Staff Technical Product Manager-Internal Tools & Platforms
New York, NYAll locationsNew York, NYUnited States Remote
$140,000–$170,000 a yearJobFig found this opening at its original source and checks that it remains available.
About the role
As a Staff Product Manager, you will take on complex, ambiguous problems and address them by developing and launching internal tools to support operations now through post-SOP. This is a hands-on individual contributor role reporting to the Senior Manager of Digital Products. You will work across products at varying stages of maturity, often without a clearly defined problem space at the outset. This is a hands-on individual contributor role reporting to the Senior Manager of Digital Products. You will work across products at varying stages of maturity, often without a clearly defined problem space at the outset. We are hiring for the ability to operate across domains, get up to speed quickly, and bring structure to the unstructured. Residing in New York City : This role is not eligible for remote work in New York City.
What you'll bring
- We expect all Scout employees to have integrity, curiosity, resourcefulness, and strive to exhibit a positive attitude, as well as a growth mindset.
- You’ll be comfortable with change and flexible in a fast-paced, high-growth environment.
- You’ll take a collaborative approach to achieve ambitious goals.
- 7+ years of product management experience, with a track record of supporting a range of product types or business domains over the course of your career.
- 3+ years of experience leading enterprise-scale platforms.
- You should have a track record of shipping technical products that serve both end-customer experiences and internal operational users, including products you stood up from scratch and products you inherited and evolved.
- The ability to manage products holistically from data models and backend services through to the UI and the user experience that sits on top of them
- Integration patterns with third-party APIs and internal source-of-truth systems
- Operational considerations for systems that handle customer and payment data responsibly
- Current best practices for building AI features in enterprise environments, with attention to the needs of business users and the operational realities of deploying AI into established workflows
- You do not need to be an engineer, but you should be fluent enough in these areas to make sound architectural tradeoffs, push back on technical decisions when warranted, and earn the trust of senior engineers.
- High tolerance for ambiguity, and the ability to bring structure to undefined problem spaces without prematurely closing off options