Director, Business Solutions

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.

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. 

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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

Set baselines and agree targets with business owners after assessing the portfolio. The following are proposed measures, not existing commitments.