---
title: 'Senior Data Platform Engineer at Later'
canonical: 'https://feeny.ai/job/senior-data-platform-engineer-later-boston-rkadecm469e5'
type: 'job'
last_seen: '2026-10-17'
---

# Senior Data Platform Engineer at Later

- **Company:** Later
- **Location:** Boston, MA / Vancouver, Canada
- **Posted:** 2026-10-02
- **Last confirmed live:** 2026-10-17
- **Apply:** https://job-boards.greenhouse.io/later/jobs/8863354002

## Job description

Later is the world’s most intelligent influencer marketing company, built to give brands the confidence to create unforgettable campaigns. By combining real creator relationships, trusted intelligence, and expert guidance, Later removes fear and guesswork from one of marketing’s most visible investments.

Built on a native, AI-powered platform and more than a decade of proprietary data—including billions of social interactions, impressions, and $2.4B+ in verified influencer-driven purchases—Later helps teams understand what will work before they launch.

By combining trusted insight with expert guidance, Later removes guesswork from influencer marketing, enabling brands to choose the right creators, execute fully managed campaigns, and drive meaningful growth across awareness, engagement, and revenue. Trusted by leading enterprise brands including Nike, Wayfair, Unilever, and Southwest Airlines, Later bridges creativity and performance so campaigns don’t just look good—they deliver results. Learn more at [later.com](https://later.com/).

## About this position

As a Senior Data Platform Engineer at Later, you'll own the foundation our data ecosystem runs on. You'll design, build, and evolve the infrastructure, backend services, and platform capabilities that move data from source to decision, and that help engineers, analysts, and data scientists do their best work.

This is a data engineering role with a platform mindset. Our analytics platform runs on GCP and BigQuery, and our operational databases live in AWS. You'll shape how data moves between them, modernize what we have, and get our data ready for the AI-powered products we're building. You'll treat the platform as a product and the teams who depend on it as your customers.

This role is for someone who likes building the system more than the individual report or model. It isn't a traditional ETL/ELT role focused on SQL, dashboards, and pipeline maintenance, and it isn't an ML engineering or data science role. You'll build the data foundation that makes AI work, and other teams will build on top of it.

## What you'll be doing

Build, own, and evolve the data platform

- Design and own scalable infrastructure across ingestion, orchestration, storage, transformation, and consumption, including our BigQuery warehouse and lakehouse. Make architectural decisions, explain the tradeoffs, and modernize the parts that have outgrown their original design.
- Build reliable batch and real-time pipelines and dbt transformation layers. Evolve our orchestration (GCP-native tools plus our custom orchestrator) and shape our ingestion strategy, including how we evaluate Fivetran against custom connectors.
- Spot weaknesses in the platform and drive the fixes. Mentor other engineers and raise the technical bar.

Engineer backend systems and keep them reliable

- Build the APIs, services, and integrations that move data in and out of the platform, including secure, cost-aware data movement between GCP and AWS. Manage infrastructure as code and automate deployment with CI/CD.
- Build observability, data quality checks, and access controls, and optimize performance and cost. Create reusable tooling and standards that make the right way the easy way.

Build the foundation for AI

- Make trusted company data accessible for analytics, machine learning, and AI applications, including LLMs and AI agents. Invest in data quality, metadata, lineage, governance, and freshness.
- Design the platform to absorb new AI use cases without major rework, and partner with AI/ML, product, and engineering teams on what they need.

## What you'll bring

## Experience

- 6+ years in data engineering, backend engineering, or platform engineering, with a track record of owning production data systems at scale and improving their reliability, performance, and cost.
- Strong backend programming skills (Python or similar), solid SQL, and experience with dbt or a similar transformation framework.
- Hands-on cloud experience, ideally GCP and BigQuery, and comfort working across more than one cloud.
- Experience with infrastructure as code, CI/CD, and workflow orchestration.
- Experience with batch and streaming architectures, and a working understanding of security, access control, and data governance.
- The judgment to make architectural decisions and explain the tradeoffs to technical and non-technical partners.

## Nice to have

- Kubernetes, and experience migrating or redesigning orchestration systems.
- Managed ingestion tools like Fivetran.
- Experience building internal platforms or tooling that other engineers adopt.
- Data foundations for AI, such as vector stores, feature pipelines, or governed LLM access.

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. The salary range listed for this role reflects the zones that applies to the location of this posting.

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: For candidates located in the US: $125,000-205,000 USD For candidates located in the Canada: $110,000-160,000 CAD

We're committed to building an inclusive, supportive place where you can do the best and most rewarding work of your career. If this sounds like you, even if you don't check every box, we'd love to hear from you. Where we work:

We have offices in Boston, MA; Vancouver, BC; 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.

## About Later

## Company Overview
- **One-liner**: Later is a unified social media management and influencer marketing platform that helps brands schedule content, manage creators, and drive measurable revenue through AI-powered intelligence.
- **Entity Type**: Private (Privately Held; parent company Mavrck, LLC)
- **Headquarters**: Boston, Massachusetts, United States (hub cities also include Vancouver, BC; Chicago; and Vancouver, WA)
- **Founded**: 2014
- **Founders**: Not publicly disclosed (the company was formed through the merger of Later and Mavrck in 2024)

## Core Business
- Primary industry/industries: Marketing Services, Social Media Technology, Influencer Marketing
- Target customers: B2B – primarily enterprise brands, SMBs, creators, and influencer marketing teams
- Mission or purpose statement: To enable the world to make a living with their creativity; building the world’s first Social Revenue Platform™.

## Products & Services
- **Later Social™**: A social media management platform (SaaS) for scheduling posts across Instagram, TikTok, Facebook, X/Twitter, LinkedIn, YouTube, and Pinterest. Includes a first-to-market “link in bio” tool that has tracked over 1B transactions.
- **Later Influence™**: An influencer marketing platform (SaaS) that combines creator discovery, campaign management, and performance analytics. Uses Later EdgeAI to analyze creator behavior, trends, and purchase data.
- **Later EdgeAI**: An AI layer that powers creator selection, fair rate setting, and campaign optimization based on proprietary data from billions of social interactions and $2.4B+ in verified influencer-driven purchases.
- **Managed Services**: Full-service influencer campaign management for enterprise clients, including creator vetting, brand safety checks, and performance reporting.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed
- **Key Metric**: $2.4B+ in verified influencer-driven purchases; 1B+ link-in-bio transactions tracked; 136B annual impressions from scheduled posts (self-reported). Estimated annual revenue of $5.4M (per third-party data, not officially confirmed).
- **Total Funding**: $3.8M across 4 rounds (per LinkedIn, likely from earlier stage; company has not disclosed recent rounds)
- **Notable Investors/Partners**: Official integrations with Meta, TikTok, X/Twitter, LinkedIn, YouTube, and Pinterest. Trusted by enterprise brands including Nike, Wayfair, Unilever, and Southwest Airlines.
- **Growth Signals**: 390 employees (+14% YoY); 60+ active job postings; expanded to 13 countries; recent merger of Later and Mavrck to create a unified platform.

## Competitive Advantages
- **Proprietary Data Moat**: Access to billions of social interactions, $2.4B+ in verified purchase data, and 1B+ link-in-bio transactions – providing unique insights into creator performance and consumer behavior.
- **AI-Powered Intelligence**: Later EdgeAI combines creator behavior, trending content, and purchase data to reduce guesswork in campaign planning.
- **Unified Platform**: Only solution that bridges social media management (scheduling, link in bio) with influencer marketing (creator discovery, campaign management) under one roof.
- **Platform Partnerships**: Deep integrations with all major social networks, giving users direct API access for scheduling and analytics.

## Strategic Focus
- **Social Revenue Platform™**: Unifying social media managers, influencer managers, and creators into a single collaborative environment to drive predictable ROI.
- **AI & Automation**: Continuing to invest in AI to automate creator selection, rate negotiation, and performance forecasting.
- **Enterprise Expansion**: Growing enterprise client base (Nike, Wayfair, Unilever, Southwest Airlines) and scaling managed services.
- **Creator Monetization**: Building tools that help creators earn directly through affiliate marketing and brand collaborations.

## Why Work Here
- **Culture & Values**: Emphasizes innate curiosity, customer obsession, fearless honesty, succeeding together, and working hard. Committed to diversity, inclusion, and accessibility.
- **Work Environment**: Hybrid work model with hub offices in Boston, Vancouver (BC), Chicago, and Vancouver (WA). Flexible paid time off and competitive healthcare benefits.
- **Learning & Development**: Offers learning opportunities and market-competitive compensation.
- **Employee Sentiment**: Glassdoor rating of 3.1/5 (170 reviews) – with strengths in compensation (3.6) and weaknesses in work-life balance (3.1) and career growth (3.3). Note that reviews may reflect pre-merger entities.
- **Growth Opportunity**: Rapidly scaling company (14% headcount growth) with active hiring across sales, partnerships, product, engineering, and creator success.

## Sources
1. [later.com](https://later.com/) – Product descriptions, key metrics, partnerships
2. [Later Careers Page (Greenhouse)](http://job-boards.greenhouse.io/later) – Job listings, values, commitment to diversity
3. [LinkedIn Company Page](https://www.linkedin.com/company/later-official) – Employee count, funding, revenue estimate, recent departures
4. [Built In Profile](https://builtin.com/company/later-latercom) – Office locations, total employees, year founded

## Other roles at Later

- [Senior Analyst, Client Analytics](https://feeny.ai/job/senior-analyst-client-analytics-later-boston-2s7009670apm) — Boston, MA
- [Data Science Co-op](https://feeny.ai/job/data-science-co-op-later-vancouver-79sw5kgf49t9) — Vancouver, Canada
- [HR Coordinator Co-op](https://feeny.ai/job/hr-coordinator-co-op-later-boston-ghwwxxj6tdv9) — Boston, MA
- [Social Media Content Coordinator Co-op - Corporate Marketing](https://feeny.ai/job/social-media-content-coordinator-co-op-corporate-marketing-later-boston-jx0c7q6b0hcs) — Boston, MA
- [Data & Analytics Co-op](https://feeny.ai/job/data-analytics-co-op-later-boston-sgnzk22rhnk5) — Boston, MA
- [Senior Manager, Social & Integrated Campaigns](https://feeny.ai/job/senior-manager-social-integrated-campaigns-later-boston-rrmgxqw6jmcx) — Boston, MA / Chicago, IL / Los Angeles, CA / New York, NY / Vancouver, Canada / Vancouver, WA
- [Talent Partnerships Senior Account Coordinator](https://feeny.ai/job/talent-partnerships-senior-account-coordinator-later-boston-b1qw940w76cx) — Boston, MA / Chicago, IL / Los Angeles, CA / New York, NY / Vancouver, Canada / Vancouver, WA
- [Account Supervisor, Social Media](https://feeny.ai/job/account-supervisor-social-media-later-boston-fn1qzbm6ktj8) — Boston, MA / Chicago, IL / Los Angeles, CA / New York, NY / Vancouver, Canada / Vancouver, WA
- [Creator Campaigns Recruiter Co-Op](https://feeny.ai/job/creator-campaigns-recruiter-co-op-later-boston-41xm6qae6xtp) — Boston, MA
- [Senior Engineer (Platform)](https://feeny.ai/job/senior-engineer-platform-later-boston-f74dy9a9hasw) — Boston, MA / Vancouver, Canada / Vancouver, WA