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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.

our company harnesses the power of AI to transform how revenue teams win. The company Revenue AI Operating System unifies data, insights, and workflows into a single, trusted system that observes, guides, and acts alongside the worlds most successful revenue teams. Powered by the our company Revenue Graph, AI-powered intelligence, specialized agents, and trusted applications, our company helps more than 5,000 companies around the world deeply understand their teams and customers, automate critical sales workflows, and close more deals with less effort.
At our company, you will join a company built on innovative products, ambitious goals, and passionate people. We are shaping the future of revenue intelligence and we want people who are excited to build what comes next. You will work with a team that dreams big, moves fast, and cares deeply about the craft and about each other. Here, transparency and trust are core to how we operate, and every person has the opportunity to make a visible impact. If you want to grow, stretch, and do work that truly matters, we are the place to do the best work of your career.
As a Senior Product Analyst, you will:
Influence change by presenting product and customer data-driven insights to product management and senior leadership; confidently present the outcome of your analysis and make recommendations to executives and team leaders.
Be the right hand of product and business leaders in building business cases for new product functionality, and tracking the effectiveness of the functionality over time; monitor key metrics, identify business trends and generate forecasts.
Lead deep-dive analysis that will frame product strategy and product roadmap decisions.
Foster our data-centric, continuous learning culture with your passion for telling stories with data; grow our best practices around reporting quality, data hygiene, and data governance.
Own the design, development, and maintenance of ongoing dashboards and their underlying data sets.
Work collaboratively with product managers and engineers to ensure the right data is generated and collected.

our company harnesses the power of AI to transform how revenue teams win. The company Revenue AI Operating System unifies data, insights, and workflows into a single, trusted system that observes, guides, and acts alongside the worlds most successful revenue teams. Powered by the company Revenue Graph, AI-powered intelligence, specialized agents, and trusted applications, our company helps more than 5,000 companies around the world deeply understand their teams and customers, automate critical sales workflows, and close more deals with less effort.
At our company, you will join a company built on innovative products, ambitious goals, and passionate people. We are shaping the future of revenue intelligence and we want people who are excited to build what comes next. You will work with a team that dreams big, moves fast, and cares deeply about the craft and about each other. Here, transparency and trust are core to how we operate, and every person has the opportunity to make a visible impact. If you want to grow, stretch, and do work that truly matters, we are the place to do the best work of your career.
At our company, 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.

As a Senior Backend Engineer, you will play a pivotal role in shaping the architecture and evolution of our backend services. You'll work in a dynamic, collaborative environment where innovation and creativity are encouraged.

What you'll be doing:
Architect, develop, and test cloud-native microservices, ensuring they meet our high standards of scalability and reliability.
Deeply engage with a range of tech stacks, showcasing your expertise beyond a single framework, particularly in cloud services, Linux, and containerized environments like Kubernetes and Docker.
Enhance our platform's core workflow engine, contributing to the development of enterprise-level applications and services that set us apart in the market.
Collaborate closely with cross-functional teams, including sales and customer success, to ensure our solutions are perfectly tailored to customer needs.
Grow a culture of continuous learning and improvement, mentoring team members and guiding their professional development.
Lead best practices in observability by implementing effective logging, metrics, and tracing systems.
Design and build systems with security at the forefront, understanding and applying key security concepts to protect our customers and their data.

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.
Youll Impact:
Support a culture where security is embedded into the foundation of engineering
Turn security into a strategic product advantage and customer trust differentiator
Improve developer experience by making the secure path the easiest path
Increase engineering velocity while strengthening platform resilience
Shape the future intersection of Security, AI, and Platform Engineering
Create scalable systems, processes, and relationships that grow with the companys innovation pace.

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.

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.

We are looking for a Senior Security Product Manager to drive the strategy, development, and growth of our product, shaping how security teams automate and scale their security operations across the enterprise.

This is a strategic product role at the center of our growth. You will define the product vision, translate deep security domain knowledge into scalable product capabilities, and partner across Engineering, R&D, GTM, and Customer Success to deliver exceptional outcomes. This role requires strong technical depth, security expertise, and an AI-first mindset.

What You'll Do
Define and execute product strategy - Own the roadmap for your product areas, balancing near-term customer needs with long-term vision. Think big, plan strategically, and dive deep into the details to ensure flawless execution.
Translate security expertise into product - Draw on your security domain knowledge to deeply understand how security teams operate, and shape features that solve real operational challenges at scale.
Drive end-to-end product development - Lead initiatives from discovery through design, development, release, and iteration - including full product launches in close partnership with GTM.
Go-to-market execution - Partner with GTM to plan and execute product launches end-to-end: develop positioning, messaging, sales enablement, and launch plans that land with security practitioners and buyers alike.
Engage directly with customers - Work with enterprise customers and internal teams to understand security architectures, workflows, and unmet needs.
Own product specifications - Write clear, rigorous technical and product requirements that guide engineering and ensure high-quality delivery.
Leverage AI throughout your workflow - Use AI tools to accelerate research, synthesis, spec writing, and decision-making - and bring that same AI-first thinking to every product initiative you lead.

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 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 Data Scientist on the AI Research & Reliability team, you will be a driving force in shaping the future of our company AI. You will act as a technical leader, working with cutting-edge LLMs, NLP, and machine learning to tackle our most ambiguous and complex customer problems. Working alongside Product, Engineering, and Data Scientist, you will spearhead the architecture, evaluation, and deployment of enterprise-grade AI capabilities at scale, while elevating the technical standards of the team.
You'll Own
The AI Technical Strategy: Lead the AI product lifecycle by partnering deeply with Product and Engineering to translate complex business needs into scalable, state-of-the-art AI solutions. Define the overarching AI approach, agent architectures, success metrics, and long-term technical vision before implementation.
Advanced Agentic Systems: Architect, build, and optimize complex sub-agents, tool-use mechanisms, retrieval systems, and memory architectures that power our company AI Agents. Establish industry-leading evaluation frameworks and benchmarks to rigorously measure and continuously improve workflow reliability.
Conversational Intelligence at Scale: Pioneer new NLP- and LLM-based methodologies to analyze massive, unstructured conversation datasets. You will design approaches that capture the deep intent, nuance, and strategic signals within human interactions.
Production-Grade Model Engineering: Architect highly robust and scalable Python pipelines. Set the standard for creating proprietary datasets, training/fine-tuning models, and integrating LLM-powered solutions into production environments serving millions of critical customer interactions.
You'll Solve
Complex Business Context Reasoning: Designing AI systems that can autonomously reason over vast, unstructured data spaces-combining conversations, CRM signals, and diverse data sources to uncover high-level insights and drive executive decision-making.
Architecting Intelligent Agent Experiences: Solving the hardest architectural challenges around long-term memory, multi-step reasoning, retrieval accuracy (RAG), and deterministic evaluation to ensure our company AI Agents deliver flawless, context-aware assistance.
Extracting Actionable Intelligence: Pushing the boundaries of applied NLP and LLMs to understand deep customer dynamics, foresee market trends, and transform raw, noisy conversations into structured, actionable intelligence across the customer lifecycle.
Advancing Applied AI Innovation: Leading experimentation with state-of-the-art AI approaches (advanced RAG architectures, parameter-efficient fine-tuning, complex agentic workflows) to solve novel product challenges and drastically improve AI quality and reliability.
You'll Impact
Global Sales Transformation: The foundational AI architectures you build will directly empower thousands of enterprises, fundamentally changing how revenue teams operate, strategize, and close deals.
Strategic Innovation to Implementation: You will bridge the gap between academic/bleeding-edge NLP developments and enterprise application, translating complex research into high-quality, scalable code that maintains our company's position as an AI industry leader.

Were looking for a Staff Cyber Defense Engineer to help shape the strategy, architecture, and cross-team execution model of our companys Cyber Defense organization.
As a staff-level individual contributor, you will work across Corporate Security Engineering, Detection and Response Engineering, and Offensive Security to ensure our companys defensive capabilities operate as one coherent system.
This role is a strong fit for someone who combines deep technical judgment with systems thinking, cross-functional influence, and the ability to turn complex security challenges into clear architectural direction, aligned programs, and measurable risk reduction.
Youll own:
The end-to-end defensive architecture across our companys Cyber Defense organization.
Cross-team architecture decisions that span identity, endpoint, SaaS, telemetry, response readiness, validation, and risk reduction.
Identification of control gaps, overlaps, weak handoffs, and systemic friction across teams.
Multi-team security initiatives that require sustained coordination, sequencing, and executive visibility.
Group-level prioritization support, including helping leadership evaluate what should be done first, next, or not at all.
Executive-ready security narratives that translate technical work into business risk, progress, tradeoffs, and outcomes.
Group-wide KPI and measurement frameworks that reflect real security impact rather than raw activity.
Improvements to the operating model, including ownership boundaries, team interfaces, escalation paths, and dependency management.
Special strategic initiatives for the Head of Cyber Defense that require high trust, technical depth, and organizational leverage.
Youll solve:
Connecting team-specific work into a coherent defensive system rather than a collection of isolated programs.
Identifying where architecture, ownership, or sequencing problems slow down execution across Cyber Defense.
Ensuring preventive controls, detections, response actions, and validation efforts reinforce one another.
Turning offensive findings and operational lessons into durable architectural improvements across the group.
Helping the organization make better decisions about tradeoffs, dependencies, and long-term security direction.
Translating complex technical initiatives into clear recommendations for leaders and stakeholders.
Reducing friction in major cross-team programs by aligning goals, owners, milestones, and decision points.
Improving how Cyber Defense scales as the group grows, without creating shadow ownership or organizational ambiguity.
Youll impact:
Making our companys Cyber Defense organization more integrated, effective, and strategically aligned.
Increasing execution speed across complex initiatives that involve multiple security teams and business partners.
Helping leadership make clearer decisions with better visibility into risk, progress, and priorities.
Creating architectural consistency across preventive, detective, and validation capabilities.
Strengthening our companys ability to reduce risk in measurable ways while enabling the business to move quickly.
Helping define what a modern, AI-native Cyber Defense organization should look like at scale.