TL;DR

Principal Product Manager, Data Product & Data Science: Owning the strategic data product roadmap that powers how creators are understood, evaluated, and matched to the right brand opportunities with an accent on data acquisition, enrichment, modeling, quality, and insight generation. Focus on identifying high-leverage data opportunities and translating ambiguous business problems into clear data product bets.

Location: Boston, MA; Vancouver, BC; Chicago, IL; and Vancouver, WA. For select positions, we are open to hiring fully remote candidates.

Salary Range: $210,000 - 250,000 OTE

Company

%hirify_global% is the enterprise leader in social media and influencer marketing software, services, and data, trusted by leading brands and agencies worldwide.

What you will do

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.
Partner closely with Data Engineering and Data Science to shape schemas, pipelines, models, and feature sets that support scalable data products.
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.

Requirements

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.
Strong stakeholder management skills and a track record of influencing senior leaders in ambiguous environments.

Nice to have

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.

Culture & Benefits

Driven by Impact: You deliver results that matter—prioritizing high-value work, meeting deadlines, and adapting quickly while keeping outcomes clear.
Strategic & Customer-Centric: You anticipate risks and opportunities, connect decisions to long-term growth, and build trust through proactive insights.
Curious & Growth-Oriented: You seek knowledge, ask sharp questions, and apply learnings fast—challenging the status quo with a mindset of improvement.
Collaborative & Resilient: You thrive in change by staying resourceful, solution-focused, and positive—removing roadblocks, sharing insights, and keeping morale high.
Accountable & Honest: You own your work, hold yourself and others to a high bar, and use transparent feedback to drive growth.
Emotionally Intelligent: You build trust through empathy and collaboration, foster inclusion, and inspire others with grit, optimism, and integrity.