Senior Software Engineer - Fullstack

The Payment Platform Team powers Asana’s subscription, billing, and payment infrastructure — the systems responsible for processing all revenue and enabling how we monetize the product. Our mission is to enable engineering teams to safely and rapidly build on billing capabilities, while empowering business teams to launch and iterate on pricing and packaging strategies. Our work sits at the intersection of every major revenue lever at Asana — from incentives that drive user growth, to the product catalogue that defines how we package and sell, to the core billing systems through which every dollar of revenue flows. This gives the team a unique opportunity to directly influence both product strategy and business outcomes. Engineers on this team have the opportunity to shape architecture, reliability, and long-term scalability of revenue-critical systems. This role is based in our Vancouver office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. WHAT YOU’LL ACHIEVE * Design, build, and maintain backend services using Scala and gRPC within a modern microservices architecture to support Asana’s global growth. * Own features end-to-end, from initial problem definition and design to implementation, launch, and iteration. Lead large, cross-team initiatives from ambiguous problem spaces to execution, driving key architectural decisions for revenue-critical systems. * Collaborate closely with cross-functional stakeholders in Product, Design, Finance, and partner engineering teams to deliver high-impact monetization solutions. * Ensure systems are reliable, scalable, and performant, specifically focusing on evolving cell-based distributed architectures. * Mentor fellow engineers and contribute to a high-performing technical culture by participating in design and code reviews. ABOUT YOU * Strong experience building and scaling backend or full-stack systems, ideally with distributed systems or complex data models. * Proven ability to take full ownership of technical problems and drive them to resolution across the entire stack. * Excellent collaboration skills with the ability to influence both engineering and non-engineering partners. * Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making. * Experience with (or a strong interest in) billing, payments, or financial systems and cloud infrastructure like Kubernetes. Thrives in an environment where you can evolve cell-based architectures, sharded systems, or multi-tenant distributed systems. WHAT WE’LL OFFER Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit. For this role, the estimated base salary range is between $176,000 - $200,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. In addition to base salary, your compensation package may include additional components such as equity and benefits. We strive to provide equitable and competitive benefits packages that support our employees worldwide and include: * Mental health, wellness & fitness benefits * Career coaching & support * Inclusive family building benefits * Long-term savings or retirement plans * In-office culinary options to cater to your dietary preferences #LI-Hybrid #LI-HC1 About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. Join Asana’s Talent Network to stay up to date on job opportunities and life at Asana.

RDQ226R533 At Databricks, we are passionate about helping data teams solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. We are the “AI/BI” team responsible for making Databricks the best product for business users to create, find and consume data insights. We work on 4 key pillars Dashboards, Genie, Databricks One and Unity Catalog Business semantics. UC Business semantics allow users to define business metrics and agent metadata in centrally governed systems for trusted access. Databricks One offers users a simplified experience tailored for non technical users to find and consume data insights. Genie lets users talk to their data with state of the art text-to-SQL and Dashboards lets users run their day to day business. We're seeking a dedicated Engineering Leader who will help grow the Data visualization and UC Business Semantics teams.These teams will be tackling a number of challenging fullstack problem spaces, including: making visualizations easy to consume, enabling dashboards to be highly interactive, creating compelling augmented analytics experiences, providing best in class low/no code authoring, and increasing the analytical expressivity of our business semantics products. You will report directly to the Senior Manager of Engineering. The main responsibilities include: * You will lead a talented engineering team of full stack engineers and SMEs focused on one of the above initiatives. * You will oversee sustained recruitment of top-tier talent, and developing talent on the team. * You will build processes to implement product vision and strategy, according to organizational goals and priorities. * You will build software that is not just high quality, but easy to operate. * You will manage technical debt, including long-term technical architecture decisions, and balance product roadmap. What we look for: * Great at hiring and developing talent * Great at creating efficient processes that increase velocity and quality * 2+ years of experience in managing teams that build and operate systems in a SaaS environment * 5+ years of experience with distributed systems and building platforms and services and best in class application experience which serve multiple product teams and customers * Have experience in scaling engineering teams from 5 to 20+ * Team player that will work with other departments (PM, CS) and engineering teams. * BS or higher in Computer Science, or a related field * Strong track record of attracting, hiring, and retaining top engineering talent * Experience managing distributed teams across multiple locations. * Adaptability and resilience in a fast-paced, rapidly evolving tech environment   Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticpates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.    Canada Pay Range $171,100—$227,500 CAD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.