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:

• 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

Education Requirements:

• Technical background through a degree in computer science or engineering or equivalent hands-on experience

Experience Requirements:

• 5+ years of product management experience, with a meaningful portion in search, data, or industry-specific AI products

• Experience building products for a specific industry or use case, combined with technical depth to work on underlying data

• A track record of real customer discovery

• Experience in API-first or developer-platform businesses

Other Requirements:

• Strong understanding of LLMs, AI agents, and how search and retrieval systems fit into agentic workflows

• Ability to influence and align cross-functional stakeholders without formal authority

Responsibilities:

• Own the vertical roadmap: decide where to invest, what to ship, and when a vertical is not worth it

• Shape the product surface on top of the data, so customers get something built for their job

• Find and evaluate the data behind each vertical across public sources and paid providers

• Sit with customers in target industries until you understand their workflow, then turn that into specs engineering can build

• Set what a good answer looks like in each use case, working with the evaluation team

Experience Requirements:

• 5+ years of product management experience, with a meaningful portion spent on high-scale search or ranking systems: web search, feed ranking at a large social platform, or a large ad engine

• A background as an engineer, ML engineer, or researcher on a production system in one of those areas

• Direct experience shipping a search or ranking change end to end, including how it was evaluated and what happened after it shipped

Other Requirements:

• A strong data foundation: can design an experiment, read eval results critically, and tell a real quality improvement from noise

• Product judgment to match technical depth

• Strong understanding of LLMs, AI agents, and how retrieval fits into agentic workflows

• Comfort with ambiguity, moving between strategy and execution without losing the thread

• Ability to influence and align cross-functional stakeholders without formal authority

Responsibilities:

• Set the quality bar and release criteria for search: what good means per use case, and what a change has to clear before it ships

• Own the depth, latency, and cost tradeoffs across our search products, and make them explicit and defensible

• Shape the direction of our index: what it needs to cover, how fresh it needs to be, and what quality bar it has to meet

• Build a point of view on where search infrastructure is going as agents become the main consumer, and turn that into a roadmap

• Know how we compare to alternatives and drive the work that closes gaps that matter

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

Education Requirements:

• LL.B. or equivalent law degree from a top-tier university

Experience Requirements:

• 4-9 years of experience post internship/trainee program, practicing tech commercial and privacy law at both a leading law firm and as in-house counsel at a tech company

• Strong experience drafting and negotiating complex commercial and technology agreements, particularly Fortune 500 customer-facing contracts under pressure

• Experience in SaaS AI companies

• Experience with global privacy regulations (such as GDPR, CPRA, and U.S. state privacy laws)

• Experience with U.S. copyright and intellectual property laws

Other Requirements:

• Bar admission in the U.S., EU, or Israel

• Attention to details and ability to work accurately under time pressure

• Familiarity with global AI regulations

• Familiarity with data purchasing agreements

Responsibilities:

• Own the drafting, review, and negotiation of a wide range of customer-facing and commercial agreements

• Act as the primary legal partner for Go-to-Market teams, providing practical, business-oriented advice throughout customer negotiations

• Support and enhance Tavily’s privacy and data protection program, ensuring compliance with applicable regulations such as GDPR, CCPA, and other global standards

• Review and negotiate DPAs and provide ongoing legal guidance on privacy matters

• Drive complex, cross-border, and strategically important transactions involving multiple internal and external stakeholders

Benefits:

• meaningful equity

• 401K offering

• benefits

Experience Requirements:

• 3+ years

• ~2-4 years at MBB, a top VC, or an equivalent high-bar analytical environment

Other Requirements:

• US citizen/visa only

• AI-native: AI tools are your default for drafting, analysis, and automation, and you constantly push what they can do (required, not preferred)

• Financially fluent: models, unit economics, and investor-grade materials come naturally

• Sound judgment with sensitive company, customer, and personnel information

• Genuinely curious about payments, risk, and AI; you will build domain depth fast

Responsibilities:

• Own the operating dashboard (ARR, pipeline, retention, burn). Build board decks, investor updates, and financial models that hold up to scrutiny.

• Own product marketing, field marketing, and growth: positioning, launches, events, and pipeline-generating campaigns.

• Run the operating cadence: leadership meetings, goals, all-hands, and decision follow-through. Drive recruiting for priority roles from pipeline to close.

• Quarterback initiatives that cut across product, sales, and compliance; support partnership work with banks and card networks.

• Build AI into every workflow you touch: research, models, decks, campaigns, and operations.

Benefits:

• Offers Equity

Benefits:

• 0.1% – 0.2% equity

Other Requirements:

• UI/UX Design

• Product Design

• Figma

Responsibilities:

• Drive sales growth without friction

• Align the sales process with the buying journey

• Prioritize delightful buyer experiences over quotas