Responsibilities:
- Serve as the accountable and responsible owner for all functional and technical requirements on assigned implementation projects, participating from kickoff through sprint readiness and go-live documentation
- Attend and contribute to internal and client kickoff meetings; review the Sales Order and Solutions Summary to understand scope, sales commitments, integration complexity, and delivery expectations before any client-facing session
- Lead pre-discovery research: investigate client tech stack, identify credential and access requirements, and develop an initial integration architecture approach before discovery begins
- Facilitate and attend client discovery sessions including Conversational Design presentations, Technical Requirements sessions (per integration point), and Internal Technical Review/Whiteboard sessions with Engineering
- Own Epic development: define business problems and desired outcomes, document all technical considerations, write user stories with clear acceptance criteria (including discovery/spike and testing stories), collaborate on story point estimation, and sequence stories for optimal sprint flow
- Validate the Definition of Ready (DoR) before sprint planning: ensure all technical unknowns are resolved, client credentials and access are available, acceptance criteria are complete, and dependencies are cleared
- Define API specs, coordinate whitelisting, and document all credentials, test accounts, and logins required for development and QA
- Brief development teams on the technical approach at the start of each sprint; serve as the go-to resource for build-phase questions on scope, logic, and edge cases
- Complete post-UAT Confluence documentation covering integrations, platform configuration, API details, client contacts, and architecture diagrams before the Transition to Support meeting can be scheduled
- Partner with the Project Manager to manage scope boundaries, advise on change requests, and support the creation of change order documentation when client requests fall outside agreed scope
- Contribute to the ongoing improvement of Capacity’s implementation standards, decision frameworks, and technical documentation practices
Requirements:
- 10+ years of professional experience, with at least 3 years in a Solution Consultant, Solutions Architect, or Technical Consultant role within a SaaS or enterprise software professional services environment
- Demonstrated experience designing and documenting solutions for conversational AI, virtual agents, IVR/CCaaS, or automation platforms; ability to make principled architecture decisions and defend them to both technical and non-technical audiences
- Deep fluency with integration patterns: REST APIs, OAuth, SAML, webhooks, and API spec documentation; experience gathering and validating requirements across multiple integration points simultaneously
- Hands-on familiarity with Agile/Scrum delivery: writing user stories and acceptance criteria, collaborating on story point estimation, validating Definition of Ready, and briefing development teams
- Strong client-facing skills with the ability to lead technical discovery sessions, translate complex requirements into buildable specifications, and communicate trade-offs clearly to business stakeholders
- Comfort working across the full implementation lifecycle — from kickoff and requirements gathering through sprint readiness, QA support, and go-live documentation
- Experience with tools such as Jira, Confluence, Smartsheet, and Google Workspace as part of a structured project delivery workflow
- Exceptional written documentation skills: architecture decision records, API specs, user stories, and technical Confluence pages should be second nature
- Familiarity with compliance and security considerations relevant to enterprise SaaS implementations (SOC 2, GDPR/CCPA, HIPAA/PCI as applicable)
- Bachelor’s degree in Computer Science, Engineering, Information Systems, Business, or a related field (or equivalent practical experience)
- Willingness to travel to client sites for kickoff and critical milestone meetings, and to support occasional after-hours go-live events
What you can expect from us
The team:
Capacity team members enjoy the opportunity and benefits of working at an artificial intelligence startup, but with leaders who’ve worked at places like Apple, Ebay, Visa, Answers.com, Oracle, Boeing, and many more world-class companies. The culture at Capacity encourages innovation, independent problem solving, and collaboration as we continue to mature our product in the ever-changing world of AI.
We provide:
- Employer-paid health insurance (for you and your eligible dependents)
- Profit Interest Units/incentive compensation
- Unlimited vacation policy
- 401(k) with a company match
- Short term disability insurance
- Group life AD&D insurance
- A supportive, diverse workplace where we prioritize respect for each other and our clients
- A fun and collaborative team culture
Salary range:
The expected base salary for the Solution Consultant role is between $100,000 and $110,000; actual salary will be commensurate with a candidate's experience, skill and location.
CapacityUnited States
