Jozu provides business leaders withAI/ML informed action plans and hidden insights to increase revenue growth and connect their product-led and traditional sales motions. Our analysis goes beyond simple user activity metrics. By using machine learning and AI to extract the hidden patterns in how customers interact with marketing assets, sales motions, and product features, Jozu is able to highlight the customers and features that are driving growth, and those that are wasting resources. We are looking for a data-driven product manager with a 360-degree business understanding, but the technical depth to work daily with a highly technical product and team.

We’re looking for a deeply technical Product Manager to drive our product roadmap. You will have end-to-end product responsibility from working with external and internal customers to making roadmap tradeoffs and delivering revolutionary new functionality that improves the customer experience.

Candidates should enjoy working in a collaborative, analytical, and fast-paced environment and be comfortable interacting with highly technical cross-functional teams. Ideal candidates dive deep into data, have strong communication skills, and can confidently prioritize and choose the right tradeoffs.

We are a remote-first team who meet quarterly for in-person working sessions. We welcome applicants from anywhere between the Pacific and Eastern time zones. We value critical thinking, curiosity, problem-solving, and an open and empathetic communication style. Personal and team growth is an integral part of Jozu. We love to learn and challenge ourselves, and always support each other as we grow. We are excited to take on tough challenges and celebrate together when we achieve our goals.

In this role, you’ll be able to:

• Work directly with customers and prospects to refine the focus of our product and positioning
• Help prioritize the feature roadmap for our growing product
• Exercise your end-to-end ownership for the success of our product
• Live our ethos of growing a product using all the levers available, not just adding new features
• Learn from a team of seasoned startup and scaling venture veterans
• Do your work with minimal meetings and remember what’s it’s like to do consistent deep work

What you’ll need to succeed:

• 5+ years of working as a Technical Product Manager
• Experience delivering SaaS, PaaS or IaaS products where you are responsible for the full product lifecycle, from concept through GTM (go to market)
• Demonstrated communication skills at a level suitable for presentation to customers, executives, and engineering teams
• A love for the simplest solutions and the most elegant products.

Ideally candidates will also have some of the following:

• Experience with Git.
• Experience with Kubernetes, time series databases, Apache Pulsar, and APIs.
• Understanding of data architecture principles.

This role will allow you to accelerate your career growth, experiment with new technologies, and build your proficiency across multiple disciplines. It will enhance your analytical thinking, and give you a voice in the first and most critical decisions for a brand new product in a rapidly growing market.

Jozu is using machine learning and large language models to find patterns in structured and unstructured data and help our customers understand the business impact of their engineering, marketing, and sales decisions. We are building this using operational and analytical databases, ML algorithms, LLMs, queue systems, and data monitoring tools. We focus on software engineering related to data replication, storage, centralized computation, and Data API’s. We are a small but passionate team with people from different nationalities working together on a single goal.

We’re looking for an experienced machine learning engineer to help Jozu redefine how product, user, and business analysis is done. You’ll help define the vision and leverage some of the latest thinking and technology for structured and unstructured data analysis. You’ll turn that vision into code and models that will help our customers find new and unexpected ways to delight their customers and grow their businesses. You’ll do all this while keeping a constant eye on security, performance, and operational stability of our product.

Candidates should enjoy working in a collaborative, analytical, and fast-paced environment and be comfortable interacting with highly technical cross-functional teams. Ideal candidates dive deep into data, have strong communication skills, and can confidently prioritize and choose the right tradeoffs.

We are a remote-first team who meet quarterly for in-person working sessions. We welcome applicants from anywhere between the Pacific and Eastern time zones. We value critical thinking, curiosity, problem-solving, and an open and empathetic communication style. Personal and team growth is an integral part of Jozu. We love to learn and challenge ourselves, and always support each other as we grow. We are excited to take on tough challenges and celebrate together when we achieve our goals.

In this role, you’ll be able to:

• Help refine our vision for how and where AI/ML will benefit our customers most.
• Build, administer and scale new and existing AI/ML models and pipelines.
• Design, build, test and deploy new libraries, frameworks or full systems for our core systems while keeping to the highest standards of testing and code quality.
• Work with experienced engineers and product owners to identify and build tools to automate many large-scale data management / analysis tasks.
• Collaborate with data engineers to ensure robust data pipelines.
• Take on end-to-end ownership, from defining to developing to taking ML models to production.
• Implement data governance and quality control measures.
• Do your work with minimal meetings and remember what’s it’s like to do consistent deep work.

What you’ll need to succeed:

• Bachelor’s degree in computer science /information systems/engineering/related field.
• Strong understanding of Python.
• Proven track record of developing and deploying machine learning models.
• Experience with machine learning frameworks (e.g., TensorFlow, PyTorch).
• Excellent communication and collaboration skills, and the ability to work effectively in a team environment.
• A love of code simplicity and performance.

Ideally candidates will also have some of the following:

• Understanding of data architecture principles.
• Experience with Git and, ideally, GitOps.
• Experience with handling multi-tenanted data models and ML systems.
• Understanding of ML Projects lifecycle.
• Experience with Kubernetes, time series databases, Apache Pulsar, and APIs.

This role will allow you to accelerate your career growth, experiment with new technologies, and build your proficiency across multiple disciplines. It will enhance your analytical thinking, and give you a voice in the first and most critical decisions for a brand new product in a rapidly growing market. The ideal candidate feels at home with cloud-native technologies running across public, private, and hybrid clouds. We are using Kubernetes, eBPF, Kafka, serverless, gateways and data meshes, microservices, and declarative APIs.