Staff Technical Program Manager

Databricks

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.   As a Staff Frontend Engineer, you will work with your team and product management to make insights from data simple. We are looking for engineers that are customer obsessed, who can take on the full scope of the product and user experience beyond the technical implementation. You'll set the foundation for how we build robust, scalable and delightful products. Below are some example experiences you'll create for our customers to achieve the full project lifecycle from loading data, visualizing results, creating statistical models, and deploying as production artifacts. * Design and ship reusable UI primitives and component patterns that behave consistently across consoles, enabling a write‑once, run‑anywhere model.  * Define application bootstrapping and cross‑surface navigation primitives that abstract console boundaries while enforcing correct AuthZ and routing. * Deliver unified frontend data clients and service components. * Create, deploy, test, and upgrade platform components that power complex frontend data exploration and visualization experiences. * Provide reference patterns, templates, and tests that standardize portability, reduce rework, and accelerate delivery of cross-surface features.  * Partner with feature teams to land single‑console experiences and migrations on the platform (from pilot pages to scaled adoption). What we look for: * 10+ years of experience with HTML, CSS, and JavaScript/TypeScript * Experience leading large multi-quarter efforts with a demonstrated customer or business impact * Passion for user experience and design and an understanding of front-end architecture * Comfortable working towards a multi-year vision with incremental deliverables * Motivated by delivering customer value * Experience with modern JavaScript frameworks (e.g., React, Angular, or VueJs/Ember) * Familiarity with server-side web technologies is a plus * Knowledge of (and a passion for) current trends and best practices in front-end architecture, including performance, accessibility, security and usability * Experience building large-scale products Benefits * Comprehensive health coverage including medical, dental, and vision * 401(k) Plan * Equity awards * Flexible time off * Paid parental leave * Family Planning * Gym reimbursement * Annual personal development fund * Work headphones reimbursement * Employee Assistance Program (EAP) * Business travel accident insurance * Mental wellness resources       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 $181,000—$261,000 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.

Coupang

We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did I ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we’re collectively disrupting the multi-billion-dollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce.    We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day.    Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world Coupang is reimagining the shopping experience with the goal of wowing each customer from the instant they open the Coupang app to the moment an order is delivered to their door. Powered by an outstanding end-to-end e-commerce and logistics network and a fanatical culture of customer centricity, Coupang has broken tradeoffs around speed, selection and price. Role Overview: Ads data platform team is a key team in the Ads foundation organization. Help us build the data engine behind Coupang Ads. Our team provides the foundational platform that manages and serves all data used in our ads-serving pipeline. We’re looking for backend experts passionate about big data and high-concurrency systems. You’ll be tasked with building a scalable, resilient, and low-latency infrastructure from the ground up, turning massive data streams into real-time business impact. What You Will Do: * Architect and scale high-throughput data processing pipelines and serving infrastructure critical to real-time ad delivery. * Engineer our next-generation data platform, focusing on self-service capabilities that empower cross-functional teams to deploy data into production with minimal friction. * Bridge the gap between business strategy and technical execution, translating complex ads logic into highly distributed, efficient, and resilient system architectures. What we are looking for * Bachelor's degree in computer science, Electrical Engineering, Math, or a closely related field * 8 years of experience in backend software development * Experience working in cloud environments, particularly AWS * Demonstrated experience in building and maintaining highly available, distributed systems * Proven track record of taking ownership and successfully delivering results * Experience building ads serving system. * Ability to clearly and concisely communicate with technical and non- technical stakeholders across all levels of the organization * Ability to work in multi-cultural, cross functional team * Experience building highly scalable and low latency systems in a fast paced, team-oriented environment * Experience leading a project of building large scale data serving platform * Proficiency in Java and the Spring Frameworks Preferred Qualifications * Ability and desire to drive solid design work on multi-threaded/multi-process, distributed system * A passion to explore, improve, automate and optimize distributed systems and tools * Proven ability to lead and collaborate in cross-functional, fast-paced environments * Ability to think outside-the-box and challenge conventional wisdoms * Experience with advertising systems/Search advertising/Advertising Marketplace/Display advertising/Ad Server * Experience working with AWS (Amazon web services) * Familiarity with Agile development practices, including code reviews, testing, and CI/CD pipelines * Experience managing mission-critical services with high throughput and low latency * Experience working in fast pacing environment * Experience with Spark/Hive/Redis//Kafka * Strong communication skills for interfacing with technical teams, business stakeholders, and end users Pay & Benefits   Our compensation reflects the cost of living across several US geographic markets. At Coupang, your base pay is one part of your total compensation.  The base pay for Senior Staff position ranges from $174/year to $299/year. The base pay for a Staff position ranges from $164K to $282K/year. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills, and experience.  General Description of All Benefits  * Medical/Dental/Vision/Life, AD&D insurance       * Flexible Spending Accounts (FSA) & Health Savings Account (HSA)      * Long-term/Short-term Disability      * Employee Assistance Program (EAP) program      * 401K Plan with Company Match      * 18-21 days of the Paid Time Off (PTO) a year based on the tenure      * 12 Paid Holidays      * up to 6 weeks of Paid Parental leave      * Pre-tax commuter benefits      * MTV - [Free] Electric Car Charging Station       General Description of Other Compensation         “Other Compensation” includes, but is not limited to, bonuses, equity, or other forms of compensation that would be offered to the hired applicant in addition to their established salary range or wage scale.       Recruitment Process and Others  Recruitment Process    * Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer   * The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances.   * Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage.   Details to Consider   * This job posting may be closed prior to the stated end date for application if all openings are filled.   * Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process.   * Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws.   Privacy Notice    * Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below: https://www.coupang.jobs/privacy-policy/    Coupang is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, or gender (including pregnancy, gender identity, gender expression, sexual orientation, transgender status), national origin, age, disability, medical condition, HIV/AIDS or Hepatitis C status, marital status, military or veteran status, use of a trained dog guide or service animal, political activities, or affiliations, citizenship, or any other characteristic or class protected by the laws or regulations in the locations where we operate. If you need assistance and/or reasonable accommodation in the recruiting process due to a disability, please contact us at usrecruiting@coupang.com.     Job Requisition ID: R0073686 Equal Opportunities for All  * Coupang is an equal opportunity employer. Our unprecedented success could not be possible without the valuable inputs of our globally diverse team.

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.