Careers
AI moves fast and it never stands still. New models, integrations, and capabilities emerge constantly, and businesses of every size need a trusted partner who knows how to implement them and keep improving. FutureInSites works across the full AI lifecycle with clients ranging from solo professionals to large enterprises. If you want to develop deep expertise across AI strategy, execution, and ongoing optimization, you will find no better place to do it.
FutureInSites is building out its go-to-market function, and this is the first dedicated sales hire. You will own the full new business cycle: sourcing, qualifying, running discovery, proposing, and closing. Our engagements range from focused workshop offerings (the BCT Workshop, AI Transformation Session) to full strategy and implementation contracts, and critically, to ongoing optimization and advisory retainers that keep clients current as AI continues to evolve. Growing initial engagements into long-term partnerships is central to the FIS model, and a meaningful part of what this role is responsible for developing.
This is a consultative, relationship-first role. You are not selling software licenses. You are helping business leaders understand what AI can do for their specific organization and earning the right to help them do it. The buyer is typically the CEO, COO, or CIO of a mid-size company, someone who is AI-curious, has budget authority, and wants a trusted partner, not a vendor.
AI strategy is one of the most in-demand services in the market right now, and FutureInSites sells it from a position of genuine technical depth and real client outcomes. You will be joining at the ground floor of a growing practice, working directly alongside the principals who built it, with real influence over how the sales function is structured and scaled.
Forward Deployed Engineers at FutureInSites are the practitioners who turn AI strategy into working systems, keeping them growing. This enterprise-track role is for experienced engineers who can operate with autonomy inside complex organizations: navigating technical debt, managing stakeholders, building from prototype to production, and enabling client teams to operate and expand what gets built. Client relationships are built to last; you will be involved well beyond initial launch, returning to optimize, scale, and integrate new capabilities as AI continues to evolve.
You will work across the full FIS engagement lifecycle, from the technical scoping in our BCT Workshop through implementation under the Assess-Plan-Build model. This means you move fluidly between strategy conversations and architecture decisions, between stakeholder presentations and pull requests. Enterprise engagements involve organizations with 500+ employees, established (and often legacy) tech stacks, multi-department stakeholders, and genuine enterprise security and governance requirements.
This is not a back-office engineering job. You will work at the frontier of what AI can do in production, across more industries and company types than you would encounter in any single-company role. AI is advancing fast. New integrations, plugins, and model capabilities emerge constantly, and you will be implementing them for real businesses before most practitioners have heard of them. And because our client relationships are built for the long term, you will see what happens after launch: the refinements, the expansions, the moment when AI becomes genuinely central to how a business runs.
The SMB and Personal track at FutureInSites covers two related audiences: small and mid-size businesses (typically 10 to 200 employees) looking to deploy AI across their operations, and individual executives and professionals who want a personal AI agent configured specifically for how they work.
This role is part engineer, part coach, part long-term technical partner. You will configure AI environments, build lightweight automations and agent workflows, and enable clients to operate and grow them over time. The pace is faster, the stacks are simpler, and the relationship is more direct than on the enterprise side. You will often be working with a founder or a small leadership team, people who make decisions quickly and need a trusted partner who keeps showing up as their AI practice matures.
Personal AI engagements include setting up always-on AI assistants for executives: integrating with their Gmail, Google Calendar, Telegram, and document tools, and configuring the agent to match their workflow, tone, and priorities. This is a growing part of the FIS offering and requires genuine care for the human side of the setup, not just the technical side.
There are very few jobs where you get to watch someone's work life change because of something you built in a week, and then stay involved as they grow into it. You will work with more different kinds of people, in more different kinds of businesses, than almost any other AI role in the market. And because AI keeps evolving, the work never plateaus; there is always a new integration to roll out, a new model capability to adopt, a new workflow to optimize for a client who is counting on you to keep them current.