Sr. Engineering Manager, Data Platform

Haus Analytics, Inc.; Mississippi; On-site; USD 225,000 - 265,000; Full time

Job summary

An innovative firm is seeking a talented engineering leader to enhance their data platform. This pivotal role involves building scalable systems and collaborating with cross-functional teams to drive impactful data solutions. The ideal candidate will possess extensive experience in managing engineering teams and developing data-driven products. Join a small yet dynamic team that values creativity and offers a competitive salary along with comprehensive benefits. If you are passionate about technology and eager to make a difference in the data landscape, this opportunity is for you!

Benefits

Competitive salary and startup equity

Health, dental, and vision insurance

401k plan

New laptop and equipment

Small team with big impact

Qualifications

• 5+ years managing engineers, building data systems or data-driven products.
• 10+ years in software engineering with strong execution skills.

Responsibilities

• Drive engineering execution within the Data Platform team.
• Collaborate with teams to make data-driven decisions.

Skills

Engineering Leadership

Scalable Distributed Systems

Data Systems/Workflows

Software Engineering

Team Management

Execution Skills

Education

BS in Computer Science

MS in Applied Mathematics

PhD in a related field

Job description

About Haus

Haus is a first of its kind decision science platform for the new digital privacy paradigm where data sharing and PII is restricted. Haus uses frontier causal inference based econometric models to run experiments and help brands understand how the actions they take in marketing, pricing and promotions impact the bottom line. Our team is comprised of former product managers, economists and engineers from Google, Netflix, Amazon and Meta who saw how costly it is to support high-quality decision science tooling and incrementality testing. Our mission is to make this technology available to all businesses, where all the heavy lifting of experiment design, data cleaning, and analysis/insights are taken care of for you. Haus is working with well known brands like FanDuel, Sonos, and Hims & Hers, and has seen more than 30x ROI by running experiments and helping brands make more profitable decisions. We are backed by top VCs like Insight Partners, 01 Advisors, Baseline Ventures, and Haystack.

We're honored that Haus has once again been recognized and has made the list for 2025'sexceptional startups!

The Role

This is a unique opportunity to help us build robust and scalable systems that handle data workloads at Haus. The Data Platform includes systems that power the Haus product and are at the heart of what we do.

The ideal candidate is an accomplished engineering leader and an excellent communicator, who has deep experience with scalable distributed systems, and is well-versed with data systems/workflows. Please apply if you are a great technologist who enjoys leading from the front, learning new things, and a wide breadth of responsibility.

What You'll Be Doing

• Drive engineering execution within the Data Platform team on a regular basis
• Craft, communicate, and execute on the team’s vision and roadmap in partnership with the platform PM
• Collaborate with core infrastructure and other engineering/science teams to make sound, first-principle decisions
• Work closely with scientists and engineers to create ergonomic “paved paths” for working with data
• Act as a strong summarizer that is able to articulate and communicate tradeoffs among potentially competing priorities while ensuring consistent, high-quality delivery

What you should have

• 5+ years of experience managing a team of engineers building/operating data systems and/or delivering data-driven products
• 10+ years of overall experience in a software engineering role
• Demonstrated experience building data systems or data-driven products from 0 -> 1
• Strong execution skills to keep work on track
• A healthy balance between digging into code/architecture and leading through others
• A bias towards quantitative measure of progress and performance
• Demonstrated experience managing and growing engineers up to and through the staff level

Bonus Points

• Experienced with data science or ML workflows in a cloud computing environment
• Earlier stage startup experience.
• BS/MS/PhD in Computer Science, Applied Mathematics or a related field.

What We Offer

• Competitive salary and startup equity
• Top of the line health, dental, and vision insurance
• 401k plan
• Provide you with the tools and resources you need to be productive (new laptop, equipment, you name it)
• Small team with big impact on the overall output

$225,000 - $265,000 a year

The salary range for this position is expected to be $225,000 - $265,000. Salary ranges are determined by role and level, and within the range individual pay is determined by additional factors including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in this job posting reflect the base salary only, and do not include equity or benefits.

Haus is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.