RunPod, Inc.

RunPod, Inc. is a technology company focused on cloud solutions, currently looking to expand its team with positions such as Cloud Software Engineer and Technical Support Analyst (L2).

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🏢 Sinch

👥 1001-5000💰 $48,845,918 Post-IPO Debt 4 months agoMessaging SaaS Telecommunications Mobile Software

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🏢 Coinbase Careers Page

👥 1000-5000

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🔥 Strategic Account Executive

Posted 15 days ago

📍 US, Canada, Europe

🧭 Full-Time

💸 90000.0 - 150000.0 USD per year

🔍 AI infrastructure

3+ years of enterprise SaaS sales experience with a history of closing complex, multi-million-dollar deals.
Deep understanding of SaaS solutions and enterprise-level infrastructure challenges.
AI expertise is an asset.
Skilled in advanced sales frameworks for effective negotiation.
Familiarity with the NEPQ framework is an asset.
Adept at high-stakes negotiations and comfortable presenting to C-suite executives.
Goal-oriented and self-motivated.

Build, manage, and close multi-million-dollar enterprise SaaS deals.
Collaborate to refine go-to-market strategies for enterprise accounts.
Provide tailored AI infrastructure solutions to clients.
Consistently meet or exceed sales quotas to position as top earner.
Partner with product, engineering, and customer success teams.
Represent the company at industry events and client meetings.
Document customer and deal activities in the CRM.

Artificial IntelligenceNegotiationSales experienceCRMSaaS

Posted 15 days ago

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🔥 Email Marketing Lead

Posted 18 days ago

📍 US, Canada, Europe

💸 100000.0 - 120000.0 USD per year

🔍 AI and Machine Learning

2+ years of dedicated email marketing experience, preferably in B2B SaaS or a technical product environment.
Proven ability to communicate effectively with developer audiences, turning technical concepts into compelling messaging.
Strong data-driven mindset with the ability to interpret metrics and draw insights.
Familiarity with marketing automation platforms (e.g., Customer.io) and A/B testing methodologies.
Exceptional writing skills with consistent brand tone and narrative.

Own and optimize email lifecycle campaigns including newsletters, product announcements, and nurture campaigns.
Write email copy that resonates with a developer audience, collaborating with content writers on relevant topics.
Analyze key metrics to identify trends and implement A/B tests for ongoing optimization.
Dedicate time to audience segmentation and campaign strategy planning.
Collaborate with technical partners for integrations and ensure compliance with best practices.

Data AnalysisA/B testing

Posted 18 days ago

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🔥 Growth Full Stack Engineer

Posted about 2 months ago

📍 USA, Canada, Europe

💸 120000 - 140000 USD per year

🔍 AI and machine learning

3+ years of fullstack engineering experience, particularly in front-end development.
Strong understanding of conversion rate optimization principles and user behavior.
Demonstrated experience in A/B testing and multivariate testing for web and mobile applications.
Proficiency with JavaScript frameworks (React, Next.js) and familiarity with analytics tools (e.g., Google Analytics, Hotjar).
Strong data-driven mindset and proactive problem-solving skills.

Lead CRO efforts for the website and sign-up flows.
Design, develop, and implement A/B tests and multivariate experiments.
Develop landing pages and dynamic content experiences to personalize user interactions.
Analyze data and report findings, using insights to inform iterations.
Collaborate with design and marketing to create high-converting user journeys.

Data AnalysisHTMLCSSJavascriptGoogle AnalyticsNext.jsReactA/B testing

Posted about 2 months ago

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🔥 Data Scientist

Posted 2 months ago

📍 US, Canada, Europe

🧭 Full-Time

💸 180000 - 210000 USD per year

🔍 AI and machine learning

Education: Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or a related field.
Experience: 3+ years in a Data Scientist or similar role, ideally in a SaaS or IaaS setting.
Proficiency in Python or R for data analysis and modeling.
Strong SQL skills for data extraction and manipulation.
Experience with predictive modeling including lookalike modeling, churn prediction, and LTV estimation.
Familiarity with revenue forecasting methods with multiple data inputs.
Knowledge of machine learning libraries like scikit-learn, TensorFlow, and data visualization tools such as Mode, Tableau, or Power BI.
Experience with data warehousing platforms such as Snowflake, Athena, or Redshift.
Strong communication skills for presenting findings to non-technical stakeholders.
Ability to work cross-functionally with product, engineering, and sales teams.
A proactive problem-solving mindset.

Build lookalike models to predict user profiles and algorithms for Customer Lifetime Value (LTV).
Identify key behaviors associated with retention and create churn prediction models.
Translate data discoveries into actionable recommendations for sales, product, and marketing teams.
Collaborate with stakeholders to promote data-driven initiatives focusing on user retention and engagement.
Develop dynamic revenue forecasts, accounting for signup rates, conversion metrics, and churn.

PythonSQLData AnalysisMachine LearningSnowflakeTableauStrategyAlgorithmsData scienceTensorflowCommunication Skills

Posted 2 months ago

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🔥 Site Reliability Engineer

Posted 2 months ago

📍 USA

🧭 Full-Time

💸 152000 - 175000 USD per year

🔍 AI and machine learning

Deep knowledge of Linux kernel internals, containerization (Docker), virtualization (Kata/QEMU), and networking components.
Extensive experience with distributed system troubleshooting and design.
Proficiency in at least one programming language, preferably Python or Golang.
Proven experience implementing and managing SLIs and SLOs.
Experience with pull-based configuration management tools such as Chef or Puppet.
Demonstrated ability to manage large-scale bare-metal fleets (5,000+ machines) across multiple data centers.
Strong background in implementing secure best practices for foundational systems, including secret management, AWS IAM permissions, and key distribution systems.
Comprehensive understanding of OSI model Layers 3, 4, and 7.
Successful completion of a background check.

Design, implement, and maintain robust, scalable, and highly available systems.
Troubleshoot and resolve complex issues in distributed environments.
Develop and implement SLIs and SLOs to ensure system reliability and performance.
Manage and optimize large-scale bare-metal fleets across multiple data centers.
Implement and maintain secure practices for foundational systems.
Collaborate with cross-functional teams to improve system design and operation.
Automate processes to increase efficiency and reduce human error.
Participate in on-call rotations to provide 24/7 support for critical systems.

DockerPythonGoGrafanaCommunication Skills

Posted 2 months ago

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🔥 Data Analyst

Posted 2 months ago

📍 US, Canada, Europe

🧭 Full-Time

💸 140000 - 160000 USD per year

🔍 AI and machine learning

Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field. A Master’s degree is a plus.
At least three years of experience in a data analytics role, preferably with user and machine data exposure.
Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
Proficiency in data analysis tools and programming languages such as SQL, Python, and R.
Experience with data visualization tools (e.g., Mode, Tableau, or Power BI).
Experience with data warehousing platforms (e.g., Snowflake, Athena, or Redshift).
Excellent verbal and written communication skills, with the ability to translate complex data into actionable insights.
Strong problem-solving skills.
Successful completion of a background check.

Analyze large, complex datasets to extract actionable insights about users, product performance, and operational efficiency.
Work closely with cross-functional teams, including engineering, marketing, operations, and sales, to support data-driven decision-making.
Develop and implement data collection systems and strategies that optimize statistical efficiency and data quality.
Identify, analyze, and interpret trends or patterns in complex data sets.
Prepare reports and dashboards that use relevant data to communicate trends, patterns, and predictions.
Collaborate with engineering teams to enhance data collection and analysis processes.
Present findings and recommendations to stakeholders and executive leadership clearly and compellingly.
Stay abreast of industry trends and best practices in data analysis and data science.

PythonSQLData AnalysisSnowflakeTableauData scienceCommunication SkillsAnalytical SkillsCollaborationData visualization

Posted 2 months ago

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🔥 Site Reliability Engineer - Manager

Posted 3 months ago

📍 USA

🧭 Full-Time

💸 180000 - 200000 USD per year

🔍 AI and machine learning

5+ years of experience in Site Reliability Engineering or a similar role.
3+ years of experience in a technical leadership or management position.
Deep understanding of Linux systems, containerization, virtualization, and networking technologies.
Strong background in managing large-scale distributed systems and bare-metal fleets.
Expertise in infrastructure-as-code and configuration management tools.
Proficiency in at least one programming language, preferably Python or Golang.
Experience with cloud platforms (AWS, GCP, Azure) and services.
Strong knowledge of monitoring, observability, and alerting systems.
Excellent problem-solving skills for managing complex incidents.
Proven track record with SLIs, SLOs, and SLAs.
Strong communication skills for conveying technical concepts to various stakeholders.

Lead and mentor a team of Site Reliability Engineers, fostering a culture of innovation and technical excellence.
Develop and implement strategic plans to enhance the reliability and scalability of our infrastructure.
Collaborate with cross-functional teams to align SRE initiatives with organizational goals.
Establish and maintain SLIs, SLOs, and SLAs for critical systems.
Drive the adoption of best practices in automation and incident response.
Oversee management of large-scale bare-metal fleets across multiple data centers.
Ensure robust security practices are implemented throughout infrastructure.
Manage on-call rotations and escalate during critical incidents.
Contribute to capacity planning and resource allocation for growth.
Develop and track KPIs for SRE team and infrastructure health.

AWSLeadershipPythonGCPMachine LearningAzureGoCommunication SkillsProblem Solving

Posted 3 months ago

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🔥 Network Software Engineer

Posted 3 months ago

📍 USA

🧭 Full-Time

💸 150000 - 200000 USD per year

🔍 AI and machine learning

Deep knowledge of the Linux networking stack and kernel internals.
Proven experience writing and optimizing code for network accelerators like XDP or VPP at scale.
Comprehensive understanding of OSI layers 1-4, including practical implementation experience.
Experience with high performance network accelerators like XDP (eXpress Data Path) and VPP (Vector Packet Processing).
Strong background in TLS/IPSEC/VXLAN implementation and optimization.
Proficiency in C, with a focus on high-performance, low-level programming.
Demonstrated ability to optimize network performance in large-scale, high-throughput environments.
Strong communication skills and ability to explain complex networking concepts to diverse audiences.
Successful completion of a background check.

Design and implement high-performance networking software for Linux environments.
Develop and maintain software for high-performance NICs (e.g., Mellanox/NVIDIA UFM).
Implement and optimize network protocols at OSI layers 1-4.
Design and implement secure networking solutions, including mTLS/IPSEC.
Collaborate with hardware supply teams to co-design software solutions that leverage advanced NIC features.
Troubleshoot complex networking issues in large-scale distributed environments.
Participate in code reviews and contribute to the team's technical standards.
Implement networking systems which provide isolation between multi-tenant workloads.

DockerSoftware DevelopmentCommunication SkillsAnalytical SkillsCollaborationC (Programming language)

Posted 3 months ago

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🔥 Cloud Software Engineer

Posted 3 months ago

📍 USA

🧭 Full-Time

💸 $150,000 - $200,000 per year

🔍 AI and machine learning

Bachelor’s degree in Computer Science, Computer Engineering or a related field, or equivalent experience.
3+ years of professional experience in software development, with experience in Go.
Strong understanding of the Go programming language and its ecosystem.
Strong problem-solving skills and ability to work in a collaborative environment.
Excellent communication skills and attention to detail.
Successful completion of a background check.

Design, develop, and maintain cloud infrastructure software, primarily in Go.
Collaborate with managers and other engineers to define and implement product requirements.
Troubleshoot and optimize existing code to improve performance and reliability.
Participate in code reviews and contribute to the team's technical standards.
Contribute to architectural discussions and decisions.
Stay up-to-date with industry trends and emerging technologies.

Software DevelopmentGoCommunication Skills

Posted 3 months ago

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RunPod, Inc.

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