We’re building the search engine for AI agents. Our API is designed from the ground up to power Retrieval-Augmented Generation (RAG) and real-time reasoning in AI systems. By connecting LLMs to high-quality, trustworthy web content, we help developers build agents that are not only intelligent — but also informed.
We work with some of the most innovative teams in AI — from small startups shaping the ecosystem to the largest enterprises deploying AI at scale. Whether it’s powering sales assistants, research copilots, or internal knowledge tools, we’re the missing link between LLMs and the real world.
This is a full-time, on-site role for a Forward Deployed Engineer based in our New York office.
We’re looking for a technically exceptional engineer who’s excited to work directly with our customers and partners to design, prototype, and deploy integrations of Tavily’s API into real-world agentic systems. As a Forward Deployed Engineer, you’ll be embedded with strategic partners and high-value customers—playing a critical role in both pre-sales and post-deployment success. You’ll help build RAG pipelines, production-grade applications, and industry-specific GenAI use cases built on Tavily.
You’ll operate across the customer lifecycle—from early discovery and solution design to scaling usage and identifying new opportunities. You’ll bridge product, engineering, sales, partnerships, and customer success.
Work directly with customers to understand their use cases and build custom integrations using Tavily’s API.
Participate in pre-sales efforts, including sales calls, technical discovery, and proof-of-concept scoping.
Design and implement prototypes, proofs of concept, and production-ready systems alongside client teams.
Monitor API usage patterns and recommend improvements to increase reliability, efficiency, and coverage.
Collaborate with internal teams to influence roadmap priorities based on customer needs and recurring technical challenges.
Build reusable technical content including documentation, reference architectures, internal tools, and templates to scale future deployments.
Represent Tavily in customer conversations, architecture reviews, post-deployment tracking, and partner-facing technical engagements.
3+ years of software engineering experience, ideally in a customer-facing, consulting, or partner-focused role at a large company (e.g., Forward Deployed Engineer, Solutions Architect, Sales Engineer).
Obsession with AI ecosystem - strong engineering skills and experience working with the modern agent stack.
Deep understanding of agent architectures, Retrieval-Augmented Generation (RAG), LLMs, context engineering, and .
Strong interpersonal skills and comfort working directly with technical stakeholders at enterprises and partners.
Fast learner, highly autonomous, and excited to work in a fast-paced startup environment.
Based in New York City, Austin, SF, or willing to relocate.
Intro Call – An informal chat to get to know you, your background, and your interest in AI.
Take-Home Exercise – A short assignment similar to the work you’d do on the job.
Live Demo - A live demo to present the use case you built, your approach, and the business and technical value.
Final Meeting – A conversation with our leadership team.
We’re building the search engine for AI agents. Our API is designed from the ground up to power RAG and real-time reasoning in AI systems. By connecting LLMs to high quality, trustworthy web content, we help developers build agents that are not only intelligent, but also informed.
We work with some of the most innovative teams in AI, from small startups shaping the ecosystem to the largest enterprises deploying AI at scale. Whether it’s powering sales assistants, research copilots, or internal knowledge tools, we’re the missing link between LLMs and the real world.
As an AI Outcomes Manager at Tavily, you will serve as the trusted advisor and bridge between Tavily and our enterprise customers. You’ll guide customers through their entire journey, starting from onboarding and implementation, through ongoing adoption and enablement, to renewal and expansion. You are both a relationship builder and a product expert, ensuring our customers unlock the full power of Tavily’s AI-powered search platform.
In this role, you will become a strategic partner, engaging with executive sponsors and consulting customers on the development and execution of their AI/agentic roadmap. You’ll work closely with architects, and technical teams to define how LLMs, intelligent search, and autonomous agents can be integrated into their workflows and long-term strategy. By helping customers design scalable AI adoption plans and navigate the rapidly evolving landscape, you’ll position Tavily not only as a product provider, but as a critical driver of their competitive advantage. At the same time, you’ll act as the customer’s advocate internally, shaping product direction and influencing innovation to ensure Tavily continues to deliver maximum value.
Serve as a trusted partner, guiding customers through onboarding, implementation, and long-term adoption of Tavily’s AI search platform
Lead onboarding engagements by ensuring smooth integration, connectivity setup, and value realization across customer projects
Develop and deliver scalable onboarding materials: tutorials, “cookbooks,” best-practice guides, reference implementations
Proactively monitor customer health, usage metrics, and adoption signals to identify churn risk and expansion opportunities
Work cross-functionally with Sales, GTM Engineering, and Product to ensure seamless customer journeys
Be the voice of the customer, synthesizing feedback to influence Tavily’s product roadmap and developer experience improvements
Shape the future of the post-sale experience at Tavily
5+ years in technical, customer-facing roles such as Customer Success, Customer Success Architect, Implementation Consultant, or Renewals Account Manager, preferably in B2B SaaS
Proven experience working with technical users of developer tools or modern AI/LLM-based platforms. Comfort navigating complex technical conversations with both developers and business stakeholders is required
Outstanding communication and presentation skills; capable of building rapport across technical and executive audiences
Strong commercial instincts, with experience managing renewal cycles, forecasting, upsell/cross-sell, and using CRM tools (e.g. HubSpot, Salesforce) for pipeline and customer tracking
Deep empathy for customer outcomes, and a passion for helping users extract maximum value from our technology
Self-driven and able to thrive in fast-moving, ambiguous environments while managing multiple priorities with high autonomy
Bonus: Familiarity with AI/LLM orchestration (e.g. LangChain or similar) is a plus
Full-time employees at Tavily enjoy:
A young, open, and inclusive culture where everyone has real impact from day one
The chance to build alongside a fast-moving team at the forefront of agentic AI
Daily team lunches, plus fully stocked snacks to keep you energized
Full medical, dental, and vision insurance to keep you feeling your best
A deep-work culture that values curiosity, creativity, and continuous learning
Tavily is a cutting-edge company focused on providing a powerful and efficient Search API. We empower developers and businesses by delivering high-quality, relevant search results quickly and reliably. Join our team to help build the data infrastructure that supports and scales our core product.
We are seeking a highly motivated and experienced Data Engineer to join our growing team. You will be responsible for designing, constructing, installing, testing, and maintaining highly scalable data management systems. You will work closely with our engineering and devops teams to build and optimize the data pipelines that are crucial to the performance and accuracy of our Search API.
Design, build, and maintain efficient and reliable ETL/ELT pipelines for data warehousing.
Develop and improve our data infrastructure.
Ensure data quality, integrity, and security across all data platforms.
Optimize data systems for performance and scalability.
Troubleshoot and resolve issues related to data pipelines and data infrastructure.
Collaborate with cross-functional teams to understand data needs and deliver solutions.
A degree in Computer Science, Statistics, Engineering, or a related quantitative field.
3+ years of professional experience as a Data Engineer or in a similar role focused on data infrastructure.
Proficiency in Python.
Solid experience with relational databases (SQL) and NoSQL databases.
Experience with AWS and their data services.
Proven experience in building and optimizing data pipelines and data architectures.
Experience with Mongo/Snowflake/Redis/S3 General/S3 Express.
Experience with big data technologies
Experience with Airflow.
Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).
Experience working in a company focused on API services or search technology.
Knowledge of data governance and data security best practices.
About Tavily
We're building the infrastructure layer for agentic web interaction at scale. Our API is designed from the ground up to power Retrieval-Augmented Generation (RAG) and real-time reasoning in AI systems. By connecting LLMs to high-quality, trustworthy web content, we help developers build agents that are not only intelligent - but also informed.
We work with some of the most innovative teams in AI - from small startups shaping the ecosystem to the largest enterprises deploying AI at scale. Whether it’s powering sales assistants, research copilots, or internal knowledge tools, we’re the missing link between LLMs and the real world.
The Role: Front-End Engineer
We’re looking for a Front-End Engineer to own and evolve the developer and customer-facing experience at Tavily. You’ll build performant, scalable applications that make interacting with complex AI infrastructure intuitive and seamless.
You will work primarily in a modern TypeScript/React/Next.js stack and collaborate closely with backend, product, and design to ship fast and thoughtfully. This role is ideal for someone who values clean architecture, strong UX fundamentals, and high ownership in a fast-moving environment.
What You'll Do
Build and maintain production-grade features using TypeScript, React, and modern hooks-based patterns
Integrate with RESTful API routes built in Next.js and backend services powered by MongoDB and Snowflake
Implement secure authentication and authorization flows using Auth0, JWTs, and RBAC patterns (Owner/Admin/Member)
Develop billing and subscription experiences integrated with Stripe
What You Bring
2–5 years of professional front-end engineering experience
Experience building and maintaining applications in Next.js (SSR, API routes, routing patterns)
Experience integrating authentication systems (Auth0 or similar) and implementing RBAC
Experience working with production deployment workflows and Git-based environments
Strong product intuition and attention to detail
Ability to thrive in a fast-paced startup environment with high ownership
Based in NYC or open to relocating
Nice To Have
Experience working with MongoDB, Snowflake, or analytics-heavy applications
Familiarity with Stripe billing flows and subscription management
Experience with cookie consent or compliance tooling (e.g., OneTrust)
Experience with sanity
✨ Perks & Benefits
Full-time employees at Tavily enjoy:
🤝 A young, open, and inclusive culture where everyone has real impact from day one
🧠 The chance to build alongside a fast-moving team at the forefront of agentic AI
🍽 Daily team lunches + fully stocked snacks to keep you energized
🦷 Full medical, dental, and vision insurance to keep you feeling your best
🌱 A deep-work culture that values curiosity, creativity, and continuous learning
🏙 Hybrid-friendly setup with offices in New York and Tel Aviv
🛫 Generous time off to rest, recharge, and explore
","descriptionPlain":"About Tavily\n\nWe're building the infrastructure layer for agentic web interaction at scale. Our API is designed from the ground up to power Retrieval-Augmented Generation (RAG) and real-time reasoning in AI systems. By connecting LLMs to high-quality, trustworthy web content, we help developers build agents that are not only intelligent - but also informed.\n\nWe work with some of the most innovative teams in AI - from small startups shaping the ecosystem to the largest enterprises deploying AI at scale. Whether it’s powering sales assistants, research copilots, or internal knowledge tools, we’re the missing link between LLMs and the real world.\n\n\n\nThe Role: Front-End Engineer\n\nWe’re looking for a Front-End Engineer to own and evolve the developer and customer-facing experience at Tavily. You’ll build performant, scalable applications that make interacting with complex AI infrastructure intuitive and seamless.\n\nYou will work primarily in a modern TypeScript/React/Next.js stack and collaborate closely with backend, product, and design to ship fast and thoughtfully. This role is ideal for someone who values clean architecture, strong UX fundamentals, and high ownership in a fast-moving environment.\n\n\n\nWhat You'll Do\n\n - Build and maintain production-grade features using TypeScript, React, and modern hooks-based patterns\n\n - Integrate with RESTful API routes built in Next.js and backend services powered by MongoDB and Snowflake\n\n - Implement secure authentication and authorization flows using Auth0, JWTs, and RBAC patterns (Owner/Admin/Member)\n\n - Develop billing and subscription experiences integrated with Stripe\n\nWhat You Bring\n\n - 2–5 years of professional front-end engineering experience\n\n - Experience building and maintaining applications in Next.js (SSR, API routes, routing patterns)\n\n - Experience integrating authentication systems (Auth0 or similar) and implementing RBAC \n\n - Experience working with production deployment workflows and Git-based environments\n\n - Strong product intuition and attention to detail\n\n - Ability to thrive in a fast-paced startup environment with high ownership\n\n - Based in NYC or open to relocating\n\n\n\nNice To Have\n\n - Experience working with MongoDB, Snowflake, or analytics-heavy applications\n\n - Familiarity with Stripe billing flows and subscription management\n\n - Experience with cookie consent or compliance tooling (e.g., OneTrust)\n\n - Experience with sanity\n\n\n\n✨ Perks & Benefits\n\nFull-time employees at Tavily enjoy:\n\n🤝 A young, open, and inclusive culture where everyone has real impact from day one\n\n🧠 The chance to build alongside a fast-moving team at the forefront of agentic AI\n\n🍽 Daily team lunches + fully stocked snacks to keep you energized\n\n🦷 Full medical, dental, and vision insurance to keep you feeling your best\n\n🌱 A deep-work culture that values curiosity, creativity, and continuous learning\n\n🏙 Hybrid-friendly setup with offices in New York and Tel Aviv\n\n🛫 Generous time off to rest, recharge, and explore","compensation":{"compensationTierSummary":"$100K – $200K","scrapeableCompensationSalarySummary":"$100K - $200K","compensationTiers":[{"id":"eec6abbd-cdcc-4928-94fb-a0f3c171d555","tierSummary":"$100K – $200K","title":null,"additionalInformation":null,"components":[{"id":"c80e9bc4-c0b8-4cd9-bdc5-60f6f19b7df7","summary":"$100K – $200K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":100000,"maxValue":200000}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":100000,"maxValue":200000}]}},{"id":"0253a9ab-9079-4581-a964-4120eeb244d1","title":"Accounts Receivable Manager","department":"Operations","team":"Operations","employmentType":"FullTime","location":"Israel","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2026-02-25T15:18:51.076+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressCountry":"Israel","addressLocality":"Tel Aviv"}},"jobUrl":"https://jobs.ashbyhq.com/tavily/0253a9ab-9079-4581-a964-4120eeb244d1","applyUrl":"https://jobs.ashbyhq.com/tavily/0253a9ab-9079-4581-a964-4120eeb244d1/application","descriptionHtml":"Role Overview
We’re looking for a detail-oriented and systems-minded Accounts Receivable Manager to own Tavily’s end-to-end AR function. This role will be responsible for billing accuracy, collections, cash application, and AR reporting, while partnering closely with Sales, Customer Success, and Finance leadership to support growth and strong customer relationships.
You’ll report directly to the CFO and play a key role in building scalable financial processes as Tavily continues to expand.
Key Responsibilities
Own the full AR lifecycle: invoicing, collections, cash application, credits, and adjustments.
Ensure timely, accurate invoicing aligned with contracts, usage, and pricing terms.
Monitor AR aging, follow up on overdue balances, and drive consistent collections processes.
Maintain accurate customer AR records and resolve billing discrepancies efficiently.
Cross-Functional Collaboration
Partner with Sales and Customer Success to ensure clean handoffs from contract to invoice.
Support customer conversations around billing questions with clarity and professionalism.
Work with Legal and Finance on contract terms that impact billing and revenue recognition.
Reporting & Controls
Prepare regular AR reporting for the CFO.
Support month-end close activities related to AR and revenue.
Ensure compliance with internal controls, audit requirements, and accounting standards.
Qualifications
Required
2+ years of experience in accounts receivable.
Strong understanding of invoicing and collections.
Experience partnering cross-functionally with Sales, Customer Success, and Finance.
High attention to detail with the ability to manage multiple priorities.
Strong communication skills, especially in customer-facing billing situations.
Preferred
Experience in SaaS, usage-based pricing, or API-driven products.
Familiarity with Stripe or Tabs systems.
Experience supporting audits and month-end close.
Comfort operating in a fast-growing, ambiguous environment.
About Tavily
Tavily is building the search engine for AI agents. We believe the future of work will be led by AI agents, and that requires restructuring how the web is accessed. Our Search API provides web access for AI agents, enabling real-time internet search optimized for LLMs and Retrieval-Augmented Generation (RAG).
We are backed by leading investors and serve developers and enterprises worldwide. Our team is fast-moving and ambitious. We ship quickly, iterate constantly, and care deeply about impact.
The Role
You'll build the systems that power how AI interacts with the live web.
You'll design and implement large-scale, intelligent web acquisition pipelines, making sense of an ever-changing online ecosystem and transforming it into structured, high-quality data.
This role blends technical understanding of browsers, networks, and automation with hands-on engineering.
You'll work on adaptive systems that navigate modern websites, understand evolving web interaction ,detection systems, and gather meaningful information safely, efficiently, and at scale.
Your work will directly shape Tavily's ability to provide AI agents with accurate, real-time knowledge of the world , bridging the gap between the open web and intelligent reasoning.
This position is based in Israel and requires existing legal authorization to work in Israel. Tavily is not able to provide visa sponsorship for this role.
What You'll Do
Build distributed data acquisition systems that capture and structure the live web
Investigate and analyze browser internals, fingerprinting, and anti-automation systems to develop stealthy, adaptive orchestration layers
Prototype and deploy intelligent automation frameworks using Playwright, Puppeteer, and low-level browser control protocols (CDP)
Conduct hands-on research into network flows, JavaScript-based protections, and emerging web standards affecting automation
Collaborate with AI and infrastructure teams to integrate real-time web data into retrieval pipelines and LLM-powered agents
Translate deep technical insights into production-grade components, balancing research freedom with engineering rigor
Continuously evolve Tavily's capabilities in resilience, speed, and authenticity of web interaction
What We're Looking For
3–5 years of experience as a backend or systems engineer, ideally working with large-scale, distributed, or web-facing infrastructure
Strong programming skills in Python or Node.js, with experience in Go or C++ considered a strong plus
Proven experience building and maintaining browser automation systems (Playwright, Puppeteer, or CDP) in production environments
Solid understanding of browser internals, network protocols, and web interaction mechanisms
Experience designing high-performance, resilient systems that handle scale, concurrency, and complex orchestration
Strong debugging and analytical skills - able to investigate edge cases, performance bottlenecks, and behavior under dynamic web conditions
Comfortable working in a fast-moving environment, collaborating closely with product, AI, and infrastructure teams to ship reliable systems quickly
Excellent documentation and communication skills to ensure smooth integration and operational visibility
Nice to Have
Familiarity with cloud infrastructure, containerization (Docker), Kubernetes, and CI/CD
Experience integrating AI or retrieval systems into production pipelines
About Tavily
We're building the infrastructure layer for agentic web interaction at scale. Our API is designed from the ground up to power Retrieval-Augmented Generation (RAG) and real-time reasoning in AI systems. By connecting LLMs to high-quality, trustworthy web content, we help developers build agents that are not only intelligent — but also informed.
We work with some of the most innovative teams in AI — from small startups shaping the ecosystem to the largest enterprises deploying AI at scale. Whether it’s powering sales assistants, research copilots, or internal knowledge tools, we’re the missing link between LLMs and the real world.
The Role: Enterprise Account Executive
Tavily is looking for a driven Enterprise Account Executive to help build and scale our enterprise business. In this role, you will be responsible for identifying, developing, and closing new business with large organizations that are building with AI, data platforms, and developer-first infrastructure.
You will work with technical buyers, product leaders, and executives to help them leverage Tavily’s AI-powered search and data capabilities. This is an opportunity to join a fast-growing team where you will help shape the enterprise go-to-market strategy while owning meaningful revenue targets and strategic accounts.
The ideal candidate is comfortable navigating complex enterprise sales cycles, partnering with technical stakeholders, and thriving in a high-growth startup environment.
What You'll Do
Own the full sales cycle from prospecting to close for enterprise accounts.
Identify and develop new enterprise opportunities through outbound, partnerships, and inbound demand.
Build strong relationships with technical and executive stakeholders, including engineering leaders, product teams, and C-suite decision-makers.
Lead complex sales cycles involving multiple stakeholders, technical validation, and procurement processes.
Work closely with Sales Engineering and Product teams to demonstrate Tavily’s value and support technical evaluations.
Develop strategic account plans for target enterprises and expand Tavily’s footprint within key customers.
Maintain accurate pipeline management and forecast revenue in CRM.
Share customer insights to help inform product development and go-to-market strategy.
What You Bring
5-10 years of B2B SaaS or infrastructure sales experience, with a focus on enterprise customers.
Proven ability to close complex enterprise deals and exceed quota.
Experience managing multi-stakeholder sales cycles with technical and business buyers.
Strong prospecting and pipeline generation skills.
Ability to communicate the value of technical products to both technical and non-technical audiences.
Self-starter mentality with the ability to operate in a fast-paced startup environment.
Excellent presentation, negotiation, and relationship-building skills.
Nice To Have
Experience selling AI, developer tools, APIs, or data infrastructure.
Background selling to engineering teams, AI teams, or data platform leaders.
Familiarity with enterprise sales methodologies such as MEDDICC, MEDDPICC, or Command of the Message.
Experience working in high-growth startups.
Technical fluency that allows you to effectively engage with developers and technical decision-makers.
Perks & Benefits
Full-time employees at Tavily enjoy:
An open and inclusive culture where everyone has real impact from day one
Monthly Meals Card
401K
Full medical, dental, and vision insurance to keep you feeling your best
A deep-work culture that values curiosity, creativity, and continuous learning
About Tavily
We're building the infrastructure layer for agentic web interaction at scale. Our API is designed from the ground up to power Retrieval-Augmented Generation (RAG) and real-time reasoning in AI systems. By connecting LLMs to high-quality, trustworthy web content, we help developers build agents that are not only intelligent — but also informed.
We work with some of the most innovative teams in AI — from small startups shaping the ecosystem to the largest enterprises deploying AI at scale. Whether it’s powering sales assistants, research copilots, or internal knowledge tools, we’re the missing link between LLMs and the real world.
The Role: Commercial Account Executive
Tavily is seeking a motivated Commercial Account Executive to help expand our presence with mid-market and high-growth companies. In this role, you will own the full sales cycle, working with organizations that are building and scaling AI-powered applications and data platforms.
You will partner with technical teams, product leaders, and business stakeholders to help them leverage Tavily’s AI-powered search and data capabilities. This role is ideal for someone who thrives in a fast-paced startup environment, enjoys building pipeline, and can drive deals from initial conversation through successful close.
As an early member of the go-to-market team, you will play an important role in helping refine our commercial sales motion and scaling our customer base.
What You'll Do
Own the full sales cycle from prospecting through close for commercial and mid-market accounts.
Identify and develop new opportunities through outbound outreach, inbound leads, and partnerships.
Build relationships with technical buyers, product leaders, and business decision-makers.
Lead discovery conversations and demonstrate how Tavily’s platform can solve customer problems.
Partner with Sales Engineering and Product teams to support technical evaluations and proof-of-concepts.
Manage pipeline, track opportunities, and maintain accurate forecasts in CRM.
Develop repeatable approaches for pipeline generation and deal execution.
Provide feedback from customers to help inform product development and go-to-market strategy.
What You Bring
3–7 years of B2B SaaS or technology sales experience, ideally selling to commercial or mid-market customers.
Proven ability to meet or exceed quota and manage a full sales cycle.
Strong prospecting and pipeline generation skills.
Experience selling into technical organizations or product-led companies.
Ability to clearly communicate the value of a technical product to both technical and business stakeholders.
Strong organizational, communication, and negotiation skills.
Self-starter mindset with the ability to operate in a high-growth startup environment.
Nice To Have
Experience selling AI, APIs, developer tools, or data infrastructure.
Familiarity with developer-led or product-led sales motions.
Experience working in early-stage or high-growth startups.
Knowledge of modern sales methodologies such as MEDDICC or MEDDPICC.
Comfort engaging with engineering teams, developers, and data platform leaders.
Perks & Benefits
Full-time employees at Tavily enjoy:
An open and inclusive culture where everyone has real impact from day one
Monthly Meals Card
401K
Full medical, dental, and vision insurance to keep you feeling your best
A deep-work culture that values curiosity, creativity, and continuous learning
About Tavily:
We're building the infrastructure layer for agentic web interaction at scale. Our API is designed from the ground up to power Retrieval-Augmented Generation (RAG) and real-time reasoning in AI systems. By connecting LLMs to high-quality, trustworthy web content, we help developers build agents that are not only intelligent — but also informed.
We work with some of the most innovative teams in AI — from small startups shaping the ecosystem to the largest enterprises deploying AI at scale. Whether it's powering sales assistants, research copilots, or internal knowledge tools, we're the missing link between LLMs and the real world.
The Role: Data Scientist:
We are hiring a Data Scientist to join our data team, which plays a central role in shaping cross-company decisions across GTM, Product, and Business functions.
Responsibilities:
Develop, implement, and maintain machine learning models on business-related data
Apply statistical methods to analyze large, complex datasets and extract actionable insights
Partner with stakeholders across Product, GTM, and Business teams to identify opportunities and solve high-impact problems
Support deployment, evaluation, and monitoring of models in production environments
Requirements:
3+ years of experience in Data Science
Strong statistical background
Solid understanding of classical machine learning models and algorithms
Experience working with business data (e.g., product, marketing, revenue, user behavior)
Proficiency in Python and SQL
Experience with modern AI coding tools (e.g., Claude Code, Cursor)
Experience working with Git
Tech stack:
Data warehouses and platforms such as Snowflake and/or Databricks – required
Experience working in modern data environments and pipelines
Education:
Bachelor’s degree in Statistics, Mathematics, Computer Science, or a related field – required
Master’s degree in a relevant field – preferred
Preferred qualifications:
Experience working in production environments
Strong problem-solving skills and ability to work in a cross-functional environment
This role is ideal for someone who wants to work at the intersection of data, product, and business, and have a direct impact on company-wide decisions.
We're building the infrastructure layer for agentic web interaction at scale. Our API is designed from the ground up to power Retrieval-Augmented Generation (RAG) and real-time reasoning in AI systems. By connecting LLMs to high-quality, trustworthy web content, we help developers build agents that are not only intelligent — but also informed.
We work with some of the most innovative teams in AI — from small startups shaping the ecosystem to the largest enterprises deploying AI at scale. Whether it's powering sales assistants, research copilots, or internal knowledge tools, we're the missing link between LLMs and the real world.
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
Debugging production issues across services
Managing cloud costs and capacity planning
Working closely with a small engineering team — you'd own infra, not a slice of it
~3+ years in a DevOps or platform engineering 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
Built or maintained observability stacks (logging, metrics, alerting)
Experience handling production incidents calmly and methodically
Multi-region deployments
Search infrastructure
Data pipeline experience (streaming, warehousing)
Proxy/networking infrastructure at scale
Full ownership — small team, you own the entire infrastructure, not a slice of it
Real scaling challenges — bursty scraping workloads, cache invalidation, multi-region, millions of daily requests
AI-native company — your infra directly powers AI agents used by leading companies in the space
NYC-based — working closely with engineering, short feedback loops
We're building the infrastructure layer for agentic web interaction at scale. Our API is designed from the ground up to power Retrieval-Augmented Generation (RAG) and real-time reasoning in AI systems. By connecting LLMs to high-quality, trustworthy web content, we help developers build agents that are not only intelligent — but also informed.
We work with some of the most innovative teams in AI — from small startups shaping the ecosystem to the largest enterprises deploying AI at scale. Whether it's powering sales assistants, research copilots, or internal knowledge tools, we're the missing link between LLMs and the real world.
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
Debugging production issues across services
Managing cloud costs and capacity planning
Working closely with a small engineering team — you'd own infra, not a slice of it
~3+ years in a DevOps or platform engineering 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
Built or maintained observability stacks (logging, metrics, alerting)
Experience handling production incidents calmly and methodically
Multi-region deployments
Search infrastructure
Data pipeline experience (streaming, warehousing)
Proxy/networking infrastructure at scale
Full ownership — small team, you own the entire infrastructure, not a slice of it
Real scaling challenges — bursty scraping workloads, cache invalidation, multi-region, millions of daily requests
AI-native company — your infra directly powers AI agents used by leading companies in the space
About Tavily:
We're building the infrastructure layer for agentic web interaction at scale. Our API is designed from the ground up to power Retrieval-Augmented Generation (RAG) and real-time reasoning in AI systems. By connecting LLMs to high-quality, trustworthy web content, we help developers build agents that are not only intelligent - but also informed.
We work with some of the most innovative teams in AI - from small startups shaping the ecosystem to the largest enterprises deploying AI at scale. Whether it’s powering sales assistants, research copilots, or internal knowledge tools, we’re the missing link between LLMs and the real world.
About the Role:
We are looking for an IT & Security Analyst to join our team. This role sits at the intersection of IT operations, information security, and governance — ideal for someone who enjoys variety and problem-solving. You'll manage our endpoint and SaaS environment, support security operations, and contribute to our compliance and risk management program.
Key Responsibilities:
IT Operations
Administer Microsoft Intune for endpoint management, device enrollment, and compliance policies.
Manage user access provisioning and deprovisioning following least-privilege principles.
Maintain the SaaS application inventory, including license management and access reviews.
Support onboarding and offboarding, including identity lifecycle management.
Information Security
Support the vulnerability management program — tracking, prioritizing, and coordinating remediation.
Monitor threat intelligence feeds and translate findings into actionable recommendations.
Assist with incident response and security tooling administration.
GRC
Support compliance initiatives aligned with frameworks such as SOC 2, ISO 27001, or NIST.
Assist with the third-party risk management program, including vendor assessments.
Complete security questionnaires from customers and partners.
Maintain security policies and support evidence collection for audits.
Required Qualifications:
2+ years in an IT, information security, or combined IT/security role.
Hands-on experience with Microsoft Intune and endpoint management.
Experience managing user access and permissions in a corporate environment.
Familiarity with SaaS platforms and IT asset management.
Exposure to vulnerability management tools and processes.
Understanding of threat intelligence concepts.
Familiarity with at least one compliance framework (SOC 2, ISO 27001, NIST, CIS, etc.).
Experience with security questionnaires and/or third-party risk assessments.
Strong written and verbal communication skills.
About Tavily
We're building the infrastructure layer for agentic web interaction at scale. Our API is designed from the ground up to power Retrieval-Augmented Generation (RAG) and real-time reasoning in AI systems. By connecting LLMs to high-quality, trustworthy web content, we help developers build agents that are not only intelligent — but also informed.
We work with some of the most innovative teams in AI — from small startups shaping the ecosystem to the largest enterprises deploying AI at scale. Whether it’s powering sales assistants, research copilots, or internal knowledge tools, we’re the missing link between LLMs and the real world.
The Role: Software Engineer
We're looking for a Software Engineer to join our core engineering team and help build the infrastructure behind one of the fastest-growing AI APIs. You'll work on systems that handle massive scale across a distributed microservices architecture running on AWS. You'll ship fast, take ownership of critical systems, and solve hard infrastructure problems as we grow.
This is a great role for an engineer who loves building ambitious systems from scratch, and wants to tackle the kind of scale and complexity challenges typically reserved for much larger companies.
What You’ll Do
Design and build high-performance distributed systems
Design and implement backend infrastructure and API endpoints
Build and optimize real-time data pipelines that process billions of events per day across distributed queues and stream processors
Improve performance, monitoring, and reliability across the stack
Own core systems and contribute to key architectural decisions
Help shape a strong engineering culture focused on velocity and quality
What You Bring
5 years of professional software engineering experience
Strong backend development skills
Proven experience designing and operating large-scale, distributed systems, with a solid understanding of API design, reliability, and performance at scale
Hands-on expertise with AWS infrastructure and cloud-native services, bringing practical knowledge of deploying and managing services in real-world environments
Comfortable in a fast-paced startup environment with lots of ownership
Strong sense of ownership and accountability over outcomes
Curiosity about LLMs, retrieval and the future of AI systems, with a drive to stay at the forefront of new technology
Based in Tel-Aviv or open to relocating
Nice To Have
Familiarity with DevOps practices, including CI/CD pipelines, infrastructure as code, Kubernetes orchestration, and modern monitoring tools
We are hiring a Data Analyst to join our data team, which drives cross-company insights and supports decision-making across GTM, Product, and Business functions.
Responsibilities:
Analyze and interpret data to support strategic and operational decisions
Build and maintain reports, dashboards, and visualizations used across the company
Work closely with stakeholders to understand business needs and translate them into data solutions
Ensure data quality, consistency, and reliability across systems
Requirements:
3+ years of experience as a Data Analyst
Strong analytical skills and attention to detail
Proficiency in Python and SQL
Experience working with large-scale data environments
Hands-on experience with Snowflake and/or Databricks – required
Familiarity with AI coding tools (e.g., Claude Code, Cursor)
Experience working with Git
Tech stack:
Snowflake / Databricks
Modern BI and data visualization tools
Experience working in scalable data infrastructure
Education:
Bachelor’s degree in Statistics, Mathematics, Computer Science, or a related field – required
Master’s degree in a relevant field – preferred
Preferred qualifications:
Experience working with large and complex datasets
Strong business understanding and ability to translate data into actionable insights
This role is suited for someone who wants to be at the core of how data informs decisions across the organization.
About Tavily
We’re building the search engine for AI agents. Our API is designed from the ground up to power RAG and real-time reasoning in AI systems. By connecting LLMs to high quality, trustworthy web content, we help developers build agents that are not only intelligent, but also informed.
We work with some of the most innovative teams in AI, from small startups shaping the ecosystem to the largest enterprises deploying AI at scale. Whether it’s powering sales assistants, research copilots, or internal knowledge tools, we’re the missing link between LLMs and the real world.
The Role
Job Title: Sales Development Representative
Location: Austin, Texas
Work Type: On-site
We’re hiring to expand on the immediate success and impact our founding SDR team has had. You will be the engine behind the engine, helping convert high-volume developer inbound into qualified opportunities and building an outbound motion to the teams creating cutting edge agents and AI products.
What You’ll Do
Promptly follow up with inbound and outbound prospects via email, LinkedIn, and calls to ensure no lead slips through the cracks.
Build a deep understanding of Tavily’s ICP: AI engineers, data science teams, and product leaders building agentic systems to identify where they need grounded, real-time search in their product
Qualify opportunities and book meetings for the Sales team, ensuring they are equipped with the correct information to win the deal.
Provide structured feedback on signals, workflows, and outputs to help us improve Tavily based on real-life testing.
What We’re Looking For
Recent graduate or early-career professional with a background in sales, analytics, data science, computer science, or a related technical field preferred.
You are in Austin and excited about an in-person office environment (think 4 days per week).
You're resilient, energized by building relationships, and genuinely excited to learn.
You’re genuinely curious about AI and enjoy learning what new products and teams are building, even if you’re not technical yourself.
Ability to balance high-volume outreach with thoughtful experimentation and feedback.
About Tavily
We’re building the search engine for AI agents. Our API is designed from the ground up to power RAG and real-time reasoning in AI systems. By connecting LLMs to high quality, trustworthy web content, we help developers build agents that are not only intelligent, but also informed.
We work with some of the most innovative teams in AI, from small startups shaping the ecosystem to the largest enterprises deploying AI at scale. Whether it’s powering sales assistants, research copilots, or internal knowledge tools, we’re the missing link between LLMs and the real world.
The Role
Job Title: Sales Development Representative (German or French-speaking)
Location: London, United Kingdom
Work Type: On-site
We’re hiring to expand on the immediate success and impact our founding SDR team has had in the US. You will be the engine behind the engine, helping convert high-volume developer inbound into qualified opportunities and building an outbound motion to the teams creating cutting edge agents and AI products.
As a founding member of our EMEA team, you’ll play a key role in building Tavily’s presence across Europe from the ground up. You’ll work directly with our US-based team and have real ownership in helping shape how we grow across the region.
What You’ll Do
Promptly follow up with inbound and outbound prospects via email, LinkedIn, and calls to ensure no lead slips through the cracks.
Build a deep understanding of Tavily’s ICP: AI engineers, data science teams, and product leaders building agentic systems to identify where they need grounded, real-time search in their product
Qualify opportunities and book meetings for the Sales team, ensuring they are equiped with the correct information to win the deal.
Provide structured feedback on signals, workflows, and outputs to help us improve Tavily based on real-life testing.
What We’re Looking For
Recent graduate or early-career professional with a background in sales, analytics, data science, computer science, or a related technical field preferred.
You are based in London and excited about an in-person office environment (think 4 days per week).
Professional fluency in either German or French is required.
You're resilient, energized by building relationships, and genuinely excited to learn.
You’re genuinely curious about AI and enjoy learning what new products and teams are building, even if you’re not technical yourself.
Ability to balance high-volume outreach with thoughtful experimentation and feedback.
About Tavily:
We're building the infrastructure layer for agentic web interaction at scale. Our API is designed from the ground up to power Retrieval-Augmented Generation (RAG) and real-time reasoning in AI systems. By connecting LLMs to high-quality, trustworthy web content, we help developers build agents that are not only intelligent - but also informed.
We work with some of the most innovative teams in AI - from small startups shaping the ecosystem to the largest enterprises deploying AI at scale. Whether it’s powering sales assistants, research copilots, or internal knowledge tools, we’re the missing link between LLMs and the real world.
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The Role:
We are looking for a Senior Product Manager to join our Agentic Search team, building the search and retrieval infrastructure that powers AI agents and LLM-based applications at scale.
This is a hands-on IC role with real ownership. You will take full end-to-end responsibility over a core product area, from defining strategy through shipping and iterating based on real usage data. You will work within a small PM team reporting to the Director of Product, alongside engineering, design, and go-to-market, shaping how AI agents discover, retrieve, and act on web information in real time.
The product serves both a developer-facing PLG motion and a growing enterprise customer base, so you will need to be equally comfortable digging into API design and search quality as you are running customer discovery calls and informing competitive positioning. We are looking for someone who can operate as a senior strategic partner, not just an executor, and who has the potential to grow into a principal-level PM over time.
You’re welcome to work hybrid from Tel Aviv, Israel.
Your responsibilities will include:
Own a core product area end-to-end: strategy, roadmap, execution, and iteration based on real usage signals and customer feedback.
Drive search quality and relevance improvements by working closely with engineering and research to define evaluation frameworks, benchmarks, and release criteria.
Engage directly with enterprise customers and developer users to validate ideas, understand pain points, and shape product-market fit across both PLG and enterprise motions.
Monitor the competitive landscape in agentic search and AI-powered retrieval, identifying shifts, threats, and opportunities that should inform product decisions.
Collaborate with go-to-market teams (sales, solutions, growth) to ensure product positioning, ICP definitions, and enablement materials reflect product reality.
Contribute to product strategy as a senior voice on a small, high-impact team, challenging assumptions and bringing independent judgment to key decisions.
Lead product experiments and rapid iteration cycles, moving from hypothesis to prototype to production with clear success criteria.
We expect you to have:
5+ years of product management experience, with a meaningful portion in developer tools, API platforms, or search and retrieval infrastructure.
Track record of shipping products in fast-moving markets, working closely with engineering and design from concept through launch and iteration.
Strong understanding of LLMs, AI agents, and how search and retrieval systems fit into agentic workflows. Hands-on technical background is a strong plus.
Degree in computer science, engineering, or a related field, with the ability to engage deeply with technical architecture and tradeoffs.
Comfortable operating in ambiguity: you can context-switch between strategic thinking and tactical execution without losing the thread.
Proven ability to influence cross-functional stakeholders and drive alignment without formal authority.
Excellent written and verbal communication: you can explain technical concepts clearly to both engineers and business stakeholders.
It will be an added bonus if you have:
Experience in search, information retrieval, NLP, or adjacent domains.
Background in API-first or developer-platform businesses with both PLG and enterprise motions.
Leadership experience in a high-growth technology company, especially post-acquisition or startup-within-a-larger-org environments.
People management or mentoring experience (building the skills of other PMs).
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and work-life balance
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Tavily/Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI.
","descriptionPlain":"About Tavily:\n\nWe're building the infrastructure layer for agentic web interaction at scale. Our API is designed from the ground up to power Retrieval-Augmented Generation (RAG) and real-time reasoning in AI systems. By connecting LLMs to high-quality, trustworthy web content, we help developers build agents that are not only intelligent - but also informed.\n\nWe work with some of the most innovative teams in AI - from small startups shaping the ecosystem to the largest enterprises deploying AI at scale. Whether it’s powering sales assistants, research copilots, or internal knowledge tools, we’re the missing link between LLMs and the real world.\n\n \n\nAbout Nebius:\n\nNebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.\n\nBuilt by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.\n\nListed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.\n\n \n\nThe Role:\n\nWe are looking for a Senior Product Manager to join our Agentic Search team, building the search and retrieval infrastructure that powers AI agents and LLM-based applications at scale.\n\nThis is a hands-on IC role with real ownership. You will take full end-to-end responsibility over a core product area, from defining strategy through shipping and iterating based on real usage data. You will work within a small PM team reporting to the Director of Product, alongside engineering, design, and go-to-market, shaping how AI agents discover, retrieve, and act on web information in real time.\n\nThe product serves both a developer-facing PLG motion and a growing enterprise customer base, so you will need to be equally comfortable digging into API design and search quality as you are running customer discovery calls and informing competitive positioning. We are looking for someone who can operate as a senior strategic partner, not just an executor, and who has the potential to grow into a principal-level PM over time.\n\nYou’re welcome to work hybrid from Tel Aviv, Israel.\n\n \n\nYour responsibilities will include:\n\n - Own a core product area end-to-end: strategy, roadmap, execution, and iteration based on real usage signals and customer feedback.\n\n - Drive search quality and relevance improvements by working closely with engineering and research to define evaluation frameworks, benchmarks, and release criteria.\n\n - Engage directly with enterprise customers and developer users to validate ideas, understand pain points, and shape product-market fit across both PLG and enterprise motions.\n\n - Monitor the competitive landscape in agentic search and AI-powered retrieval, identifying shifts, threats, and opportunities that should inform product decisions.\n\n - Collaborate with go-to-market teams (sales, solutions, growth) to ensure product positioning, ICP definitions, and enablement materials reflect product reality.\n\n - Contribute to product strategy as a senior voice on a small, high-impact team, challenging assumptions and bringing independent judgment to key decisions.\n\n - Lead product experiments and rapid iteration cycles, moving from hypothesis to prototype to production with clear success criteria.\n\n \n\nWe expect you to have:\n\n - 5+ years of product management experience, with a meaningful portion in developer tools, API platforms, or search and retrieval infrastructure.\n\n - Track record of shipping products in fast-moving markets, working closely with engineering and design from concept through launch and iteration.\n\n - Strong understanding of LLMs, AI agents, and how search and retrieval systems fit into agentic workflows. Hands-on technical background is a strong plus.\n\n - Degree in computer science, engineering, or a related field, with the ability to engage deeply with technical architecture and tradeoffs.\n\n - Comfortable operating in ambiguity: you can context-switch between strategic thinking and tactical execution without losing the thread.\n\n - Proven ability to influence cross-functional stakeholders and drive alignment without formal authority.\n\n - Excellent written and verbal communication: you can explain technical concepts clearly to both engineers and business stakeholders.\n\n \n\nIt will be an added bonus if you have:\n\n - Experience in search, information retrieval, NLP, or adjacent domains.\n\n - Background in API-first or developer-platform businesses with both PLG and enterprise motions.\n\n - Leadership experience in a high-growth technology company, especially post-acquisition or startup-within-a-larger-org environments.\n\n - People management or mentoring experience (building the skills of other PMs).\n\n \n\nBenefits & Perks:\n\n - Competitive compensation\n\n - Career growth and learning opportunities\n\n - Flexibility and work-life balance\n\n - Collaborative and innovative culture\n\n - Opportunity to work on impactful AI projects\n\n - International environment and talented teams\n\n \n\nWhat's it like to work at Tavily/Nebius:\n\nFast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI.","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"34d7c499-fbed-462d-a6ec-8192b0a3c95a","title":"Sr. Manager, GTM Enablement ","department":"GTM","team":"Sales","employmentType":"FullTime","location":"Austin, Texas","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2026-05-21T17:29:40.947+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"addressRegion":"Texas","addressCountry":"United States","addressLocality":"Austin"}},"jobUrl":"https://jobs.ashbyhq.com/tavily/34d7c499-fbed-462d-a6ec-8192b0a3c95a","applyUrl":"https://jobs.ashbyhq.com/tavily/34d7c499-fbed-462d-a6ec-8192b0a3c95a/application","descriptionHtml":"About Tavily
We’re building the search engine for AI agents. Our API is designed from the ground up to power RAG and real-time reasoning in AI systems. By connecting LLMs to high-quality, trustworthy web content, we help developers build agents that are not only intelligent, but also informed.
We work with some of the most innovative teams in AI, from fast-growing startups shaping the ecosystem to the largest enterprises deploying AI at scale. Whether it’s powering sales assistants, research copilots, or internal knowledge tools, we’re the missing link between LLMs and the real world.
The Role
Job Title: Sr. Manager, GTM Enablement
Location: Remote / Austin, Texas
Work Type: Remote / Hybrid in Austin Preferred
Tavily is hiring a foundational GTM Enablement Lead to help scale our go-to-market team. You’ll own onboarding, sales process reinforcement, product enablement, and programs that improve rep productivity and ramp time.
You’ll work with Sales, Product, Marketing, and RevOps to help reps sell Tavily clearly and consistently in technical AI sales cycles.
What you'll do
Build and manage Tavily’s GTM enablement function
Create onboarding programs for new GTM hires
Train reps on discovery, qualification, value selling, and enterprise sales execution
Reinforce sales process, qualification standards, and messaging consistency
Lead product, launch, and competitive enablement
Create and maintain playbooks, battlecards, messaging docs, and training materials
Identify gaps in rep productivity and build programs to address them
Partner with Sales, Product, Marketing, and RevOps on GTM readiness
What We’re Looking For
5+ years in Sales Enablement, Enterprise SaaS Sales, Product Marketing, or a related GTM role
Experience with technical or complex SaaS products
Experience building onboarding or enablement programs from 0 to 1
Strong understanding of discovery, qualification, value selling, and enterprise sales execution
Familiarity with MEDDPICC, Force Management, Command of the Message, or similar methodologies
Ability to translate technical product capabilities into business value
Comfortable working in a fast-moving startup