Other Requirements:

• Legally authorized to work in the United States

Benefits:

• 100% company-paid medical, dental, and vision coverage for employees and families

• 401(k) plan up to 4% company match with immediate vesting

• Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers

• Remote work reimbursement up to $85/month for mobile and internet

• Company-paid short-term, long-term and life insurance coverage

Experience Requirements:

• 6+ years building production backend systems, of which 3+ years actively building and operating billing or metering systems in production

• Hands-on experience with usage-based / metered billing: rating, aggregation, and proration logic

• Hands-on experience with subscription / recurring billing alongside usage-based models

• End-to-end integration of a third-party billing platform (Stripe Billing, Metronome, Orb, or Zuora)

• Production experience with transactional databases (Postgres or equivalent) for financial-grade data

Other Requirements:

• Strong expertise in Python and TypeScript/Node (Go a plus)

• Built high-volume event / usage pipelines into a data warehouse

• Product-Led Growth (PLG) experience

• Hands-on with Auth0, Okta, or similar identity systems in production

• Shipped revenue systems under SOX or financial audit constraints

Responsibilities:

• Design and operate the billing platform end to end, from usage events to invoices

• Build metering and usage-aggregation pipelines that turn high-volume events into billable amounts

• Design and operate prepaid credit/wallet systems with auto top-up and balance management

• Support enterprise/contract billing with custom pricing, negotiated terms, and scheduled invoicing

• Build reconciliation, idempotency, and invoice-accuracy safeguards to ensure revenue data is always correct

Benefits:

• 100% company-paid medical, dental, and vision coverage for employees and families

• 401(k) plan up to 4% company match with immediate vesting

• Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers

• Remote work reimbursement up to $85/month for mobile and internet

• Company-paid short-term, long-term and life insurance coverage

Experience Requirements:

• 5-8 years in a DevOps or SRE role, working in production environments

• Proven experience designing and operating large-scale, distributed systems, with a solid understanding of API design, reliability, and performance at scale

• Strong Kubernetes experience in a managed cloud environment

• Proficiency with infrastructure as code (Terraform or similar)

• Experience with GitOps-based deployment workflows

Other Requirements:

• Built or maintained observability stacks (logging, metrics, alerting)

• Experience handling production incidents calmly and methodically

Responsibilities:

• Managing Kubernetes clusters across multiple environments and regions

• Owning infrastructure as code for all resources

• Maintaining and improving CI/CD pipelines and GitOps-based deployments

• Maintaining and optimize real-time data pipelines that process billions of events per day across distributed queues and stream processors

• Building out monitoring, alerting, and observability

Experience Requirements:

• 3+ years of software engineering experience, ideally in a customer-facing technical role

• Strong hands-on engineering ability, especially with Python, APIs, backend systems, and production software development

• Experience building with LLMs, Retrieval-Augmented Generation, agent architectures, context engineering, and modern AI application stacks

• Experience working with enterprise customers, including technical discovery, POCs, solution design, stakeholder management, and production rollout

Other Requirements:

• Strong understanding of how enterprises evaluate, deploy, secure, and scale AI systems

• Ability to communicate clearly with both technical and executive stakeholders

• High autonomy, strong ownership, and comfort operating in a fast-moving startup environment

• Excellent written and verbal communication skills

• Based in New York City, or willing to relocate

Responsibilities:

• Work directly with enterprise customers to understand their AI use cases, technical architecture, success criteria, and deployment requirements

• Lead technical discovery and solution design during pre-sales and expansion conversations

• Scope, build, and deliver proofs of concept that demonstrate clear business and technical value

• Design and implement production-ready integrations using Tavily’s API, including RAG pipelines, agent workflows, internal tools, and GenAI applications

• Partner with customer engineering, data, product, and AI teams to move use cases from prototype to production

Experience Requirements:

• 5+ years of software engineering experience, ideally in a customer-facing technical role

• Strong hands-on engineering ability, especially with Python, APIs, backend systems, and production software development

• Experience building with LLMs, Retrieval-Augmented Generation, agent architectures, context engineering, and modern AI application stacks

• Experience working with enterprise customers, including technical discovery, POCs, solution design, stakeholder management, and production rollout

Other Requirements:

• Strong understanding of how enterprises evaluate, deploy, secure, and scale AI systems

• Ability to communicate clearly with both technical and executive stakeholders

• High autonomy, strong ownership, and comfort operating in a fast-moving startup environment

• Excellent written and verbal communication skills

• Based in New York City, or willing to relocate

Responsibilities:

• Work directly with enterprise customers to understand their AI use cases, technical architecture, success criteria, and deployment requirements

• Lead technical discovery and solution design during pre-sales and expansion conversations

• Scope, build, and deliver proofs of concept that demonstrate clear business and technical value

• Design and implement production-ready integrations using Tavily’s API, including RAG pipelines, agent workflows, internal tools, and GenAI apps

• Partner with customer engineering, data, product, and AI teams to move use cases from prototype to production

Benefits:

• 100% company-paid medical, dental and vision coverage for employees and families

• 401(k) plan up to 4% company match with immediate vesting

• Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers

• Remote work reimbursement up to $85/month for mobile and internet

• Company-paid short-term, long-term and life insurance coverage

Experience Requirements:

• 3+ years of software engineering experience, ideally in a partner-facing, developer-facing, or customer-facing technical role

• Strong hands-on engineering ability, especially with Python, APIs, SDKs, backend systems, and developer-facing integrations

• Experience building with LLMs, Retrieval-Augmented Generation, agent architectures, context engineering, and AI application frameworks

• Experience with at least one major agent or LLM orchestration framework, such as LangChain, LlamaIndex, LangGraph, OpenAI Agents SDK, CrewAI

Other Requirements:

• Deep interest in the AI ecosystem and strong familiarity with the modern agent stack

• Strong product intuition and ability to design integrations that are technically sound and easy to use

• Excellent written and verbal communication skills across engineering, product, partner, and developer audiences

• Ability to create clear technical content, including documentation, tutorials, example apps, demos, and reference architectures

• Based in New York City, or willing to relocate

Responsibilities:

• Work directly with ecosystem partners, including model providers, agent frameworks, orchestration platforms, AI developer tools, ISVs, and infrastructure companies

• Design, build, and maintain high-quality integrations that make Tavily easy to adopt across the modern AI and agent stack

• Create reference implementations, example applications, SDK examples, retrieval pipelines, agent workflows, demos, and technical templates

• Collaborate with partner engineering and product teams on integration design, technical tradeoffs, launch plans, and adoption goals

• Support technical partner conversations from early exploration through integration launch, developer adoption, and ongoing iteration

Benefits:

• Competitive base pay ($150,000 - $200,000)

• Meaningful equity in a fast-growing company (stock options)

• Generous medical, dental & vision plans

• Flexible PTO

• $1,200 Home Office & Equipment Stipend

Experience Requirements:

• Experience in developer relations, developer advocacy, community, solutions engineering, customer success, or another customer-facing technical role

• Experience speaking at meetups or developer events (Preferred)

• Familiarity with AI libraries and frameworks, agent frameworks, or ML infrastructure and GPU workloads (Preferred)

Other Requirements:

• Ability to regularly attend events and conferences in person

• Able to speak publicly on behalf of a developer facing product

• Technically credible to build and demo real things on the platform

• A strong written voice

• Successful completion of a background check

Responsibilities:

• Produce demos, technical blog posts, videos, and webinars on a consistent cadence

• Deliver talks at developer and AI developer conferences, and build relationships with organizers and attendees

• Build tooling, extensions, and plugins that improve the developer experience on Runpod

• Design and run programs that scale core pillars: content, events, and community

• Show up consistently where developers are, build genuine relationships, and surface insights to Product

Benefits:

• Competitive base pay (175,000- 220,000 usd)

• Meaningful equity in a fast-growing company (stock options)

• Flexible PTO

• Remote work first environment

• $1,200 Home Office & Equipment Stipend

Experience Requirements:

• 5+ years of professional software engineering experience, with at least 3 years focused on data engineering in modern cloud environments

• Strong Python and advanced SQL, applied with an engineer's discipline

• Hands-on depth in a modern MPP/OLAP warehouse or query engine, including the internals (Snowflake preferred)

• Experience building and operating orchestrated pipelines (Dagster, Airflow, or similar) and analytics engineering with dbt or equivalent

• Track record of owning systems in production: monitoring, incident response, and follow-through

Other Requirements:

• Demonstrated ability to use AI tools to improve the speed and quality of work

• Excellent written communication

• Authorized to work in the United States without visa sponsorship

Responsibilities:

• Own the design, implementation, and operation of data pipelines end to end across Snowflake, dbt, and orchestration tools

• Build well-documented, high-quality data products that analytics, finance, and engineering teams rely on

• Treat data quality and observability as part of every deliverable

• Diagnose and optimize warehouse cost and performance across query profiles, clustering, and warehouse sizing

• Manage infrastructure as code (Terraform for AWS and Snowflake)

Benefits:

• Competitive base pay ($140,000 - $165,000)

• Meaningful equity in a fast-growing company (stock options)

• Generous medical, dental & vision plans

• Flexible PTO

• $1,200 Home Office & Equipment Stipend

Education Requirements:

• Technical degree in Computer Science, Engineering, or a related field (Preferred)

Experience Requirements:

• 4+ years of experience or equivalent expertise in technical program management, leading complex technology programs from planning through delivery

• Previous experience in infrastructure-focused organizations, with exposure to capacity planning, data center operations, or vendor/partner management

• Proven track record of partnering with 3+ cross-functional teams to deliver high-impact programs from planning through launch

• Proven track record of working with external infrastructure or hardware vendors globally

• Strong technical background in engineering and scalable SaaS/IaaS products or services

Other Requirements:

• Strong quantitative and analytical skills

• Deep understanding of the software development lifecycle (SDLC)

• Highly organized and detail-oriented

• Exceptional verbal and written communication skills

• Authorized to work in the United States without visa sponsorship

Responsibilities:

• Partner with Data Center Management and Host/Supply teams to run the capacity and utilization review cadence that feeds Supply's input into the product roadmap

• Own the relationship and escalation path with host and infrastructure partners

• Translate capacity and utilization data into concrete tradeoffs: where to add supply, where to consolidate, and how each option nets out on cost and reliability

• Build and drive project plans across Engineering, Product, and Supply stakeholders

• Act as the primary point of contact across teams, spotting risks and keeping stakeholders aligned

Benefits:

• AI FIRST: AI is the default stack: models, Agent, and Open Skill for everyone. Daily work starts with AI.

• World-class talent: Work with the strongest people worldwide. Overlap on core hours; location is open.

• Competitive compensation: Competitive cash and equity, set by level and impact. Early-stage ownership actually means something.

Benefits:

• AI FIRST: AI is the default stack: models, Agent, and Open Skill for everyone. Daily work starts with AI.

• World-class talent: Work with the strongest people worldwide. Overlap on core hours; location is open.

• Competitive compensation: Competitive cash and equity, set by level and impact. Early-stage ownership actually means something.

Benefits:

• AI FIRST: AI is the default stack: models, Agent, and Open Skill for everyone. Daily work starts with AI.

• World-class talent: Work with the strongest people worldwide. Overlap on core hours; location is open.

• Competitive compensation: Competitive cash and equity, set by level and impact. Early-stage ownership actually means something.

Benefits:

• AI FIRST: AI is the default stack: models, Agent, and Open Skill for everyone. Daily work starts with AI.

• World-class talent: Work with the strongest people worldwide. Overlap on core hours; location is open.

• Competitive compensation: Competitive cash and equity, set by level and impact. Early-stage ownership actually means something.

Benefits:

• Offers Equity

Benefits:

• full medical, dental, and vision coverage

• wellness programs

• flexible time-off programs

• retirement programs

• stock option program

Benefits:

• Fully remote job

• Flexible working schedule

• International company with large-scale vision

• Community of passionate experts

Education Requirements:

• Master’s degree in Computer Science, Mathematics or a similar field

Experience Requirements:

• 3yrs+ with Python 3.6+ and its main libraries

• 3+ years of experience with Machine Learning/Deep Learning

• Experience with PyTorch, Spacy, LLMs, Transformers, Vector Databases and LangChain

• Experience with cloud services like AWS, GCP or Azure

Other Requirements:

• Outstanding analytical and problem-solving skills

• Deep understanding of NLP concepts, algorithms, and state-of-the-art techniques

• Strong knowledge of math, probability, statistics and algorithms

• English: professional or fluent

• Familiarity with containerization and orchestration technologies

Responsibilities:

• Design and develop state-of-the-art NLP models and LLM applications

• Perform end-to-end data preparation

• Collaborate with cross-functional teams to define, design, and ship new features

• Optimize NLP models for performance, reliability, and maintainability

• Write clean, testable, and efficient code

Benefits:

• Flexibility and freedom of remote work

• Flexible and inclusive work environment

Responsibilities:

• Carefully engineer pixel perfect designs for our users

Benefits:

• Flexibility and freedom of remote work

• Flexible and inclusive work environment

Responsibilities:

• Back of the front end developer

• You are the backbone of our Vue 3 apps

Other Requirements:

• PST Working Hours

Benefits:

• Comprehensive Health, Dental, and Vision coverage

• 401(k) program with 2% matching

• Equity grant participation

• Flexible PTO with $900 FlexExperience budget

• FlexWellness program ($1,800 annually)

Education Requirements:

• Relevant professional certifications (CISSP, CISM, CRISC, or CISA)

Experience Requirements:

• 7+ years of experience in information security

• 3+ years in a leadership role

• Experience with security frameworks (SOC2, ISO27001, HIPAA)

• Experience with cloud security (AWS/GCP/Azure)

• Experience leading security at a SaaS or AI startup

Other Requirements:

• Knowledge of NIST CSF

• Experience with GDPR and CCPA

• Located in the continental US

Responsibilities:

• Own strategic vision and tactical execution of security program

• Oversee best practices in product security

• Partner with leadership to evaluate risks pragmatically

• Lead incident response life cycle

• Act as escalation point for complex customer requests