Principal Product Manager, Data Product & Data Science
Later
Later is the enterprise leader in social media and influencer marketing software, services, and data, trusted by leading brands and agencies worldwide. Following our acquisition of Mavely, the Everyday Influencer Platform®, Later enables brands to scale creator partnerships from nano to premium influencers while managing social media content and campaigns across all major social and affiliate networks. Through proprietary performance data, marketing leaders can drive attributable sales and optimize social commerce with our software platform or award-winning services.
Later is founded on two success stories that began in 2014: Mavrck, the industry-leading influencer marketing solution (now Later Influence™), and Later, the best social media management platform (now Later Social™) and first-to-market link in bio tool, Later Link in Bio. In 2024, Mavrck and Later officially joined together as one unified business, with a shared vision: to enable the world to make a living with their creativity.
We’re trusted by the top social platforms, with partnerships and integrations with Meta, TikTok, LinkedIn, YouTube, and Pinterest.
We enable marketers to create high-performing content and engage in authentic collaborations with creators to reach new audiences, drive engagement, and generate predictable ROI.
About this position:
Later’s biggest opportunity in the creator economy is turning our unique, multi-source creator data into meaningful intelligence that drives better outcomes for brands, creators, and our internal teams. 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.
This is a net-new, highly visible role reporting directly to the Chief Product Officer. You will operate at the intersection of product strategy, data engineering, data science, and go-to-market teams—shaping how raw data becomes trusted signals, differentiated insights, and defensible competitive advantage across Later’s platform, agency, and services offerings.
What you'll be doing:
Strategy
- 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.
Technical/ Execution
- 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.
Team / Collaboration
- 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.
Leadership
- 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.
Research/Best Practices
- 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.
What success looks like:
- Measurable improvement in creator data quality, coverage, and freshness, reflected in a consistently rising Data Quality Score.
- Internal teams trust and actively use creator data to make decisions about matching, pricing, strategy, and campaign design.
- Brands see clearer differentiation in how Later helps them identify the right creators—not just popular ones—for their goals.
- Sales and Strategy teams are equipped with data-backed stories that elevate conversations from execution to insight.
- Product, Data Engineering, and Data Science teams operate with shared clarity on priorities, metrics, and outcomes.
What you bring:
- 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.
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.
How you work:
- 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.
Our approach to compensation:
We take a market-based & data-driven approach to compensation. We leverage data from trusted third-party compensation sources to help us understand the market value of a role based on function, level, geographic location, and scope. We evaluate compensation bi-annually, including performance and market-related factors.
Our salaries are benchmarked against market Total Cash Compensation for the geographic location of our job posting. Compensation for some roles is structured as On Target Earnings (OTE = base + commission/variable) while for others it is structured as Salary only.
To comply with local legislation and ensure transparency, we share salary ranges on all job postings. Skills, experience and other factors help determine the final salary we offer which may vary from the original range posted.
Additionally, all permanent team members are eligible to participate in various benefits plans as part of their overall compensation package.
Salary Range:
$210,000 - 250,000 OTE
#LI-Remote
Where we work:
We have offices in Boston, MA; Vancouver, BC; Chicago, IL; and Vancouver, WA. For select positions, we are open to hiring fully remote candidates. We post our positions in the location(s) where we are open to having the successful candidate be located.
Diversity, inclusion, and accessibility:
At Later, we are committed to fostering a culture rooted in an inclusion-first mindset at every level of the company, embracing the importance of hiring and building teams for culture add rather than culture fit. We openly build and maintain unbiased hiring, pay, and promotion practices to create a foundation for an equitable workplace, paving the way for systemic change.
We are committed to creating a diverse environment and are proud to be an equal opportunity employer. All applications will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, national origin, disability, or age. Please let us know if you require any accommodations or support during the recruitment process.
