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We're expanding our talented team and looking for an FP&A Business Partner to join us. We are seeking a high-performer with a background in a high-growth environment, who is ready to take ownership of financial planning and analysis. You will be instrumental in translating our massive user growth into sustainable business insights.

What does an FP&A Business Partner do:
If you are a data-driven professional who enjoys understanding how a business operates and scales, youll be a good fit for this role. You wont just be sitting behind a spreadsheet; youll be a key partner to our various teams, ensuring we are making smart, data-backed decisions. Youll help us bridge the gap between our creative vision and our financial goals.

Key responsibilities
Own the Model: Maintain and evolve our financial models, ensuring they accurately reflect the reality of a fast-scaling subscription business.
Business Partnership: Work directly with teams across the company to provide financial clarity, help manage budgets, and evaluate the success of new initiatives.
Forecasting & Reporting: Lead the monthly and quarterly rolling forecast process, providing clear explanations for variances and identifying risks or opportunities.
Board Reporting: Own the preparation of board decks, ensuring accuracy, clarity and meaningful insights
Data Integrity: Partner with our data analysts to ensure our financial models are rooted in accurate, real-time data.

In this key engineering role in one of our multidisciplinary product teams, you will take end-to-end ownership of the engineering discipline and tasks that will bring the most impact and joy to millions of learners. All this while quickly learning and adapting to do whatever it takes to solve the unsolvable.

Our data engineering team is looking for an experienced professional with expertise in SQL, Python, and strong data modeling skills. In this role, you will be at the heart of our data ecosystem, designing and maintaining cross-engineering initiatives and projects, as well as developing high-quality data pipelines and models that drive decision-making across the organization.

You will play a key role in ensuring data quality, building scalable systems, and supporting cross-functional teams with clean, accurate, and actionable data.



What you will do:

Design, develop, and optimize data services and solutions required to support various company products (like FeatureStore or synthetic data management); Work closely with data analysts, data scientists, engineers, and cross-functional teams to understand data requirements and deliver high-quality solutions.
Design and integrate LLM- and agent-based capabilities into data platforms and services, enabling smarter data operations and AI-driven data products.
Design, develop, and optimize scalable data pipelines to ensure data is clean, accurate, and ready for analysis.
Build and maintain robust data models that support clinical, business intelligence, and operational needs.
Implement and enforce data quality standards, monitoring, and best practices across systems and pipelines.
Manage and optimize large-scale data storage and processing systems to ensure reliability and performance.

We are looking for an experienced ML/AI engineer to anchor our ML Platform team. You will lead the effort to productize our Large Language Models, transforming experimental code into robust, efficient services. Your goal is to build the infrastructure that allows our Data Scientists to move fast without breaking production.

What you'll be doing:
Model Development & Optimization

Fine-tuning & Engineering: Develop and fine-tune LLMs/classic models for specific medical tasks (condition detection, dialogue systems) using internal datasets.
Research to Production: Partner with Data Scientists to develop experimental code into scalable, production-ready modules.
Platform Engineering & Infrastructure

Pipeline Orchestration: Build and maintain complex ML workflows using Kubeflow Pipelines (KFP) or similar orchestration tools.
Internal Tooling: Develop and manage the internal Python ecosystem-libraries, SDKs, and utilities-that the Data Science team uses for daily development.
CI/CD & Automation: Write and maintain CI/CD scripts to automate the testing, versioning, and deployment of machine learning artifacts.
Production Standards & Integration

System Integration: Work with backend developers to integrate trained models/agents into the core application architecture.
Code Quality: Enforce high engineering standards through code reviews, ensuring that research code meets production reliability and maintainability requirements.
Requirements Engineering: Translate evolving data science requirements into concrete infrastructure and platform features.

We're expanding our world-class team and looking for a passionate, highly experienced Product Designer to join one of our multidisciplinary product teams. In this role, you'll collaborate with engineers, product managers, marketers, and musicians to have a direct impact on our product and business, shaping the experience of millions of users worldwide.

Were expanding our world-class team and looking for a full-stack Performance Video Creator to join new, exciting initiatives. In this role, you will develop large-scale video ads that will be key in expanding our growth. You will have full ownership of the creative process end-to-end from ideation, through production down to the final product and publication. We are looking for an independent, hands-on, proactive, creative thinker passionate about well-executed exceptional ideas that show our products, tell our stories, and drive sales.

This is a lead role in a critical operation of our growing, do-good startup, thats changing peoples lives.

What will you do:
Lead end-to-end strategic growth processes with a primary focus on acquiring new learners for our new efforts and products.
Define key performance indicator (KPI) metrics and derive actionable insights through data analysis and research.
Manage and execute large-scale campaigns across various online advertising platforms.
Develop an analytical approach to influence strategic decision-making, leveraging data analysis, forecasting models, and measurement metrics.
Lead the development and execution of a holistic growth strategy encompassing various user traffic streams.
Collaborate cross-functionally with marketing, engineering, and design teams to implement and optimize growth strategies.
Analyze user behavior data, monitor market trends, and assess the competitive landscape to identify growth opportunities and revenue-generation strategies.
Establish an end-to-end experimentation process, including hypothesis formulation, test design, KPI selection, test execution, results measurement, and recommendations.

We are looking for a Senior Sales Enablement Lead to drive our enterprise-grade sales excellence. In this hands-on role, you will own the end-to-end sales methodology, embedding MEDDPICC rigor and value-driven playbooks into our global field operations. We are seeking a strategic operator who can turn sales theory into winning behaviors, empowering our team to scale our impact across the maritime industry.

As a Senior Sales Enablement Lead , your impact will be:

1. Own MEDDPICC implementation. Implement, enforce, and evolve MEDDPICC across the enterprise sales org. Translate methodology into practical deal qualification, inspection, and forecast discipline.

2. Build Enterprise-Grade Sales Playbooks. Create and maintain clear, opinionated playbooks covering discovery, value articulation, stakeholder mapping, exec alignment, POVs/POCs, and deal progression for large, complex deals.

3. Drive Value-Based Selling at Scale. Partner with Value, Product Marketing, and Sales Leadership to embed economic value, ROI thinking, and outcome-led messaging into every stage of the sales cycle.

4. Design and Run Onboarding, Certifications, Lifetime learning Programs. Build onboarding and ongoing training and certification programs (methodology, discovery, value, exec conversations).

5. Be Embedded in Real Enterprise Deals. Join live opportunities to coach reps, inspect MEDDPICC rigor, sharpen deal strategy, and accelerate high-stakes enterprise deals.