About the team:
The mission of our Data Team is to create a trusted data ecosystem that fuels innovation. We have projects underway and on our roadmap that touch upon each part of this mission: improving trust in our data through proactive data governance and a significant overhaul of our data warehouse; improving our data ecosystem through enhancing and potentially migrating to more effective data tools; and fueling innovation by building net-new data capabilities that unlock performance and customer experiences such as near real-time data procssing. We are seeking a Principal Product Manager to own the creation of data products that serve our business and our customers and transform the ability of our team to deliver information and insights across the company.
Our Data Team comprises ~60+ data practitioners with skills in data platform engineering, analytics engineering, data analysis and reporting, decision science, machine learning, ML Ops, and GenAI. This Technical Product Manager role would add a critical skill set in data product development, enabling our team to build more proactive data solutions to drive our business and create great customer experiences.
About the Role:
We are seeking a versatile and inquisitive Technical Product Manager with experience in near real-time platform development, data governance, data warehouse design, or data platform migration to bring a data product development mindset to some of our more transformative data initiatives. The specific focus area for this individual will be tailored to the skillset of the person chosen to fill this role.
The ideal candidate will have strong product management skills and deep knowledge of data tooling, data engineering, and critical aspects of data product specifications. Additionally, they will have experience applying best practices in project management and technical considerations, ensuring successful project delivery while navigating complex data challenges.
Here’s what you’ll do day-to-day:
- Own the development of a key data product or transformation of a data resource that fundamentally changes our capabilities as a Data Team, for example:
- Transform our data warehouse into a consistent, efficient, documented, and trusted resource that is self-maintaining and can support self-serve and GenAI-powered tools with minimal custom knowledge
- Make it possible to perform complex data processing on a platform outside of our main app with millisecond latency
- Help design and create a customer intelligence platform that can be used by human and digital processes to communicate key information to our customers consistently on all surfaces.
- Identify critical issues and risks in our data organization, establish a vision of our future state, communicate a strategy to achieve this vision, and collaborate with the Data Team and cross-functional partners to incorporate these into roadmaps.
- Transform ambiguous problems by working with key stakeholders and leadership to create programs with clear objectives, scope, and timelines.
- Translate program objectives and scope into detailed project plans with defined workstreams, milestones, desired outcomes, and success metrics.
- Collaborate effectively with other groups, including data analytics, data science, engineering, and product.
- Create processes for collecting user feedback and prioritizing requests across multiple teams and stakeholders at Gusto.
- Manage product deliverables on key initiatives and provide transparency to stakeholders.
- Understand stakeholder needs, including internal teams, external customers, and partners, to align with business objectives and define program goals, desired outcomes, and success metrics.
Here’s what we're looking for:
- 7+ years of product management with 4+ years related to data governance, data products, data warehouses, data ecosystems, and/or data infrastructure
- Strong collaboration skills and ability to communicate effectively with highly technical engineers, data practitioners, and non-technical stakeholders.
- Ability to engage at high-level vision and strategy, but also down to user stories that deliver value incrementally
- Deep knowledge and prior experience in at least one of our key project areas:
- Data Governance concepts include different approaches to data warehouse organization, naming conventions, automated data documentation, and differences between data warehouses and related system vendors (e.g., Redshift, Snowflake, Data Bricks, BigQuery, etc.).
- Real-time or near real-time data platform development includes the pros and cons of potential tech stack choices, connecting use cases to specifications, and pragmatic tradeoffs of scale, speed to build, latency, concurrency, durability, cost, and functionality.
- Familiarity with Data Management concepts such as Data Ownership and Stewardship, Data Lifecycle, and practical application to business problems
- You use data to inform your decisions and are comfortable with performing quick analyses and building out longer-term initiatives through dashboards.
At Gusto, we strive to provide rewards that empower employees to achieve their financial and personal goals. We offer competitive compensation packages with a strong emphasis on equity-based compensation (ownership in Gusto). To learn more about Gusto’s compensation philosophy and benefits offerings, please view our Total Rewards Approach page.
Our cash compensation range for this role is $181,000/yr to $223,000yr in Denver & most remote locations and $212,000/yr to $262,000/yr in San Francisco, Seattle & New York. Final offer amounts are determined by multiple factors, including candidate experience and expertise, and may vary from the amounts listed above.
