Principal Solutions Architect Sales Remote in USA or Canada See more

Neptune; Toronto; Remote; CAD 90,000 - 150,000; Full time

Job summary

Join a forward-thinking company as a Principal Solutions Architect, where you will engage with top research labs globally to enhance their use of an innovative platform. This impactful role focuses on customer success, driving product adoption, and uncovering upsell opportunities through expert technical support. You will lead Proof of Concepts, conduct technical demos, and bridge the gap between customers and product teams. With a commitment to flexibility, this role offers 100% remote work and the chance to make a significant impact in the AI research field. If you're passionate about technology and customer engagement, this opportunity is for you.

Benefits

100% remote work

Flexible hours

Employee Stock Option Plan

20 paid service-free days per year

Space to take action and make an impact

Qualifications

• 5-10 years of experience in data science, machine learning, or AI.
• Expertise in AI/ML frameworks and model development.

Responsibilities

• Lead technical engagements and serve as the primary advisor.
• Drive Proof of Concepts for prospective customers.

Skills

Data Science

Machine Learning

Statistical Analysis

Problem Solving

Customer Engagement

Education

Master's in Mathematics

PhD in Data Science

Tools

PyTorch

TensorFlow

AWS

GCP

Azure

Job description

As a Principal Solutions Architect, you will engage with top research labs worldwide, 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, focusing on driving product adoption and identifying upsell opportunities. This is a hands-on, impactful role centered on customer success through expert technical support and collaboration.

Key Responsibilities:

1. 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 locations such as San Francisco, Toronto, and Tel Aviv.
2. Bridge Between Customers and Product Team: Capture and translate customer insights into detailed product requirements for engineering and UX teams, ensuring solutions meet real-world needs.
3. Drive Proof of Concepts (PoCs): Lead and execute PoCs for prospective customers, ensuring smooth integration, technical validation, and a clear path to adoption.
4. Technical Demos & Discussions: Conduct detailed technical demos and discussions, demonstrating how Neptune can solve specific customer challenges and seamlessly integrate with their workflows.
5. Upsell & Expansion Opportunities: Identify potential upsell and cross-sell opportunities by aligning product capabilities with evolving customer requirements.
6. Problem Solving & Escalation Support: Act as a high-level technical troubleshooter for customer issues, collaborating with internal teams to resolve complex challenges.
7. Documentation and Knowledge Sharing: Contribute insights on customer use cases, best practices, and focus areas for case studies, aiding in resource development to 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 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, leading PoCs and delivering technical solutions aligned with customer goals.
• Strategic insight into how technical decisions impact business outcomes, with a focus on identifying upsell opportunities.
• High 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 becomes more complex, Neptune offers a scalable experiment tracking platform to address operational challenges.

The platform supports ingestion of millions of data points per second, fast rendering of large tables and charts, and filtering and comparison of thousands of metrics in near real time.

Built for collaboration, Neptune’s customizable reports, dashboards, and secure self-hosted deployment facilitate efficient sharing of insights among teams building foundation models.

Neptune is designed to accelerate AI innovation, matching the scale and speed demanded by today's ambitious AI research teams.

We offer:

• Flexibility: 100% remote work with flexible hours.
• Contract: Cooperation on an ICA basis only.
• Share in our success: Participate in our 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 ideas to life, and make a real impact.

Any questions?

Check our ultimate guide for candidates at neptune.ai. Don’t hesitate to contact our Talent Acquisition team, and visit our About Us page to learn more about Neptune.

By applying, you consent for neptune.ai to process your personal data in accordance with GDPR. Your data will remain confidential and shared only with authorized personnel involved in recruitment. You may access, rectify, or delete your data at any time. With your optional consent, we may retain your data for up to 12 months for future opportunities if you are not selected for this role.