Everyone deserves a home they love. We help make the search simple.
The Role
Lead combined Analytics Engineering and Data Engineering teams owning the end-to-end data roadmap from ingestion to trusted metrics. Manage hiring and performance, set architecture and platform investments, enforce testing/monitoring/documentation standards, review technical decisions, and partner with product and business stakeholders to translate needs into prioritized deliverables.
Summary Generated by Built In
Who we are
About the Role
Here's what you'll do as part of the team
Here are the skills and experience you'll need to be successful
Here's the Pay Range:
Apartment List is the premier rental matchmaker, connecting ready-to-move renters with compatible city properties. Our renters benefit from cutting-edge technology and a personalized approach when we match them with curated properties that fit their wishlist. Meanwhile, our supply partners harness our generative AI and machine learning to efficiently connect with our qualified renters. With performance-based pricing, our partners' success is our success as we strive to deliver renters a home they love at the value they deserve.
Apartment List's data platform and the analytics built on top of it have grown up as two closely related but separately-run disciplines: one team owns the pipelines and infrastructure that get data in, the other owns the models and metrics that turn it into something the company can act on. This role exists to unify that work under one leader who is accountable for the full path from raw data to trusted table: pipeline architecture, platform investment, and the modeling and metrics layer stakeholders actually use.
You'll manage the Analytics Engineering and Data Engineering teams directly, set the technical roadmap for both, and be the first line of judgment on architecture, tooling, and platform tradeoffs. This is a hands-in-the-work leadership role: you'll review pipeline and modeling decisions, not just project plans, and it's built to grow: as the combined function scales, so does the scope of this role.
- Own the end-to-end technical roadmap for Data & Analytics Engineering, from ingestion and pipeline architecture through to the modeling layer and the tables and metrics stakeholders rely on, and prioritize it against real business need.
- Directly manage and develop Analytics Engineers and Data Engineers, setting clear expectations, running regular 1:1s, and owning hiring, growth, and performance decisions for both disciplines.
- Make and defend the case for platform and architecture investments (orchestration, warehouse cost, CI/CD, data access, tooling) before they become blockers
- Set and uphold standards for testing, monitoring, documentation, and code quality, and be the escalation point for the hardest architectural or production issues.
- Partner directly with Product, Data Science, Marketing, and other business stakeholders to translate ambiguous data needs into a scoped, sequenced roadmap, and communicate tradeoffs clearly to technical and non-technical audiences alike.
- Represent the team's priorities, risks, and investment needs in cross-functional and leadership planning.
Must-haves:
- Experience directly managing data engineers and/or analytics engineers, including hiring, coaching, and performance management.
- Experience leading end to end data production, from platform to analytics mart.
- Hands-on data infrastructure experience: designing or making architectural tradeoffs in pipeline orchestration, warehousing, and platform reliability, deep enough to review others' architecture decisions and make the final call.
- Hands-on experience with SQL-based modeling sufficient to evaluate modeling and metrics decisions, not just pipeline and platform work.
- A track record of setting technical roadmaps and making an investment case to leadership, not just executing against a roadmap set by someone else.
- Demonstrated ability to evaluate and communicate architectural and modeling tradeoffs (freshness vs. cost, scalability vs. simplicity) to both technical and non-technical stakeholders.
- Experience partnering with non-technical stakeholders to define metrics and resolve conflicting data priorities across teams.
Nice-to-haves:
- Experience managing both a data engineering and an analytics engineering function specifically, rather than one or the other.
- Experience owning a BI/semantic layer tool (Looker, Tableau, or similar) as a product, including cross-team data model standards.
- Experience introducing AI-assisted tooling into engineering or analytics workflows at a team level.
- Background in marketplace, real estate, subscription, or performance marketing data models.
At Apartment List, we carefully consider a variety of factors to determine compensation for each position, including the role, level, and work. The US Total Target Compensation (TTC) for this position is:
- Zone 1: $202,000 - $245,000 TTC (including $177,000 - $208,000 base salary) + equity
- Zone 2: $187,000 - $226,000 TTC (including $164,000 - $192,000 base salary) + equity
- Zone 3: $171,000 - $208,000 TTC (including $150,000 - $177,000 base salary) + equity
This reflects the compensation target for new hire salaries for the position across all US locations. Please note, the compensation details provided do not include benefits and perks that we offer.
We also rely on market indicators along with considering your work location, job related skills, experience and relevant education and training, to determine compensation that is fair and competitive for you. Apartment List will consider paying compensation near the higher of the range in exceptional circumstances, where candidates have the experience, credentials or expertise that would warrant such consideration. It is always our goal to hire exceptional talent and we would be happy to share more about compensation during the hiring process.
Here's what's in it for you (full-time US based employees only; does not apply to contract roles):
- Competitive Compensation: Including annual salary, pre-IPO stock options, and other financial compensation (if applicable)
- Medical, Dental, and Vision Coverage: 100% of premiums covered for you AND all of your dependents
- Unlimited Flexible Time Off: Unlimited FTO in addition to 12 company holidays per year, quarterly “recharge” days, and a week-long holiday break
- Home Office Reimbursement: To cover home office furniture and supplies, monthly home internet, and monthly cell phone (if applicable)
- Health & Wellness Reimbursement: To cover monthly gym membership or other qualifying expenses
- Parental Support: Generous parental and family leave, fertility benefits, and employer-sponsored stipends towards family forming services
- 401k Plan: To support you in your individual retirement goals
- Team Events: Frequent team-building events, fun team off-sites, and bi-annual company meetups
- Commitment to DEI: To prioritize Diversity, Equity, and Inclusion within our workplace and to stay true to our values and mission
- Mentorship and Training: To get you onboard quickly, learn new professional skills, and invest in your career development
- Impact and Visibility: To expose you to and provide the opportunity to work on highly strategic initiatives that will transform the business
- Encouragement and Empowerment: To explore and adopt new technologies and drive meaningful decisions and outcomes
- At Apartment List we believe that everyone deserves a home they love AND a career they love. We strive to build a diverse team that is a reflection of the people we serve; this is made possible through our commitment to fostering a culture of diversity, inclusion, equity, and connectedness.
As a proud equal opportunity employer, we celebrate the collection of individual differences, life experiences, ideas, perspectives, knowledge, and talent. We hire candidates of any race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, Veteran status, and any other status. #LIRemote
Skills Required
- Experience directly managing data engineers and/or analytics engineers, including hiring, coaching, and performance management.
- Experience leading end-to-end data production, from platform to analytics mart.
- Hands-on data infrastructure experience designing or making architectural tradeoffs in pipeline orchestration, warehousing, and platform reliability.
- Hands-on experience with SQL-based modeling sufficient to evaluate modeling and metrics decisions.
- Track record of setting technical roadmaps and making an investment case to leadership.
- Ability to evaluate and communicate architectural and modeling tradeoffs to technical and non-technical stakeholders.
- Experience partnering with non-technical stakeholders to define metrics and resolve conflicting data priorities.
- Experience managing both a data engineering and an analytics engineering function specifically.
- Experience owning a BI/semantic layer tool (Looker, Tableau, or similar) as a product, including cross-team data model standards.
- Experience introducing AI-assisted tooling into engineering or analytics workflows at a team level.
- Background in marketplace, real estate, subscription, or performance marketing data models.
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The Company
What We Do
For us, renting is personal — we’re a company built by renters for renters. We’re here to deliver renters a home they love at the value they deserve. Whether renters are embarking to a new city, in search of a quieter neighborhood, or making the jump to a two-bedroom apartment — we’re here to find them their perfect apartment match. We’ve made it our mission to revolutionize renting by making it a stress-free, simple, and holistic experience, connecting ready-to-move renters with compatible city living. Home is a feeling everyone should own, and we’re on a mission to help renters find it.
Why Work With Us
Want a job that makes a difference? There are over 100 million renters in the US, and at Apartment List, we strive every day to remove the hassle from renting and make the process better for every single one of them. Together, we can change the narrative around what it means to be a renter.
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