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<h1>Global Head of AI Solutions Sales</h1> <a href="https://careers-americas.icims.com/jobs/17336/global-head-of-ai-solutions-sales/job?mode=apply" target="_blank">Apply for this job</a> Atlassian is looking for an Global Head of AI Solutions Sales to drive our Artificial Intelligence offerings in market as an overlay to our high-touch Account Executive teams. Our team will provide customers with strategic leadership in how they transform their workforce by leveraging AI solutions to accelerate business outcomes. This leadership includes close collaboration with the sales, solution engineer, product, and marketing teams to develop and execute tactics for successful customer change management. The ideal candidate will have a strong background in sales, a deep understanding of AI industry trends, and the ability to effectively prioritize efforts to optimize for maximum territory impact. The ideal candidate will possess a unique blend of executive selling expertise, strategic thinking, and leadership skills. 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. What You'll Do <ul> <li>Drive growth in AI sales by effectively executing and iterating upon our go-to-market strategy in a highly dynamic market.</li> <li>Manage the team to develop and execute territory plans to sell to customers based on their business needs.</li> <li>Build, iterate and execute a repeatable motion across your team to discover and prioritize compelling AI workflows and use cases and quantify business impact of investment</li> <li>Build, iterate and execute a repeatable motion across your team to strategize with customers on change management tactics to ensure solution is adopted broadly.</li> <li>Establish and maintain relationships with senior-level clients, particularly C-level executives and decision-makers.</li> <li>Manage the team as they lead the sales cycle from opportunity identification to closing, managing various stakeholders.</li> <li>Serve as a customer advocate, relaying feedback to enhance solutions. Share the insights acquired with the entire team, including the product, marketing, and sales/solutions leadership teams.</li> <li>Accurately forecast and report on revenue opportunities and track deal progression.</li> <li>Collaborate with channel partners and advisory services to create tailored solutions that effectively tackle the unique challenges faced by clients.</li> </ul> Your background <ul> <li>A minimum of 7 years of experience managing sales teams, ideally specializing in DevOps, Software Development Lifecycle (SDLC) Tools, Application Lifecycle Management, Digital Transformation and with some AI experience.</li> <li>A minimum of 2 years of experience managing a global team and experience with consumption billing models.</li> <li>A track record of surpassing targets showcasing proven techniques for achieving success.</li> <li>Ability to establish and nurture executive relationships with senior decision-makers in AI space.</li> <li>Effective at influencing across all levels up to the C-suite through strong communication, collaboration and presentation skills. You set the bar in terms of communication effectiveness while bringing teams, peers and leadership along on the journey.</li> <li>Collaboration is key. Utilize your experience in closely collaborating with extended sales teams and channel partners to achieve successful client outcomes. Proactively seek opportunities to instigate change and disrupt the status quo in a positive manner.</li> <li>Traveling as necessary to meet with clients, attend industry events, and participate in conferences.</li> <li>Ability to thrive in a rapidly evolving and fast-paced environment with demonstrated ability to navigate, work and collaborate successfully in a matrixed sales organization</li> <li>Experience using CRM to manage opportunities, accurately forecast and correlate sales metrics to individual performance</li> <li>Exceptional critical and creative thinking skills including evaluating risks and contingencies, developing structure in ambiguity, connecting the dots and flexibility in accepting new ideas or pivoting</li> <li>Demonstrate leadership qualities throughout your work – taking ownership of challenges, supporting your colleagues and setting the standard for quality in your deliverables</li> <li>Professional-level fluency in English</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: $196,500 - $262,000 Zone B: $176,900 - $235,800 Zone C: $163,100 - $217,500 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/17336/global-head-of-ai-solutions-sales/job?mode=apply" target="_blank">Apply for this job</a>

Atlassian

Global Head of AI Solutions Sales

<h1>Senior Machine Learning Engineer</h1> <a href="https://careers-americas.icims.com/jobs/16751/senior-machine-learning-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. What you’ll do As a Senior Machine Learning engineer, you will work on the development and implementation of the cutting edge machine learning algorithms, training sophisticated models, collaborating with product, engineering, and analytics teams, to build the AI functionalities into each Atlassian products and services. Your daily responsibilities will encompass a broad spectrum of tasks such as designing system and model architectures, conducting rigorous experimentation and model evaluations, and providing guidance to junior ML engineers. Your role is pivotal, stretching beyond these tasks, ensuring AI's transformative potential is realized across our offerings. On the first day, we'll expect you to have <ul><li>Bachelor's or Master's degree (preferably a Computer Science degree or equivalent experience)</li></ul> <ul><li>3+ years of related industry experience in the data science domain</li></ul> <ul><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></ul> <ul><li>Experience building and scaling machine learning models in business applications using large amounts of data</li></ul> <ul><li>Ability to communicate and explain data science concepts to diverse audiences, craft a compelling story</li></ul> <ul><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></ul> <ul><li>Agile development mindset, appreciating the benefit of constant iteration and improvement</li></ul> It's great, but not required, if you have <ul><li>Experience working in a consumer or B2C space for a SaaS product provider, or the enterprise/B2B space</li></ul> <ul><li>Experience in developing deep learning-based models and working on LLM-related applications</li></ul> <ul><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> 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: $199,400 - $265,800 Zone B: $179,400 - $239,200 Zone C: $165,500 - $220,600 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/16751/senior-machine-learning-engineer/job?mode=apply" target="_blank">Apply for this job</a>

Senior Machine Learning Engineer

<h1>GenAI Solutions Sales Executive</h1> <a href="https://careers-americas.icims.com/jobs/17080/genai-solutions-sales-executive/job?mode=apply" target="_blank">Apply for this job</a> Atlassian is looking for a GenAI Solutions Sales Executive to drive our Artificial Intelligence offerings in market as an overlay to our high-touch Account Executive teams. Our team will provide customers with strategic leadership in how they transform their workforce by leveraging AI solutions to accelerate business outcomes. This leadership includes close collaboration with the sales, solution engineer, product, and marketing teams to develop and execute tactics for successful customer change management. The ideal candidate will have a strong background in sales, a deep understanding of AI industry trends, and the ability to effectively prioritize efforts to optimize for maximum territory impact. The ideal candidate will possess a unique blend of executive selling expertise, strategic thinking, and leadership skills. 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. What You'll Do <ul> <li>Drive growth in GenAI sales by effectively executing and iterating upon our go-to-market strategy in a highly dynamic market.</li> <li>Develop and execute territory plan to sell to customers based on their business needs.</li> <li>Quantify business impact of investment to deliver value oriented proposals.</li> <li>Strategize with customers on change management tactics to ensure solution is adopted broadly.</li> <li>Establish and maintain relationships with senior-level clients, particularly C-level executives and decision-makers.</li> <li>Lead the sales cycle from opportunity identification to closing, managing various stakeholders.</li> <li>Serve as a customer advocate, relaying feedback to enhance solutions. Share the insights acquired with the entire team, including the product, marketing, and sales/solutions leadership teams.</li> <li>Accurately forecast and report on revenue opportunities and track deal progression.</li> <li>Collaborate with channel partners to create tailored solutions that effectively tackle the unique challenges faced by clients.</li> </ul> Your background <ul> <li>A minimum of 10 years of enterprise sales and/or solution engineering experience, ideally specializing in DevOps, Software Development Lifecycle (SDLC) Tools, Application Lifecycle Management, Digital Transformation and with some GenAI experience.</li> <li>A track record of surpassing sales targets showcasing proven sales techniques for achieving success.</li> <li>Ability to establish and nurture executive relationships with senior decision-makers in GenAI space.</li> <li>Effective at influencing across all levels up to the C-suite through strong communication, collaboration and presentation skills. You set the bar in terms of communication effectiveness while bringing teams, peers and leadership along on the journey.</li> <li>Collaboration is key. Utilize your experience in closely collaborating with extended sales teams and channel partners to achieve successful client outcomes. Proactively seek opportunities to instigate change and disrupt the status quo in a positive manner.</li> <li>Traveling as necessary to meet with clients, attend industry events, and participate in conferences.</li> <li>Ability to thrive in a rapidly evolving and fast-paced environment with demonstrated ability to navigate, work and collaborate successfully in a matrixed sales organization</li> <li>Experience using CRM to manage opportunities, accurately forecast and correlate sales metrics to individual performance</li> <li>Exceptional critical and creative thinking skills including evaluating risks and contingencies, developing structure in ambiguity, connecting the dots and flexibility in accepting new ideas or pivoting</li> <li>Demonstrate leadership qualities throughout your work – taking ownership of challenges, supporting your colleagues and setting the standard for quality in your deliverables</li> <li>Professional-level fluency in English</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: $157,500 - $210,000 Zone B: $141,800 - $189,000 Zone C: $130,700 - $174,300 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/17080/genai-solutions-sales-executive/job?mode=apply" target="_blank">Apply for this job</a>

AI Solutions Sales Executive

<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>

4 Software Engineering Jobs in Seattle, WA, USA