Join Our Team

About Us

We're a fast-growing startup that's hit $1M+ in ARR, building the future of marketing technology. We're at the stage where every dollar and every decision compounds, and we need someone who can turn media spend into predictable, scalable growth.

The Role

You'll own our media buying strategy and execution as a player-manager. Initially, you'll be hands-on keyboard running campaigns and building systems. As we scale, you'll rapidly build and lead a team of media buyers while maintaining strategic oversight and executing on the most critical initiatives.

This role is a total paid digital sicko who lives and breathes algorithm changes, macro trends in consumer behavior, and cares about components not directly in their control like CRO and creative. They are someone who can both do the work at the highest level and teach others to do it your way.

What You'll Do

Player (First X months):

• End to end own media buying strategy for our brands across paid social, search, display, and emerging channels
• Implement rigorous measurement frameworks using MMM, MTA, and incrementality testing
• Build the processes, templates, and playbooks that will scale with the team

Manager:

• Build and lead a high-performing media buying team
• Establish accountability systems, reporting cadences, and performance standards
• Train team members on your frameworks, measurement approaches, and optimization methodologies
• Review campaign performance and provide strategic direction to the team
• Scale yourself through delegation while maintaining quality and rigor

What We're Looking For

Required:

• 7+ years of hands-on media buying experience with proven results
• 3+ years managing or mentoring media buyers (we care about impact, not title)
• Deep expertise in marketing measurement: MMMs, MTA, incrementality testing
• Track record of managing significant media budgets ($500K+ monthly) profitably
• Fluency in interpreting large datasets and extracting actionable insights
• Experience building processes, SOPs, and systems that others can execute
• Ability to balance hands-on execution with team leadership
• Strong opinions on what works in performance marketing, loosely held

Bonus Points:

• Experience managing distributed or offshore teams
• Built a media buying function from scratch
• Experience scaling DTC or B2B SaaS brands
• Proficiency with experimentation frameworks and statistical rigor
• Agency background with in-house transition experience

What We Offer

• Ownership: Build and lead the entire media buying function
• Team Building: Quickly empowered to hire and scale your team
• Impact: Your decisions directly determine company growth trajectory
• Resources: Budget to test, scale, and hire what works
• Learning: Work with a founding team that's done this before at scale
• Flexibility: Fully remote with async-friendly culture
• Ground Floor: Join early enough to shape the company's future

Start Date

December 1 - we're actively scaling and need someone to take the reins.

About Us

We're a fast-growing stealth startup that's already hit $1M+ in ARR, building the future of marketing technology. We're at the stage where every team member has a massive impact, and we're looking for someone who wants to build from the ground level rather than just observe.

The Role

This isn't a typical internship where you'll be cleaning datasets in the corner. You'll be doing real machine learning work that ships to production and directly impacts our product and customers. For the right candidate, this role will convert to a full-time position on our founding team.

You'll work closely with founding engineers and product managers from successful tech companies who are invested in your growth and impact.

What You'll Work On

• Experimentation & Causal Inference: Design and analyze experiments using Bayesian methods and causal inference techniques to optimize marketing strategies
• Recommendation Systems: Build intelligent systems that drive user engagement and business outcomes
• Machine Learning Models: Develop and deploy ML models that solve real business problems
• Multi-Armed Bandits: Implement adaptive algorithms for dynamic optimization
• End-to-End Ownership: Take projects from research to production deployment

What We're Looking For

Required:

• Strong machine learning fundamentals and hands-on experience
• Demonstrated work in Bayesian statistics and causal inference (we want to see projects, papers, or real applications)
• Ability to translate research into production code
• Track record of building things that matter—we care more about what you've shipped than where you went to school

Bonus Points:

• Experience with multi-armed bandits, A/B testing frameworks, or experimentation platforms
• Contributions to open source ML projects
• Research experience or publications

What We Offer

• Real Impact: Your work will directly influence product direction and customer outcomes
• Learning: Work alongside experienced founders and engineers who will mentor you
• Growth Path: This role is designed to convert to full-time for strong performers
• Flexibility: Fully remote with async-friendly culture
• Ground Floor Opportunity: Join a proven startup (7-figure ARR) early enough to shape its future

Start Date

ASAP—we're moving fast and want you to start making an impact immediately.