At a Glance
- Tasks: Architect and deploy AI systems to supercharge sales and marketing efforts.
- Company: Join Flosum, a pioneering Salesforce-native platform transforming enterprise operations.
- Benefits: Competitive salary, performance bonuses, and access to top industry events.
- Other info: Dynamic, high-intensity environment with opportunities for significant impact.
- Why this job: Shape the future of AI in sales while working directly with the CEO.
- Qualifications: Experience deploying AI in B2B sales and strong knowledge of the GTM stack.
The predicted salary is between 60000 - 80000 £ per year.
Flosum is a Salesforce-native Dev Ops and data protection platform serving enterprise Salesforce teams across the Fortune 5000.
We are in wartime.
Pipeline generation, retention, and product velocity are our three highest-priority problems, and AI is the lever that accelerates all three.
We are hiring our first AI Go-to-Market Engineer to architect, deploy, train, and continuously optimize AI agents and automation across the entire revenue engine — from first touch to closed-won to expansion.
This is not a "prompt engineering" role.
This is a builder role.
You will sit at the intersection of revenue operations, sales, marketing, and customer success, and your job is to make every human on the GTM team dramatically more productive by deploying AI systems that generate pipeline, accelerate deals, and reduce churn.
You report directly to the CEO.
- WHAT THIS ROLE MUST DO TO CHANGE FLOSUM'S TRAJECTORY
- Deploy and personally train at least one AI SDR agent within the first 30 days — focused on either inbound qualification from Qualified/Marketo or outbound prospecting via Outreach — and run weekly refinement cycles until it outperforms the bottom half of the human BDR bench.
- Build an AI-powered inbound qualification system that captures, scores, and routes every website visitor and form fill in real time so no lead waits, no lead gets lost, and AEs only touch prospects that are ready to buy.
- Increase revenue-generating time per AE from the current ~25% to 50%+ by automating CRM hygiene, call summarization (via Gong), follow-up sequencing, proposal drafting, and pipeline updates — eliminating every minute of admin work that doesn't directly produce revenue.
- Architect the AI layer across Flosum's GTM stack (Salesforce, Marketo, Outreach, Qualified, Gong) so that data flows between systems without manual intervention, every customer touchpoint is captured, and AI agents share learnings in a virtuous loop with Salesforce as the hub.
- Build and maintain an AI-driven competitive intelligence engine that monitors our competition, pricing changes, and product launches — and feeds structured insights to sales and product weekly.
- Create hyper-personalized outbound campaigns at 10x current volume without proportional headcount increase — using AI to research accounts, generate personalized messaging based on ICP signals (Salesforce team size, current Dev Ops tooling, compliance requirements like DORA), and sequence multi-channel touches across email, Linked In, and phone.
- Instrument a closed-loop data feedback system between BDR activity, pipeline outcomes, and AI agent performance so that ICP targeting, messaging, and channel mix improve every week based on actual conversion data — not guesswork.
- Deploy AI-assisted customer health scoring and churn prediction models that flag at-risk accounts before renewal, feeding Terry's CS team with actionable intervention triggers tied to usage data, support ticket patterns, and engagement signals.
- Prototype AI-powered product-led growth touchpoints — including conversational qualification on the website, self-serve onboarding assistance, and automated nurture for trial users — supporting the PLG motion as it matures.
- Evaluate, select, and deploy no more than two AI vendors per use case using a structured bakeoff methodology: reference checks via email, FDE conversations before contract, and 30-day dedicated training commitments — no lazy agency deployments.
Hands-on experience deploying and training AI SDR/BDR agents in a real B2B sales environment — not evaluating, not advising, actually deploying and iterating weekly for at least 90 days.
Deep working knowledge of the modern B2B GTM stack — specifically Salesforce (as CRM and data hub), Marketo or equivalent MAP, Outreach or Salesloft, Gong or Chorus, and real-time chat/qualification tools like Qualified or Drift.
Ability to write and maintain production integrations — Python, Java Script, or equivalent — connecting AI agents to CRM, MAP, and sequencing tools via APIs.
You don't need to be a software engineer, but you need to ship working code, not just configure no-code tools.
Understanding of pipeline math and unit economics: you should be able to work backward from a revenue target to SQLs required, conversion rates by stage, and the specific AI interventions that move each number.
If someone says "we need 67 SQLs per quarter at 20% win rate and $75K ASD," you should immediately know where AI can compress that funnel.
Experience with AI agent orchestration — managing multiple AI agents working different segments or functions simultaneously, resolving conflicts, preventing duplicate outreach, and maintaining data quality in the hub (Salesforce).
Demonstrated ability to build prompt libraries, training datasets, and refinement workflows for AI agents — treating agent training as a discipline, not a one-time setup.
Comfort operating in a company doing ~$4M ARR with a small, high-intensity team.
You will not have a large support staff.
You will do the work yourself and scale through automation, not delegation.
Strong opinions on when AI should replace human effort versus augment it — and the judgment to know that bad AI automation destroys deals faster than no automation at all.
Familiarity with the Salesforce ecosystem — understanding of Dev Ops, CI/CD, data protection, and compliance workflows is a major advantage.
You don't need to be a Salesforce admin, but you need to understand what our buyers care about and why
- Why Flosum
- Category-defining opportunity: You will shape the future of how enterprises build on Salesforce. This is not incremental; it is transformational.
- Direct CEO partnership: You will work shoulder-to-shoulder with a founder who is deeply technical, product-obsessed, and committed to building the best platform in the Salesforce ecosystem.
- Fortune 100 customer base: Your product decisions will directly impact how the world's largest and most complex organizations operate.
- AI inflection point: Agentforce and autonomous agents are rewriting the rules.
Flosum is the first native platform to integrate these capabilities.
You will define what comes next.
- Missionary culture: We hire people who want to make a dent, not pad a resume. If you are looking for a place where your work matters and your ideas are heard, this is it.
Compensation & Benefits
- Competitive base salary + performance bonus
- Direct access to Salesforce ecosystem events, conferences (Dreamforce, Trailblazer DX), and customer engagement
Remote AI Go-to-Market Engineer (UK) in Bury employer: Flosum
Flosum is an exceptional employer that prioritises innovation and quality in software development, offering a dynamic work culture where technologists thrive. As a Remote Director of Software Engineering, you will lead a talented team in the UK, benefiting from a collaborative environment that fosters professional growth and encourages ownership. With a focus on delivering high-performance products, Flosum provides the autonomy to make impactful decisions while supporting your career advancement in a fast-paced, agile setting.
StudySmarter Expert Advice🤫
We think this is how you could land Remote AI Go-to-Market Engineer (UK) in Bury
✨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 Flosum 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 Flosum.
✨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 Flosum.
✨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 Flosum 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 Remote AI Go-to-Market Engineer (UK) in Bury
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 Flosum.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Flosum 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 Flosum
✨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 Flosum 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.