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We are seeking a highly motivated AI Solutions Engineer to join a team leading the evaluation, adoption, and integration of AI-based tools into our development processes.
This role involves identifying opportunities to enhance workflows through AI, implementing internal tools that leverage AI capabilities, and collaborating with cross-functional teams to ensure seamless integration and usability.
Responsibilities:
Lead end-to-end AI initiatives from ideation to production
Design and deploy AI agents, automations, and data-driven solutions
Partner with business and engineering teams to deliver impactful use casesDrive prioritization based on business value and strategic impact
Define KPIs and monitoring to track performance, adoption, and ROI
Provide insights to leadership and lead cross-functional efforts in a matrix environment
Lead technical AI sessions, workshops, and internal enablement programs to drive adoption and upskill teams.

Responsibilities
Design, build, and maintain scalable ETL/ELT pipelines to integrate data from diverse sources, optimizing for performance and cost efficiency.
Leverage Databricks and other modern data platforms to manage, transform, and process data
Collaborate with software teams to understand data needs and ensure data solutions meet business requirements.
Optimize data processing workflows for performance and scalability.

Responsibilities  
Research for new security issues/vulnerabilities in Cloud Environments & SaaS Applications.
Write proof-of-concept, threat detections, and analytical algorithms.
Analyze logs and behavior of user activities on Cloud Environments & SaaS Applications.
Hunt threat actors & insider threats.
Conduct advanced vulnerability research to deepen platforms understanding, strengthen product security, and responsibly share knowledge with the security community.
Collaboration with R&D groups within the company to implement your latest research.
Evaluate and recommend steps to harden customer's Cloud Environments & SaaS Applications.
Optimizing existing algorithms to reduce false positives and increase the value of our products.
Writing cyber security-oriented blogs and publications.
Follow and evaluate new security threats, attack vectors, and technologies.

We are looking for a DevOps & infrastructure Engineer to join our Labs team. A successful candidate will join a team of highly skilled professionals and engage with the Engineering groups activities and goals.
Responsibilities
Build, maintain, and operate on‑prem and cloud infrastructures serving internal labs and R&D related environments.
Deploy and support simulation environments that mirror customer environments using technologies such as VMware, EMC, NetApp, Tanzu Kubernetes Grid (TKG), and VRA
Work with Kubernetes (K8s) to support containerized workloads and internal engineering use cases.
Manage cloud infrastructures across AWS, GCP, and Azure for various development needs, including running POCs, simulating environments, and overseeing license and budget management.
Develop automation tools and scripts using PowerShell or other scripting languages to streamline internal processes and improve operational efficiency.
Enhance Developer Experience by building internal tools, improving development workflows, and exposing capabilities that accelerate engineering productivity.
Collaborate closely with multiple stakeholders, including development teams, support, and product managers, to ensure infrastructure meets evolving business and technical requirements.

Were looking for a Product Manager to join the DLP team and help build a next‑generation Data security platform.
Youll own product areas end‑to‑end and turn real customer problems into impactful solutions.
Responsibilities
Own the full product lifecycle (discovery → delivery → adoption)
Translate customer needs into clear product requirements
Collaborate with engineering, design, sales, support, marketing, and cross‑product teams
Balance security effectiveness, UX, and performance.

We are looking for an experienced Product Manager to join our Product team, responsible for owning and evolving core SaaS and Web platform capabilities with strong security and data foundations.
This role focuses on end‑to‑end ownership of UI‑driven B2B products, close collaboration with engineering and cross‑functional teams, and delivering intuitive, high‑quality experiences that balance usability, data insights, and enterprise‑grade security requirements.

What you'll do

Context Lake and Agentic Layer

Build and maintain Context Lake on GitHub: the structured, machine-readable repository of messaging, brand guidelines, persona profiles, competitive positioning, and use cases that every agent draws from.
Design the architecture so that when a marketer updates a file, every downstream agent immediately produces sharper output. Repo structure, file schema, naming conventions, update workflows - all of it.
Build and maintain the Agentic Layer: the skills, orchestration files, automations, and shared memory structures that power SysAid's content production and campaign workflows.
Set and enforce the quality bar for both layers. Context files that agents can't reliably read are a production bug. Treat them that way.

We seek a proactive and relationship-driven Account Executive responsible for spearheading growth initiatives within our SMB client network. Your main duties will include identifying expansion opportunities, nurturing existing relationships, and leveraging these connections to broaden your network, driving account growth.

Key Responsibilities:

Cultivate relationships with existing Mid market clients and innovatively enhance expansion performance through creative strategies.
Create and deliver compelling product and service presentations to existing customers to drive growth.
Identify growth opportunities, engage with existing customers, deliver presentations, and drive closure on business opportunities.
Demonstrate proficiency in technical problem-solving and possess strong technical adaptability skills.
Follow up on marketing & CSM-generated leads to build the expansion sales pipeline.

Responsibilities
Operational Strategy & Execution
Drive the execution of operational strategies that support efficient product development, delivery, and alignment with business priorities.
Process Optimization & Continuous Improvement
Identify, analyze, and continuously improve product workflows, fostering a culture of operational excellence, scalability, and innovation.
AI, Automation & Tooling
Identify opportunities to leverage AI, automation, and emerging workflows to improve Product operations. Own the Product Management tool stack end-to-end (e.g., Azure DevOps, Salesforce, internal systems), evolving tools, integrations, and workflows to drive measurable impact.
Cross-functional Leadership & Project Delivery
Partner with Product, Engineering, and cross-functional stakeholders at all levels to lead and deliver initiatives end-to-end, ensuring alignment, transparency, and timely execution.
Insights, Metrics & Decision Support
Define and track KPIs, and collect and analyze data to generate actionable insights that improve product performance and inform decision-making.
Operational Governance & Adoption
Drive adoption of Product Operations standards, frameworks, and best practices across the organization.
Prioritization & Planning
Own and evolve planning and prioritization frameworks to ensure focus, alignment, and effective resource allocation.
Customer Commitments & Deal Support
Support customer-driven commitments and deal acceleration processes, ensuring Product is set up to deliver on high-impact opportunities.

You'll report to the Director of Product Marketing and Brand and work closely with the CMO and CEO. You'll pitch journalists, manage agencies, run social channels, own the awards calendar, and drive review site programs like G2 and Gartner Peer Insights. And you'll use data to know whether it's working, and change direction when it isn't. brand narrative is clear and differentiated. Your job is to make sure the market actually hears it.

What you'll do

PR and media relations

Own media relations strategy: which stories we tell, to which journalists, in which outlets, and when.
Pitch and place coverage across trade, tech, and business media in key markets.
Build and maintain relationships with journalists and editors relevant to the ITSM, AI, and enterprise tech space.
Manage PR agencies where relevant, keeping output sharp and on-strategy.

Data has never been more valuable, and more vulnerable. As cyber threats evolve and regulations tighten, organizations struggle to answer one key question: Is my data secure?
At our company, we take a different approach: we protect data from the inside out. Our fully autonomous Data Security Platform enables organizations to continuously reduce risk through intelligent automation, not manual effort.
Were looking for an experienced R&D Group Leader to lead the Remediation domain, owning the systems that actually fix risk at scale, from policy definition to automated execution across customer environments.
This role sits at the heart of our companys value: turning insights into real, safe, automated actions that reduce exposure across enterprise data.
We work in a flexible, hybrid model.
What Youll Do
Leadership & Ownership
Lead and grow a group of engineers responsible for Data Lifecycle Automation (DLA), policies framework, and remediation automations
Own delivery, quality, and operational excellence of production systems running at scale
Define technical direction aligned with product and business goals
Product & Impact
Drive development of customer-facing remediation capabilities (e.g., permissions cleanup, stale access removal, exposure reduction)
Partner closely with Product, Security, and Customer Success to maximize real-world risk reduction outcomes
Translate complex security problems into scalable, automated solutions
Architecture & Systems
Own the design of distributed, highly scalable microservices handling policy evaluation, recommendation generation, and action execution
Ensure high reliability for real-time / near-real-time remediation flows
Drive best practices across CI/CD, observability, testing, and system resiliency
Enhance the execution of dev velocity and efficiency of leveraging AI agents.
Execution & Scale
Manage full lifecycle: ideation → design → production → customer impact
Balance innovation with operational stability in a fast-moving SaaS environment
Lead cross-team initiatives across Platform, access, Privacy, and AI domains
People Leadership
Mentor managers and senior engineers
Build a strong engineering culture focused on ownership, quality, and impact
Recruit and develop top-tier talent.

You'll sit inside the marketing team and work closely with product marketing, demand gen, and growth. You'll be the person in a campaign review who surprises the room with a concept that's unexpected and airtight, because you got there through insight, not instinct alone. The briefs will range from paid social to landing pages, from product launches to brand campaigns. What stays constant is the expectation: every piece of creative you touch must be grounded in insight, brand clarity, and performance intent.

What you'll do

Crack briefs before they're handed to you. Translate market intelligence, customer insight, and competitive context into creative direction that's specific and actionable.
Develop campaign concepts end-to-end: the idea, the narrative, the execution plan.
Push the creative further than the brief asks. Know when a concept is good enough and when it can be sharper.
Build creative assets yourself: ads, landing pages, scripts, social content, campaign visuals.
Work across formats and channels, from static paid creative to video scripts to long-form brand content.
Maintain high output quality even when deadlines compress. Pace and craft are not a trade-off here.
Use performance data to inform creative decisions. Know what's converting, what's not, and why.
Bring data into the brief stage, not just the retro. Let it sharpen the concept before production begins.
Develop an instinct for what works in a B2B SaaS context without defaulting to what's safe.
Use AI tools as a genuine force multiplier: for ideation, concept exploration, copy generation, visual references, and production acceleration.
Stay ahead of what's possible. Bring new capabilities into the team's workflow before they become obvious.
Maintain craft standards as AI scales output. Volume is not the goal. Quality at volume is.
Keep creative work on-brand at pace. Know the guardrails well enough to move fast without losing coherence.
Work closely with PMM to ensure creative reflects the right message for the right audience.
Align creative direction with multiple stakeholders without letting the work get diluted by committee.

We're looking for a Design Technologist to join our Design team. This role sits at the intersection of Product Design, AI, and Product Development. You'll help shape complex product experiences while building workflows and ways of working that enable design and engineering to move faster together.

This is not a software engineering role. We're looking for a product designer with strong technical curiosity, a builder mindset, and a passion for improving how products are designed and built.

What you'll do

Drive UX and product design for complex workflows and product areas

Partner closely with Product Managers and Engineers throughout the product development process

Help evolve our design system and design infrastructure

Work comfortably with code, component libraries, and engineering environments to bridge design and implementation

Explore, define, and scale AI-powered workflows across the design team

Evaluate new tools and approaches that improve collaboration between design and engineering

Help the team adopt more efficient, flexible, and modern ways of working