Product Manager (LLM)

Cytora UK,Spain,Austria,Ireland

Company

Cytora

Location

UK,Spain,Austria,Ireland

Type

Full Time

Job Description

Cytora is the digital risk processing AI-powered platform that enables commercial insurers to digitise all interactions with brokers enabling optimised risk workflows and control over the target portfolio. Cytora brings together the data processes and people enabling insurers to create multi-step risk flows that maximise efficiency and differentiate how risks are processed according to risk appetite portfolio and automation objectives.

Our LLM service underpins our Generative AI powered risk digitization platform. Its purpose is two-fold.

  • Provide a single interface for all internal services to utilise Large Language Models (irrespective of foundational model) at scale.

  • Provide a task development and execution platform for LLM based tasks.

You will transform the team as they increasingly take responsibility for the development of what we call our domain specific tasks e.g. file classification data extraction and inference. You will work with our software engineers and data scientists to harness the latest technical developments in Large Language Models such as agentic workflows to deliver best in class performance and scalability.

Key Responsibilities:

  • Product Strategy & Roadmap: Contribute to the overall product strategy and develop a detailed roadmap for your assigned product area aligned with the company's vision.

  • User Research & Analysis: Conduct user research analyze user data and gather market insights to understand user needs and identify opportunities for product improvement.

  • Market Research & Analysis: Conduct thorough market research competitive analysis and customer discovery to identify opportunities and unmet needs. Stay up-to-date on industry trends and emerging technologies particularly within the AI/LLM landscape.

  • Requirements Gathering & Prioritisation: Elicit analyse and document product requirements user stories and acceptance criteria. Prioritise features and functionalities based on business value technical feasibility and user impact.

  • Product Development & Execution: Collaborate closely with engineering data and design functions throughout the entire product development lifecycle from ideation to launch. Ensure timely and high-quality product delivery.

  • Communication & Collaboration: Communicate product vision roadmap and progress effectively to stakeholders across the organisation. Foster strong cross-functional collaboration and build consensus.

A successful candidate will likely:

  • Be comfortable as an explorer - LLM technology is rapidly evolving and this role involves working at the frontier of that

  • Be a builder - you are technically confident like to be hands on and prototype your own ideas

  • Have experience working with mixed data science/engineering teams.

  • Be curious and able to develop a strategy for a feature based on your own experience and user research

  • Discuss feasibility and refine the strategy with our engineering and data science teams

  • Negotiate scope and balance this with desired delivery date

  • Be able to form their own opinions on feature vision and debate pros and cons both within the product team and with engineering

  • Take the lead on delivering a feature from idea to production

  • We operate on a strong opinions weakly held belief model that influences how we develop products you probably have a similar way of working

Benefits

  • Stock options

  • Private health insurance (UK Only)

  • Choice of laptop

  • Flexi-working

  • Work from anywhere budget

  • L&D Budget

  • Offsites

Location

Cytora are a remote-first company. You can be located anywhere in the UK/Europe (Spain Austria or Ireland) for this role.

Equal Opportunities

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race religion colour national origin gender sexual orientation age marital status veteran status or disability status.

Apply Now

Date Posted

12/03/2024

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