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We're looking for a hands-on Engineering Manager to lead a team of senior engineers owning this space end-to-end, from integration design through production ownership. You'll have real autonomy, a direct line from your team's work to customer outcomes, and room to shape how a technically deep domain is built and run.
What you'll own:
Lead and grow a team of engineers, creating clarity on priorities, raising the technical bar, and building real domain ownership
Own execution end-to-end: integration architecture, technical design, delivery predictability, and the operational health of systems that sync critical financial data at scale
Drive reliability and data correctness, strong debugging and sound judgment around sync semantics, idempotency, error handling, and recovery, plus calm decision-making when something breaks in production
Make sure your engineers understand the business and the ERPs behind the systems, the financial flows and edge cases, not just the code
Translate business goals and the realities of messy, heterogeneous ERP systems into pragmatic technical plans
Partner closely with Product, Operations, Support, and other engineering teams to deliver integrations that balance customer impact, time-to-value, and quality
Coach engineers through feedback, mentoring, and high standards

we are looking for a Senior Site Reliability Engineer (DevTools)
Your responsibilities will include:

Improving services based on user feedback

Building fault-tolerant, self-healing architecture

Finding ways to speed up our systems and reduce user friction

Modifying well-known closed- and open-source solutions Supporting our users

Ensure fault-tolerance, scale, and uninterrupted operations for the service.
Use cutting-edge cloud technology to solve a variety of infrastructure problems.
Implement and improve CI/CD processes.

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 Youll 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

As a Software Engineer - Scraping Specialist, youll build the systems that power how AI interacts with the live web. Youll 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. Youll 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 ability to provide AI agents with accurate, real-time knowledge of the world , bridging the gap between the open web and intelligent reasoning.

What Youll 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 capabilities in resilience, speed, and authenticity of web interaction

Were looking for a Backend Engineer to contribute to the development of our hyperscaler platform.

Your responsibilities will include:

Develop fault-tolerant, reliable cloud services: cloud infrastructure, managed databases, managed Kubernetes, billing, monitoring systems, ML service and more.

This role will require expertise in distributed systems to build large-scale LLM training platform.

Your responsibilities will include:

Designing and developing LLM training platform.
Maintaining our ML infrastructure, ensuring optimal performance, scalability and reliability.
Improving job scheduling strategies to minimize resource fragmentation.

We're hiring a Technical Support Engineer to provide excellent customer support for highly technical users, from AI engineers to infrastructure architects. You'll be monitoring incoming tickets, fielding requests, helping teams debug production LLM applications and agents, and ensuring critical issues get resolved quickly. You'll be a key part of delivering world-class technical support for modern AI platforms.

Your responsibilities will include:

Monitor incoming support tickets and provide timely responses to technical support inquiries-diagnosing issues across customer setup, Tavily products, and deployment issues
Escalate queries to Engineering and Customer Success if required depending on scope and impact
Field requests as part of our follow-the-sun support coverage to ensure customers get help when they need it
Collaborate with engineering, operations, documentation, and product teams to escalate and resolve bugs, and communicate customer needs
Use and help improve internal tooling, diagnostics, and runbooks for issue triage
Participate in post-mortems for critical incidents and help document learnings
Track KPIs for support health (CSAT, bug recurrence) and contribute to continuous improvement efforts
Help improve documentation and knowledge articles to enhance self-service resources

Were looking for a Technical Program Manager who thrives in the middle of the action - someone who gets energized by complexity and turns it into clarity.
In this role, youll take complex, cross-functional engineering projects from messy beginnings to clean finishes, and drive every stage: scoping, planning, execution, delivery, and retrospective. You see AI not as a shortcut, but as a core part of how great program management gets done, and you actively design your workflows around it.
This is an AI-native environment - models ship fast, priorities shift, and what's possible changes week to week. You'll thrive here if ambiguity is fuel, not friction.
In this role, you will be responsible for:
Drive end-to-end ownership of complex, cross-functional engineering projects - from the first brainstorming session to post-launch retro
Design and supervise agentic workflows that automate status collection, risk surfacing, dependency tracking, and comms - so you operate at a higher level, not just faster
Build and manage AI-assisted program workflows that reduce coordination overhead and improve program visibility at scale
Spot bottlenecks before they become fires, and personally drive them to resolution
Map and manage cross-team dependencies so nothing blindsides anyone
Build and track key metrics that give real visibility into how engineering is performing
Apply sound judgment on escalations, stakeholder reads, and cross-team trust - the things AI surfaces but cant resolve
Identify opportunities for collaboration and innovation across teams - connecting dots others miss
Constantly communicate progress and status to stakeholders and management

We're looking for an AI Solutions Engineer to join our Transformation & Business Systems team. This role is built for someone fluent in AI-native building: you know how to vibe code a working tool end-to-end, you're hands-on with at least one automation platform, and you understand how LLMs, agents, and workflows actually fit together. You'll work directly with stakeholders across Finance, HR, Sales, Support, and IT to map manual processes and turn them into automated, AI-powered systems.

What Youll Be Doing:
Map manual, repetitive business processes end-to-end across the company - Finance, HR, Operations, Marketing, and the revenue funnel - and identify high-impact automation opportunities.
Own automation delivery from idea to production: translate requirements from non-technical stakeholders and design, build, test, and ship working solutions.
Build automated workflows using platforms like n8n, Zapier, Make, Tray.io, or Workato.
Design, build, and deploy AI agents that plug into real business workflows - embedding LLM APIs for use cases like ticket classification, document data extraction, and automated summarization, and applying RAG and memory patterns so they can reason over company knowledge.
Vibe code complete internal tools end-to-end using AI coding assistants - from rapid prototype (POC) validated with business users to something people actually use in production.
Connect internal systems (CRM, ERP, ticketing, Google Workspace/Microsoft 365) via APIs and webhooks, including AI-powered workflows for Marketing and Revenue teams - lead enrichment, campaign reporting automation, and pipeline data hygiene.
Monitor, maintain, and continuously improve existing automations - documenting processes and training internal process owners along the way.

We're hiring a Technical Enablement Specialist to own the rollout and adoption of AI and engineering, product and design enablement across our Product-Technology org. This is a sole-function, high-impact role - you will be the person who takes approved strategy and turns it into real execution, visible adoption, and measurable outcomes. This role reports directly to the Director of Product-Engineering Operations.
If you are a get-it-done person who loves working with people, knows how to drive change without heavy process, and is excited about where AI is taking software development - this role was written for you.
About the Role:
Lead AI adoption across Product-Technology - own the rollout of AI tools, agents, and AI-first practices; identify blockers and drive follow-up actions to move toward higher AI-generated code
Drive Agentic SDLC adoption - translate approved solutions and guidelines from Leadership into practical, consistent rollouts, including the POC framework and experimentation guidelines
Build scalable enablement programs - use AI to design and produce learning assets, workshops, and self-serve resources that keep pace with a fast-moving engineering org
Own knowledge management - maintain Confluence as the single source of truth for AI and engineering enablement; close content gaps with documentation, playbooks, and best practices
Foster a culture of continuous learning - coordinate the Engineering Forum, Engineering Guild, Product Guild, and AI community channels; identify opportunities for growth and keep the org current on AI tooling and industry trends
Partner with leadership and measure impact - collaborate with Product-Technology leadership to anticipate needs, define success metrics, and continuously improve programs based on data and feedback