LLM and model orchestration
Agent frameworks and tool usage
Context and data pipelines
AI evaluation and monitoring
Guardrails and governance frameworks
Build tools and abstractions that simplify AI development for product teams
Provide documentation and reusable building blocks
Reduce duplicated effort across teams
Define performance and reliability standards for AI systems
Work with engineering to optimize inference latency, cost, and scalability
Product teams can ship AI features faster
Reduced duplication of AI infrastructure
Reliable and scalable AI platform services
Consistent AI output quality across products
Technical PMs who enjoy building foundational systems
Builders who work closely with engineering and architecture
Product managers comfortable prototyping ideas and validating solutions quickly
Why Should You Join Us?
At HighLevel, we foster an exciting and dynamic work environment driven by a passionate team. We believe in a collective responsibility where no task is considered someone else's job. Our unwavering focus is on providing value to our users, and we achieve this by delivering solutions swiftly through lean principles, allowing us to bring products to market in a matter of weeks rather than quarters. Every good idea is put to the test, ensuring that we maintain a high standard of innovation. We prioritise the well-being of our team, recognizing that by taking care of them, they can better serve our users. We embrace the concept of continuous and iterative improvement, understanding that progress is an ongoing journey. We are also a well funded & profitable company
Join us at High Level, and you will have the opportunity to learn the intricacies of scaling a B2B SaaS startup and develop impactful products that cater to the needs of our customers
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us