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Poc Engineer Jobs (NOW HIRING)

Nebius

Lead Sales Engineer - Token Factory

$104K - $138K/yr

In AI infrastructure, PoC success does not always guarantee production success. Our Sales Engineering team exists to ensure that what we commit to with customers is scalable, efficient, economically ...

Mixpanel

Customer Engineer

New York, NY · On-site +1

About the Role The Customer Engineer owns the pre-sales technical journey - from discovery and technical fit assessment through competitive positioning, demo, and POC. You establish whether Mixpanel ...

Mixpanel

Customer Engineer

About the Role The Customer Engineer owns the pre-sales technical journey - from discovery and technical fit assessment through competitive positioning, demo, and POC. You establish whether Mixpanel ...

CIELOIT LLC

Sales Engineer

Dallas, TX

The Sales Engineer is responsible for assisting in solution design, technical demonstrations ... Support proof-of-concept (POC) deployments and technical validation during the evaluation process.

Supermicro

Sr. Network Engineer

San Jose, CA · On-site

$160K - $170K/yr

Manage, maintain, and support hands-on internal labs and customer-facing Proof of Concept (POC ... Develop comprehensive engineering documentation, including network diagrams, deployment guides ...

CIELOIT LLC

Sales Engineer

Dallas, TX · On-site

$85K - $105K/yr

The Sales Engineer is responsible for assisting in solution design, technical demonstrations ... Support proof-of-concept (POC) deployments and technical validation during the evaluation process.

Soda Data Inc.

Lead Sales Engineer (Remote)

Manhattan, NY · On-site

$160K - $180K/yr

If the PoC template doesn't exist, you write it. Must have * 6+ years as a Sales Engineer ... Solutions Engineer, or Solutions Architect at a B2B SaaS company, on enterprise deals - $100K+ ACV ...

CIELOIT LLC

Sales Engineer

Dallas, TX · On-site

$85K - $105K/yr

The Sales Engineer is responsible for assisting in solution design, technical demonstrations ... Support proof-of-concept (POC) deployments and technical validation during the evaluation process.

Soda Data

Lead Sales Engineer (Remote)

Brooklyn, NY · On-site +1

$160K - $180K/yr

If the PoC template doesn't exist, you write it. Requirements Must have * 6+ years as a Sales Engineer, Solutions Engineer, or Solutions Architect at a B2B SaaS company, on enterprise deals - $100K ...

Soda Data Inc.

$160K - $180K/yr

If the PoC template doesn't exist, you write it. Must have * 6+ years as a Sales Engineer ... Solutions Engineer, or Solutions Architect at a B2B SaaS company, on enterprise deals - $100K+ ACV ...

Soda Data

Lead Sales Engineer (Remote)

Brooklyn, NY · Remote

$160K - $180K/yr

If the PoC template doesn't exist, you write it. Requirements Must have * 6+ years as a Sales Engineer, Solutions Engineer, or Solutions Architect at a B2B SaaS company, on enterprise deals - $100K ...

Soda Data

Lead Sales Engineer (Remote)

Brooklyn, NY · On-site

$160K - $180K/yr

If the PoC template doesn't exist, you write it. Requirements Must have * 6+ years as a Sales Engineer, Solutions Engineer, or Solutions Architect at a B2B SaaS company, on enterprise deals - $100K ...

Super Micro Computer

Sr. Network Engineer

San Jose, CA · On-site

$160K - $170K/yr

Manage, maintain, and support hands-on internal labs and customer-facing Proof of Concept (POC ... Develop comprehensive engineering documentation, including network diagrams, deployment guides ...

TecTammina

FPGA Design Engineer

New York, NY · On-site

$134K - $185K/yr

Company Description Tech Tammina LLC Looking for an FPGA Design Engineer - Consultant to help ... The POC will include design and development of a set of modules, synthesis, time verification, and ...

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Poc Engineer information

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$25

$53

$76

How much do poc engineer jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for poc engineer in the United States is $53.63, according to ZipRecruiter salary data. Most workers in this role earn between $43.27 and $62.26 per hour, depending on experience, location, and employer.

What is a PoC engineer?

A PoC (Proof of Concept) Engineer is a technical professional responsible for designing, developing, and demonstrating prototype solutions to validate the feasibility of new technologies or concepts. Their work involves translating ideas into working models or small-scale systems that showcase the potential value of a product or feature. PoC Engineers collaborate closely with product managers, developers, and clients to ensure that proposed solutions meet requirements before full-scale development begins. This role is critical in identifying technical challenges, reducing risks, and accelerating innovation within organizations.

How does a PoC engineer typically collaborate with cross-functional teams during the development of proof-of-concept projects?

As a PoC (Proof of Concept) Engineer, collaboration with cross-functional teams is a key part of the role. You'll often work closely with product managers, solution architects, and sales engineers to understand client requirements and translate them into technical prototypes. Effective communication and adaptability are essential, as you'll need to gather feedback from stakeholders, iterate quickly on solutions, and ensure that the PoC meets both technical feasibility and business objectives. This collaborative environment offers valuable opportunities to expand your technical knowledge and build strong professional relationships across departments.

What are the key skills and qualifications needed to thrive as a PoC engineer, and why are they important?

To thrive as a PoC (Proof of Concept) Engineer, you need strong expertise in software development, system integration, and troubleshooting, often supported by a degree in computer science or a related field. Familiarity with cloud platforms (like AWS or Azure), scripting languages, prototyping tools, and DevOps practices is typically required. Strong problem-solving abilities, effective communication, and the ability to adapt quickly to evolving requirements make someone stand out in this role. These skills are crucial for rapidly developing and demonstrating innovative technical solutions to validate concepts for clients and stakeholders.

What is the difference between Poc Engineer vs Network Engineer?

AspectPoc EngineerNetwork Engineer
Required CredentialsBachelor's in Engineering, certifications like CCNA or CompTIA Network+Bachelor's in Computer Science or related, certifications like CCNA or Cisco Certified Network Associate
Work EnvironmentField testing, installation sites, labsOffice, data centers, network operation centers
Industry UsageTelecommunications, networking service providersIT, telecommunications, enterprise networks

The main difference between a Poc Engineer and a Network Engineer lies in their focus areas. Poc Engineers primarily handle proof-of-concept testing, field installations, and on-site testing of network equipment, often working directly in the field. Network Engineers design, implement, and maintain network infrastructure in office or data center environments. While both roles require similar certifications and industry knowledge, Poc Engineers are more involved in testing and deployment phases, whereas Network Engineers focus on ongoing network management and optimization.

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What are popular job titles related to Poc Engineer jobs?

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Poc Engineer jobs near you
Infographic showing various Poc Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 92% Full Time, 3% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $111,552 per year, or $53.6 per hour.

Lead Sales Engineer - Token Factory

Remote

Nebius
See more jobs at Nebiusexternal

$104K - $138K/yr

Full-time

Posted 14 days ago

Job description

About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
We are building a high-performance AI inference platform for developer-native teams running latency- and cost-sensitive workloads at scale.
In AI infrastructure, PoC success does not always guarantee production success. Our Sales Engineering team exists to ensure that what we commit to with customers is scalable, efficient, economically viable, and aligned with platform strategy.
We are looking for a Lead Sales Engineer to lead and develop our Sales Engineering function while remaining deeply involved in our most strategic and technically complex customer engagements.
This is a player-coach role. You will lead a team of Sales Engineers, establish the technical standards and operating mechanisms for customer engagements, and personally provide architectural leadership on high-impact opportunities.
You will operate at the intersection of customer ambition, engineering reality, and commercial growth, ensuring the team consistently influences:
  • Revenue quality
  • Engineering focus and capacity
  • Product evolution
  • PoC-to-production conversion
  • Customer trust at scale

You're welcome to work remotely from the United States.
Your responsibilities will include:
Team Leadership & Development
  • Lead, coach, and develop a high-performing team of Sales Engineers
  • Set clear expectations for technical quality, customer engagement, and commercial impact
  • Provide hands-on technical mentorship and support the growth of individual team members
  • Establish consistent approaches to discovery, architecture reviews, PoC qualification, and production readiness
  • Allocate Sales Engineering capacity across opportunities based on strategic value, technical complexity, and probability of success
  • Create an environment where the team can challenge assumptions, escalate risks early, and make high-quality technical decisions
  • Support hiring, onboarding, and development of the Sales Engineering organization as the business scales

Strategic Technical Leadership
  • Act as the senior technical advisor on strategic and complex customer opportunities
  • Lead deep technical discovery with engineering teams, technical founders, and customer executives
  • Guide the team in understanding model requirements, traffic expectations, latency constraints, GPU economics, and system dependencies
  • Translate customer ambition into production-feasible architectures
  • Identify hidden technical, operational, and economic risks before significant resources are committed
  • Step directly into critical opportunities when additional technical depth or leadership is required

Commercial Acceleration & Deal Governance
  • Partner closely with Sales leadership on strategic deals, account planning, and technical qualification
  • Influence deal strategy through architectural clarity and a strong understanding of customer requirements
  • Establish clear technical qualification and escalation mechanisms for complex opportunities
  • Ensure customer commitments are aligned with current or strategically planned platform capabilities
  • Prevent misaligned commitments before Engineering resources are allocated
  • Improve PoC-to-production conversion by ensuring technical and economic realism from the beginning
  • Help Sales and Sales Engineering balance customer urgency with sustainable platform development

PoC Architecture & Validation
  • Establish standards for how the team scopes, designs, and evaluates customer PoCs
  • Ensure measurable success criteria are defined, including latency, TTFT, throughput, reliability, and cost envelope
  • Guide workload classification and determine the appropriate depth of optimization
  • Align the right resources across Sales Engineering, ML Solution Architecture, Product, Engineering, and GPU capacity
  • Drive structured Go / No-Go decisions for complex engagements
  • Prevent uncontrolled customization, hidden R&D, and poorly scoped engineering commitments
  • Ensure successful PoCs have a clear and realistic path to production

Pattern Recognition & Platform Leverage
  • Build a systematic view of technical patterns emerging across customer engagements
  • Identify recurring workload, configuration, and architecture patterns
  • Quantify demand for advanced optimizations such as quantization, speculative decoding, and other inference techniques
  • Surface structured customer insights and technical evidence to Product and Engineering leadership
  • Help distinguish repeatable platform requirements from one-off customer requests
  • Influence platform priorities based on real workload data and commercial opportunity
  • Turn successful customer architectures and lessons learned into reusable patterns for the wider Sales Engineering organization

Cross-Functional Leadership
  • Serve as a key interface between Sales, Sales Engineering, Product, and Engineering
  • Represent customer technical requirements while maintaining a clear view of platform strategy and engineering constraints
  • Improve how technical decisions, risks, and dependencies are communicated across teams
  • Establish feedback loops that allow Product and Engineering to understand emerging customer demand
  • Help leadership make informed tradeoffs between revenue opportunity, customer impact, and engineering investment

We expect you to have:
  • Deep understanding of AI inference systems and GPU-backed infrastructure
  • Significant experience with LLM workloads and performance-sensitive environments
  • Experience with inference frameworks and libraries such as vLLM, SGLang, and TensorRT-LLM
  • Strong ability to reason about latency, throughput, GPU utilization, cost, and architecture tradeoffs
  • Experience leading, mentoring, or managing Sales Engineers, Solution Architects, or similar customer-facing technical teams
  • Demonstrated success supporting complex enterprise or developer-focused technical sales cycles
  • Strong customer presence with engineering-first organizations
  • Ability to operate credibly with technical founders, engineering leaders, and senior customer stakeholders
  • Strong judgment around when to standardize, when to customize, and when to say no
  • Comfort challenging assumptions and pushing back constructively with both customers and internal stakeholders
  • Commercial awareness - you understand that engineering time and GPU capacity are strategic resources
  • Ability to move between detailed technical discussions, deal strategy, team leadership, and executive communication
  • Experience building repeatable processes and technical standards in a fast-growing organization

What success looks like:
  • The Sales Engineering team operates with clear standards, ownership, and technical rigor
  • Sales Engineering capacity is allocated predictably toward the highest-value opportunities
  • Strategic deals are technically sound before significant Engineering engagement
  • PoCs are consistently scoped, measurable, and economically justified
  • Technical risks and misaligned customer expectations are identified early
  • PoC-to-production conversion improves
  • Engineering teams spend less time on poorly qualified or one-off customer requirements
  • Repeatable customer patterns systematically influence Product and Engineering priorities
  • Sales has a trusted technical partner for navigating complex AI infrastructure opportunities
  • Customers view the Sales Engineering organization as trusted architectural advisors
  • Sales Engineers grow in technical depth, commercial judgment, and customer leadership

Pay Transparency
We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law.
Base Compensation Range
$228,000-$285,000 USD
Benefits & Perks:
  • Competitive compensation
  • Career growth and learning opportunities
  • Flexibility and ownership
  • Collaborative and innovative culture
  • Opportunity to work on impactful AI projects
  • International environment and talented teams

What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.

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