Staff Software Engineer, Capacity Engineering

Databricks

Who we are At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. Our AI-powered Assistant serves as the initial point of contact for customers seeking assistance on how to use our platform effectively. The Customer Engagement and Docs platform team's objective is to help customers resolve their problems faster using AI / LLMs.  We provide customers with precise and comprehensive solutions to their problems or build experiences to facilitate a seamless escalation to a support agent when necessary.  As a Staff Engineer, you will operate at the intersection of Product development and Machine Learning. Responsibilities include gaining a deep understanding of user behavior; identifying factors contributing to problems; leveraging Product, Machine Learning (ML) and Large Language Models (LLMs) to analyze intricate technical use cases within a secure enterprise environment and eventually providing a path to resolving them. The impact you will have: * Lead design, development, and deployment of systems for Evaluation, Answer retrieval and Quality improvement for helping customers.  * Lead architectural decisions to ensure performance, reliability, and accuracy of the knowledge systems. * Drive best practices for engineering excellence, including design reviews, code quality, testing strategies, and performance optimizations. * Deliver high-quality, production-ready code and services end-to-end — including performance tuning, resiliency improvements, and debugging in live environments. * Contribute to longer-term technical planning and support strategic initiatives in Assistant and Support organizations.   What we look for: * 6+ years of industry experience building and operating large-scale distributed systems. * Demonstrated technical proficiency in machine learning and software engineering, coupled with a strong product-oriented approach. * The capacity to define and structure solutions in ambiguous problem domains. * Ability to mentor and guide junior engineers, as well as to effectively collaborate across various team boundaries. * Track record of driving high-impact, technically complex initiatives that delivered clear customer or business value. * Prior experience with retrieval systems and search technologies is a plus.   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 $190,000—$260,000 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Trustly

WHO WE ARE At Trustly, we're building a smarter, faster, and more secure financial future by revolutionizing the world of payments. As a global leader in Open Banking Payments, we are establishing Pay by Bank as the new standard at checkout, providing unparalleled freedom, speed, and ease to millions of consumers and merchants worldwide.   Our Ambition: To build the world’s most disruptive payment network and redefine what the payment experience should feel like.   Trustly is a global team of innovators, collaborators, and doers.  If you are driven by a strong sense of purpose and thrive in a dynamic, entrepreneurial, and high-growth environment, join us and be part of a team that’s transforming the way the world pays. ABOUT THE AI ENABLEMENT TEAM The AI Enablement team sits at the intersection of technology, product, and people — responsible for accelerating Trustly's capacity to build and scale AI-powered capabilities across the organization. The team partners deeply with Engineering, Product, Data, and Operations to identify high-leverage opportunities, drive adoption of AI tooling, and establish the frameworks that let Trustly move faster and smarter. ABOUT THE ROLE As a Staff AI Enablement Engineer, you'll be one of the most technically influential individual contributors at Trustly — part of the special forces team bringing agentic workflows and the productivity gains they unlock to every function in the company. Your users aren't just engineers: they're teammates in finance, legal, operations, sales, and beyond, all trying to figure out how to actually work with AI. You'll design and build the internal platforms, evaluation frameworks, and tooling that make it easier and faster for any team at Trustly to adopt agentic ways of working. This is a high-autonomy, high-ownership role for an experienced engineer who loves being in the weeds on hard technical problems and then scaling their solutions across an entire organization. WHAT YOU'LL DO Design, build, and maintain Trustly's core AI platform — including LLM integration infrastructure, prompt management systems, evaluation pipelines, and agentic workflow tooling. Partner with product and engineering teams across Trustly to embed AI capabilities into core products: payments, risk decisioning, fraud detection, developer tooling, and customer-facing surfaces. Establish and own evaluation standards for AI systems — building robust testing frameworks that assess quality, safety, latency, cost, and reliability at scale. Lead technical discovery and prototyping on high-ambiguity problems: evaluate new foundation models, agentic architectures, and toolchains; produce clear recommendations grounded in data. Drive internal AI adoption by creating reusable libraries, patterns, documentation, and enablement resources that reduce the barrier for engineering teams to build with AI. Collaborate with the VP of AI Enablement and cross-functional stakeholders to influence the technical roadmap and represent engineering constraints and opportunities in strategic conversations. WHO YOU ARE 8+ years of software engineering experience, with at least 3 years focused on AI/ML systems, LLM infrastructure, or applied ML in production environments. Deep hands-on experience building with LLMs and modern AI stacks — including RAG, fine-tuning, prompt engineering, function calling, and multi-step agentic workflows. Strong software engineering fundamentals: you write clean, production-grade code and design systems that are observable, testable, and maintainable. Experience operating at Staff+ scope — driving technical decisions that span multiple teams, mentoring other engineers, and leading by influence rather than authority. Track record of taking AI capabilities from prototype to production in a high-reliability environment — understanding the gap between a demo and something that runs at scale. Comfortable with ambiguity: you can scope and execute on poorly-defined problems, communicate tradeoffs clearly, and move quickly without sacrificing quality.

Databricks

RDQ427R333 ABOUT THE ROLE Databricks is looking for a highly capable, process-driven, and proactive Executive Assistant to support a Senior Leader within Product & Engineering, while also supporting our SVP of Corporate Development & Ventures. The primary mission of this person is to support our Engineering and Product leaders, partnering with them to operationalize their teams' cross-functional strategies. You will serve as a key liaison across various departments—including Sales, Marketing, IT, and other critical functions—to ensure alignment and execution. Additionally, you will drive strategic initiatives and community events that foster collaboration across the Engineering and Product organizations. While deeply rooted in supporting a massive internal engineering footprint, this high-visibility, fast-paced role sits at a unique intersection. You will also manage the rhythm of a deal-driven corporate development environment, triaging incoming requests from startups, founders, and investors, and handling highly sensitive, confidential information with absolute discretion. THE IMPACT YOU WILL HAVE * Ensure the Engineering leader is prepared for all meetings, with an accurate and forward-looking calendar. * Effectively prioritize the calendar and schedule meetings in a timely manner. * Provide timely responses to all stakeholder requests. * Enhance the Engineering leader's time efficiency, leading to a more productive team and company. * Execute strategic initiatives well, delivering on defined outcomes. RESPONSIBILITIES * Calendar Management: Organizes all meetings across international time zones, including but not limited to internal engineering team meetings, customer meetings, internal business partners, and external venture/M&A requests. * Request Tracking & SLAs: Builds and maintains records of all meeting requests and closes out all requests in a timely manner. Keeps to a strong SLA on responding to requests from both internal technical staff and external stakeholders (founders, investors, bankers). * Meeting Preparation: Ensures all meeting invites have the appropriate details, context, and documentation to have an effective meeting, protecting executive focus time. * Event Management: Manages offsite meetings, events, and programs in support of the leaders and their staff, ensuring team events, leadership dinners, or investor meetings are executed with polish and precision. * Operational & Travel Support: Manages briefing materials, executive correspondence, and select domestic and international travel, anticipating needs before they are expressed to keep leaders operating at full capacity. * Confidentiality & Discretion: Handles sensitive, non-public information—including product roadmaps, M&A targets, term sheets, and board-level matters—with the judgment and professionalism appropriate to that trust. * Team Coverage: May be required to support other executive staff members if there's a coverage gap due to PTO, sickness, maternity leave, or other absences. COMPETENCIES & QUALIFICATIONS * Minimum of 7+ years of applicable executive administrative experience, ideally from a global software organization. * Proven track record working with VPs/SVPs in Engineering and Product in large organizations. * Experience working with VPs managing over 2000+ people in engineering, customer-facing, and/or technical roles. * Ability to work at a fast pace with shifting priorities in a hyper-scaling, high-growth company, with experience directly supporting an executive staff member. * High attention to detail, organization, and process abilities; structured thinking with an operational mindset that can bring order to chaos. * Strong calendaring skills (Gmail and Google Calendar experience mandatory). * Strong relationship management skills and the ability to build a personal network throughout the company; you earn trust quickly and know how to work through organizational complexity. * Strong teamwork skills, and a confident ability to offer suggestions and improvements to the process, and work very collaboratively with others. * Strong oral and written communication with the ability to communicate clearly and effectively with senior leaders, developers, and external partners. * Technology Fluency: A genuine curiosity about technology, high-growth companies, and the AI/data landscape. Comfortable dealing with engineers, technical leaders, and opinionated entrepreneurs. WHY THIS ROLE You'll work alongside the core engine of Databricks and one of the most active corporate development teams in enterprise tech. This role offers deep exposure to how a top-tier data and AI company grows through both engineering innovation and strategic acquisitions. Our leaders value a true partnership—someone who grows into the role, develops deep context about the business and ecosystem, and becomes an indispensable part of how the team operates.   Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.   Zone 1 Pay Range $62.31—$85.67 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.