Lead, Specialist Slack SE
New
United StatesFull-TimeLead
Salary134,750 - 198,170 USD per year
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Job Details
- Experience
- 4–6+ years
- Required Skills
- Artificial IntelligenceSalesforceRESTful APIsSaaSSlack
Requirements
- 4–6+ years of experience in solution engineering, sales engineering, or technical consulting within a SaaS environment.
- Strong experience with Slack, Salesforce, or similar enterprise collaboration and CRM platforms.
- Proven ability to deliver compelling technical demonstrations and presentations to executive and government audiences.
- Solid understanding of APIs, integrations, relational databases, and web technologies.
- Familiarity with AI tools and concepts, including agentic workflows and automation platforms such as Slackbot and Agentforce.
- Experience working with public sector or government clients, including awareness of procurement and compliance requirements.
- Strong communication, storytelling, and stakeholder management skills.
- Ability to work in fast-paced, evolving environments with shifting product capabilities.
- Bachelor’s degree in Computer Science, Software Engineering, MIS, or related field preferred.
- Salesforce certifications are a plus.
Responsibilities
- Partner with account executives to support complex, multi-stakeholder sales cycles across government and public sector organizations.
- Design and demonstrate Slack-based solutions that improve operational efficiency, citizen services, and cross-agency collaboration.
- Act as a technical evangelist for a Slack-first strategy, positioning Slack as the primary engagement layer across Salesforce and third-party systems.
- Architect and present AI-driven workflows using Slack, Slackbot, and Agentforce to automate and optimize government processes.
- Build strong relationships with public sector technical and executive stakeholders, translating technical capabilities into business outcomes.
- Enable internal sales and solution engineering teams on Slack capabilities and best practices for public sector engagement.
- Support solution design, integration planning, and technical validation across complex enterprise environments.
- Contribute to the evolution of demo strategies and storytelling approaches that highlight AI-powered transformation.
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