Telmai

About Telmai Telmai is an AI-first data reliability platform on a mission to make enterprise data trustworthy and AI-ready. We proactively detect, prevent, and remediate data quality issues before they impact business decisions or AI systems. We are a seed-stage company backed by Y Combinator, Zetta Venture Partners, and .406 Ventures, with customers including McDonald’s, ZoomInfo, and Bill.com. We have strategic partnerships with Google Cloud, Databricks, and Snowflake, positioning Telmai at the center of the modern data ecosystem. We are obsessive about customer value and long-term trust. Our growth is driven by deep technical engagement and real impact — not surface-level demos. The Role: Founding Solutions Engineer (Revenue IC) We are hiring a highly technical, solution-minded individual contributor to help drive revenue end-to-end. There is no traditional sales team today. You will partner directly with the CEO to: Drive net-new revenue Lead technical and commercial conversations Own discovery through POC through close Shape our technical GTM motion This is a rare opportunity to operate as a technical closer — not just a demo resource. What You’ll Do Lead customer conversations from first technical discovery through implementation design Whiteboard architecture with data platform and AI teams Run demos, workshops, and value-based discussions Scope and execute high-impact POCs Respond to RFPs and manage procurement conversations alongside leadership Translate complex data and AI infrastructure challenges into clear business value Build repeatable technical sales processes and artifacts Act as the bridge between customer needs and product roadmap (working closely with the CTO) Who You Are Deeply technical in modern data stacks (Spark, Snowflake, Databricks, BigQuery, pipelines, metadata, ML systems) Experienced in customer-facing roles within data infrastructure, SaaS, or cloud Comfortable owning both technical and commercial momentum in a deal Able to simplify complex architecture into business impact Thrive in zero-to-one environments High ownership mindset — you don’t wait for structure, you create it Motivated by impact, not title What Makes This Role High Impact You will influence revenue directly. You will shape Telmai’s technical GTM foundation. You will work directly with founders. You will help define how enterprises build AI-ready, trusted data systems. This role has a clear path to becoming Head of Solutions or GTM leadership as the company scales.

About the Role Telmai customers move through three stages after purchase: Install in their VPC, Configure data sources and catalogs, Adopt profiling, monitors, and automated validation. This role is responsible for accelerating all three for large enterprise customers. You will be the technical owner who ensures Telmai is deployed, integrated, and delivering value fast. What You’ll Do Implementation & Activation Guide customers through automated deployment in AWS, Azure, or GCP Provide hands-on cloud/network/security support when needed Integrate Telmai with customer ecosystems (GCS, S3, ADLS; BigQuery, Snowflake, Databricks; Atlan, Alation, Collibra; Iceberg, Delta, Hudi) Configure assets, profiling, rules, lineage, and validation flows Build small utilities or synthetic datasets to speed onboarding Data Reliability Outcomes Enable automated validation across landing → transform → consumption layers Diagnose issues such as schema drift, null spikes, volume anomalies, invalid values, or rule failures Work with engineering, analytics, governance, and business teams to align on quality goals Demonstrate improvements in data reliability and trust Customer Leadership Run workshops, stand-ups, and weekly sessions Navigate enterprise org structures and unblock cross-team dependencies Communicate clearly with both technical and executive stakeholders Act as the primary technical owner for post-sales success Influence Product Bring deployment insights back into product and engineering Inform roadmap areas (validation automation, lakehouse integrations, AI-agent workflows) Help build playbooks and best practices for future implementations What We’re Looking For Background & Skills 4–6 years in a customer-facing engineering role (FDE, SA, CE, consulting engineer) Strong data architecture and pipeline fundamentals Hands-on cloud experience (AWS, GCP, or Azure) Experience with lakehouse/warehouse ecosystems Familiarity with data lakes, cloud storage, catalogs, or metadata systems Comfortable leading multi-stakeholder enterprise conversations Traits & Mindset AI-first and highly adaptable Customer-obsessed and outcome-driven High ownership, bias for action, and low-ego collaboration Comfortable with ambiguity and fast-moving startup environments Nice-to-Haves Experience with DQ/observability or metadata platforms Iceberg/Delta/Hudi familiarity Python/SQL for quick utilities Exposure to regulated industries (FSI, healthcare, insurance) Why Join Telmai Founding impact: Help shape Telmai’s customer engineering function High visibility: Work directly with the founders Enterprise momentum: Deploy Telmai at brands like McDonald’s and Fortune 500s AI + Data inflection point: Build on top of Telmai’s new Data Reliability Agent Low bureaucracy: High trust, fast decisions, real ownership