Account Executive

• Close business. Own the full sales cycle and bring vintage buyers and sellers onto Alt.
• Hunt daily. We’ll start you with accounts, but your long-term success comes from sourcing new consignors and collectors in the vintage space.
• Build trust. In vintage, reputation is everything. You’ll become the person serious collectors want to consign with, buy from, and sell to.
• Shape product. You’ll spot gaps—whether it’s auction formats, pricing tools, or seller workflows—and bring those insights back to the team.
• Run your process. Prospecting, qualification, relationship-building—it’s all muscle memory for you.

Associate Account Executive, Vintage

Full-stack Engineer

• Architect the Auction Engine: Build and scale the high-concurrency bidding and listing systems that power 9-figure annual GMV.
• Ship AI-Powered Liquidity: Develop next-gen features that leverage AI to provide instant valuations and upfront liquidity to our consignors and sellers.
• Personalize the Hobby: Use data and machine learning to build rich, personalized discovery experiences that match unique collectibles to the right buyers.
• Empower Power Users: Design and launch sophisticated management tools for everyone from high-frequency "power sellers" to veteran hobbyists.
• Own the Experience: Build end-to-end—from the low-latency backend logic required for live bidding to the sleek, responsive UI where the action happens.
• Drive Technical Excellence: Mentor the team and set the standard for code quality, system reliability, and performance.

Senior Fullstack Engineer, Auctions

• Engineer Financial Integrity: Build and maintain our custom-built double-entry ledger system to ensure every cent is accounted for across the platform.
• Own Lending Infrastructure: Design and scale our lending products—from the logic of credit disbursements to the automated lifecycle of loan management.
• Architect Integrations: Design and implement robust integrations with payment gateways and banking partners, ensuring 99.99% reliability and seamless reconciliation.
• Own the UX of Money: Create high-trust user interfaces for payments and lending that make complex financial actions feel simple, transparent, and secure.
• Balance Rigor with Speed: Make thoughtful trade-offs between rapid feature shipping and the uncompromising correctness required for financial systems.
• Be a Multiplier: Level up the team through rigorous code reviews, technical documentation, and mentorship.

Senior Fullstack Engineer, Payments

Financial Planning and Analysis

• Own the monthly burn forecast and maintain a <5% variance as we drive toward our June 30th net-zero target.
• Develop and enforce ROI-based "Capacity Models" for every department to ensure headcount growth is strictly tied to revenue milestones.
• Act as the internal lead on vendor management, auditing SaaS and hardware spend to identify and eliminate "Software Bloat"
• Build and maintain the sophisticated financial models required to defend a tech-marketplace valuation (LTV/CAC, GMV Sensitivity, and Auction Take-Rate).
• Lead the financial modeling and due diligence required to secure a new Venture Debt line and prepare the company for a successful Series C.
• Translate complex internal data into clear financial narratives for the Board and prospective investors.
• Take immediate ownership of the 2024 audit, resolving historical bottlenecks and ensuring the company is 100% "Due Diligence Ready."
• Collaborate with Engineering and Product to automate financial reporting and ensure data consistency across the platform.
• Evaluate financial exposure and implement the necessary internal controls to scale to 100+ employees.
• Partner with our CEO and department heads to evaluate the ROI of new auction categories and marketplace initiatives.
• Develop capital allocation frameworks to ensure every dollar spent maximizes marketplace GMV and long-term valuation.

Strategic Finance Manager

Data Scientist

• Research, develop, and ship sophisticated pricing models (e.g. Tree-based, Gradient-based, Deep Learning, ensemble methods) to improve valuation accuracy for high-value assets.
• Identify new data signals — emanating from data such as auction results to social sentiment — and validate their predictive power through rigorous backtesting and experimentation.
• Partner with the Product Engineering team to refine our Risk & Underwriting models, balancing the goal of maximizing cash advances with the need to maintain a balanced lending portfolio.
• Collaborate with the Expert Pricing team and domain experts to encode market nuances into automated features and inferences, ensuring our models respect the qualitative factors collectors care about.
• Define, monitor, and lift model performance metrics and communicate the "why" behind price coverage, movements, and freshness toward becoming the ultimate liquidity platform.

Senior Data Scientist – Pricing & Underwriting

Product Designer

• Shape the core platform and create seamless, delightful experiences for people researching, managing, insuring, and leveraging their alternative-asset portfolios.
• Drive user-centric thinking: Bring a high-craft, systems-oriented approach to problem-solving, experimentation, and raising the bar for simplicity, clarity, and usefulness across the company.
• Navigate ambiguity: Break down open-ended problems, ruthlessly prioritize for impact, and align cross-functional teams around the path forward.
• Operate across altitudes: Work on loosely defined concepts as well as tightly scoped, tactical deliverables with equal skill.
• Turn insight into action: Conduct research, synthesize findings, and translate them into clear design directions. Dive into data, run experiments, and uncover the 'what, why, and how' behind user behavior so we deliver outcomes, not just features.
• Elevate the craft: Lead and participate in design reviews, provide clear and actionable feedback, and contribute to a culture of high standards by showing through doing.
• Champion AI-first design: Design for and with LLMs, automation, and context-aware systems. Translate emerging capabilities into intuitive, delightful product experiences and help ensure Alt’s offering stays meaningfully ahead of competitors.
• Collaborate deeply: Partner closely with Product, Engineering, Sales, and other stakeholders to understand constraints, align on requirements, and deliver thoughtful, creative solutions.
• Grow the Design System: Spend ~20% of your time evolving and maintaining the Alt Design System, and 80% designing core features across the product.

Lead Product Designer

Growth Marketing

• Own Lifecycle Growth End-to-End
• Design and execute lifecycle programs across email, push, SMS, in-app messaging, and product surfaces
• Build and optimize onboarding, activation, re-engagement, and retention flows for buyers and sellers
• Leverage marketing automation, behavioral data, and ML-based techniques to create personalized experiences at scale
• Translate product moments into timely, relevant lifecycle touchpoints
• Drive Product-Led Growth
• Partner deeply with Product, Design, Engineering, Data Analytics, and Sales to shape communication inside the product, not just around it
• Influence UX, copy, sequencing, and transactional triggers that improve conversion and trust
• Identify and unblock growth bottlenecks related to experience, tooling, or execution
• Operate at Speed
• Move fast, wear multiple hats, and execute without perfect inputs
• Build scrappy solutions when needed (templates, HTML, tooling workarounds)
• Balance strategy with execution
• Experiment, Measure, Iterate
• Own lifecycle experimentation and measurement across activation, conversion, and retention
• Analyze behavior, cohorts, and funnel drop-offs to inform iteration
• Continuously refine programs based on data, not opinion
• Leverage AI to Scale Impact
• Use AI to accelerate lifecycle creation, experimentation, personalization, and iteration
• Apply AI thoughtfully to improve speed, relevance, and learning velocity
• Focus on outcomes, not buzzwords

Growth Lifecycle Manager

Data Engineer

• 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.
• 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.