[Hiring] Director, Business Solutions @6sense

Role Description

Lead the strategy, delivery and continuous improvement of 6sense’s enterprise applications, turning business priorities into secure, scalable platforms and measurable outcomes. This is a business transformation leadership role—not simply an application administration or project delivery role.

The Director will partner with Go-to-Market, Customer Success, Support, Finance, Legal and Partner Operations to simplify processes, strengthen data quality and controls, and improve how work gets done. AI fluency and applied AI delivery are core requirements: the role must identify where AI creates value, where conventional automation is better, and where human judgment must remain accountable.

Responsibilities & Accountabilities

• Enterprise Strategy & Business Partnership
  • Own a business-aligned application roadmap and investment portfolio, balancing growth, operational efficiency, risk, user experience and technical debt.
  • Partner with functional leaders to define business problems, accountable process owners, funding, expected benefits and adoption commitments before delivery begins.
  • Run transparent prioritization and portfolio reviews; challenge low-value requests and communicate trade-offs, dependencies and decisions clearly.
• AI-Enabled Business Transformation
  • Build a prioritized portfolio of AI and automation opportunities across business workflows, starting with process redesign and data readiness rather than tool selection.
  • Lead build-versus-buy-versus-configure decisions with Enterprise AI Engineering, application owners, Security, Legal and Finance.
  • Set standards for discovery, prototypes, evaluation, user acceptance testing, rollout and value realization. Require evidence before moving pilots into production.
  • Champion practical AI adoption through training, workflow changes and feedback loops; distinguish estimated benefits from validated outcomes.
  • Ensure AI-enabled workflows have defined permissions, human approval points, monitoring, escalation and safe fallback paths.
• Application Architecture, Delivery & Reliability
  • Lead business solutions partners, delivery leaders, engineers and administrators through clear ownership, shared standards and sustainable delivery practices.
  • Guide architecture for Salesforce and connected GTM and Finance systems, prioritizing maintainability, reusable integrations and trusted data flows.
  • Establish disciplined release management, testing, documentation, incident response and recovery practices for business-critical applications.
  • Reduce redundant tools, fragile integrations, legacy customizations and unsupported components; manage lifecycle and vendor dependencies.
• Governance, Security & Financial Stewardship
  • Partner with Security, Privacy and Legal to embed access controls, segregation of duties, auditability, data protection and risk reviews into delivery and operations.
  • Align application AI use cases with 6sense’s AI Management System and applicable approval processes; document risks, controls and ownership before deployment.
  • Own application budgets, license utilization, vendor performance and total cost of ownership; consider AI usage costs as well as subscription and integration costs.
• Leadership & Operating Model
  • Develop an accountable, learning-oriented team with strong business consulting, application engineering and applied AI capabilities.
  • Build capacity plans and effective partnerships across distributed teams and service providers.
  • Establish a product-oriented operating model that owns outcomes after launch, not just project completion.
  • Provide executive-ready reporting on portfolio health, delivered value, reliability, spend, adoption and risk.
  • Create quarterly OKRs.

Qualifications

• 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.
• Evaluation and economics: Define representative test cases, quality thresholds, failure modes, human review requirements and production monitoring.
• Responsible AI: Recognize risks including inaccurate outputs, sensitive-data exposure, prompt injection, excessive permissions and overreliance.
• Adoption leadership: Teach teams how to use approved AI capabilities responsibly, redesign workflows around them and validate sustained benefits.

Requirements

• 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.

Preferred 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.
• Relevant application, architecture, change management or AI governance certifications.

Success Measures

• Evidence of Success
• Validated reduction in manual effort, process cycle time or rework; benefits confirmed by the business owner and separated from estimates.
• Useful production adoption, evaluation results, exception rates and sustained workflow improvements—not pilot counts alone.
• Service reliability, incident recovery, release quality and reductions in technical debt and integration failures.
• Documented ownership, completed risk reviews, effective controls, audit readiness and improvements in critical data quality.
• Transparent portfolio spend, improved license utilization and realized value relative to total operating cost.
• Predictable delivery, stakeholder confidence, clear accountability and stronger application and AI skills across the team.

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.

Benefits

• Health coverage
• Paid parental leave
• Generous paid time-off and holidays
• Quarterly self-care days off
• Stock options
• Support for equipment and connectivity
• Access to LinkedIn Learning platform
• Quarterly wellness education sessions

Equal Opportunity Employer

6sense is an Equal Employment Opportunity and Affirmative Action Employers. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status.