At bunq, we're not just building a banking app; we're reshaping how people around the world experience financial freedom. As our Automation and Retool Engineering Lead, you will be the force multiplier for our entire operation. Your mission is to empower our internal teams with world-class tooling and automation, enabling them to provide instant and effective help to our users and multiply their own productivity.
\nAs the Automation and Retool Engineering Lead, you will own the health, strategy, and velocity of our internal tooling and automation ecosystem.
\nResponsibilities:
\nRequirements:
\nYour space to perform We give you the space and the tools you need to succeed
\nBenefits:
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At KoBold, software engineers have the unique opportunity to embed directly with their users and learn the ins and outs of mineral exploration and geology while developing state-of-the-art technology solutions.\\n\\nUnlike traditional software engineering roles, we don't simply ship code and passively wait for feedback about its utility: our userbase includes our colleagues... and ourselves!\\n\\nWhile there are real technical challenges in making mineral exploration data broadly searchable and accessible to both humans and machines, we believe that solving these technical challenges cannot be done without "getting our hands dirty" – sometimes literally! – by embedding directly with the exploration teams and even occasionally (~once a year) joining our colleagues in the field, be it in Zambia, Canada, or Arizona, to experience the impact of our software in real time.\\n\\nAs a Software Engineer on the Data Systems Engineering team at KoBold, your main role will be to enable systematic exploration and materially improve exploration success rates by making mineral exploration data broadly accessible to humans and machines.\\n\\nPast projects have included SIP (the Structured Ingest Pipeline), DataKit generation (producing curated sets of data on demand), and RAG (Retrieval Augmentation Generation, utilizing natural language processing on unstructured data).\\n\\nOur tech stack is primarily python and includes Django, React, AWS, and additional technologies like Retool and Prefect.\\n\\nYour work will empower KoBold to unlock invaluable insights and streamline intricate scientific processes.\\n\\nCollaborating with our exceptional team of data scientists, geologists, and other software engineers, you will have the opportunity to tackle complex problems head-on and collectively pave the way for the discoveries of vital energy transition metals like lithium, copper, nickel, and cobalt.\\n\\nTogether we can shape the future of mineral exploration and contribute to building a sustainable world.\\n\\nThis role will be responsible for:\\n\\nDeep engagement with exploration geologists and data scientists, continual learning about mineral exploration, and tailoring technology development to the needs of exploration project scientists\\n\\nBuilding data pipelines and tooling for deriving advanced human and machine insights from exploration data, often leading a small group of software engineers to successful delivery\\n\\nDeveloping expertise in KoBold's Data Systems and deeply understanding how they impact exploration\\n\\nEnd-to-end ownership of projects from design to implementation and testing to continued engagement with colleagues on exploration teams using your solutions\\n\\nResponding well to design and code feedback, also providing feedback to teammates\\n\\nOperationally managing the team's services and assisting scientific colleagues with our tooling\\n\\nQualifications:\\n\\n4+ years of software engineering experience, ideally building production cloud data systems\\n\\nProficiency with Python\\n\\nAbility to write production-quality code that is correct, readable, well-tested, scalable and extensible\\n\\nSkilled in large-scale system design\\n\\nA track record of taking ownership from definition of the problem and delivering projects with demonstrated impact in an iterative manner\\n\\nIntellectual curiosity and eagerness to learn about all aspects of mineral exploration, particularly in the geology domain.\\n\\nEnjoys constantly learning such that you are driving insights through using our tools in exploration and willing to work directly with geologists in the field.\\n\\nAbility to explain technical problems to and collaborate on solutions with domain experts who are not software developers.\\n\\nA strong communicator who enjoys working with colleagues across the company.\\n\\nExcitement about joining a fast-growing early-stage company, comfort with a dynamic work environment, and eagerness to take on an evolving range of responsibilities.\\n\\nKeen not just to build cool technology, but to figure out what technical product to build to best achieve the business objectives of the company.\\n\\nNice to Haves:\\n\\nExperience with modern frontend frameworks such as React\\n\\nExperience with geospatial data and building map-based experiences\\n\\nFamiliarity with containerization and container orchestration platforms, such as Docker, AWS ECS, Kubernetes, etc.\\n\\nFormal education or job exposure to natural sciences
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\nAs a Backend Engineer, you'll focus on data extraction from various crypto platforms, data normalization, and optimizing data accessibility for portfolio management, smart contract vesting, and counterparty exposure.
\nResponsibilities:
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\nCross-Functional Collaboration:
\nDocumentation and Compliance:
\nQualifications:
\nPreferred Qualifications:
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\nPlaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use.
\nThe main goal of the DE team in 2024-25 is to build robust golden data sets to power our business goals of creating more insights-based products. Making data-driven decisions is key to Plaid's culture. To support that, we need to scale our data systems while maintaining correct and complete data.
\nData Engineers heavily leverage SQL and Python to build data workflows. We use tools like DBT, Airflow, Redshift, ElasticSearch, Atlanta, and Retool to orchestrate data pipelines and define workflows.
\nWe work with engineers, product managers, business intelligence, data analysts, and many other teams to build Plaid's data strategy and a data-first mindset.
\nOur engineering culture is IC-driven -- we favor bottom-up ideation and empowerment of our incredibly talented team.
\nWe are looking for engineers who are motivated by creating impact for our consumers and customers, growing together as a team, shipping the MVP, and leaving things better than we found them.
\nYou will be in a high-impact role that will directly enable business leaders to make faster and more informed business judgments based on the datasets you build.
\nYou will have the opportunity to carve out the ownership and scope of internal datasets and visualizations across Plaid which is a currently unowned area that we intend to take over and build SLAs on.
\nYou will have the opportunity to learn best practices and up-level your technical skills from our strong DE team and from the broader Data Platform team.
\nYou will collaborate with and have strong and cross-functional partnerships with literally all teams at Plaid from Engineering to Product to Marketing/Finance etc.
\nResponsibilities
\nQualifications
\nAdditional Information
\nOur mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable.
\nWe recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description.
\nWe are always looking for team members that will bring something unique to Plaid!
\nPlaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics.
\nWe also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws.
\nPlaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at accommodations@plaid.com
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\nThe base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.
\nAbout the Team
\nThe Finance Data team is embedded within the CFO Org and is responsible for building internal data products that scale analytics across business teams and drive efficiencies in our daily operations. This team provides technical guidance on high-impact, scalable projects across Finance, and is the subject-matter expert in financial and transactional data that supports our Finance day-to-day operations.
\nAbout the Role
\nAs an Analytics Engineer, you will be setting the foundation to scale analytics across our business functions and impart best data practices for a rapidly growing organization. We aspire to build the Finance team of the future.
\nIn addition, you will work collaboratively with key stakeholders in Finance and other business teams to understand their pain points and take the lead in proposing viable, future-proof solutions to resolve them. You will also autonomously lead your own projects that deliver business impact and help cultivate a mature data culture among Finance teams.
\nWe are looking for a seasoned engineer who has a proven track record of owning the entire data stack at high transaction volume companies, managing business critical ETL pipelines consumed by non-technical teams. As a generalist “fixer”, you may be deployed across several different Finance domains (e.g. Tax datamart, ERP migration, Procurement automation). For this role we need someone who excels in dynamic environments, adapts quickly to changing needs, and confidently navigates ambiguous or evolving requirements. If you're energized by solving technical problems without a playbook and comfortable wearing multiple hats, this role is for you! To clarify, you will not be responsible for training ML models and neither would we describe this role as ‘product analytics’.
\nThis role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.
\nIn this role, you will:
\nYou might thrive in this role if you have:
\nYou could be an especially great fit if you have:
\nAbout OpenAI
\nOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
\nWe are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
\nFor additional information, please see [OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement](https://cdn.openai.com/policies/eeo-policy-statement.pdf).
\nBackground checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer
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\nLocation
\nSan Francisco
\nEmployment Type
\nFull time
\nDepartment
\nCompensation
\nThe base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.
\nMore details about our benefits are available to candidates during the hiring process.
\nThis role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.
\nAbout the Team
\nThe User Operations team is central to ensuring that our customers' experience with our products is nothing short of exceptional. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. Given OpenAI’s already breakneck shipping cadence – and the expectation that it will only accelerate – our ability to architect scalable systems for support readiness, user‑feedback, and broader program delivery is central to our ability to build world-class products and to maintain exceptional support quality.
\nAbout the Role
\nWe are seeking a systems‑minded builder who will design, prototype, implement, and iterate on the tooling, data flows, and processes that allows the User Operations team to redefine a modern support organization. Think: automated launch checklists, content and knowledge pipelines, incident detection and evaluators, and other processes that power a User Operations team operating at an unprecedented scale. You’d be building resilient systems, not better slide decks.
\nWe’re looking for people who thrive at the intersection of project management, systems building, data science/data engineering/software engineering, team enablement, and customer advocacy – and enjoy working cross-functionally in a fast-paced, evolving environment.
\nThis role is based in San Francisco, California. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.
\nIn this role you will:
\nYou might thrive in this role if you:
\nAbout OpenAI
\nOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose technologies like artificial intelligence benefit all of humanity.
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\nLocation
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\nEmployment Type
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\nLocation Type
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\nDepartment
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\nThe base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.
\nMore details about our benefits are available to candidates during the hiring process.
\nAbout the Team
\nThe User Operations team is central to ensuring that our customers' experience with our products is nothing short of exceptional. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. Given OpenAI’s breakneck shipping cadence and growth—and the expectation that it will only accelerate—transforming our rich support data into real‑time insights and scalable, self‑serve analytics is critical to sustaining exceptional customer experiences on the path to AGI.
\nAbout the Role
\nWe’re seeking a Support Data Scientist who will dig deep into user‑support data—surfacing trends, volumes, and friction signals—and turn these findings into actionable insights and always‑on reporting. You’ll design, build, and maintain self‑serve dashboards that keep every stakeholder informed in real time, partnering closely with Data Science and Engineering to ensure clean pipelines, robust models, and scalable tooling. Think proactive friction detection and real‑time service‑health views that help us stay ahead of demand—delivering decision‑grade insights, not just prettier slide decks.
\nThis role is based in San Francisco, California. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.
\nIn this role, you will:
\nYou might thrive in this role if you:
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\nDevelop a complete front-to-back end design implementation methodology (RTL to GDSII) using Synopsys' best in class tools and technologies.
\nWork with leading edge designs and teams to drive the industry best PPA for IP designs.
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\nDirect hands-on experience with Fusion Compiler or industry equivalent Synthesis and Place & Route tools.
\nAbility to facilitate cross-functional collaboration, including fostering innovation, improving communication, and driving results.
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