop Engineers at all levels, contributing to recruitment, onboarding, learning and progression opportunities across the department
• Be based in the UK, with occasional travel to our European offices when helpful
• Bring sufficient technical experience to contribute to architectural and technical discussions and help teams consider the broader context of their decisions
• Encourage the thoughtful use of AI to support engineering effectiveness and product development, helping teams adopt tools and practices throughout the software development lifecycle
• Collaborate with Product Managers and Team Leads to plan upcoming work, supporting teams through Agile ways of working
• Partner with Product Management to understand market needs and align them with Engineering capabilities to create achievable and clear roadmaps
• Coordinate release activities across Engineering teams and communicate progress to stakeholders to support predictable and well-paced delivery
• Help teams manage dependencies, identifying risks or blockers early and supporting their resolution
• Identify opportunities to improve processes, ways of working and collaboration across the department, with a focus on quality, sustainability and scale
• Work with stakeholders outside the department to understand and respond to their needs in a considered and transparent way
• Support the day-to-day operational activities of the department

XML job scraping automation by YubHub

Infrastructure & Platform Services builds and runs the technology foundation for EA's games. Our teams deliver the live services and backend infrastructure that are used to ship, scale, and operate secure, reliable game experiences for millions of players worldwide.

As a Software Engineer III, you will report to a Senior Engineering Manager. You will develop dynamic, responsive, and resilient systems. You will design and implement automated AI workflows for self-service onboarding. You will implement automated data migration and data backup strategies for system backup and restore. You will design, implement, and maintain complex systems and features end-to-end. You will implement security best practices including access control for ingestion and search platforms.

Key responsibilities include:

• Developing dynamic, responsive, and resilient systems
• Designing and implementing automated AI workflows for self-service onboarding
• Implementing automated data migration and data backup strategies for system backup and restore
• Designing, implementing, and maintaining complex systems and features end-to-end
• Implementing security best practices including access control for ingestion and search platforms

Requirements include:

• 6+ years of professional experience programming back-end services
• Expertise in Scala or Java
• Proficiency in Python
• Experience implementing AI solutions and workflows
• Experience delivering and managing high-traffic, high-performance services
• Expertise in Search Platform technologies including OpenSearch or ElasticSearch
• Exposure to both imperative and functional programming languages
• Experience deploying and maintaining virtual infrastructure on AWS (e.g., EKS, OpenSearch, Terraform), or other cloud providers
• Experience building CI/CD pipelines

This is a hybrid remote/in-office role.

XML job scraping automation by YubHub

About the Role: We are seeking an experienced Software Engineer III (Data) to join our fast-paced, collaborative data team. In this role, you will have broad authority to drive the direction of our technographic data services, building world-class data pipelines and systems to process billions of signals and data points. This is an exciting opportunity to solve challenging problems and make a big impact as we invest in making technographics a first-class offering.

Responsibilities:

• Build and optimize big data pipelines to extract and process signals from the web, job postings, and other sources
• Design and implement data architectures and storage solutions to efficiently handle massive data volumes
• Collaborate closely with data scientists to support and integrate ML models into data workflows
• Continuously improve data quality, performance, and scalability of our technographic data platform
• Drive technical strategy and roadmap for the data processing infrastructure

What We're Looking For:

• Extensive experience building and scaling big data pipelines and architectures from scratch
• Deep expertise in big data frameworks (Hadoop, Spark) and the JVM stack (Java, Scala)
• Strong software engineering fundamentals and ability to write efficient, high-quality code
• Experience with entity recognition and NLP techniques a plus
• Proven track record delivering results and driving projects in a fast-paced environment
• Excellent collaboration and communication skills to work with data scientists, analysts and product teams
• Passion for leveraging huge datasets to power valuable insights

Ideal Background:

• 5+ years of experience in software engineering roles.
• Experience working with very large datasets and distributed systems
• Familiarity building data pipelines at large tech companies or data-driven organisations
• Bachelor's or advanced degree in Computer Science, Engineering or related technical field.

XML job scraping automation by YubHub

In partnership with our Account Executives, you will engage with our customers' technical leads, including architects, engineers, and operations teams with the goal of establishing yourself as a trusted advisor to achieve tangible outcomes. You will work with teams across Databricks and our executive leadership to represent your customer's needs and build valuable customer engagements and report to the Field Engineering Manager.

The impact you will have:

• You will work with Sales and other essential partners to develop account strategies for your assigned accounts to grow their usage of the platform.
• Establish the Databricks Lakehouse architecture as the standard data architecture for customers through excellent technical account planning.
• You will build and present reference architectures and demo applications for prospects to help them understand how Databricks can be used to achieve their goals to land new users and use cases.
• Capture the technical win by consulting on big data architectures, data engineering pipelines, and data science/machine learning projects; prove out the Databricks technology for strategic customer projects; and validate integrations with cloud services and other 3rd party applications.
• Become an expert in, and promote Databricks inspired open-source projects (Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars.

What we look for:

• 5+ years in a customer-facing pre-sales, technical architecture, or consulting role with expertise in at least one of the following technologies:
• Big data engineering (Ex: Spark, Hadoop, Kafka)
• Data Warehousing & ETL (Ex: SQL, OLTP/OLAP/DSS)
• Data Science and Machine Learning (Ex: pandas, scikit-learn, HPO)
• Data Applications (Ex: Logs Analysis, Threat Detection, Real-time Systems Monitoring, Risk Analysis and more)
• Experience translating a customer's business needs to technology solutions, including establishing buy-in with essential customer stakeholders at all levels of the business.
• Experienced at designing, architecting, and presenting data systems for customers and managing the delivery of production solutions of those data architectures.
• Fluent in SQL and database technology.
• Debug and development experience in at least one of the following languages: Python, Scala, Java, or R.
• [Desired] Built solutions with public cloud providers such as AWS, Azure, or GCP
• [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)
• Travel to customers in your region up to 30% of the time.

XML job scraping automation by YubHub

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

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

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

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

The impact you will have:

• Form successful relationships with clients in the Greater China Region to provide technical and business value in collaboration with Account Executives.

• Operate as an expert in big data analytics to excite customers about Databricks.

• Develop into a 'champion' and trusted advisor on multiple issues of architecture, design, and implementation to lead to the successful adoption of the Databricks Data Intelligence Platform.

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

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

What we look for:

• Engage customers in technical sales, challenge their questions, guide clear outcomes, and communicate technical and value propositions.

• Develop customer relationships and build internal partnerships with account executives and teams.

• Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Apache Spark.

• Proficient with Big Data Analytics technologies, including hands-on expertise with complex proofs-of-concept and public cloud platform(s).

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

• Business proficiency in Mandarin and experience in the Greater China Region are required to enable effective collaboration and understanding of client needs.

The successful candidate will engage with the Greater China Region customers in Mandarin for technical sales discussions, address technical challenges, and articulate clear technical solutions and value propositions.

XML job scraping automation by YubHub

This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation.

The impact you will have:

• Engage with Solutions Architects to understand the full use case demand plan for prioritised customers
• Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
• Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks
• Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organisations
• Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise
• Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals
• Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs
• Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:

• Main use cases moving from ‘win’ to production
• Enablement / user growth plan
• Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision)
• Organic needs for current investment (e.g. cloud cost control, tuning & optimisation)
• Executive and operational governance
• Provide internal and external updates
• KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression to your Technical GM

What we look for:

• 5+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers
• Programming experience in Python, SQL or Scala
• Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role
• Understanding of solution architecture related distributed data systems
• Understanding of how to attribute business value and outcomes to specific project deliverables
• Technical program, or project management including account, stakeholder and resource management accountability
• Experience resolving complex and important escalation with senior customer executives
• Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects
• Track record of overachievement against quota, Goals or similar objective targets
• Bachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
• Can travel up to 30% when needed

XML job scraping automation by YubHub

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

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

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.

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 Sr. Manager, Professional Services.

The impact you will have:

• You will work on a variety of impactful customer technical projects which may include building reference architectures, how-to's and production grade MVPs / Greenfield projects

• 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 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:

• 8+ years 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

• Comfortable writing code in either Python or Scala

• 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 - 30% of the time

Nice to have: Databricks Certification

XML job scraping automation by YubHub

Your responsibilities will include:

• Leading technical teams to implement our products and services in large and complex accounts
• Building and maintaining relationships with key stakeholders in these accounts
• Developing and executing technical strategies to drive business outcomes for our clients
• Collaborating with our sales team and technical peers to drive business growth
• Staying up-to-date with industry trends and emerging technologies to ensure our solutions remain competitive

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

• A strong background in technical sales and account management
• Experience working with large and complex accounts
• Excellent communication and interpersonal skills
• Strong technical skills, including proficiency in languages such as Python, R, Scala, or Java
• Ability to work in a fast-paced environment and adapt to changing priorities

Nice to have:

• Databricks, Snowflake, AWS, or Azure certification
• Experience with data-driven business transformation and driving change with data

Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range for this role is $152,300 - $209,450 USD per year, depending on location and experience.

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

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

XML job scraping automation by YubHub

You will design, build, and scale the distributed systems that power one of the largest data and AI infrastructures in the world. You will tackle high-scale infrastructure challenges where 'zero-waste' compute efficiency and 100% system resilience are mandatory. From optimizing massive data storage layers to architecting low-latency microservices that must function in disconnected regions, you will own the end-to-end lifecycle of mission-critical code.

You will have the opportunity to work on a wide range of projects, from designing and implementing highly available backend services using Scala, Java, Go, C++/C or similar, to solving complex architectural trade-offs around concurrency, storage, and networking to ensure the platform remains resilient in high-consequence public sector environments.

In addition to your technical expertise, you will be working closely with cross-functional teams, including Production Engineering, to ensure all backend services meet the highest security standards and compliance guardrails while maintaining high availability.

To be successful in this role, you will need to have a strong production-level experience in at least one of: Java, Scala, Go, or C++. You will also need to have experience building and deploying large-scale SaaS or cloud-native applications, as well as a deep understanding of Distributed Systems, concurrency, and performance optimization.

If you are a motivated and experienced software engineer looking for a new challenge, please apply!

XML job scraping automation by YubHub

We are looking for world-class Software Engineers to join our core Backend Engineering teams. You will design, build, and scale the distributed systems that power one of the largest data and AI infrastructures in the world. You will tackle high-scale infrastructure challenges where 'zero-waste' compute efficiency and 100% system resilience are mandatory. From optimising massive data storage layers to architecting low-latency microservices that must function in disconnected regions, you will own the end-to-end lifecycle of mission-critical code.

Key responsibilities include:

• Architecting scalable systems using Scala, Java, Go, C++/C or similar
• Designing and implementing highly available backend services in Java, Scala, or Go that power our Data Intelligence Platform across sovereign and air-gapped clouds
• Solving complex architectural trade-offs around concurrency, storage, and networking to ensure the platform remains resilient in high-consequence public sector environments
• Driving 'zero-waste' compute initiatives, optimising our engine and services to perform in resource-constrained or specialised regions (e.g., GovCloud)
• Partnering with Production Engineering to ensure all backend services meet the highest security standards and compliance guardrails while maintaining high availability

XML job scraping automation by YubHub