As a Principal Solutions Architect, you'll lead customer engagements, conduct demos, troubleshoot, and bridge customer insights to product teams, focusing on high-value client success.
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.
- 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.
Check our ultimate guide for candidates to neptune.ai.
Don’t hesitate to contact our Talent Acquisition team, and take a look at our About us page to get to know the story and faces behind Neptune.
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.
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.
neptune.ai Palo Alto, California, USA Office
2100 Geng Rd, Palo Alto, California, United States, 94303
Similar Jobs
Artificial Intelligence • Big Data • Cloud • Information Technology • Software • Big Data Analytics • Automation
Lead the end-to-end architecture and delivery of enterprise Anaplan planning solutions. Partner with Marketing Operations and cross-functional teams to gather requirements, build multidimensional models, integrate systems, ensure data integrity, and align solutions with business objectives. Serve as an Anaplan subject matter expert, guide stakeholders and delivery teams, apply platform best practices, and support continued expansion into additional business functions.
Top Skills:
AnaplanEnterprise Performance Management (Epm)Power BISQL
Security • Cybersecurity
Designs and demonstrates cybersecurity solutions for industrial control systems and critical infrastructure customers in Japan. Responsibilities include technical pre- and post-sales consulting, product demonstrations, solution design, proof-of-concept deployments, troubleshooting, proposal support, and collaboration with sales teams. The role requires expertise in cybersecurity, ICS/OT environments, networking, security monitoring tools, customer engagement, Japanese fluency, English proficiency, and regular travel throughout Japan.
Top Skills:
Apache NifiDcsDockerElasticsearchIcs/OtJupyterKibanaLinux CliLogstashNetwork TapsOsi ModelPort MirroringPurdue ModelScadaSpanTcp/IpTcpdumpTsharkWiresharkXot Cybersecurity
Consulting
Leads technical discovery, enterprise solution architecture, technology assessments, and implementation roadmaps for consulting clients. Designs architectures across applications, data, cloud, integration, and enterprise technology; advises executives on technology decisions, scalability, security, cost, and risk. Guides technical teams, resolves complex delivery challenges, develops proofs of concept and reusable standards, evaluates emerging technologies, and supports proposals, estimates, statements of work, and new business development.
Top Skills:
APIsArtificial IntelligenceAWSAzureCi/CdContainerizationData IntegrationData ModelingData PlatformsDatabasesGCPGenerative AiInfrastructure As CodeMachine LearningMonitoringObservability
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
