Slack AI Solution Strategist

Salesforce • Seattle, WA

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 technical feasibility and business value. The strategist turns engagement learnings into product feedback, compelling stories, and reusable playbooks.

The work spans discovery, experience and solution design, configuration, integration planning, prototyping, validation, enablement, and handoff. Strategists create Slack-first solutions that connect AI with enterprise tools and data, advise senior stakeholders, and capture user evidence, technical constraints, and product gaps for Product and Engineering. This role does not own full customer implementations, long-term production engineering, or ongoing solution support; deeper implementation work is handed off to Customer FDEs or Professional Services as appropriate. The position includes approximately 25% travel.

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 individual 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 help 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 administrator 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 demonstrate solutions and validate where additional integrations or engineering could add value.
• Design Slack-first solutions that connect AI with enterprise tools such as Salesforce, Tableau, and Google Workspace.
• Build trusted relationships with senior stakeholders, advise them on 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 use cases, user evidence, AI behavior, technical constraints, and product gaps; synthesize recurring patterns and work with Product and Engineering to inform product direction.
• Map workflows, systems, data sources, integrations, permissions, and dependencies; diagnose issues across configuration, data, integrations, product capabilities, AI behavior, and adoption.
• Communicate the vision, working experience, technical tradeoffs, and potential business value through narratives and demonstrations.
• Partner with account teams across operating units on strategic use case workshops and connect Product with field feedback.
• Convert 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 and disability insurance
• 401(k)
• Employee stock purchasing program

What This Job Offers

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