Forward Deployed Engineer

Meet the Moment with Keystone AI We're living through a once-in-a-generation shift in how work gets done. Data, automation, and AI are quickly becoming the center of every business decision - and Keystone AI is leading the transformation. You'll be working on the challenges that sit at the heart of modern business. No matter your role, the work you do will help organizations move faster, see more clearly, and tackle questions that used to feel impossible. If you're ready to meet the moment with innovation, curiosity, and excellence, there's a place for you here. Job Description About the Role The Forward Deployed Engineer (FDE) is a senior, hands-on technical role embedded with Keystone AI ’s most strategic enterprise customers and partners. Your mission is to make Keystone AI One a core part of modern data and AI architectures by turning existing analytics workflows into AI-ready, cloud-native solution patterns that scale through partners. This is not a traditional professional services or slideware architect role. As an FDE, you will design, build, and validate real production systems, then package what works into repeatable patterns that partners can sell and deliver independently. What You’ll Do Design and build AI-ready data architectures using Keystone AI One, anchored to cloud data platforms such as Snowflake, BigQuery, Databricks, and AWS Convert existing analytics workflows into deployable solution patterns that can be reused across customers Deliver lighthouse customer deployments that move from pilot to production in ~90 days Partner closely with systems integrators and consulting partners to enable partner-led delivery Work alongside Sales Engineers and Product teams to validate solutions in production and provide structured product feedback Create documentation, reference architectures, and playbooks so solutions can scale without ongoing FDE involvement What You’ll Own Technical leadership from architecture → pilot → production → partner handoff Architecture decisions for cloud data platform and analytics modernization Creation of repeatable patterns that drive faster time-to-value, expansion, and consumption Clear exit criteria for every engagement—success is partner-led delivery, not long-term dependency What Success Looks Like Success in this role is measured by what reaches production, what scales, and what continues without your direct involvement. Ship production systems Move enterprise customers from existing analytics workflows to AI-ready, cloud-native architectures built on Keystone AI One Take solutions from pilot to production in ~90 days Create scalable solution patterns Design architectures, workflows, and deployment models that are reused across customers Establish repeatable patterns that become reference implementations Enable partner-led delivery Hand off solutions to systems integrators and consulting partners with clear ownership and exit criteria Ensure partners can sell, implement, and extend solutions independently Drive faster customer outcomes Reduce time-to-production for analytics and AI initiatives Deliver measurable impact, including cost reduction, faster insights, and improved operational efficiency Shape the product with real-world evidence Provide clear, structured feedback based on live deployments Influence roadmap and product direction by validating solutions in production What You Bring Experience 7+ years building data, analytics, or platform systems in production Hands-on experience with at least one major cloud data platform (Snowflake, BigQuery, Databricks, Redshift, or AWS) Experience working directly with enterprise customers in a technical, field-facing role Technical Skills Strong background in analytics workflows, data pipelines, or analytics engineering Comfortable writing production workflows and lightweight code (primarily Python and SQL; APIs as needed) Solid understanding of cloud architecture, governance, and cost tradeoffs Ways of Working Builder mindset—you prefer shipping real systems over creating slides Comfortable operating in ambiguity and giving candid technical guidance Motivated by scale, reuse, and partner leverage rather than one-off wins Why Keystone AI At Keystone AI , you’ll work on real customer problems at the intersection of data platforms, analytics, and AI—while shaping how our product shows up in enterprise architectures around the world. You’ll have direct impact on customers, partners, and product direction, all while building solutions that scale. The Forward Deployed Engineer role is for builders, not advisors. If you want to own production outcomes and help define how enterprises operationalize analytics and AI, we’d love to hear from you. Compensation Keystone AI is committed to fair, equitable, and transparent compensation. Final compensation is determined by several factors, including but not limited to relevant work experience, education, certifications, skills, and geographic location. The base salary range for this role in the United States is $2