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We are seeking a seasoned Senior Product Manager to lead strategic initiatives that will shape the future of Singular's platform. This role requires a blend of strategic thinking, technical depth, and exceptional leadership skills to drive cross-company initiatives and coordinate with all aspects of our business.

You'll spearhead major product themes that increase Singulars addressable market and enhance the product value to customers. This role demands someone who can think big, execute flawlessly, and inspire teams across the organization.


What you will do:

Define and execute product strategy for major platform enhancements and new capabilities.

Coordinate cross-functional teams across the entire organization, including engineering, sales, customer success, and marketing.

Work closely with core engineering teams to bring ambitious products to market.

Own products from strategic vision through customer discovery, execution, launch, and performance analysis.

Serve as a product evangelist both internally and externally, representing Singular's product vision to customers and partners.

Mentor other product team members and contribute to the overall product culture and methodology.

Were looking for a visionary Application Security leader to architect and champion the future of secure engineering at our company. You will spearhead our strategy for building resilient, AI-powered systems while enabling developers to innovate with velocity and confidence. Together, we will keep the up-market momentum and continuously improve security as a major part of our value proposition.
Youll Own:
The strategy, architecture, and execution of Application Security across our companys engineering organization.
Leading the Application Security function within the Platform Security organization, reporting to the Director of Platform Security.
The Secure SDLC program, including secure design reviews, threat modeling, and security automation.
Security architecture for AI-powered features, agentic workflows, and data-driven systems.
Application security risk management, vulnerability tracking, and remediation programs.
Leading, mentoring, and growing a high-performing Application Security Engineering team.
our companys Bug Bounty program.
Incident response procedures that relate to the Platform.
A Security Champions program across R&D.
Youll Solve:
Enabling developers to build secure products at scale by designing and operating security foundations embedded throughout the SDLC.
Ensuring security is built into the design and delivery of all products while enabling rapid innovation and engineering velocity.
Building security capabilities embedded directly into engineering workflows, including reusable frameworks, libraries, and guardrails.
Partnering with Engineering, Product, Infrastructure, and AI Platform teams to ensure security design.
Balancing security rigor with engineering velocity in a fast-paced environment.
Youll Impact:
Enabling developers to build secure products at scale.
Driving a measurable reduction in application risk through engineering improvements.
Establishing architectural guardrails for data protection, authorization, and runtime controls in AI systems.
Influencing engineering decisions through deep technical collaboration and trust.
Defining the security approach for AI-powered features and LLM integrations.

As an Accounts Payable Manager, you'll lead a critical function within our company's Finance organization, ensuring our Accounts Payable operations remain accurate, compliant, and scalable as the company continues to grow globally. In this hands-on leadership role, you'll develop a high-performing team while remaining closely involved in day-to-day AP operations. You'll own key financial processes, drive automation and process improvements, and partner across Accounting, Procurement, Treasury, Tax, and Finance Systems to deliver operational excellence and support our company's continued growth.
You'll Own:
Lead, coach, and develop the Accounts Payable team by managing day-to-day priorities, conducting one-on-ones, supporting employee growth, participating in performance reviews, and serving as the primary escalation point for complex vendor, employee, and stakeholder inquiries.
Own the end-to-end execution of Accounts Payable operations, including vendor management, invoice review and coding, payment processing, employee reimbursements, bi-weekly payment cycles, vendor reconciliations, month-end close activities, accruals, and AP-related journal entries, while ensuring compliance with company policies, accounting standards, internal controls, and applicable tax and regulatory requirements.
Drive operational excellence across the AP function by monitoring KPIs, identifying bottlenecks, leading automation and process improvement initiatives, supporting finance systems implementations, maintaining documentation and standard operating procedures, supporting internal and external audits, and partnering closely with Procurement, Accounting, Treasury, and business stakeholders to continuously improve Procure-to-Pay processes.
You'll Solve:
Keep Accounts Payable operations accurate, compliant, and scalable while balancing day-to-day execution, competing priorities, evolving business needs, and critical month-end deadlines.
Identify operational inefficiencies, resolve payment and reconciliation issues, and implement process and system improvements that increase quality, efficiency, turnaround times, and long-term scalability.
You'll Impact:
Build and develop a high-performing Accounts Payable function that delivers a seamless experience for employees, vendors, and internal stakeholders while ensuring timely, accurate, and compliant financial operations.
Strengthen our company's Finance organization by driving automation, improving operational efficiency, and optimizing Procure-to-Pay processes through close partnership with Accounting, Procurement, Treasury, Tax, and Finance Systems teams.

As the Head of AI Security, you will be the ultimate authority and strategic leader responsible for securing our AI/ML infrastructure, data pipelines, and deployed models, you will bridge the gap between advanced data science and enterprise-grade security. You will design, implement, and oversee security frameworks that protect our proprietary AI technologies, multi-agent systems, and RAG architectures.
Youll Own:
our companys end-to-end AI security strategy across AI/ML infrastructure, data pipelines, LLMs, RAG systems, and autonomous AI agents
Secure-by-design frameworks and security architecture for AI-powered products and platforms
AI threat modeling, adversarial testing, red teaming, and vulnerability management programs
AI governance, internal security policies, and alignment with emerging global AI regulations and standards
Security tooling, automation frameworks, and continuous monitoring capabilities for AI environments
Cross-functional security leadership across Data Science, AI Engineering, Product, Infrastructure, and SecOps teams
Youll Solve:
Protecting AI systems against emerging threats such as prompt injection, model inversion, data poisoning, and training data leakage
Preventing sensitive customer and enterprise data from leaking into training sets or model outputs
Securing complex AI architectures including LLMs, RAG pipelines, and multi-agent systems at scale
Embedding security seamlessly into the ML lifecycle without slowing innovation
Building scalable AI security operations through automation, monitoring, and continuous adversarial testing
Navigating evolving AI governance, compliance, and regulatory requirements across global markets
Youll Impact:
Maintain our companys reputation as a leader in secure and trustworthy enterprise AI
Build the foundation that allows AI innovation to scale safely and responsibly
Strengthen customer trust by protecting highly sensitive conversational and business data
Create resilient AI systems that can withstand real-world attacks and emerging threat vectors
Drive a security-first AI engineering culture across the organization
Shape the future of AI security, governance, and MLSecOps in a hypergrowth AI company.

As an Application Infrastructure Team Lead, youll spearhead the development of the core frameworks and services that power our entire ecosystem. In this role, youll sit at the vital intersection of application development and systems engineering, ensuring our platform remains resilient, high-performing, and developer-friendly as we scale.
If you are a technical heavyweight who loves Java but thrives on leading teams through complex data and infrastructure puzzles, this is your opportunity to build the foundation for our next phase of growth.
Youll Own:
Team leadership & mentorship: Guiding a high-performing engineering team and fostering a culture of ownership and excellence.
Core application infrastructure: Designing and maintaining mission-critical frameworks using Java and Spring Boot.
Technical standards: Defining and enforcing the benchmarks for code quality, system performance, and security across the entire stack.
Streaming & messaging pipelines: Owning the reliability and scalability of asynchronous communication using Kafka or SQS.
Youll Solve:
Data layer optimization: Leading specialists to tackle challenges in high availability and performance across PostgreSQL, MongoDB, OpenSearch, and Redis.
Distributed systems complexity: Designing robust pipelines for asynchronous communication and data streaming at scale.
Architecture gaps: Bridging the gap between DevOps and Product teams to align infrastructure capabilities with evolving business needs.
Youll Impact:
Engineering velocity: Providing the foundational building blocks that empower all product engineering teams to build faster and better.
System reliability: Ensuring the high availability, scalability, and security of mission-critical systems.
Technical culture: Driving a mindset of continuous improvement and technical excellence that resonates across the R&D organization.

Were looking for an Engineering Team Lead, who will be responsible for the foundational infrastructure framework used by all our company engineering teams to build, deploy, and operate AI agents safely in production. We are building the "operating system" for AI at our company, 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 companys 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 companys 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 at our company 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 at our company will rely on.
AI Safety and Quality Bar: Raising the bar for how AI systems are evaluated, monitored, and governed across the company.

As a Payroll Manager, you'll lead payroll operations for 550+ employees in Israel, ensuring every payroll cycle is accurate, compliant, and efficient. You'll own end-to-end payroll processes, partner closely with HR, Finance, Legal, and external vendors, and drive operational improvements that support our company's continued growth in a fast-paced global environment.
You'll Own:
Leading end-to-end payroll operations for 550+ employees in Israel, ensuring accuracy, timeliness, and full compliance with Israeli labor laws, tax regulations, and company policies.
Owning payroll reporting, reconciliations, month-end close activities, payroll-related accounting processes, and maintaining payroll data integrity across the employee lifecycle.
Driving continuous improvements to payroll processes, systems, and controls while partnering with HR, Finance, Legal, Equity, and external payroll consultants to ensure seamless payroll operations.
You'll Solve:
Identifying payroll risks, proactively resolving discrepancies, and implementing scalable solutions that improve payroll accuracy, efficiency, and operational excellence.
Supporting complex payroll scenarios, including equity compensation, pension plans, reserve-duty pay, global payroll processes, multi-currency payroll considerations, and cross-border tax implications.
You'll Impact:
Ensuring every employee is paid accurately and on time while maintaining the highest standards of compliance and operational excellence.
Building scalable payroll processes, driving automation and stronger financial controls across payroll operations, and serving as a trusted payroll partner to Finance, HR, Legal, and leadership.

As a Senior Backend Engineer, you'll dive into complex technical challenges, craft innovative solutions, and play a pivotal role in our mission to revolutionize the way companies understand their customer interactions. We're seeking a Java professional who can leverage their deep knowledge to drive our backend development to new heights.
Youll Own:
System Architecture: Leading the design and implementation of complex, scalable, and high-performance backend services and APIs.
Feature Lifecycle: Taking end-to-end ownership of major product initiatives, from initial design to coordinating delivery across Backend, Frontend, and Product teams.
Engineering Standards: Establishing and driving team-level best practices for code quality, testing strategies, and CI/CD processes.
Youll Solve:
Technical Complexity: Analyzing and debugging intricate challenges across the stack to ensure long-term system reliability.
Cross-Functional Friction: Managing risks and coordinating dependencies between multiple teams to ensure seamless feature delivery.
Scalability Bottlenecks: Implementing preventive measures and high-performance solutions to keep services running smoothly under load.
Youll Impact:
System Integrity: Building the foundation for high-performance services that directly affect the stability and speed of the entire product.
Operational Excellence: Elevating the team's technical bar through the implementation of robust CI/CD and quality processes.
Strategic Delivery: Shaping how major initiatives are executed, ensuring technical excellence is balanced with business milestones.

As a Senior AI Infrastructure Engineer at our company, you'll lead the development and scaling of our machine learning training and AI infrastructure, enabling our AI and Research teams to build, train, and deploy cutting-edge AI solutions at scale. You'll collaborate across research, engineering, and business teams to create the foundations that power our companys AI innovation.
Youll Own:
Developing and evolving our companys machine learning platform, including shared libraries, development standards, CI/CD pipelines, and ML/AI tooling.
Designing and building scalable infrastructure that supports large-scale model training, experimentation with classic models and LLM, and validation.
Driving MLOps strategy and best practices, partnering with cross-functional teams to improve developer productivity, platform reliability, and operational efficiency.
Youll Solve:
Scaling machine learning infrastructure to support growing AI workloads, increasingly complex models, and rapid experimentation cycles.
Creating standardized, efficient workflows that enable research and engineering teams to move from experimentation to production faster and more reliably.
Youll Impact:
Accelerate AI innovation by building robust infrastructure that enables teams to develop, train, evaluate and validate models efficiently.
Improve the scalability, reliability, and consistency of machine learning development across our companys AI organization.

As a Senior Backend Engineer, you'll dive into complex technical challenges, craft innovative solutions, and play a pivotal role in our mission to revolutionize how companies understand their customer interactions. We're seeking a strong Python developer who can leverage deep technical knowledge to drive our backend development to new heights.
Youll Own:
System Architecture: Leading the design and implementation of complex, scalable, and high-performance backend services and APIs.
Feature Lifecycle: Taking end-to-end ownership of major product initiatives, from initial design to coordinating delivery across Backend, Frontend, and Product teams.
Engineering Standards: Establishing and driving team-level best practices for code quality, testing strategies, and CI/CD processes.
Youll Solve:
Technical Complexity: Analyzing and debugging intricate challenges across the stack to ensure long-term system reliability.
Cross-Functional Friction: Managing risks and coordinating dependencies between multiple teams to ensure seamless feature delivery.
Scalability Bottlenecks: Implementing preventive measures and high-performance solutions to keep services running smoothly under load.
Youll Impact:
Data Architecture: Architecting systems that handle massive amounts of external data, ensuring high availability and accuracy across diverse APIs and sources.
our companys Evolution: Building the foundation of a new core product that directly influences how sales and marketing teams identify and reach their next customers.
Strategic Delivery: Shaping how major initiatives are executed, ensuring technical excellence is balanced with business milestones.