AppOmni

• Design and implement scalable batch and real-time data processing systems across large and complex datasets. • Build and optimize ETL and streaming data pipelines using modern GCP big data technologies. • Support development decisions around model choices, data architecture, data modeling, pipeline orchestration, analytics infrastructure, and production systems. • Develop statistical models and analytics capabilities that support product intelligence and operational insights. • Design and maintain production-grade data workflows using technologies such as Airflow, Dataflow, PubSub, and PySpark. • Contribute across multiple areas of the data ecosystem, including data engineering, monitoring and governance, visualization, and analytics tooling. • Establish monitoring, observability, and governance practices for data quality, pipeline reliability, and production health. • Partner closely with Engineering to operationalize scalable data infrastructure and analytics systems. • Collaborate with Product to shape intelligent, data-driven product capabilities and user experiences. • Act as a thought partner across data engineering, analytics, infrastructure, and applied modeling initiatives. • Help evolve internal tooling and frameworks that improve scalability, reliability, and operational efficiency across the platform.

Role Description As an AppOmni Senior Solutions Engineer, you'll serve as a technical subject matter expert (SME), directly supporting sales efforts to meet quotas and contribute to AppOmni's rapid growth. You'll partner closely with sales teams, leveraging your expertise to lead customers to successful outcomes. You’ll also have the opportunity to work closely and collaborate with internal teams like Product Management, Product Marketing, and Customer Success to ensure seamless transitions from pre-sales to post-sales. What You’ll Do - Provide technical expertise for AppOmni customer opportunities identified by the sales team. - Present AppOmni to customers at all levels from technical engineering team members to C-level decision makers. - Provide technical demos to customer prospects. - Run, and own customer Risk Assessments and Proof-of-Value (POV) engagements. - Lead technical conversations about SaaS security industry trends and emerging challenges. - Interact locally and remotely with customers in an equally persuasive manner. - Be the technical voice of Sales for all things related to SaaS security and compliance. - Champion SaaS security best practices and innovations. - Work with Product Management and Product Marketing to build requirements and product features based on feedback from customers. - Work with the AppOmni Customer Success team to ensure a smooth customer transition from pre-sales to post-sales. - Foster relationships with AppOmni-supported SaaS security partners and vendors. - Provide technical AppOmni solution coverage for AppOmni marketing activities. - Assist in the creation and maintenance of central AppOmni Demo systems and demo guides. Qualifications - 5+ years of experience as a security system engineer, Solutions Engineer, or systems integrator. - Working knowledge of common SaaS solutions, such as SFDC, O365, Zoom, Box, Slack, Okta, Github, ServiceNow, and Workday, both from a technology and a business driver standpoint. - Self-driven and self-motivated individual who enjoys a fast-moving and constantly changing environment. - Startup experience is a plus. - Demonstrable experience in securing SaaS/cloud environments. - Deep understanding of API-based security & compliance standards. - Hands-on experience working with customers, positioning, demonstrating, and configuring security products during risk assessment or POV engagements. - Strong communication and presentation skills. - Strong technical qualification and closing skills. - Experience from companies in the enterprise security space, and experience working with and closing enterprise transactions. - Strong problem finding and solving skills, ability to analyze complex problems and use a systematic approach to gain quick resolution. - Experience understanding exploits, malware, ransomware and their creation and activation, etc. - Technical acumen with a broad technical security and infrastructure background. - Programming and DevOps experience will be an added advantage. - Experience with working with Channel partners, and understanding a channel-centric go-to-market approach. Benefits - Base Salary: The annual base salary compensation range in the U.S. for this role is: $220,000 - $240,000 OTE (base + commission). Higher compensation may be available for candidates in higher cost of living markets. - Stock Options: Our vision is to not just grow as a company but to grow together. - Generous paid time off, paid company holidays, paid floating holidays, paid parental leave, paid sick time and paid family leave for applicable states. - Health insurance - medical, dental, and vision with HSA option. - LifeWorks Employee Assistance Program. - Company-provided life insurance, AD&D, STD/LTD and additional supplemental life insurance options. - 401(k) and Roth retirement saving accounts. - Monthly wellness benefit reimbursement.

• Manage and serve as the primary point of contact for all post-sales technical and functional needs for AppOmni’s top enterprise customers through strong technical acumen, in-depth product knowledge, relationship-building, strategic planning, business value articulation, and execution. • Be consultative and be viewed as a technical SME by exhibiting a complete understanding of customer technical goals and objectives. Develop a trusted advisor relationship with customer champions, sponsors, and technical teams to drive product adoption and ensure they are using AppOmni to achieve full business value. • Ensure that a deployment and adoption plan is in place with each customer in order to facilitate the customer achieving their stated success criteria. Work closely with AppOmni’s Customer Success Manager (CSM) team to monitor and identify adoption and utilization trends, provide recommendations based on customers' needs, risks, and strategy. • Introduce, demonstrate, and implement new products and features as they become available. • Develop expertise in AppOmni’s API capabilities to help customers augment UI-based functionality with script-based approaches to unlock value. • Work closely with the Product and Engineering teams to define and influence SaaS application support roadmap and augmentation beyond the AppOmni Developer Platform. • Increase customer retention by assisting regular health check meetings for tactical items, and assisting with strategic business reviews for alignment of objectives and outcomes • Help the customer document their technical success criteria and strategy and partner with the CSM and customer teams to ensure adherence to the strategy; work with the customer to update technical success criteria if/as customer priorities shift. • Define and document the customer’s end-state AppOmni architecture and work with the customer to develop a roadmap and strategy for achieving the desired end-state architecture. • Track accounts to identify customer risk and work actively to eliminate that risk; partner with the CSM by contributing to the renewal strategy and work closely with the AppOmni Renewals Manager to influence the successful execution of renewals. • Be the technical voice of the customer to our internal stakeholders (engineering, product, sales, and executive leadership teams) and provide internal feedback on how AppOmni can better serve our enterprise customers. • Work closely with Product and Engineering on identification and tracking of product improvement requests, troubleshooting, and bugs. • Evangelize customer success stories with the AppOmni Marketing team. • Above all, put customer’s needs first and demonstrate customer obsession.

• Design, build, and maintain backend services and APIs to support our GenAI product using Python and FastAPI, ensuring they are scalable, reliable, and secure. • Develop and operate LLM-powered applications and agentic workflows using LangChain, LangGraph, and LangSmith, including tracing, evaluation, and observability. • Develop and manage infrastructure using Terraform, applying infrastructure-as-code (IaC) practices across backend and ML resources. • Build and maintain monitoring and alerting systems to surface service and API health issues early, ensuring reliability and performance. • Handle large datasets to ensure data is processed, ready for model context, and collaborate in the platform data pipeline. • Evaluate and select appropriate tools and technologies and define the overall technical strategy. • Assess and interpret data to gain insights, especially for testing and monitoring purposes. • Build and maintain CI/CD pipelines, including infrastructure-as-code (IaC), and automate deployment and monitoring across backend services and ML workflows. • Continuously improve and automate monitoring and alerts processes. • Optimize infrastructure and services for performance, scalability, reliability, and cost efficiency, and troubleshoot issues across deployment and runtime. • Troubleshoot and resolve issues related to pipeline deployment and performance. • Contribute to the development of internal engineering standards and documentation. • Advocate for engineering best practices and promote a culture of continuous improvement also mentoring and guiding others in the company in this topic. • Understand the requirements of stakeholders and translate them into technical solutions. • Develop robust model monitoring and alerting systems to ensure model performance and identify issues. • Support our mission and vision and embody and demonstrate AppOmni core values of Trust, Transparency, Quality, Customer Focus, and Delivery. Comply with all company policies and governing laws and regulations.

• Design and develop detection logic and security rules to identify threats, suspicious behaviors, and misconfigurations across SaaS applications. • Research SaaS platforms (e.g., Google Workspace, Microsoft 365, Salesforce, Slack, etc.) to understand security models, APIs, and potential attack surfaces. • Translate real-world attack techniques and SaaS security risks into scalable product capabilities, including detections, posture checks, and risk signals. • Contribute to both threat detection and posture management content, ensuring broad coverage across identity, access, integrations, and data exposure risks. • Analyze large-scale SaaS telemetry to identify patterns, anomalies, and opportunities for new detections or improvements. • Continuously improve detection quality by reducing false positives and ensuring signals are actionable for customers. • Collaborate with Engineering to productionize detection logic and ensure reliable execution at scale. • Partner with Product to shape how security insights are surfaced, prioritized, and explained to users. • Stay current on emerging SaaS attack techniques, identity threats, OAuth risks, and AI-related security considerations. • Contribute to internal knowledge sharing and help elevate SaaS security expertise across the organization.

• Leading development efforts, mentoring engineers and product managers, and making key architectural decisions that involve Data Science, Machine Learning and AI. • Partner with Sales, Marketing, Customer Support and other departments across the organization for a full end to end ownership from the product and technical perspective as well as internal enablement and customer support. • Develop greenfield projects and implement proof of concepts, including hands-on coding and connection to the product vision. • Architect end-to-end AI systems by choosing the best AI approach (Data Science, Statistics, Machine Learning and Generative AI) for the problem to be solved, considering all relevant trade-offs and risks, and work hands-on directly in the code with other engineers. • Bridge the gap between data science and product by translating applicable complex problems into holistic AI solutions, including the UX and UI, and leading its development while also managing from the product management perspective. • Use data-driven solutions to address complex cybersecurity problems. • Be responsible for the pipeline metrics and work hands-on with MLOps to optimize model and pipeline performance through proper monitoring, data mining, fine-tuning, prompt engineering, and hyperparameter tuning to meet latency and cost requirements. • Drive technical strategy by evaluating third-party AI tools versus building in-house solutions to maximize ROI. • Establish data governance and security standards to ensure the ethical and compliant use of sensitive information within AI models. • Create and implement incremental development and implementation plans based on a product long term vision.

• Manage and serve as the primary point of contact for all post-sales activity for AppOmni’s top enterprise customers through strong relationship-building, product knowledge, planning and execution • Be consultative and build in-depth relationships and a complete understanding of customer business goals and objectives. Develop a trusted advisor relationship with customer champions and executive sponsors to drive product adoption and ensure they are using AppOmni to achieve full business value. • Ensure that a plan is in place with each customer for deployment, change management and adoption programs. Monitor and identify adoption and utilization trends, provide recommendations based on customers' needs, risks, and strategy. • Introduce and implement new products and features as they become available, with the support of the AppOmni Technical Account Manager and/or Implementation Manager. • Increase customer retention by conducting regular health check meetings for tactical items, and performing strategic business reviews for alignment of objectives and outcomes • Track accounts to identify churn risk and work actively to eliminate that risk; own the renewal strategy and work closely with the AppOmni Renewals Manager to influence the successful execution of renewals. • Be the voice of the customer to our internal stakeholders (engineering, product, sales, and executive leadership teams) and provide internal feedback on how AppOmni can better serve our enterprise customers • Work closely with Product and Engineering on identification and tracking of product improvement requests, troubleshooting, and bugs • Simultaneously manage multiple enterprise customers who are at different points in the account lifecycle • Evangelize customer success stories with the Marketing team • Above all, put customer’s needs first and demonstrate customer obsession

• Design and implement data-driven risk scoring and prioritization approaches across SaaS security signals. • Lead the development of AI-powered product capabilities, including agentic and LLM-based features that support investigation, triage, and security operations workflows. • Define and evolve explainable decision logic so customers understand why issues are prioritized or actions are recommended. • Contribute to approaches that assess the potential scope and impact of security issues. • Establish evaluation methods to measure model quality, effectiveness, and reliability over time. • Incorporate product usage signals and feedback to guide continuous improvement of ML and AI systems. • Monitor ML and AI systems in production to ensure stability, safety, and consistent behavior. • Partner with Engineering to operationalize models and AI workflows, supporting safe deployment and iteration. • Collaborate with Product to shape AI-driven user experiences, ensuring alignment with customer needs and trust expectations. • Act as a technical leader and thought partner on applied ML and AI across the product area.

• Design and develop detection logic and security rules to identify threats, suspicious behaviors, and misconfigurations across SaaS applications • Research SaaS platforms (e.g., Google Workspace, Microsoft 365, Salesforce, Slack, etc.) to understand security models, APIs, and potential attack surfaces • Translate real-world attack techniques and SaaS security risks into scalable product capabilities, including detections, posture checks, and risk signals • Contribute to both threat detection and posture management content, ensuring broad coverage across identity, access, integrations, and data exposure risks • Analyze large-scale SaaS telemetry to identify patterns, anomalies, and opportunities for new detections or improvements • Continuously improve detection quality by reducing false positives and ensuring signals are actionable for customers • Collaborate with Engineering to productionize detection logic and ensure reliable execution at scale • Partner with Product to shape how security insights are surfaced, prioritized, and explained to users • Stay current on emerging SaaS attack techniques, identity threats, OAuth risks, and AI-related security considerations • Contribute to internal knowledge sharing and help elevate SaaS security expertise across the organization

About AppOmni AppOmni prevents SaaS data breaches by delivering end-to-end SaaS security. Our platform gives security teams clear visibility into posture, access, third-party connections, AI-related activity, and with built-in discovery to identify unsanctioned SaaS and Shadow AI tools. Backed by continuous monitoring and real-time threat detection, AppOmni helps enterprises identify and resolve risks early, keeping their SaaS applications secure. Recognized as a Frost Radar™ 2025 Leader and Great Place To Work®, AppOmni continues to set the standard for innovation and customer value in SaaS security. The largest and fastest-growing global enterprises across industries trust AppOmni to secure their SaaS applications.. About the Role We are seeking a strategic, results-driven Support Engineer to engage and enable AppOmni’s customers. In this role, you will troubleshoot complex technical issues quickly while serving as a key collaborator between the support, product, and field teams. As a senior member of the team, you are expected to operate with a high degree of independence, managing complex cases to resolution and synthesizing customer feedback to drive product improvements. What You'll Do: Technical Support & Issue Resolution - Answer customer questions through our support queue - Debug customer issues, create reproducible test cases for developers, and validate fixes and workarounds - Diagnose, troubleshoot, and solve customer problems with the help of product and CS colleagues. - Take ownership of pushing cases to resolution including working with product, engineering, and Customer Success teams. - Help us track support metrics and share findings you identify - Become deeply familiar with AppOmni’s platform and product offering - Help build a world class support organization - Continuously analyze and improve our support process - Represent customers internally and advocate for key issues - Ensure AppOmni customers are maximizing the value of their AppOmni deployment What We're Looking For: - Self-driven and self-motivated individual who enjoys a fast moving and constantly changing environment. Startup experience is a plus. - 1-2 years of experience in technical support - Ideal candidates have the ability to understand the technical complexity, a keen sense for managing people, and a great ability to get stuff done. Deep curiosity and the ability to go above and beyond to tackle big problems are key. - Zendesk knowledge required - Experience working with end users in professional environments - Working knowledge of common SaaS solutions such as Salesforce, M365, Zoom, Box, ServiceNow, Workday is desired, not required. - AppOmni is a technical security product, so ideally you are a security engineer and enjoy learning new technologies - Ability to triage, diagnose and drive to resolution customer support requests - High standards for detail, process and quality - A self-starter - able to come up to speed on complex, difficult concepts with minimal assistance - Four years of technical support or software development - Ability to learn technical concepts and translate them to business solutions for customers - Conversationally fluent in spoken English and written English Culture Our talented team is collaborative and supportive as we move quickly to research and develop new ideas, deliver new features to our customers, and iterate on ideas and innovations. We accomplish this by focusing on our five core values: Trust, Transparency, Quality, Customer Focus, and Delivery. Our team is determined to make a difference to positively impact our way of life by securing the technology that is changing the world. AppOmni is proud to be Certified by Great Place to WorkⓇ, as we seek to build a culture where all employees feel appreciated and supported, especially with clear and honest leadership, employee recognition, and an environment that fosters innovation and collaboration. We believe diversity fuels innovation and drives growth by bringing a wealth of different perspectives and skills. We’re committed to fostering an inclusive environment where every employee feels valued, heard, and empowered to reach their full potential. Join us in building a workplace where we can all thrive. https://appomni.com/careers/ Compensation & Benefits AppOmni is committed to supporting our employees' financial, professional, and personal well-being. To do this, we take a holistic view of compensation, one that values not just the immediate financial package but also the long-term growth of both our employees and our company. We're committed to pay equity and transparency and encourage all candidates to discuss their salary expectations with us early in the application process. Our total rewards package includes the following: - Base Salary: The annual base salary compensation range in the U.S. for this role is: $90,000 - $135,000 USD. Final offer amounts are determined by factors such as the final candidate’s skills, qualifications, and experience, as well as business considerations and peer compensation. - Stock Options: Our vision is to not just grow as a company but to grow together. By offering stock options, we are inviting you to be an integral part of our journey forward. - Benefits: Home office stipend, Generous paid time off, paid company holidays, paid floating holidays, paid parental leave, paid sick time and paid family leave for applicable states, health insurance - medical, dental, and vision with HSA option, LifeWorks Employee Assistance Program, company-provided life insurance, AD&D, STD/LTD and additional supplemental life insurance options, 401(k) and Roth retirement saving accounts, and a monthly wellness benefit reimbursement. All benefits are subject to eligibility requirements and plan details. AppOmni is an equal-opportunity employer. Applicants will not be discriminated against because of race, color, creed, national origin, ancestry, citizenship status, sex, sexual orientation, gender identity or expression, age, religion, disability, pregnancy, marital status, veteran status, medical condition, genetic information, or any other characteristic protected by law. AppOmni is also committed to providing reasonable accommodations to qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at employeesuccess@appomni.com.