Data Engineering Senior Manager, Imprint
$220-230k
+ Equity Packages
Branded payments and rewards products
Be an early applicant
Branded payments and rewards products
201-500 employees
Be an early applicant
$220-230k
+ Equity Packages
201-500 employees
Company mission
To make payments better for modern brands and their customers.
Role
Who you are
- Experience introducing AI-assisted workflows at scale
- Experience in a high-growth startup, fintech, or another environment where data correctness and reliability are critical
- A track record of building and leading high-performing data or analytics engineering teams, including hiring exceptional talent, developing engineers, managing performance, and growing senior technical leaders
- Deep expertise in analytics engineering with dbt, with experience turning complex business domains into data models that are understandable, reusable, and trusted
- Strong technical judgment. You can evaluate data models and architecture, identify unnecessary complexity, challenge your team's thinking, and provide direction without needing to personally implement every solution
- Strong SQL fluency and enough familiarity with Python and modern software engineering practices to engage deeply with the team's technical work
- The ability to move comfortably between strategy and detail, pairing strong opinions with intellectual curiosity and first-principles thinking
What the job involves
- The Data Engineering team at Imprint builds the foundation that enables teams and systems across the company to understand, trust, and use data
- We own the core data platform, development patterns, and standards behind Imprint's enterprise data warehouse, partnering closely with Infrastructure and with teams across the business
- As Imprint scales, one of our biggest data challenges is turning an increasingly complex business into data that is consistent, understandable, and easy to use by machines or people
- Doing that well requires great analytics engineering: clear models of the business, strong definitions and abstractions, and systems that make high-quality data development repeatable
- We don't believe the answer is simply adding more Data Engineers
- We want to build a platform that gives domain experts across Imprint the tools and guardrails to contribute safely and independently—allowing us to dramatically increase the pace of analytics engineering without making Data Engineering a bottleneck
- We're looking for a Data Engineering Senior Manager to lead this next phase of our Data Engineering organization
- You will build and develop a high-performing team, raise the bar for analytics engineering, and create the platform and development model that allow high-quality data development to scale across Imprint
- This is a people leadership role for someone with deep technical judgment
- You won't carry an individual contributor roadmap, but you should be comfortable getting into the details, challenging assumptions, and helping the team reason from first principles about data modeling, architecture, and engineering practices
- Build and lead an exceptional Data Engineering team. Hire great engineers, coach and develop the team, grow senior technical leaders, set a high performance bar, and create a culture of ownership and continuous improvement
- Use AI to increase both speed and quality. Develop and implement a point of view on how AI can improve the full analytics engineering lifecycle, from stakeholder engagement, team management, to design and development
- Set the technical direction for Data Engineering. Bring strong opinions grounded in experience while encouraging first-principles thinking. Guide architectural decisions and ensure the team builds systems that are simple, scalable, reliable, and appropriate for the problems we're solving
- Partner across the company. Work closely with Infrastructure, Analytics, Data Science, Product, Engineering, Finance, and other teams to understand how the business works, define clear ownership, and build a data ecosystem that enables teams to move faster and make better decisions
- Shape the future of the Data organization. Partner with the Head of Data on organizational design, hiring, roadmap prioritization, and the investments needed to support Imprint's continued growth
- Make Imprint's data legible. Lead the evolution of our enterprise data warehouse into a clear, consistent, and trusted representation of how Imprint's business works. Ensure important business concepts have well-designed models, clear definitions, and intuitive relationships that make our data easier to understand and use
- Raise the bar for analytics engineering. Establish strong principles and patterns for data modeling, transformation, testing, documentation, and ownership across our dbt and Snowflake environment. Create the technical standards that allow our data models to remain coherent as the business grows more complex
- Scale analytics engineering beyond the Data Engineering team. Create a development model where domain experts can turn their knowledge into high-quality, reusable data models without Data Engineering sitting in the critical path. Define the right boundaries, abstractions, review processes, and ownership model to make distributed contribution successful
- Build the platform that makes this possible. Partner closely with Infrastructure to create the tooling, workflows, and guardrails that make contributing to our enterprise data warehouse fast and safe. Make the right way the easiest way
Our take
These days, all sorts of cards abound, from virtual cards to co-branded credit cards. Imprint aims to stand out in the increasingly crowded space by partnering with businesses to provide branded rewards cards for customers.
While there has been an increase in the number of companies offering branded financial products to reduce costs, Imprint sees its card programs as offering a new platform for deepening customer relationships: less of the nastiness of credit and a much greater focus on rewards.
The startup is focusing on refining its embedded finance solution to fulfil its vision of an Apple-pay like experience for merchants and consumers.
Imprint will hope that its lightweight service, fit for smaller customers like hotel chains, will allow it to compete with the major venture-backed players in the space like Cardless, Apto and Alviere. And its $75M in venture capital raised in 2023 is going some way towards achieving these aims.
Freddie
Company Specialist at Welcome to the Jungle
Insights
103% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Dec 2025
$150m
SERIES D
Oct 2024
$75m
SERIES C
Total funding: $353m
Company HQ
Little Italy, New York, NY
Leadership
Daragh Murphy
(Founder & CEO)Previously VP of Operations & Strategy at WeWork. They were a Junior Partner at McKinsey until 2018. Originally trained as a Lawyer at Duke University, before working as a Corporate Lawyer at WilmerHale.
Mariana Pali Coontz
(COO & CFO)Prior to joining Imprint in 2023, Mariana was the Chief Financial and Operating Officer at DigniFi. They also spent 8 years at Synchrony in roles including Head of Capital Strategy & Stress Testing and SVP, Head of FP&A and nearly 11 years at JPMorgan Chase & Co in roles including Treasury Associate and Executive Director.
Will Larson
(CTO)Prior to joining Imprint in 2025, Will was the CTO at Carta and Calm. They were also the Head of Foundation Engineering at Stripe and a Senior Engineering Manager, Infrastructure at Uber.
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