דרושים » אינטרנט ודיגיטל » director of business technology & ai ops

A security company, is building an internal AI capability across the organization: agents that perform real tasks as the organization, with ROI and security assessed at every step. We are looking for a senior engineer who owns this end to end - a hands-on builder who also carries the senior function: setting the technical strategy, making the architecture calls, and being the person leadership trusts on internal AI.
This is not a pure IC build role and not a pure strategy role. You will personally build the flagship systems - production agents, the context layer, the evaluation and safety stack - while also deciding what gets built, in what order, and to what standard. You will work across R&D, IT, Security, BizOps, Customer, Sales, Marketing, People, and Finance, with the AI Transformation Officer owning the business portfolio.
What you'll do - strategy and senior function:
Own the technical strategy for our internal AI transformation: target architecture, model and vendor choices, build-vs-buy calls.
Shape the AI portfolio: which workflows to automate, in what sequence, with what success metrics - and push back when the wrong thing is being built.
Set and enforce the bar on ROI and security for every AI system: cost, adoption, cycle-time impact, access control, and auditability are reviewed per project, not after launch.
Act as the senior technical voice for internal AI: advise leadership, review AI initiatives across the org.
Turn one-off builds into a real internal platform: reusable patterns, shared services, and standards that AI Champions and teams adopt.
Mentor AI Champions; raise the org's practical AI level.
Manage our AI- Champions Community.
Continuously evaluate models, vendors, and frameworks, and keep us agile.
What you'll do - hands-on build:
Personally design, build, deploy, and own the flagship internal agents and AI workflows, from prototype through production.
Build and evolve our AI context layer: connectors, APIs, retrieval services, metadata, identity and authorization, controls, and tool interfaces.
Create safe action tools for agents and infrastructure for agents to work.
Build RAG, tool-calling, structured-output, and multi-step agentic workflows using the right model and architecture for each problem.
Own the production quality bar for what you ship: evaluation datasets and automated checks (accuracy, groundedness, task completion, safety, cost etc.)
Work directly with business owners to map processes, test with users, and drive each pilot to a clear scale-or-stop decision.

What You'll Be Doing
Join our Business Operations team and build the systems and automations that help us operate and grow.
Turn business processes into working solutions across Salesforce and our wider technology stack.
Build and maintain Salesforce workflows, integrations, and automations.
Connect tools such as Gong, Apollo, n8n, Jira, Slack, and AI platforms so information moves reliably between systems and teams.
Build practical AI solutions using Claude and other LLM tools to improve how teams work.
Partner with GTM, Product, R&D, and other teams to understand their needs and implement solutions.
Improve data quality, build reports and dashboards, and document the systems and processes you create.
Take ownership of projects that directly affect how the company operates and scales.

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're looking for a Product Group Lead to own a major area of our platform and lead a group of 4-5 Product Managers. You'll shape the group's strategy and roadmap, grow and mentor your PMs, and work across R&D, Design, Data, Marketing and Customer Success to deliver products that our customers love: easy to use, intuitive and impactful, on both web and mobile.
This role is for someone who has already managed Product Managers, still loves getting into the details, and wants to have real impact on how a fast-growing product scales.
Key Responsibilities:
Lead, mentor and grow a team of 4-5 Product Managers, through hiring, onboarding, coaching and performance management.
Define the vision, strategy and roadmap for your product group, in line with the company's business goals.
Own the group's outcomes and KPIs, and make clear prioritization decisions based on data, customer insights and business impact.
Raise the bar on product craft across the team: discovery, specs, user flows, launches and measuring results.
Work closely with R&D, Product Design, Analytics, Marketing and Customer Success leaders to deliver cohesive, high-quality products.
Represent your group to management, and communicate plans, trade-offs and results clearly.
Improve product processes and best practices, including the smart use of AI tools in the product workflow.
Stay hands-on when it's needed, diving into complex problems, key initiatives and customer conversations.

Required Director, Engineering
Welcome to a highly disruptive, high-velocity "startup within a startup" rewriting the rules of corporate travel. Edge is an AI-powered personal assistant and concierge service built exclusively for the frequent business traveler. We are fusing always-on conversational AI, capable of learning preferences, executing complex bookings, and stacking high-value rewards like hotel loyalty and credit card multipliers, with a seamless handoff to a 24/7 VIP human concierge. We are looking for a visionary, execution-obsessed Director of Engineering to take the helm. This is your opportunity to lead the end-to-end engineering of a bleeding-edge, user-facing AI product on a global scale.
What Youll Do:
Lead the Trajectory from Ground Zero to Global Scale: You will start with a lean, highly focused scope to deeply internalize our business, product, and operational DNA. From there, your growth is driven by your impact. As you prove your success, you will have the potential to scale your scope across a multi-disciplinary organization-with opportunities to also lead data science, model training, mobile, and data domains, while developing a top-tier team of EMs to help you lead your organization.
Own Your Domain End-to-End: You will have absolute E2E ownership over your specific product area and technical domains within. You will be directly accountable for driving critical business metrics like booking volume, conversion rates, and system latency, while maintaining a strategic eye on optimizing our AI inference costs.
Provide Hands-On AI Technical Leadership: Guide the architectural vision and execution of our modern AI stack. You will drive the implementation of LangChain, Nest.js, Vector DBs, and advanced RAG architectures, leveraging open-source LLMs and fine-tuning models to deliver an unmatched user experience.
Drive Cross-Functional Execution: Act as the technical engine collaborating seamlessly across Product, Marketing, and Operations. You will partner with and present to senior executives, ensuring technical roadmaps aggressively align with our disruptive business objectives.
Build a World-Class Culture: Act as a talent magnet. You will recruit, mentor, and retain top-tier engineering and AI talent, fostering a culture of high velocity, intense empathy, and unyielding technical excellence.

We're hiring the person who will own our R&D- engineering, QA, and applied AI research - as a founding-team hire.
That means all of it: what we build and how, the quality bar and how we enforce it, the AI architecture and the research that keeps it ahead, who we hire, and when we're ready to ship. You'll inherit all three functions, decide what they should look like at 3x, and build that.
You'll report directly to the founder and work alongside our Lead PM, who owns product direction and roadmap. You own how it gets built, how good it is, and how fast it moves.
A word of honesty:
This is a founding-team role at an early-stage company, which means it is hands-on. You will get into the code. You will run the QA passes yourself, on the things that matter most, even though QA isn't your only job. You will test a video session on a bad connection at 9pm because a launch depends on it. You will make calls with incomplete information and live with them. You'll lead R&D, but you'll lead by doing, not by directing. If you want a purely strategic seat with people beneath you to execute, this is the wrong role. The reverse is just as true: this is not a senior engineering job with a bigger title on it. You'll be managing people, hiring them, and answering for their work, and there's no technical leader above you to learn that from. If you haven't done it before, this isn't the place to start. If you want to own the hardest, most consequential technical problems in the company and see them through, read on.
What you'll own:
Reliability of realtime AI agents, audio and chat sessions on a user's old laptop and a sales rep's poor wifi, not just a developer's machine.
Turning a launch-phase codebase into one a growing team can work in safely.
The quality bar for everything that ships. We have a QA function today, not a QA department - part of this role is deciding what it should become, and how much of it is people versus automated test infrastructure. We don't have a fixed answer; you'll set it.
End-to-end quality of the booking-and-payments flow, including the failure paths most teams skip.
Security and privacy of sensitive sales conversation data - the controls that keep us defensible, and an independent security review you can run yourself.
The AI and agent architecture: what models, what orchestration, what runs on-device versus in the cloud, and how we stay ahead as the underlying models move.
Evaluation as a discipline - you own how we know whether the coaching is actually getting better. The evals, the benchmarks and the harnesses that tell us a change is real and not a vibe, on a product where the output is a judgment call rather than a right answer.
Turning research results into shipped product, not internal demos.
Hiring, structure and standards across all three functions.
A delivery cadence the company can plan around.

What You Will Be Doing
Lead and grow a high-performing engineering organization responsible for our core product offering.
Define and execute the engineering strategy for our Kubernetes resource management platform, enabling DevOps teams worldwide to operate more efficiently.
Partner closely with Product, Design, and Go-to-Market leaders to translate business strategy into engineering execution.
Drive technical excellence, architectural direction, and engineering best practices across multiple teams.
Build, mentor, and develop engineering managers and senior engineers, fostering a culture of ownership, innovation, and continuous improvement.
Scale engineering processes, organizational structure, and delivery capabilities while maintaining a high bar for quality and execution.
Balance hands-on technical leadership with organizational leadership, making key architectural and strategic decisions when needed.
Create an environment where talented engineers can do their best work with a high degree of autonomy, accountability, and collaboration.

What You Will Be Doing
Lead and grow a high-performing engineering organization responsible for our core product offering.
Define and execute the engineering strategy for our Kubernetes resource management platform, enabling DevOps teams worldwide to operate more efficiently.
Partner closely with Product, Design, and Go-to-Market leaders to translate business strategy into engineering execution.
Drive technical excellence, architectural direction, and engineering best practices across multiple teams.
Build, mentor, and develop engineering managers and senior engineers, fostering a culture of ownership, innovation, and continuous improvement.
Scale engineering processes, organizational structure, and delivery capabilities while maintaining a high bar for quality and execution.
Balance hands-on technical leadership with organizational leadership, making key architectural and strategic decisions when needed.
Create an environment where talented engineers can do their best work with a high degree of autonomy, accountability, and collaboration.