Manager, Forward Deployed Engineering
Leads a Forward Deployed Engineering team delivering enterprise data migrations, AI/ML platforms, and generative AI solutions. The role combines people leadership, technical coaching, customer escalation management, delivery governance, and strategic stakeholder collaboration.
About the job
Responsibilities
- Lead and scale a high-performing team of Forward Deployed Engineers serving strategic enterprise customers.
- Oversee regional performance targets, including billable utilization, team growth, and hiring.
- Partner with Account Executives, Engagement Managers, and Field Engineering leaders to position, scope, and deliver Professional Services programs involving data migrations, AI/ML platforms, and advanced analytics.
- Establish project oversight, risk management, and quality standards to ensure engagements are delivered on time and to specification.
- Synthesize field insights for Engineering and Product Management to help guide the product roadmap and create reusable customer accelerators and frameworks.
- Serve as the escalation point for high-stakes customer situations and drive rapid resolution.
- Mentor engineers through career pathways, technical coaching, and continuous growth.
Requirements
- 4+ years leading high-performing technical delivery teams and building excellence-driven cultures.
- 5+ years as a technical solutions architect or data/AI engineer, with experience coaching technical teams.
- Technical depth to build with AI, coach teams on best practices, and drive organization-wide adoption.
- Experience leading large-scale data platform migrations and AI/ML programs in enterprise environments.
- Strong understanding of technical project delivery, including scope, timelines, and statements of work (SOW) management.
- Strong stakeholder management skills in complex, high-stakes customer environments.
- Ability to travel to customer sites approximately 20% of the time.
Nice-to-Haves
- Familiarity with Databricks, Apache Spark, MLflow, Delta Lake, and the modern data and AI ecosystem.
- Consulting or professional services experience with a hands-on technical foundation.
- Experience at a hyperscaler such as Google, AWS, or Azure, or at a data/AI company.
- In-house or industry experience alongside vendor-side delivery experience.
Skills
Databricks, Spark, MLflow, Delta Lake, Artificial Intelligence, Machine Learning, Generative AI, MLOps, Data Migrations, Technical Project Delivery, Stakeholder Management, Statements Of Work
Similar jobs
Solutions Architecture jobs
Plenful
Remote
Leads solution discovery, demonstrations, pilots, and value storytelling for enterprise healthcare software sales. The role requires deep healthcare expertise—especially 340B—and experience guiding complex stakeholders from evaluation through implementation.
Databricks
Berlin, GermanyLeads customer-facing architecture, demonstrations, proofs of concept, and implementation guidance for an agentic customer data platform. Requires 5+ years in CDP, MarTech, or customer data engineering, including substantial pre-sales or consulting experience.
OpenLoop
Remote
Owns hands-on technical implementations for external healthcare technology customers, including platform configuration, integrations, data migration, testing, deployment, go-live, and stabilization. Requires 3+ years of implementation or integration experience, strong SQL and API troubleshooting skills, and customer-facing technical communication.
Datadog
Amsterdam, Netherlands
Supports Datadog channel partners through technical onboarding, enablement, demonstrations, proofs of value, and adoption initiatives. Requires hands-on IT development or operations experience, strong presentation skills, and current EU residency.
Protege
Remote
Own end-to-end technical delivery for healthcare customer engagements, including integrations, data transformations, applications, and post-launch support. The role requires customer-facing communication, sound judgment with PHI and regulated data, and the ability to turn bespoke solutions into reusable platform capabilities.