At a Glance
- Tasks: Architect and deploy AI systems to supercharge sales and marketing efforts.
- Company: Join Flosum, a pioneering Salesforce-native DevOps platform with a mission-driven culture.
- Benefits: Competitive salary, remote work flexibility, and direct access to the CEO.
- Other info: Dynamic startup environment with opportunities for rapid personal and professional growth.
- Why this job: Shape the future of AI in enterprise sales and make a real impact.
- 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 DevOps 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 DevOps tooling, compliance requirements like DORA), and sequence multi-channel touches across email, LinkedIn, 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, JavaScript, 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 DevOps, 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
Remote AI Go-to-Market Engineer (UK) in Essex employer: Flosum
Flosum is an exceptional employer that fosters a transformative work culture, where innovation and collaboration are at the forefront. As a Remote AI Go-to-Market Engineer, you will have the unique opportunity to work directly with the CEO, shaping the future of enterprise solutions on Salesforce while enjoying a supportive environment that prioritises employee growth and meaningful contributions. With a focus on automation and AI, Flosum empowers its team members to make impactful changes, ensuring that your work not only matters but also drives significant results for Fortune 100 clients.
StudySmarter Expert Advice🤫
We think this is how you could land Remote AI Go-to-Market Engineer (UK) in Essex
✨Tip Number 1
Get your networking game on! Connect with folks in the industry, especially those at Flosum or similar companies. LinkedIn is your best mate here; drop them a message, ask about their experiences, and show genuine interest in what they do.
✨Tip Number 2
Prepare for the interview like it’s the final boss level! Research Flosum’s products and their AI initiatives. Be ready to discuss how you can contribute to their mission of transforming the Salesforce ecosystem with your skills.
✨Tip Number 3
Show off your hands-on experience! If you've deployed AI solutions before, share specific examples during your conversations. Talk about the challenges you faced and how you overcame them — that’ll impress them!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the team and making an impact.
We think you need these skills to ace Remote AI Go-to-Market Engineer (UK) in Essex
Some tips for your application 🫡
Show Your Passion for AI:When you're writing your application, let your enthusiasm for AI and its potential in the sales world shine through. We want to see that you’re not just knowledgeable but genuinely excited about how AI can transform processes and drive results.
Be Specific About Your Experience:Don’t just list your previous roles; dive into the specifics of what you did. Share examples of how you’ve deployed AI solutions or automated processes in past jobs. We love seeing concrete achievements that demonstrate your ability to make an impact.
Tailor Your Application:Make sure your application speaks directly to the role. Use keywords from the job description and relate your skills to the specific challenges we face at Flosum. This shows us that you understand our needs and are ready to tackle them head-on.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our company culture and values!
How to prepare for a job interview at Flosum
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI systems and how they can be applied in a B2B sales environment. Be ready to discuss specific examples of AI agents you've deployed or trained, and how they improved productivity or revenue generation.
✨Understand the GTM Stack
Familiarise yourself with the tools mentioned in the job description, like Salesforce, Marketo, and Outreach. Be prepared to explain how you would architect the AI layer across these platforms to streamline processes and enhance data flow.
✨Showcase Your Problem-Solving Skills
Flosum is looking for someone who can tackle their pipeline generation and retention challenges. Think of concrete strategies you could implement to increase AE productivity and reduce churn, and be ready to share these ideas during the interview.
✨Demonstrate Your Hands-On Experience
Since this role requires practical experience, come prepared with examples of your past work. Discuss how you've built and maintained AI systems, including any coding you've done, and how you iterated on those systems based on performance data.