Join one of the fastest growing rewards/fintech startups in the world - Benjamin! Backed by Play Ventures and F4 Fund, we're all about making everyday actions rewarding. We're looking for an experienced Senior Platform Engineer, Agentic Systems to help us take things to the next level.
At Benjamin, we give users real cash rewards—what we call MoMos (Money Moments)—for things they’re already doing. From playing games and watching ads to everyday card purchases with cash back, we’re all about putting money back in people’s pockets.
What you’ll do
- Optimize rewards and incentives directly — uplift modeling and reward/pricing optimization to grow engagement and conversion without wasting spend.
- Recommend and rank offers and content in real time — match each user with the right reward at the right moment.
- Own experimentation and measurement across product and paid user acquisition — causal impact, incrementality, and attribution (MMM / multi-touch).
- Take problems zero-to-one — turn a blank-slate idea into a production data product, not a notebook.
- Build features, labels, training datasets, and evaluation pipelines.
- Ship models as batch jobs, APIs, services, or product features; keep training, validation, and inference running reliably without hand-holding.
- Monitor production models for quality, drift, latency, cost, and business impact; improve how we deploy, retrain, version, and roll back.
- Mentor others and set the team's ML engineering standards.
What we’re looking for
- A strong ML or applied-data-science background — you've deployed and operated models in production, not just trained them offline
- Strong Python and SQL, with a solid grasp of statistics, experimentation, and model evaluation
- Experience with recommendations, ranking, forecasting, uplift, or causal methods
- Software engineering fundamentals: Git, testing, CI/CD, Docker
- Cloud experience (AWS preferred), a warehouse (Snowflake, BigQuery, Postgres, or similar), and familiarity with dbt and Terraform
- A bias toward simple, practical solutions, with strong communication and ownership
Our stack
- Data: Snowflake, BigQuery, Postgres, dbt
- Cloud/infra: AWS (GCP), Terraform, Docker
- Languages: Python, SQL, TypeScript
- Tooling: Hex, GitHub Actions, Git, Airbyte, Claude
You won't have used every tool here, and you don't need to. Strong engineering fundamentals and experience operating production data systems matter more than matching the stack.
Why Join Us?
- Competitive pay: We offer great salaries and bonuses.
- Thriving in Hyper-Growth: Immerse yourself in the dynamic environment of a hyper-growth startup, where you'll encounter daily challenges and avenues for professional advancement.
- Cutting-Edge Collaboration: Engage with innovative technology and join a fast-paced team known for its forward-thinking approach and commitment to innovation.
- Positive Workplace Culture: Experience a professional yet enjoyable atmosphere, where hard work is valued alongside a sense of humor and camaraderie, fostering a fulfilling work environment.
About Benjamin
Benjamin is reshaping the future of cash rewards with a simple idea: everyday actions should earn you cash. Whether you’re making a purchase, playing a mobile game, or watching an ad, you get rewarded with Benjamin Money Moments. It’s that simple.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
About Benjamin
Benjamin is reshaping the future of cash rewards with a simple idea: everyday actions should earn you cash. Whether you’re making a purchase, playing a mobile game, or watching an ad, you get rewarded with Benjamin Money Moments. It’s that simple.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Skills Required
- Deployed and operated machine learning models in production
- Strong Python and SQL with solid grasp of statistics, experimentation, and model evaluation
- Experience with recommendations, ranking, forecasting, uplift, or causal methods
- Software engineering fundamentals: Git, testing, CI/CD, Docker
- Cloud experience (AWS preferred) and working with data warehouses
- Experience with data warehouses (Snowflake, BigQuery, Postgres) and dbt
- Familiarity with Terraform and infrastructure as code
- Experience operating production data systems and shipping data products (APIs, services, batch jobs)
- Mentoring others and setting ML engineering standards
What We Do
Our mission is to empower and enable consumers, through the Benjamin app, to safely and securely make more money all day, all night, every day. And, we empower and enable merchants, brands, banks, games, and publishers -- all to better monetize their audiences
