field_remote_option

job_industry

field_job_occupational_field_parents_all

job_organization_name

job_upgrade_is_featured

Airtable is the no-code app platform that empowers people closest to the work to accelerate their most critical business processes. More than 500,000 organizations, including 80% of the Fortune 100, rely on Airtable to transform how work gets done.Airtable Legal strives to provide proactive, realistic, and strategic advice that drives maximum business impact and reflects Airtable’s integrity, creativity, and ambition. This Contracts Manager, Procurement position presents a unique opportunity to be a part of our talented legal team! We are looking to add a superstar to lead and build the vendor contracting function for our legal team. This role will also offer the opportunity to hone and apply skills in other legal areas, including commercial, AI, privacy, and product. <h1>What you'll do</h1> <ul> <li>Manage the legal team’s approach to vendor contracting, including:</li> <ul> <li>Reviewing and negotiating legal terms in vendor agreements for technology/SaaS, professional services, event services, consulting, and other products and services.</li> <li>Building and maintaining contracting playbooks, contract templates and clause libraries, legal process wikis, training materials, and other tools to help scale the legal function, with an emphasis on vendor contracting.</li> <li>Building and maintaining Airtable’s contracts repository.</li> <li>Developing data-driven insights regarding the company’s commercial contracting operations.</li> <li>Working closely with cross-functional partners, including Airtable’s Product and Engineering teams, to ensure that technology incorporated into Airtable’s software aligns with legal, security, subprocessor, and customer requirements. </li> </ul> <li>Collaborate with teams across Airtable for the review and approval of procurement requests, including procurement, finance, IT, security, privacy, and compliance.</li> <li>Providing support for procure-to-pay process optimization and automation projects.</li> <li>Respond to a range of questions, and provide support to cross-functional partners, regarding Airtable’s commercial contracts, negotiating positions, and related processes and strategies. </li> <li>Help enhance and participate in projects to increase the efficiency of commercial legal support.</li> </ul> <h1>Who you are</h1> <ul> <li>You have at least 5 years of in-house contracts management experience, including experience with a SaaS or other technology company.</li> <li>You are passionate about commercial contracting and have demonstrated experience reviewing, negotiating, and drafting the legal terms in a broad range of commercial contracts.</li> <li>You have experience working with AI vendors, particularly in the context of SaaS products, and understand the legal, security, and compliance considerations involved. You are familiar with AI contracting, including the distinctions between generative AI and traditional machine learning, and how these distinctions impact software agreements.</li> <li>You’re able to draft documents, policies, emails, and anything else in a precise and digestible manner.</li> <li>You’re flexible, resourceful, technologically savvy, and solution-oriented. You are excited to help a growing company define its legal identity, to build process and repeatability, and to manage and prioritize work independently. You’re both comfortable saying you don’t have the answer, and confident that you can then go find it.</li> <li>You are able to execute, prioritize, and stay focused in a fast-moving environment that is expanding and evolving.</li> <li>You have high integrity and excellent judgment, are a clear and thoughtful communicator, and are able to be both strategic and detail-oriented.</li> <li>You’re skilled at building authentic relationships with all kinds of people across many functional teams.</li> </ul> Airtable is an equal opportunity employer. We embrace diversity and strive to create a workplace where everyone has an equal opportunity to thrive. We welcome people of different backgrounds, experiences, abilities, and perspectives. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or any characteristic protected by applicable federal and state laws, regulations and ordinances. Learn more about your <a href="https://drive.google.com/file/d/1jAj2by1bto5g8Xqn9hWNAwPOMGNd_fM6/view?usp=sharing" target="_blank">EEO rights as an applicant</a>. VEVRAA-Federal Contractor If you have a medical condition, disability, or religious belief/practice which inhibits your ability to participate in any part of the application or interview process, please complete our <a href="https://airtable.com/shrq13fCV8h1sx2t8" target="_blank">Accommodations Request Form</a> and let us know how we may assist you. Airtable is committed to participating in the interactive process and providing reasonable accommodations to qualified applicants. Compensation awarded to successful candidates will vary based on their work location, relevant skills, and experience. Our total compensation package also includes the opportunity to receive benefits, restricted stock units, and may include incentive compensation. To learn more about our comprehensive benefit offerings, please check out <a href="https://airtable.com/careers/life-at-airtable" target="_blank">Life at Airtable</a>. For work locations in the San Francisco Bay Area, Seattle, New York City, and Los Angeles, the base salary range for this role is: $157,100—$193,600 USD For all other work locations (including remote), the base salary range for this role is: $141,600—$175,100 USD Please see our Privacy Notice for details regarding Airtable’s collection and use of personal information relating to the application and recruitment process by clicking <a href="https://www.airtable.com/company/personnel-privacy-notice" target="_blank">here</a>.

Airtable

Sr. Contracts Manager, Procurement and AI

Ready to be pushed beyond what you think you’re capable of? At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system. To achieve our mission, we’re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company’s hardest problems. Our <a href="https://www.coinbase.com/mission" target="_blank">work culture</a> is intense and isn’t for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there’s no better place to be. The Analytics Engineering team is part of the Data Engineering organization, whose mission is to build reliable and trusted data sources and tools that enable timely and accurate data-driven decision-making. Sitting at the intersection of data engineering, data science, and business analytics, our team transforms raw data into actionable insights through solid pipelines, scalable data models, and intuitive tools. By prioritizing data quality, reliability, and usability, we make sure stakeholders can trust and leverage data to drive real business impact. What you’ll be doing: This role combines technical expertise with business impact, whether it’s building robust data pipelines or directly solving business problems and delivering insights. As the leader of the analytics engineering team, you’re going to: <ul> <li> Build and lead the team: Hire, mentor, and grow a team of analytics engineers who will work closely with product and data science teams.</li> <li> Develop deep product expertise: Ensure your team deeply understands product data, building targeted data marts and tools that solve real business problems.</li> <li> Leverage AI and LLMs: Investigate how LLMs and AI can change analytics and build data foundations that support these future needs. Focus on creating data marts optimized for LLMs and AI-driven analytics.</li> <li> Unlock the value of our data: Partner with stakeholders to maximize the commercial impact of data by building scalable models, optimizing pipelines, and integrating cross-product data for better decision-making.</li> <li> Directly deliver business impact: Oversee the creation of dashboards, ad-hoc analytics, and self-service tools that empower product teams to make data-driven decisions.</li> <li> Prioritize outcomes over tools: Leverage the right frameworks and technologies to drive value, whether by developing abstractions, creating internal data apps, or improving scalable workflows.</li> <li> Bridge the gap between business and data: Liaise between product data science, product managers, and central data engineering. Ensure your team uses central data tools and infrastructure while remaining agile and product-focused.</li> </ul> What We Look For in You We’re looking for a hands-on leader to build and manage the Analytics Engineering team, bridging data engineering and product data science. Your team will create domain-specific data marts, tools, and analytics solutions that drive our products and business. You’ll build tailored data solutions while staying aligned with data engineering best practices. This is a chance to shape the future of analytics as we integrate LLMs and AI-driven insights. Success in this role requires a mix of leadership, technical expertise, and product mindset. Here’s what we’re looking for: <ul> <li> Resourceful problem solver: You thrive on tackling new and complex challenges, even those outside of your expertise. Whether it’s learning a new programming language, diving into an unfamiliar dataset, or seeking insights from domain experts, you do whatever it takes to find the best solution. Difficult or ambiguous problems don’t frustrate you; they motivate you.</li> <li> AI-forward: You’re excited about the role of LLMs and AI in analytics, leveraging them to boost productivity while applying prompt engineering and design to improve response accuracy and relevance. You bring forward-thinking ideas on how to prepare for an AI-driven future.</li> <li> Experienced in building and leading teams: You have experience hiring and managing data teams, and know how to inspire and grow talent.</li> <li> Hands-on tech lead: You’re comfortable balancing hands-on work with strategic leadership.</li> <li> Data modeling and tools: You’re an expert in data modeling, ETL/ELT, and modern data stack tools (e.g., Airflow, DBT, Snowflake, Hex).</li> <li> Engineering best practices: You’re comfortable with version control (GitHub), CI/CD, modern development workflows, OOP, building scalable frameworks, and advanced SQL for data transformation, querying, and optimization.</li> <li> Creative and detail-oriented: You bring out-of-the-box thinking, meticulous attention to detail, and a sense of urgency to every project.</li> <li> Autonomous and accountable: You operate with a high degree of independence while taking full ownership of outcomes.</li> <li> Product and business sense: You’ve collaborated with product and data science teams to deliver analytics solutions, you can quickly understand product goals, prioritize tasks, and address business challenges through analytics engineering.</li> <li> Clear and influential communicator: You communicate clearly and know how to get buy-in for your team’s work, build relationships across teams, and break down silos.</li> <li> Strong statistical foundation: You have a strong understanding of statistics and probability, enabling you to interpret data effectively, validate assumptions, and support data-driven decision-making.</li> </ul> Pay Transparency Notice: Depending on your work location, the target annual salary for this position can range as detailed below. Full time offers from Coinbase also include target bonus + target equity + benefits (including medical, dental, vision and 401(k)). Pay Range: $207,485—$244,100 USD Please be advised that each candidate may submit a maximum of four applications within any 30-day period. We encourage you to carefully evaluate how your skills and interests align with Coinbase's roles before applying. <h3>Commitment to Equal Opportunity</h3> Coinbase is committed to diversity in its workforce and is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view the Know Your Rights notice <a href="https://www.eeoc.gov/sites/default/files/2022-10/22-088_EEOC_KnowYourRights_10_20.pdf" target="_blank">here</a>. Additionally, Coinbase participates in the <a href="https://static-assets.coinbase.com/e-verify.pdf" target="_blank">E-Verify program</a> in certain locations, as required by law. Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please contact us at accommodations[at]coinbase.com to let us know the nature of your request and your contact information. For quick access to screen reading technology compatible with this site <a href="https://chrome.google.com/webstore/detail/chromevox/kgejglhpjiefppelpmljglcjbhoiplfn" target="_blank">click here to download</a> a free compatible screen reader <a href="http://www.chromevox.com/tutorial/" target="_blank">(free step by step tutorial can be found here)</a>. <h3>Global Data Privacy Notice for Job Candidates and Applicants</h3> Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available <a href="https://www.coinbase.com/legal/applicant_privacy_notice" target="_blank">here</a>. By submitting your application, you are agreeing to our use and processing of your data as required. For US applicants only, by submitting your application you are agreeing to arbitration of disputes as outlined <a href="https://www.coinbase.com/legal/application-arbitration-agreement" target="_blank">here.</a>

Coinbase

Analytics Engineering Manager

River Spirit Casino

AI Data Analyst - 1032

Tech Partners

Data Engineer

<h2 id="who-we-are">Who we are</h2> <h3 id="about-stripe">About Stripe</h3> 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. <h3 id="about-the-team">About the team</h3> The Payment Intelligence organization optimizes each of the billions of dollars of transactions processed by Stripe annually on behalf of our users, maximizing successful transactions while minimizing payment costs and fraud. We own products like Radar end-to-end, developing machine learning models, building fast and scalable services and creating intuitive user experiences. We serve real-time predictions as part of Stripe’s payment infrastructure and architect controls that leverage ML to optimally manage users’ business. <h2 id="what-youll-do">What you’ll do</h2> We are looking for an engineering manager to lead and grow a strong team of machine learning engineers that design, build, deploy, and operate ML-powered services that scale globally with Stripe. You will partner with many functions, especially data science (DS), as you lead Stripe's most critical payment decisioning infrastructure. <h3 id="responsibilities">Responsibilities</h3> <ul> <li>Set the vision, goals, &amp; strategy for the team based on company objectives </li> <li>Lead by example in high-growth, high-impact, ambiguous environments </li> <li>Build machine learning systems and pipelines for training, shipping, and operating machine learning models </li> <li>Improve existing machine learning models via developing new ML features, which has been the primary path for improving performance </li> <li>Collaborate and execute projects cross-functionally with the data science, product, infrastructure, and risk teams </li> <li>Ensure engineering outcomes meet or exceed established standards of excellence in code quality, system design, and scalability </li> <li>Recruit, hire, scale, and develop an amazing team of engineers </li> <li>Accelerate the delivery of models to production by leading continuous engineering improvements and investments in our MLOps infrastructure </li> <li>Propose and implement innovative product ideas to reduce costs and combat fraud at Stripe </li> </ul> <h2 id="who-you-are">Who you are</h2> 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. <h3 id="minimum-requirements">Minimum requirements</h3> <ul> <li>3+ years of direct engineering management experience </li> <li>2+ year of experience working within a team responsible for developing, managing, and improving ML models or ML infrastructure </li> </ul> <h3 id="preferred-qualifications">Preferred qualifications</h3> <ul> <li>Proven track record of building and deploying machine learning models or systems that have effectively solved critical business problems </li> <li>Experience managing teams that leverage real-time, distributed data processing </li> <li>Experience managing teams that leverage batch processing pipelines </li> <li>Experience building sustainable operations for managing many ML models, including CI/CD, auto-training, auto-deployment, and continuous model refreshes </li> <li>Experience managing teams that owned many diverse ML models </li> <li>Experience in adversarial domains like Fraud, Trust, or Safety </li> <li>Past experience operating under team goal-setting frameworks such as OKRs </li> </ul> This role is available either in an office or a remote location (typically, 35+ miles or 56+ km from a Stripe office). Office-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for individuals and their teams. A remote location, in most cases, is defined as being 35 miles (56 kilometers) or more from one of our offices. While you would be welcome to come into the office for team/business meetings, on-sites, meet-ups, and events, our expectation is you would regularly work from home rather than a Stripe office. Stripe does not cover the cost of relocating to a remote location. We encourage you to apply for roles that match the location where you currently or plan to live. The annual US base salary range for this role is $224,300 - $336,500. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location. Applicants interested in this role and who are not located in the US may request the annual salary range for their location during the interview process. 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. Office locations Seattle, New York, or South San Francisco HQ Remote locations Remote in United States Team New Financial Products Job type Full time <a href="#">Apply for this role </a>

Stripe

ML Engineering Manager, Payment Intelligence

Ready to be pushed beyond what you think you’re capable of? At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system. To achieve our mission, we’re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company’s hardest problems. Our <a href="https://www.coinbase.com/mission" target="_blank">work culture</a> is intense and isn’t for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there’s no better place to be. Data is a critical component of Coinbase's strategy to optimize financial operations and enhance decision-making. In this role, you will collaborate closely with Finance, Product, and Engineering teams to support cash flow processes, including payments, cash reconciliations against bank statements, and safeguarding of assets. You will gather financial data from diverse sources, including platform data, external financial institutions, market data, and internal financial systems. By transforming raw data into meaningful insights, you will develop advanced data models and pipelines that drive analytics for understanding cash flows What you’ll be doing (ie. job duties): <ul> <li>Work with Product and Engineering to drive new initiatives, supporting new product launches fueling business growth</li> <li>Help define data model, contract, scaling the build of data quality check and contract enforcement</li> <li>Collaborate with stakeholders across Accounting, Treasury and other Finance functions, to extract financial data and insights, and provide data driven recommendations to enhance efficiencies for financial processes</li> <li>Act as a strategic partner to functional teams; design and scope project plans; execute, test and implement data and reporting solutions</li> <li>Initiate, develop and maintain data pipelines and data models that power dashboards and data products with outstanding craftsmanship</li> <li>Work with the broader Data and Engineering teams to find ways to scale our platform through better systems and automation</li> <li>Develop interactive dashboards and visualizations to present financial insights to stakeholders</li> <li>Partner with peers and stakeholders to define and execute roadmaps that can help the function scale</li> </ul> What we look for in you (ie. job requirements): <ul> <li>5+ years of relevant experience</li> <li>Self starter, has the ability to multitask, and highly collaborative in working with cross functional teams</li> <li>Strong experience with data processing (ETL), fluency in complex SQL and basic programming language high proficiency with scripting language(preferably Python)</li> <li>Strong experience building data pipelines</li> <li>knowledge of data modeling, architecture, best practices</li> <li>Experience using Apache Airflow or similar orchestration systems</li> <li>Strong understanding of key finance principles, products within Accounting and Treasury domain, and eagerness to learn </li> <li>Be able to independently create documentation for new data projects and requests, and build collaboration within the team.</li> <li>Demonstrate our core cultural values: clear communication, positive energy, continuous learning, act like an owner and efficient execution.</li> <li>Bachelor’s Degree in Engineering, Computer Science or equivalent practical experience</li> </ul> Nice to haves: <ul> <li>Previous experience working with financial services data is a plus</li> <li>Previous working experience or knowledge of crypto is a plus</li> <li>Domain experience in Payments, Accounting and Finance areas</li> <li>Experience with Looker, Tableau or other business intelligence platforms</li> <li>Be able to proactively manage prioritization of work</li> <li>Experience manipulating large amounts of structured and unstructured data</li> </ul> Job ID: P61655 Pay Transparency Notice: Depending on your work location, the target annual salary for this position can range as detailed below. Full time offers from Coinbase also include target bonus + target equity + benefits (including medical, dental, vision and 401(k)). Pay Range: $180,370—$212,200 USD Please be advised that each candidate may submit a maximum of four applications within any 30-day period. We encourage you to carefully evaluate how your skills and interests align with Coinbase's roles before applying. <h3>Commitment to Equal Opportunity</h3> Coinbase is committed to diversity in its workforce and is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view the Know Your Rights notice <a href="https://www.eeoc.gov/sites/default/files/2022-10/22-088_EEOC_KnowYourRights_10_20.pdf" target="_blank">here</a>. Additionally, Coinbase participates in the <a href="https://static-assets.coinbase.com/e-verify.pdf" target="_blank">E-Verify program</a> in certain locations, as required by law. Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please contact us at accommodations[at]coinbase.com to let us know the nature of your request and your contact information. For quick access to screen reading technology compatible with this site <a href="https://chrome.google.com/webstore/detail/chromevox/kgejglhpjiefppelpmljglcjbhoiplfn" target="_blank">click here to download</a> a free compatible screen reader <a href="http://www.chromevox.com/tutorial/" target="_blank">(free step by step tutorial can be found here)</a>. <h3>Global Data Privacy Notice for Job Candidates and Applicants</h3> Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available <a href="https://www.coinbase.com/legal/applicant_privacy_notice" target="_blank">here</a>. By submitting your application, you are agreeing to our use and processing of your data as required. For US applicants only, by submitting your application you are agreeing to arbitration of disputes as outlined <a href="https://www.coinbase.com/legal/application-arbitration-agreement" target="_blank">here.</a>

Senior Data Scientist

At Webflow, our mission is to bring development superpowers to everyone. Webflow is a Website Experience Platform (WXP) that empowers modern marketing teams to visually build, manage, and optimize stunning websites. With AI-driven personalization baked in, Webflow enables teams to significantly boost conversion rates, translating directly into measurable business growth. From independent designers and creative agencies to Fortune 500 companies, millions worldwide use Webflow to be more nimble, creative, and collaborative. We are looking for a Staff Product Manager, Applied AI to lead our efforts in custom code generation and AI-powered developer experiences. In this role, you’ll define and drive the strategy for integrating AI-driven code generation into Webflow, enabling both traditional developers and visual developers to seamlessly extend and enhance their projects with custom code. You’ll work closely with our engineering and design teams to craft intuitive, powerful developer tools that bridge no-code and pro-code workflows. If you’re passionate about shaping the future of AI-assisted development and empowering Webflow’s community, we’d love to hear from you! This role is an opportunity to define and shape the long-term strategy for this area, working across teams to explore, validate, and scale solutions that expands our customers’ capabilities on Webflow. The ideal candidate will have a strong track record of launching AI-products and developer tools, operating at both strategic and tactical levels, and driving alignment across cross-functional teams. This person should be equally comfortable defining long-term vision and getting into the details of execution. Strong business acumen, data-driven decision-making, and exceptional communication skills are essential, along with a passion for crafting best-in-class user experiences. <h1>About the role:</h1> <ul> <li>Location: Remote-first (United States)</li> <li>Full-time</li> <li>Permanent</li> <li>Exempt</li> <li>The cash compensation for this role is tailored to align with the cost of labor in different geographic markets. We've structured the base pay ranges for this role into zones for our geographic markets, and the specific base pay within the range will be determined by the candidate’s geographic location, job-related experience, knowledge, qualifications, and skills.</li> </ul> <ul> <li> <ul> <li>United States (all figures cited below are in USD and pertain to workers in the United States) <ul> <li>Zone A: $175,000 - $247,000</li> <li>Zone B: $164,000 - $232,000</li> <li>Zone C: $154,000 - $231,000</li> </ul> </li> <li>Canada (figures cited below are in CAD and pertain to workers in ON &amp; BC, Canada) <ul> <li>CAD 212,000 - CAD 299,000</li> </ul> </li> </ul> </li> <li>This role is also eligible to participate in Webflow's company-wide bonus program. Target amounts are a percentage of base salary and vary by career level. Payouts are based on company performance against established financial and operational goals.</li> </ul> Please visit our <a href="https://webflow.com/careers#pay-zones" target="_blank">Careers page</a> for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter. <ul> <li>Reporting to the Senior Director of Product for Webflow’s Core Product pillar, Design &amp; Build</li> </ul> As a Staff Product Manager, AI Code Gen you’ll … <ul> <li>Define and build AI-powered code generation capabilities for customers using Webflow.</li> <li>Work closely with design and engineering to craft a high-quality, intuitive user experience that delights customers.</li> <li>Analyze market trends, customer needs, and competitive landscape to inform product direction and prioritization.</li> <li>Partner with go-to-market teams (Sales, Marketing, Customer Success) to define positioning, messaging, and adoption strategies.</li> <li>Develop and track key product metrics, ensuring data-driven decisions that drive business impact.</li> <li>Advocate for the customer, ensuring that product decisions create real value for users.</li> <li>Communicate effectively across all levels of the company, including executives, to drive clarity and alignment.</li> <li>Stay informed on AI trends, particularly in applied AI and generative AI for code.</li> </ul> In addition to the responsibilities outlined above, at Webflow we will support you in identifying where your interests and development opportunities lie and we'll help you incorporate them into your role. <h1>About you:</h1> You’ll thrive as a Staff Product Manager if you: <ul> <li>Have experience owning and driving product strategy on products with strong user experiences, particularly in AI-powered developer tools.</li> <li>Have strong business acumen and can balance customer needs with business impact.</li> <li>Are an exceptional communicator—you simplify complex ideas and align stakeholders across teams.</li> <li>Operate effectively at both strategic and tactical levels, switching between big-picture vision and execution details.</li> <li>Have excellent cross-functional leadership skills, rallying teams around a shared goal.</li> <li>Are highly analytical, using data and user insights to drive product decisions.</li> <li>Excel in ambiguous environments where the path forward isn’t always clear.</li> <li>Have strong executive presence, confidently leading discussions and influencing senior stakeholders.</li> </ul> Nice-to-haves: <ul> <li>Previous experience as a software engineer</li> <li>Have experience with Webflow and other web design, development or creative tools, or content workflows</li> </ul> <h3>Our Core Behaviors:</h3> <ul> <li> Obsess over customer experience. We deeply understand what we’re building and who we’re building for and serving. We define the leading edge of what’s possible in our industry and deliver the future for our customers</li> <li> Move with heartfelt urgency. We have a healthy relationship with impatience, channeling it thoughtfully to show up better and faster for our customers and for each other. Time is the most limited thing we have, and we make the most of every moment</li> <li> Say the hard thing with care. Our best work often comes from intelligent debate, critique, and even difficult conversations. We speak our minds and don’t sugarcoat things — and we do so with respect, maturity, and care</li> <li> Make your mark. We seek out new and unique ways to create meaningful impact, and we champion the same from our colleagues. We work as a team to get the job done, and we go out of our way to celebrate and reward those going above and beyond for our customers and our teammates</li> </ul> <h3>Benefits &amp; wellness</h3> <ul> <li>Equity ownership (RSUs) in a growing, privately-owned company</li> <li>100% employer-paid healthcare, vision, and dental insurance coverage for full-time employees (working 30+ hours per week) and their dependents. Full-time employees may also be eligible for voluntary insurance options where applicable in the respective country of employment</li> <li>12 weeks of paid parental leave for both birthing and non-birthing caregivers, as well as an additional 6-8 weeks of pregnancy disability leave for birthing parents to be used before child bonding leave (note: where local requirements are more generous, employees receive the greater benefit); full-time employees also have access to family planning care and reimbursement</li> <li>Flexible PTO for all locations and sabbatical program</li> <li>Access to mental wellness and professional coaching, therapy, and Employee Assistance Program</li> <li>Monthly stipends to support work and wellness</li> <li>401k plan or pension schemes (in countries where statutorily required), and other financial wellness benefits, like CPA and financial advisor coverage</li> </ul> Temporary employees may be eligible for paid holiday and time off, statutory leaves of absence, and company-sponsored medical benefits depending on their Fixed Term Contract and their country/state of employment. <h3>Remote, together</h3> At Webflow, equality is a core tenet of our culture. We are an Equal Opportunity (EEO)/Veterans/Disabled Employer and are <a href="https://webflow.com/diversity-equity-inclusion" target="_blank">committed</a> to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law. Pursuant to the San Francisco Fair Chance Ordinance, Webflow will consider for employment qualified applicants with arrest and conviction records. <h3>Stay connected</h3> Not ready to apply, but want to be part of the Webflow community? Consider following our story on our <a href="https://webflow.com/blog" target="_blank">Webflow Blog</a>, <a href="https://www.linkedin.com/company/webflow-inc-/" target="_blank">LinkedIn</a>, <a href="https://twitter.com/webflow" target="_blank">X (Twitter)</a>, and/or <a href="https://www.glassdoor.com/Reviews/Webflow-Reviews-E890506.htm" target="_blank">Glassdoor</a>. <h3>Please note:</h3> We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Upon interview scheduling, instructions for confidential accommodation requests will be administered. To join Webflow, you'll need a valid right to work authorization depending on the country of employment. If you are extended an offer, that offer may be contingent upon your successful completion of a background check, which will be conducted in accordance with applicable laws. We may obtain one or more background screening reports about you, solely for employment purposes. For information about how Webflow processes your personal information, please review <a href="https://webflow.com/legal/applicant-privacy-notice" target="_blank">Webflow’s Applicant Privacy Notice</a>.

Webflow

Staff Product Manager, AI

Distinguished Data Engineer - Capital One Software (Remote) Ever since our first credit card customer in 1994, Capital One has recognized that technology and data can enable even large companies to be innovative and personalized. As one of the first large enterprises to go all-in on the public cloud, Capital One needed to build cloud and data management tools that didn’t exist in the marketplace to enable us to operate at scale in the cloud. And in 2022, we publicly announced Capital One Software and brought our first B2B software solution, Slingshot, to market. Building on Capital One’s pioneering adoption of modern cloud and data capabilities, Capital One Software is helping accelerate the data management journey at scale for businesses operating in the cloud. If you think of the kind of challenges that companies face – things like data publishing, data consumption, data governance, and infrastructure management – we’ve built tools to address these various needs along the way. Capital One Software will continue to explore where we can bring our solutions to market to help other businesses address these same needs going forward. We are seeking top tier talent to join our pioneering team and propel us towards our destination. You will be joining a team of innovative product, tech, and design leaders that tirelessly seek to question the status quo. As a Capital One Distinguished Data Engineer, you’ll have the opportunity to be on the forefront of building this business and bring these tools to market. Responsibilities: <ul> <li>Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in</li> <li>Collaborate on Capital One’s toughest issues, to deliver on business needs that directly impact the lives of our customers and associates</li> <li>Strike the right balance between lending expertise and providing an inclusive environment where others’ ideas can be heard and championed; leverage expertise to grow skills in the broader Capital One team</li> <li>Promote a culture of engineering excellence, using opportunities to reuse and innersource solutions where possible</li> <li>Effectively communicate with and influence key stakeholders across the enterprise, at all levels of the organization</li> <li>Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in an unified manner</li> <li>Lead the way in creating next-generation talent for Tech, mentoring internal talent and actively recruiting external talent to bolster Capital One’s Tech talent</li> </ul> Basic Qualifications: <ul> <li>Bachelor’s Degree</li> <li>At least 7 years of experience in data engineering</li> <li>At least 5 years of experience in data architecture</li> </ul> Preferred Qualifications: <ul> <li>Masters’ Degree</li> <li>7+ years of experience using Python, Java, Go, and SQL</li> <li>3+ years of experience with Kafka, Airflow, Spark, AWS Glue/Kinesis</li> <li>3+ years of experience with Databricks or Snowflake</li> <li>1+ year of experience deploying machine learning models</li> </ul> At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, or another type of work authorization).The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.Remote (Regardless of Location): $239,900 - $273,800 for Distinguished Data Engineer Richmond, VA: $239,900 - $273,800 for Distinguished Data Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the <a href="https://www.capitalonecareers.com/benefits" target="_blank">Capital One Careers website</a>. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at <a href="#">RecruitingAccommodation@capitalone.com</a>. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.For technical support or questions about Capital One's recruiting process, please send an email to <a href="#">Careers@capitalone.com</a>Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Capital One

Distinguished Data Engineer - Capital One Software (Remote)

Ready to be pushed beyond what you think you’re capable of? At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system. To achieve our mission, we’re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company’s hardest problems. Our <a href="https://www.coinbase.com/mission" target="_blank">work culture</a> is intense and isn’t for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there’s no better place to be. Team: The Coinbase Customer Experience (CX) organization plays an imperative role in achieving our mission. Our team is dedicated to eliminating customer defects, driving efficiency through automation, and optimizing support operations. We are seeking an experienced Data Analyst to lead insights into our quality assurance and knowledge management functions. As a Data Analyst on our team, you will own and drive projects that create meaningful business impact. You’ll have the opportunity to transform data into measurable actions that improve customer experiences and help shape our long-term strategy to deliver maximum impact to our customers. What you’ll be doing: <ul> <li>Improve customer experiences by developing bar raising metrics, self-service tools, and deep analyses that drive actionable insights</li> <li>Collaborate with stakeholders to manage a long-term analytic roadmap that balances the tactical and strategic needs of the business</li> <li>Proactively identify opportunity areas for improvement including deep dive investigations and processes to better serve our customers</li> <li>Drive the vision, building, and adoption of self-service analytic capabilities; develop these capabilities at scale</li> <li>Understand data resources and know when, how, and which best to use for each project</li> <li>Ability to frame and break down complex business problems into key components and recommend practical solutions</li> <li>Monitor key performance metrics and use data to identify actionable opportunities to increase efficiency and make high-quality decisions that drive performance improvements</li> <li>Build a collaborative team environment that fosters efficient execution, innovation, and continuous improvement</li> <li>Develop and support the analytical technologies that give our team timely, flexible, and structured access to their data</li> <li>Guide code reviews, provide SQL and Python expertise, and create well-maintained ETL jobs</li> <li>Maintain a high bar for statistical rigor on your team; ensure that we’re conducting experimentation and causal analyses that build confidence with your stakeholders</li> </ul> What we look for in you: <ul> <li>4+ years of relevant data analytics experience in an operational environment, with a strong focus on quality measures</li> <li>Experience transforming unstructured data into actionable insights, outlier based agent performance management, and web analytics </li> <li>Professional experience using advanced SQL and data modeling skills to process large, complex datasets</li> <li>Proficient using at least one data visualization product (Looker, Tableau, QuickSight, etc.)</li> <li>Excellent written and verbal communication skills, including experience meeting with and communicating information to senior leadership</li> <li>Highly collaborative, with an ability to optimally secure inputs from many cross-functional partner teams</li> <li>Ability to think strategically, formulate appropriate analytical solutions, and execute in order to solve business needs</li> </ul> Nice to haves: <ul> <li>Report automation experience (e.g. using Python, R)</li> <li>Knowledge of AWS services and cloud computing</li> <li>Experience with descriptive and inferential statistics</li> <li>Experience with financial industry regulations</li> <li>Experience with QMS and L&amp;D-centric metrics</li> </ul> JOB ID: P62711 Pay Transparency Notice: Depending on your work location, the target annual salary for this position can range as detailed below. Full time offers from Coinbase also include target bonus + target equity + benefits (including medical, dental, vision and 401(k)). Pay Range: $131,325—$154,500 USD <h3>Commitment to Equal Opportunity</h3> Coinbase is committed to diversity in its workforce and is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view the Know Your Rights notice <a href="https://www.eeoc.gov/sites/default/files/2022-10/22-088_EEOC_KnowYourRights_10_20.pdf" target="_blank">here</a>. Additionally, Coinbase participates in the <a href="https://static-assets.coinbase.com/e-verify.pdf" target="_blank">E-Verify program</a> in certain locations, as required by law. Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please contact us at accommodations[at]coinbase.com to let us know the nature of your request and your contact information. For quick access to screen reading technology compatible with this site <a href="https://chrome.google.com/webstore/detail/chromevox/kgejglhpjiefppelpmljglcjbhoiplfn" target="_blank">click here to download</a> a free compatible screen reader <a href="http://www.chromevox.com/tutorial/" target="_blank">(free step by step tutorial can be found here)</a>. <h3>Global Data Privacy Notice for Job Candidates and Applicants</h3> Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available <a href="https://www.coinbase.com/legal/applicant_privacy_notice" target="_blank">here</a>. By submitting your application, you are agreeing to our use and processing of your data as required. For US applicants only, by submitting your application you are agreeing to arbitration of disputes as outlined <a href="https://www.coinbase.com/legal/application-arbitration-agreement" target="_blank">here.</a>

Senior CX Analytics Engineer

Ready to be a Titan?Join ServiceTitan's Engineering leadership team and play a pivotal role in shaping the future of our data and AI capabilities. We're seeking a visionary Senior Director of Engineering to drive innovation across our Data Platform and Machine Learning Platform, with a focus on building a real-time data lake and pioneering Agentic AI solutions.In this role, you'll lead a talented team of engineers and architects, fostering a culture of excellence and driving the development of cutting-edge platforms that empower our business and customers. We thrive on solving complex problems, embracing modern technologies, and delivering high-quality, scalable solutions.What you'll do: Strategic Leadership:<ul> <li>Provide strategic vision and technical leadership for both the Data Platform (real-time data lake) and ML Platform (Agentic AI development).</li> <li>Collaborate with senior engineering, product, and business leaders to align platform development with business objectives.</li> <li>Drive the adoption of best practices in data engineering, machine learning, and software development.</li> </ul>Data Platform Innovation:<ul> <li>Lead the development and evolution of our next-generation, real-time data lake, enabling seamless data ingestion, processing, and analysis.</li> <li>Architect and implement scalable data pipelines, optimizing for latency, cost, and throughput.</li> <li>Define and enforce data management practices, including data modeling, ETL, and data warehousing principles.</li> <li>Implement data streaming solutions that enable real time analysis of data.</li> </ul>ML Platform &amp; Agentic AI:<ul> <li>Spearhead the development of our ML Platform, with a focus on leveraging Agentic AI to create innovative solutions.</li> <li>Drive the research, evaluation, and implementation of cutting-edge AI/ML techniques and tools.</li> <li>Lead the teams that develop the infrastructure and tools needed to support Agentic AI model development and deployment.</li> </ul>Team Leadership &amp; Growth:<ul> <li>Lead, mentor, and grow a diverse, multi-location team of data engineers, ML engineers, and architects.</li> <li>Foster a culture of collaboration, innovation, and continuous improvement.</li> <li>Partner with the CTO to manage career paths and talent development.</li> <li>Cross-Functional Collaboration:</li> <li>Collaborate with product managers, data scientists, and business stakeholders to deliver high-impact solutions.</li> <li>Represent ServiceTitan in the technology community and build strong relationships with customers.</li> <li>Partner with peer engineering executives to ensure a cohesive engineering organization.</li> </ul>Operational Excellence:<ul> <li>Drive project execution throughout the entire software development lifecycle, mitigating risks and ensuring timely delivery.</li> <li>Implement and maintain robust monitoring, alerting, and debugging systems.</li> </ul>What you'll need: <ul> <li>~15 years of software engineering experience, with at least 7 years in a leadership role.</li> <li>Proven experience building and scaling high-performance data platforms and machine learning systems.</li> <li>Deep expertise in data streaming technologies (e.g., Kafka, Azure Event/IoT Hub, Kinesis).</li> <li>Extensive experience with data pipeline tools (e.g., Azure Data Factory, Flink, Spark, Pinot, Clickhouse).</li> <li>Strong understanding of cloud-based data storage and databases (e.g., Azure Data Lake, Snowflake, Synapse).</li> <li>Experience with infrastructure automation (Docker, Kubernetes).</li> <li>Experience with modern ML platforms and Agentic AI toolchains.</li> <li>Proficiency in data workflow management (e.g., Airflow, dbt).</li> <li>Strong understanding of distributed systems and RESTful APIs.</li> <li>Excellent communication and technical writing skills.</li> <li>Experience with Microsoft technology stack and related development tools.</li> <li>Demonstrated ability to adapt to new technologies and learn quickly.</li> <li>B.S., M.S., or Ph.D. in Computer Science, Engineering, or a related field.</li> </ul>Be Human With Us:Being human isn’t about checking every box on a list. It’s about the experiences we have, people we meet, and the perspectives we share. So, if you have the skills but are hesitant to apply because of your background, apply anyway. We need amazing people like you to help us challenge the conventional and think differently about the problems that we’re solving. We’re in this together. Come be human, with us. What We Offer:When you join our team, you’re not just accepting a job. You’re making a career move. Here’s how we’ll support you in doing some of the most impactful work of your career:<ul> <li>Flextime, recognition, and support for autonomous work: Flexible time off with ample learning and development opportunities to continue growing your career. We offer a comprehensive onboarding program, leadership training for Titans at all levels, and other programs and events. Great work is rewarded through Bonusly, peer-nominated awards, and more. </li> <li>Holistic health and wellness benefits: Company-paid medical, dental, and vision (with 100% employer paid options and 90% coverage for dependents), FSA and HSA, 401k match, and telehealth options including memberships to Headspace, Galileo, One Medical, Ginger and more. </li> <li>Support for Titans at all stages of life: Parental leave and support, up to $20k in adoption reimbursement, on demand maternity support through Maven Maternity, free breast milk shipping through Maven Milk, pet insurance, legal advisory services, financial planning tools, and more.</li> </ul>At ServiceTitan, we celebrate individuality and uniqueness. We believe that the convergence of fresh perspectives and experiences from all walks of life is what makes our product and culture so great. We strongly encourage people from underrepresented groups to apply. We do not discriminate against employees based on race, color, religion, sex, national origin, gender identity or expression, age, disability, pregnancy (including childbirth, breastfeeding, or related medical condition), genetic information, protected military or veteran status, sexual orientation, or any other characteristic protected by applicable federal, state or local laws.ServiceTitan is committed to fair and equitable compensation for all of our employees. We thoughtfully consider a wide range of factors when determining individual compensation. The expected salary range for this role for candidates residing in the United States is between $269,000 USD - $359,800 USD. Compensation for candidates residing outside the United States will vary by location and the specific salary range will be discussed during the hiring process. Actual compensation for an individual may vary depending on skills, performance over time, qualifications, experience, and location. In addition to the base salary, the total compensation package also includes an annual bonus, equity and a holistic suite of benefits.

133 Data Science Jobs