Product Manager, Ads Data
Doximity is transforming the healthcare industry. Our mission is to help doctors save time so they can provide better care for patients.
We value diversity — in backgrounds and in experiences. Healthcare is a universal concern, and we need people from all backgrounds to help build the future of healthcare.
Doximity is looking for a Data Product Manager to work with our Ads Team. The Ads Team focuses on maximizing our sponsored content delivery, improving client targeting, and determining the most efficient path to getting the right content in front of members. This role requires a passion for data, platform infrastructure, simplifying operations and technical depth. You will be a part of a cross-functional Product Team and will be accountable for the execution of the roadmap while serving as the bridge between the various stakeholders.
How you’ll make an impact:
- Lead a cross-functional team of Data Analysts, Data Scientists, Data Engineers, Machine Learning Engineers and others in the development and support of new product initiatives spanning many internal teams
- Lead business efforts with Commercial Ops team to help inform inventory and pricing strategies.
- Gather and generate requirements for product evolution based on market analysis and end user (or internal team) interactions
- Be an operational technical lead in communicating project readiness. Identify, prioritize and manage key challenges and risks of a given product
- Lead an Agile/Scrum process to establish the Product Roadmap with cross-functional teams, internal and external stakeholders
- Communicate technical components of the data process to non-technical stakeholders and external audiences
What we’re looking for:
- 3+ years of data product management experience and a passion for using data to maximize impact across multiple products; or Data Consultant (such as Business Analyst) on data-intensive projects
- Requires a strong understanding of business fundamentals.
- Project experience managing cross-functional, technical teams
- Highly analytical, using data to make decisions and comfortable gathering it yourself
- Results oriented. You can cut to the core of a problem, identify what needs to be done and when, and work with the teams to get solutions shipped
- Solid communication and presentation skills
- Ability to query large datasets and distill your findings into easy-to-understand analyses
- Curiosity with an extreme attention to detail that drives self-audit of your work, need to understand complex systems and simplify topics
- Ability to clearly and effectively communicate and maintain relationships with a diverse group of internal and external partners
- Understanding of Data Science / Machine Learning methodologies and steps involved in building successful data projects
- Looking for a startup environment that smartly and quickly delivers new features to market
About Doximity
We’re thrilled to be named the Fastest Growing Company in the Bay Area, and one of Fast Company’s Most Innovative Companies. Joining Doximity means being part of an incredibly talented and humble team. We work on amazing products that over 70% of US doctors (and over one million healthcare professionals) use to make their busy lives a little easier. We’re driven by the goal of improving inefficiencies in our $3.5 trillion U.S. healthcare system and love creating technology that has a real, meaningful impact on people’s lives. To learn more about our team, culture, and users, check out our careers page, company blog, and engineering blog. We’re growing fast, and there’s plenty of opportunity for you to make an impact—join us!
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.