Senior Product Manager

Salt
Greater London
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist: Causal Analytics for Marketing AI

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Salt have just partnered with a market leading B2B SaaS scale-up, delivering AI generated content to leading Enterprise customers across the globe.


Having recently secured a latest funding round, they are looking for a Senior Product Manager to lead a squad owning the experience across the core product, focusing on their LLM technology.


More specifically, the Senior Product Manager will be owning symbolic (rule based) LLM and hybrid methods of generating short form content. You'll be tasked with iterating on the existing product and preparing the product for scale.


You'll be joining a talented product and tech team, passionate about technology and decisive in building a product that truly solves their customers pain points, at Enterprise scale.


Here are a few requirements regarding desirable experience:


  • A strong background in delivering B2B SaaS products, with tangible examples of delivering commercial outcomes.
  • Experience across email, messaging, or adtech products.
  • Strong attention to detail and highly customer focused.
  • Experience shipping products in a fast-paced software company.
  • Experience working with an AI platform would be a bonus.


This role will be based in London, primarily office based with most of the team doing 4 days+ in the office. For those based 2 hours from the office, more flexibility can be provided.


As part of the Interview process, that sits across 2 stages, you'll speak with their VP Product who the role reports into, a face to face meeting with the VP Product, CTO and CPO whilst presenting a case study based exercise.


If you're a Senior Product Manager, excited about the prospect of building cutting edge products leveraging generative AI and machine learning, who enjoys autonomy and an empowered product culture, then please apply today to discuss the position in more detail.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.