Business Solutions Partner - Enterprise AI

Our Mission: 6sense's mission is to multiply what matters: growth, retention, and efficiency. We envision a future where companies, teams and people reach their full potential. Our People: People are the heart and soul of 6sense. We serve with passion and purpose. We live by our Being 6sense values of Win as One Team, Stay Curious, Do The Right Thing, Own the Outcome, and Create Belonging. Every 6sensor plays a part in defining the future of our industry-leading technology. 6sense is a place where difference-makers roll up their sleeves, take risks, act with integrity, and measure success by the value we create for our customers. We want 6sense to be the best chapter of your career. Enterprise AI Business Solutions Partner Business Solutions Partner — GTM & Finance Systems Location Costa Rica Function / Dept Business Technology — Enterprise Applications Reports to Director, Enterprise Applications Position Summary 6sense is seeking an Enterprise AI Business Solutions Partner to help transform how business functions leverage AI, automation, and enterprise technology to achieve their goals. This role sits at the intersection of business consulting, AI solution design, automation engineering, and value realization. You will partner with teams across Go-to-Market, Customer Success, Support, Legal, Finance, and Partner Operations to identify opportunities where AI and automation can simplify work, improve user experiences, reduce costs, and accelerate business outcomes. Unlike a traditional Business Systems Analyst or Business Solution Partner, this role is expected to move beyond requirements gathering. You will evaluate business processes, build proof-of-concepts, create AI agents, develop low-code automations, and validate business value before solutions are scaled into production. Working closely with the Enterprise AI Engineering team, you will translate complex business challenges into technical requirements and implementation plans while independently delivering design prototypes and lightweight solutions using platforms such as Microsoft Copilot, Claude, Workato, and other approved enterprise AI technologies. A successful candidate combines strong business analysis skills with hands-on technical aptitude. They can engage stakeholders, map workflows, build basic automations, create AI-powered solutions, measure outcomes, and communicate recommendations to both business and technical audiences. This is a growth role within a new Enterprise AI career track. You will work under the guidance of the Lead Enterprise AI Business Solutions Engineer and will be measured on business outcomes, including adoption, productivity gains, automation impact, cost avoidance, and process improvements. As you progress, you will take increasing ownership of a portfolio of business capabilities, including identifying, developing, delivering and maturing measurable AI-driven value. Responsibilities Tool Inventory & AI Efficiency Discovery • Build and maintain the AI and tool inventory for your assigned function: owner, use case, active users, annual cost, renewal date, AI features in use, contract exit terms and replacement feasibility. • Find where AI features we already pay for are unused, duplicated or overlap with other tools, and document the findings. • Track renewal dates and flag every contract at least 120 days before the notice date so a build-vs-buy decision can be made in time. • Run discovery interviews and working sessions with stakeholders to understand how work actually gets done, and surface the business problem behind the requested feature. • Map current processes and estimate the time spent, the number of people involved and the frequency, so every opportunity has a baseline. Build-vs-Buy Analysis & Business Cases • Prepare the inputs for build-vs-buy analysis: what the tool does, how deeply it is integrated, compliance burden, usage compared with cost, and realistic replacement scope. • Contribute to business cases that compare three-year build, run and support cost with vendor cost, working with the Lead and with Enterprise AI Engineers on the build side. • Agree baselines with business owners before work starts and record their sign-off, so savings and hours returned can be validated later. • Recommend which candidates to pursue first, using renewal timing, savings potential and build feasibility. Prototyping & Applied AI • Build prototypes and simple agents with Claude and Copilot to test whether a tool, or part of a workflow, can be replaced or improved. • Write clear, build-ready context for Enterprise AI Engineers: the process, the data involved, example inputs and outputs, acceptance criteria and edge cases. • Help define evaluation criteria, guardrails, human-in-the-loop checkpoints and escalation paths before anything reaches production. • Design the process around the AI: what changes for the seller, agent or analyst, what training is needed and how exceptions are han