Find Your Dream Career

Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma's platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! The Strategic Finance team is focused on solving some of Figma's most pressing business issues. The team is responsible for owning the company's budget, driving annual and quarterly planning processes, allocating and deploying the company's resources efficiently, performing financial analyses, and partnering with teams across the company. The role requires someone who is highly analytical and strategic, a great communicator, approaches problems in a structured manner, and is comfortable with ambiguity. You'll get substantial visibility, focus on the highest-priority business issues, and be plugged into every facet of the business. This is a full time role that can be held from one of our US hubs (SF / NY) or remotely in the United States. What you'll do at Figma: Lead all ARR (Annual Recurring Revenue) planning and forecasting for Figma's Self-Serve business, including annual plans, quarterly forecasts, monthly reporting, and weekly performance reviews Partner cross-functionally with Product and Data Science to identify key growth drivers, surface insights, and influence strategic decisions across the self-serve funnel Design and implement process improvements that enhance forecast accuracy and improve visibility into customer behavior, monetization, and conversion trends Manage and mentor a high-performing team—providing strategic direction, career development support, and hands-on collaboration to drive team impact Develop and present actionable insights and recommendations to senior leadership, including the CFO, CEO, and CMO Own and evolve the financial narrative for Figma's self-serve motion in executive and board-level materials Bring a builder's mindset to scaling the Self-Serve Finance function—identifying tools, metrics, and systems that enable better decision-making at scale We'd love to hear from you if you have: 8+ years of experience in investment banking, private equity, strategic finance, business operations, or a related analytical field, including 2+ years leading and developing high-performing teams Proficiency in SQL and a history of partnering with Data Science teams to solve complex analytical problems Deep experience in financial planning, forecasting, and driving insights through data-driven analysis A structured, strategic thinker who can break down ambiguous problems and develop clear, actionable solutions A track record of building new processes or scaling existing ones to improve efficiency and decision-making While it's not required, it's an added plus if you also have: Experience at a high growth B2B SaaS company, with bonus points for self-serve models At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you're excited about this role but your past experience doesn't align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location.  Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $185,000 — $317,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities.  Examples of accommodations include but are not limited to:  Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews  To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: The CRM Engineering team builds world-class tools that drive growth and foster meaningful  relationships between Airbnb and its community, including Hosts, Guests, Law Enforcement, Government Regulators, Local Community Leaders, and more. This team tackles some of the most challenging and unique problems faced by our business. Here are a few examples: Growth Platform: Designed to increase supply and retain existing hosts. Policy Platform: Enables Airbnb to engage with regulatory bodies across the globe regarding short-term rental regulations. This platform tracks regulations that impact the Airbnb business and provides intelligence to address unique business challenges. Community Platform: Establishes a social platform to drive community enablement, collaboration, and success. Agent Tools: Empowers agents to understand and resolve issues that customers are unable to address on their own. Aircover Claims Platform: Facilitates the processing of claims for Aircover insurance products, offering protection to both hosts and guests.   The Difference You Will Make: Our team is building an AI driven growth platform to serve as a true growth engine for Airbnb's supply expansion. This platform will leverage AI-driven intelligence to provide sales insights, meet diverse supply needs, help current hosts achieve greater success on the Airbnb platform, and build lead funnels to attract more high-quality hosts to Airbnb. There is immense potential for AI-driven initiatives to revolutionize the supply funnel at Airbnb. This role presents an exciting opportunity to create a unique and impactful platform that addresses complex business challenges. In this position, you will closely collaborate with and influence stakeholders across technical, business, product, and design teams to identify, scope, and deliver critical initiatives. As you lead efforts across these stakeholders and work with a distributed team of engineers, you will also actively contribute to prototyping, evaluating, and implementing solutions. This is your chance to make a lasting impact on Airbnb's growth trajectory and technology landscape!   A Typical Day:  Design the future state of our technical systems by combining a strategic understanding of our highest level product goals with a deep understanding of our existing systems to inform the right technical and product tradeoffs for both short and long term Lead engineers—both inside and outside your immediate team; in building out these technical solutions Participate in the development of product and UX requirements by engaging early and often with designers, product managers and other stakeholders to help steer teams on the most efficient path towards overall goals Nurture a culture of technical quality from design, through code review, to production operations Mentor other engineers in developing their technical and collaboration skills Identify and propose solutions to problems coming in the way of technical and product engineering excellence Collaborate with internal teams across the tech community, Hosting, Guest and Mobile and data engineering.  Your Expertise: 10+ years of relevant software development industry experience in a fast-paced tech environment Strong proficiency in at least one major backend programming language (e.g., Java, Kotlin, Scala, Python) and experience with modern frontend frameworks (e.g., React, Angular, Vue.js) Proven track record of delivering end-to-end products in a collaborative environment, from ideation and planning to implementation and launch Experience with architectural patterns of large-scale web applications, including well-designed APIs, high-volume data pipelines, and efficient algorithms Demonstrated ability to make data-driven decisions, articulate technical trade-offs, and communicate effectively with cross-functional partners Passion for creating intuitive user experiences and a keen interest in data systems and analytics Good judgment in making tradeoffs to balance short-term business needs with long-term technical quality Strong understanding of how deep backend systems are expressed in the UX shown to customers End-to-end mentality that transcends team boundaries and helps find globally optimal solutions Excellent communication skills and the ability to work well within a team and with teams across the engineering organization Passionate about efficiency, availability, system quality and user experience Passionate about building AI-driven applications that deliver innovative and impactful solutions   Reasonable Accommodations: We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role. A Note on Recruiting Scams: Scammers sometimes pose as Airbnb recruiters to get money or personal information from candidates. A few things that will always be true for Airbnb's hiring process: our open roles are posted on Airbnb's Career's Page at careers.airbnb.com, and our recruiters correspond only from @ airbnb.com or @ ext.airbnb.com email addresses. Our recruiters will never ask for your Social Security number, bank account details, passport, or payment app information while you are interviewing.  We'll also never ask you to pay a fee, send money, deposit or cash a check, or purchase work-related equipment (such as a company laptop) during the interview process. We encourage candidates to remain vigilant of these recruiting scams and not share sensitive information if you do not believe an individual is actually affiliated with Airbnb.  

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community you will join: The Chief Business Officer (CBO) organization drives Airbnb's growth and expansion around the world, commercializing our new and existing businesses and executing our global strategy in the market. The Global Markets team sits within CBO and makes sure Airbnb is locally relevant everywhere we operate, working with regions to plan and execute growth across supply, demand, and the surfaces our communities use. Asia is one of the largest growth opportunities in that portfolio and one of the most complex regions to run: Japan, Korea, India and Southeast Asia sit at very different stages of maturity, with distinct competitive sets, regulatory contexts and consumer behaviour. Over the past year, the region has built a new operating system and scaled multiple growth levers from single-market pilots to regional programs. That growth has outpaced our capacity to run it: business reporting, program delivery and the cross-functional roadmap currently sit with one person alongside the regional strategy agenda. We are building a dedicated capability to own how Asia operates and how Asia delivers, and we want you at the centre of it. The difference you will make: This role is based in Singapore and requires regular travel across Asia. In this role you report to the Senior Business Operations and Growth Lead, Asia and work closely with country Business Operations and Growth Leads across Japan, Korea, India and Southeast Asia, alongside central teams in growth marketing, product, payments, supply, policy and brand. You own the Asia business reporting and operating cadence, and you lead the delivery of the region's growth levers and its cross-functional roadmap. This is deliberately an ownership role in insights and execution, distinct from the roles around it. Countries own their market plans and outcomes, growth marketing, product and merchandising teams build the platforms, and Strategic Finance and Advanced Analytics own objective tracking and measurement standards. You own the connective tissue between them: the reporting that gives the region one accurate and current picture, the delivery of growth levers into market, the roadmap accountability that keeps cross-functional commitments on track, and the competitive read that tells us where we are gaining and losing. A typical day: Lead the end-to-end operations and delivery of selected regional growth levers including go-to-market, measurement and optimization Own the regional business reporting structure, inputs and cadence regionally and globally Own the regional view of the cross-functional roadmap across supply, product, payments, policy, brand and growth marketing, and drive accountability on delivery through cross-functional collaboration Own the regional competitive view across both guest and host and enable capabilities locally for country teams for local competitors Build AI-enabled automation into the region's reporting, insight delivery and recurring operations that scales team output Synthesize data, trends, guest and host insights, and analysis into actionable recommendations for the regional business Conduct deep dives into operational, programs or functional topics as needed, working with FP&A to assess business performance across areas of strength and weakness Drive entity prioritization and lead entity setup across Asia markets, coordinating with legal, tax, finance and country teams Your expertise: 10+ years in business operations, strategy, consulting or program management, ideally in a marketplace, consumer technology, hospitality or online travel agency (OTA) environment Experience managing programs or operations across multiple countries with varying levels of maturity, and across time zones A proven track record building and running business operating cadences for a distributed organization: reporting, business reviews, and the follow-through that makes commitments land Exceptional cross-functional orchestration in a heavily matrixed organization, creating clarity where ownership is split across product, growth marketing, payments, supply and country teams Strong operating discipline: cross-workstream roadmaps, launch management, business reviews and executive reporting, and crisp written communication that keeps distributed teams aligned Builds operational leverage with AI: a track record of applying AI and automation to reporting, insight generation and repetitive operational work, with measurable time saved or scale gained. You treat this as part of how you work, not a side project. Analytical fluency: comfortable in the numbers, builds the analysis personally, and sets consistent measurement standards with analytics and finance partners (Excel) Thrives in ambiguity, with a strong bias to action, ownership and ruthless prioritization Fluent written and spoken English Desirable: hands-on experience with one or more growth levers such as incentives, promotions and coupons, host-funded offers, lifecycle and CRM, or merchandising. Familiarity with the business, economic and cultural environments across Asia.   Reasonable Accommodations: We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role. A Note on Recruiting Scams: Scammers sometimes pose as Airbnb recruiters to get money or personal information from candidates. A few things that will always be true for Airbnb's hiring process: our open roles are posted on Airbnb's Career's Page at careers.airbnb.com, and our recruiters correspond only from @ airbnb.com or @ ext.airbnb.com email addresses. Our recruiters will never ask for your Social Security number, bank account details, passport, or payment app information while you are interviewing.  We'll also never ask you to pay a fee, send money, deposit or cash a check, or purchase work-related equipment (such as a company laptop) during the interview process. We encourage candidates to remain vigilant of these recruiting scams and not share sensitive information if you do not believe an individual is actually affiliated with Airbnb.  

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team In this role, you'd be joining the Professional Services team. Our team's mission is to empower every Stripe user to achieve maximum value from their investment quickly and confidently. Our team helps Stripe increase the GDP of the internet by supporting the success of our large, intricate Stripe implementations. This involves guiding users through their integration process, project planning, coordinating with stakeholders, handling deliverables, meeting key timelines, and educating our users about the maximum potential they can achieve with Stripe. As an Implementation Consultant at Stripe, you are the driving force behind these strategic implementations. Your role is key in leading them through the integration process, turning them into long-term transacting Stripe users. Our team's core objective is to provide an efficient, seamless transition for our clients, assuring top-notch user satisfaction and relationship management. What you'll do As an Implementation Consultant, you will be managing the full onboarding cycle for mid-market and enterprise companies from contract signing through launch. You will proactively develop and manage integration architecture, change management strategy, and timelines. You will be expected to collaborate across departments, including Sales, Technical Services, Product, and Engineering, to ensure a successful transition for our clients. Responsibilities Own the full onboarding cycle for mid-market and enterprise companies from contract signing through launch. Develop, manage, and implement a customer's integration architecture, change management strategy, and timeline. Partner with other Sales and Technical Services teams to improve the overall Stripe user journey.  Engage with Product and Engineering teams to help drive product strategy for large users. Collaborate with teammates on strategic projects that improve and scale our implementation process and team operations. Who you are We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply.  The preferred qualifications are a bonus, not a requirement. Minimum requirements 4+ years of experience working with strategic customers on technology solutions, with a track record of top performance Ability to understand complex business requirements and craft tailored solutions Quick learner with the ability to explain technical concepts to Stripe's largest customers Proven project management skills and strong critical thinking abilities  Experience identifying and solving internal process inefficiencies  Superior verbal and written communication skills Ability to operate independently in a highly ambiguous and fast-paced environment Preferred qualifications Prior experience at a growth stage Internet/software company Experience in the payments industry Knowledge of APIs  Knowledge of SQL

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team The Account Executive, SMB Grower team is a highly consultative sales team that is responsible for the growth and retention of Stripe's largest and fastest growing SMB customers. As an Account Executive, SMB Grower team member, you'll identify new opportunities for our clients to get the most out of Stripe by quickly understanding our clients' needs, execute scaled sales strategies to close upsell and renewals with existing Stripe customers, and drive end-to-end campaigns to increase adoption of Stripe's offerings. What you'll do Responsibilities Own contract renewals and lead negotiations to increase and retain existing customer revenue and Stripe market share Develop and implement full sales cycle strategies for driving product adoption, net new product sales, and client retention at scale among existing Stripe customers Solve complex client needs and work across product, sales, risk, and operations teams to improve our product Own the full sales cycle from lead to close for startups and small/medium businesses Generate your own leads through cold calling, blitzing, research, networking, and driving your territory. Make every potential Stripe user happy with every interaction, regardless of deal size Identify and understand users' pain points to propose Stripe solutions Make sure that internal teams are set up for users' success by coordinating with other Stripe teams Who you are We're looking for a well-rounded strategic seller who can build strong relationships with Stripe's users and manage high velocity deal cycles. If you're hungry, smart, persistent, and a great teammate, we want to hear from you! Minimum requirements 3+ years of experience in a client-facing/sales role Ability to understand complex technical ecosystems and build great relationships with technical users Ability to drive and close upsell opportunities for additional Stripe products in long-term, consultative engagements Analytical ability to manage complex pricing and cost considerations Experience managing projects with input from cross-functional teams A knack for working well with a wide range of stakeholders, both internally and externally Ability and motivation to operate in a highly ambiguous and fast-paced environment Superior verbal and written communication skills in both French and English  Preferred qualifications Prior experience in a sales and/or customer-facing role at a high growth technology company Experience with Excel and SQL, or a willingness to learn

About Handshake Handshake was founded on a simple belief that everyone deserves a path to a great career, regardless of where they went to school or who they know. Today, we power 25 million job seekers, 1 million+ employers, and 1,600 educational institutions. In 2025, we started Handshake AI and built the fastest-growing AI data business in history. We work directly with frontier AI lab researchers to create evaluations, publish benchmarks, and push the boundary of data. We've grown from 0to~1B run rate and pay ~$60M to over 30K individuals every month. Why Join Handshake Now Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel Partner hand-in-hand with world-class AI labs, Fortune 500 partners and the world's top educational institutions Work together with engineers, scientists, operators, and more from Palantir, Meta, Scale AI, and former YC founders Build a massive, fast-growing business with billions in revenue About The Role Handshake is hiring a Machine Learning Engineer I for the Growth Relevance team. AI is transforming how students navigate their careers, and we're committed to providing innovative, responsible AI-powered solutions that guide students from educational aspirations to meaningful career opportunities. In this role, you will contribute directly to this mission by developing, deploying, and enhancing machine learning systems focused on lifecycle optimization, personalized notifications, and monetization strategies. You'll join a high-impact team leveraging cutting-edge ML infrastructure, including embedding-based retrieval, Graph Neural Networks, and multi-stage rankers built upon a robust data platform with billions of data points. Your work will drive critical marketplace metrics, enhance user engagement, and contribute to responsible AI practices around explainability, fairness, and quality. What You'll Do Innovator: Develop and iterate on machine learning models and features that directly influence user experience across lifecycle, notifications, and monetization — with guidance from senior engineers. Collaborator: Partner with senior engineers, data scientists, and product managers to develop and iterate on machine learning models that improve product features and user experience. Learner: Grow your technical depth by working alongside experienced ML practitioners, picking up best practices in model development, experimentation, and production deployment. Desired Capabilities Bachelor's degree in Computer Science, Data Science, or a related field 1-3 years of experience in machine learning, data science, or a related area Proficient in Python, with hands-on experience in frameworks such as scikit-learn, PyTorch, or TensorFlow Experience with deploying and evaluating agentic workflows Strong foundation in core ML concepts, including classification, regression, ranking, and model evaluation Extra Credit Master's degree or currently pursuing an advanced degree in a relevant field Exposure to areas such as recommendations, personalization, NLP, deep learning, LLMs, or explainable AI Familiarity with the ML lifecycle (e.g., experiment tracking, model monitoring, feature pipelines) Experience with cloud platforms (GCP, AWS, or Azure) Clear communicator, able to translate technical work for diverse audiences Collaborative mindset with experience working cross-functionally with product, analytics, and engineering teams Perks Handshake delivers benefits that help you feel supported—and thrive at work and in life. The below benefits are for full-time US employees. 🎯 Ownership: Equity in a fast-growing company 💰 Financial Wellness : 401(k) match, competitive compensation, financial coaching 🍼 Family Support: Paid parental leave, fertility benefits, parental coaching 💝 Wellbeing: Medical, dental, and vision, mental health support, $500 wellness stipend 📚 Growth: $2,000 learning stipend, ongoing development 💻 Remote & Office: Internet, commuting, and free lunch/gym in our SF office Compensation Range: $150K - $189K

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About The Team The Radar ML team builds the fraud detection models that protect Stripe's $1.9 trillion payment network from fraud. The team owns 10 real-time deep learning models that must constantly evolve to stay ahead of fraudsters. Each ML improvement translates directly into dollar impact for Stripe and its users. The team's models also power the Radar product suite that tens of thousands of businesses use to screen payments and manage fraud. Radar is growing fast, and the team is actively building new products to protect against AI token theft, free trial abuse, and scripted attacks. What you'll do In this role, you will own ML work across the full lifecycle: researching new fraud patterns, building and deploying models, and sharing results directly with top Stripe customers. You will have opportunities to optimize Stripe's most intensive ML models, and opportunities to ship 0-to-1 products from scratch. Responsibilities Build, train, evaluate, and deploy ML models that detect fraud across Stripe's global payments network Research emerging fraud patterns like token theft and develop ML solutions to address them Apply advances in deep learning to improve model quality and detection rates at scale Co-build new fraud and abuse products directly with top users Who you are We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Minimum Requirements 2+ years of experience training, evaluating, and deploying ML models in a production environment Proficiency in Python and common data and ML frameworks like SQL, Spark, and PyTorch Strong knowledge of production ML systems; and data analysis, statistics, and experiment design fundamentals Active interest in the latest ML developments, and how they can be leveraged to solve business problems Preferred Qualifications Strong software engineering skills and ability to design ML solutions through entire product stack Experience building and optimizing real-time, low-latency ML infrastructure at scale Experience applying ML to fraud detection, integrity, trust and safety, or a closely related domain Hybrid work at Stripe This role is available either in an office or a remote location (35+ miles or 56+ km from a Stripe office). In-office expectations 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. Working remotely at Stripe A remote location 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 live or plan to live. Pay and benefits The annual US base salary range for this role is $180,000 - $270,000. 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. We look forward to hearing from you. At Stripe, we're looking for people with passion, grit, and integrity. You're encouraged to apply even if your experience doesn't precisely match the job description. Your skills and passion will stand out—and set you apart—especially if your career has taken some extraordinary twists and turns. At Stripe, we welcome diverse perspectives and people who think rigorously and aren't afraid to challenge assumptions. Join us. Apply now Please find our California applicant personal information notice here. The application window will remain open for 100 days after the Job Post is published. However, this opportunity will remain open based on the needs of the business, which may cause the application window to close before or after the 100-day mark.

Description Team : EntreLeadership Location : Franklin, TN—on-site, relocation assistance available, flexible schedules available Salary : $77,000–$113,000/year* + profit sharing + benefits Range depends on skill level and overall experience. A Little Bit About Us :You might know us from our founder and CEO, Dave Ramsey, who's given no-nonsense money advice on the radio since 1992. Three decades later, Ramsey Solutions is a household name in personal finance, with a mission to change the toxic money culture for good. Our Mission: Ramsey Solutions provides biblically based, commonsense education and empowerment that give HOPE to everyone in every walk of life. Here's a Taste Of Our Benefits Health insurance (includes plans eligible for an HSA—with a company match up to $500!) 401(k) retirement plan with 4% match/company contribution Annual wellness, counseling and grocery membership reimbursement On-campus cafe with subsidized pricing for breakfast, lunch and coffee bar Dependent care FSA Tons of cultural activities, like weekly devotional, leadership development courses, Battle of the Bands, and one epic Christmas party! Where And How You'd Work Ramsey Solutions Headquarters is located just outside of Nashville in Franklin, Tennessee. We value our strong, unified company culture because we believe the best work is done together. That's why all of our team members work on-site under the same roof. But work-life balance is also important to us, so we offer flexible work schedules to take the stress out of appointments, family obligations and other needs that may pop up. While every team member has a designated workspace (with an electronic sit-stand desk), our campus was designed to house a variety of unique work and play zones (e.g., quiet library space, coffee bar/lounge areas, recreational game zone, and outside/patio work and break areas). What You'd Do In This Role The Analytics Engineer produces consumable data products, including analytical data models and curated tables, metrics, and visualizations that enable others to explore trends, ask questions, and apply data in decision-making. The Analytics Engineer focuses on enabling reasoning by others through well-designed warehouse models and clear visual representations of data. You're Probably a Match If You have 2+ years of experience as an analytics engineer, data analyst, or another similar role. You have the ability to clearly communicate with both technical and non-technical stakeholders You are proficient in SQL and scripting languages (for example: Python and R) You have experience with several of the following: Data pipelining and ETL/ELT processes Data modeling and dimensional modeling Data visualization (e.g. Streamlit, Plotly, Shiny) What Winning Looks Like Build and maintain data warehouses and data marts, ensuring high standards of data quality, accuracy, and consistency across the platform. Design, develop, and optimize scalable data pipelines and ETL processes using modern tools (e.g., SQL, Python, Apache Airflow, dbt, Snowflake, AWS Redshift), including monitoring for performance and data integrity. Establish and enforce robust data quality checks and monitoring systems to proactively identify and resolve data issues. Develop and maintain source-of-truth reports and dashboards for key business metrics, ensuring consistency across all reporting channels. Build deep expertise in key datasets and data models to support reliable, well-informed analytics. Partner with customers and stakeholders to understand business needs and translate them into actionable data products. Serve as a trusted advisor to analytics customers and stakeholders on data-related strategy and best practices. If Ramsey Solutions sounds like a workplace where you can get excited about Mondays, apply today. We can't wait to hear from you! EOE, including disability/vets

Job Description Providing for loved ones, planning rewarding retirements, saving enough for whatever lies ahead – our policyholders count on us to be there when it matters most. It's a big ask, but it's one that we have the power to deliver when we work together. We collaborate and innovate – pushing one another to transform not just Pacific Life, but the entire industry for the better. Why? Because it's the right thing to do. Pacific Life is more than a job; it's a career with purpose. It's a career where you have the support, balance, and resources to make a positive impact on the future – including your own. We're actively seeking a talented Analytics Engineer to join our Analytics Engineering team as part of our Advanced Analytics function in our Newport Beach, CA office. Reporting to the Director, Analytics Engineering, this role will help transform enterprise data into trusted, reusable analytics products that support reporting, machine learning, data science, and AI-powered business solutions. You'll collaborate with business stakeholders, analytics delivery, data engineers, visualization engineers, and data scientists to translate business needs into tested, documented, and scalable analytical models. Our work goes beyond building data transformations. We capture the business definitions, rules, and relationships that make data meaningful and usable by both people and AI agents. Working with dbt, Snowflake, Snowflake Cortex, AWS, and modern engineering practices, you'll help deliver reliable analytics solutions while enabling stakeholders to confidently use data and AI. You'll also contribute to our adoption of AI-assisted and agentic development using tools such as Claude Code and GitHub Copilot, with appropriate testing, human review, and security controls. How you will help move us forward Analytics Engineering: Develop and maintain modular SQL transformations and analytical data models using dbt and Snowflake, creating reusable data sets for reporting, analysis, data science, and AI use cases. Business Context and Semantic Modeling: Partner with stakeholders to understand business processes and translate requirements into clear data definitions, business rules, metrics, and semantic models. Document relationships and assumptions so data can be interpreted consistently. Data Quality and Trust: Build automated tests, validate business logic, investigate discrepancies, and maintain documentation and lineage to help ensure analytical data is accurate, understandable, and reliable. AI and Agentic Solutions: Contribute to the development, testing, and evaluation of Snowflake Cortex solutions and AI agents grounded in trusted enterprise data and business context. Modern Development Practices: Use Git, Azure DevOps (ADO), and CI/CD workflows to manage work, collaborate through pull requests, automate validation, and deliver controlled changes across development and production environments. AI-Assisted and Agentic Development: Apply approved tools such as Claude Code and GitHub Copilot to development, testing, documentation, and workflow automation. Review and validate AI-generated outputs while following engineering, privacy, and security standards. Stakeholder Enablement: Provide hands-on guidance, demonstrations, documentation, and knowledge transfer that help business partners adopt analytics products, use Snowflake Cortex, and become more self-sufficient. Reliability and Continuous Improvement: Troubleshoot analytical models and workflows, improve query performance and efficiency, modernize manual processes, and contribute reusable patterns and improvements to the team's engineering playbook. Cross-Functional Collaboration: Work with data engineering, platform, governance, and technology partners to deliver solutions that align with enterprise architecture, access controls, and operational standards, including AWS-based components where applicable. The experience you bring Education: Bachelor's degree in Computer Science, Information Systems, Data Analytics, Mathematics, Engineering, or a related field, or equivalent practical experience. Professional Experience: Typically at least 2–5 years of professional experience in analytics engineering, data engineering, business intelligence development, or a related technical role. Core Stack Experience: Hands-on professional experience with dbt and Snowflake, including developing, testing, documenting, and maintaining analytical data models. SQL and Data Modeling: Strong SQL skills and practical understanding of relational and dimensional modeling, data transformation, business logic, and query optimization. Software Engineering Practices: Experience with Git version control, branching, pull requests, code reviews, automated testing, and CI/CD. Experience with Azure DevOps (ADO) or a comparable delivery platform. Programming and Cloud: Working knowledge of Python for scripting, automation, or data-related development. Familiarity with AWS and cloud-based data environments; professional AWS experience is preferred. Business Partnership: Ability to translate business questions into technical requirements, explain technical concepts clearly, and help stakeholders understand and use analytical solutions. Problem Solving and Ownership: A thoughtful, detail-oriented approach to troubleshooting, validating results, documenting decisions, and following work through delivery. AI and Emerging Tools: Experience with Snowflake Cortex, AI agents, or generative AI solutions is preferred. Familiarity with Claude Code, GitHub Copilot, or other AI-assisted and agentic development tools is a plus, along with a willingness to learn and apply them responsibly. Industry Background: Experience in insurance, financial services, or another regulated environment is preferred, but not required. You can be who you are We are committed to a culture of diversity and inclusion that embraces the authenticity of all employees, partners and communities. We support all employees to thrive and achieve their fullest potential. What's life like at Pacific Life? Visit Instagram.com/lifeatpacificlife. Base Pay Range The base pay range noted represents the company's good faith minimum and maximum range for this role at the time of posting. The actual compensation offered to a candidate will be dependent upon several factors, including but not limited to experience, qualifications and geographic location. Also, most employees are eligible for additional incentive pay. $103,140.00 - $126,060.00 Your Benefits Start Day 1 Your wellbeing is important to Pacific Life, and we're committed to providing you with flexible benefits that you can tailor to meet your needs. Whether you are focusing on your physical, financial, emotional, or social wellbeing, we've got you covered. Prioritization of your health and well-being including Medical, Dental, Vision, and Wellbeing Reimbursement Account that can be used on yourself or your eligible dependents Generous paid time off options including: Paid Time Off, Holiday Schedules, and Financial Planning Time Off Paid Parental Leave as well as an Adoption Assistance Program Competitive 401k savings plan with company match and an additional contribution regardless of participation You Can Be Who You Are We are committed to a culture of diversity and inclusion that embraces the authenticity of all employees, partners and communities. We support all employees to thrive and achieve their fullest potential. What's life like at Pacific Life? Visit Instagram.com/lifeatpacificlife EEO Statement Pacific Life Insurance Company is an Equal Opportunity /Affirmative Action Employer, M/F/D/V. If you are a qualified individual with a disability or a disabled veteran, you have the right to request an accommodation if you are unable or limited in your ability to use or access our career center as a result of your disability. To request an accommodation, contact a Human Resources Representative at Pacific Life Insurance Company.

Job Title: Data Analyst Company: Clinisol Tech Inc. Experience: 2–3 years Compensation: $75,000 – $85,000 per year (Negotiable) Work Authorization At this time, we are only able to consider candidates who are authorized to work in the United States without sponsorship. Job Summary Clinisol Tech Inc. is seeking a Data Analyst to support data-driven decision-making across business and technology initiatives. In this role, you will analyze, validate, and interpret data from multiple sources, develop meaningful reports and dashboards, and provide actionable insights to improve business performance and operational efficiency. Key Responsibilities Collect, clean, transform, and analyze data from multiple sources. Write SQL queries to extract, manipulate, and validate data from relational databases. Develop and maintain dashboards and reports using Power BI, Tableau, or similar BI tools. Perform data validation and identify data quality issues, inconsistencies, and trends. Analyze business and operational data to identify patterns, opportunities, and areas for improvement. Develop basic Python scripts for data analysis, automation, and reporting. Prepare analytical reports with clear findings, visualizations, and data-driven recommendations. Collaborate with business, IT, engineering, and other stakeholders to understand reporting and analytical requirements. Track key performance indicators (KPIs) and support regular business reporting. Document data sources, analytical methodologies, and reporting processes. Qualifications Bachelor's degree in Data Analytics, Computer Science, Information Technology, Statistics, Mathematics, Business Analytics, or a related field. 2–3 years of experience in Data Analytics, Business Intelligence, Reporting, or a related field. Strong SQL skills with experience querying and analyzing relational databases. Experience with Excel for data analysis, reporting, pivot tables, formulas, and data validation. Experience with Power BI, Tableau, or another business intelligence and visualization platform. Knowledge of data cleaning, data validation, statistical analysis, and visualization techniques. Basic knowledge of Python for data analysis and automation. Strong analytical, communication, and problem-solving skills. Preferred Skills Experience with Python libraries such as Pandas and NumPy. Experience working with large datasets and multiple data sources. Knowledge of data warehousing and ETL concepts. Experience with cloud platforms such as AWS, Azure, or Google Cloud. Familiarity with databases such as SQL Server, MySQL, PostgreSQL, or Oracle. Experience creating executive dashboards and KPI reports. Certifications such as Microsoft Power BI Data Analyst, Google Data Analytics, Tableau, or other analytics certifications are a plus. About Clinisol Tech Inc. Clinisol Tech Inc. is a technology-driven organization focused on delivering innovative solutions across cybersecurity, healthcare, and enterprise domains. We are committed to leveraging data and advanced technologies to improve business intelligence, operational efficiency, and data-driven decision-making through collaborative partnerships.

Welcome! ‎ We are seeking a highly skilled Senior Data Analyst with at least 2 years of hands‑on analytics experience supported by a Master's degree in Analytics, Data Science, Statistics, or a related quantitative discipline to join our team. This role sits at the intersection of data, strategy, and business performance. The Senior Analyst will partner closely with business leaders to interpret data, track performance, and tell clear stories that support strategic decision-making. The ideal candidate can analyze complex business problems, identify meaningful trends and performance drivers, and translate analytical findings into practical recommendations that support business decision-making. ‎ Key Responsibilities Advanced Analytics (~60% of Time) Strategy & Insight Generation: Apply advanced analytical methodologies to evaluate business performance, identify risks and opportunities, uncover root causes, and provide actionable recommendations that support operational and strategic objectives. Business Consulting & Strategic Partnership: Partner with business leaders to define key business questions, evaluate strategic initiatives, and prioritize analytical opportunities. Data Discovery & Innovation: Evaluate and recommend enhancements to data assets, metrics, and analytical capabilities that strengthen business insights, decision-making, and organizational performance. Analytics Enablement: Define KPI frameworks, reporting requirements, and dashboard design to enable consistent, data-driven decision-making. Analytical Review & Validation: Apply a high level of attention to detail to evaluate analytical outputs, identify discrepancies, validate data integrity, assess calculation logic, and recommend corrective actions to improve reliability. Communication & Influence (~40% of Time) Communication & Storytelling: Develop compelling presentations, reports, and narrative documents that translate complex analytical results and model outputs into clear, actionable business stories for diverse audiences from frontline teams to executive leadership. Organizational Influence: Drive adoption of data-driven decision-making across the organization, advocating for best practices in model consumption, insights application, and analytical rigor. Collaboration: Work closely with the Data Operations team to translate business needs into reporting solutions, providing guidance on metric definitions, data requirements, dashboard functionality, and user adoption. Technical Skills Advanced proficiency in SQL for data querying, transformation, and manipulation. Proficiency in Python for data analysis. Proficiency in Excel and PowerBI for reporting/visualization. Experience with Databricks or similar distributed computing/cloud platform. Analytical Skills Deep expertise in statistical analysis, trend and variance analysis, segmentation, and translating data into actionable business recommendations. Communication Excellent verbal and written communication skills with the ability to present complex data and model concepts clearly to executive leadership. Meticulousness Ability to thoroughly validate data, analyses, and reporting outputs; identify discrepancies and gaps; and ensure accurate, reliable business insights. Stakeholder Management Demonstrated ability to manage relationships with multiple stakeholders, navigate competing priorities, and align analytical work to business objectives. ‎ Minimum Experience: 4+ years of professional experience in advanced data analysis, machine learning, or a related analytics role. Minimum Education: Master's Degree in Data Science, Analytics, Statistics, or a related quantitative field required. Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, genetic information, disability, status as a protected veteran, or any other protected category under applicable federal, state, and local laws. ‎ ‎ The job description is not intended to be a complete list of all responsibilities, duties or skills required for the job and is subject to review and change at any time, with or without notice, in accordance with the needs of Service Experts. Service Experts is committed to making our workplace accessible to individuals with disabilities and will provide reasonable accommodations, upon request, for individuals to participate in the application and hiring process. To request an accommodation, please email talentacquisition@serviceexperts.com

If you're passionate about building a better future for individuals, communities, and our country—and you're committed to working hard to play your part in building that future—consider WGU as the next step in your career. Driven by a mission to expand access to higher education through online, competency-based degree programs, WGU is also committed to being a great place to work for a diverse workforce of student-focused professionals. The university has pioneered a new way to learn in the 21st century, one that has received praise from academic, industry, government, and media leaders. Whatever your role, working for WGU gives you a part to play in helping students graduate, creating a better tomorrow for themselves and their families. The salary range for this position takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. At WGU, it is not typical for an individual to be hired at or near the top of the range for their position, and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is: Grade: Professional 308 Pay Range: $75,200.00 - $112,700.00 Job Description The Senior Data Analyst is responsible for extracting, processing, analyzing, and reporting on data to produce rigorous, actionable insights and research. They establish and maintain strong relationships with peers and leaders across IAR, Data Engineering, Product Management, Finance, EdTech, and Faculty staff. They perform ad hoc analyses, build standard reports and data visualizations, and deliver information and insights through various methods and media that privilege data storytelling and compress time-to-action. Primary Responsibilities Drives the documentation of data and analytics needs in projects of high complexity with a student and equity-centered lens, collaborating with peers, cross-functional partners, faculty staff, and leaders. Translates of user stories into technical requirements. Answers complex business questions requiring extensive knowledge of the university's data assets across several domains and departments. Identifies adequate data sources and data sets to evaluate hypotheses, build forecasts, and support findings of research projects and experiments. Collaborates with Data Engineering in the development of complex ETL/ELT processes and data pipelines. Identifies, investigates, and solves complex data issues, contributing to the accuracy, completeness, consistency, timeliness, and validity of the university's data. Collaborates with Data Engineering and other data & analytics partners to define standards and best practices that increase data quality across the university. Combines data analysis, visualization, and narrative structures to convey information in compelling ways that instigate deliberate action. Conveys information effectively to peers, partners, and senior leaders, using a variety of resources and formats (synchronous and asynchronous, verbal and written) such as e-mails, presentations, meetings, and workshops. Creates and organizes information about processes, projects, operations, data assets, and insights from analyses and research, making it accessible in ways that increase the university's knowledge and efficiency. Writes and interprets technical documentation (e.g., Entity-Relationship, Conceptual, Logical, and Physical data models). Contributes actively to the development of the university's data management platforms (e.g., data dictionaries, catalogs, etc.). Supports and accelerates other team members' development through constructive feedback and sharing of technical and institutional knowledge. Drives tasks, activities, and small-scale projects with high levels of autonomy, confidence, and collaboration with peers and partners. Tracks and reports own progress, dependencies, and challenges diligently. Breaks down complex goals into concrete tasks and activities. Works actively to improve own skills and knowledge through internal and external, formal and informal, structured and unstructured learning. Is a lifelong learner and embodies a growth mindset. Stays abreast of innovative developments in their area of work and plays an active role in deploying them at the university. Understands and abides by the relevant policies and methods to access, use, transform, store, and delete data in responsible, secure, and compliant ways. Performs other job-related duties as assigned. This job description includes a general representation of job requirements rather than a comprehensive inventory of all required responsibilities or work activities. The contents of this document or related job requirements may change at any time with or without notice. Qualifications Knowledge, Skills, and Abilities Advanced SQL proficiency, with experience writing queries and subqueries, modifying data, creating views, and knowledge of different join types, filtering, sorting, aggregation, window functions, common table expressions (CTE), and performance tuning. Highly proficient and experienced in using tools like Tableau and Power BI to present data and information utilizing charts, graphs, and maps, in ways that make it easy to understand trends, patterns, and outliers. Ability to interpret and design models that describe how data relate to one another, and to the properties of the real-world entities they represent. Understands conceptual and logical data modeling, and has experience with dimensional models, star schema, and snowflake schema. Comfortable with common project management methodologies and frameworks (e.g., Waterfall, Agile, SDLC). Proficient in MS Office suite, including advanced Excel knowledge. Proficient in flowchart and diagramming tools like Miro, Visio, Lucidchart, and similar applications. Familiarized with the university's most relevant KPIs, the drivers that affect them, and plays an active role in their definition and tracking. Ability to apply sound judgment, systems-thinking, and analytical skills to assess risks, perform root-cause analyses, make recommendations, and drive cross-functional decisions that contribute to the achievement of the university's objectives. Ability to perform with a very high level of autonomy, reliability, self-direction, and with a bias for action. Manages conflicting and concurrent activities with minimal need for supervision. Education Bachelor's degree in a related discipline Experience 5 years of related experience in Data Analysis, Business Intelligence, Data Science, Statistics, Decision Intelligence, Research, Learning Science, or Behavioral/Cognitive Psychology. Experience In Lieu Of Education An equivalent combination of training, experience, credentials, or accomplishments demonstrating the ability to perform the essential functions of this job may substitute for education degree requirements. Travel This position requires occasional travel of up to 20%, including required attendance at designated company summits (typically one to two per year). Additional travel may include conferences, visits to company locations, and other business-related events as needed. Additional travel may be assigned as needed to support business requirements. Position & Application Details Full-Time Regular Positions (classified as regular and working 40 standard weekly hours): This is a full-time, regular position (classified for 40 standard weekly hours) that is eligible for bonuses; medical, dental, vision, telehealth and mental healthcare; health savings account and flexible spending account; basic and voluntary life insurance; disability coverage; accident, critical illness and hospital indemnity supplemental coverages; legal and identity theft coverage; retirement savings plan; wellbeing program; discounted WGU tuition; and flexible paid time off for rest and relaxation with no need for accrual, flexible paid sick time with no need for accrual, 11 paid holidays, and other paid leaves, including up to 12 weeks of parental leave. How to Apply: If interested, an application will need to be submitted online. Internal WGU employees will need to apply through the internal job board in Workday. Additional Information Disclaimer: The job posting highlights the most critical responsibilities and requirements of the job. It's not all-inclusive. Accommodations: Applicants with disabilities who require assistance or accommodation during the application or interview process should contact our Talent Acquisition team at recruiting@wgu.edu. Equal Employment Opportunity: All qualified applicants will receive consideration for employment without regard to any protected characteristic as required by law.