Later · 1 day ago
Principal Product Manager, Data Product & Data Science
Chicago, Illinois, United States
Full-time
Hybrid
Lead/Staff
$210K/yr - $250K/yr
8+ years expLater is the enterprise leader in social media and influencer marketing software, services, and data. As Principal Product Manager, Data Product & Data Science, you will own the strategic data product roadmap that powers how creators are understood, evaluated, and matched to the right brand opportunities.
AppsiOSMarketing
Responsibilities
Own and evolve the end-to-end creator data product strategy, spanning data acquisition, enrichment, modeling, quality, and insight generation
Define and maintain a long-term roadmap that improves the breadth, depth, freshness, and reliability of creator and audience data across all internal and external sources
Identify high-leverage data opportunities that unlock differentiation for Sales, Strategy, and Agency teams—turning data into a compelling narrative brands can buy into
Translate ambiguous business problems into clear data product bets, success metrics, and sequencing decisions
Partner closely with Data Engineering and Data Science to shape schemas, pipelines, models, and feature sets that support scalable data products
Drive improvements to creator-level data including (but not limited to): social content signals, audience attributes, campaign performance metrics, Link in Bio behavior, commerce outcomes, and historical brand partnerships
Define and track a Data Quality Score and related KPIs that quantify completeness, accuracy, timeliness, and usability
Work hands-on with datasets using SQL and analytics tools to validate assumptions, explore opportunities, and pressure-test solutions
Guide development of data-derived insights that improve brand–creator matching, campaign planning, and performance prediction
Serve as a trusted product partner to Strategy, Sales, Agency/Services, Search, Campaigns, Reporting & Analytics, and Platform Services teams
Align cross-functional stakeholders around shared definitions, priorities, and tradeoffs for data initiatives
Act as the connective tissue between technical teams and business leaders—ensuring data products are both technically sound and commercially meaningful
Influence without authority, using clarity, data, and strong product judgment to move teams forward
Set a high bar for data product thinking, rigor, and storytelling across the Product organization
Mentor other product managers on data literacy, experimentation, and outcome-oriented product discovery
Champion a culture of curiosity, accountability, and customer-driven decision-making
Stay ahead of emerging trends in data products, applied ML, creator analytics, and measurement
Continuously assess new data sources, modeling approaches, and tooling that could strengthen Later’s competitive position
Bring external best practices into the organization while adapting them to Later’s scale and business model
Qualification
Required
8+ years of product management experience, with meaningful ownership of data-heavy or platform-level products
Demonstrated experience building or scaling data products, not just dashboards—schemas, pipelines, signals, or models that power downstream use cases
Hands-on comfort with data tools and concepts (e.g., SQL, BigQuery, analytics workflows) and the ability to engage deeply in the details
Experience working alongside data science teams on algorithms, modeling, or applied ML—even if you were not the primary model builder
A proven ability to zoom out to the strategic narrative and zoom in to the weeds when necessary
Strong stakeholder management skills and a track record of influencing senior leaders in ambiguous environments
Preferred
Experience at a data-first or analytics-driven company
Exposure to social platforms, creator economy products, advertising technology, or agency environments
Familiarity with programmatic advertising, marketplace dynamics, or matching/recommendation systems
Benefits
Eligible to participate in various benefits plans as part of their overall compensation package
Company
Later
Later is the world’s first Social Revenue Platform
201-500 employees
H1B Sponsorship
Later has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2)
Funding
Current Stage
Growth StageTotal Funding
$1.3MKey Investors
Aspect Ventures
2022-04-27Acquired
2015-09-01Seed
2014-12-27Seed· $1.3M
Leadership Team
Ian MacKinnon
Co-Founder/Chief Technology Officer
Recent News
Company data provided by crunchbase