GTM Engineer

GTM Engineer

Full-Time 63000 - 77000 £ / year (est.) Hybrid
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At a Glance

  • Tasks: Own and scale the Commercial AI Hub, transforming how teams work with AI tools.
  • Company: Join Plentific, a leading tech company revolutionising property management.
  • Benefits: Enjoy competitive salary, flexible working, private healthcare, and generous holiday.
  • Other info: Dynamic scale-up environment with excellent career growth and team collaboration.
  • Why this job: Make a real impact in the property sector while learning cutting-edge AI technologies.
  • Qualifications: 3-5 years in GTM or RevOps, with hands-on experience in AI tools preferred.

The predicted salary is between 63000 - 77000 £ per year.

About Us

Plentific is redefining how property is managed in real time. Our cloud-based platform, supply chain and services help landlords run repairs, maintenance and compliance faster, with the data to make decisions instantly. In the UK, we partner with housing associations and local authorities to tackle the sector's biggest challenges: repairs performance, disrepair, damp and mould, compliance and tenant satisfaction. We're backed by world-class investors including Noa, Highland Europe, Brookfield, Mubadala, RXR Digital Ventures and Target Global. Headquartered in London with a global outlook, we're working towards managing over 2 million properties through our platform.

The Role

As Commercial AI Ops (GTM Engineer), you'll help change how Plentific's commercial teams work. You'll sit within the Strategy & Go-to-Market team and own the Commercial AI Hub end to end: the skills, automations and AI capabilities that Sales, Customer Success, Marketing and RevOps use every day. The Commercial AI Hub is already live and in use. Your job is to scale it. That means prioritising the roadmap, turning business problems into clear requirements, building and shipping new capabilities, and driving adoption across the commercial organisation. You'll build most things yourself with low-code and AI-native tools. For integrations and larger projects, such as a shared commercial knowledge base or “second brain”, you'll design the solution and then - where required - work with IT and Engineering to deliver it. Alongside the Hub, you'll support commercial leadership on target account prioritisation and sales outreach coordination, and help design and improve the commercial processes the team runs on. This role suits someone who is commercially minded, structured in how they solve problems, and keen to learn how AI can change the way a B2B team sells and serves customers. This role is based in London (hybrid).

Responsibilities

  • Own the Commercial AI Hub end to end: roadmap, prioritisation, delivery and adoption
  • Work with Sales, Customer Success, Marketing, Supply Chain and RevOps to find, size and prioritise high-value AI use cases
  • Gather requirements and turn them into clear scopes, with defined phasing and acceptance criteria
  • Build and ship skills, automations and AI capabilities with tools such as Claude Cowork, Claude Code and workflow automation platforms
  • Design larger or integration-heavy projects (e.g. connectors to core systems, a shared knowledge base or “second brain”) and work with IT and Engineering to implement them
  • Drive adoption by onboarding users, gathering feedback and iterating on what's live
  • Safeguard compliance with AI governance, data protection (GDPR) and InfoSec/IT standards, working closely with IT on approved tools, access and guardrails
  • Support commercial leadership with target account list prioritisation through structured analysis, data enrichment and recommendations
  • Coordinate sales outreach plays with Sales and Marketing, keeping execution aligned and on track, with scope to automate outreach plays over time
  • Map, design and improve commercial processes, and find where AI or automation can remove friction
  • Give senior commercial leadership clear updates, analysis and recommendations

Skills

  • Hands-on, builder mindset: you'd rather prototype something than write a long deck about it
  • Strong grasp of low-code, automation and AI tooling, including prompting, workflow design and light scripting
  • Able to turn ambiguous business problems into clear requirements and working solutions
  • Strong stakeholder management: you can influence and align teams without direct authority
  • Structured, analytical approach to problem-solving and prioritisation
  • Commercial acumen and an understanding of B2B GTM motions
  • A strong drive to learn and experiment with new AI tools as the field moves

Experience and Qualifications

  • Around 3–5 years in GTM, RevOps, sales operations, commercial strategy or consulting
  • Track record of delivering cross-functional initiatives or internal tooling that people actually use
  • Experience working with Sales, Marketing, Customer Success and/or RevOps teams
  • Hands-on experience with Claude Cowork and Claude Code is strongly preferred. Side projects and personal builds count. Your willingness to learn matters more than your current depth.
  • Background in management consulting or a highly structured environment is a plus
  • Experience in B2B SaaS or other high-growth technology businesses preferred
  • Bonus points for experience with Salesforce, Salesloft (or other outreach solutions), N8N, Clay, B2B sales in public sector / housing

Benefits

  • Competitive base salary with uncapped OTE
  • 25 days annual holiday
  • Flexible working, including a work abroad scheme
  • Private healthcare for you and immediate family, with discounted gym membership, optical, dental and private GP
  • Enhanced parental leave
  • Life insurance (4x salary)
  • Pension scheme
  • Employee assistance programme
  • Company volunteering day and charity salary sacrifice scheme
  • Learning platform powered by Udemy
  • Referral bonus and charity donation if someone you introduce joins
  • Season ticket loan, Cycle to Work, electric vehicle and Techscheme programmes
  • Company-sponsored lunches, dinners and social events, plus a fully stocked kitchen

GTM Engineer employer: Plentific

Plentific is an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation in the heart of London. With a strong focus on employee growth, you will have access to continuous learning opportunities and the chance to work with cutting-edge technologies like AWS, Terraform, and Ansible. Join us to be part of a team that values your contributions and supports your professional development in a vibrant city known for its tech scene.

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Contact Details:

Plentific Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land GTM Engineer

✨Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Plentific or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

✨Contribute to Open Source Projects

Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Plentific.

✨Tap into Online Developer Communities

Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Plentific.

✨Explore Job Boards Specifically for Tech Roles

Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Plentific that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!

We think you need these skills to ace GTM Engineer

Commercial Acumen
Low-Code Development
AI Tooling
Workflow Design
Stakeholder Management
Analytical Problem-Solving
Project Management

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Plentific.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Plentific and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at Plentific

✨Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

✨Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Plentific uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

✨Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

✨Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.