Business Solutions Partner - Enterprise AI

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 handled.
• Bring AI fluency to stakeholders: help non-technical teams understand what these tools can and cannot reliably do, and set realistic expectations.

Stakeholder Partnership

• Serve as the named Business Solutions Partner for your assigned function, and the point of contact for intake, priorities and status.
• Translate business needs into clear, buildable stories and acceptance criteria, and translate technical trade-offs back into language stakeholders can act on.
• Keep stakeholders informed on what is changing, what is being built and what may move more slowly during the transition.
• Escalate misalignment, scope drift and risk early to the Lead before they become executive issues.

Hands-On Salesforce & Delivery

• Configure and deliver declarative Salesforce solutions (flows, validation rules, record types, page layouts, permission sets, reports and dashboards) for small requests, with guidance on larger ones.
• Understand Apex, integrations and data model implications well enough to scope work accurately and hold a credible technical conversation with engineers.
• Own UAT for your function: define test scenarios, coordinate stakeholder testing and support release sign-off.
• Maintain accurate documentation of processes, solution designs and system dependencies.

Measurement & Ways of Working

• Track adoption (percent of target users active) for anything shipped in your function, and report what is working and what should be retired.
• Report hours returned and spend avoided using the agreed baseline, and flag figures that are not yet validated.
• Work in the team’s agentic delivery model: use the intake agent, async standups and automated sprint summaries instead of status meetings, and give feedback on what to improve.
• Contribute to team standards for the inventory, business case template and requirements.

Skills & Experience

Required

• 2–4 years of relevant experience as a business analyst, business solution partner, business systems analyst, Salesforce administrator or operations analyst supporting business stakeholders, preferably at a SaaS company.
• Hands-on Salesforce administration experience (Sales Cloud and/or Service Cloud), including Flow Builder, validation rules, permission sets and reporting.
• Salesforce Certified Administrator, or obtained within the first six months in the role.
• Daily, practical use of AI tools such as Claude, Copilot or similar, with solid prompt design and an understanding of their limits.
• Strong spreadsheet and data fluency: cleaning data, building summaries and sizing a problem.
• Process mapping and structured interviewing skills.
• Clear written and spoken English; able to present findings to U.S.-based stakeholders.
• Must be located in Costa Rica and able to maintain consistent working overlap with U.S. business hours.

Preferred

• Experience putting an AI or automation solution into a live business process, even a small one, and measuring the result.
• Familiarity with GTM processes (lead to cash, pipeline, forecasting) or Support operations (case management, routing, knowledge), or with Finance, Legal or Partner operations.
• Basic financial literacy: reading a vendor cost, comparing build and run cost, and calculating a payback period.
• Exposure to SQL, APIs or low-code tools; interest in using Claude Code under guidance.
• Salesforce Certified Advanced Administrator, Business Analyst or Agentforce Specialist.
• Experience in an Agile team; familiarity with Jira, Asana or similar.
• Bilingual English/Spanish.

What we value

• Curiosity and a bias to build and test, not just to document.
• Honesty about what is validated and what is an estimate.
• Comfort with change, since this track is new and will keep evolving.

How This Role Is Measured

• Accuracy and completeness of the tool inventory for your function.
• Percent of renewals in scope identified and reviewed at least 120 days before the notice date.
• Prototype quality, as rated by the stakeholder and the engineering lead.
• Hours returned and spend avoided on initiatives you support, validated by the business owner.
• Adoption of anything shipped in your function.

What Success Looks Like

First 90 days

• Inventory for your function is complete and reviewed with business owners.
• Renewal calendar for your tools is documented, with the next three renewals ranked by savings potential.
• Two or more stakeholder discovery sessions completed, with baselines drafted for the top opportunities.
• First prototype built with Claude or Copilot and reviewed with the Lead and an engineer.

First year

• Your stakeholder group treats you as its partner for systems and AI work and routes requests to you rather than escalating.
• At least two prototypes evaluated end to end, and at least one taken to production with Enterprise AI Engineers, with measured impact.
• At least one initiative with a documented baseline, business-owner sign-off and a validated hours-returned or spend-avoided number.
• Renewals for your function reviewed before notice dates, with a documented decision on each.
• You are operating toward IC4: leading a build-vs-buy analysis from discovery to recommendation with little guidance.