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About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. Excellence everywhere: Everything we do should match the quality of our AI models. Global team: We prioritize your talent, not your location. What we offer Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. Growth paths: Joining ElevenLabs means joining a

About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. Excellence everywhere: Everything we do should match the quality of our AI models. Global team: We prioritize your talent, not your location. What we offer Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. Growth paths: Joining ElevenLabs means joining a

The Team + The Role Our Emerging Team is focused on building AI Products for our product experience (PX) platform. We build from the ground up to explore, prototype, and ship AI-native experiences that change how software teams understand and serve their users. This is not an AI layer added to existing product; it is a deliberate bet on what product intelligence looks like next. The team operates with high autonomy, moves quickly, and builds products without clear precedents. As a Staff Software Engineer (AI), you will sit at the intersection of deep technical capability and strong product judgment. You will design and build production-grade AI systems, including RAG pipelines, agentic workflows, and LLM-powered features, while making clear tradeoffs across prompting, fine-tuning, architecture, evaluation, and deployment. You will also partner closely with product, design, and engineering stakeholders to frame the right problems and communicate technical decisions clearly. This role is based in our New York office. What this looks like day-to-day Applied AI systems: Design and build AI-native systems, including RAG pipelines, agentic workflows, and LLM-powered product features. You will take ideas from prototype through production and ensure they can support real users. Model strategy: Make principled decisions about when to prompt, when to fine-tune, and when to use a different technical approach entirely. You will explain those tradeoffs clearly to engineers and non-engineers. Evaluation and guardrails: Instrument and evaluate model outputs rigorously by defining evaluation frameworks and identifying hallucinations early. You will implement guardrails that hold up under real-world usage and load. Productionize AI ownership: Own model deployment, monitoring, latency optimization, cost management, and reliability at scale. You will ensure AI systems are observable, performant, and production-ready. Full-stack delivery: Contribute across the stack when needed to get

The Team + The Role Our Emerging Team is focused on building AI Products for our product experience (PX) platform. We build from the ground up to explore, prototype, and ship AI-native experiences that change how software teams understand and serve their users. This is not an AI layer added to existing product; it is a deliberate bet on what product intelligence looks like next. The team operates with high autonomy, moves quickly, and builds products without clear precedents. As a Sr. Software Engineer (AI), you will sit at the intersection of deep technical capability and strong product judgment. You will design and ship applied AI systems, including RAG pipelines, agentic workflows, and LLM-powered features, from prototype through production. You will make principled technical decisions, evaluate model behavior rigorously, and communicate tradeoffs clearly to engineers and non-engineers alike. This role is based in our New York office. What this looks like day-to-day Applied AI systems: Design and build AI systems including RAG pipelines, agentic workflows, and LLM-powered features. You will take work from prototype through production and ensure it can hold up in real customer environments. Technical decision-making: Make principled decisions on when to prompt, when to fine-tune, and when to use a different tool entirely. You will explain these tradeoffs clearly so the team can move quickly without sacrificing quality. Model evaluation: Instrument and evaluate model outputs rigorously by defining evaluation frameworks and catching hallucinations early. You will implement guardrails that can withstand real-world load and production use. Productionize AI ownership: Own model deployment, monitoring, latency optimization, cost management, and reliability at scale. You will help ensure AI systems are observable, efficient, and dependable in production. Full-stack product shipping: Contribute across the stack when needed because this team ships products, not just models

We're looking for a Business Process Manager to serve as the connective tissue between our Renewals and Customer Success teams and the Enterprise Technology organization. This is a cross-functional, high-visibility role for someone who thrives at the intersection of operations, strategy, and technology — someone who can walk the floor with a CSM in the morning, then translate what they heard into a crisp business requirements document by afternoon. This role is based in our San Francisco office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Serve as the translation layer between the field and technical teams - embed with Renewals, Customer Success, and adjacent teams to develop a ground-level understanding of how work actually gets done Surface pain points, bottlenecks, and unmet needs through structured discovery: interviews, process shadowing, workflow audits, and data analysis. Translate field insights into clear, actionable business requirements that the Enterprise Technology team can execute against Own the process improvement lifecycle - Map current-state workflows and identify gaps between how tools are used and how they could be used. Prioritize improvement opportunities based on business impact, effort, and strategic alignment Track adoption and outcomes post-launch; close the feedback loop with stakeholders Drive cross-functional alignment

We are Datadog's in-house product experts. The Technical Solutions team enables Datadog’s worldwide growth by educating potential clients and ensuring that existing customers are happy and successful. As a Technical Account Manager 2 (TAM 2), you’ll serve as a trusted advisor to our strategic customers, accelerating their adoption of the Datadog platform and enabling long-term success. TAM 2s bring deep technical expertise, refined customer skills, and consultative insight into how monitoring, observability, and DevOps practices translate to business value. At Datadog, we place value in our office culture—the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Act as a technical advisor to 3 primary enterprise accounts, ensuring successful product adoption and effective usage of the Datadog platform. Lead enablement and adoption sessions across core product areas tailored to your customer’s architecture and business needs. Analyze customers’ IT Operations environments and workflows to recommend configuration, product usage, and performance improvements. Deliver technical business reviews, health checks, and account maturity assessments, contributing to customer QBRs with impactful recommendations. Escalate product issues appropriately and advocate for your customers’ needs with Datadog’s Product and Engineering teams. Create executive-level summaries and insights that tie platform usage to business outcomes. Participate in internal TAM strategy sessions and contribute to team learning through feature presentations, case studies, or best-practice sharing Who You Are: You have 2+ years of experience in a technical customer-facing role (TAM, Solutions Architect, SRE, DevOps Engineer, or similar) within the cloud or observability space. You’re confident with at least two public cloud platforms (e.g. AWS, Azure, GCP)

Datadog’s Technical Solutions organization includes 1,200+ sales engineers, support engineers, post-sales experts, and solution architects. They run on an ecosystem of enterprise platforms and internal tools that directly shape how we serve customers. Technical Solutions Operations (“TSO”) owns that ecosystem. We manage the full lifecycle of the systems TS depends on: Zendesk, Jira, Confluence, and a growing portfolio of off-the-shelf and purpose-built tools. We do the work to operate, maintain, and evolve the platforms powering daily workflows across TS. When a vendor tool reaches its limits, we extend it through customization, integration, or targeted solution development, tapping internal partners across Datadog as needed. We’re looking for a Systems Engineer who wants to own enterprise platforms end-to-end. You go from understanding the business process, to designing the right solution (whether that’s configuration, integration, or code), to measuring whether it actually moved the needle. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Own enterprise systems through their full lifecycle. You’ll be the technical owner for one or more platforms that TS relies on daily. That means understanding how the system is used, where it’s falling short, what’s coming from the vendor roadmap, and what needs to change. You drive improvements from assessment through implementation. Engineer solutions that create leverage. Not every problem is solved by configuration. You’ll build and evolve enterprise systems, integrations, automations, and internal tools that multiply the effectiveness of 1,200+ technical experts. Where AI can make a solution smarter (e.g., intelligent routing, automated triage, agent-assisted workflows), you'll include AI in the initial design, no

As a Senior Enterprise Sales Engineer, you’ll serve as a trusted technical advisor and strategic partner to both customers and Sales. You’ll lead complex technical evaluations, align solutions to business outcomes, and help shape deal strategy in high-impact opportunities. This role goes beyond delivering demos - you’ll own the evaluation experience end-to-end, influence key stakeholders, and help drive successful outcomes across enterprise accounts. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Own the sales process in partnership with Account Executives by leading and shaping the technical strategy across opportunities from PG to Closed Won Lead customer discovery to uncover technical challenges, business goals, and success criteria, then translate those needs into tailored Datadog solutions and measurable business outcomes Deliver engaging product demos, technical presentations, and solution workshops that connect platform capabilities to customer outcomes for diverse stakeholder audiences including executives Full ownership of the technical evaluations (POVs) end-to-end: scoping use cases and requirements, defining competitive success criteria, building a project plan with clear timelines, and holding all participants accountable to the process Identify, develop, and leverage technical champions across multi-stakeholder environments, building a structured plan for champion cultivation and influence throughout the deal cycle Contribute to product direction through active p

Datadog's integrations are the connective tissue between our platform and the technologies our customers run in the real world. As a Sr. PM on the Agent Integrations team, you will own the vision, prioritization, and execution for 100+ integrations that run directly inside the Datadog Agent from foundational infrastructure (MySQL, Kafka, Kubernetes) to the rapidly growing landscape of self-hosted AI and on-premise enterprise technologies. This is a high-impact, breadth-first role at the intersection of infrastructure observability and the frontier of AI-native workloads. At Datadog, we place value in our office culture; the relationships it builds, the creativity it brings, and the collaboration of being together. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do: Own the Agent Integrations roadmap. Determine which new integrations to build and which existing ones to improve, balancing customer demand, business impact, and engineering capacity across a catalog of 100+ technologies. Drive the expanding AI integration surface. Lead product strategy for self-hosted AI workloads, including LLM inference frameworks (e.g., Hugging Face TGI, BentoML), AI agents, MCP servers, and model orchestration tools, so Datadog customers can monitor every layer of their AI stack. Expand on-prem and hybrid coverage. Prioritize and execute new integrations for on-prem technologies including storage systems, HPC schedulers, network devices, and legacy enterprise platforms where customers run critical workloads. Build observability for ERP systems. Define and drive Datadog's strategy for monitoring enterprise ERP platforms (SAP, Oracle EBS/Fusion, Microsoft Dynamics) covering performance, job execution health, and integration layer telemetry so enterprise customers can observe their ERP stack alongside the rest of their infrastructure. Analyze adoption and customer feedback at scale. Use data from multiple sources to

Datadog is seeking an Employment Counsel to join our growing global Employment Legal team. In this role, you will serve as a trusted legal advisor to the People team, business leaders, and cross-functional partners on a broad range of employment law matters impacting our workforce and culture. While your primary focus will be supporting our U.S. operations, you will also contribute to global initiatives and projects as the company continues to scale. This role offers the opportunity to influence strategic people decisions while partnering across a fast-paced, collaborative technology organization. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do: Advise the People team and business leaders on a broad range of U.S. employment law matters, including recruiting, hiring, performance management, accommodations, leaves of absence, employee relations, investigations, compensation, terminations, restrictive covenants, and wage and hour compliance. Draft, review, and provide legal guidance on employment-related documents, including offer letters, contractor agreements, separation agreements, and employment policies. Partner cross-functionally with Legal, People, and business stakeholders to develop compliant employment practices and support strategic company initiatives. Provide employment law support throughout mergers, acquisitions, and post-close integration activities. Assess legal risk, recommend practical business solutions, and support decision-making on complex workforce matters. Monitor changes in employment laws and regulations and help implement policies and processes that promote ongoing compliance. Who You Are: J.D. from an accredited law school and an active member in good standing of a U.S. state bar (New York preferred). At least 4 years of experien

The Role MongoDB is seeking a Staff Product Manager to lead strategic initiatives across Identity and Security. In this role, you will serve as the senior product leader shaping the next generation of authentication, authorization, and access control across MongoDB Atlas, the core database engine, and emerging developer platforms. You will lead the strategy for non-human identity—spanning workload identity federation, zero-trust passwordless access, Model Context Protocol (MCP) integrations, and autonomous AI agentic identity. You will partner closely with engineering, UX, product marketing, and enterprise customers to build identity experiences that are enterprise-grade, seamless for developers, and secure by default. Responsibilities Set and champion a multi-year product strategy across interrelated identity areas, aligning dependencies and investments to MongoDB’s broader objectives Identify cross-cutting customer and market opportunities, build business cases for investment, and bring a clear point of view to senior stakeholders Lead workload identity federation and programmatic access initiatives across cloud and enterprise identity environments Define secure authorization approaches for AI agents and MCP clients, including delegation, identity lifecycle, policy, and administrative controls Drive developer-first access management, ensuring security controls enhance rather than obstruct developer velocity Partner with engineering, design, GTM, and cross-functional leadership to validate enterprise requirements, prioritize initiatives, and measure feature adoption Stay ahead of evolving cloud security paradigms, emerging standards (e.g., SPIFFE/SPIRE, O4AA), and AI access patterns to guide executive decision-making Represent MongoDB’s security and identity vision at industry events, customer advisory boards, and executive briefings Demonstrate creativity, an innovative spirit, and a bias towards action Requirements 8+ years (or equivalent experience) in Pro

The Role MongoDB is seeking a Staff Product Manager to lead strategic initiatives across Identity and Security. In this role, you will serve as the senior product leader shaping the next generation of authentication, authorization, and access control across MongoDB Atlas, the core database engine, and emerging developer platforms. You will lead the strategy for non-human identity—spanning workload identity federation, zero-trust passwordless access, Model Context Protocol (MCP) integrations, and autonomous AI agentic identity. You will partner closely with engineering, UX, product marketing, and enterprise customers to build identity experiences that are enterprise-grade, seamless for developers, and secure by default. Responsibilities Set and champion a multi-year product strategy across interrelated identity areas, aligning dependencies and investments to MongoDB’s broader objectives Identify cross-cutting customer and market opportunities, build business cases for investment, and bring a clear point of view to senior stakeholders Lead workload identity federation and programmatic access initiatives across cloud and enterprise identity environments Define secure authorization approaches for AI agents and MCP clients, including delegation, identity lifecycle, policy, and administrative controls Drive developer-first access management, ensuring security controls enhance rather than obstruct developer velocity Partner with engineering, design, GTM, and cross-functional leadership to validate enterprise requirements, prioritize initiatives, and measure feature adoption Stay ahead of evolving cloud security paradigms, emerging standards (e.g., SPIFFE/SPIRE, O4AA), and AI access patterns to guide executive decision-making Represent MongoDB’s security and identity vision at industry events, customer advisory boards, and executive briefings Demonstrate creativity, an innovative spirit, and a bias towards action Requirements 8+ years (or equivalent experience) in Pro

The Opportunity We are searching for an ambitious Associate Commercial Growth Account Executive. Your role will primarily be identifying new workloads to expand MongoDB's usage into accounts that are already leveraging our Database as a Service (DBaaS), Atlas, in a self-serve manner. You'll focus on helping customers understand the continuous evolution of our developer data platform and its additional features that could be leveraged for their specific use cases. You will support customers at any stage of their journey, fostering greater adoption, retention, and overall satisfaction. This role provides an excellent opportunity for growth in a highly dynamic sales team. This role will be based in our Dublin or Cork office on our hybrid working model. Day to Day Identify new workloads and potential use cases within existing accounts to drive increased Atlas consumption via your own pipeline generation and outbound activities Articulate the value of MongoDB's expanded feature set and evolving developer data platform Support customers throughout their journey, addressing any queries and ensuring optimal product usage Develop relationships within customer accounts to promote greater visibility and deepen the partnership between MongoDB and your account's decision-makers Strategically navigate diverse industries with a data-driven discovery and sales process to help land and expand customer workloads What you bring to the table At least 1 years of Sales experience, with a preference for database or software Consistent record of meeting or exceeding targets in a highly competitive environment (top 10% performer) Dynamic, enthusiastic, tenacious, team-oriented mindset Excellent verbal and written communication skills Experience working within a quota and commission structure College degree or equivalent work experience Native Arabic Speaker High EQ, coachability, intellectual curiosity, and motivation to build a career at MongoDB Things we love Familiarity with database, de

The Opportunity We are searching for an ambitious Commercial Growth Account Executive. Your role will primarily be identifying new workloads to expand MongoDB's usage into accounts that are already leveraging our Database as a Service (DBaaS), Atlas, in a self-serve manner. You'll focus on helping customers understand the continuous evolution of our developer data platform and its additional features that could be leveraged for their specific use cases. You will support customers at any stage of their journey, fostering greater adoption, retention, and overall satisfaction. This role provides an excellent opportunity for growth in a highly dynamic sales team. We are looking to speak to candidates who are based in Dublin or Cork for our hybrid working model. Day to Day Identify new workloads and potential use cases within existing accounts to drive increased Atlas consumption via your own pipeline generation and outbound activities Articulate the value of MongoDB's expanded feature set and evolving developer data platform Support customers throughout their journey, addressing any queries and ensuring optimal product usage Develop relationships within customer accounts to promote greater visibility and deepen the partnership between MongoDB and your account's decision-makers Strategically navigate diverse industries with a data-driven discovery and sales process to help land and expand customer workloads What you bring to the table At least 1-2 years of Sales experience, with a preference for database or software Consistent record of meeting or exceeding targets in a highly competitive environment (top 10% performer) Dynamic, enthusiastic, tenacious, team-oriented mindset Excellent verbal and written communication skills Experience working within a quota and commission structure College degree or equivalent work experience High EQ, coachability, intellectual curiosity, and motivation to build a career at MongoDB Native German speaking Things we love Familiarity with d

The Technical Services Partner Support team works closely with MongoDB partners to help ensure our mutual customer environments are healthy, stable, and successful on the MongoDB data platform. This team serves as a critical extension of Technical Services, helping partners navigate complex technical issues, accelerate resolution paths, and deliver a consistently strong support experience. We are looking for a Manager, Technical Services Partner Support to lead a team of highly skilled technical services engineers responsible for managing partner-facing technical cases and escalations. This leader will coach and grow the team, ensure excellent operational execution, and strengthen collaboration across Technical Services, Support Delivery, Product, Engineering, Customer Success, and Partner teams. This role is ideal for a people leader who is passionate about customer outcomes, calm execution during escalations, and building scalable support practices for a fast-growing partner ecosystem. Sufficient experience leading technical teams and functions will be considered in lieu of prior people management experience. We are looking to speak to candidates who are based in Austin, TX for our hybrid working model. Responsibilities Lead and develop a high-performing team: Manage daily operations, staffing, hiring, mentoring, and performance while fostering a culture of technical rigor, accountability, and empathy Oversee partner support and escalations: Drive operational excellence in triage and resolution for complex, high-priority partner issues, coordinating cross-functionally across Engineering, Product, and Customer Success Optimize processes and scale operations: Drive continuous improvement by identifying process gaps, refining workflows, and leveraging metrics to enhance resolution quality and partner satisfaction Collaborate and advocate: Partner with global leadership to ensure consistent, follow-the-sun service delivery and represent the team’s interests in cross-f