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.
We’re trusted by the top social platforms, with partnerships and integrations with Meta, TikTok, X/Twitter, LinkedIn, YouTube, and Pinterest.
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 now on a mission to build the world’s first Social Revenue Platform.
Later will be the first inclusive platform where social media managers, influencer managers, and creators can come together to collaborate on content. 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.
As a trusted partner and go-to source for social media advice, we help create an engaged community for reliable performance and repeatable growth.
About this position:
Later is seeking a strategic-minded professional to take on the Senior Manager, Data Operations role responsible for managing and driving the Company's data engineering, business intelligence, and data science function. This individual will play a key leader in our orgization but will also be hands-on in implementing and refining our processes and data.
Reporting to the Vice President of Revenue Operations, you will play a critical role in advancing Later’s data-driven initiatives, Refining and driving our internal repointing and analytics strategy, and owning the centralized warehouse for ops and finance reporting.
If you’re a player and a coach, passionate about data that drives a company forward, and want to make an impact, we want to hear from you.
What you'll be doing:
Leadership
- Oversee the hiring and training of new and existing staff, conduct performance reviews, and provide leadership, technical guidance, and coaching to staff.
- Build organizational talent by creating a learning environment that ensures employees realize their highest potential.
- Collaborate with the product, sales and marketing, operations, finance, and IT teams on prioritized technical solutions.
- Provide technical leadership in data architecture, ensuring the best data modeling, storage, and retrieval practices.
- Facilitate the best practices in Master Data Management across the company.
- Manage your team’s sprint goals, stories, and deliverables.
- Effectively convey the company’s strategy and vision to the data team and enable the team through organized meetings, coordinated initiatives, and cross-team coordination.
- Ensure Process and Procedural documentation is accurate and updated.
Data Strategy & Infrastructure
- Champion utilization of business intelligence technology across business functions. Lead and develop an enterprise approach to operational analytics, data visualization, analysis, and modeling.
- Ensure GCP architecture is appropriately set up to enable ease of data flow from disparate applications across the enterprise.
- Oversee the integration of data sources to create a unified and comprehensive view of company performance.
- Develop and maintain a comprehensive tag management strategy, ensuring accurate data collection and adherence to best practices.
- Drive the design and optimize data visualization tools to provide actionable insights that enhance business decision-making.
Problem Solving & Collaboration
- develop strategies to leverage data for operational metrics, sophisticated data analysis, and advanced data modeling to solve business problems.
- Ensure the Data Science team's solutions clearly reflect and effectively solve the business problem in question. Perform code reviews as required.
- Manage a portfolio of business intelligence projects to ensure on-time delivery.
- Troubleshoot data-related issues, identify root causes, and direct solutions to prevent recurrence.
- Comfortable with ambiguity and flexible to work in a fast-paced, fluid environment where formal requirements or guidelines may not always be readily available.
- Collaborate with multiple departments to track requirements and performance, generate insights, and help create a Data roadmap to Impact Overall Company outcomes.
What we are looking for:
- 6-8+ years of experience in data management, analytics, or related roles
- 3+ years of leadership experience building, managing, and leading high-performing, diverse, collaborative, and geographically distributed data teams.
- Bachelors or Master's in Statistics, Computer Science, Math, Physics, Econometrics, or other technical fields.
- Strong understanding of data pipeline and automation tools, data governance, and enterprise-level systems
- Experience with segment.io, Mode, Stitch, and Google Big Query
- Experience with AWS/GCP cloud services such as GCS/S3, Lambda/Cloud Function, Athena, and DynamoDB
- Strong understanding of data modeling concepts and best practices.
- Experience with agile development frameworks, systems integrator models, and cloud-based platforms for software, analytics, and data management following the SLC process and procedure.
- Passionate about data and the technology industry -- you care deeply about data 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 granted stock options and are eligible to participate in various benefits plans as part of their overall compensation package.
Salary Range: $140,000 - 165,000 CAD
Some perks of being on our team:
- Flexible PTO: We want you to take the time off when you want or need to recharge!
- Learning & Development: We provide growth opportunities through training, coaching, mentorship programs, and workshops.
- Parental benefits: We offer parental leave top-ups, family forming support, and a life-transitions program to ensure you and your family are well supported when returning to work.
- Healthcare: Our comprehensive benefits package includes health, dental, vision, STD & LTD, 401k contribution plans (US-based employees), and an Employee and Family Assistance Program to support the well-being of you and your family.
- Employee Resource Groups: Belonging is an important part of doing your best work. These ERGs provide support and community for employees.
*Co-op team members are not eligible for company benefits.
Where we work
We hire into our hub cities of Boston, MA; Vancouver, BC; Toronto, ON. We also have team members based remotely for select positions. We post our positions in the hub location(s) where we are open to having the successful candidate be located.
Diversity, inclusion, and accessibility
We value diversity of thought; 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.
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