Staff Product Engineer

Databricks

RDQ427R276 Location: San Francisco or Seattle 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. More about the team: The AI Platform team builds the infrastructure that powers machine learning and AI at scale on Databricks. Our products span the full ML lifecycle — from feature engineering and model training to model serving and monitoring — enabling data and AI teams to build, deploy, and operate production ML systems with confidence. We work across some of the most technically demanding areas in the platform, including recommendation systems, real-time inference, large-scale distributed training, LLM infrastructure, vector search, and feature stores. Our mission is to make it radically easier for enterprises to put AI into production. We do this by providing a unified, governed, and performant AI platform that integrates deeply with the Databricks Data Intelligence Platform — connecting MLflow, Unity Catalog, Model Serving, Vector Search, Feature Engineering, LLM, and Agent infrastructure into a cohesive experience. You will join a team that ships products used by thousands of the world's most sophisticated data and AI organizations. You will drive the vision and roadmap for AI platform product areas and define how customers build, train, deploy, and monitor AI and ML systems on Databricks. You will collaborate across engineering teams to deliver an integrated and powerful path from experimentation to production. The impact you will have: * You will own the product roadmap for AI platform areas — defining what we build, why, and in what order — to accelerate customer adoption of AI and ML in production. * You will drive strategy for key AI platform capabilities, shaping how enterprises operationalize AI at scale. * You will partner closely with engineering teams to make deeply technical decisions about ML infrastructure — from distributed training architectures to real-time serving systems. * You will represent the voice of the customer by engaging directly with enterprise ML teams, translating their pain points and workflows into platform capabilities that simplify the path to production AI. * You will collaborate with GTM, Solutions Architecture, and Customer Success teams to drive enterprise adoption, shape field enablement, and inform competitive positioning. * You will define pricing, packaging, and commercialization strategy for AI platform features, working with business teams to maximize value capture. * You will grow end-user engagement with Databricks AI tools by identifying adoption bottlenecks and partnering cross-functionally to remove them. What we look for: * 5+ years of experience as a Product Manager working on platform or infrastructure products, ideally in ML/AI, data, or cloud services. * Deep technical background — CS, EE, or equivalent degree strongly preferred; former software engineer experience is a significant plus. You should be comfortable going deep on system architecture, writing technical specs, and engaging credibly with world-class ML engineers. * Experience with ML/AI infrastructure, data platforms, or cloud services (e.g., model training, model serving, feature stores, vector search, LLM infrastructure, ML pipelines, or similar systems). Familiarity with recommendation systems is a bonus. * Proven enterprise B2B product management experience with highly technical customers — you have shipped platform products, driven commercial outcomes, and worked with field teams to land enterprise deals.   Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.   Zone 2 Pay Range $172,600—$237,325 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.

Databricks

RDQ427R275 Location: San Francisco or Seattle  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.  More about the team:  The Serverless Workspaces team is the engine behind Databricks' shift from a "configure-first" to a "use-now" platform. We are redefining the customer onboarding experience by removing the heavy lifting of cloud infrastructure without complicated networking, storage, and cluster configuration, just instant access to data and AI. Our mission is to deliver "Workspaces in Seconds." We are building the invisible infrastructure that allows any use (not just infrastructure or IT teams) to spin up a fully governed, secure, and compliant Databricks environment instantly. You will own the strategy for this next-generation platform layer, balancing the simplicity of a SaaS experience with the control enterprise customers demand. The impact you will have: * Drive the transition to Serverless: You will lead the strategy to unify the journey to onboard to serverless and classic workspaces and drive 10X usage of serverless in the next year  * Democratize Workspace Creation: You will design and ship flows that allow users to spin up workspaces instantly with little friction while maintaining strict governance guardrails and company policies * Redefine the "Getting Started" experience: You will lower the barrier to entry by removing the requirement for customers to manage detailed cloud infrastructure configurations before using Databricks but allowing them dial those in when they’re ready * Solve "Workspace Proliferation": As creating workspaces becomes easier, you will help define the tools and policies that allow Admins to confidently govern increased amounts of workspaces across the enterprise * Unify the Data Estate: You will work closely with the Unity Catalog and Identity teams to ensure that these new serverless environments seamlessly integrate with a customer’s existing data and security models. What we look for: * 7+ years of experience as a Product Manager working on cloud infrastructure, developer platforms, or SaaS foundations. * Technical depth in Cloud Infrastructure: Familiarity with AWS, Azure, or GCP resource management (e.g. networking, compute, identity) and how to abstract that complexity for end-users. * Passion for simplification: You have a track record of taking complex technical workflows (like configuring a VPC or peering) and turning them into "one-click" consumer-grade experiences. * Data-driven mindset: You are comfortable defining and tracking KPIs, such as "Time to First Workspace" or "Serverless Adoption Rate," to measure success.   Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.   Zone 2 Pay Range $172,600—$237,325 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.

Stripe

About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. ABOUT THE TEAM The Cards team at Stripe is responsible for the infrastructure, user facing features, and business of accepting credit, debit, and pre-paid card payments. Delivering the best offering for processing credit, debit, and prepaid cards is critical to Stripe’s mission, given the central role card payments play in internet commerce.  WHAT YOU’LL DO As a Staff Product Manager for Cards Monetization at Stripe, you’ll be responsible for pricing Card payment products worldwide. Everyday - You’ll balance the needs of our customers and competitive landscape, while helping Stripe maintain its margins.  At Stripe, Product Managers help build innovative payments products for our customers. Product development is an extremely collaborative effort between engineering, design, analytics, operations and customer-facing teams. You’d be joining a team of experienced Product Managers who have a track record of successfully building large-scale business and consumer products that are collectively impacting millions of users around the world. This strategically critical role offers significant exposure to Stripe's leadership as you will drive initiatives to create observability into Stripe’s margins and revenue realization on Cards, define pricing principles and streamline pricing operations. Working with Sales teams, you’ll build out B2B pricing stack, ensuring we automate bundling and discounting decisions. Finally, you’ll work backwards from merchants to define and deliver new pricing models that meet the needs of their growing businesses. This is a highly cross-functional role - On a day to day basis, you will spend your time between meeting customers (both internal and external), and working with your engineering, operations, analytics, network partnership, pricing, finance and GTM counterparts. You will use the voice of the customers, go deep into data, and leverage ML/GenAI as you define pricing strategies and build margin and revenue monitoring and alerting systems.  In short, you’ll own business growth through pricing optimization. Unsurprisingly, your decisions will have millions of dollars of impact to Stripe’s business.   RESPONSIBILITIES Lead Card IC+ pricing/product. Launch Stripe’s IC+ pricing on Cards in new geos and grow adoption with enterprise users.  * Ensure we enable GTM teams with the right tools and cost assumptions to streamline sales and customer success processes for IC+ product. * Lead Cards Monetization for Stripe. You’ll be defining what Stripe charges for card transactions worldwide. You’ll define pricing principles, drive pricing decisions and operationalize those decisions working with pricing, finance, marketing and GTM teams. * To effectively set prices, you’ll work with engineering and data science to build observability into current pricing, margin and revenue realization. You’ll drive insights, and translate those into pricing recommendations.  * You’ll define processes for competitive analysis and regular pricing audits. Over time, you’ll work with engineering and data science to automate pricing processes. * You’ll research best practices pricing automation (such as algorithmic bundling and discounting), and build out an end to end B2B pricing automation stack at Stripe. * You’ll work backwards from customers, and keep a keen eye on competitors to identify new pricing models. You’ll build the business case, find ways to test, and if validated, work across the company to launch the new pricing models.  * On a daily basis, you’ll work with various stakeholders across the organization, including Engineering, Design, Data Science, GTM, Pricing, Marketing, PMs and Operations to drive flawless execution on product and pricing initiatives. Ultimately, you’ll co-own revenue growth and margin improvements for Cards business through IC+ launches and pricing improvements.  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 * 10+ years of experience in a product role * Deep understanding of B2B GTM, Pricing and Contracting processes and tools * Ability to effectively collaborate with engineering, product, data science, and cross-functional teams. * Experience working with go-to-market teams in a B2B sales environment.  * Experience in B2B Pricing/Monetization  * Ability to deeply analyze data, derive insights, and make data-driven decisions. Proven track record of instrumenting and measuring product initiatives, including those with less obvious metrics. * Strong written and verbal communication skills with a talent for simplifying complex concepts * Proven successes in delivering continuous product improvement as well as 0 ->1 launches * Ownership mindset and persistence to work on whatever it takes to ensure that your product is successful * Proven ability to deliver high-impact presentations to executive audiences. * Has the ability to thrive with a high level of autonomy and responsibility PREFERRED QUALIFICATIONS * Prior background in Strategy Consulting and/or Finance * Prior experience of building data observability platforms * Experience in Payments, working with Card Networks or Banking partners. * Experience working with ML, data science and data analyst teams. SQL proficiency will help.