Slack AI Solution Strategist

Slack • Atlanta, GA

3d • $197,300 - $285,800

About The Position

The Slack AI Solution Strategist brings Slack’s AI and agentic capabilities to life through focused Customer Zero engagements. The role partners with Salesforce leaders, sellers, Product, Engineering, Customer Zero leads, and Sales leaders to identify valuable use cases, design and build working proofs, and demonstrate what is technically feasible and valuable. Strategists work hands-on from discovery and experience design through prototyping and validation, then share evidence, user insights, product gaps, and reusable patterns with Product and Engineering and turn proven approaches into stories and playbooks.

The position leads targeted engagements from discovery through solution design, configuration, integration planning, validation, enablement, and handoff. It develops Slack-first solutions that connect AI across enterprise tools, advises senior stakeholders, and creates demonstrations and guidance to support limited activation before handoff. The role does not own full customer implementations, long-term production engineering, or ongoing solution support. When deeper customer implementation is needed, work is handed to Customer FDEs or Professional Services as appropriate.

Requirements

• 5–7 years of experience in Solutions Engineering, technical consulting, solution implementation, solution architecture, technical product delivery, or another customer-facing delivery role.
• Demonstrated experience leading discovery, solution design, transformation, or advisory engagements with senior internal and/or external stakeholders.
• Strong working knowledge of Slack, including workflows, integrations, administration, security, and evolving AI capabilities.
• Familiarity with Salesforce and Tableau and how enterprise teams use these platforms to access data, insights, and business workflows.
• Practical understanding of applied AI and agentic systems, including prompting, grounding, retrieval, tool use, evaluation, guardrails, and common failure modes.
• Understanding of the product lifecycle and experience with discovery, design, configuration, testing, release, adoption, and feedback.
• Working knowledge of APIs, MCP, integration patterns, identity, data access, permission models, and enterprise security.
• Executive presence and ability to clearly communicate technical concepts, tradeoffs, and recommendations to senior business and technical leaders.
• Ability to synthesize engagement learnings into reusable patterns, stories, and guidance.
• Passion for Slack, applied AI, agentic technology, and the future of work.
• Willingness to travel approximately 25% of the time and work directly alongside internal leaders and/or customers.

Nice To Haves

• Hands-on experience designing or configuring AI assistants, agents, prompts, skills, workflows, or automations.
• Familiarity with SQL to accurately create and review data-related Slackbot prompts.
• Experience with technical or solution architecture, particularly across enterprise SaaS platforms.
• Experience with Salesforce CRM, Data Cloud, Agentforce, Tableau, or related Salesforce technologies.
• Salesforce, Slack, Tableau, architecture, or comparable Platform or Admin certifications.
• Experience working with sales leaders, sellers, Sales Operations, or revenue organizations.

Responsibilities

• Lead focused engagements from business and technical discovery through solution design, configuration, integration planning, validation, enablement, and handoff.
• Configure Slack capabilities, workflows, AI features, and approved connectors to bring solutions to life; identify where future integrations or engineering could add value.
• Design Slack-first solutions that connect AI across enterprise tools such as Salesforce, Tableau, and Google Workspace.
• Build trusted relationships with senior stakeholders, inspire new ways of working, and communicate solutions in terms of business outcomes.
• Create prompts, skills, demonstrations, and usage guidance to validate proofs and support limited activation before handoff.
• Capture high-value use cases, user evidence, AI behavior, technical constraints, and product gaps; synthesize patterns and partner with Product and Engineering to inform product direction.
• Map workflows, systems, data sources, integrations, permissions, and dependencies; investigate solution issues and distinguish configuration, data, integration, product, AI behavior, and adoption causes.
• Communicate the vision, working experience, technical tradeoffs, and potential business value through narratives and demonstrations.
• Partner with account teams across OUs on use case workshops and connect Product with feedback from the field.
• Turn engagement learnings into reusable solution patterns, stories, and playbooks for leaders, sellers, and customers.

Benefits

• Time off programs
• Medical insurance
• Dental insurance
• Vision insurance
• Mental health support
• Paid parental leave
• Life insurance
• Disability insurance
• 401(k)
• Employee stock purchasing program

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed