Lifecycle / Retention Manager (Braze Focus)

Location: Remote - Open to remote US/Canada but MUST be available for in person sprints in NYC - Preference for full time in NYC

Compensation: $130K - $150K

We are a high-growth consumer technology company defining the next generation of finance. Our iOS and Android application is often described as the "Robinhood for DeFi," allowing anyone to trade cryptocurrencies on-chain through a simple, user-friendly interface. Since our launch in July 2024, we have attracted over 2 million users. Our mission is ambitious yet straightforward: to onboard the world to decentralized finance, making finance open and accessible to everyone.

We are a lean team of passionate self-starters who relish autonomy and are united by a sense of urgency. We are seeking a Lifecycle / Retention Manager to take end-to-end ownership of our CRM strategy, primarily utilizing Braze.

As the Lifecycle / Retention Manager, you will be the core owner of the entire user messaging lifecycle. You will leverage Braze end-to-end to drive user activation, retention, and reactivation across all messaging channels. This role requires a hands-on operator who is driven by metric movement and a deep understanding of user psychology.

Key Responsibilities

Junior Data Analyst (Product Focus)

Location: London, New York City (Office)

Compensation: $175K - $225K + Tokens/Equity

We are seeking a motivated Junior Data Analyst who is eager to learn, grow, and make a significant impact in a fast-paced environment at the intersection of consumer technology and next-generation finance. In this role, you will play a crucial part in supporting data initiatives across our product, helping various teams make informed decisions through clear analysis, reporting, and insight generation.

You will work closely with senior data staff while gradually taking on more ownership as you develop your skills in a supportive, high-autonomy environment.

As a Junior Data Analyst, you will support critical data initiatives, translating raw data into actionable insights that directly influence product strategy and user experience. You will be instrumental in tracking key performance indicators (KPIs) and uncovering opportunities for growth and optimization.

Machine Learning Engineer, AI Decisioning (Full-time)

Location: Remote (North America) / San Francisco (Optional)

Salary Range: $200,000 - $260,000 USD

We are expanding our data activation products to include a powerful intelligence layer, and we are looking for a highly experienced Machine Learning Engineer to join our team. Hundreds of companies use our platform to automate and improve operations by syncing data into their systems, but there is immense potential in helping them make smarter decisions about which customers to message, what content to use, and when to send messages.

A lot of this crucial decision-making today is often manual and driven by intuition. By integrating machine learning, we aim to deliver a step-function impact for our customers. Given our access to first-party customer data, we are perfectly positioned to build an intelligence layer that leverages this rich data source.

Your responsibilities will include working on complex problems such as:

eJam is a consumer products brand incubator and holding company focused on eCommerce marketing. We are seeking an experienced Retention Marketing Specialist to play a crucial role in supporting our marketing team's initiatives and contributing to our overall brand-building strategy.

Role Overview:

This position involves developing and executing email and SMS marketing strategies to enhance customer engagement, drive revenue growth, and support marketing efforts for our eCommerce, marketplace, and retail business.

This role is the right fit for you if :

Staff Data Scientist

Full-time | On-site

Location: San Francisco

We are a well-funded, rapidly growing technology company building advanced AI solutions for the enterprise. We are seeking a Staff Data Scientist to bring deep technical rigor, statistical expertise, and product acumen to our data-driven decision-making process. This high-impact role requires an ability to structure ambiguous problems and directly influence product strategy and company performance.

As a Staff Data Scientist, you will be the primary driver of experimentation culture and advanced analysis, ensuring data is used strategically to measure growth, test product changes, and evaluate the performance of our AI models.

In this role, you will:

Member of Technical Staff - Applied ML

Full-time | On-site

Location: New York, NY

We are a rapidly growing AI enterprise focused on equipping professionals with teams of AI agents to automate complex, real-world workflows. We are seeking a highly autonomous Applied ML Engineer to own end-to-end projects that bring intelligence into production. This role is for engineers who want to operate like both researchers and builders, focused on shipping reliable, continuously improving agentic systems.

As a key member of our Machine Learning team, you will act as the Responsible Party (RP) for mission-critical systems. You will have full autonomy to scope, build, experiment, and decide when your solution is ready to ship, focusing on clarity, deep instrumentation, and safe, reliable operation.

What you’ll be doing:

Join HSO and help shape the future of AI-driven cloud solutions. We believe technology should empower people and businesses to thrive. If you’re passionate about building innovative, ethical, and reliable AI solutions and enjoy leading projects and sharing knowledge we’d love to hear from you! 

About the Role 
As our AI Architect, you’ll design secure, scalable AI solutions, guide strategy, and work with customers and global teams. You’ll lead exciting projects, influence technology adoption, and help drive innovation at HSO. 

Key Responsibilities 

• Develop and implement enterprise AI strategies, frameworks, and governance. 

• Lead end-to-end delivery of AI solutions (migration, modelling, testing, deployment). 

• Design scalable AI systems and apply responsible AI practices. 

• Ensure privacy, security, and regulatory compliance. 

• Mentor technical teams and foster best practices. 

• Partner with customers to identify opportunities and enhance solutions. 

• Deliver workshops and share emerging technologies across teams. 

Requirements

Core Technical & Design Skills 

Founding Engineer - AI Data Cleaning & Financial Infrastructure

Location: On site - New York

Compensation: $150,000 – $250,000

We are a high-growth, YC-backed company building the clean data layer for everyone, starting with financial firms. Our platform solves complex data cleaning challenges, delivering accurate, refined data via a simple API that integrates effortlessly into existing ELT pipelines, combining the best of AI and expert human review. We are seeking a Founding Engineer to design, build, and scale our core AI-powered data systems.

This is an unparalleled opportunity to join an early team and drive both the product strategy and the technical direction of the company. You will have immense impact and ownership, working across the entire stack to create a reliable and accurate data platform. You must be a strong engineer excited to work at the intersection of production software and frontier AI/LLM technologies.

What You’ll Do:

Applied AI Engineer

Location: NYC (On-site, 5 days/week)

Employment Type: Full-time

Salary Range: $150K - $225K

We are a rapidly growing, well-funded technology company operating at the intersection of AI, Software Development, and the Healthcare/Life Sciences industry. We are building a foundational network and applying advanced AI techniques to revolutionize how new life-changing therapies reach patients. This is a demanding, high-autonomy role with end-to-end responsibility for driving measurable business impact. Visa sponsorship is available.

As an Applied AI Engineer, you will be responsible for leveraging LLMs and various Machine Learning techniques to solve critical business problems, automate complex processes, and create groundbreaking AI applications across our product suite. This role requires a deep understanding of the business domain to ensure your technical output directly drives user growth, operational efficiency, and revenue generation.

Key Responsibilities:

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

As a Senior Data Scientist with strong expertise in graph theory and advanced data processing to join our Supply Chain Analytics team. The ideal candidate will have hands-on experience leveraging Python, PySpark, and graph-based approaches (preferably with NetworkX) to solve complex business problems in supply chain optimization.. You will develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools. You will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.

Key Responsibilities