
11 - 50 employees
Founded 2022
🤖 Artificial Intelligence
☁️ SaaS
🏢 Enterprise
🔥 Funding within the last year
💰 $30M Series B - Pantomath on 2025-08
Artificial Intelligence • SaaS • Enterprise
Pantomath is an AI-powered data operations platform that provides a centralized Data Operations Center for monitoring, tracing, and automating the reliability of enterprise data pipelines. The platform combines real-time data observability, automated incident management, root-cause analysis, and agentic AI remediation to detect, resolve, and self-heal data issues across cloud data stacks and integrations (notably with Snowflake). Pantomath targets enterprises seeking to reduce manual data ops labor, improve data trust and compliance, optimize costs, and accelerate data-driven decisioning.
🕒 March 24
Improve your chances of getting an interview by checking your resume score before you apply.

11 - 50 employees
Founded 2022
🤖 Artificial Intelligence
☁️ SaaS
🏢 Enterprise
🔥 Funding within the last year
💰 $30M Series B - Pantomath on 2025-08
Artificial Intelligence • SaaS • Enterprise
Pantomath is an AI-powered data operations platform that provides a centralized Data Operations Center for monitoring, tracing, and automating the reliability of enterprise data pipelines. The platform combines real-time data observability, automated incident management, root-cause analysis, and agentic AI remediation to detect, resolve, and self-heal data issues across cloud data stacks and integrations (notably with Snowflake). Pantomath targets enterprises seeking to reduce manual data ops labor, improve data trust and compliance, optimize costs, and accelerate data-driven decisioning.
• Architect the Autonomous Engine: Design the core infrastructure that enables real-time monitoring and self-healing capabilities across massive, heterogeneous data environments. • Engineer the Remediation Layer: Build the brain that translates AI-driven diagnostics into safe, automated infrastructure actions • Scale the Platform: Influence our technical roadmap, choose the right tools for the job, and set the standard for engineering excellence as we scale from 1 to 100. • Close the Feedback Loop: Partner with early-adopter customers to solve complex, real-world data failures and turn those insights into hardened, automated features.
• 5+ years of experience in backend or infrastructure engineering with a focus on building large scale data systems • Proficient in leveraging AI coding assistants and committed to iteratively evolving engineering standards and SDLC workflows to maximize the impact of AI driven development • Strong programming skills in one or more of the following languages: Python, Scala, TypeScript, or Java • Deep comfort debugging complex failure modes in production systems • Strong customer empathy and ownership to build the right solution • Experience in cloud-native infrastructure technologies
Apply Now🕒 March 20
10,000+ employees
Senior pipeline and infrastructure engineer for Adobe Firefly tools, focusing on scalable backend services and collaborative development. Empowering creators with innovative solutions in a user-centric environment.
🏢🏡 San Francisco – Hybrid
💵 $159.2k - $301.6k / year
⏰ Full Time
🟠 Senior
🧑💻 Full-stack Engineer
🦅 H1B Visa Sponsor
🕒 March 19
11 - 50
Early career Software Engineer building technical foundations for Orb's core product. Collaborating with cross-functional teams to deliver effective and user-focused solutions.
🏢🏡 San Francisco – Hybrid
💵 $160k - $175k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
🧑💻 Full-stack Engineer
🦅 H1B Visa Sponsor
Graphite
🕒 March 18
11 - 50
🤖 Artificial Intelligence
🧬 Biotechnology
☁️ SaaS
Software Engineer building and scaling AI infrastructure for life sciences companies. Designing systems for enterprise-grade workflows and agent orchestration.
🏢🏡 San Francisco – Hybrid
💰 $10M Series unknown on 2025-01
⏰ Full Time
🟠 Senior
🔴 Lead
🧑💻 Full-stack Engineer
🕒 March 18
11 - 50
🤖 Artificial Intelligence
🔒 Cybersecurity
☁️ SaaS
Senior Product Engineer at Runlayer working with enterprise customers, translating their needs into product development and shaping the product roadmap.
🕒 March 18
501 - 1000
Software Engineer designing and building a ML and AI native platform for healthcare. Contributing to critical components of the SaaS platform and enhancing user experience.
🏢🏡 San Francisco – Hybrid
💵 $170k - $230k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
🧑💻 Full-stack Engineer