Director, Business Solutions

6sense

6d•$211,085 - $272,592•Remote

About The Position

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, rather than an application administration or project delivery role. The Director partners 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, including identifying where AI creates value, where conventional automation is preferable, and where human judgment must remain accountable. The role owns a business-aligned application roadmap and investment portfolio; leads AI-enabled business transformation; guides application architecture, delivery, and reliability; and partners on governance, security, and financial stewardship. It develops an accountable team and product-oriented operating model, manages application budgets and vendors, and reports on portfolio health, value, reliability, spend, adoption, and risk. The position reports to the Chief Security and Business Technology Officer. Initial priorities include assessing business priorities, application ownership, team capabilities, architecture, spend, and critical risks during the first 30 days; agreeing portfolio priorities and selecting high-value AI or automation opportunities by days 31–60; and establishing delivery and governance routines while advancing a selected use case through evaluation and readiness review by days 61–90.

Requirements

Demonstrated experience taking an AI-enabled business workflow from discovery through production, adoption, and measured results.
Ability to explain trade-offs among deterministic automation, embedded SaaS AI, retrieval-augmented generation, and agentic workflows, and to identify when AI should not be used.
Technical fluency in large language model limitations, grounding, context design, APIs, integration platforms, and permission-aware tool access; ability to review prototypes and challenge architecture with engineering partners.
Ability to define representative test cases, quality thresholds, failure modes, human review requirements, and production monitoring, and compare business value with implementation, usage, maintenance, and oversight costs.
Ability to recognize responsible AI risks, including inaccurate outputs, sensitive-data exposure, prompt injection, excessive permissions, and overreliance, and translate findings into controls and deployment decisions with specialists.
Ability to teach teams 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 ability to build trust while challenging assumptions.
Relevant degree or equivalent practical experience.

Nice To Haves

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.

Responsibilities

Own a business-aligned application roadmap and investment portfolio, balancing growth, efficiency, risk, user experience, and technical debt.
Partner with functional leaders to define business problems, process ownership, funding, expected benefits, and adoption commitments before delivery.
Run transparent prioritization and portfolio reviews; challenge low-value requests and communicate trade-offs, dependencies, and decisions.
Build a prioritized portfolio of AI and automation opportunities, beginning with process redesign and data readiness.
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 pilots enter production.
Promote responsible AI adoption through training, workflow changes, and feedback loops, and 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 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, including AI usage, subscription, and integration costs.
Develop an accountable, learning-oriented team with 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.
Assess business priorities, application ownership, team capabilities, architecture, spend, and critical risks; establish baseline measures during the first 30 days.
Agree portfolio priorities, clarify decision rights with IT and Enterprise AI Engineering, and select high-value AI or automation opportunities during days 31–60.
Establish delivery and governance routines and advance a selected use case through evaluation and readiness review, including adoption and measurement plans, during days 61–90.

Benefits

Health coverage and generous health insurance coverage
Paid parental leave
Generous paid time off (PTO) and paid holidays
Quarterly self-care days off
Life insurance
Disability insurance
401(k) employer matching program
Stock options, if approved by 6sense’s board
Equipment and support for working and connecting with teams at home or in an office
Learning and development initiatives, including access to LinkedIn Learning
Quarterly wellness education sessions
Wellness days and ERG-hosted events