AI Go-to-Market Engineer

This is a fully remote position, open to applicants in Poland.

📋 Description

• Within the first 30 days, deploy and personally train at least one AI SDR agent, focusing on either inbound qualification through Qualified/Marketo or outbound prospecting using Outreach. Conduct weekly refinement cycles until the agent outperforms the lower half of the human BDR team.

• Develop an AI-enhanced inbound qualification system that captures, scores, and routes every website visitor and form submission in real-time, ensuring no lead is neglected, lost, and that AEs only engage with prospects who are ready to make a purchase.

• Enhance the revenue-generating time for each AE from the current ~25% to over 50% by automating CRM maintenance, call summaries (via Gong), follow-up sequences, proposal drafting, and pipeline updates, effectively eliminating every minute of administrative work that does not directly contribute to revenue.

• Design the AI infrastructure across Flosum's GTM stack (Salesforce, Marketo, Outreach, Qualified, Gong) to ensure seamless data flow between systems without manual intervention, capturing every customer interaction, and allowing AI agents to share insights in a continuous feedback loop with Salesforce as the central hub.

• Create and sustain an AI-driven competitive intelligence engine to monitor competitors, track pricing changes, and product launches, providing structured insights to the sales and product teams on a weekly basis.

• Generate highly personalized outbound campaigns at ten times the current volume without a proportional increase in headcount. Leverage AI to research accounts, generate tailored messaging based on ICP signals (such as Salesforce team size, current DevOps tools, compliance requirements like DORA), and coordinate multi-channel outreach across email, LinkedIn, and phone.

• Implement a closed-loop data feedback system linking BDR activity, pipeline outcomes, and AI agent performance, allowing improvements in ICP targeting, messaging, and channel mix every week based on actual conversion data rather than assumptions.

• Deploy AI-assisted customer health scoring and churn prediction models that identify at-risk accounts prior to renewal, providing Terry's CS team with actionable intervention triggers based on usage data, support ticket trends, and engagement signals.

• Prototype AI-powered product-led growth touchpoints, including conversational qualification on the website, self-service onboarding assistance, and automated nurturing for trial users, to support the maturation of the PLG motion.

• Assess, select, and implement no more than two AI vendors per use case through a structured bake-off methodology: conducting reference checks via email, engaging in FDE conversations before contract signing, and committing to 30 days of dedicated training — avoiding any lazy agency deployments.

⛳️ Requirements

• Proven experience in deploying and training AI SDR/BDR agents in a genuine B2B sales environment — not just evaluating or advising, but actively deploying and iterating weekly for a minimum of 90 days.

• Comprehensive understanding of the modern B2B GTM stack — particularly Salesforce (as the CRM and data hub), Marketo or a similar MAP, Outreach or Salesloft, Gong or Chorus, and real-time chat/qualification tools such as Qualified or Drift.

• Proficiency in writing and maintaining production integrations — using Python, JavaScript, or a similar language — to connect AI agents to CRM, MAP, and sequencing tools via APIs. While you don't need to be a software engineer, you should be capable of delivering functional code, not merely configuring no-code tools.

• Strong grasp of pipeline mathematics and unit economics: you should be able to reverse-engineer from a revenue target to the required SQLs, conversion rates at each stage, and specific AI interventions that influence each metric.

• Experience in orchestrating AI agents — managing multiple agents operating in different segments or functions simultaneously, resolving conflicts, preventing duplicate outreach, and ensuring data quality in the hub (Salesforce).

• Proven ability to create prompt libraries, training datasets, and refinement workflows for AI agents — treating agent training as a discipline rather than a one-off setup.

• Comfort working in an organization generating approximately $4M ARR with a small, high-intensity team. You will not have a large support staff; you will personally handle tasks and scale through automation rather than delegation.

• Strong convictions on when AI should replace human effort versus augment it — with the judgment to understand that poor AI automation can hinder deals faster than no automation at all.

• Familiarity with the Salesforce ecosystem — a basic understanding of DevOps, CI/CD, data protection, and compliance workflows is a significant advantage. You don't need to be a Salesforce admin, but you should comprehend what our buyers prioritize and why.

🏝️ Benefits

• A category-defining opportunity: You will influence the future of how enterprises operate on Salesforce.

• Direct partnership with the CEO: You will collaborate closely with a founder who is highly technical, product-focused, and dedicated to building the premier platform within the Salesforce ecosystem.

• Access to a Fortune 100 customer base: Your product decisions will have a direct impact on how the world’s largest and most complex organizations function.

• AI inflection point: Agentforce and autonomous agents are changing the game. Flosum is the first native platform to integrate these capabilities, and you will help define what comes next.

• Mission-driven culture: We hire individuals who aspire to make a difference rather than just enhance their resumes. If you seek a place where your contributions matter and your ideas are valued, this is the right environment for you.

• Competitive base salary plus performance bonus.

• Direct access to Salesforce ecosystem events, conferences (Dreamforce, TrailblazerDX), and customer engagement opportunities.