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We are looking for a Growth Marketing Lead who wants to build, not maintain.
Someone who sees demand generation as more than channels and metrics, and who will build our entire marketing program with AI at its core. This is not about using AI as a side tool. It is about designing how we generate demand, create content, reach buyers, and measure impact around what AI makes possible today.
You will shape how our company shows up, how we break through, and how we convert momentum into revenue.
What You'll Drive
Build an AI-Native Marketing Engine - Design programs, workflows, and team practices where AI is central to how we plan, create, and scale
Create Pipeline That Matters - Build integrated campaigns that generate real pipeline and accelerate deals, not just activity
Bring Big Ideas to Market - Turn bold messaging into campaigns people notice, remember, and act on
Own the Full Funnel - From first impression to closed deal, influence how prospects move and why they convert
Connect Teams and Execution - Work across product marketing, sales, SDRs, and field to keep everything in sync
Turn Insight into Action - Use data and AI to refine, improve, and scale what works, fast.

Required Technical Support Engineer Tier 3
As a Technical Support Engineer on our Tier 3 team, you'll work with some of the most advanced companies leveraging cutting-edge AI-driven systems to enhance business performance. Your role involves deep technical investigation, resolution of complex issues escalated by the Support team, and acting as the main technical liaison with R&D. You'll play a critical role in identifying recurring issues and driving continuous improvement initiatives in collaboration with R&D and Product Management through leveraging customer feedback and data across the Support team.
Youll Own:
Subject Matter Expertise: Serving as a dedicated subject matter expert (SME) for a specific product area and owning it end-to-end.
Escalation Management: Partnering with Tier 2 Support and Customer Success teams to prioritize escalations, communicate updates, and drive end-to-end resolution processes.
Team Enablement: Educating and upskilling Tier 2 teams by sharing insights, documenting learnings, and delivering trainings to bridge knowledge gaps and improve first-line resolution rates.
Support Tooling: Identifying gaps and advocating for, or creating troubleshooting tooling as needed, to better equip Support team members in identifying root causes faster and delivering more holistic resolutions as early as possible.
Youll Solve:
Complex Troubleshooting: Performing root cause analysis, troubleshooting, and resolving issues using a variety of tools, datasets, and cross-functional collaboration.
Recurring Technical Challenges: Aligning closely with R&D teams to communicate recurring technical themes and suggesting improvements.
Customer Obstacles: Reading and understanding code and writing occasional scripts to resolve complex customer issues.
Youll Impact:
Product Quality & Supportability: Collaborating with R&D and Product Management to provide solutions and workarounds, and to implement product features or support tools that ultimately reduce the need for customers to submit tickets.
Support Team Proficiency: Mentoring and enabling support teams to improve technical proficiency and resolution capabilities.

Security teams are not short on tools. They are short on time, alignment, and the ability to actually close exposure. That's why most breaches could have been prevented with a tool that was already in use.
our company was built to change that.
We are the first Agentic Exposure Ops Platform, designed to prevent the preventable breach by turning fragmented signals into coordinated action. Our agents investigate risk, drive remediation, and verify that issues stay closed, continuously, without adding overhead.
we are helping organizations move from reactive workflows to continuous execution, replacing manual effort with systems that actually move the work forward.
At our company, engineering isn't a service function it's where product happens. We're looking for a Fullstack (Product) Engineer who lives at the intersection of craft and product sense:You care as much about why we're building something as how it feels in the user's hands. You're an engineer who connects naturally with other engineers, and who enjoys mentoring and ramping up the people around you.
You'll own experiences end-to-end from the first PRD conversation to the KPI dashboard weeks after ship. You'll shape our component library, raise the bar on our frontend infra, and help define what "good" looks like across the R&D org. This isn't a role where you get handed pixel-perfect mocks and a closed ticket. You'll have opinions, and we'll want to hear them.
What you'll do
Craft the experience. Design and build polished, performant UI in Vue 3 (Composition API) from the tiny interaction details to the data layer behind them.
Own the full journey of a feature. Partner with Product on the PRD, define the KPIs that actually matter, ship it, then track whether it moved the needle and iterate honestly if it didn't.
Shape the component library. Evolve our patterns, primitives, and the infra that lets the whole team build faster without sacrificing quality or consistency.
Go full-stack when it counts. Write Node (NestJS) services and work across our data stack (Postgres, Snowflake, ClickHouse) to deliver features truly end-to-end.
Push AI-assisted development forward. Build the guardrails, skills, and workflows that let engineers contribute code quickly and safely you'll help make AI a force multiplier for the whole team, not a liability.
Raise the bar org-wide. Your taste in UX, and code quality should ripple well beyond your own team.

Required Senior SRE Engineer /Senior DevOps
Were on a mission to help companies unlock reality and reach their full potential. As a Senior Site Reliability Engineer (SRE), youll play a key role in shaping our new Production Reliability domain. Youll drive reliability initiatives, lead cross-team projects, and ensure our SaaS platform stays robust, scalable, and efficient. This is a high-impact, hands-on role that demands technical expertise and a proactive approach.
You'll Own
Design, build, and maintain scalable, fault-tolerant systems.
Define and enforce reliability processes, SLOs, SLIs, and SLAs.
Lead complex incident responses, including on-call rotations and postmortems.
You'll Solve
Challenges related to observability, testing, production stability, and development productivity.
Reliability improvements through data-driven decisions.
Complex production incidents.
You'll Impact
Build automation, tooling, and self-service capabilities.
Collaborate with engineering, product, and support teams to embed reliability into everything we do.
Mentor engineers and promote operational excellence across the organization.

Were seeking a highly motivated, Senior Product Designer to play a key role in designing, exploring, and continually delivering innovative solutions and experiences. If you have a passion for creating innovative products and thrive on identifying and solving user needs, we want you!
You'll Own:
Drive the user experience and design for one of our key product areas.
Lead end-to-end design processes- from ideation and wireframes to polished, high-fidelity designs.
Champion user-centered design principles and act as the voice of the user across the product lifecycle.
Help shape and refine our UI pattern libraries and design guidelines.
Take ownership of creating intuitive, scalable, and impactful product experiences.
You'll Solve:
Research and deeply understand complex user problems in B2B SaaS environments.
Transform complicated workflows into elegant, simple, and easy-to-use solutions.
Balance strategic thinking with attention to detail while designing flows and interfaces.
Collaborate closely with Product Managers and Engineers to bring ideas to life.
Use prototyping, user research, and testing methodologies to validate and improve solutions.
You'll Impact:
Create exceptional UX experiences that turn users into loyal advocates and raving fans.
Influence how revenue teams worldwide work more productively and make smarter decisions.
Contribute to products used by more than 4,500 companies globally.
Help build innovative AI-powered experiences that drive measurable business outcomes.
Be part of our Own. Solve. Impact. culture by delivering meaningful product and customer impact.

We are looking for a Platform Security Director to lead the engineering of our security infrastructure. Your mission is to build a Security Machine that is as sophisticated as our AI. You will move us beyond traditional "defense" into a "Secure-by-Default" reality, where our multi-cloud infrastructure (AWS and Azure) is hardened, automated, and resilient by design.
Youll Own:
The end-to-end security strategy across Application Security, Cloud (AWS/Azure), and Platform layers, ensuring a Secure-by-Default framework, as measured by deployment coverage, critical vulnerability reduction, and developer adoption metrics.
A unified Security Engineering organization covering AppSec, SecDevOps, and AI Security leadership, collaboration points with adjacent teams (Infrastructure, R&D, Product Engineering), and building and mentoring a high-performing team.
Lead our Platform Security domain - from Layer 7 protections to AWS architecture, security tooling, automated risk scoring, and AI-assisted automation workflows that improve detection and remediation times.
Security controls (WAF, Rate Limiting) embedded into the SDLC and CI/CD pipelines, including mandatory security gates, artifact scanning, and automated deployment checks.
Lead our AI strategy - enabling secure use in our platform products as well as for our internal engineering usage, and scaling AI security governance and controls.
The evolution of scalable infrastructure security, including Kubernetes, containers, IAM, and Zero Trust architectures, strengthening Kubernetes and cloud security posture.
Own and execute the comprehensive Vulnerability Management program, from discovery (SAST/DAST/OSS scanning) through remediation tracking, and manage the external Bug Bounty program, with a focus on improving remediation SLAs and automation coverage.
Mature secure-by-default engineering practices across the SDLC.
Increase developer adoption of automated security tooling.
Youll Solve:
Eliminating manual bottlenecks through code-driven guardrails and frictionless developer experiences.
Securing complex production systems and multi-tenant AI architectures in cloud-native production environments, with a focus on model integrity, training data provenance, data exfiltration prevention, and minimizing unique risks associated with Large Language Models (LLMs), by applying specific AI threat models.
Operationalizing Red/Purple Team exercises, penetration testing, and the Bug Bounty program to ensure a continuous feedback loop that drives proactive risk reduction.

Were looking for a DevSecOps Manager to lead our Israel-based DevSecOps team and own the security posture of our cloud infrastructure. Youll inherit a strong, established team of DevOps and DevSecOps engineers with meaningful ownership and a mature security program.
This is a hands-on leadership role that combines people management, technical depth, and architectural influence. Youll define the cloud security roadmap, remain close to the code and systems, and partner with Product Security, R&D, and Cloud Engineering to make security part of the platform by default.
Youll own:
The security posture of our multi-cloud infrastructure across AWS, Azure, and GCP.
Identity governance, least-privilege access, credential lifecycle management, and cloud vulnerability management.
Security controls embedded directly into the cloud platform, enabling R&D teams to build and operate securely by default.
Developer toolchain security, including CI/CD pipelines, software supply chain risks, and developer-facing guardrails.
The implementation of security as code, replacing manual processes and ticket-based controls with scalable automation.
The leadership, development, and technical growth of a team of DevOps and DevSecOps engineers.
Teams roadmap, priorities, and quarterly planning in alignment with Cloud Engineering and the broader Security organization.
The teams role as the primary cloud security partner for Product Security, R&D, and Cloud Engineering.
Clear security standards, ownership boundaries, and operating practices across the cloud platform.
Youll solve:
Security challenges across a large, evolving environment with multiple production cells, several cloud providers, and more than 500 engineers.
Gaps in cloud identity, permissions, credentials, workload protection, and vulnerability management.
Security risks within Kubernetes, including RBAC, pod security, network policies, and runtime protection.
Risks across GitHub, CI/CD pipelines, third-party dependencies, and the software supply chain.
Friction between strong security controls and the speed, usability, and autonomy R&D teams need.
Repetitive security work by turning manual controls into automated, reusable platform capabilities.
Cross-functional challenges that require alignment between Cloud Engineering, Product Security, R&D, and compliance stakeholders.
Emerging cloud security gaps by proactively identifying them, proposing practical solutions, and driving remediation through completion.

Youre not just a doer-youre a strategic thinker. You can take direction while also thinking creatively to bring fresh, innovative ideas to life. With a strong service-oriented mindset, you thrive in dynamic, fast-paced environments, and consistently add value to every experience. You're proactive, adaptable, and always ready to take on new challenges with enthusiasm and a positive attitude.
This is a temp position for 6-9 months starting in Mid November.
What Youll Do?
Employee Experience: Plan, coordinate, and execute company-wide events, celebrations, and culture-building activities. Drive engagement through thoughtful activities and personalized gifts.
Internal Communications & Operations: Oversee smooth office logistics and ensure a pleasant work environment. Handle administrative tasks and manage internal communications across various platforms (Slack, Emails, Confluence).
HRIS management: Manage all employee records, updates, and HR system operations
Finance & Vendor Management: Manage relationships and payments to suppliers and service providers, working closely with the finance team to ensure timely and accurate processing.
Office Relocation Project: Lead and oversee the companys office relocation project during December-January, managing external vendors, logistics, setup, and employee transition to ensure a seamless move.

Were looking for a Solution Architect to bridge the gap between complex AI security challenges and real-world enterprise implementations. In this role, you will work closely with customers, Product, R&D, and Sales to design scalable, secure, and high-impact AI security solutions.

This is a strategic, customer-facing, and hands-on role where you will own the technical design of enterprise deployments and play a key part in shaping how our platform delivers value in production environments.

What Youll Do:

Own Customer Solution Design

Lead technical discovery sessions with enterprise customers to deeply understand their AI usage, architecture, and security requirements.

Design end-to-end solution architectures tailored to customer environments (cloud, hybrid, on-prem).

Translate security and governance needs into scalable technical implementations.

Be the Technical Bridge

Work closely with Sales during pre-sale processes to support technical validation and proof-of-value engagements.

Partner with Product and R&D to communicate field feedback and influence roadmap priorities.

Ensure smooth handover from pre-sale to post-sale implementation and ongoing optimization.

Drive AI Security Implementations

Architect integrations across AI systems, LLM applications, data pipelines, model layers, and runtime environments.

Define best practices for secure AI adoption, governance workflows, and observability frameworks.

Guide customers through architecture decisions, trade-offs, and scalability considerations.

Lead Technical Authority

Act as a trusted advisor to CISOs, security teams, and AI leaders.

Support complex technical escalations and architectural challenges.

Continuously stay ahead of trends in AI security, cloud architecture, and enterprise security frameworks.

We're seeking a talented Product Manager to join our Fintech team, owning and growing our company Pay - our embedded payments platform that lets field service businesses get paid faster, manage payouts, and handle the financial side of running their business, all without leaving our company.
This isn't a zero-to-one build - our company Pay is a live, adopted product processing in a high payment volume annually for our customers. You'll drive its next phase: expanding payment capabilities, deepening financial integrations, and shipping new fintech features, all while operating in a data-rich, highly regulated environment where accuracy and compliance are non-negotiable.
If you're a detail-oriented, data-driven product manager who's comfortable partnering closely with legal, risk, and compliance stakeholders - and who gets energy from getting the numbers right - read on!

Required Senior DevOps Engineer
As a Senior DevOps Engineer, you'll design, operate, and evolve the platform that runs our production environment across AWS, GCP, and Azure, powering hundreds of Java microservices, ML model-serving workloads, and the internal tooling our R&D organization depends on every day.
You'll own:
A multi-cloud, multi-region Kubernetes platform managed as code via Crossplane, Helm, and ArgoCD
CI/CD pipelines (Jenkins, GitHub Actions, Argo Workflows) that deploy, test, and scale workloads across environments
Monitoring, logging, and alerting across the stack (Datadog, Coralogix, Sentry, Wiz), and the on-call rotations that keep it healthy
You'll solve:
High-scale production problems: driving continuous platform and security upgrades across the fleet, under real traffic, without impacting live tenants
The velocity-vs-safety tradeoff: designing GitOps workflows where a single PR can safely impact production across clouds and region
Advanced troubleshooting when production, staging, or dev environments break in unexpected ways
You'll impact:
Every engineer. Our platform is the substrate they deploy on, so your work directly affects their delivery speed
Cost, reliability, and security of the infrastructure that underpins the product our customers pay for
The resilience of our customer experience. The platform you build determines whether thousands of revenue teams can trust us to be there when they need it
The direction of the platform itself. You'll have the autonomy to challenge existing architecture and drive meaningful changes, not just maintain what's already there.

Were looking for an experienced, multidisciplinary Security Engineer with a strong technical foundation and the ability to learn and own new technologies and domains from the ground up.Youll join Corporate Security Engineering within our Cyber Defense organization, Youll design, implement, and mature the security controls that protect our business applications, workforce, and corporate environment.
Youll work closely with Cyber Defense, IT, DRE, R&D, People, Legal, and GRC to embed security controls at scale. Our strategy is AI-first and built on identity-centric controls, Zero Trust principles, and scalable automation.
Youll Own
The security posture of our corporate technology stack, including AI security, identity, DLP and insider risk, EDR, MDM, browser security, SSPM/CASB, network security, and email and collaboration security.
Zero Trust access policies for workforce and external users, along with hardening for macOS, Windows, and Linux endpoints, browsers, SaaS applications, and corporate networks.
Identity and access capabilities, including SSO, phishing-resistant MFA, passwordless authentication, conditional access, device trust, PAM, joiner-mover-leaver controls, and service-account hygiene.
The evaluation and rollout of new security technologies, taking solutions from proof of concept through production.
Automated workflows and API integrations that scale security controls without adding operational overhead or headcount.
SaaS, third-party, and AI governance, including SaaS configuration reviews, vendor security assessments, access reviews, OAuth governance, posture remediation, and enablement-first guardrails for employee AI tools.
Domain expertise for SecOps incident response and partnership with IT and R&D to embed security standards and operating procedures into day-to-day processes.
Youll Solve
How to protect a fast-growing SaaS companys corporate environment across a broad and evolving technology stack.
How to translate security risks into clear requirements, practical controls, and reliable production operations.
How to strengthen identity, endpoint, SaaS, network, email, and collaboration security through a unified Zero Trust approach.
How to automate security processes and integrate systems so controls remain effective as we scale.
How to enable employees to use SaaS and AI tools safely through thoughtful guardrails rather than blanket restrictions.
How to make security standards easy for partner teams to adopt by embedding them into operational workflows and SOPs.
Youll Impact
The security and resilience of our business applications, workforce, and corporate environment.
Our ability to scale securely through stronger identity-centric controls, Zero Trust access, endpoint hardening, and SaaS governance.

Required Senior Backend Engineer - AI Framework (Python)
As a Senior Backend Engineer on our AI Framework team, you will build the foundational platform that enables the entire organization to design, evaluate, deploy, and operate AI agents at scale. This is a new, high-impact team responsible for creating the frameworks, tools, and guardrails that power our agentic ecosystem.
Youll work deeply in the agentic space, designing systems for orchestration, evaluation, observability, and safety. The platforms you build will be used by multiple teams across, making your impact immediate and company-wide.
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.
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.
Agent Runtime and Execution Engine: Building the runtime responsible for orchestrating agent execution, managing tool calls, maintaining state and memory, and ensuring reliable execution across distributed systems.
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.