Principal Solutions Architect

neptune.ai; Remote; CAD 125,000 - 150,000; Full time

Job summary

A leading AI solutions company is seeking a Principal Solutions Architect to drive customer success through engaging with top research labs and executing Proof of Concepts (PoCs). The ideal candidate will have extensive hands-on experience in data science and machine learning, with mastery in AI/ML frameworks. This role is 100% remote, offering flexibility, and includes participation in an Employee Stock Option Plan and 20 paid service-free days per year.

Benefits

100% remote work

Flexible working hours

Employee Stock Option Plan

20 paid service-free days per year

Qualifications

• 5–10 years of hands-on experience in data science or machine learning.
• Proven track record in customer-facing roles.
• Willing to travel up to 50% primarily to the USA.

Responsibilities

• Lead Proof of Concepts (PoCs) for potential high-value customers.
• Conduct technical demos for customer solutions.
• Act as a high-level technical troubleshooter for customer issues.

Skills

Technical leadership

Problem-solving skills

Customer engagement

AI/ML frameworks

Cloud platforms experience

Education

Master’s or PhD in Mathematics, Physics, Data Science, or related field

Tools

PyTorch

TensorFlow

JAX

AWS

GCP

Azure

Job description

As a Principal Solutions Architect, you will be engaging with top research labs in the world, helping them maximize the value of our platform.

You will lead Proof of Concepts (PoCs) for potential high-value customers, conduct technical demos, and provide advanced troubleshooting, helping drive product adoption and identifying upsell opportunities. This is a hands‑on, high‑impact role focused on driving customer success through expert technical support and collaboration.

Key Responsibilities:

• Technical Leadership in Customer Engagements: Serve as the primary technical advisor in high‑priority customer engagements, understanding customer needs and driving solutions through on‑site visits (typically once a month) to key locations, including San Francisco, Toronto, and Tel Aviv.
• Bridge Between Customers and Product Team: Capture and translate customer insights into detailed product requirements for engineering and UX teams, ensuring solutions align with real‑world needs.
• Drive Proof of Concepts (PoCs): Lead and execute PoCs for prospective customers, ensuring smooth integration, technical validation, and a clear path to adoption.
• Technical Demos & Discussions: Conduct detailed technical demos and discussions, demonstrating how Neptune can solve specific customer challenges and integrate seamlessly with their workflows.
• Upsell & Expansion Opportunities: Identify potential upsell and cross‑sell opportunities by aligning product capabilities with evolving customer requirements.
• Problem Solving & Escalation Support: Act as a high‑level technical troubleshooter for customer issues, collaborating with internal teams to resolve complex technical challenges.
• Documentation and Knowledge Sharing: Contribute insights on customer use cases, best practices, and focus areas for case studies, helping to develop resources that address common customer adoption challenges.

You might be a fit if you have:

• Master’s or PhD in Mathematics, Physics, Data Science, or a related quantitative field.
• 5‑10 years of hands‑on experience in data science, machine learning, or AI, with expertise in model development, statistical analysis, and data pipelines.
• Strong proficiency in AI/ML frameworks (e.g., PyTorch, TensorFlow, JAX) and a proven ability to apply these frameworks to real-world customer needs.
• Experience with cloud platforms (AWS, GCP, or Azure).
• Willingness to travel up to 50%, primarily to the USA, including potential two‑week stays each month, to lead customer engagements and ensure successful product integration.
• Proven track record in customer‑facing roles, with experience leading PoCs and delivering technical solutions that meet customer goals.
• Strategic insight into how technical decisions impact business outcomes, with a focus on identifying upsell opportunities.
• High degree of autonomy, ownership, and problem‑solving skills in fast‑paced environments.

About Neptune:

Neptune Scale empowers AI research teams to develop foundation models with efficiency, scale, and precision. As large‑scale model training grows more complex, requiring weeks or even months‑long processes, millions of parameters, and high compute resources, Neptune provides a scalable experiment tracking platform to address these operational challenges.

The platform’s architecture supports the ingestion of millions of data points per second, fast rendering of massive tables and charts, as well as filtering and comparison of thousands of metrics in almost real time.

Built for collaboration, Neptune’s customizable reports, dashboards, and secure self‑hosted deployment make it easy for teams building foundation models to share insights and work efficiently.

Neptune is the experiment tracker built to accelerate AI innovation, designed to match the scale and speed demanded by today’s most ambitious AI research teams.

We offer:

• Flexibility: 100% remote work with flexible working hours.
• Contract: Cooperation on an ICA basis only.
• Share in our success: Participate in the Employee Stock Option Plan and be part of our growth journey.
• Time off: 20 paid service‑free days per year.
• Ownership and impact: Space to take action, bring your ideas to life, and make a real impact.

By applying, you consent for neptune.ai to process your personal data to assess your suitability for the role you have applied for in accordance with the General Data Protection Regulation (GDPR). Your personal data will remain confidential and shared only with authorized personnel involved in the recruitment process. You have the right to access, rectify or delete your personal data at anytime. With your optional consent, we can retain your data for up to 12 months after the application to consider you for future suitable roles if you’re not a match for the current position.