דרושים » תוכנה » AI consultant

Were hiring a Technical Customer Success Manager (TCSM) to own the post-sales customer journey for a portfolio of enterprise accounts. This role is a strong fit for candidates with experience as a Technical Account Manager (TAM), Customer Success Manager, Solutions Engineer, or Professional Services Consultant, but is specifically designed around proactive customer program ownership, adoption leadership, and long-term customer success.
You will lead onboarding, adoption, value realization, and ongoing customer success by driving execution across customer stakeholders and internal teams. This is a highly proactive role focused on customer program leadership: running meetings, tracking action items, aligning stakeholders, removing blockers, and ensuring customers continue moving toward successful deployment and long-term adoption. You should be technically credible enough to lead conversations around cloud, Kubernetes, IAM, and modern infrastructure workflows - while partnering closely with Customer Success Engineers (CSEs), who lead deep technical implementation, troubleshooting, and architecture guidance.
Responsibilities:
Own the post-sales customer journey for a portfolio of enterprise customers, from onboarding through adoption, value realization, and renewal readiness.
Lead onboarding and adoption programs by defining success plans, milestones, meeting cadence, stakeholders, and next steps.
Drive customer momentum through disciplined follow-up, clear meeting summaries, action tracking, and proactive stakeholder management.
Act as the primary post-sales point of contact and trusted advisor for both technical and business stakeholders.
Proactively identify risks to adoption, deployment progress, or account health, and drive mitigation plans to keep customers on track.
Partner closely with CSEs on technical onboarding and implementation workstreams, while owning the overall coordination and customer experience.
Help customers translate our capabilities into practical rollout plans, internal alignment, and measurable business value.
Monitor product adoption, customer engagement, and success milestones to identify expansion opportunities and support retention.
Partner with Sales on renewals, upsell, and cross-sell opportunities by surfacing needs, value drivers, and growth potential.
Lead regular customer check-ins, success reviews, and strategic business reviews.
Learn customers business goals and challenges; communicate feedback internally and advocate for improvements across Product, Engineering, and customer-facing teams.

we are looking for a Predictive Analytics Solution Engineer.
Typical Tasks:
Guide and assist customers in utilizing the platform and implementing AI models.
-Help customers understand complex AI concepts, identify relevant use cases, and implement solutions to drive business value.
Address and resolve technical and data-related issues.
Provide valuable feedback to the product team and collaborate to enhance the product.
Analyze model outputs and explain complex ideas in a clear, understandable manner.
Serve as the primary data and technical contact for clients, understanding and addressing their needs

Were hiring a Customer Success Engineer to work directly with customers to onboard, implement, troubleshoot, and optimize the platform- across Linux, Kubernetes, IAM, and secure access workflows. Youll be the primary technical contact: diagnosing issues, guiding best practices, collaborating with Product/Engineering on escalations, and turning learnings into repeatable runbooks that keep deployments stable and effective.
Responsibilities:
Deliver a smooth onboarding experience and drive adoption/expansion for existing customers.
Proactively identify opportunities to drive customer success and product adoption through architectural guidance, hands-on enablement, and technical planning.
Investigate and resolve our cases (secret access, authentication, certificate workflows, remote access) while guiding secure configuration and best practices.
Reproduce issues in test environments (Linux, Docker, K8s) to isolate root causes.
Write KB articles to streamline troubleshooting and improve customer experience.
Learn customers business and challenges; log and communicate requirements; partner with Product & Engineering to escalate/validate fixes, contribute to team processes, internal tooling, and advocate for customers.
Act as a trusted advisor and support critical issues.

we are looking for a Network Data Analyst.
As a Data Analyst, you'll be instrumental in constructing and managing the AI rules engine, alongside pinpointing network patterns to deliver value across various domains for our clients. This role requires proficiency in deriving insights from data and conducting thorough analyses. Additionally, it offers significant autonomy for innovation and creativity, qualities we encourage in all team members. Strong teamwork and interpersonal skills are also crucial for success in this position.
Together, we can shape the future of network security.
Responsibilities:
Take a significant part in data analysis, contributing to our ever-evolving automation engine.
Research various network behaviors and patterns.
Preform data research to classify network entities based on behaviors and patterns.
Write and implement creative scripts to achieve data science-oriented goals.
Characterize and define new product features.
Work closely with Data Engineering teams to ensure the optimal solution is built in terms of logic and infrastructure.

we are looking for a Data Analyst.
As a Data Analyst, you'll be instrumental in constructing and managing the AI rules engine, alongside pinpointing network patterns to deliver value across various domains for our clients. This role requires proficiency in deriving insights from data and conducting thorough analyses. Additionally, it offers significant autonomy for innovation and creativity, qualities we encourage in all team members. Strong teamwork and interpersonal skills are also crucial for success in this position.
Together, we can shape the future of network security.
Responsibilities:
Take a significant part in data analysis, contributing to our ever-evolving automation engine.
Research various network behaviors and patterns.
Preform data research to classify network entities based on behaviors and patterns.
Write and implement creative scripts to achieve data science-oriented goals.
Characterize and define new product features.
Work closely with Data Engineering teams to ensure the optimal solution is built in terms of logic and infrastructure.