logo

JobNob

Your Career. Our Passion.

Product Manager, Data API


AppFolio


Location

Santa Barbara, CA | United States


Job description

Hi, We’re AppFolio
We’re innovators, changemakers, and collaborators. We’re more than just a software company – we’re pioneers in cloud and AI who deliver magical experiences that make our customers’ lives easier. We’re revolutionizing how people do business in the real estate industry, and we want your ideas, enthusiasm, and passion to help us keep innovating. We are looking for a Product Manager, Data Pipeline to join the AppFolio Platform team, the foundational layer that powers data driven products across AppFolio. Your team will own the analytics data pipeline, enabling internal and external customers to derive better insights on their data. You will lead the product charter ensuring customers can “Get the data you need, when you need it, where you need it.” You will help customers connect APM data as part of their holistic data landscape regardless of technical sophistication, through greater data access, from comprehensive APIs to easy to use exporting and integrations.

 

Your impact: - Define the data pipeline roadmap and work with the team to deliver against it - Partner with our data science teams on defining and delivering an analytics specific data model - Work in tandem with technical leadership to establish best practices around data governance - Be a key partner to product/development teams across AppFolio as they seek to build data products - Be a team leader, driving the culture, working agreements and outputs of your team - Deliver great cross functional communication on a high visibility and high impact project

 

Qualifications: - Able to explain technical concepts to less technical stakeholders. A bridge between engineering and business. - Ruthless in prioritization and creation of focus/clarity for the team on long term initiatives - Highly organized and a great communicator, especially in written formats

 

Must haves: - Experience building data or analytics products that were end user facing - Desire to tackle big problems and an ability to help the team break them into smaller parts - You have a track record of shipping great experiences that lead to discovery and high adoption in a role similar to this one - You have experience understanding needs of internal teams and can create leverage across teams through building reusable capabilities

 

Nice to have: - Knowledge of real estate, property management or property-tech businesses - Experience or familiarity in working with Apache Pinot, Starburst Galaxy and similar analytics technologies or platforms - Experience building API-centric products - An engineering background - Experience building large language models (LLMs) - Experience in build vs buy analysis as well as the procurement process for new software platforms

 

You’ll love this job if you: - Are adaptable and enjoy change - we have all the opportunities and challenges an established yet rapidly growing company faces - Love learning - our industry and technology space is always evolving, the technologies we support are numerous - Are intellectually curious and value critical thinking - the Why behind the What is important to you - Focus on outcomes - Outcomes take priority over outputs

 

Compensation & Benefits The base salary that we reasonably expect to pay for this role is: $110,000 - $165,000. The actual base salary/hourly wage for this role will be determined by a variety of factors, including but not limited to: the candidate’s skills, education, experience, etc. Please note that base pay is one important aspect of a compelling Total Rewards package. The base pay range indicated here does not include any additional benefits or bonuses/commissions that you may be eligible for based on your role and/or employment type.


Regular full-time employees are eligible for benefits including but not limited to: Interns / full-time temporary / eligible variable hour employees are eligible for benefits including but not limited to:


Job tags

Hourly payFull timeTemporary work


Salary

All rights reserved