דרושים » תוכנה » Business Applications Manager - IL

We're looking for a business-minded, technically strong leader to lead Business Applications and play a key role in building a more autonomous company. You'll work across the company to unpack complex problems, spot where technology creates real leverage, and lead a team that turns those opportunities into working solutions, from AI agents and automation to custom builds, integrations, and enterprise platforms.
We believe two things matter for every leadership role: leadership that sets the bar for excellence, builds high performing teams, and holds them accountable, and strategy that thinks several years ahead and turns ambitious plans into reality. These aren't buzzwords, they're how we actually work.
Our AI-first approach isn't just a tagline either. We're building the future of insurance with AI at the center, and we need people who are genuinely excited to learn and grow alongside these tools.
In this role you'll:
Get deep into how teams operate, understanding their goals, economics, workflows, and constraints to identify the highest-leverage opportunities for technology
Build toward a more autonomous by identifying where work can be fundamentally redesigned through agents, AI, and software, then leading the team in making it real
Own problems end-to-end, from framing the problem and shaping the solution through implementation, adoption, and measurable impact
Shape a forward-deployed BizApps model where the team works close to the business, moves quickly, prototypes fast, and shares accountability for results
Lead and grow a strong team that combines business understanding, product thinking, and technical depth, raising the bar for ownership, curiosity, and speed
Build a point of view on where technology creates the most leverage across, then turn that into a portfolio of initiatives you drive from opportunity to measurable impact.

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.

We are seeking an experienced and highly driven Director of Engineering to lead and scale our R&D team. This is a highly hands-on, deeply technical leadership role. You will be expected to actively contribute to codebases, lead by technical example, and ensure the high-quality delivery and scalability of our unified DataOps platform. This pivotal role requires a leader who can both deeply understand and solve complex technical challenges with code, while also inspiring and guiding a team to build innovative solutions. Reporting directly to the CTO, you will play a critical part in shaping our engineering culture, driving technical excellence, and fostering a collaborative environment that aligns closely with our product vision and business goals.
What You'll Do:
Provide Technical Leadership & Guidance: Offer deep technical leadership, actively participating in coding, architectural design, and complex problem-solving to ensure high standards of code quality, scalability, and system reliability.
Lead & Grow Engineering Teams: Lead, mentor, and grow our R&D engineering team, fostering a culture of technical excellence, hands-on problem-solving, and continuous improvement.
Drive Ownership & Accountability: Instill strong ownership, accountability, and a builder mindset within the engineering organization, empowering teams to execute with velocity and autonomy.
Solve Complex Challenges: Troubleshoot and resolve complex technical and organizational challenges to ensure smooth operations and delivery.
Collaborate Cross-Functionally: Collaborate closely with Product and other cross-functional teams to translate business requirements into robust technical solutions and align engineering efforts with company objectives.
Optimize Processes: Optimize engineering processes, methodologies, and tools to support rapid growth and evolving business needs.
Reduce Leadership Load: Strategically contribute to reducing the technical and operational load on current leadership, taking on key initiatives and areas of ownership.

We are seeking an experienced Program Manager - Decisioning (Credit Risk) to own, evolve, and execute our risk decisioning products. This role partners closely with ML Engineers , Engineering Leads and Business Stakeholders to transition us from product-specific silos into a generic, high-velocity engine powering Card, BNPL, and emerging products.

Blending strategic oversight with hands-on, rigorous program execution, you will turn complex risk logic into scalable, explainable platforms. Youll own both long-range quarterly planning and sprint execution- defining who we approve, on what terms, and at what expected loss- while ensuring strict alignment with our risk portfolios, regulatory requirements, and long term unit economics. This role requires strong judgment, deep analytical thinking and meticulous detail standards.

As the Program Manager, your mission is to drive an advanced, adaptable decisioning platform that eliminates financial waste and prepares us for its next stage of hyper-growth. You will drive the delivery of core systems that determine how we approve, price, and manage risk-turning complex data into fair, instant, and transparent outcomes for millions of customers.

What Youll Do

Cross-Functional Partnership
Act as the glue in the "Decisioning Triangle," partnering with Business owners, ML Leads and Engineer Leads to operationalize underwriting policies, while taking into account the trade-offs between approval rates, loss, revenue, and customer experience. Partner and balance competing requirements from various business owners (Heads of Card, BNPL, etc.) as well as Compliance, Legal, and Operations to ensure high-quality execution and regulatory integrity.

Hands-On Program Management
Act as an owner for key initiatives, driving the full product lifecycle from discovery and definition through launch, iteration, and performance monitoring. Use data and experimentation to inform decisions and continuously improve outcomes. Identify and remove bottlenecks in the underwriting flow to drive toward high-automation and speed-to-market.

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.

We're looking for a Senior Director of Engineering to help scale how we build and own the core of our business. This role sits at the center of our R&D organization, partnering closely with senior product and tech leadership to raise the bar on engineering culture, team structure, and platform ambition.
We believe two things matter for every leadership role: leadership that sets the bar for excellence, builds high performing teams, and holds them accountable, and strategy that thinks several years ahead and turns ambitious plans into reality. These aren't buzzwords, they're how we actually work.
Our AI-first approach isn't just a tagline either. We're building the future of insurance with AI at the center, and we need people who are genuinely excited to learn and grow alongside these tools.
In this role you'll:
Lead multiple engineering domains, owning the structure, standards, and performance of teams that build our core product
Drive strategic initiatives that increase engineering leverage, so we can do more with smaller, sharper teams
Partner with senior product and tech leaders to shape how we build, not just what we build
Architect next-generation platforms that support our evolving product vision and scale with the business
Attract, develop, and retain high-performing engineers, holding a high bar at every stage of the hiring and growth process
Turn complex business problems into technical solutions that are clean, scalable, and built to last
Embed AI into how we develop and ship, using it to accelerate delivery and raise the quality ceiling.

The Program Manager will ensure predictable, coordinated, and transparent delivery between Product and R&D, from release planning through launch. The role connects product and engineering teams, establishing effective ways of working, managing dependencies and priorities, and maintaining clear communication with relevant stakeholders.

Key Responsibilities
Lead release planning, readiness, and launch processes in close collaboration with Product and R&D teams.
Manage release plans and track release readiness, dependencies, blockers, risks, and delivery milestones.
Create, consolidate, and distribute clear and accurate release notes.
Facilitate sprint opening, ongoing tracking, and closure, including monitoring tasks, statuses, and delivery objectives.
Work closely with Engineering Team Leads, Product Managers, and cross-functional stakeholders across the company.
Support prioritization and alignment across business, product, and technical needs.
Establish and continuously improve operating processes, ceremonies, and tracking tools to enable efficient and predictable delivery.
Identify blockers, drive their resolution, and provide transparent updates on program and release progress.

We are seeking a strategic technical leader to drive the next phase of our engineering evolution. Reporting directly to the VP of R&D, you will carry two core mandates:
Manage one or more engineering teams with a focus on AI development.
Lead AI SDLC transformation efforts across the entire R&D organization.
This is a rare, high-leverage role at the intersection of people leadership, technical craft, and organizational transformation. If you want to define how an entire engineering organization works in the age of AI - and leave a lasting fingerprint on a fast-scaling SaaS platform - this role is for you.
What You'll Do:
Domain Ownership & People Management:
Assume operational leadership for critical R&D domains, including management of engineering teams focusing on AI.
Manage, coach, and grow Team Leads and senior engineers, building leadership depth across your domains.
Own team health, delivery velocity, and engineering quality for every team under your purview.
AI Developer Experience (AI DX):
Lead the transformation of our engineering processes by implementing AI-driven tools, frameworks, and workflows.
Significantly accelerate R&D throughput, optimize developer workflows, and foster an AI-first engineering culture - leading by example.
Drive adoption of agentic coding tools (e.g., Cursor, AI agents) across teams and measure their impact on productivity.
Technical Authority & Governance:
Challenge existing architectural paradigms and introduce innovative, out-of-the-box solutions to complex technical problems.
Mentor engineering teams and raise the bar for AI engineering quality and best practices across R&D.
Strategic Cross-Team Leadership:
Orchestrate complex, cross-functional initiatives that require deep technical alignment across disparate teams.
Manage project delivery, timelines, and execution to ensure seamless cross-functional results.
Architectural Vision:
Define and execute the long-term technical AI roadmap, ensuring high standards of scalability, reliability, observability and engineering excellence across the platform.

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.