ALT

The Data Engineer will design, optimize, and own data pipelines that scrape, process, and ingest transaction and listing data from various marketplaces. They will also build monitoring systems to track data metrics and continuously improve the data infrastructure. | Candidates must have 3-4 years of experience in data engineering, strong Python proficiency, and experience with large-scale data processing. Familiarity with web scraping technologies and cloud services is a plus. | Alt is unlocking the value of alternative assets, starting with the $5 B trading-card market. We let collectors buy, sell, vault, and finance their cards in one place and we are backed by leaders at Stripe, Coinbase, Seven Seven Six, and pro athletes like Tom Brady and Giannis Antetokounmpo. Our next frontier is real-time pricing at scale—the Alt Value that powers every trade, loan, and product on the platform. The Role Are you a data engineer who thrives on building robust pipelines and solving complex data challenges? In this role, you'll own Alt's critical data infrastructure that powers our pricing model and marketplace insights by ingesting transaction and listing data from dozens of external marketplaces. You'll be responsible for ensuring our data pipelines deliver fresh, accurate information that drives pricing decisions, market analytics, and business intelligence across the entire platform. What you'll do here Design, optimize and own data pipelines that scrape, process and ingest transaction and listing data from major auction houses and marketplaces. Build comprehensive monitoring and alerting systems to track latency, uptime, and coverage metrics across all data sources. Continuously improve our data infrastructure by modernizing storage and processing technologies, reducing manual interventions, and optimizing for cost, performance, and reliability. Partner with internal teams to understand data usage patterns and ensure pipelines deliver clean, standardized data that meets product requirements. This is a perfect fit if you... Care deeply about data quality and understand that extraction is only the beginning - the real value comes from delivering clean and usable data. Thrive in a startup environment where you can make immediate impact and own critical systems end-to-end. Take an incremental approach to improvements, preferring evidence-based decisions over wholesale replacements. Are intellectually curious about how data flows through systems and passionate about automation opportunities. Want to work at the intersection of data engineering and product, understanding how your pipelines directly impact business outcomes. What you bring to the table Must-haves: 3-4 years of experience in data engineering or related fields Strong Python proficiency with at least 3 years of hands-on experience Proven experience with large-scale data processing using dataframe technologies (Pandas, Polars, PySpark, or similar) Hands-on experience with pipeline orchestration tools (Airflow, Dagster, or similar DAG-based systems) Track record of owning at least one data pipeline end-to-end within the past 2 years Solid SQL skills for data analysis and transformation Previous startup experience - you understand the pace and adaptability required in a fast-moving environment A pragmatic mindset focused on delivering value incrementally rather than pursuing perfection Nice-to-haves: Experience with web scraping technologies (Selenium, Puppeteer, Beautiful Soup) Familiarity with data infrastructure and cloud services (AWS preferred) Interest in or knowledge of trading cards, collectibles, or alternative asset markets Experience with LLM-based automation tools for data extraction and processing What You’ll Get From Us A seat at the table to help shape the future of Alt and the alternative asset space Autonomy and ownership on projects that matter $100/month work-from-home stipend $200/month wellness stipend WeWork office stipend 401(k) retirement benefits Flexible vacation policy Generous paid parental leave Competitive healthcare benefits, including HSA, for you and your dependent(s) Base salary range: $155,000–$165,000, plus equity. Offers may vary based on experience, location, and other factors.

Own and optimize GTM campaigns and lifecycle communications to drive user activation, conversion, retention, and revenue growth. | 5+ years growth marketing experience with lifecycle campaign expertise, strong data literacy, and ability to partner cross-functionally with product and design. | Alt is unlocking the value of alternative assets, starting with the $5 B trading-card market. We let collectors buy, sell, vault, and finance their cards in one place and we are backed by leaders at Stripe, Coinbase, Seven Seven Six, and pro athletes like Tom Brady and Giannis Antetokounmpo. Our next frontier is real-time pricing at scale—the Alt Value that powers every trade, loan, and product on the platform. The Role As Alt’s Growth Marketing Manager, you’ll be owning our GTM motions to drive demand and revenue. You’ll own marketing communications to our customers and prospects and drive pipeline generation from our lifecycle channels. This role will be a bridge between Product, Marketing, and Sales and will work cross-functionally to keep Alt’s positioning sharp against competitors. What You’ll Do Own GTM campaigns that connect product value to user needs, aligned across teams. Create the lifecycle and in-app communication strategy across email, push, and product surfaces and track success. Test and optimize flows to drive activation, conversion, and retention. Partner early with Product and Design to shape communication throughout the user journey. Deliver data-driven insights to refine messaging and influence future product and GTM decisions. Leverage marketing automation, behavioral data, and ML-based techniques to create personalized experiences at scale Success Metrics Own T60 Active Buyers and Sellers, driving adoption and engagement across both new and returning users. Increase activation, conversion, and retention through optimized lifecycle programs. Establish agility in GTM execution and ensure product-led communication is cohesive and measurable. What We’re Looking For 5+ years of experience in growth marketing with lifecycle experience, ideally in a tech or marketplace environment. Iterable expertise with proven ability to build, manage, and optimize complex lifecycle campaigns across email, push, SMS, and in-app. Experience partnering with Product and Design to ensure end-to-end cohesion. Strong data literacy with comfort pulling, analyzing, and reporting on performance metrics to guide decisions. Familiarity with analytics and attribution tools (Amplitude, Segment, Branch, or similar). Proven track record of balancing GTM planning with execution that delivers measurable impact. What You’ll Get From Us $100/month work-from-home stipend $200/month wellness stipend WeWork office stipend 401(k) retirement benefits Flexible vacation policy Generous paid parental leave Competitive healthcare benefits, including HSA, for you and your dependent(s) Base salary range: $110,000-$130,000, plus equity. Actual offer may vary based on experience, location, and other factors.

You will be responsible for Alt's core card pricing model, optimizing it for accuracy and cost-effectiveness. Additionally, you will lead the full ML lifecycle from model training to production deployment and monitoring. | The role requires 10+ years of engineering experience, with at least 4-5 years in machine learning. Expertise in Python and experience with AWS and data orchestration tools are essential. | Alt is unlocking the value of alternative assets, starting with the $5 B trading-card market. We let collectors buy, sell, vault, and finance their cards in one place and we are backed by leaders at Stripe, Coinbase, Seven Seven Six, and pro athletes like Tom Brady and Giannis Antetokounmpo. Our next frontier is real-time pricing at scale—the Alt Value that powers every trade, loan, and product on the platform. The Role Are you a highly skilled ML engineer looking to own the lifeblood of a growing startup? In this role, you'll be responsible for Alt's core card pricing model, the critical engine that automates our cash advance decisions, powers our risk assessment framework and enables card valuations that collectors rely on for market research. You'll apply your expertise in both data science and ML operations to improve model accuracy and optimize our infrastructure for scalability and cost-effectiveness. What you'll do here Optimize our pricing model to significantly reduce infrastructure costs while maintaining and improving its accuracy especially for high value cards. Iterate on our underwriting model to maximize cash advance disbursements while maintaining target risk thresholds and default rates. Lead the full ML lifecycle from model training and feature generation to production deployment and monitoring. Collaborate closely with our Expert Pricers to become a domain expert in the trading card market and inform model improvements. Design and execute experiments and backtesting to discover and validate new features that improve the model's predictive power. Own the model's AWS infrastructure, writing code for our pricing API to ensure the model can serve at scale and with low latency. This is a perfect fit if you... Are passionate about trading cards or a similar alternative asset class, with a desire to go deep on the domain. Are a hands-on individual contributor who thrives in a zero-to-one startup environment. Want to own a business-critical system and have the opportunity to build a team around you. Are pragmatic and prefer to build a solution to a problem, not replace an entire system just for the sake of it. Are highly curious with a strong desire to learn. What you bring to the table 10+ years of total engineering experience with at least 4-5 years of direct machine learning experience. Expertise in Python with hands-on experience using libraries such as scikit-learn, XGBoost, and pandas. A strong foundation in ML Ops and infrastructure, with experience deploying models on AWS using tools like ECS and Docker. Experience in data orchestration using Airflow for model training and batch jobs. A demonstrated ability to improve model accuracy through feature generation and experimentation. Experience working with Random Forest, ensemble methods or pricing/underwriting models in a similar marketplace environment What You’ll Get From Us A seat at the table to help shape the future of Alt and the alternative asset space Autonomy and ownership on projects that matter $100/month work-from-home stipend $200/month wellness stipend WeWork office stipend 401(k) retirement benefits Flexible vacation policy Generous paid parental leave Competitive healthcare benefits, including HSA, for you and your dependent(s) Base salary range: $240,000–$270,000, plus equity. Offers may vary based on experience, location, and other factors.