6sense - Director, Business Solutions

• AI Competency — Essential, Not Optional • Applied delivery: Demonstrated experience taking an AI-enabled business workflow from discovery through production, adoption and measured results—not only personal use of AI tools. • Solution judgment: Explain the trade-offs among deterministic automation, embedded SaaS AI, retrieval-augmented generation and agentic workflows; know when AI should not be used. • Technical fluency: Understand large language model limitations, grounding, context design, APIs, integration platforms and permission-aware tool access. Be able to review prototypes and challenge architecture with engineering partners; model research expertise is not required. • Evaluation and economics: Define representative test cases, quality thresholds, failure modes, human review requirements and production monitoring. Compare business value with implementation, usage, maintenance and oversight costs. • Responsible AI: Recognize risks including inaccurate outputs, sensitive-data exposure, prompt injection, excessive permissions and overreliance. Translate risk findings into controls and deployment decisions with the appropriate specialists. • Adoption leadership: Teach teams how to use approved AI capabilities responsibly, redesign workflows around them and validate sustained benefits. • Enterprise Applications & Leadership • Substantial progressive experience leading enterprise applications or business systems, including people leadership, portfolio ownership and cross-functional transformation. • Strong Salesforce ecosystem knowledge and experience connecting revenue and finance processes across enterprise systems. • Proven ability to translate ambiguous business needs into roadmaps, investment decisions and reliable delivery. • Working knowledge of integration architecture, data governance, secure application lifecycle practices, change management and operational resilience. • Commercial discipline in budgeting, vendor negotiations, licensing and value realization. • Clear executive communication, strong stakeholder management and the ability to build trust while challenging assumptions. • Relevant degree or equivalent practical experience. • Leadership in a SaaS or similarly fast-changing business environment. • Experience with quote-to-cash, customer lifecycle and financial operations transformation. • Exposure to Workato, Microsoft 365 Copilot, Claude Enterprise or comparable enterprise AI and automation capabilities; tool familiarity alone does not establish AI proficiency. • Relevant application, architecture, change management or AI governance certifications. • Success Measures • Success Measures • Set baselines and agree targets with business owners after assessing the portfolio. The following are proposed measures, not existing commitments. • Outcome • Evidence of Success • Evidence of Success • Business valueValidated reduction in manual effort, process cycle time or rework; benefits confirmed by the business owner and separated from estimates. • Business value • AI quality and adoptionUseful production adoption, evaluation results, exception rates and sustained workflow improvements—not pilot counts alone. • AI quality and adoption • Platform healthService reliability, incident recovery, release quality and reductions in technical debt and integration failures. • Platform health • Governance and dataDocumented ownership, completed risk reviews, effective controls, audit readiness and improvements in critical data quality. • Governance and data • Financial disciplineTransparent portfolio spend, improved license utilization and realized value relative to total operating cost. • Financial discipline • Delivery and capabilityPredictable delivery, stakeholder confidence, clear accountability and stronger application and AI skills across the team. • Delivery and capability • Initial Priorities • Initial Priorities • First 30 days: Assess business priorities, application ownership, team capabilities, architecture, spend and critical risks; establish baseline measures. • Days 31–60: Agree portfolio priorities, clarify decision rights with IT and Enterprise AI Engineering, and select a small set of high-value AI or automation opportunities. • Days 61–90: Establish delivery and governance routines; advance a selected use case through evaluation and readiness review, with adoption and measurement plans. • Base Salary Range: $211,085.25 - $272,591.70. The base salary range represents the anticipated low and high end of the base salary range for this position. Actual salaries may vary and may be above or below the range based on various factors, including but not limited to work location and experience. The base salary is one component of 6sense’s total compensation package for this position. Other compensation may include a bonus program or commission plan, and stock options if approved by 6sense’s board. In addition, 6sense provides a variety of benefits, including generous health insurance coverage, life, and disability insurance, a 401K employer matching program, paid holidays, self-care days, and paid time off (PTO). #Li-remote • Notice of Collection and Use of Personal Information for California Residents: California Recruitment Privacy Notice and Policy