Compensation Overview

About The Team

At Lob, we love data: we believe that data is one of the most important advantages we have in an industry that’s ripe for innovation. From internal teams to external customers, we’ve seen the incredible power data has to offer and are ready to take this effort to the next level as we transform the direct mail and print industry by building data products.

This role will lead a team of data engineers, scientists, and analysts, cultivating the existing foundation of data products across the whole of Lob. Our work interfaces with stakeholders from product, operations, finance, and the leadership team as well as external customers. In the first six months, you’ll develop and refine a data strategy for Lob and lead the team on execution of key data products.

As Senior Engineering Manager, Data you’ll...

• Craft a vision and direction for data products at Lob–our leadership team believes that data is one of the key value props we bring to an industry ripe for technological disruption and you’ll help chart the course towards realizing that
• Partner with our cross-functional stakeholders to design clear interfaces, such as SLOs and SLAs, that both meet their needs of and align the team with our larger strategic vision
• Improve visibility into our data systems, giving our team and external teams, clear views into operational state and confidence in the accuracy and reliability of data
• Lead Lob’s push to use data to show ROI for our customer’s mail usage. This includes helping us solve for attribution and conversion across different channels (postal mail, email, sms, ads)
• Guide your team to execute on key initiatives such as mailpiece trackability, partner deliverability goals, and other workstreams aligned with company goals
• Deliver a reliable, scalable, and modern data system built on top of industry best practices (we use Airflow, DBT, and a data lake pattern, for example) 
• Improve processes--project management, sprint management, stakeholder visibility--to help the team operate effectively
• Be a coach and enabler for your team, you’ll empower them, rather than tell them what to do. We see engineering management as a support role: you will help your team build problem-solving muscle by practicing active listening, asking good questions, and giving actionable, timely, kind, and direct feedback 
• Engage, retain, and grow great problem-solvers and collaborators. You’ll be responsible for building diverse, inclusive teams, where everyone feels comfortable and safe being themselves at work; psychological safety is a first-order goal

What you will bring to this role...

• At least 4 years of experience as a manager with a growth-oriented mindset. We’d love to hear how you’ve led teams through various stages of growth
• A track record of successful data product delivery in a variety of fast-moving environments. You’ve done engineering work at the senior level, solving complex technical challenges at scale. You’ve had to weigh difficult trade-offs and live with your decisions, and you can tell us what you’ve learned from them
• Some experience preferred working with a modern data stack, including Airflow, DBT, data lake patterns, etc
• Great communication skills. You should be able to explain your approach and the impact of your work to non-technical stakeholders in a way that is clear to them
• You seek to support your team, your stakeholders, and the company more broadly as a first-order consideration
• Since great technologists come from diverse backgrounds, it doesn’t particularly matter if you have a specific degree—we want to hear about your contributions in a business setting
• A love for the domain and an appreciation for educating others about the hidden power of data products

Compensation information

CA/NYC Tier:

Base: $190,000 - $220,000

US Tier:

Base: $180,000 - $207,500

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