דרושים » תוכנה » Senior Team Lead - Data Pipelines & Agentic Web Extraction

We're building one of the most agentic, fast-moving AI products in the web search category - and we need a leader who can own it end to end. This is a cross-functional group leader role sitting at the intersection of AI product leadership and high-scale AI infrastructure: you'll lead the team building our agentic search product, and own the data infrastructure that indexes and caches the web at scale.

What Youll be Doing:
Set technical and product direction for an agentic web search AI system, from research and benchmarking through production and scale.
Bring deep, hands-on expertise in LLMs, agentic architectures, evaluation/benchmarking, and modern AI/LLMOps practices; make build-vs-buy and architecture calls with authority, not just strategy.
Lead and develop small group of two teams with top notch engineers, providing technical leadership, growing engineering managers, and driving execution across both product and infrastructure.
Drive the product to a category-winning position within an aggressive timeline.
Own the infrastructure supporting an API surface currently serving millions of calls/month, with a mandate to lead its growth to billions/month.
Bring proven, hands-on experience scaling high-throughput, high-availability infrastructure - not just AI-adjacent platform experience - including reliability, cost, and performance at that scale.
Own the data infrastructure needed to run the product, including large-scale data pipelines, storage, and operations.
Lead a worldwide web caching and indexing operation at high scale, ensuring freshness, coverage, and cost-efficiency of the index.

We need a Director to set the strategy for everything underneath it - cloud, security, and the delivery lifecycle - and to bring AI into how that infrastructure is run.

This is a director-level leadership role, not an IC stretch assignment. You will lead our DevOps organization - which already has a team leader running day-to-day delivery - and operate one level up: setting direction, owning the roadmap, making architecture and build-vs-buy calls with authority, and representing infrastructure at the leadership table. Close enough to the work to guide it in depth, senior enough to own it end to end.

What Youll be Doing:
Own cloud infrastructure and security as one strategy: architecture, scale, and the path to our next order of magnitude of growth, with our security and compliance posture (IAM, secrets, hardened baselines, SOC 2 / ISO 27001 audit readiness) built in from the start, not bolted on.
Own the SDLC end to end, and drive AI into every stage of it: measure delivery performance (lead time, deployment frequency, change failure rate) and use AI to improve each stage of the lifecycle - planning, code review, testing, release, and operations - alongside AIOps practices like automated/self-healing recovery and intelligent alerting.
Own FinOps as a strategic discipline: the cloud bill is a P&L line you're accountable for, with unit economics driven down every quarter.
Own vendor and contractual relationships across cloud, tooling, and infrastructure services - negotiating leverage, not just approving invoices.
Lead the DevOps organization through its team leader: set technical direction and standards, develop the team leader into a stronger manager, and grow the bench beneath them.
Partner as a peer with Backend, Infra, AI, Data, Product, Security and Finance leadership - infrastructure decisions get made with you in the room, not after.

‍Were looking for a hands-on Engineering lead to lead our companys growing engineering team. This role combines technical leadership with people management: youll lead a team of engineers both inhouse and offshore, and work closely with the CTO and VP Product leading the company through a transformational phase of significant growth, to deliver a reliable, scalable, and cost-efficient companys Customer Intelligence & Decisioning Platform.
This role is a leadership hands on role: youll get your hands dirty writing code, review and design, and at the same time act as a leader who set standards, processes, coach engineers, and ensure smooth collaboration across the entire team.
Key Responsibilities
Team Leadership & Growth
Manage and mentor the company engineering team.
Create a culture of ownership, collaboration, and accountability. Maintain high standards of work methodologies and delivery.
Establish effective communication and delivery rhythms across our cross functional teams
Hands-On Technical Leadership
Lead & contribute to design, coding, and reviews of the platform, backend , data and MLE functions.
Guide architectural decisions, ensuring scalability, reliability, and cost efficiency, while supporting significant customer growth.
Ensure high-quality engineering standards, CI/CD practices, and observability.
Own Production End-to-End: Delivery & Execution
Own engineering delivery timelines and release cadence.
Coordinate between core and offshore engineers to ensure a unified execution pipeline.
Balance short-term feature delivery with long-term technical health.
Define SLO, build observability, lead on-call, incident response, and postmortems
Collaboration
Work closely with the CTO and VP Product on architecture, integrations, and security.
Work with the CEO to ensure that delivery is aligned with the companys mid-long term vision.
Partner with Product on roadmap prioritization and execution.
Ensure smooth onboarding and ongoing collaboration with customer-facing teams.

Were looking for driven and talented people like you to join our Engineering team and our mission to change the future of cloud security. Ready to dive in and swim with our pod?

As a Team Manager on the Orchestrator team, youll lead one of our most strategic engineering teams, responsible for the scan pipeline end to end, from trigger to published results. The orchestration layer this team owns sits on the critical path of the entire product, and every scan our runs goes through it.

The platform is large-scale, distributed and always on, running across all of our production sites worldwide, including regulated and customer-hosted environments. It is a demanding distributed-systems domain, where throughput, resilience and cloud efficiency are permanent engineering concerns rather than one-off projects.

Youll lead a team of talented senior engineers, providing both technical and people leadership while staying hands-on in design and implementation. Youll drive key architectural decisions, lead the platforms move to its next-generation architecture, and evolve it for higher scale, stronger resilience and deeper visibility into every job in flight.

Were looking for an experienced Team Leader who wants to make a foundational impact on the engine that powers our cloud security platform.

Our Stack: Python, AWS, Kafka, Redis, SQS, Postgres, Kubernetes. Our scanning surface extends across Azure, GCP, OCI and Alibaba Cloud and others.

What Youll Do:
Lead, mentor and develop a team of senior software engineers through one-on-ones, feedback and technical guidance.
Own and drive the delivery of high-impact projects end to end, from design through deployment and production monitoring.
Design and review architecture for large-scale distributed systems, with a focus on scalability, resilience and efficiency.
Drive the platforms scalability and cost efficiency as scan volumes grow.
Collaborate cross-functionally with Product, SRE and other R&D teams to define priorities, interfaces and success metrics.
Ensure the reliability, scalability and observability of core services, introducing SLOs and best practices for operations.
Uphold the teams engineering standards for code quality, safe rollout of changes and long-term maintainability.
Write and review clean, maintainable and tested code.

We are seeking a Head of Research to build and lead our research group reporting to the Co-founder and CTO. You'll set the research agenda for how AI agents, spanning coding agents, SaaS AI platforms, cloud, and endpoints, can be abused, and you'll turn that research into the detections and runtime protections that define our product. You'll build the team, the threat intelligence function, and the processes that keep us ahead of a threat landscape that changes weekly. This is a hands-on leadership role. You'll still go deep on platforms and attack paths while scaling research into a core differentiator of the company. You will help define the field of Agentic Security and be one of its leading voices.

Responsibilities

Lead and grow the research team: Hire, mentor, and manage AI security researchers. Build a culture of rigor, speed, and ownership.

Own the research direction: Proactively identify emerging agentic threats and platforms, prioritize research projects, and set a roadmap aligned with product and customer needs.

Build threat intelligence processes: Establish how we collects, triages, and operationalizes threat intelligence on agentic attacks. This includes in-the-wild abuse, malicious MCP servers, skills and extensions, and new techniques from the research community.

Drive research into product: Partner closely with engineering and product so findings become production detections, runtime policies, and governance capabilities. Own the coverage and quality of our detection logic.

Define detection strategy: Set standards for detection logic across environments, including coverage models, efficacy measurement, and false positive and false negative management at enterprise scale.

Stay hands-on: Lead deep dives into platform architectures, monitoring and enforcement boundaries, and end-to-end PoCs for the most critical attack paths.

Represent us externally: Publish research, advisories, and vulnerability disclosures. Speak at leading security conferences and build our reputation as the authority on agentic security.

Support customers and the field: Provide research expertise for customer engagements, incident investigations, and strategic accounts.

Were looking for a Hands-on AI & Data Engineering Manager to lead a team building intelligent, large-scale consumer experiences powered by AI. In this role, you will lead engineers developing AI-driven products, work closely with data scientists, product managers, and designers, and ensure that AI capabilities-from LLMs and agents to product data insights-are translated into reliable, scalable production systems. You will be responsible not only for delivering AI features, but also for analyzing product data and user behavior to continuously improve AI performance and product outcomes. This is a technical leadership role combining engineering management, architecture ownership, AI product development, and data-driven decision making.

Key responsibilities

Lead a team of data scientists, data engineers and product analysts.

Own the delivery of AI-powered product capabilities, from research and experimentation to production and operation.

Drive excellence, code quality, and best development practices.

Provide technical direction and hands-on guidance for complex AI systems.

Drive the integration of LLMs, AI agents, and intelligent workflows into core consumer experiences.

Ensure AI solutions are safe, scalable, observable, and continuously improving.

Lead initiatives around product data analysis and experimentation.

Analyze user interactions with product features to improve accuracy, UX, and business impact.

Partner with product teams to define metrics, dashboards, and experiments that guide product improvements.

Design system architectures for AI-enabled applications at scale.

Evaluate and select technologies for AI platforms and data pipelines.

Guide the development of prompt engineering frameworks and centralized prompt management.

Ensure robust monitoring, evaluation, and feedback loops for AI outputs.

Translate product and business goals into technical roadmaps and execution plans.

Drive alignment between AI capabilities and measurable product outcomes.

we are looking for a R&D Director.
As an R&D Director at Vetric, youll lead multiple engineering teams and their leaders, owning the technical direction, execution, and organizational development of a critical area within our R&D organization.
Youll be responsible for translating company priorities into an effective engineering strategy, building strong teams and leaders, and ensuring we deliver scalable, reliable systems at high velocity.
Youll work closely with R&D leadership and cross-functional stakeholders to shape priorities, drive execution across teams, and continuously improve our engineering organization, architecture, and production excellence.
Responsibilities:
Lead and scale engineering teams and leaders, developing strong Team Leads and engineers while building a culture of ownership, accountability, collaboration, and continuous growth.
Own the engineering strategy and technical direction for your domain, translating business and product priorities into clear technical priorities, architecture decisions, and execution plans.
Drive execution across multiple teams, ensuring effective prioritization, alignment, and delivery of complex initiatives while managing dependencies and removing organizational and technical blockers.
Own production excellence and system reliability, driving high standards around scalability, performance, observability, incident management, and continuous improvement of our production environment.
Drive engineering excellence across the group, establishing and continuously improving standards and practices around architecture, development processes, code quality, and operational readiness.
Own organizational and capacity planning for the group, including team structure, hiring, resource allocation, and developing future technical and managerial leaders.
Partner with stakeholders across the company, including Product, Customer Success, and company leadership, to ensure engineering priorities are aligned with customer needs and broader business objectives.
Drive measurable impact, using data and engineering metrics to evaluate priorities, improve execution, and ensure resources are focused on the areas that create the greatest impact.

We are looking for an MLOps Team Leadto drive the development of an internal machine learning platform for a group of ML teams. This is a hands-on leadership role: you will guide a small team of MLOps engineers that builds the automation and infrastructure powering our research (R&D) workflows and runs our pipelines to production. You will take ownership of end-to-end initiatives and drive the team toward critical infrastructure and model-lifecycle milestones, while staying close enough to the code to set technical direction and raise the bar by example.

You will be responsible for building and maintaining the models and data pipelines behind our data science workflows, ensuring the accuracy, consistency, and efficiency of the data used for training and inference, working across structured and unstructured data from many sources on a large-scale, distributed platform.

Responsibilities:

Lead, mentor, and grow a team of MLOps engineers, owning delivery and technical quality.
Take end-to-end ownership of infrastructure and pipeline initiatives across the LMM group, from design through production.
Stay hands-on: contribute to design and code, review work, and set engineering standards.
Drive the team through critical milestones in ML model-lifecycle and infrastructure ownership.
Partner with R&D and other stakeholders to translate research needs into robust, scalable systems.
Help evolve the platform, including our ongoing migration from Dask to Ray.

We are looking for a strong technical leader to lead one of our product-focused R&D teams.
This team owns meaningful product capabilities used across the platform and works closely with Product, Design, and other engineering teams. The role combines people management, technical leadership, and strong product thinking - from understanding customer needs and shaping solutions to delivering high-quality features in production.
You will lead a team of experienced engineers, develop their skills, set clear priorities, and create an environment of ownership, collaboration, and continuous improvement. At the same time, youll stay close to the technology, lead design decisions, and step into the code when needed.
What Will You Do?
Lead, mentor, and develop a team of engineers.
Own the teams execution, priorities, and long-term direction.
Work closely with Product and Design to turn customer needs into simple, scalable solutions.
Lead features and projects from early definition and design through production.
Drive technical design and architecture decisions while balancing product needs, quality, and delivery.
Stay close to the technology through design discussions, code reviews, debugging, and hands-on contribution when needed.
Build strong collaboration with other teams and lead cross-team initiatives.
Create clear processes and ownership as the team and its scope continue to grow.
Take part in hiring and help shape the teams professional standards and culture.
Use modern AI tools such as Cursor and Claude Code as part of the development workflow while maintaining high-quality engineering standards.

Were looking for an Engineering Team Lead, who will be responsible for the foundational infrastructure framework used by all our engineering teams to build, deploy, and operate AI agents safely in production. We are building the "operating system" for AI, covering agent sessions, memory management, tool orchestration, durable execution, and multi-tenant isolation. You will lead a high-impact team of 5 engineers to create the runtime and platform that defines the future of autonomous enterprise intelligence.
Youll Own:
Agentic Framework Architecture: Designing and building our internal agentic framework, leveraging and integrating industry-standard tools such as LangChain, LangSmith, ADK, and similar ecosystems.
Evaluation and Quality Systems: Building evaluation frameworks and workflows for AI agents, including offline and online evaluations, quality metrics, regression detection, and experimentation infrastructure.
Team Leadership & Mentorship: Leading a squad of 3-4 senior engineers, fostering a culture of technical excellence, and managing end-to-end delivery in a fast-paced environment. You will spend approximately 50% of your time hands-on, architecting core systems and reviewing code, and 50% leading the team, mentoring engineers, and aligning with cross-functional stakeholders.
Observability, Monitoring, and Guardrails: Providing the organization with robust observability capabilities for AI agents, including tracing, logging, monitoring, cost tracking, and safety guardrails to ensure reliable and responsible usage.
Developer Enablement Platforms: Creating APIs, SDKs, and abstractions that enable product teams to easily build, test, and operate agents while adhering to platform standards.
Cross-Language Integrations: Designing integrations and tooling across Python and Java to enable seamless adoption of the AI framework within our broader backend ecosystem.
Youll Solve:
Agent Lifecycle and Orchestration Complexity: Managing agent execution, tool usage, memory, workflows, and failure modes in production-grade systems.
AI System Reliability at Scale: Ensuring agents remain observable, debuggable, and safe as usage scales across teams and products.
Evaluation and Drift Challenges: Detecting quality regressions, model behavior changes, and unintended agent behaviors through robust evaluation and monitoring systems.
Platform Adoption Friction: Balancing flexibility with guardrails so teams can innovate quickly without compromising reliability, security, or cost controls.
Youll Impact:
Company-Wide AI Enablement: Empowering every engineering team to build agent-based solutions faster, with higher quality and confidence.
Foundational AI Infrastructure: Establishing the core frameworks, evaluations, and observability standards that all AI agents will rely on.
AI Safety and Quality Bar: Raising the bar for how AI systems are evaluated, monitored, and governed across the company.