About the role:
Forter is looking for a Senior Software Engineer to join the AI Engineering team in a role focused on embedding directly with business teams to drive AI transformation. This role is outward-facing: you will sit alongside GTM and G&A functions — Sales, Marketing, Finance, HR, Legal, Customer Success — and fundamentally alter how these teams operate with AI.
Departments outside of R&D are still early in their AI journeys, and they need technically strong partners who can understand their workflows, identify the highest-leverage opportunities, and build the solutions that actually change how work gets done. If you see the value in sitting with a business leader, understanding a painful manual process, and shipping something in a week that saves hundreds of hours, then this role is for you.
What you will be doing:
- Embed with GTM and G&A teams (Sales, Marketing, Finance, HR, Legal, Procurement, Customer Success) to identify, scope, and prioritize the highest-impact AI opportunities within each function, and act as both product manager and engineer for these initiatives.
- Own the full lifecycle of each solution, from requirements gathering through deployment to adoption measurement and iteration, with a focus on business outcomes.
- Serve as the primary technical partner and AI advisor for business function leaders, translating their needs into engineering plans and helping them develop their own AI fluency.
- Develop and deliver hands-on AI enablement and training for non-R&D teams, building their ability to use AI tools independently and effectively.
- Collaborate with the team to leverage shared infrastructure (MCP servers, RAG systems, evaluation frameworks, guardrails) while feeding back requirements from the field.
- Measure and report on AI adoption impact — quantifying time saved, process improvements, and capability gains — to build the case for continued investment and to guide prioritization.
Who are you?
- 7+ years of software engineering experience, with a strong track record of shipping production systems.
- Demonstrated experience working directly with non-technical teams to deliver technology-driven transformation.
- Exceptional communication skills: you can run a discovery session with a VP of Sales, write a clear project brief, present results to an executive audience, and pair with a junior analyst on prompt engineering, all in the same week.
- Strong product instincts. You naturally think in terms of user problems, adoption, and measurable outcomes rather than technical elegance for its own sake.
- Comfortable with ambiguity and self-direction. You won't have a detailed backlog handed to you; you'll build it by understanding the business.
- Passionate about LLMs, prompt engineering, and AI application patterns (RAG, agents, tool use).
It’d be really cool if you also:
- Have led or played a central role in an AI or digital transformation initiative, with measurable results you can speak to.
- Have experience in product management, solutions engineering, or technical consulting roles in addition to software engineering.
- Are familiar with GTM/G&A tooling ecosystems (CRM, ERP, BI platforms, HRIS, marketing automation) and understand how AI can augment them.
- Have hands-on experience with agentic patterns (Claude Code, MCP, Strands Agents or similar), RAG systems, and evaluation frameworks.
- Have built internal AI tools or chatbots that non-technical users actually adopted and continued using.
- Have experience designing and delivering technical training or enablement programs.