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<h1>Principal Business Intelligence Engineer</h1> <a href="https://careers-americas.icims.com/jobs/16839/principal-business-intelligence-engineer/job?mode=apply" target="_blank">Apply for this job</a> Working at Atlassian Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company. We’re looking for a Principal Business Intelligence Engineer to join a high-performing team passionate about solving business problems with advanced analytics. You will translate raw data into valuable business insights, guide initiatives to measure the health of Cloud Migrations, build dashboards and support key performance indicators. The ideal candidate has a background in data engineering, proficiency in SQL, proven data visualization skills, and experience engaging with executive audiences. The candidate will be comfortable with ambiguity in a fast-paced environment, displaying big-picturing thinking while paying careful attention to detail. <ul> <li>Partner with senior leaders to translate business needs into technical requirements, data products and actionable insights.</li> <li>Design, develop, and optimize key business metrics, reports, analyses and dashboards to drive business decisions</li> <li>Use data visualization, statistics, and storytelling to effectively answer open-ended business questions</li> <li>Manage data pipelines, reports, and dashboards</li> <li>Work with data engineers on our scalable data infrastructure for analytics</li> <li>Present data results, analyses and recommendations to senior leaders</li> <li>Document and provide training for business users on BI tools and data workflows</li> <li>Continually improve the dashboard experience, automating or simplifying self-service support for end-users</li> </ul> <ul> <li>Bachelors/Masters in Computer Science, Information Systems, Business/Data Analytics or a related field</li> <li>Minimum 4 years of experience creating dashboards and interactive reports in BI tools (Tableau, Streamlit, Databricks, etc)</li> <li>Minimum 2 years of SQL experience with a solid understanding of CTEs, Sub-queries, and window functions</li> <li>Minimum 4 years experience in an analytics field with data engineering exposure</li> <li>Working knowledge of Databricks to write production-level queries and publish visualizations</li> <li>Experience presenting data insights and recommendations to senior leaders and executives</li> <li>Experience with Git-based tools like BitBucket</li> <li>Experience defining technical requirements and using data and metrics to draw actionable insights</li> </ul> Compensation At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. To support this goal, the baseline of our range is higher than that of the typical market range, but in turn we expect to hire most candidates near this baseline. Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience. In the United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are: Zone A: $149,000 - $198,700 Zone B: $134,100 - $178,800 Zone C: $123,700 - $164,900 This role may also be eligible for benefits, bonuses, commissions, and equity. Please visit <a href="http://go.atlassian.com/payzones" target="_blank">go.atlassian.com/payzones</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. Our perks &amp; benefits Atlassian offers a variety of perks and benefits to support you, your family and to help you engage with your local community. Our offerings include health coverage, paid volunteer days, wellness resources, and so much more. Visit <a href="http://go.atlassian.com/perksandbenefits" target="_blank">go.atlassian.com/perksandbenefits</a>to learn more. About Atlassian At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together. We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines. To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them. To learn more about our culture and hiring process, visit <a href="http://go.atlassian.com/crh" target="_blank">go.atlassian.com/crh</a>. <a href="https://careers-americas.icims.com/jobs/16839/principal-business-intelligence-engineer/job?mode=apply" target="_blank">Apply for this job</a>

Atlassian

Principal Business Intelligence Engineer

<h1>Senior Principal Machine Learning Engineer, Central AI</h1> <a href="https://careers-americas.icims.com/jobs/15733/senior-principal-machine-learning-engineer%2c-central-ai/job?mode=apply" target="_blank">Apply for this job</a> Working at Atlassian Atlassians have flexibility in where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company. Atlassian is seeking a Senior Principal Machine Learning Engineer to join our Central AI organization. The Central AI organization develops the foundational infrastructure, data pipelines, frameworks, models, Gen AI and other capabilities to expedite AI feature development throughout the entire company. <h2>Your future team</h2> Central AI’s mission is to expedite AI innovation across all Atlassian products and platforms, ensuring a unified AI user experience and establishing a robust AI infrastructure for Atlassian's future. Central AI is tasked with constructing the underlying infrastructure and capacities, which are crucial for the seamless integration and optimal functionality of AI across various products. By doing so, Central AI ensures that different teams within the organization do not work in silos but have access to a unified foundation that promotes efficiency and collaboration. Additionally, Central AI is responsible for developing some of the core shared experiences typical in the AI domain, such as search, knowledge discovery, conversation, and agents. <h2>What you’ll do</h2> As a Senior Principal Machine Learning Engineer, your role will be instrumental in steering the development and deployment of advanced machine learning algorithms and system architecture. You will be tasked with training complex models and working in close collaboration with product, backend/front end engineering, and analytics teams to seamlessly integrate AI functionalities into every Atlassian product and service. Your day-to-day responsibilities will span a wide range of tasks, including designing system and model architectures, conducting meticulous experimentation and model evaluations, and mentoring budding ML engineers. Your role extends beyond these tasks, playing a crucial part in harnessing the transformative power of AI across our product suite. <h2>Your background</h2> <h3>On the first day, we'll expect you to have</h3> <ul> <li>Master’s degree or equivalent practical experience</li> <li>10+ years of related industry experience in AI/machine learning domain</li> <li>Expertise in Python or Java with and the ability to write performant production-quality code, familiarity with SQL, knowledge of Spark and cloud data environments (e.g. AWS, Databricks)</li> <li>Experience building and scaling machine learning models in business applications using large amounts of data</li> <li>Ability to communicate and explain data science concepts to diverse audiences, craft a compelling story</li> <li>Focus on business practicality and the 80/20 rule; very high bar for output quality, but recognize the business benefit of "having something now" vs "perfection sometime in the future"</li> <li>Agile development mindset, appreciating the benefit of constant iteration and improvement</li> </ul> <h3>It's great, but not required, if you have</h3> <ul> <li>Master’s degree or PhD in Engineering, Computer Science, or a related technical field</li> <li>Experience working in a consumer or B2C space for a SaaS product provider, or the enterprise/B2B space</li> <li>Experience in developing deep learning-based models and working on LLM-related applications</li> <li>Excelling in solving ambiguous and complex problems, being able to navigate through uncertain situations, breaking down complex challenges into manageable components and developing innovative solutions </li> </ul> <h2>Our perks &amp; benefits</h2> Atlassian offers a variety of perks and benefits to support you, your family and to help you engage with your local community. Our offerings include health coverage, paid volunteer days, wellness resources, and so much more. Visit <a href="http://go.atlassian.com/perksandbenefits" target="_blank">go.atlassian.com/perksandbenefits</a>to learn more. <h2>About Atlassian</h2> At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together. We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines. To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. To learn more about our culture and hiring process, visit <a href="http://go.atlassian.com/crh" target="_blank">go.atlassian.com/crh</a> <a href="https://careers-americas.icims.com/jobs/15733/senior-principal-machine-learning-engineer%2c-central-ai/job?mode=apply" target="_blank">Apply for this job</a>

Senior Principal Machine Learning Engineer, Central AI

<h1>Senior Principal Data Scientist</h1> Analytics &amp; Data Science | San Francisco, United States | Remote, Remote | <a href="https://careers-americas.icims.com/jobs/15763/senior-principal-data-scientist/job?mode=apply" target="_blank">Apply for this job</a> Working at Atlassian Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company. Your future team You will be part of a world-class Data Science team that leverages data to drive insights about our products and customers. The Data Science team partners closely with Product Managers, Engineers, Designers, Researchers, Data Engineers, Markets and the Executive team across Atlassian to drive and influence outcomes. The team is responsible for using a variety of analysis and data-science techniques to understand how Atlassian's customers engage with our AI products, identify gaps and opportunities, and measure the success of our product investments. In this role, you will: <ul> <li>Identify key business challenges and develop strategic initiatives for your cross-functional business partners, be a trusted strategic partner, and build credibility.</li> <li>Influence Atlassian Intelligence product strategy and roadmaps, and drive impactful change through the structure and clarity of your analysis and recommendations.</li> <li>Lead and prioritize multiple workstreams and/or large complex data science programs. In collaboration with your data science team and your business partners, you will be making informed decisions about priorities, timing, and resourcing.</li> <li>Drive best practice techniques for communicating complex, unfamiliar, challenging, and/or difficult information, including the development and use of frameworks and conceptual models.</li> <li>Lead the evolution of data assets in your team. Coordinate with and influence other data science and engineering teams working on Atlassian Intelligence to ensure alignment of metrics, measurement, and analysis methodologies.</li> <li>Leverage broader industry knowledge to establish frameworks to measure customer engagement with and quality of Atlassian intelligence features.</li> <li>Actively share your work and knowledge to benefit work done across data science.</li> <li>Proactively enable your data science team to address business needs and navigate change and ambiguity.</li> <li>Use your experience and expertise to identify, solve, and bridge gaps/problems across data science and drive programs of work impacting organizational processes that scale Atlassian.</li> </ul> Minimum Qualifications / Your background: <ul> <li>Proven track record of driving projects or programs that have had a significant impact on business strategy and performance.</li> <li>Excels at advising, presenting to and serving as a thought partner to senior executives</li> <li>10+ years of experience in Data Science or related fields.</li> <li>Expertise in SQL and another data manipulation programming language (e.g., Python, R).</li> <li>Proficiency in at least one visualization tool (e.g., Tableau, R-Shiny, Looker).</li> <li>Expertise in applying a broad variety of statistical concepts (e.g. regressions, A/B tests, clustering, probability) to business problems and a strong sense of when to adapt/combine approaches to suit the problem at hand.</li> <li>Experience leading and mentoring teams, with a focus on achieving strategic objectives.</li> </ul> Desirable Qualifications <ul> <li>12+ Years of Experience in Data Science or related fields</li> <li>Understanding of the SaaS business model and key metrics.</li> <li>Experience in developing insights for Chat, Search, or LLM-based products.</li> <li>Championing the adoption of industry standards in a functional area of Data Science.</li> </ul> Compensation At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. To support this goal, the baseline of our range is higher than that of the typical market range, but in turn we expect to hire most candidates near this baseline. Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience. In the United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are: Zone A: $231,600 - $308,800 Zone B: $208,400 - $277,900 Zone C: $192,200 - $256,300 This role may also be eligible for benefits, bonuses, commissions, and equity. Please visit <a href="http://go.atlassian.com/payzones" target="_blank">go.atlassian.com/payzones</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. Our perks &amp; benefits Atlassian offers a variety of perks and benefits to support you, your family and to help you engage with your local community. Our offerings include health coverage, paid volunteer days, wellness resources, and so much more. Visit <a href="http://go.atlassian.com/perksandbenefits" target="_blank">go.atlassian.com/perksandbenefits</a>to learn more. About Atlassian At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together. We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines. To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them. To learn more about our culture and hiring process, visit <a href="http://go.atlassian.com/crh" target="_blank">go.atlassian.com/crh</a>. <a href="https://careers-americas.icims.com/jobs/15763/senior-principal-data-scientist/job?mode=apply" target="_blank">Apply for this job</a>

Senior Principal Data Scientist

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>

Coinbase

Data Analyst

<h2>About the team</h2>Zillow Group is deeply investing in developing the next generation of products to power the real estate industry including agents and partners, their clients and industry as a whole! The new Agent Software and Advertising (ASA) organization is at the forefront of this strategy with the development of innovative products. These products include Zillow Listing Showcase and productivity tools to empower agents. Our wide array of products and services are built on technological innovations crafted to bring efficiencies to all users.<h2>About the role</h2>The ASA Data Science team is hiring a Product Analytics Manager to lead a team focused on uncovering insights to deliver a next generation of software and advertising products to the real estate industry.You Will Get To<ul> <li>Build and lead a world-class Product Analytics function that harnesses the power of data to inform Go-To-Market and Product Strategy.</li> <li>Set the vision for Product Analytics and manage the execution with the highest standards.</li> <li>Collaborate with team members across product, engineering, and more!</li> <li>Use advanced analytics including clustering, propensity modeling, statistical knowledge, and other explanatory techniques to gain a clearer picture of customer behavior.</li> <li>Translate analytical findings to resonate with industry partners to enable our next phase of growth.</li> <li>Build compelling data stories and visualizations to influence partners across the organization and beyond.</li> </ul>This role has been categorized as a Remote position. “Remote” employees do not have a permanent corporate office workplace and, instead, work from a physical location of their choice, which must be identified to the Company. U.S. employees may live in any of the 50 United States, with limited exceptions.In California, Colorado, Connecticut, Hawaii, Illinois, Maryland, Minnesota, Nevada, New York, Washington state, and Washington DC the standard base pay range for this role is $126,700.00 - $202,300.00 Annually. This base pay range is specific to California, Colorado, Connecticut, Hawaii, Illinois, Maryland, Minnesota, Nevada, New York, Washington state, and Washington DC and may not be applicable to other locations.In addition to a competitive base salary this position is also eligible for equity awards based on factors such as experience, performance and location. Actual amounts will vary depending on experience, performance and location.<h2>Who you are</h2>You are ready to bring a data and analytics mindset to transform what it means to unlock the ability for consumers to dream, search, and find a home. You have an appreciation of the unique challenges posed by business-to-business product development.Qualifications<ul> <li>An undergraduate or Master’s degree in a quantitative field (e.g. mathematics, engineering, statistics, finance, or similar)</li> <li>8+ years of work experience involving quantitative data analysis and complex problem solving. Experience working with product and engineering required.</li> <li>3+ years leading Product Analytics teams including best practices in instrumentation of Customer Journey analytics.</li> <li>A strong understanding of statistical concepts, measurement issues, and inference techniques.</li> <li>Proficiency in SQL, Excel, and either Python or R, along with some experience with Tableau, Mode, or other visualization software.</li> <li>Experience with A/B Testing</li> <li>Strong written, verbal, and visual communication skills with the ability to work cross-functionally.</li> </ul> Preferred Qualifications<ul><li>Experience with building a Product Analytics function in a B2B landscape</li></ul><h2>Get to know us</h2>Zillow is reimagining real estate to make home a reality for more and more people.As the most-visited real estate website in the United States, Zillow® and its affiliates help movers find and win their home through digital solutions, first class partners, and easier buying, selling, financing and renting experiences. Millions of people visit Zillow Group sites every month to start their home search, and now they can rely on Zillow to help make it easier to move. The work we do helps people get home and no matter what job you're in, you will play a critical role in making home a reality for more and more people.Our efforts to streamline the real estate transaction are supported by a deep-rooted culture of innovation, our passion to redefine the employee experience, a fundamental commitment to Equity and Belonging, and <a href="https://www.zillow.com/careers/benefits/" target="_blank">world-class benefits</a>. These benefits include comprehensive medical, dental, vision, life, and disability coverages as well as parental leave, family benefits, retirement contributions, and paid time off. We’re also setting the standard for work experiences of the future, where our employees are supported in doing their best work and living a flexible, well-balanced life. But don’t just take our word for it. Read recent reviews on <a href="https://www.glassdoor.com/Overview/Working-at-Zillow-EI_IE40802.11,17.htm" target="_blank">Glassdoor</a> and recent recognition from multiple organizations, including: the 100 Best Companies to Work For, Glassdoor Employees’ Choice Award, Bloomberg Gender-Equality Index, Human Rights Campaign (HRC) Corporate Equity Index, and TIME <a href="http://time.com/100companies" target="_blank">100 Most Influential Companies</a> list.Zillow Group is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please contact your recruiter directly.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable state and local law.Applicants who receive job offers from Zillow Group will be asked to sign a Proprietary Rights Agreement which includes confidentiality, intellectual property assignment, customer and employee non-solicitation, and non-competition provisions. If you are contacted for a role at Zillow Group and wish to review a copy of the Proprietary Rights Agreement prior to receiving an offer, you may request a copy from your Recruiter.

Zillow

Manager, Product Analytics

<h1>Principal Data Scientist</h1> <a href="https://careers-americas.icims.com/jobs/15764/principal-data-scientist/job?mode=apply" target="_blank">Apply for this job</a> Working at Atlassian Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company. In this role, you will: <ul> <li>Collaborate on a variety of product and business problems with a diverse set of cross-functional partners, become a trusted strategic partner, and build credibility through the structure and clarity of your work.</li> <li>Apply technical expertise with quantitative analysis, experimentation, and the presentation of data to develop strategies for our business and help solve the business's biggest challenges.</li> <li>Focus on developing hypotheses through analytical approaches, different methodologies, frameworks, and technical approaches to test them.</li> <li>Define, understand, and test opportunities to improve the products and business and influence roadmaps through insights and recommendations.</li> <li>Partner with cross-functional teams to inform, influence, and execute strategy decisions</li> <li>Identify and measure the success of product efforts through forecasting and monitoring of key product metrics to understand trends.</li> <li>You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Atlassian.</li> <li>You will use storytelling techniques to communicate insights broadly, including to company leadership teams.</li> </ul> Minimum Qualifications / Your background: <ul> <li>8+ Years of Experience in Data Science or related fields</li> <li>Proficiency in SQL AND another data manipulation programming language (e.g Python, R)</li> <li>Expertise at telling stories with data and familiarity with at least one visualization tool (e.g. Tableau, R-Shiny, Microstrategy, SAP Business Objects, Looker, etc.)</li> <li>Expertise in applying a broad variety of statistical concepts (e.g. regressions, A/B tests, clustering, probability) to business problems and a strong sense of when to adapt/combine approaches to suit the problem at hand</li> <li>Experience driving projects or programs that have had a proven impact on business strategy and performance through your analytics skills</li> <li>A proven track record for crafting analysis into well-written and persuasive content</li> <li>Experience advising, presenting to and serving as a thought partner to senior executives</li> </ul> Desirable Qualifications <ul> <li>10+ Years of Experience in Data Science or related fields</li> <li>An understanding of the SaaS business model and key metrics</li> <li>Experience in developing insights for Chat, Search or LLM-based products</li> </ul> Compensation At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. To support this goal, the baseline of our range is higher than that of the typical market range, but in turn we expect to hire most candidates near this baseline. Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience. In the United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are: Zone A: $201,300 - $268,400 Zone B: $181,200 - $241,600 Zone C: $167,100 - $222,800 This role may also be eligible for benefits, bonuses, commissions, and equity. Please visit <a href="http://go.atlassian.com/payzones" target="_blank">go.atlassian.com/payzones</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. Our perks &amp; benefits Atlassian offers a variety of perks and benefits to support you, your family and to help you engage with your local community. Our offerings include health coverage, paid volunteer days, wellness resources, and so much more. Visit <a href="http://go.atlassian.com/perksandbenefits" target="_blank">go.atlassian.com/perksandbenefits</a>to learn more. About Atlassian At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together. We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines. To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them. To learn more about our culture and hiring process, visit <a href="http://go.atlassian.com/crh" target="_blank">go.atlassian.com/crh</a>. <a href="https://careers-americas.icims.com/jobs/15764/principal-data-scientist/job?mode=apply" target="_blank">Apply for this job</a>

Principal Data Scientist

At Habitat, we believe data drives everything we do – from fundraising, event planning, solicitation of volunteers, advocacy for safe and affordable housing, partnerships, and government/grant programs to engage, serve, and support our constituents. As such, we are seeking a Senior Data Engineer to join our Data Management Team. The primary responsibility in this role includes managing and optimizing Habitat’s enterprise data systems. This role is ideal for someone with extensive experience in data management, a strong background in computer science, and excellent communication skills. Essential Duties and Responsibilities: • Troubleshooting and Optimization: Troubleshoot data-related issues and continuously optimize data systems for better performance. (25%) • Data Pipeline Management: Develop and oversee data pipelines that ensure smooth data flow from various sources to storage and processing systems (20%) • Design and Build Data Systems: Create and maintain Habitat’s data systems, databases, and data warehouses to store and manage large volumes of data (20%) • Collaboration: Work closely with Director of Data Management, data architects, data analysts, and other stakeholders to understand data needs and implement approved data solutions (20%) • Data Compliance and Security: Ensure that data systems comply with security standards and regulations, protecting sensitive information. (10%) • Team Guidance: Provide technical guidance in best practices and project execution. (5%) Note: % of time commitment will fluctuate based on product need Minimum Qualifications: • Education: Bachelor’s Degree (Related Technical Discipline) • 6+ years hands on experience in data engineering, data system development, or related roles Requirements: • Familiarity with multiple data architecture design patterns • Ability to build, maintain and improve data architecture, data collection and data storage systems • Ability to write and interpret code/support the Agile teams as needed • Proficiency in ETL/ELT technologies with focus in Microsoft technology stack • Extensive programming experience of data processing languages (SQL/T-SQL, Python, Java, JavaScript) • Strong computer science background and knowledge of software development methodologies • Proficiency in cloud delivery models, cloud platforms, cloud storage, data streaming, and data frameworks (SaaS/DaaS/PaaS/IaaS, Azure, microservices, Dmbok2, TOGAF) • Strong skills in relational databases and data warehousing • Familiarity with big data tools such as Kafka, Spark, Hadoop • Expertise in code management utilizing GitHub/Visual Studio • Experience utilizing productivity tools with specialty utilizing Jira • Experience with DevOps practices, configuration frameworks and CI/CD automation tooling • Soft Skills: • Ability to communicate complex technical concepts to non-technical stakeholders • Effective in working both independently and within a team • Diligent, rigorous, and collaborative • Strong problem-solving and analytical abilities • Ability to work collaboratively in a fast-paced environment Preferred – in addition to minimum: • Certification in Data Engineering preferred • Certified SAFe 6 Practitioner • Experience with large-scale enterprise transformations • Proficiency in data visualization (Power BI, Tableau, MS Excel) • Experience working with Kubernetes • Experience working in a matrixed organization • Active support of HFHI Values: o Humility – We are part of something bigger than ourselves o Courage – We do what’s right, even when it is difficult or unpopular o Accountability – We take personal responsibility for Habitat’s mission • Safeguarding: HFHI requires that all employees take seriously their ethical responsibilities to safeguarding our intended beneficiaries, their communities, and all those with whom we work. Managers at all levels have responsibilities to support and develop systems that create and maintain an environment that prevents harassment, sexual exploitation, and abuse, safeguards the rights of beneficiaries and community members (especially children), and promotes the implementation of Habitat for Humanity’s code of conduct. The actual salary offered for this role will be based on a variety of factors, including location, internal equity and the candidate’s qualifications and professional experience. HFHI offers a competitive, comprehensive benefits package that varies by country and typically includes vacation leave, sick leave, personal days, health insurance options, retirement plan contributions and life insurance. For work locations in the US, the hiring range for this position is $86,700 to $102,000.

Terwilliger Centre for Innovation in Shelter

Senior Data Engineer

At Coinbase, our mission is to<a href="https://blog.coinbase.com/our-mission-strategy-and-culture-18a92a3bb0fa" target="_blank"> increase economic freedom around the world</a>, and we couldn’t do this without hiring the best people. We’re a group of hard-working overachievers who are deeply focused on building the future of finance and Web3 for our users across the globe, whether they’re trading, storing, staking or using crypto. Know those people who always lead the group project? That’s us. There are a few things we look for across all hires we make at Coinbase, regardless of role or team. First, we look for candidates who will thrive in a<a href="https://blog.coinbase.com/culture-at-coinbase-f0e1c2a99aff" target="_blank"> culture</a> like ours, where we default to trust, embrace feedback, and disrupt ourselves. Second, we expect all employees to commit to our<a href="https://blog.coinbase.com/coinbase-is-a-mission-focused-company-af882df8804" target="_blank"> mission-focused approach</a> to our work. Most importantly, we seek people who are excited about crypto, because those are the folks who enjoy the intense moments in our sprint and recharge work culture. We’re a remote-first company looking to hire the absolute best talent all over the world. Who you are: <ul> <li>You’ve got positive energy. You’re optimistic about the future and determined to get there. </li> <li>You’re never tired of learning. You want to be a pro in bleeding edge tech like DeFi, NFTs, DAOs, and Web 3.0. </li> <li>You appreciate direct communication. You’re both an active communicator and an eager listener - because let’s face it, you can’t have one without the other. You’re cool with candid feedback and see every setback as an opportunity to grow.</li> <li>You can pivot on the fly. Crypto is constantly evolving, so our priorities do, too. What you worked on last month may not be what you work on today, and that excites you. You’re not looking for a boring job.</li> <li>You have a “can do” attitude. Our teams create high-quality work on quick timelines. Owning a problem doesn’t scare you, but rather empowers you to take 100% responsibility for achieving our mission.</li> <li>You want to be part of a winning team. We’re stronger together, and you’re a person who embraces being pushed out of your comfort zone. </li> </ul> Team/Role: The Coinbase Customer Experience (CX) organization plays an imperative role in achieving our mission. Our team is dedicated to eliminating customer challenges, empowering our global user base via self-service and automation, and optimizing customer support interactions to build an effortless experience. As a Data Engineer on our team, you will function as a force multiplier, enabling Analytics and Operations to function seamlessly at scale. You’ll have the opportunity to translate complex technical and operational requirements into easily consumable front end data solutions, while also heavily influencing the overarching strategy for CX Analytics and its partners. What we do: <ul> <li>Build and maintain a foundational data layer (data marts), that serves as the single source of truth across CX and Coinbase. </li> <li>Design and implement robust data pipelines, guaranteeing data quality and timely data delivery across our organization.</li> <li>Pioneer developer tools that inject automation into data science processes, improving efficiency and productivity. </li> <li>Deliver tailored data products, designed to empower users with self-serve capabilities and ensure accurate answers to their data queries.</li> </ul> What you’ll be doing: <ul> <li>Capturing customer and partner team user stories to develop solutions that truly solve their needs</li> <li>Collaborate with stakeholders to manage a long-term engineering 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>Function as a team expert on data infrastructure efficiency and cost optimization</li> <li>Build a collaborative team environment that fosters efficient execution, innovation, and continuous improvement</li> <li>Collaborate with analysts to solve complex data problems and provide recommendations on both content and optimization.</li> </ul> What we look for in you: <ul> <li> Python and Advanced SQL: Must be adept at scripting in Python, particularly for data manipulation and integration tasks, and have a solid grasp of advanced SQL techniques for querying, transformation, and performance optimization.</li> <li> Data Modeling: Understanding of best practices for data modeling, including star schemas, snowflake schemas, and data normalization techniques.</li> <li> ETL/ELT Processes: Experience in designing, building, and optimizing ETL/ELT pipelines to process large datasets.</li> <li> Apache Airflow: Experience in building, deploying, and optimizing DAGs in Airflow or a similar tool.</li> <li> GitHub: Experience with version control, branching, and collaboration on GitHub.</li> <li> Data Visualization: Knowledge of tools like Superset, Looker or Python visualization libraries (Matplotlib, Seaborn, Plotly…etc)</li> <li> Collaboration and Communication: Ability to work closely with data scientists, analysts, and other stakeholders to translate business requirements into technical solutions. Strong documentation skills for pipeline design and data flow diagrams.</li> <li>Fluency in English</li> </ul> Nice to haves: <ul> <li> Prompt Engineering for LLMs: Expertise in crafting, testing, and refining prompts for effective communication with LLMs, like GPT, to generate accurate and contextually relevant responses.</li> <li>Familiarity with Cloud platforms like AWS/GCP</li> <li>Knowledge of fundamental DevOps practices, including unit testing and repository management.</li> </ul> JOB ID: P61714 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: $147,900—$174,000 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>

Data Engineer

Doximity is transforming the healthcare industry. Join our mission to help every physician be more productive and provide better care for their patients. As medicine's largest network in the United States, there's an elevated level of responsibility in everything we do. We don't take that responsibility lightly and are committed to building diverse teams with an inclusive culture that can make a direct impact on the healthcare system. One of Doximity's <a href="https://work.doximity.com/" target="_blank">core values</a> is stretching ourselves. Even if you don't check off all the boxes below we encourage you to apply. Doximity is full of exceptional people who bring their own unique experiences to work everyday and make us all better for it! As a Data Analytics Manager, you'll work within cross-functional delivery teams alongside other analysts, engineers, and product managers in discovering data insights to help improve healthcare. This role can be filled in our San Francisco headquarters OR remotely in the U.S. About Us <ul> <li>Here are<a href="https://drive.google.com/open?id=1qimYh0mG3i1nTJe6jDCDepJt2i4o8MEB" target="_blank"> some of the ways we bring</a> value to doctors</li> <li>Here is an<a href="https://technology.doximity.com/technology-stack" target="_blank"> introduction</a> to our tech stack </li> <li>We use UNIX command-line interface and standard programming tools (vim/emacs, git, etc.) and have over 350 private repositories in Github containing our applications, forks of gems, our own internal gems, and<a href="https://github.com/doximity" target="_blank"> open-source projects</a> </li> <li>We have worked as a distributed team for a long time;<a href="https://blog.brunomiranda.com/building-a-distributed-engineering-team-85d281b9b1c" target="_blank"> we're currently about 65% distributed</a> </li> <li>Find out more information on the<a href="https://engineering.doximity.com/" target="_blank"> Doximity engineering blog</a> </li> <li>Our<a href="https://work.doximity.com/" target="_blank"> company core values</a> </li> <li>Our<a href="https://engineering.doximity.com/articles/engineering-recruitment-process-doximity" target="_blank"> recruiting process</a> </li> <li>Our<a href="https://engineering.doximity.com/articles/mofo-driven-product-development" target="_blank"> product development cycle</a> </li> <li>Our<a href="https://engineering.doximity.com/articles/software-engineering-on-boarding-at-doximity" target="_blank"> on-boarding &amp; mentorship process</a> </li> </ul> Here's How You Will Make an Impact <ul> <li>Leverage Doximity's extensive datasets to identify and classify behavioral patterns of medical professionals on our platform.</li> <li>Play a key role in creating both product and client-facing analytics.</li> <li>Inform data team strategy by working with the product leaders and managers. Actively participate in execution and some planning of organizational data team strategy.</li> <li>Contribute as part of a cross-functional team of product managers, analysts, and engineers to define and lead data projects from data ingestion to analysis to recommendations.</li> <li>Collaborate with Doximity’s Data Leadership team to ensure alignment and success across the entire Data Organization.</li> <li>Manage individual Data Analysts to foster learning, growth and success at Doximity.</li> </ul> About You <ul> <li>You have at least 5 years of industry experience as a data analyst or a data scientist.</li> <li>You have experience managing 4 or more people whereby you were accountable for their growth and success as individuals and team members.</li> <li>You excel at communicating to both technical and non-technical people, with an ability to explain complex concepts simply.</li> <li>You are able to contribute individually, outside of your reports or team by taking on analysis and recommendation driven projects leveraging SQL and Python.</li> <li>You are proficient in SQL and Python for hands-on analysis involving numerous tables and data relationships, and are familiar with object-oriented programming concepts as it relates to Python.</li> <li>You have an advanced understanding of probability and statistics (e.g., experimental design, optimization, predictive modeling).</li> <li>You can balance priorities between being a player (i.e. individual contributor) and a coach (i.e. manager or mentor).</li> <li>Fast learner, collaborative attitude and a natural curiosity and passion for data.</li> </ul> This role is not eligible for immigration sponsorship. Compensation The US total compensation range for this full-time position is $170,000 - $220,000 (inclusive of salary + equity). Our ranges are determined by role and level. The range displayed on each job posting reflects the approximate total target compensation for the position across the US. Within the range, individual pay is determined by factors including relevant skills, experience, and education/training. Please note that the compensation listed does not include benefits. More on /Benefits/Perks Doximity is proud to offer industry-leading benefits to our full time employees. Some of our offerings include: <ul> <li>Medical, dental, vision offerings for you and your family</li> <li>401k with matching program</li> <li>Employee stock purchase plan</li> <li>Family planning support, Childcare FSA, and parental leave</li> <li>Life, AD&amp;D, and Disability</li> <li>Generous time off, holidays and paid company trips</li> <li>Wellness benefits…plus many more!</li> </ul> More About Doximity… For the past decade, it’s been our mission to help every physician be more productive so they can provide better care for their patients. We believe that when doctors are connected, the healthcare system works better and patients benefit. Doximity enables our verified clinician members to collaborate with colleagues, stay up-to-date with the latest medical news and research, manage their careers, and conduct virtual patient visits. Today, Doximity is the leading digital platform for U.S. medical professionals, with over 80% of physicians, 50% of all nurse practitioners and physician assistants, and 90% of graduating medical students as members. Joining Doximity means being part of an incredibly talented and humble team passionate about improving inefficiencies in our $4.3 trillion U.S. healthcare system. We are a team of doers who solve problems everyday by treating obstacles like an adventure, and we love creating technology that has a real, meaningful impact on people’s lives. Doxers are committed to working towards a more equitable world both within and beyond our office walls. This starts by fostering an inclusive and diverse work environment where differences are valued and all employees are encouraged to bring their full, authentic selves to work daily. To learn more about our team, culture, and users, check out our <a href="https://workat.doximity.com/" target="_blank">careers page</a>, <a href="https://blog.doximity.com/" target="_blank">company blog</a>, and <a href="https://engineering.doximity.com/" target="_blank">engineering blog</a>. We’re growing fast, and there’s plenty of opportunity for you to make an impact—join us! For more information, visit<a href="http://www.doximity.com/" target="_blank"> Doximity.com</a>. ____________________________________________ EEOC Statement Doximity is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.

Doximity

Data Analytics Manager

See yourself at Twilio Join the team as Twilio’s next Senior Data Analyst - Strategy and Operations Who we are &amp; why we’re hiring Twilio powers real-time business communications and data solutions that help <a href="https://customers.twilio.com/" target="_blank">companies and developers worldwide</a> build better applications and customer experiences. Although we're headquartered in San Francisco, we have presence throughout South America, Europe, Asia and Australia. We're on a journey to becoming a global company that actively opposes racism and all forms of oppression and bias. At Twilio, we support <a href="https://www.twilio.com/company/diversity" target="_blank">diversity, equity &amp; inclusion</a> wherever we do business. About the job This position is in the Enterprise Strategy and Operations team within Twilio. As a senior analyst in this org, you will partner with cross functional teams across Finance, GTM, Marketing, Product, etc. to deliver growth initiatives and operational excellence through data driven projects. You will work closely with engineering teams to build automated datasets, key metrics, provide easy-to-consume reporting and analysis to business stakeholders across the company, and be a key partner in driving Twilio’s operational strategy. Our team has analysts supporting a large variety of departments around the company. Though each team member’s specific projects may differ, our team is built to foster an environment where everyone helps each other, we all grow together, and we empower Twilio with data insights, self service reporting, analytical solutions, and teaching best practices. Responsibilities In this role, you’ll: <ul> <li>Conduct multi-disciplinary analysis to identify insights that help drive revenue growth initiatives and work cross-functionally to get the initiatives implemented</li> <li>Develop data products that improve efficiency of partner teams and identify right key metrics to assess performance for different functional teams</li> <li>Develop data process automation workflows to improve effectiveness of stakeholders analytics processes.</li> <li>Be a true partner to stakeholders, understand real questions behind requests and advocate for the best long term solutions.</li> <li>Be a true self starter who identifies needs, writes documentation for others, and takes ownership over analytic products that may require inputs from multiple stakeholders. </li> <li>Partner with various business units including Finance, Go to Market, Data Engineering etc. on requirements for new datasets and metrics.</li> <li>Work on process automation and optimization across teams in Twilio</li> <li>Mentor junior analysts on the Business Intelligence team, as well as coach business stakeholders to promote a data savvy culture in the organization.</li> </ul> Qualifications Not all applicants will have skills that match a job description exactly. Twilio values diverse experiences in other industries, and we encourage everyone who meets the required qualifications to apply. While having “desired” qualifications make for a strong candidate, we encourage applicants with alternative experiences to also apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! Required: <ul> <li>5+ years of professional experience in developing technical BI and data analytics solutions in a fast paced industry. </li> <li>Extensive experience with Tableau and/or Looker.</li> <li>Proven ability to make strategic recommendations based on data to leadership.</li> <li>Experience working with SQL and relational and multidimensional database schemas and designs.</li> <li>Experienced in machine learning and Data science, particularly advanced forecasting techniques through either R or Python.</li> </ul> Desired: <ul> <li>Familiarity with project management and communicating requirements to Engineering teams.</li> <li>Some experience in data engineering stack. E.g. working with workflow orchestration tools and Spark</li> <li>Awareness of latest updates in industry such as Large Language Models (LLMs), Retrieval Augmented Generation, Robotic Process Automation concepts etc.</li> <li>Experienced in working with dispersed teams located across the globe.</li> </ul> Location This role will be remotebut is not eligible to be hired in San Francisco, CA, Oakland, CA, San Jose, CA, or the surrounding areas. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer There are many benefits to working at Twilio, including, in addition to competitive pay, things like generous time-off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call <a href="https://www.twilio.com/company/values" target="_blank">Twilio Magic</a>. Additionally, we empower employees to build <a href="https://twilio.org/support-and-resources/impact-fund" target="_blank">positive change in their communities</a> by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, <a href="https://www.twilio.com/company/jobs#open-positions" target="_blank">please consider other open positions</a>. *Please note this role is open to candidates outside of Colorado, California, New York, and Washington. The information below is provided for candidates hired in those locations only. The estimated pay ranges for this role are as follows: <ul> <li>Based in Colorado: $92,800.00 (Developing Minimum for Tier 3) - $116,000.00 (Mid for Tier 3).</li> <li>Based in New York, Washington State, or California (outside of the San Francisco Bay area): $98,320.00 (Developing Minimum for Tier 2) - $122,900.00 (Mid for Tier 2).</li> <li>Based in the San Francisco Bay area, California: $109,200.00 (Developing Minimum for Tier 1) - $136,500.00 (Mid for Tier 1).</li> <li>This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave.</li> </ul> The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location within the state. Twilio is proud to be an equal opportunity employer. Twilio is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law. Twilio is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please contact us at <a href="mailto:accommodation@twilio.com" target="_blank">accommodation@twilio.com</a>. Twilio is proud to be an equal opportunity employer. Twilio is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law. Twilio is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please contact us at <a href="#">accommodation@twilio.com</a>.

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