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Forward Deployed Engineer - Enterprise AI Solutions
Job in
San Mateo, San Mateo County, California, 94409, USA
Listed on 2026-03-03
Listing for:
Hirenow Staffing Inc
Full Time
position Listed on 2026-03-03
Job specializations:
-
IT/Tech
Systems Engineer, Cloud Computing, AI Engineer, Data Analyst
Job Description & How to Apply Below
Forward Deployed Engineer Enterprise AI Solutions
Location: Hybrid, 3 days onsite in San Mateo, CA or New York City, NY
Compensation: $140,000 - $210,000 + quota-linked performance incentives
Employment Type: Full-Time, Direct Hire
About the Opportunity
Hire Now Staffing is partnering with a rapidly scaling AI software company seeking Forward Deployed Engineers who can operate at the intersection of engineering, strategy, and enterprise sales. This is a high-visibility, customer-facing technical role designed for engineers who enjoy translating complex technology into real-world value and influencing multi-stakeholder decisions.
Unlike traditional pre-sales roles, this position is deeply hands-on: youll architect proofs of value, build prototypes, integrate systems, and directly shape how enterprise customers adopt AI. You will partner closely with Account Executives to win competitive deals, validate technical fit, and accelerate customer confidence.
If you thrive in fast-paced, consultative environments where every engagement is unique, this role provides unmatched ownership and impact.
What You'll Do
1. Lead Value Discovery & Demonstration
- Conduct in-depth technical discovery to map customer workflows, pain points, and success criteria.
- Design and deliver demos, prototypes, and proof-of-value experiences that connect platform capabilities to measurable ROI.
- Act as the technical thought partner for Account Executives by shaping deal strategy, objection handling, and solution positioning.
- Clarify complex concepts for executive, technical, and operations audiences.
- Implement and configure tailored solutions in customer environments using APIs, integrations, dashboards, and data pipelines.
- Debug, optimize, and refine deployments based on real-time customer feedback.
- Build automation, connectors, or lightweight scripts as needed to accelerate validation.
- Ensure seamless knowledge transfer into post-sales teams to support ongoing success.
- Identify recurring patterns, blockers, and emerging enterprise use cases across customer engagements.
- Communicate insights to product and engineering teams to refine roadmap direction.
- Build reusable demo assets, configuration templates, and playbooks to reduce future sales cycle friction.
- Represent the voice of the customer internally while maintaining a strong commercial orientation.
Candidates who meet the majority of the criteria below will stand out:
Experience & Technical Depth
- 4-15 years in forward-deployed engineering, pre-sales engineering, or technical consulting supporting enterprise SaaS, AI, analytics, or data-driven platforms.
- Strong fluency across full-stack, data engineering, infrastructure, or cloud architectures able to speak confidently with CTOs and engineering teams.
- Demonstrated success designing and delivering proofs of value that result in closed-won deals.
- Hands-on experience with:
- AWS, GCP, or Azure
- APIs and integrations
- Modern data workflows, ETL, pipelines
- Dashboards, BI tooling, or analytics systems
- Strong competitive drive and the ability to influence technical and business stakeholders.
- Exceptional communication skills able to simplify complexity without losing depth.
- Comfort operating in dynamic, ambiguous, startup-like conditions with evolving processes.
- Understanding of enterprise security, compliance, and governance requirements.
- Familiarity with AI/LLM-driven products, MLOps, or workflow automation.
- High visibility within the organization your work directly shapes revenue outcomes.
- Blend technical depth and customer-facing impact in one role.
- Unique blend of engineering, solution architecture, and consultative strategy.
- Opportunity to influence the company's platform direction through field insights.
- Ideal for engineers who love problem-solving, storytelling, and driving adoption of cutting-edge AI.
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