Acast

About Acast Since 2014, Acast has been building the world’s most valuable podcast marketplace, creating the technology that connects podcast creators, advertisers, and listeners. Its marketplace spans more than 140,000 podcasts, 3,300 advertisers, and one billion quarterly listens. Crucially, those listens are monetized wherever they happen - across any podcast app or listening platform. About the role As an Engineering Manager at Acast you will be the people manager and technical leader across two teams. You will work closely with our tech leadership team to continuously deliver value and make sure that the members in your teams are growing. You will build, support, and grow these teams through hiring, coaching, mentoring, and feedback. You will drive execution by organizing teamwork, setting goals, and holding the teams accountable. You will have a critical role in guiding product decision making alongside stakeholders. In addition to your two teams, you will also be contributing to and influencing the engineering organization’s direction and culture alongside other engineering managers and directors. What you'll do The Delivery area is the core of Acast where the content, the user and the monetization meet to deliver the best possible experience and value for everyone. Collaborating with experienced PMs, you will guide two of the area’s key teams to break new ground in automating campaign planning and delivering smarter targeting through data driven recommendations. The work of your teams will create value for advertisers, creators, and the broader podcast ecosystem. Who you are We are looking for someone who truly enjoys developing and growing people. Leadership, communication, and relationship-building skills are among your strengths. We also believe that you advocate agile software development and engineering best practices. It's important that you are curious and can adapt quickly and enjoy a dynamic and ever-changing environment. The team’s systems are mainly written in TypeScript and Infrastructure runs in AWS so you are expected to be familiar with these technologies. In this role, you will be expected to stay connected to the team’s daily work and be a technical leader with the respect of your team. For this important teams we are seeking someone with solid experience and a strong track record of building and leading high-performing teams, and managing stakeholder relationships. Where you will be Most of our teams are hybrids with some members co-located in offices and some working remotely. For this role you can work remote within Sweden, or based out of our central Stockholm office. Culture  Acast is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment regardless of race, gender, sexual orientation, religion, ethnicity, national origin or any of the other wonderful characteristics that make us different. Culture is our number one priority as a business. We believe people come first, and we work every day to enable autonomy, continuous improvement and bring out the best in people. We’re global and have remote teams, so it’s even more important that we strive for an open, inclusive and caring environment where everyone feels visible and welcome.  We consider ourselves a modern organization driven by strong values to create the best, most fulfilling and nurturing culture. We very much look forward to finding the next great person to join our cause!

About Acast Since 2014, Acast has been building the world’s most valuable podcast marketplace, creating the technology that connects podcast creators, advertisers, and listeners. Its marketplace spans more than 140,000 podcasts, 3,300 advertisers, and one billion quarterly listens. Crucially, those listens are monetized wherever they happen—across any podcast app or listening platform. About the role We're looking for a Senior Data Analyst to join our BI team as the trusted data partner for Finance, Product, Sales, and Content Managers who work day-to-day with our podcasters. This role puts you at the forefront of agentic analytics, building the foundation that empowers AI agents to help stakeholders directly query and navigate complex data on their own. Spanning full-stack data work from raw data to consumption-ready dashboards, the position is as much about people and clear context as it is about data, so you'll spend as much time listening, clarifying, and building trust as you will building models. The best person for this role is someone who genuinely enjoys sitting with a stakeholder's half-formed question, working out what they're really asking, and bringing back an answer that makes their decision easier. You'll care as much about how something lands with the person asking as about whether the number is right. What you'll do Be the first person Finance, Product, Sales, and Content Managers turn to when they have a data question they can't quite put into words yet, and help them find the words. Own and evolve our core reporting infrastructure and data models in dbt and Omni across podcast consumption, listens, views, revenue, payout, and product analytics metrics - structuring underlying business logic so AI agents in Omni can reliably answer stakeholder questions in real time. Build and maintain dashboards that people actually understand and want to use, not just ones that are technically correct. Notice patterns and risks in payout, platform, and podcast consumption metrics before they become someone else's problem, and flag them early and clearly. Support Content Managers and Product teams with the data behind podcast consumption analysis, covering listens and views metrics as well as performance trends and payout questions, and help Sales understand what the numbers mean for their conversations with advertisers. Support teammates by explaining your thinking, documenting decisions, and making it easy for others to pick up where you left off. Collaborate closely with Analytics Engineers, Data Engineers, developers, and Product Managers to ensure consistency across data models, metrics, and definitions. Who you are Someone who listens well and asks good follow-up questions before jumping to a solution. Strong SQL and dbt skills, proficiency in BI tools like Omni, and experience accelerating analytics development using AI tools such as Cursor or Claude. A steady, careful approach to data that people can rely on — especially where finance and payouts are involved. Comfort holding several relationships at once — Finance, Product, Sales, and Content — without losing warmth or clarity under pressure. A collaborative, generous way of working: sharing context, mentoring where helpful, and making the people around you better at their jobs too. Proven ability to translate complex business logic into robust, maintainable data models and clear metrics definitions. Culture Acast is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment regardless of race, gender, sexual orientation, religion, ethnicity, national origin or any of the other wonderful characteristics that make us different. Culture is our number one priority as a business. We believe people come first, and we work every day to enable autonomy, continuous improvement and bring out the best in people. We’re global and have remote teams, so it’s even more important that we strive for an open, inclusive and caring environment where everyone feels visible and welcome. We consider ourselves a modern organization driven by strong values to create the best, most fulfilling and nurturing culture. We very much look forward to finding the next great person to join our cause!