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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.

As the VP Customer Success at our company, you will be the primary architect of the customer journey for a global portfolio of hundreds of enterprise accounts. You will lead a Customer Success organization focusing on both Commercial customers and Public Sector intelligence agencies to derive maximum value from our Maritime AI platform.
You will sit at the intersection of commercial growth and operational excellence, managing a complex landscape of diverse business lines across the US, EU, UK, and International markets.
Core Responsibilities
1. Strategic Leadership & Portfolio Management
Segmented Strategy: Oversee a diverse portfolio of 300+ enterprise customers, developing bespoke success strategies for two distinct pillars:
Commercial: Energy majors, bunkering, commodity traders, and ship owners.
Government: Coast guards, Law Enforcement Agencies (LEA), Customs, and Intelligence organizations.
Revenue Accountability: Primary Drive Customer satisfaction, Gross Retention Rate (GRR) and Net Retention Rate (NRR). Identify and act upon expansion opportunities (upsell/cross-sell) in partnership with the Sales team.
Global Scale: Manage and scale localized teams across various time zones to provide seamless support for international markets.
2. Complex Implementations & Product Adoption
Operational Excellence: Oversee complex, large-scale implementations that involve integrating AI into existing customer workflows and technical ecosystems.
Value Realization: Define and track Success Outcomes for customers, ensuring that maritime intelligence translates into actionable insights for risk management, compliance, and national security.
Feedback Loop: Serve as the Voice of the Customer to the Product and Engineering teams, ensuring the roadmap reflects the evolving needs of both commercial and government sectors.
3. Executive Relationship Management
Trusted Advisor: Act as an executive sponsor for Tier 1 accounts, building relationships with C-suite executives in the private sector and high-ranking officials in the public sector.
Crisis Management: Navigate high-stakes maritime or geopolitical events where customers rely on our company for real-time intelligence and support.