About Solid:
Enterprises are racing to adopt AI, but AI only works if it understands complex enterprise data.
Solid automatically builds and maintains a semantic layer over structured data, enabling AI
systems to generate queries, support workflows, and operate with accuracy, transparency, and
trust. Founded by repeat entrepreneurs, Solid is backed by leading VC funds including
SignalFire and Team8.
Role Overview:
As an Applied AI Solutions Engineer, you will be the technical field lead bridging customer AI
ambitions with production-ready execution. Reporting to the VP of Applied AI & Solution
Engineering, you will combine technical architecture, hands-on Python development, and client-
facing ownership to build semantic models, integrate workflows, and deploy Solid inside
enterprise environments.
Key Responsibilities:
● Technical Delivery & Integration: Own customer deployments from kickoff to production, designing solution architectures and writing Python code for custom
integrations and internal tooling.
● Semantic Modeling & AI Workflows: Build, benchmark, and certify semantic models. Connect Solid into customer AI ecosystems (MCP, Text2SQL, AI agents, Slack, internal
GPTs).
● High-Touch Client Engagement: Serve as the main technical contact, leading daily communications, status syncs, ad-hoc troubleshooting, and occasional on-site visits. Work directly with BI, IT, Security, and business end-users.
● Multi-Tasking & Execution: Juggle multiple customer workstreams simultaneously, prioritizing tasks and resolving technical blockers with agility.
● Product & R&D Feedback Loop: Translate field friction, edge cases, and customer feedback into clear product requirements and Jira tickets for R&D.
RequirementsQualifications & Requirements:
● Experience: 2+ years in a technical, client-facing role (e.g., Forward Deployed Engineer, Solutions Engineer, Data Architect).
● Hands-on Development: Proficiency in Python (required for integrations, custom scripts, and tooling) and strong SQL.
● Modern Data Stack: Practical experience with cloud data warehouses (Snowflake,Databricks, BigQuery), dbt, and data modeling. Experience collaborating with BI, Data,
and Security teams.
● AI Patterns: Familiarity with Text2SQL, AI agents, MCP, and workflow orchestration.
● Communication & Mindset: Excellent English skills, strong problem-solving abilities, high adaptability to multi-task in a fast-paced startup, and willingness for occasional customer visits.
Skills Required
- 2+ years of experience in a technical, client-facing role such as Forward Deployed Engineer, Solutions Engineer, or Data Architect
- Proficiency in Python for integrations, custom scripts, and tooling
- Strong SQL skills
- Practical experience with cloud data warehouses, including Snowflake, Databricks, or BigQuery
- Experience with dbt and data modeling
- Experience collaborating with BI, Data, and Security teams
- Familiarity with Text2SQL, AI agents, MCP, and workflow orchestration
- Excellent English communication skills
- Strong problem-solving abilities
- Ability to adapt and multitask in a fast-paced startup environment
- Willingness to make occasional customer visits
What We Do
Team8 is a global venture group with deep domain expertise that creates companies and invests in companies specializing in enterprise technologies, cyber, AI, fintech and digital health. Leveraging an in-house, multi-disciplinary team of company-builders integrated with a dedicated community of C-level executives and thought leaders, Team8’s model is designed to outline big problems, ideate solutions, and help accelerate success through technology, market fit and talent acquisition. Team8’s leadership team represents serial entrepreneurs, industry pioneers and the former leadership of Israel’s elite tech and intelligence Unit 8200. Founded in 2014, Team8 is backed by global companies including Microsoft, Walmart, Cisco, Barclays and Moody’s, among others. To learn more about Team8 visit www.team8.vc
