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6sense

AI-driven ABM platform with predictive analytics

Director Business Solutions

Enterprise ApplicationsConfirmed live in the last 24 hours
Full-timeRemote in USA

About the Job

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 artificial intelligence, retrieval-augmented generation and agentic workflows, including when artificial intelligence should not be used.
  • Understanding of large language model limitations, grounding, context design, application programming interfaces, integration platforms and permission-aware tool access; ability to review prototypes and challenge architecture with engineering partners. Model research expertise is not required.
  • 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 artificial intelligence risks, including inaccurate outputs, sensitive-data exposure, prompt injection, excessive permissions and overreliance, and translate risk findings into controls and deployment decisions with appropriate specialists.
  • Ability to teach teams to use approved artificial intelligence 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 and stakeholder management, with the ability to build trust while challenging assumptions.
  • Relevant degree or equivalent practical experience.

Responsibilities

  • 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 artificial intelligence 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 artificial intelligence adoption through training, workflow changes and feedback loops; distinguish estimated benefits from validated outcomes.
  • Ensure artificial-intelligence-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 go-to-market 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 artificial intelligence 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 artificial intelligence usage costs, subscriptions and integration costs.
  • Develop an accountable, learning-oriented team with strong business consulting, application engineering and applied artificial intelligence 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 objectives and key results.

Desired Qualifications

  • 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 artificial intelligence and automation capabilities; tool familiarity alone does not establish artificial intelligence proficiency.
  • Relevant application, architecture, change management or artificial intelligence governance certifications.

About the Company

6sense

AI-driven ABM platform with predictive analytics

6sense provides an AI-powered platform for ABM and predictive analytics in the B2B space. It analyzes large data sets to identify in-market accounts and reveals the anonymous buyer journey, helping teams target and engage potential customers. The platform offers features for precise advertising targeting, customer insights, and sales productivity, sold on a subscription basis with consulting and training services. Its goal is to help businesses find, engage, and convert the right accounts at the right time by focusing on in-market signals and anonymous buyer data.

Company size
1,001-5,000
Company stage
Debt Financing
Total funding
$528.1M
Headquarters
San Francisco, CA
Founded
2013

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